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TZA | {'date': '2018-01-02', 'ticker': 'TZA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 59.54999923706055, 'high': 61.29999923706055, 'open': 60.4000015258789, 'close': 59.59999847412109, 'ema_50': 64.76555002299953, 'rsi_14': 37.57763268756717, 'target': 59.45000076293945, 'volume': 1572800.0, 'ema_200': 82.03014684330233, 'adj_close': 58.448219299316406, 'rsi_lag_1': 42.56054285426157, 'rsi_lag_2': 35.87786437373116, 'rsi_lag_3': 33.81294253252106, 'rsi_lag_4': 37.414973753839305, 'rsi_lag_5': 44.68085007703605, 'macd_lag_1': -1.3661544709464053, 'macd_lag_2': -1.4839754118712776, 'macd_lag_3': -1.465136626658051, 'macd_lag_4': -1.48087116178138, 'macd_lag_5': -1.469232543256922, 'macd_12_26_9': -1.3978770446269664, 'macds_12_26_9': -1.394542646743396}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 59.45000076293945, '2018-01-04': 59.04999923706055, '2018-01-05': 58.59999847412109, '2018-01-08': 58.34999847412109, '2018-01-09': 58.59999847412109, '2018-01-10': 58.6500015258789, '2018-01-11': 55.59999847412109, '2018-01-12': 54.9000015258789, '2018-01-16': 57.04999923706055}, '1_month_later': {'2018-02-02': 59.34999847412109}, '3_months_later': {'2018-04-02': 63.5}, '6_months_later': {'2018-07-02': 45.79999923706055}, '12_months_later': {'2019-01-02': 74.80000305175781}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
TYO | {'date': '2018-01-02', 'ticker': 'TYO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.039999961853027, 'high': 14.199999809265137, 'open': 14.039999961853027, 'close': 14.18000030517578, 'ema_50': 13.998453000839273, 'rsi_14': 59.34960988533428, 'target': 14.09000015258789, 'volume': 3400.0, 'ema_200': 14.071381384912607, 'adj_close': 13.883010864257812, 'rsi_lag_1': 52.58622319745403, 'rsi_lag_2': 56.521713891450396, 'rsi_lag_3': 59.677397026386004, 'rsi_lag_4': 58.73016113296404, 'rsi_lag_5': 57.81248253772413, 'macd_lag_1': 0.0526177684606246, 'macd_lag_2': 0.06083382193506637, 'macd_lag_3': 0.06534480682268295, 'macd_lag_4': 0.07422471736867386, 'macd_lag_5': 0.07124270474257521, 'macd_12_26_9': 0.055153697282102954, 'macds_12_26_9': 0.05219213739220805}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 14.09000015258789, '2018-01-04': 14.170000076293944, '2018-01-05': 14.18000030517578, '2018-01-08': 14.25, '2018-01-09': 14.4399995803833, '2018-01-10': 14.4399995803833, '2018-01-11': 14.359999656677244, '2018-01-12': 14.460000038146973, '2018-01-16': 14.420000076293944}, '1_month_later': {'2018-02-02': 15.380000114440918}, '3_months_later': {'2018-04-02': 14.800000190734863}, '6_months_later': {'2018-07-02': 14.949999809265137}, '12_months_later': {'2019-01-02': 13.739999771118164}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
TYL | {'date': '2018-01-02', 'ticker': 'TYL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 176.92999267578125, 'high': 179.00999450683594, 'open': 177.8300018310547, 'close': 178.69000244140625, 'ema_50': 177.92909672305214, 'rsi_14': 32.95450463895891, 'target': 180.19000244140625, 'volume': 183400.0, 'ema_200': 171.31610599504407, 'adj_close': 178.69000244140625, 'rsi_lag_1': 21.153776898052584, 'rsi_lag_2': 21.006843953360004, 'rsi_lag_3': 31.784079821652796, 'rsi_lag_4': 29.50588849918944, 'rsi_lag_5': 27.207432009078786, 'macd_lag_1': -0.22479551515698404, 'macd_lag_2': -0.0772196557493885, 'macd_lag_3': 0.07357414716847188, 'macd_lag_4': 0.2985703372009425, 'macd_lag_5': 0.5091144121478521, 'macd_12_26_9': -0.20702969283877337, 'macds_12_26_9': 0.3529210416362566}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 180.19000244140625, '2018-01-04': 183.9499969482422, '2018-01-05': 184.38999938964844, '2018-01-08': 185.19000244140625, '2018-01-09': 186.8600006103516, '2018-01-10': 186.1100006103516, '2018-01-11': 187.88999938964844, '2018-01-12': 187.9499969482422, '2018-01-16': 189.6300048828125}, '1_month_later': {'2018-02-02': 196.52999877929688}, '3_months_later': {'2018-04-02': 204.3300018310547}, '6_months_later': {'2018-07-02': 226.27999877929688}, '12_months_later': {'2019-01-02': 182.2400054931641}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
TYBS | {'date': '2018-01-02', 'ticker': 'TYBS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.100000381469727, 'high': 20.15999984741211, 'open': 20.100000381469727, 'close': 20.15999984741211, 'ema_50': 20.245676027430207, 'rsi_14': 54.132243781023924, 'target': 20.15999984741211, 'volume': 200.0, 'ema_200': 20.75739475300341, 'adj_close': 20.15999984741211, 'rsi_lag_1': 44.769881489166465, 'rsi_lag_2': 45.378171464016425, 'rsi_lag_3': 52.42718985958787, 'rsi_lag_4': 57.205229627001316, 'rsi_lag_5': 51.3888753981367, 'macd_lag_1': -0.054723773828527555, 'macd_lag_2': -0.043029810970484306, 'macd_lag_3': -0.02951458409894414, 'macd_lag_4': -0.05561678619572774, 'macd_lag_5': -0.08812371634550331, 'macd_12_26_9': -0.04411679690356962, 'macds_12_26_9': -0.05661179505442565}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-08': 20.15999984741211, '2018-01-09': 20.3700008392334, '2018-01-11': 20.31999969482422, '2018-01-12': 20.32999992370605, '2018-01-16': 20.25}, '1_month_later': {'2018-02-02': 21.06999969482422}, '3_months_later': {'2018-04-02': 20.540000915527344}, '6_months_later': {'2018-07-02': 20.559999465942383}, '12_months_later': {'2019-01-02': 20.229999542236328}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UAA | {'date': '2018-01-02', 'ticker': 'UAA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/these-sp-500-stocks-got-cut-half-2017-2018-01-02', 'news_author': None, 'news_article': "The S&P 500 (SNPINDEX: ^GSPC) posted a better than 20% gain in 2017, giving investors in the index their best year since 2013. Yet even though many stocks had extremely strong performances over the course of the year, a few laggards didn't participate in the rally. In fact, three companies that were in the S&P 500 at the beginning of the year managed to lose half or more of their value during 2017. Below, we'll look at the two stocks that are still in the S&P 500 and the one that got booted out of the index to see whether any of them has a good chance to recover in 2018.\nRRC data by YCharts .\nFrontier: the former S&P 500 stock\nFrontier Communications (NASDAQ: FTR) was the worst performer by far among these stocks, and its poor performance earned it a ticket out of the S&P 500 early in the year. The overseers of the index noted that Frontier's market capitalization had fallen below the acceptable range in March, even before the telecom company suffered the worst of its losses.\nFrontier suffered a horrible 2017, with its major acquisition of assets in the key markets of Texas, Florida, and California turning out far worse than investors had hoped. By May, the company had decided to slash its lucrative dividend by more than 60% amid high customer churn rates and continued net losses. A 1-for-15 reverse split also highlighted Frontier's difficulties in keeping its share price high enough to avoid delisting concerns. With ongoing trends toward cord cutting, many investors have a hard time seeing much hope for Frontier's future.\nRange Resources gets gassed\nRange Resources (NYSE: RRC) managed to stay in the S&P 500 throughout the year, but its 50% drop wasn't a pleasant experience for shareholders. Even though crude oil prices continued to rise during 2017, Range Resources concentrates more of its attention on natural gas production, and prices in the natural gas market failed to keep up with their counterparts on the oil side of the business.\nInvestors are far more hopeful about Range Resources' prospects for 2018 than they are about Frontier's. Range has a strong presence in the promising Marcellus shale area , which could bring stronger production in the coming year. Longer term, investors in natural gas hope that the rise of exports through liquefied natural gas terminals could support prices in the domestic market, giving companies additional options beyond selling their gas production to U.S.-based consumers. If the cycle turns for natural gas, Range Resources' low costs could make it a big winner.\nUnder Armour stays under attack\nThe athletic apparel industry has been a huge growth driver in recent years, and Under Armour (NYSE: UA) (NYSE: UAA) has been one of the most impressive new entrants to the business. Standing up to much larger competition, Under Armour had strong stock performance coming into 2017, but this year proved to be a difficult one . The primary culprit: rising competition from overseas giant Adidas , along with changing trends that have detracted from Under Armour's youth, women's, and outdoor areas. Difficult conditions in the retail space have also hurt Under Armour, with one major sports-oriented big box retailer going bankrupt and others seeing sales pressure.\nUnder Armour has bounced back in the past month from its worst levels of the year, as those following the stock see promise for the company to mount a comeback in 2018. Yet even after its big decline, Under Armour stock is still richly valued compared to the larger companies in the industry. To succeed, Under Armour will have to figure out how to deal with consumers who are more interested in getting products directly from producers rather than through retail partners -- all the while figuring out how to preserve the fashion value of its brand.\n2017 was a great year for the S&P 500, but these stocks missed out. Frontier Communications looks like it's running out of options, and Under Armour faces major challenges, but Range Resources might be in the best position to rebound in 2018.\n10 stocks we like better than Under Armour (A Shares)\nWhen investing geniuses David and Tom Gardner have a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor , has tripled the market.*\nDavid and Tom just revealed what they believe are the 10 best stocks for investors to buy right now... and Under Armour (A Shares) wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of December 4, 2017\nDan Caplinger has no position in any of the stocks mentioned. The Motley Fool owns shares of and recommends Under Armour (A Shares) and Under Armour (C Shares). The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Under Armour stays under attack The athletic apparel industry has been a huge growth driver in recent years, and Under Armour (NYSE: UA) (NYSE: UAA) has been one of the most impressive new entrants to the business. The overseers of the index noted that Frontier's market capitalization had fallen below the acceptable range in March, even before the telecom company suffered the worst of its losses. Frontier suffered a horrible 2017, with its major acquisition of assets in the key markets of Texas, Florida, and California turning out far worse than investors had hoped.", 'news_luhn_summary': "Under Armour stays under attack The athletic apparel industry has been a huge growth driver in recent years, and Under Armour (NYSE: UA) (NYSE: UAA) has been one of the most impressive new entrants to the business. Range Resources gets gassed Range Resources (NYSE: RRC) managed to stay in the S&P 500 throughout the year, but its 50% drop wasn't a pleasant experience for shareholders. Even though crude oil prices continued to rise during 2017, Range Resources concentrates more of its attention on natural gas production, and prices in the natural gas market failed to keep up with their counterparts on the oil side of the business.", 'news_article_title': 'These S&P 500 Stocks Got Cut in Half in 2017', 'news_lexrank_summary': "Under Armour stays under attack The athletic apparel industry has been a huge growth driver in recent years, and Under Armour (NYSE: UA) (NYSE: UAA) has been one of the most impressive new entrants to the business. Range Resources gets gassed Range Resources (NYSE: RRC) managed to stay in the S&P 500 throughout the year, but its 50% drop wasn't a pleasant experience for shareholders. Investors are far more hopeful about Range Resources' prospects for 2018 than they are about Frontier's.", 'news_textrank_summary': 'Under Armour stays under attack The athletic apparel industry has been a huge growth driver in recent years, and Under Armour (NYSE: UA) (NYSE: UAA) has been one of the most impressive new entrants to the business. Frontier: the former S&P 500 stock Frontier Communications (NASDAQ: FTR) was the worst performer by far among these stocks, and its poor performance earned it a ticket out of the S&P 500 early in the year. Longer term, investors in natural gas hope that the rise of exports through liquefied natural gas terminals could support prices in the domestic market, giving companies additional options beyond selling their gas production to U.S.-based consumers.'}, {'news_url': 'https://www.nasdaq.com/articles/what-were-watching-ces-2018-2018-01-02', 'news_author': None, 'news_article': 'In this pre-taped episode of the MarketFoolery podcast, Chris Hill talks with David Kretzmann from Motley Fool Supernova about what he\'s going to check out at this year\'s Consumer Electronics Show.\nFind out which keynote speakers he\'s going to watch, why a bombshell might drop from some of them, and which ones you\'ll want to pay special attention to. Among other things, they also cover some of the strangest tech that\'s been prominently featured at previous CES shows, as well as how David and Co. decide to split up their time at such a sprawling and densely packed conference.\nA full transcript follows the video.\n10 stocks we like better than Wal-Mart\nWhen investing geniuses David and Tom Gardner have a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, the Motley Fool Stock Advisor, has tripled the market.*\nDavid and Tom just revealed what they believe are the ten best stocks for investors to buy right now... and Wal-Mart wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of December 4, 2017\nThe author(s) may have a position in any stocks mentioned.\nThis video was recorded on Jan. 2, 2018.\nChris Hill: It\'s Tuesday, January 2nd. Welcome to MarketFoolery ! I\'m Chris Hill. Joining me in studio today, from Supernova , David Kretzmann. Happy New Year!\nDavid Kretzmann: Happy 2018!\nHill: Happy 2018! We\'re actually taping this a little early.\nKretzmann: Premature, but hey, we\'re almost there.\nHill: We\'re almost there. And part of the reason we\'re taping early is, you\'re heading out to Las Vegas in early January, along with 150,000 of your closest friends, to CES , the Consumer Electronics Show, which is the biggest consumer electronic trade show in the world.\nKretzmann: Yeah, and it\'s increasingly become more of a tech-oriented display. Two years ago, we had Netflix (NASDAQ: NFLX) steal the show when they announced they were going full global with their expansion, had Reed Hastings really steal the show there. Last year, you had Under Armour (NYSE: UA) (NYSE: UAA) pitching more of its connected fitness stuff, which, obviously, over the last year --\nHill: Yeah, how did that work out for them?\nKretzmann: Yeah, it didn\'t work out so well. Not as well as Netflix a couple of years ago.\nHill: But, you also had NVIDIA (NASDAQ: NVDA) last year.\nKretzmann: Yeah, NVIDIA worked out quite well. It really varies. You see a lot of content companies, which we\'ll talk about, really anything to do with tech, mobile, that whole space, content included in there, entertainment, you really have such a wide array of companies and trends and technologies that are pitched at CES, which is a lot of fun.\nHill: This is a massive event both in terms of the number of people who go, the number of countries that are represented, typically more than 50 countries around the world are represented in some form in the exhibit space. And speaking of the exhibit space, 11 venues, more than 2.5 million square feet of exhibit space. So, I hope you packed really comfortable shoes.\nKretzmann: That\'s the plan. You only see a fraction of everything there. We\'ll have some interviews that are already arranged by the time we get out there. I hope this year, we actually have time to walk some of the floor space and see some of the exhibits and companies that are pitching their latest and greatest technologies. But you know that when you go there, you\'re only going to see a small sliver of everything that\'s there.\nHill: And just the categories alone. You could break this down by category, and we\'re not taking this podcast to CES, but if we did, we could easily do a week\'s worth of episodes when you consider, you have Robotics and AI, you have Health and Wellness, you have esports, Internet of Things, Automotive, Start-ups, it\'s such a massive event. To go back to the keynotes, you and I were talking about this earlier, not too exciting this year. You have the CEO of Ford Motor (NYSE: F) , you have the CEO of Intel (NASDAQ: INTC) . Those are two big, consequential companies. But I don\'t know. It doesn\'t seem to have the sizzle of a Netflix or an NVIDIA.\nKretzmann: No, looking at the list of keynotes this year, it definitely seems like more of a sleeper list of speakers. Over the last couple of years, like we talked about, you had Netflix, Under Armour, NVIDIA, companies that were much sexier, for lack of a better term. And maybe that is the best term we can use there. I was also interested to see that on Wednesday, almost all the keynote speakers there are in the Content, Entertainment, Media category. You have David Zaslav from Discovery Communications , you have executives from Comcast , A&E, YouTube, Turner, and Hulu. So, to me, looking at the list of speakers and the companies that will be there, it seems like content and entertainment and media will really be more of a focal point this year than it has been in past year. Obviously, two years ago, you had Netflix make a huge splash at CES. But it seems like you have a lot of these media companies coming to CES and looking for a bigger presence there. And, obviously, with Disney going after Fox now, you\'re seeing a lot of shake-ups and discussions of, what does the future of media look like. So, I think that will be on the forefront of everyone\'s minds at CES this year.\nHill: That\'s what I think is setting itself up to be maybe the most interesting main stage event, is executives from Turner Broadcasting and Hulu, and the title is, Reimagining Television: A Conversation with Hulu and Turner . Of course, this was something that was arranged weeks, if not months ago. And now, with the very recent news that Disney is going to be the majority owner of Hulu, it\'ll be interesting to see what comes out of that. You have to believe that\'s going to dominate the conversation.\nKretzmann: Yeah. The title of that session is appropriate now. I think now that Disney does have majority of control of Hulu, it really will be reimagining the future of what Hulu looks like. And so far, Bob Iger has really pitched that Hulu will be where the adult-themed content -- that always sounds so weird to say -- but, Hulu will really be the branch for not so much the family friendly content, but the gritty, violent, for lack of a better word, adult content.\nHill: "Now that we own FX, that\'s where we\'re going to put the FX content."\nKretzmann: [laughs] Yeah, FX doesn\'t really fit in alongside Bambi .\nHill: Not really. Having slightly dissed the CEOs of Intel and Ford Motor, I want to try and make it up, at least Jim Hackett at Ford Motor, because connected cars has been a pretty prominent presence at CES for the last couple of years. And in mid-January, of course, is the big auto show in Detroit. It\'s an incredibly busy time for the automotive industry, because they really are spending, maybe not as much time at CES as they are at the auto show, but certainly spending a lot of time there. So, I think while I\'m personally more intrigued by what could come out of the reimagining television conversation, it would not be a shock if Jim Hackett made some news with the connected cars space.\nKretzmann: Yeah. I think the same goes for Intel, because Intel acquired Mobileye over the last year. Really trying to make a bigger push into the chips and technology that go into powering autonomous vehicles. And Ford, to its credit, has done a lot to venture into the ride-sharing space and autonomous vehicles. So, it\'s not like they\'re sitting on their hands with this. But, yeah, they do have the challenge of being an established business in the vehicle space, and trying to find ways to not get disrupted by these emerging trends and technologies. And they seem to be doing a nice job with that. So, it\'ll be interesting to see what they have to say at CES, and obviously the automotive show a week or two after CES. But, yeah, a little bit more of a sleeper name as far as keynote speakers go. But, I agree, I wouldn\'t be surprised if they have some news, especially within that connected car or the ride sharing space category to announce at CES.\nHill: Alright. With so much content, with all these different venues, and this does seem like one of those years where, when you look at the lineup of featured speakers at CES, no one\'s really leaping out to you. So, that frees up a little bit of time. How do you decide, as an investor, as an analyst? How do you decide what you\'re going to focus on?\nKretzmann: We can get a list of all the exhibitors. So, a lot of what we do -- it\'ll be me and maybe one or two other analysts, or people who are going out to CES -- and we\'ll just skim through the list of companies that\'ll be there and see if there are any companies that we\'re familiar with, or are in any of The Motley Fool\'s services as recommendations. And thankfully, we have Mac Greer, who behind the scenes will help us set up interviews with some of these companies, so we have an idea of where to go, when to go there, and who are we going to be talking to. So, having some of that set up beforehand really makes it a lot easier to navigate. We\'ll be talking to some executives from NVIDIA Sunday night, which will be the first night that we fly in there. NVIDIA is having an event for the press, where they\'ll probably be making some announcements, and there will be a chance for us to catch up on the latest there. Skyworks Solutions is a company that we talk to quite a bit. And, some other companies that look interesting to us that we think we could have a good conversation with that we\'re interested in and our members might be interested in. And then, one of the perks -- I guess you could call it that -- with getting a press badge, as soon as you sign up for it, a lot of companies will pitch their event or their booth, their exhibition, to you. And I\'d say one of the weirdest or most surprising ones is a pitch for the world\'s first robot suitcase. This is an autonomous suitcase that follows you around. It has Bluetooth and security features and all these things. It\'s like, I don\'t think that\'s anything I\'ve ever thought about, and I don\'t know if I even need it, even after hearing about it, especially when it has a price tag of over $1,000.\nHill: So, that\'s the feature? Because if you tell me robot suitcase, the first place my brain goes to is, it\'s going to pack for me.\nKretzmann: That\'d be nice.\nHill: I might pay up for a suitcase that would do the packing for me. But this is just, you don\'t have to pull it, you don\'t have to carry it, and you don\'t have to pull it on wheels. Like R2D2 or BB-8, it\'ll wheel itself and stick with you.\nKretzmann: That\'s actually brilliant. I think if it looked like R2D2 or BB-8, I actually might go ahead and buy that. But, yeah, it doesn\'t pack for you, but it can go up to almost seven miles an hour according to the press release that the company sent along. It really just follows you around. I think it tethers to your phone through Bluetooth or something, it can follow you based on where your phone is at. You need to use your fingerprint to open it up. And apparently, when it\'s just at home, it can roam around the home and be a security guard. That\'s another thing they pitch you on.\nHill: What? No.\nKretzmann: Yeah, it seems a little bit scattered here. If I was a venture capital investor, this is not a company I would be leaping to right away. So, yeah, the world\'s first robot suitcase. Out of curiosity, I might just swing by and check it out.\nHill: I was just going to say, I think that\'s a go by, tweet out a photo. You were there last year, wasn\'t there some enormous glowing rubber duck or something like that? What was that thing?\nKretzmann: Edwin the Smart Duck. It was really a Bluetooth speaker housed in a rubber ducky. That\'s the type of thing, I actually might use that every now and then. We\'ll see if Edwin the Smart Duck is still there, and if there\'s anything that can possibly top that, but I have my doubts that that can be topped.\nHill: Alright, I\'m looking forward to hearing more when you return. Have a great time!\nKretzmann: Thanks, Chris! I appreciate it.\nHill: As always, people on the program may have interests in the stocks they talk about, and The Motley Fool may have formal recommendations for or against, so don\'t buy or sell stocks based solely on what you hear. That\'s going to do it for this edition of MarketFoolery . The show is mixed by Dan Boyd. I\'m Chris Hill. Thanks for listening! We\'ll see you tomorrow!\nChris Hill owns shares of Under Armour (A Shares), Under Armour (C Shares), and Walt Disney. David Kretzmann owns shares of Netflix, Nvidia, Skyworks Solutions, Under Armour (A Shares), Under Armour (C Shares), and Walt Disney. The Motley Fool owns shares of and recommends Ford, Netflix, Nvidia, Skyworks Solutions, Under Armour (A Shares), Under Armour (C Shares), and Walt Disney. The Motley Fool has the following options: short January 2018 $105 calls on Skyworks Solutions. The Motley Fool recommends Comcast and Intel. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Last year, you had Under Armour (NYSE: UA) (NYSE: UAA) pitching more of its connected fitness stuff, which, obviously, over the last year -- Hill: Yeah, how did that work out for them? In this pre-taped episode of the MarketFoolery podcast, Chris Hill talks with David Kretzmann from Motley Fool Supernova about what he's going to check out at this year's Consumer Electronics Show. Among other things, they also cover some of the strangest tech that's been prominently featured at previous CES shows, as well as how David and Co. decide to split up their time at such a sprawling and densely packed conference.", 'news_luhn_summary': "Last year, you had Under Armour (NYSE: UA) (NYSE: UAA) pitching more of its connected fitness stuff, which, obviously, over the last year -- Hill: Yeah, how did that work out for them? In this pre-taped episode of the MarketFoolery podcast, Chris Hill talks with David Kretzmann from Motley Fool Supernova about what he's going to check out at this year's Consumer Electronics Show. David Kretzmann owns shares of Netflix, Nvidia, Skyworks Solutions, Under Armour (A Shares), Under Armour (C Shares), and Walt Disney.", 'news_article_title': "What We're Watching at CES 2018", 'news_lexrank_summary': "Last year, you had Under Armour (NYSE: UA) (NYSE: UAA) pitching more of its connected fitness stuff, which, obviously, over the last year -- Hill: Yeah, how did that work out for them? In this pre-taped episode of the MarketFoolery podcast, Chris Hill talks with David Kretzmann from Motley Fool Supernova about what he's going to check out at this year's Consumer Electronics Show. Hill: But, you also had NVIDIA (NASDAQ: NVDA) last year.", 'news_textrank_summary': "Last year, you had Under Armour (NYSE: UA) (NYSE: UAA) pitching more of its connected fitness stuff, which, obviously, over the last year -- Hill: Yeah, how did that work out for them? In this pre-taped episode of the MarketFoolery podcast, Chris Hill talks with David Kretzmann from Motley Fool Supernova about what he's going to check out at this year's Consumer Electronics Show. You see a lot of content companies, which we'll talk about, really anything to do with tech, mobile, that whole space, content included in there, entertainment, you really have such a wide array of companies and trends and technologies that are pitched at CES, which is a lot of fun."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.43000030517578, 'high': 15.0600004196167, 'open': 14.59000015258789, 'close': 15.029999732971191, 'ema_50': 14.549758315174659, 'rsi_14': 64.97064977349757, 'target': 15.720000267028809, 'volume': 8035200.0, 'ema_200': 18.450254820891175, 'adj_close': 15.029999732971191, 'rsi_lag_1': 58.62069461632167, 'rsi_lag_2': 78.71796784160198, 'rsi_lag_3': 84.80392053740496, 'rsi_lag_4': 82.08232635619214, 'rsi_lag_5': 74.9419940248203, 'macd_lag_1': 0.4875955391616973, 'macd_lag_2': 0.5803629176290261, 'macd_lag_3': 0.5793443499892295, 'macd_lag_4': 0.5482357354191887, 'macd_lag_5': 0.5076827346894337, 'macd_12_26_9': 0.4572211025323796, 'macds_12_26_9': 0.42558244349575647}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 15.720000267028809, '2018-01-04': 15.920000076293944, '2018-01-05': 15.869999885559082, '2018-01-08': 15.979999542236328, '2018-01-09': 15.109999656677244, '2018-01-10': 15.0600004196167, '2018-01-11': 15.300000190734863, '2018-01-12': 15.119999885559082, '2018-01-16': 13.8100004196167}, '1_month_later': {'2018-02-02': 13.649999618530272}, '3_months_later': {'2018-04-02': 16.100000381469727}, '6_months_later': {'2018-07-02': 22.520000457763672}, '12_months_later': {'2019-01-02': 17.809999465942386}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
unit | {'date': '2018-01-02', 'ticker': 'unit', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.170000076293945, 'high': 17.899999618530273, 'open': 17.84000015258789, 'close': 17.209999084472656, 'ema_50': 17.139972037563613, 'rsi_14': 47.785541049130906, 'target': 17.049999237060547, 'volume': 2432900.0, 'ema_200': 20.293321851022313, 'adj_close': 10.423439979553224, 'rsi_lag_1': 59.413216958536346, 'rsi_lag_2': 65.31101886678807, 'rsi_lag_3': 78.82352888377869, 'rsi_lag_4': 70.36145408919498, 'rsi_lag_5': 69.09548533402088, 'macd_lag_1': 0.41054688857881416, 'macd_lag_2': 0.431324035804316, 'macd_lag_3': 0.4301877018686717, 'macd_lag_4': 0.36648012857201095, 'macd_lag_5': 0.32361713365471445, 'macd_12_26_9': 0.343321947522238, 'macds_12_26_9': 0.3508908902838044}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 17.049999237060547, '2018-01-04': 17.110000610351562, '2018-01-05': 17.15999984741211, '2018-01-08': 17.15999984741211, '2018-01-09': 17.020000457763672, '2018-01-10': 16.549999237060547, '2018-01-11': 16.690000534057617, '2018-01-12': 16.3799991607666, '2018-01-16': 16.399999618530273}, '1_month_later': {'2018-02-02': 15.100000381469728}, '3_months_later': {'2018-04-02': 15.84000015258789}, '6_months_later': {'2018-07-02': 20.15999984741211}, '12_months_later': {'2019-01-02': 16.280000686645508}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UNM | {'date': '2018-01-02', 'ticker': 'UNM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 54.59999847412109, 'high': 55.58000183105469, 'open': 55.43999862670898, 'close': 54.86000061035156, 'ema_50': 54.071873997258365, 'rsi_14': 29.330252210409142, 'target': 55.2599983215332, 'volume': 1744600.0, 'ema_200': 49.78363077757819, 'adj_close': 50.3166389465332, 'rsi_lag_1': 24.70816470872876, 'rsi_lag_2': 35.241499509344294, 'rsi_lag_3': 35.929215489681766, 'rsi_lag_4': 34.81990785846506, 'rsi_lag_5': 32.273466890090106, 'macd_lag_1': 0.11765662870354987, 'macd_lag_2': 0.13100058071125176, 'macd_lag_3': 0.1206723073725513, 'macd_lag_4': 0.14544347005902836, 'macd_lag_5': 0.17494493995979354, 'macd_12_26_9': 0.10346808415300046, 'macds_12_26_9': 0.22872365206209141}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 55.2599983215332, '2018-01-04': 55.75, '2018-01-05': 55.9900016784668, '2018-01-08': 56.47000122070313, '2018-01-09': 56.959999084472656, '2018-01-10': 57.52000045776367, '2018-01-11': 58.22000122070313, '2018-01-12': 58.59000015258789, '2018-01-16': 55.540000915527344}, '1_month_later': {'2018-02-02': 52.709999084472656}, '3_months_later': {'2018-04-02': 46.68000030517578}, '6_months_later': {'2018-07-02': 37.59000015258789}, '12_months_later': {'2019-01-02': 30.04999923706055}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UNP | {'date': '2018-01-02', 'ticker': 'UNP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 134.17999267578122, 'high': 135.77999877929688, 'open': 134.71000671386722, 'close': 135.77999877929688, 'ema_50': 124.97262175179522, 'rsi_14': 70.86174847104556, 'target': 136.53999328613278, 'volume': 4298000.0, 'ema_200': 113.56732422333175, 'adj_close': 128.58760070800778, 'rsi_lag_1': 67.19506334345309, 'rsi_lag_2': 73.55017217396713, 'rsi_lag_3': 81.11528726804059, 'rsi_lag_4': 78.04058277326337, 'rsi_lag_5': 65.98689277391068, 'macd_lag_1': 3.7715307290628175, 'macd_lag_2': 3.968013177007151, 'macd_lag_3': 4.057226246598503, 'macd_lag_4': 3.9898973034831897, 'macd_lag_5': 4.015963949771034, 'macd_12_26_9': 3.7086275918005356, 'macds_12_26_9': 3.8313450479640614}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 136.53999328613278, '2018-01-04': 135.80000305175778, '2018-01-05': 137.52999877929688, '2018-01-08': 139.44000244140622, '2018-01-09': 141.0, '2018-01-10': 139.69999694824222, '2018-01-11': 140.35000610351562, '2018-01-12': 141.1699981689453, '2018-01-16': 140.30999755859378}, '1_month_later': {'2018-02-02': 129.36000061035156}, '3_months_later': {'2018-04-02': 133.10000610351562}, '6_months_later': {'2018-07-02': 143.07000732421875}, '12_months_later': {'2019-01-02': 137.77999877929688}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VAL | {'date': '2018-01-02', 'ticker': 'VAL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.31999969482422, 'high': 24.79999923706055, 'open': 23.84000015258789, 'close': 24.68000030517578, 'ema_50': 22.237730209480418, 'rsi_14': 63.6363660993658, 'target': 26.440000534057614, 'volume': 2919800.0, 'ema_200': 25.03795422011095, 'adj_close': 24.44979286193848, 'rsi_lag_1': 59.23566937016179, 'rsi_lag_2': 58.709678411732035, 'rsi_lag_3': 57.96178498709805, 'rsi_lag_4': 50.27624949813525, 'rsi_lag_5': 46.42855825066496, 'macd_lag_1': 0.3014403874803371, 'macd_lag_2': 0.22715955940179455, 'macd_lag_3': 0.14940959235949336, 'macd_lag_4': 0.0479991312639072, 'macd_lag_5': -0.0821356628073886, 'macd_12_26_9': 0.4391654353619465, 'macds_12_26_9': 0.1527042500215377}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 26.440000534057614, '2018-01-04': 27.28000068664551, '2018-01-05': 26.84000015258789, '2018-01-08': 28.31999969482422, '2018-01-09': 28.20000076293945, '2018-01-10': 28.479999542236328, '2018-01-11': 29.440000534057614, '2018-01-12': 29.71999931335449, '2018-01-16': 27.8799991607666}, '1_month_later': {'2018-02-02': 22.520000457763672}, '3_months_later': {'2018-04-02': 17.360000610351562}, '6_months_later': {'2018-07-02': 27.68000030517578}, '12_months_later': {'2019-01-02': 14.920000076293944}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VAC | {'date': '2018-01-02', 'ticker': 'VAC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 134.14999389648438, 'high': 136.36000061035156, 'open': 135.75999450683594, 'close': 136.30000305175778, 'ema_50': 132.17219532605367, 'rsi_14': 55.550788316718396, 'target': 137.28999328613278, 'volume': 193800.0, 'ema_200': 118.11041365473017, 'adj_close': 131.08279418945312, 'rsi_lag_1': 50.2966089914389, 'rsi_lag_2': 55.867926044249785, 'rsi_lag_3': 57.98639672733234, 'rsi_lag_4': 55.68995114041035, 'rsi_lag_5': 56.52747521033642, 'macd_lag_1': 0.7645424133065148, 'macd_lag_2': 0.7643264631585112, 'macd_lag_3': 0.5655882747384169, 'macd_lag_4': 0.30879055915593767, 'macd_lag_5': 0.10889574113096501, 'macd_12_26_9': 0.8429501457806339, 'macds_12_26_9': 0.5054027235826454}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 137.28999328613278, '2018-01-04': 135.6300048828125, '2018-01-05': 134.27999877929688, '2018-01-08': 136.16000366210938, '2018-01-09': 135.33999633789062, '2018-01-10': 134.99000549316406, '2018-01-11': 136.33000183105472, '2018-01-12': 136.80000305175778, '2018-01-16': 135.80999755859378}, '1_month_later': {'2018-02-02': 145.60000610351562}, '3_months_later': {'2018-04-02': 131.00999450683594}, '6_months_later': {'2018-07-02': 113.61000061035156}, '12_months_later': {'2019-01-02': 69.98000335693361}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
V | {'date': '2018-01-02', 'ticker': 'V', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/notable-etf-inflow-detected-xlk-v-ibm-avgo-2018-01-02', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Technology Select Sector SPDR Fund (Symbol: XLK) where we have detected an approximate $357.8 million dollar inflow -- that's a 1.9% increase week over week in outstanding units (from 298,605,897 to 304,205,897). Among the largest underlying components of XLK, in trading today Visa Inc (Symbol: V) is up about 0.5%, International Business Machines Corp (Symbol: IBM) is up about 0.7%, and Broadcom Ltd (Symbol: AVGO) is up by about 2.5%. For a complete list of holdings, visit the XLK Holdings page » The chart below shows the one year price performance of XLK, versus its 200 day moving average:\nLooking at the chart above, XLK's low point in its 52 week range is $48.21 per share, with $65.20 as the 52 week high point - that compares with a last trade of $64.55. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average » .\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs had notable inflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Technology Select Sector SPDR Fund (Symbol: XLK) where we have detected an approximate $357.8 million dollar inflow -- that's a 1.9% increase week over week in outstanding units (from 298,605,897 to 304,205,897). These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.", 'news_luhn_summary': "For a complete list of holdings, visit the XLK Holdings page » The chart below shows the one year price performance of XLK, versus its 200 day moving average: Looking at the chart above, XLK's low point in its 52 week range is $48.21 per share, with $65.20 as the 52 week high point - that compares with a last trade of $64.55. Exchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. Click here to find out which 9 other ETFs had notable inflows » The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_article_title': 'Notable ETF Inflow Detected - XLK, V, IBM, AVGO', 'news_lexrank_summary': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Technology Select Sector SPDR Fund (Symbol: XLK) where we have detected an approximate $357.8 million dollar inflow -- that's a 1.9% increase week over week in outstanding units (from 298,605,897 to 304,205,897). For a complete list of holdings, visit the XLK Holdings page » The chart below shows the one year price performance of XLK, versus its 200 day moving average: Looking at the chart above, XLK's low point in its 52 week range is $48.21 per share, with $65.20 as the 52 week high point - that compares with a last trade of $64.55. Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.", 'news_textrank_summary': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Technology Select Sector SPDR Fund (Symbol: XLK) where we have detected an approximate $357.8 million dollar inflow -- that's a 1.9% increase week over week in outstanding units (from 298,605,897 to 304,205,897). For a complete list of holdings, visit the XLK Holdings page » The chart below shows the one year price performance of XLK, versus its 200 day moving average: Looking at the chart above, XLK's low point in its 52 week range is $48.21 per share, with $65.20 as the 52 week high point - that compares with a last trade of $64.55. Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs."}, {'news_url': 'https://www.nasdaq.com/articles/best-2018-new-years-resolution-you-can-make-2018-01-02', 'news_author': None, 'news_article': "There's no better time than the beginning of the year to make important changes to your finances. You can find plenty of ambitious ways to make your money life a little more comfortable . Yet when it comes right down to it, there's one single resolution that you can make to avoid falling into a downward spiral and start working toward your long-term financial goals.\nIt's not building an emergency fund , as valuable as that can be. Nor is it cutting back on unnecessary spending, although that can play a major part in it. No, the one thing you can do that will make a bigger difference than just about anything else out there is to use your credit cards in a way that they're working for you rather than against you -- and then starting to invest in the companies that have command of the lucrative credit card industry.\nDigging yourself into debt\nThere's nothing about credit cards that automatically makes them bad. Used correctly, credit cards can allow you to aggregate your purchases conveniently and pay them off with a single monthly payment. The right cards even pay lucrative rewards for using them, offering you money and other valuable benefits that let you share in the money that the credit card issuers make from their business. Many of these cards don't even charge an annual fee, making them essentially free for you to use for your benefit.\nBut the big problem that many people fall into with credit cards is forgetting that there's no difference between buying things with cash and using a card to purchase them. At the end of the day, you still have to pay the bill. It's the illusion of choice that credit cards give you that gets people into trouble. In reality, with interest rates that are often almost usuriously high, cardholders really don't have a viable choice other than paying off their balances in full every month to avoid exorbitant finance charges . What happens all too often is that people not only can't pay their balances off in full but also choose to make minimum payments, and that's when a vicious circle begins that eventually makes them unable to repay their debt at all.\nHow to make money on credit cards\nCredit card rewards are great, but the best benefits come from looking at who's on the other side of the credit card transaction. Just as you can always win at gambling by betting on the house, major players in the credit card industry have produced amazing returns over time.\nStart with the card networks that are behind the majority of transaction in the U.S. market. Visa (NYSE: V) and Mastercard (NYSE: MA) both gained almost 50% in 2017, and over the past decade, their prices have gone up more than 700% and 600%, respectively. Add to that some modest dividend income, and total returns have been well above the average stock even in the nearly decade-long bull market.\nBanks that issue credit cards have also done extremely well lately. Bank of America (NYSE: BAC) , Citigroup (NYSE: C) , and JPMorgan Chase (NYSE: JPM) all gained between 20% and 35% in 2017, rising on the back of more favorable conditions that included rising interest rate spreads for key banking business lines. B of A and JPMorgan have seen gains in the 150% to 160% over the past five years, while even lagging Citigroup has managed to pick up 90% since the beginning of 2013 -- again, not including dividends.\nWhat to do in 2018\nWith those ideas in mind, here's what to consider as 2018 begins:\nIf you're carrying a balance on your credit cards, your first resolution should be to pay them down as soon as possible. You won't find a better return on investment than avoiding the interest rates on most credit cards, many of which can exceed 20%.\nIf you're fortunate enough never to have gotten into credit card debt, then make sure that credit cards are doing the most they can for you. That includes finding the reward cards that can pay you the most for the spending you'll need to do anyway.\nFinally, look at ways to invest some of your money in the businesses that profit from credit cards. By doing so, you'll be on the moneymaking side of the credit card business rather than the financially dangerous side.\nGetting on the path toward financial security by using credit cards correctly should be your top priority for 2018. Doing so will not only help you avoid making big mistakes but will get you closer to your long-term goals -- and do so more quickly.\n5 Simple Tips to Skyrocket Your Credit Score Over 800!\nIncreasing your credit score above 800 will put you in rare company. So rare that only 1 in 9 Americans can claim they're members of this elite club. But contrary to popular belief, racking up a high credit score is a lot easier than you may have imagined following 5 simple, disciplined strategies. You'll find a full rundown of each inside our FREE credit score guide . It's time to put your financial future first and secure a lifetime of savings by increasing your credit score. Simply click here to claim a copy 5 Simple Tips to Skyrocket Your Credit Score over 800 .\nDan Caplinger has no position in any of the stocks mentioned. The Motley Fool owns shares of and recommends Mastercard and Visa. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "In reality, with interest rates that are often almost usuriously high, cardholders really don't have a viable choice other than paying off their balances in full every month to avoid exorbitant finance charges . Just as you can always win at gambling by betting on the house, major players in the credit card industry have produced amazing returns over time. But contrary to popular belief, racking up a high credit score is a lot easier than you may have imagined following 5 simple, disciplined strategies.", 'news_luhn_summary': "In reality, with interest rates that are often almost usuriously high, cardholders really don't have a viable choice other than paying off their balances in full every month to avoid exorbitant finance charges . You won't find a better return on investment than avoiding the interest rates on most credit cards, many of which can exceed 20%. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_article_title': "The Best 2018 New Year's Resolution You Can Make", 'news_lexrank_summary': "No, the one thing you can do that will make a bigger difference than just about anything else out there is to use your credit cards in a way that they're working for you rather than against you -- and then starting to invest in the companies that have command of the lucrative credit card industry. The right cards even pay lucrative rewards for using them, offering you money and other valuable benefits that let you share in the money that the credit card issuers make from their business. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_textrank_summary': "No, the one thing you can do that will make a bigger difference than just about anything else out there is to use your credit cards in a way that they're working for you rather than against you -- and then starting to invest in the companies that have command of the lucrative credit card industry. If you're fortunate enough never to have gotten into credit card debt, then make sure that credit cards are doing the most they can for you. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc."}, {'news_url': 'https://www.nasdaq.com/articles/should-you-buy-dip-square-inc-stock-3-pros-3-cons-2018-01-02', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nSquare Inc (NYSE: SQ ) has finally rounded the corner. The company went public in late 2015 around $12 per share. SQ stock then proceeded to do absolutely nothing for the next year, fluctuating between the high single digits and $15/share.\nThat all changed in 2017 though. Square CEO Jack Dorsey - also the embattled co-founder of Twitter Inc (NYSE: TWTR ) - found his Wall Street redemption. SQ stock launched as high as $48 over this past year. The company shook off major client losses and posted huge revenue gains. The push into merchant lending appears to be going well. A bitcoin offering accelerated the company\'s stock price gains.\nNow, SQ stock has dropped 30% off its recent highs. Is the party over? Or is it time to buy the dip?\nSQ Stock Cons\nCan It Scale? : Square\'s recent transaction growth is highly encouraging. It is helping to reverse some serious negative sentiment about the viability of Square\'s business model. Don\'t forget, investors left the company for dead in 2016, with shares trading as low as $10.\n7 \'Grade-A\' Financial Stocks for 2018 and Beyond\nStarbucksCorporation (NASDAQ: SBUX ) abandoned its partnership with Square. It became clear that Starbucks needed a more sophisticated offering, and it also demanded lower transaction fees. Square has gone back to its roots, focusing more on smaller retailers. However, like PayPal Holdings Inc (NASDAQ: PYPL ) in its early days, Square eventually needs to prove it can handle larger customers effectively.\nWhere\'s The Moat? : Square has a big issue in the longer run. What can it do differently to protect its business from new competitors? Hardware can be easily copied. And if Square\'s growth continues strongly, it will serve as a beacon to attract competitors willing to undercut them on processing costs.\nVisa Inc (NYSE: V ) and Mastercard Inc (NYSE: MA ) have dominated the payments sector for years. Whether the competitors are other cards such as Discover Financial Services (NYSE: DFS ) or other payment technologies, few have taken serious market share. Sure, the occasional PayPal can succeed, but countless other innovators have been snuffed out along the way.\nSquare is making moves into other markets. Caviar , for example, delivers food. It could have success, but the market is already crowded. Square is also moving aggressively into small-business lending by offering funds for its merchants. This is potentially high-margin, but comes with risk, and puts them in competition with leading global financial institutions.\nAt this point, it\'s still not clear what Square\'s lasting edge will be.\nBitcoin Integration : Square recently decided to start allowing its customers to start buying bitcoins.\nThis is potentially a positive - see below.\nBut it also comes with risk. Square is an alternative payments solution. Cryptocurrencies are alternative means of making payments. It\'s unclear what function Square would serve in a world where merchants start accepting bitcoins and other such cryptos in mass. Square, as a middleman, is promoting a service that could ultimately replace it. To be clear, there are serious roadblocks to widespread merchant adoption of cryptocurrencies. Due to the volatility of cryptocurrency prices, it is unlikely that widespread acceptance would happen any time soon. That said, it seems to be courting trouble for Square to promote crypto-adoption in retail seriously.\nSQ Stock Pros\nBitcoin Integration : Yes, this is both a plus and a minus for SQ stock. How does that work? While there are clearly risks to integrating with a potential rival like bitcoin, for now, it brings Square some real positives as well.\nPaul Condra of Credit Suissesaid it well: "Given Square\'s tendency to move judiciously into new technologies, we expect it will do the same with bitcoin purchases […] The upside could be significant if cryptocurrencies become more mainstream." So far, few mainstream trustworthy companies have enabled people to buy bitcoins easily. There\'s big upside for SQ stock if it can supplant sketchy bitcoin exchanges for a decent chunk of the crypto market.\nInvestors clearly cheered the move. SQ stock was trading around $40 when they announced bitcoin integration. Shares rallied hard on the news, hitting their all-time high of $49 just a week later.\nAnalyst Enthusiasm : SQ stock is picking up a lot of institutional support in addition to the Credit Suisse comments above. Ramsey Al-Assel, of Jeffries , declared earlier in the month that Square\'s bitcoin service should appeal to consumers. He continues to view SQ stock as a buy. Keybanc\'s Josh Beck is also bullish on the stock. He lifted his price target earlier this quarter, and reported that Keybanc research found that 80% of large merchants on the platform plan on sticking with Square, even though the majority were offered lower payment processing rates elsewhere.\nDan Dolev, of Nomura , went farther yet. He is highly bullish on Square\'s continued move into credit. He views Square as a "major disruptor" that can shake up lending to merchants. In his view, banks have not adequately serviced this niche, and Dolev potentially sees Square obtaining a banking license and taking more market share in this field. He recently raised his price target on SQ stock and is now looking for $48/share.\nBig Quarter : SQ stock appeared stuck in a real funk after Starbucks pulled out of Square\'s platform. And yet, the company keeps delivering within its key small merchants market.\nPayment volume for the most recent quarter rose 31%, while adjusted revenues surged almost 50%. Adjusted EBITDA almost tripled versus the same point last year. Square appears to be hitting the level of scale where incremental revenues start turning into real profits and cash flow quickly. The company also raised revenue and profit margin guidance for the year.\nVerdict\nSquare, the business, had a good year. SQ stock, on the other hand, knocked it out of the park. Unfortunately for SQ stock bulls, you\'re likely to see more correction ahead as fundamentals still need to catch up with the stock\'s recent huge run.\nApple Inc\'s Best Years Are Behind It -- Prepare for AAPL Stock\'s Decline\nThere\'s potentially more long-term upside in SQ stock, but in 2018, look for the real risks to Square to outweigh investors\' optimism on bitcoin integration and other such factors.\nAt the time of this writing, the author owned DFS stock and had no positions in any of the other aforementioned securities. You can reach him on Twitter at @irbezek.\nMore From InvestorPlace\n8 Bitcoin Stocks That You Won\'t Lose Your Shirt Over\nThe Recent Bitcoin Price Stumble Starts the Next Stage of The Boom-Bust Cycle\n5 Bitcoin Stocks to Buy for Low-Risk Cryptocurrency Profits\nCompare Brokers\nThe post Should You Buy the Dip in Square Inc Stock? 3 Pros, 3 Cons appeared first on InvestorPlace .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'However, like PayPal Holdings Inc (NASDAQ: PYPL ) in its early days, Square eventually needs to prove it can handle larger customers effectively. Paul Condra of Credit Suissesaid it well: "Given Square\'s tendency to move judiciously into new technologies, we expect it will do the same with bitcoin purchases […] The upside could be significant if cryptocurrencies become more mainstream." He lifted his price target earlier this quarter, and reported that Keybanc research found that 80% of large merchants on the platform plan on sticking with Square, even though the majority were offered lower payment processing rates elsewhere.', 'news_luhn_summary': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips Square Inc (NYSE: SQ ) has finally rounded the corner. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. SQ stock launched as high as $48 over this past year.', 'news_article_title': 'Should You Buy the Dip in Square Inc Stock? 3 Pros, 3 Cons', 'news_lexrank_summary': "He continues to view SQ stock as a buy. He is highly bullish on Square's continued move into credit. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_textrank_summary': "InvestorPlace - Stock Market News, Stock Advice & Trading Tips Square Inc (NYSE: SQ ) has finally rounded the corner. Apple Inc's Best Years Are Behind It -- Prepare for AAPL Stock's Decline There's potentially more long-term upside in SQ stock, but in 2018, look for the real risks to Square to outweigh investors' optimism on bitcoin integration and other such factors. More From InvestorPlace 8 Bitcoin Stocks That You Won't Lose Your Shirt Over The Recent Bitcoin Price Stumble Starts the Next Stage of The Boom-Bust Cycle 5 Bitcoin Stocks to Buy for Low-Risk Cryptocurrency Profits Compare Brokers The post Should You Buy the Dip in Square Inc Stock?"}, {'news_url': 'https://www.nasdaq.com/articles/better-buy-visa-inc-vs-square-2018-01-02', 'news_author': None, 'news_article': "From a distance, Visa (NYSE: V) and Square (NYSE: SQ) may seem like completely different companies, but they are more similar than you might think. Both are big beneficiaries of the trend toward a cashless society, have phenomenal international opportunities, and are leaders in the financial technology, or fintech, space.\nHere's a rundown of the growth opportunities these companies have, how they did in 2017, the difference in risk, and which could be the better buy now.\nSquare has a massive market opportunity\nSquare's core business is producing affordable payment processing solutions, primarily for small businesses. In simple terms, the idea is that traditional card-processing hardware is prohibitively expensive or bulky for smaller merchants, so Square's solutions are designed to be an inexpensive and often portable way to accept cards.\nThe company is only in five countries around the world so far, and it's estimated that two-thirds of businesses around the world don't accept cards yet, so this is a big growth opportunity . Worldwide card payment volume is estimated to reach $45 trillion to $55 trillion annually by 2025, and if Square can capture, say, just 5% of this, it would be about 35 times its current payment volume.\nIn addition, Square has several other businesses that are creating a financial ecosystem for small businesses. Its Square Capital business lending platform is growing rapidly, and its Caviar food-delivery platform and Instant Deposit service are also doing very well.\nVisa has more room to grow than you may think\nIt may seem as if Visa is a mature company -- that is, there's limited room to grow. After all, there are more Visa cards in existence than Mastercard , American Express , and Discover cards combined .\nHowever, there's still a lot of potential for Visa , particularly internationally. Over the past year, its international transaction revenue has grown by 45% on especially strong results from the Visa Europe segment. Longer term, there's still tremendous opportunity in Asia and the Middle East, regions where credit cards still aren't widely accepted. In fact, China just recently opened access to U.S. credit card networks, so this is definitely a development to watch over the next few years.\nAlso, Visa has the opportunity to capitalize on advances in fintech, such as through its partnership with PayPal. Visa is also a major investor in Square, acquiring a stake in the company before it went public.\n2017 was a great year for both companies\nBoth companies have produced some pretty impressive growth recently. Square's gross payment volume grew by 31% over the past year, and adjusted revenue soared by 45%. Its subscription and service-based revenue grew by an even more impressive 84%, and Square Capital is making business loans at a $1.2 billion annualized rate.\nVisa's numbers tell a similar story. Revenue and adjusted net profit both grew by 26% over the past year, and I already mentioned the company's strong international growth. And its payment volume growth of 38% was even more impressive than Square's. Visa also sees its earnings per share growing by a double-digit percentage in 2018.\nStrong performance but different types of investments\nAs a result, Visa was one of the best-performing stocks in the financial sector, up 45% in 2017. Square, on the other hand, delivered phenomenal returns for shareholders. Even after a nasty recent pullback, it's up nearly 160%.\nHere's the main reason for the difference, which pretty much sums up the key difference between these companies from an investment standpoint: Visa is a long-established company that has been doing very well, and has been doing even better. Meanwhile, Square has gone from being just another fintech company to being the payment-processing solution for small business. My wife and I go to an artisan market every Saturday, and I'd conservatively say that 80% of the vendors use Square card readers to accept payments.\nIn a nutshell, these are two companies in completely different stages of maturity, and therefore with two different risk/reward profiles. Visa is unlikely to double in a year, but is also unlikely to get cut in half, while either scenario is quite plausible for Square at this point.\nWhich is the better buy now?\nIt's tough to call a winner, simply because both of these companies are high-potential stocks with lots of positive momentum.\nVisa's international potential makes it an intriguing investment, but shares are trading at their 52-week high and at a P/E of 41, rather high for such a large company, even given its growth rate. Square has the larger market opportunity of the two, but is yet to establish a track record of profitability. However, the stock has pulled back about 30% over the past month or so, giving back all of its post-earnings gains and more after a key analyst downgrade.\nTo be clear, I don't think investors will go wrong with either stock, but of the two, I'd be a buyer of Square on the dip.\n10 stocks we like better than Visa\nWhen investing geniuses David and Tom Gardner have a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor , has tripled the market.*\nDavid and Tom just revealed what they believe are the 10 best stocks for investors to buy right now... and Visa wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of December 4, 2017\nMatthew Frankel owns shares of American Express and Square. The Motley Fool owns shares of and recommends Mastercard and Visa. The Motley Fool owns shares of Square. The Motley Fool recommends American Express. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "In simple terms, the idea is that traditional card-processing hardware is prohibitively expensive or bulky for smaller merchants, so Square's solutions are designed to be an inexpensive and often portable way to accept cards. Its subscription and service-based revenue grew by an even more impressive 84%, and Square Capital is making business loans at a $1.2 billion annualized rate. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_luhn_summary': "Square has a massive market opportunity Square's core business is producing affordable payment processing solutions, primarily for small businesses. 2017 was a great year for both companies Both companies have produced some pretty impressive growth recently. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_article_title': 'Better Buy: Visa Inc. vs. Square', 'news_lexrank_summary': "Square has a massive market opportunity Square's core business is producing affordable payment processing solutions, primarily for small businesses. Revenue and adjusted net profit both grew by 26% over the past year, and I already mentioned the company's strong international growth. That's right -- they think these 10 stocks are even better buys.", 'news_textrank_summary': "From a distance, Visa (NYSE: V) and Square (NYSE: SQ) may seem like completely different companies, but they are more similar than you might think. Square has a massive market opportunity Square's core business is producing affordable payment processing solutions, primarily for small businesses. Visa has more room to grow than you may think It may seem as if Visa is a mature company -- that is, there's limited room to grow."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 113.9499969482422, 'high': 115.08000183105467, 'open': 114.56999969482422, 'close': 114.51000213623048, 'ema_50': 111.09410438979599, 'rsi_14': 64.69780047033979, 'target': 115.6500015258789, 'volume': 6080900.0, 'ema_200': 102.09674434112172, 'adj_close': 112.67469787597656, 'rsi_lag_1': 60.11396290065264, 'rsi_lag_2': 68.6945683243149, 'rsi_lag_3': 73.2104408671377, 'rsi_lag_4': 73.58290882000412, 'rsi_lag_5': 75.78435119785378, 'macd_lag_1': 0.8068993464356851, 'macd_lag_2': 0.7811328716566237, 'macd_lag_3': 0.7032833610980447, 'macd_lag_4': 0.6272896869855913, 'macd_lag_5': 0.6260425141088746, 'macd_12_26_9': 0.8569800785926418, 'macds_12_26_9': 0.73731821531635}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 115.6500015258789, '2018-01-04': 116.08000183105467, '2018-01-05': 118.86000061035156, '2018-01-08': 119.33999633789062, '2018-01-09': 119.11000061035156, '2018-01-10': 118.9800033569336, '2018-01-11': 119.83999633789062, '2018-01-12': 120.08999633789062, '2018-01-16': 120.38999938964844}, '1_month_later': {'2018-02-02': 120.91000366210938}, '3_months_later': {'2018-04-02': 118.38999938964844}, '6_months_later': {'2018-07-02': 132.5}, '12_months_later': {'2019-01-02': 132.91999816894528}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UZB | {'date': '2018-01-02', 'ticker': 'UZB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.40999984741211, 'high': 25.73500061035156, 'open': 25.690000534057614, 'close': 25.57999992370605, 'ema_50': 25.996635711052548, 'rsi_14': 38.51344559258288, 'target': 25.64999961853028, 'volume': 17400.0, 'ema_200': 26.271744345118137, 'adj_close': 21.46183013916016, 'rsi_lag_1': 37.99991861937732, 'rsi_lag_2': 42.957807018015586, 'rsi_lag_3': 44.52050678420948, 'rsi_lag_4': 35.58277614085068, 'rsi_lag_5': 47.7741236699209, 'macd_lag_1': -0.07894277097583924, 'macd_lag_2': -0.07730223011229143, 'macd_lag_3': -0.08019313807082185, 'macd_lag_4': -0.08068013197545909, 'macd_lag_5': -0.07656456326668604, 'macd_12_26_9': -0.09049650477563631, 'macds_12_26_9': -0.08519813333224485}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 25.64999961853028, '2018-01-04': 25.51000022888184, '2018-01-05': 25.6200008392334, '2018-01-08': 25.770000457763672, '2018-01-09': 25.790000915527344, '2018-01-10': 25.79999923706055, '2018-01-11': 25.89999961853028, '2018-01-12': 25.8799991607666, '2018-01-16': 25.75300025939941}, '1_month_later': {'2018-02-02': 24.54999923706055}, '3_months_later': {'2018-04-02': 25.70000076293945}, '6_months_later': {'2018-07-02': 25.709999084472656}, '12_months_later': {'2019-01-02': 23.89999961853028}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UZA | {'date': '2018-01-02', 'ticker': 'UZA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.040000915527344, 'high': 25.190000534057614, 'open': 25.14999961853028, 'close': 25.04999923706055, 'ema_50': 25.343676055244522, 'rsi_14': 32.8767463309738, 'target': 25.059999465942383, 'volume': 23700.0, 'ema_200': 25.55474636060411, 'adj_close': 21.08684158325196, 'rsi_lag_1': 36.92310175240908, 'rsi_lag_2': 27.731144965980135, 'rsi_lag_3': 37.209371095684965, 'rsi_lag_4': 36.641279168808104, 'rsi_lag_5': 37.20937109568476, 'macd_lag_1': -0.062120108859179624, 'macd_lag_2': -0.07072828863612202, 'macd_lag_3': -0.06541399273909576, 'macd_lag_4': -0.06277037385502382, 'macd_lag_5': -0.06153774659082245, 'macd_12_26_9': -0.06982462475523832, 'macds_12_26_9': -0.05913321761270159}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 25.059999465942383, '2018-01-04': 25.04999923706055, '2018-01-05': 25.020000457763672, '2018-01-08': 25.03000068664551, '2018-01-09': 25.01000022888184, '2018-01-10': 25.07999992370605, '2018-01-11': 25.09000015258789, '2018-01-12': 25.15999984741211, '2018-01-16': 25.1200008392334}, '1_month_later': {'2018-02-02': 24.270000457763672}, '3_months_later': {'2018-04-02': 25.459999084472656}, '6_months_later': {'2018-07-02': 25.239999771118164}, '12_months_later': {'2019-01-02': 22.96999931335449}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UYM | {'date': '2018-01-02', 'ticker': 'UYM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 74.52999877929688, 'high': 75.80000305175781, 'open': 74.52999877929688, 'close': 75.80000305175781, 'ema_50': 70.25805893197068, 'rsi_14': 79.35834689218154, 'target': 77.13999938964844, 'volume': 51400.0, 'ema_200': 62.75589094660203, 'adj_close': 73.69717407226562, 'rsi_lag_1': 75.78423995971835, 'rsi_lag_2': 77.8350966506311, 'rsi_lag_3': 78.86983621154255, 'rsi_lag_4': 70.40815532132969, 'rsi_lag_5': 64.29321814406697, 'macd_lag_1': 1.2553803371199592, 'macd_lag_2': 1.2314238313321226, 'macd_lag_3': 1.1574804536708285, 'macd_lag_4': 1.098193226182289, 'macd_lag_5': 1.0279291702260167, 'macd_12_26_9': 1.3994444902344014, 'macds_12_26_9': 1.0857872065993728}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 77.13999938964844, '2018-01-04': 78.54000091552734, '2018-01-05': 79.93000030517578, '2018-01-08': 79.95999908447266, '2018-01-09': 79.16000366210938, '2018-01-10': 78.9000015258789, '2018-01-11': 81.26000213623047, '2018-01-12': 81.2699966430664, '2018-01-16': 79.18000030517578}, '1_month_later': {'2018-02-02': 72.97000122070312}, '3_months_later': {'2018-04-02': 61.72000122070313}, '6_months_later': {'2018-07-02': 67.30000305175781}, '12_months_later': {'2019-01-02': 48.15999984741211}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
uyg | {'date': '2018-01-02', 'ticker': 'uyg', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 42.220001220703125, 'high': 43.30666732788086, 'open': 43.08000183105469, 'close': 42.459999084472656, 'ema_50': 40.91262367424381, 'rsi_14': 49.94522381773695, 'target': 42.77999877929688, 'volume': 242100.0, 'ema_200': 36.538537045554634, 'adj_close': 38.51862716674805, 'rsi_lag_1': 50.61043609473318, 'rsi_lag_2': 57.5152683045105, 'rsi_lag_3': 56.917883164697116, 'rsi_lag_4': 54.88555910543132, 'rsi_lag_5': 53.04911075194374, 'macd_lag_1': 0.652581574417745, 'macd_lag_2': 0.700280352422709, 'macd_lag_3': 0.7088905366810181, 'macd_lag_4': 0.7485996119779301, 'macd_lag_5': 0.7982363064696116, 'macd_12_26_9': 0.5931489474506577, 'macds_12_26_9': 0.7253757709578127}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 42.77999877929688, '2018-01-04': 43.209999084472656, '2018-01-05': 43.573333740234375, '2018-01-08': 43.619998931884766, '2018-01-09': 43.869998931884766, '2018-01-10': 44.15999984741211, '2018-01-11': 44.54333114624024, '2018-01-12': 45.04999923706055, '2018-01-16': 44.81666564941406}, '1_month_later': {'2018-02-02': 45.16999816894531}, '3_months_later': {'2018-04-02': 39.34333419799805}, '6_months_later': {'2018-07-02': 40.66999816894531}, '12_months_later': {'2019-01-02': 32.689998626708984}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UVXY | {'date': '2018-01-02', 'ticker': 'UVXY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.09999847412109, 'high': 50.9000015258789, 'open': 50.29999923706055, 'close': 47.25, 'ema_50': 69.6740436856518, 'rsi_14': 21.806854619147046, 'target': 45.25, 'volume': 4275500.0, 'ema_200': 12688.226010605766, 'adj_close': 47.25, 'rsi_lag_1': 21.53846153846156, 'rsi_lag_2': 9.042555781822117, 'rsi_lag_3': 7.870373068522767, 'rsi_lag_4': 5.399067423063144, 'rsi_lag_5': 5.263164326840467, 'macd_lag_1': -6.119521617828575, 'macd_lag_2': -6.449200941586469, 'macd_lag_3': -6.592912433350044, 'macd_lag_4': -6.838261751580248, 'macd_lag_5': -6.995951151779465, 'macd_12_26_9': -6.094621555529315, 'macds_12_26_9': -6.427164188410528}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 45.25, '2018-01-04': 45.0, '2018-01-05': 44.95000076293945, '2018-01-08': 43.84999847412109, '2018-01-09': 44.79999923706055, '2018-01-10': 43.900001525878906, '2018-01-11': 43.34999847412109, '2018-01-12': 43.34999847412109, '2018-01-16': 48.75}, '1_month_later': {'2018-02-02': 68.80000305175781}, '3_months_later': {'2018-04-02': 105.9000015258789}, '6_months_later': {'2018-07-02': 61.84999847412109}, '12_months_later': {'2019-01-02': 77.91999816894531}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VALE | {'date': '2018-01-02', 'ticker': 'VALE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/news/18/01/10972336/benzinga-pros-4-stocks-to-watch-today', 'news_author': None, 'news_article': None, 'news_publisher': 'Jayson Derrick', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Benzinga Pro's 4 Stocks To Watch Today", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.510000228881836, 'high': 12.800000190734863, 'open': 12.550000190734863, 'close': 12.770000457763672, 'ema_50': 11.04768559712311, 'rsi_14': 85.60884868678029, 'target': 12.850000381469728, 'volume': 19189400.0, 'ema_200': 9.883483312713668, 'adj_close': 11.989473342895508, 'rsi_lag_1': 82.5111992558775, 'rsi_lag_2': 82.43242662725949, 'rsi_lag_3': 71.61570688477613, 'rsi_lag_4': 72.24669659046789, 'rsi_lag_5': 62.71186920117665, 'macd_lag_1': 0.41564826305612534, 'macd_lag_2': 0.40280370097024587, 'macd_lag_3': 0.3856412374854141, 'macd_lag_4': 0.37747187501448565, 'macd_lag_5': 0.35239064592425073, 'macd_12_26_9': 0.4640519301676864, 'macds_12_26_9': 0.36776360980895906}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 12.850000381469728, '2018-01-04': 12.829999923706056, '2018-01-05': 13.09000015258789, '2018-01-08': 13.31999969482422, '2018-01-09': 13.239999771118164, '2018-01-10': 13.149999618530272, '2018-01-11': 13.449999809265137, '2018-01-12': 13.529999732971191, '2018-01-16': 13.170000076293944}, '1_month_later': {'2018-02-02': 12.539999961853027}, '3_months_later': {'2018-04-02': 12.90999984741211}, '6_months_later': {'2018-07-02': 12.489999771118164}, '12_months_later': {'2019-01-02': 13.470000267028809}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UVV | {'date': '2018-01-02', 'ticker': 'UVV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 51.5, 'high': 53.04999923706055, 'open': 52.59999847412109, 'close': 52.79999923706055, 'ema_50': 54.69928479413944, 'rsi_14': 28.915670402923723, 'target': 52.54999923706055, 'volume': 230500.0, 'ema_200': 59.14674194750756, 'adj_close': 45.97117614746094, 'rsi_lag_1': 28.915670402923723, 'rsi_lag_2': 27.05883514508848, 'rsi_lag_3': 21.29631853560872, 'rsi_lag_4': 21.29631853560869, 'rsi_lag_5': 28.94739131627776, 'macd_lag_1': -0.6549676913050035, 'macd_lag_2': -0.6434957049579353, 'macd_lag_3': -0.6144025098111996, 'macd_lag_4': -0.5734230810910077, 'macd_lag_5': -0.5331414431170245, 'macd_12_26_9': -0.6325601324518146, 'macds_12_26_9': -0.5918776033149176}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 52.54999923706055, '2018-01-04': 52.1500015258789, '2018-01-05': 52.09999847412109, '2018-01-08': 51.95000076293945, '2018-01-09': 51.25, '2018-01-10': 52.0, '2018-01-11': 52.25, '2018-01-12': 51.6500015258789, '2018-01-16': 50.1500015258789}, '1_month_later': {'2018-02-02': 47.6500015258789}, '3_months_later': {'2018-04-02': 48.04999923706055}, '6_months_later': {'2018-07-02': 66.40000152587889}, '12_months_later': {'2019-01-02': 54.79999923706055}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UUUU | {'date': '2018-01-02', 'ticker': 'UUUU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/news/18/01/10971248/5-stocks-to-watch-for-january-2-2018', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '5 Stocks To Watch For January 2, 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.7799999713897705, 'high': 1.9600000381469729, 'open': 1.7799999713897705, 'close': 1.940000057220459, 'ema_50': 1.761564654950016, 'rsi_14': 44.82759329424732, 'target': 1.8999999761581416, 'volume': 324700.0, 'ema_200': 1.746557309131761, 'adj_close': 1.940000057220459, 'rsi_lag_1': 43.52941291967444, 'rsi_lag_2': 51.16278940822856, 'rsi_lag_3': 49.39759105361744, 'rsi_lag_4': 48.235296097593405, 'rsi_lag_5': 44.444442809200574, 'macd_lag_1': 0.025361672023589632, 'macd_lag_2': 0.03283528767979882, 'macd_lag_3': 0.035787637530427796, 'macd_lag_4': 0.04514445928728672, 'macd_lag_5': 0.049303241581286406, 'macd_12_26_9': 0.03118307281201238, 'macds_12_26_9': 0.04484498675852453}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 1.8999999761581416, '2018-01-04': 1.8999999761581416, '2018-01-05': 1.8999999761581416, '2018-01-08': 1.850000023841858, '2018-01-09': 1.7699999809265137, '2018-01-10': 1.820000052452088, '2018-01-11': 1.7999999523162842, '2018-01-12': 1.809999942779541, '2018-01-16': 1.6599999666213991}, '1_month_later': {'2018-02-02': 1.559999942779541}, '3_months_later': {'2018-04-02': 1.7300000190734863}, '6_months_later': {'2018-07-02': 2.509999990463257}, '12_months_later': {'2019-01-02': 2.7799999713897705}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UUP | {'date': '2018-01-02', 'ticker': 'UUP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.920000076293945, 'high': 23.96999931335449, 'open': 23.93000030517578, 'close': 23.93000030517578, 'ema_50': 24.3005138408846, 'rsi_14': 20.000000000000085, 'target': 24.020000457763672, 'volume': 546200.0, 'ema_200': 24.630818448931443, 'adj_close': 23.210712432861328, 'rsi_lag_1': 22.666676839192917, 'rsi_lag_2': 30.434818664306903, 'rsi_lag_3': 38.805999891821386, 'rsi_lag_4': 47.05875753121877, 'rsi_lag_5': 51.42860256892334, 'macd_lag_1': -0.05708710887004287, 'macd_lag_2': -0.04117237959437148, 'macd_lag_3': -0.030442189708015377, 'macd_lag_4': -0.0234312058967312, 'macd_lag_5': -0.019232654974359775, 'macd_12_26_9': -0.07688258692269301, 'macds_12_26_9': -0.03869312990365529}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 24.020000457763672, '2018-01-04': 23.940000534057614, '2018-01-05': 23.959999084472656, '2018-01-08': 24.06999969482422, '2018-01-09': 24.1200008392334, '2018-01-10': 24.059999465942383, '2018-01-11': 23.959999084472656, '2018-01-12': 23.709999084472656, '2018-01-16': 23.57999992370605}, '1_month_later': {'2018-02-02': 23.270000457763672}, '3_months_later': {'2018-04-02': 23.60000038146973}, '6_months_later': {'2018-07-02': 25.059999465942383}, '12_months_later': {'2019-01-02': 25.63999938964844}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTSL | {'date': '2018-01-02', 'ticker': 'UTSL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.45000076293945, 'high': 27.5, 'open': 27.5, 'close': 26.636999130249023, 'ema_50': 30.147099118557765, 'rsi_14': 12.933824341303875, 'target': 25.90999984741211, 'volume': 22100.0, 'ema_200': 28.789617924275422, 'adj_close': 24.442642211914062, 'rsi_lag_1': 15.99573042335129, 'rsi_lag_2': 17.3815079215928, 'rsi_lag_3': 14.512710947111017, 'rsi_lag_4': 16.90201307031103, 'rsi_lag_5': 13.725943666317093, 'macd_lag_1': -1.286420853670343, 'macd_lag_2': -1.2955744081169627, 'macd_lag_3': -1.2558311663832065, 'macd_lag_4': -1.1664741828536762, 'macd_lag_5': -1.0242552190713923, 'macd_12_26_9': -1.33742111607269, 'macds_12_26_9': -0.9995506750994789}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 25.90999984741211, '2018-01-04': 25.440000534057614, '2018-01-05': 25.39999961853028, '2018-01-08': 26.09000015258789, '2018-01-09': 25.3799991607666, '2018-01-10': 24.32999992370605, '2018-01-11': 24.209999084472656, '2018-01-12': 23.809999465942383, '2018-01-16': 23.51300048828125}, '1_month_later': {'2018-02-02': 23.0}, '3_months_later': {'2018-04-02': 23.09000015258789}, '6_months_later': {'2018-07-02': 26.26300048828125}, '12_months_later': {'2019-01-02': 25.209999084472656}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTSI | {'date': '2018-01-02', 'ticker': 'UTSI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.630000114440918, 'high': 6.090000152587892, 'open': 5.630000114440918, 'close': 6.050000190734862, 'ema_50': 4.757619574340907, 'rsi_14': 51.32075790834397, 'target': 6.139999866485597, 'volume': 156100.0, 'ema_200': 3.1673626219748314, 'adj_close': 6.050000190734862, 'rsi_lag_1': 56.41892076931875, 'rsi_lag_2': 57.770270814505515, 'rsi_lag_3': 63.23529772692451, 'rsi_lag_4': 68.43972296777343, 'rsi_lag_5': 59.2024505329093, 'macd_lag_1': 0.4223253199109651, 'macd_lag_2': 0.47725328361286135, 'macd_lag_3': 0.5363467497693328, 'macd_lag_4': 0.578515548394221, 'macd_lag_5': 0.612723484340969, 'macd_12_26_9': 0.40798204594676246, 'macds_12_26_9': 0.5267456667077686}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 6.139999866485597, '2018-01-04': 6.079999923706055, '2018-01-05': 6.28000020980835, '2018-01-08': 6.420000076293945, '2018-01-09': 6.329999923706055, '2018-01-10': 6.139999866485597, '2018-01-11': 6.130000114440918, '2018-01-12': 6.050000190734862, '2018-01-16': 5.96999979019165}, '1_month_later': {'2018-02-02': 5.809999942779541}, '3_months_later': {'2018-04-02': 4.989999771118164}, '6_months_later': {'2018-07-02': 3.9800000190734863}, '12_months_later': {'2019-01-02': 2.789999961853028}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTMD | {'date': '2018-01-02', 'ticker': 'UTMD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 78.94999694824219, 'high': 83.25, 'open': 82.05000305175781, 'close': 79.30000305175781, 'ema_50': 79.0508066943212, 'rsi_14': 46.17737145758245, 'target': 79.80000305175781, 'volume': 13500.0, 'ema_200': 73.05569053207728, 'adj_close': 76.97956848144531, 'rsi_lag_1': 51.36054898407117, 'rsi_lag_2': 38.97059318515859, 'rsi_lag_3': 42.39131576546817, 'rsi_lag_4': 44.15096403822181, 'rsi_lag_5': 41.50200655946521, 'macd_lag_1': 0.4403329914144791, 'macd_lag_2': 0.4208307559757145, 'macd_lag_3': 0.61890854629236, 'macd_lag_4': 0.8270893206217949, 'macd_lag_5': 1.0145913271037443, 'macd_12_26_9': 0.28307323501736903, 'macds_12_26_9': 0.7144845683226572}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 79.80000305175781, '2018-01-04': 79.80000305175781, '2018-01-05': 80.30000305175781, '2018-01-08': 82.0, '2018-01-09': 81.4000015258789, '2018-01-10': 80.0, '2018-01-11': 81.30000305175781, '2018-01-12': 83.0, '2018-01-16': 83.9000015258789}, '1_month_later': {'2018-02-02': 90.4499969482422}, '3_months_later': {'2018-04-02': 95.3000030517578}, '6_months_later': {'2018-07-02': 110.75}, '12_months_later': {'2019-01-02': 84.7699966430664}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTL | {'date': '2018-01-02', 'ticker': 'UTL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.650001525878906, 'high': 45.41999816894531, 'open': 45.34999847412109, 'close': 44.84999847412109, 'ema_50': 48.77529676931762, 'rsi_14': 25.618199764854637, 'target': 45.04999923706055, 'volume': 115800.0, 'ema_200': 48.446634754702444, 'adj_close': 41.773136138916016, 'rsi_lag_1': 26.591372754214888, 'rsi_lag_2': 25.925923097396193, 'rsi_lag_3': 23.42800436407532, 'rsi_lag_4': 20.105802378434205, 'rsi_lag_5': 11.495401016890952, 'macd_lag_1': -1.4698662563526526, 'macd_lag_2': -1.514596796850384, 'macd_lag_3': -1.5863133409127457, 'macd_lag_4': -1.626267114665204, 'macd_lag_5': -1.5914987111692298, 'macd_12_26_9': -1.479494886424142, 'macds_12_26_9': -1.3428764709698553}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 45.04999923706055, '2018-01-04': 44.72000122070313, '2018-01-05': 44.72999954223633, '2018-01-08': 45.2400016784668, '2018-01-09': 44.61000061035156, '2018-01-10': 43.52999877929688, '2018-01-11': 43.83000183105469, '2018-01-12': 44.06999969482422, '2018-01-16': 43.86999893188477}, '1_month_later': {'2018-02-02': 43.43999862670898}, '3_months_later': {'2018-04-02': 46.04999923706055}, '6_months_later': {'2018-07-02': 51.61000061035156}, '12_months_later': {'2019-01-02': 48.40999984741211}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTI | {'date': '2018-01-02', 'ticker': 'UTI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.3399999141693115, 'high': 2.470000028610229, 'open': 2.3499999046325684, 'close': 2.380000114440918, 'ema_50': 2.9410818118960345, 'rsi_14': 30.188679245282984, 'target': 2.380000114440918, 'volume': 20800.0, 'ema_200': 3.25818526905925, 'adj_close': 2.380000114440918, 'rsi_lag_1': 27.5861955567796, 'rsi_lag_2': 40.000007947287216, 'rsi_lag_3': 37.49999534338787, 'rsi_lag_4': 28.395066089046082, 'rsi_lag_5': 28.749995529652665, 'macd_lag_1': -0.19732857908501344, 'macd_lag_2': -0.1975022123032839, 'macd_lag_3': -0.20096015706047243, 'macd_lag_4': -0.20754159941097194, 'macd_lag_5': -0.21190494535428162, 'macd_12_26_9': -0.19653922300118998, 'macds_12_26_9': -0.20320464612962064}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 2.380000114440918, '2018-01-04': 2.2799999713897705, '2018-01-05': 2.470000028610229, '2018-01-08': 2.509999990463257, '2018-01-09': 2.5299999713897705, '2018-01-10': 2.5999999046325684, '2018-01-11': 2.609999895095825, '2018-01-12': 2.5699999332427983, '2018-01-16': 2.609999895095825}, '1_month_later': {'2018-02-02': 2.720000028610229}, '3_months_later': {'2018-04-02': 2.940000057220459}, '6_months_later': {'2018-07-02': 3.1700000762939453}, '12_months_later': {'2019-01-02': 3.7899999618530273}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTHR | {'date': '2018-01-02', 'ticker': 'UTHR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 148.1300048828125, 'high': 152.35000610351562, 'open': 148.63999938964844, 'close': 151.94000244140625, 'ema_50': 132.8190058013676, 'rsi_14': 76.84973373628728, 'target': 150.08999633789062, 'volume': 441300.0, 'ema_200': 129.28687521846174, 'adj_close': 151.94000244140625, 'rsi_lag_1': 71.72463917071659, 'rsi_lag_2': 72.88455590235507, 'rsi_lag_3': 81.11760362243115, 'rsi_lag_4': 80.26718026281225, 'rsi_lag_5': 61.90124397997123, 'macd_lag_1': 5.394443062380191, 'macd_lag_2': 5.234310662387088, 'macd_lag_3': 4.822441737641867, 'macd_lag_4': 4.018894204740548, 'macd_lag_5': 3.062091437950329, 'macd_12_26_9': 5.776718821802319, 'macds_12_26_9': 4.59676241761514}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 150.08999633789062, '2018-01-04': 149.8300018310547, '2018-01-05': 149.7899932861328, '2018-01-08': 149.85000610351562, '2018-01-09': 150.3800048828125, '2018-01-10': 146.58999633789062, '2018-01-11': 142.92999267578125, '2018-01-12': 141.27000427246094, '2018-01-16': 135.1199951171875}, '1_month_later': {'2018-02-02': 133.30999755859378}, '3_months_later': {'2018-04-02': 107.41999816894533}, '6_months_later': {'2018-07-02': 113.80999755859376}, '12_months_later': {'2019-01-02': 107.6500015258789}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VAR | {'date': '2018-01-02', 'ticker': 'VAR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 110.58999633789062, 'high': 112.58999633789062, 'open': 111.13999938964844, 'close': 110.9800033569336, 'ema_50': 109.08594890425691, 'rsi_14': 49.03847846755168, 'target': 111.30999755859376, 'volume': 620100.0, 'ema_200': 101.35445194811739, 'adj_close': 110.9800033569336, 'rsi_lag_1': 46.23753569136104, 'rsi_lag_2': 51.66498835963194, 'rsi_lag_3': 50.31118969116878, 'rsi_lag_4': 57.0017655768669, 'rsi_lag_5': 55.947152258229245, 'macd_lag_1': 0.6581904745182925, 'macd_lag_2': 0.7076656207160852, 'macd_lag_3': 0.6444479149793523, 'macd_lag_4': 0.675549231291626, 'macd_lag_5': 0.7339286164580159, 'macd_12_26_9': 0.598366041945809, 'macds_12_26_9': 0.7584591130229528}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 111.30999755859376, '2018-01-04': 109.86000061035156, '2018-01-05': 110.87000274658205, '2018-01-08': 111.4000015258789, '2018-01-09': 112.93000030517578, '2018-01-10': 111.68000030517578, '2018-01-11': 111.52999877929688, '2018-01-12': 108.48999786376952, '2018-01-16': 108.08000183105467}, '1_month_later': {'2018-02-02': 124.86000061035156}, '3_months_later': {'2018-04-02': 119.06999969482422}, '6_months_later': {'2018-07-02': 114.02999877929688}, '12_months_later': {'2019-01-02': 112.66999816894533}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VECO | {'date': '2018-01-02', 'ticker': 'VECO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.949999809265137, 'high': 16.450000762939453, 'open': 14.949999809265137, 'close': 16.049999237060547, 'ema_50': 16.294116192838594, 'rsi_14': 73.82550189518798, 'target': 16.100000381469727, 'volume': 987300.0, 'ema_200': 21.408903795017714, 'adj_close': 16.049999237060547, 'rsi_lag_1': 71.53285108508643, 'rsi_lag_2': 52.12766248859269, 'rsi_lag_3': 49.162013375734006, 'rsi_lag_4': 48.08742992840043, 'rsi_lag_5': 46.23655550106963, 'macd_lag_1': -0.3857489261218312, 'macd_lag_2': -0.4236676713519181, 'macd_lag_3': -0.4862669569874658, 'macd_lag_4': -0.5081843440061107, 'macd_lag_5': -0.5491307444677211, 'macd_12_26_9': -0.2559181039015943, 'macds_12_26_9': -0.4958135458524276}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 16.100000381469727, '2018-01-04': 16.0, '2018-01-05': 16.299999237060547, '2018-01-08': 16.299999237060547, '2018-01-09': 16.0, '2018-01-10': 15.600000381469728, '2018-01-11': 16.049999237060547, '2018-01-12': 16.049999237060547, '2018-01-16': 16.100000381469727}, '1_month_later': {'2018-02-02': 16.5}, '3_months_later': {'2018-04-02': 16.299999237060547}, '6_months_later': {'2018-07-02': 14.300000190734863}, '12_months_later': {'2019-01-02': 7.769999980926514}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VEC | {'date': '2018-01-02', 'ticker': 'VEC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.1200008392334, 'high': 31.8700008392334, 'open': 31.1200008392334, 'close': 31.65999984741211, 'ema_50': 31.756272229145065, 'rsi_14': 54.617830477526276, 'target': 30.90999984741211, 'volume': 44900.0, 'ema_200': 29.879843915352062, 'adj_close': 31.65999984741211, 'rsi_lag_1': 47.636364014680396, 'rsi_lag_2': 56.21301930971387, 'rsi_lag_3': 59.62341501799007, 'rsi_lag_4': 55.01928149061595, 'rsi_lag_5': 59.85531769885191, 'macd_lag_1': -0.012287176015139067, 'macd_lag_2': 0.09158763969262296, 'macd_lag_3': 0.1556375088821298, 'macd_lag_4': 0.19337917550922157, 'macd_lag_5': 0.19088400281884432, 'macd_12_26_9': -0.028915211824791953, 'macds_12_26_9': 0.05797946411248248}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 30.90999984741211, '2018-01-04': 31.06999969482422, '2018-01-05': 30.70000076293945, '2018-01-08': 30.290000915527344, '2018-01-09': 30.25, '2018-01-10': 31.209999084472656, '2018-01-11': 31.940000534057614, '2018-01-12': 31.920000076293945, '2018-01-16': 31.20000076293945}, '1_month_later': {'2018-02-02': 29.20000076293945}, '3_months_later': {'2018-04-02': 36.790000915527344}, '6_months_later': {'2018-07-02': 31.32999992370605}, '12_months_later': {'2019-01-02': 22.059999465942383}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VEA | {'date': '2018-01-02', 'ticker': 'VEA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.9900016784668, 'high': 45.2599983215332, 'open': 45.040000915527344, 'close': 45.25, 'ema_50': 44.291470253091575, 'rsi_14': 68.03653047573926, 'target': 45.52999877929688, 'volume': 9308000.0, 'ema_200': 42.36844455023201, 'adj_close': 42.10893249511719, 'rsi_lag_1': 62.9629853891286, 'rsi_lag_2': 67.13613089598755, 'rsi_lag_3': 66.9810794519069, 'rsi_lag_4': 59.27603450150781, 'rsi_lag_5': 57.522132856214505, 'macd_lag_1': 0.15137109801710125, 'macd_lag_2': 0.1436087346174304, 'macd_lag_3': 0.13263068124542343, 'macd_lag_4': 0.13094400288760255, 'macd_lag_5': 0.1380866100683349, 'macd_12_26_9': 0.18683875742736689, 'macds_12_26_9': 0.14883979487113225}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 45.52999877929688, '2018-01-04': 45.93999862670898, '2018-01-05': 46.15999984741211, '2018-01-08': 46.13999938964844, '2018-01-09': 46.18000030517578, '2018-01-10': 46.06000137329102, '2018-01-11': 46.36000061035156, '2018-01-12': 46.79999923706055, '2018-01-16': 46.75}, '1_month_later': {'2018-02-02': 46.09000015258789}, '3_months_later': {'2018-04-02': 43.59000015258789}, '6_months_later': {'2018-07-02': 42.43999862670898}, '12_months_later': {'2019-01-02': 37.04999923706055}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VCYT | {'date': '2018-01-02', 'ticker': 'VCYT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.46999979019165, 'high': 6.755000114440918, 'open': 6.550000190734862, 'close': 6.71999979019165, 'ema_50': 6.9312243170213375, 'rsi_14': 59.21985347903592, 'target': 6.690000057220459, 'volume': 62600.0, 'ema_200': 7.612442549996854, 'adj_close': 6.71999979019165, 'rsi_lag_1': 52.868859987688225, 'rsi_lag_2': 49.56141433263921, 'rsi_lag_3': 55.691051394903695, 'rsi_lag_4': 49.15966470736024, 'rsi_lag_5': 45.34884150745603, 'macd_lag_1': -0.11152109694288015, 'macd_lag_2': -0.12487631554620027, 'macd_lag_3': -0.12686967286705286, 'macd_lag_4': -0.13062306287194403, 'macd_lag_5': -0.12333197309200372, 'macd_12_26_9': -0.08463004920949846, 'macds_12_26_9': -0.14044636561755824}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 6.690000057220459, '2018-01-04': 6.699999809265138, '2018-01-05': 6.619999885559082, '2018-01-08': 6.579999923706055, '2018-01-09': 6.679999828338622, '2018-01-10': 6.809999942779541, '2018-01-11': 6.75, '2018-01-12': 6.630000114440918, '2018-01-16': 6.260000228881836}, '1_month_later': {'2018-02-02': 6.28000020980835}, '3_months_later': {'2018-04-02': 5.389999866485597}, '6_months_later': {'2018-07-02': 9.670000076293944}, '12_months_later': {'2019-01-02': 12.0}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VCSH | {'date': '2018-01-02', 'ticker': 'VCSH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/notable-etf-outflow-detected-vcsh-2018-01-02', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Vanguard Short-Term Corporate Bond ETF (Symbol: VCSH) where we have detected an approximate $63.4 million dollar outflow -- that's a 0.3% decrease week over week (from 274,235,907 to 273,436,016). The chart below shows the one year price performance of VCSH, versus its 200 day moving average:\nLooking at the chart above, VCSH's low point in its 52 week range is $79.06 per share, with $80.41 as the 52 week high point - that compares with a last trade of $79.27. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average » .\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs experienced notable outflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "The chart below shows the one year price performance of VCSH, versus its 200 day moving average: Looking at the chart above, VCSH's low point in its 52 week range is $79.06 per share, with $80.41 as the 52 week high point - that compares with a last trade of $79.27. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Vanguard Short-Term Corporate Bond ETF (Symbol: VCSH) where we have detected an approximate $63.4 million dollar outflow -- that's a 0.3% decrease week over week (from 274,235,907 to 273,436,016). These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "The chart below shows the one year price performance of VCSH, versus its 200 day moving average: Looking at the chart above, VCSH's low point in its 52 week range is $79.06 per share, with $80.41 as the 52 week high point - that compares with a last trade of $79.27. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Vanguard Short-Term Corporate Bond ETF (Symbol: VCSH) where we have detected an approximate $63.4 million dollar outflow -- that's a 0.3% decrease week over week (from 274,235,907 to 273,436,016). Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed).", 'news_article_title': 'Notable ETF Outflow Detected - VCSH', 'news_lexrank_summary': "The chart below shows the one year price performance of VCSH, versus its 200 day moving average: Looking at the chart above, VCSH's low point in its 52 week range is $79.06 per share, with $80.41 as the 52 week high point - that compares with a last trade of $79.27. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Vanguard Short-Term Corporate Bond ETF (Symbol: VCSH) where we have detected an approximate $63.4 million dollar outflow -- that's a 0.3% decrease week over week (from 274,235,907 to 273,436,016). These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_textrank_summary': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Vanguard Short-Term Corporate Bond ETF (Symbol: VCSH) where we have detected an approximate $63.4 million dollar outflow -- that's a 0.3% decrease week over week (from 274,235,907 to 273,436,016). The chart below shows the one year price performance of VCSH, versus its 200 day moving average: Looking at the chart above, VCSH's low point in its 52 week range is $79.06 per share, with $80.41 as the 52 week high point - that compares with a last trade of $79.27. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed)."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 79.19999694824219, 'high': 79.30000305175781, 'open': 79.2699966430664, 'close': 79.2699966430664, 'ema_50': 79.58702588272975, 'rsi_14': 36.8421052631579, 'target': 79.27999877929688, 'volume': 1772300.0, 'ema_200': 79.8364308127379, 'adj_close': 74.03851318359375, 'rsi_lag_1': 38.35646503072614, 'rsi_lag_2': 36.00020344845125, 'rsi_lag_3': 37.66224758734122, 'rsi_lag_4': 32.39453267713996, 'rsi_lag_5': 41.81798005298858, 'macd_lag_1': -0.10207044155772849, 'macd_lag_2': -0.10432522107602438, 'macd_lag_3': -0.10466728257479474, 'macd_lag_4': -0.10256304490687285, 'macd_lag_5': -0.08718538421263133, 'macd_12_26_9': -0.10153435412070166, 'macds_12_26_9': -0.09697173870717786}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 79.27999877929688, '2018-01-04': 79.23999786376953, '2018-01-05': 79.26000213623047, '2018-01-08': 79.2699966430664, '2018-01-09': 79.26000213623047, '2018-01-10': 79.2699966430664, '2018-01-11': 79.2699966430664, '2018-01-12': 79.26000213623047, '2018-01-16': 79.22000122070312}, '1_month_later': {'2018-02-02': 78.79000091552734}, '3_months_later': {'2018-04-02': 78.2300033569336}, '6_months_later': {'2018-07-02': 77.95999908447266}, '12_months_later': {'2019-01-02': 77.98999786376953}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VCR | {'date': '2018-01-02', 'ticker': 'VCR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 156.22000122070312, 'high': 158.14999389648438, 'open': 156.72000122070312, 'close': 158.05999755859375, 'ema_50': 151.53582700237547, 'rsi_14': 72.04167647626313, 'target': 158.86000061035156, 'volume': 138900.0, 'ema_200': 143.9588300479372, 'adj_close': 153.4485321044922, 'rsi_lag_1': 65.1733581470832, 'rsi_lag_2': 79.05900876390706, 'rsi_lag_3': 79.05900876390706, 'rsi_lag_4': 72.96903382984634, 'rsi_lag_5': 63.62484794451933, 'macd_lag_1': 1.8986521766878184, 'macd_lag_2': 2.0372572436420455, 'macd_lag_3': 2.0796622753005067, 'macd_lag_4': 2.151391552357211, 'macd_lag_5': 2.1790686613003913, 'macd_12_26_9': 1.9351447560090378, 'macds_12_26_9': 2.0402041465441543}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 158.86000061035156, '2018-01-04': 159.24000549316406, '2018-01-05': 160.52000427246094, '2018-01-08': 160.77000427246094, '2018-01-09': 160.9499969482422, '2018-01-10': 160.7899932861328, '2018-01-11': 163.52000427246094, '2018-01-12': 165.33999633789062, '2018-01-16': 164.10000610351562}, '1_month_later': {'2018-02-02': 165.6199951171875}, '3_months_later': {'2018-04-02': 154.0500030517578}, '6_months_later': {'2018-07-02': 169.60000610351562}, '12_months_later': {'2019-01-02': 151.6300048828125}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VCLT | {'date': '2018-01-02', 'ticker': 'VCLT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 94.5500030517578, 'high': 95.5999984741211, 'open': 95.58999633789062, 'close': 94.83999633789062, 'ema_50': 94.83925298814752, 'rsi_14': 47.480903226708115, 'target': 95.3499984741211, 'volume': 701500.0, 'ema_200': 93.43840731989056, 'adj_close': 85.6311264038086, 'rsi_lag_1': 54.75352893058194, 'rsi_lag_2': 53.27273282137786, 'rsi_lag_3': 50.69199059658379, 'rsi_lag_4': 44.117677857911225, 'rsi_lag_5': 50.646945921666756, 'macd_lag_1': 0.2016497291213284, 'macd_lag_2': 0.177017177361094, 'macd_lag_3': 0.16336561435561237, 'macd_lag_4': 0.12116568115931159, 'macd_lag_5': 0.16837661539517512, 'macd_12_26_9': 0.1460578495729834, 'macds_12_26_9': 0.1981994886029265}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 95.3499984741211, '2018-01-04': 95.25, '2018-01-05': 95.11000061035156, '2018-01-08': 95.13999938964844, '2018-01-09': 94.41999816894533, '2018-01-10': 94.72000122070312, '2018-01-11': 95.13999938964844, '2018-01-12': 95.45999908447266, '2018-01-16': 95.5}, '1_month_later': {'2018-02-02': 92.76000213623048}, '3_months_later': {'2018-04-02': 91.0199966430664}, '6_months_later': {'2018-07-02': 87.22000122070312}, '12_months_later': {'2019-01-02': 85.58000183105469}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VCIT | {'date': '2018-01-02', 'ticker': 'VCIT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 87.01000213623047, 'high': 87.41000366210938, 'open': 87.41000366210938, 'close': 87.16999816894531, 'ema_50': 87.53790470734887, 'rsi_14': 41.84765932744537, 'target': 87.23999786376953, 'volume': 967700.0, 'ema_200': 87.54119190689383, 'adj_close': 87.16999816894531, 'rsi_lag_1': 46.951222348863716, 'rsi_lag_2': 43.47819905887036, 'rsi_lag_3': 42.16851965051453, 'rsi_lag_4': 34.24643217340865, 'rsi_lag_5': 44.13768790810985, 'macd_lag_1': -0.08958324202119172, 'macd_lag_2': -0.10139295372998447, 'macd_lag_3': -0.10786439205647014, 'macd_lag_4': -0.12066420632918096, 'macd_lag_5': -0.10164689846709507, 'macd_12_26_9': -0.09685968216842866, 'macds_12_26_9': -0.08946296627963649}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 87.23999786376953, '2018-01-04': 87.22000122070312, '2018-01-05': 87.16000366210938, '2018-01-08': 87.12999725341797, '2018-01-09': 86.88999938964844, '2018-01-10': 86.97000122070312, '2018-01-11': 87.01000213623047, '2018-01-12': 86.9800033569336, '2018-01-16': 86.97000122070312}, '1_month_later': {'2018-02-02': 85.56999969482422}, '3_months_later': {'2018-04-02': 84.55999755859375}, '6_months_later': {'2018-07-02': 83.23999786376953}, '12_months_later': {'2019-01-02': 82.97000122070312}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
vamo | {'date': '2018-01-02', 'ticker': 'vamo', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.049999237060547, 'high': 25.36000061035156, 'open': 25.36000061035156, 'close': 25.31999969482422, 'ema_50': 24.923545183829557, 'rsi_14': 62.2857497858314, 'target': 25.3700008392334, 'volume': 9000.0, 'ema_200': 24.25516153983212, 'adj_close': 23.60668182373047, 'rsi_lag_1': 49.41666688484919, 'rsi_lag_2': 63.31617696458458, 'rsi_lag_3': 67.7492778990284, 'rsi_lag_4': 49.49889498831268, 'rsi_lag_5': 50.27412974393992, 'macd_lag_1': 0.06470485391324132, 'macd_lag_2': 0.08533831468425035, 'macd_lag_3': 0.0788692471406236, 'macd_lag_4': 0.0694651755174398, 'macd_lag_5': 0.057266244327774274, 'macd_12_26_9': 0.07731724412717611, 'macds_12_26_9': 0.0662659736706595}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 25.3700008392334, '2018-01-04': 25.349000930786133, '2018-01-05': 25.46999931335449, '2018-01-08': 25.5, '2018-01-09': 25.489999771118164, '2018-01-10': 25.6299991607666, '2018-01-11': 26.0, '2018-01-12': 26.00200080871582, '2018-01-16': 25.709999084472656}, '1_month_later': {'2018-02-02': 24.920000076293945}, '3_months_later': {'2018-04-02': 24.68000030517578}, '6_months_later': {'2018-07-02': 25.795000076293945}, '12_months_later': {'2019-01-02': 22.209999084472656}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VCF | {'date': '2018-01-02', 'ticker': 'VCF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.119999885559082, 'high': 15.31999969482422, 'open': 15.119999885559082, 'close': 15.18000030517578, 'ema_50': 15.357076565190946, 'rsi_14': 39.39394523216166, 'target': 15.34000015258789, 'volume': 10100.0, 'ema_200': 15.163815621193878, 'adj_close': 13.581379890441896, 'rsi_lag_1': 45.88237274063436, 'rsi_lag_2': 38.888902268154844, 'rsi_lag_3': 37.62888118302775, 'rsi_lag_4': 47.99999660915795, 'rsi_lag_5': 52.45903305262486, 'macd_lag_1': 0.04445839480239755, 'macd_lag_2': 0.04637253278570874, 'macd_lag_3': 0.04915936445731184, 'macd_lag_4': 0.05607405315108949, 'macd_lag_5': 0.060011364376638454, 'macd_12_26_9': 0.015329546377666148, 'macds_12_26_9': 0.059510648372680136}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 15.34000015258789, '2018-01-04': 15.449999809265137, '2018-01-05': 15.399999618530272, '2018-01-08': 15.4399995803833, '2018-01-09': 15.380000114440918, '2018-01-10': 15.350000381469728, '2018-01-11': 15.75, '2018-01-12': 15.399999618530272, '2018-01-16': 15.40999984741211}, '1_month_later': {'2018-02-02': 14.43000030517578}, '3_months_later': {'2018-04-02': 14.399999618530272}, '6_months_later': {'2018-07-02': 14.529999732971191}, '12_months_later': {'2019-01-02': 13.100000381469728}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VC | {'date': '2018-01-02', 'ticker': 'VC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 124.33999633789062, 'high': 126.0500030517578, 'open': 125.0, 'close': 125.55999755859376, 'ema_50': 126.21934716960281, 'rsi_14': 44.265384541677356, 'target': 127.68000030517578, 'volume': 228900.0, 'ema_200': 113.74706623664706, 'adj_close': 125.55999755859376, 'rsi_lag_1': 41.72124057386824, 'rsi_lag_2': 49.06053988793208, 'rsi_lag_3': 47.72360049200897, 'rsi_lag_4': 41.60657495928958, 'rsi_lag_5': 44.024498253770766, 'macd_lag_1': -0.4258181691511851, 'macd_lag_2': -0.30690139124342863, 'macd_lag_3': -0.4255651001168559, 'macd_lag_4': -0.3671967416226778, 'macd_lag_5': -0.20284794727928102, 'macd_12_26_9': -0.4806298287453643, 'macds_12_26_9': -0.2753643971537562}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 127.68000030517578, '2018-01-04': 133.24000549316406, '2018-01-05': 136.74000549316406, '2018-01-08': 135.89999389648438, '2018-01-09': 138.69999694824222, '2018-01-10': 136.0, '2018-01-11': 138.08000183105472, '2018-01-12': 138.02999877929688, '2018-01-16': 131.5}, '1_month_later': {'2018-02-02': 123.93000030517578}, '3_months_later': {'2018-04-02': 108.5}, '6_months_later': {'2018-07-02': 126.95999908447266}, '12_months_later': {'2019-01-02': 61.0}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VBND | {'date': '2018-01-02', 'ticker': 'VBND', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 49.00799942016602, 'high': 49.20000076293945, 'open': 49.20000076293945, 'close': 49.13000106811523, 'ema_50': 49.654860943236194, 'rsi_14': 29.721223021582603, 'target': 49.18000030517578, 'volume': 59600.0, 'ema_200': 49.818483632746336, 'adj_close': 45.80027389526367, 'rsi_lag_1': 32.6986369306142, 'rsi_lag_2': 30.721328120551888, 'rsi_lag_3': 30.626149967599872, 'rsi_lag_4': 25.795761839352608, 'rsi_lag_5': 26.767043809105346, 'macd_lag_1': -0.17890635812643296, 'macd_lag_2': -0.17845757980592936, 'macd_lag_3': -0.17488159145027282, 'macd_lag_4': -0.17082840728009074, 'macd_lag_5': -0.14789741092567965, 'macd_12_26_9': -0.18391997166411045, 'macds_12_26_9': -0.141186137043722}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 49.18000030517578, '2018-01-04': 49.16999816894531, '2018-01-05': 49.11999893188477, '2018-01-08': 49.11000061035156, '2018-01-09': 48.97000122070313, '2018-01-10': 48.9900016784668, '2018-01-11': 48.90999984741211, '2018-01-12': 48.88000106811523, '2018-01-16': 49.0099983215332}, '1_month_later': {'2018-02-02': 48.27000045776367}, '3_months_later': {'2018-04-02': 48.09000015258789}, '6_months_later': {'2018-07-02': 47.5}, '12_months_later': {'2019-01-02': 47.40999984741211}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VBLT | {'date': '2018-01-02', 'ticker': 'VBLT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.zacks.com/stock/news/287442/implied-volatility-surging-for-vascular-biogenics-vblt-stock-options?cid=CS-BENZ-FT-287442', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Implied Volatility Surging for Vascular Biogenics (VBLT) Stock Options', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.099999904632568, 'high': 7.349999904632567, 'open': 7.300000190734862, 'close': 7.199999809265138, 'ema_50': 6.711515509827863, 'rsi_14': 63.82978248509733, 'target': 7.525000095367432, 'volume': 250400.0, 'ema_200': 5.858774908820803, 'adj_close': 7.199999809265138, 'rsi_lag_1': 60.86956882296646, 'rsi_lag_2': 56.09756324491295, 'rsi_lag_3': 65.00001668930842, 'rsi_lag_4': 75.00001986822852, 'rsi_lag_5': 59.45947757162351, 'macd_lag_1': 0.05799411258653375, 'macd_lag_2': 0.04384602863609466, 'macd_lag_3': 0.050604713795552314, 'macd_lag_4': 0.03813151970436657, 'macd_lag_5': -0.003797997404082487, 'macd_12_26_9': 0.07639509254589694, 'macds_12_26_9': 0.033440333116612146}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 7.525000095367432, '2018-01-04': 8.25, '2018-01-05': 7.949999809265138, '2018-01-08': 7.800000190734862, '2018-01-09': 7.949999809265138, '2018-01-10': 8.149999618530272, '2018-01-11': 8.5, '2018-01-12': 8.300000190734862, '2018-01-16': 7.550000190734862}, '1_month_later': {'2018-02-02': 6.349999904632568}, '3_months_later': {'2018-04-02': 2.200000047683716}, '6_months_later': {'2018-07-02': 2.174999952316284}, '12_months_later': {'2019-01-02': 0.9929999709129332}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VBK | {'date': '2018-01-02', 'ticker': 'VBK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 160.91000366210938, 'high': 162.3000030517578, 'open': 161.4199981689453, 'close': 162.3000030517578, 'ema_50': 158.0218648449676, 'rsi_14': 66.33952917957572, 'target': 163.1999969482422, 'volume': 304200.0, 'ema_200': 149.56712771929972, 'adj_close': 159.80369567871094, 'rsi_lag_1': 59.263390576358475, 'rsi_lag_2': 69.06728974656453, 'rsi_lag_3': 72.36283625980431, 'rsi_lag_4': 66.07316962736013, 'rsi_lag_5': 58.97436614010941, 'macd_lag_1': 1.0251354726146644, 'macd_lag_2': 1.0865605395057685, 'macd_lag_3': 1.0442841413255621, 'macd_lag_4': 1.0260435874108111, 'macd_lag_5': 1.00616581793534, 'macd_12_26_9': 1.0809972369031868, 'macds_12_26_9': 1.0167794368034841}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 163.1999969482422, '2018-01-04': 163.0800018310547, '2018-01-05': 163.82000732421875, '2018-01-08': 164.1999969482422, '2018-01-09': 164.25, '2018-01-10': 163.77999877929688, '2018-01-11': 165.8699951171875, '2018-01-12': 166.5, '2018-01-16': 164.5500030517578}, '1_month_later': {'2018-02-02': 164.49000549316406}, '3_months_later': {'2018-04-02': 159.86000061035156}, '6_months_later': {'2018-07-02': 176.67999267578125}, '12_months_later': {'2019-01-02': 149.77999877929688}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VBIV | {'date': '2018-01-02', 'ticker': 'VBIV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.1599998474121085, 'high': 4.480000019073486, 'open': 4.280000209808351, 'close': 4.46999979019165, 'ema_50': 4.233806626588616, 'rsi_14': 66.66665539392315, 'target': 4.300000190734863, 'volume': 113803.0, 'ema_200': 4.309929588440404, 'adj_close': 4.46999979019165, 'rsi_lag_1': 51.38888704924003, 'rsi_lag_2': 53.061229123781125, 'rsi_lag_3': 52.34899865813569, 'rsi_lag_4': 58.6466146543846, 'rsi_lag_5': 50.322572507673236, 'macd_lag_1': 0.01965003784747399, 'macd_lag_2': 0.027045688975986693, 'macd_lag_3': 0.03507363218148729, 'macd_lag_4': 0.0448100450411415, 'macd_lag_5': 0.03927641576399221, 'macd_12_26_9': 0.029586192969105696, 'macds_12_26_9': 0.027118623385540292}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 4.300000190734863, '2018-01-04': 4.429999828338623, '2018-01-05': 4.440000057220459, '2018-01-08': 4.389999866485597, '2018-01-09': 4.380000114440918, '2018-01-10': 4.260000228881837, '2018-01-11': 4.389999866485597, '2018-01-12': 4.460000038146973, '2018-01-16': 4.360000133514403}, '1_month_later': {'2018-02-02': 3.890000104904175}, '3_months_later': {'2018-04-02': 3.509999990463257}, '6_months_later': {'2018-07-02': 2.6600000858306885}, '12_months_later': {'2019-01-02': 1.649999976158142}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VB | {'date': '2018-01-02', 'ticker': 'VB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 147.8699951171875, 'high': 148.97999572753906, 'open': 148.3300018310547, 'close': 148.97999572753906, 'ema_50': 145.39177738434938, 'rsi_14': 61.570650680335156, 'target': 149.25999450683594, 'volume': 1155000.0, 'ema_200': 138.64017439813188, 'adj_close': 143.79698181152344, 'rsi_lag_1': 55.75327439779317, 'rsi_lag_2': 63.55609005195305, 'rsi_lag_3': 66.43438809779093, 'rsi_lag_4': 61.60518202114051, 'rsi_lag_5': 53.56102920160061, 'macd_lag_1': 0.9102463852138953, 'macd_lag_2': 0.9737377842901651, 'macd_lag_3': 0.9550855387544175, 'macd_lag_4': 0.9682954284341747, 'macd_lag_5': 0.9751437977998592, 'macd_12_26_9': 0.9442597032624747, 'macds_12_26_9': 0.9517188220753995}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 149.25999450683594, '2018-01-04': 149.4600067138672, '2018-01-05': 150.00999450683594, '2018-01-08': 150.38999938964844, '2018-01-09': 150.32000732421875, '2018-01-10': 150.02000427246094, '2018-01-11': 152.22000122070312, '2018-01-12': 152.7100067138672, '2018-01-16': 151.08999633789062}, '1_month_later': {'2018-02-02': 149.30999755859375}, '3_months_later': {'2018-04-02': 143.3800048828125}, '6_months_later': {'2018-07-02': 156.2899932861328}, '12_months_later': {'2019-01-02': 131.8800048828125}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VAW | {'date': '2018-01-02', 'ticker': 'VAW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 137.33999633789062, 'high': 138.8699951171875, 'open': 137.47999572753906, 'close': 138.83000183105472, 'ema_50': 133.4406106006832, 'rsi_14': 74.02474311433689, 'target': 139.74000549316406, 'volume': 262600.0, 'ema_200': 126.21604110498575, 'adj_close': 132.21652221679688, 'rsi_lag_1': 67.27044104613054, 'rsi_lag_2': 70.47880705072203, 'rsi_lag_3': 71.42865559206116, 'rsi_lag_4': 63.372125001552966, 'rsi_lag_5': 57.956989776580976, 'macd_lag_1': 1.0305413718473915, 'macd_lag_2': 1.0029828672501822, 'macd_lag_3': 0.9216559646201858, 'macd_lag_4': 0.8726653538887774, 'macd_lag_5': 0.8076230915981455, 'macd_12_26_9': 1.2103036510370941, 'macds_12_26_9': 0.9086919912878523}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 139.74000549316406, '2018-01-04': 140.66999816894528, '2018-01-05': 141.80999755859375, '2018-01-08': 142.05999755859375, '2018-01-09': 141.5, '2018-01-10': 140.9600067138672, '2018-01-11': 143.16000366210938, '2018-01-12': 143.27999877929688, '2018-01-16': 141.5}, '1_month_later': {'2018-02-02': 136.21000671386722}, '3_months_later': {'2018-04-02': 125.95999908447266}, '6_months_later': {'2018-07-02': 131.02000427246094}, '12_months_later': {'2019-01-02': 111.3499984741211}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VCEL | {'date': '2018-01-02', 'ticker': 'VCEL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/analyst-ratings/analyst-color/18/01/10973513/update-piper-jaffray-on-vericel-highlights-co-partnered', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'UPDATE: Piper Jaffray On Vericel Highlights Co. Partnered Its RegenMed Products With ICT In China, Received $5.1M In Cash, Warrants, Is Eligible For Up To $8M In Milestone Payments', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/analyst-ratings/analyst-color/18/01/10973492/vericel-shares-spike-0-20-over-last-few-mins-as-traders', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Vericel Shares Spike ~$0.20 Over Last Few Mins As Traders Circulate Note From Piper Jaffray Showing Increased Price Target To New Street High Of $9', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10972033/vericel-to-receive-5-1m-due-to-a-licensing-agreement-with-innovative-cellular-th', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Vericel to Receive $5.1M Due to a Licensing Agreement with Innovative Cellular Therapeutics', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.gurufocus.com/news/616995/vericel-initiates-collaboration-with-innovative-cellular-therapeutics-', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Vericel Initiates Collaboration with Innovative Cellular Therapeutics', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.329999923706055, 'high': 6.050000190734862, 'open': 5.550000190734863, 'close': 5.9000000953674325, 'ema_50': 4.708645496360624, 'rsi_14': 72.34043502980538, 'target': 5.949999809265138, 'volume': 2540100.0, 'ema_200': 3.939064736698999, 'adj_close': 5.9000000953674325, 'rsi_lag_1': 67.9803026249308, 'rsi_lag_2': 57.65305563888043, 'rsi_lag_3': 50.0, 'rsi_lag_4': 53.731335139779766, 'rsi_lag_5': 56.94444935017687, 'macd_lag_1': 0.2180703717884933, 'macd_lag_2': 0.19562558368875216, 'macd_lag_3': 0.18958695475143017, 'macd_lag_4': 0.18930364840127023, 'macd_lag_5': 0.17600673039318782, 'macd_12_26_9': 0.2690676460082617, 'macds_12_26_9': 0.19655113075367406}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 5.949999809265138, '2018-01-04': 5.699999809265138, '2018-01-05': 5.849999904632568, '2018-01-08': 6.050000190734862, '2018-01-09': 6.050000190734862, '2018-01-10': 6.449999809265138, '2018-01-11': 6.449999809265138, '2018-01-12': 6.630000114440918, '2018-01-16': 6.25}, '1_month_later': {'2018-02-02': 7.599999904632567}, '3_months_later': {'2018-04-02': 9.600000381469728}, '6_months_later': {'2018-07-02': 10.0}, '12_months_later': {'2019-01-02': 17.729999542236328}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTG | {'date': '2018-01-02', 'ticker': 'UTG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.60000038146973, 'high': 30.989999771118164, 'open': 30.8799991607666, 'close': 30.790000915527344, 'ema_50': 31.28314031181037, 'rsi_14': 32.682974938406446, 'target': 30.61000061035156, 'volume': 235300.0, 'ema_200': 32.45025673288652, 'adj_close': 26.28978538513184, 'rsi_lag_1': 38.50004482260693, 'rsi_lag_2': 39.108910423648176, 'rsi_lag_3': 40.51281198556673, 'rsi_lag_4': 35.19553489323654, 'rsi_lag_5': 34.05406965834783, 'macd_lag_1': -0.07718049610445732, 'macd_lag_2': -0.08045877510860322, 'macd_lag_3': -0.07939992127317907, 'macd_lag_4': -0.08707538781798618, 'macd_lag_5': -0.07626001419014017, 'macd_12_26_9': -0.085698275615254, 'macds_12_26_9': -0.06063109733635252}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 30.61000061035156, '2018-01-04': 30.6299991607666, '2018-01-05': 30.78000068664551, '2018-01-08': 31.170000076293945, '2018-01-09': 30.89999961853028, '2018-01-10': 30.57999992370605, '2018-01-11': 30.57999992370605, '2018-01-12': 30.479999542236328, '2018-01-16': 30.440000534057614}, '1_month_later': {'2018-02-02': 29.82999992370605}, '3_months_later': {'2018-04-02': 27.8799991607666}, '6_months_later': {'2018-07-02': 29.0}, '12_months_later': {'2019-01-02': 29.35000038146973}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTF | {'date': '2018-01-02', 'ticker': 'UTF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.82999992370605, 'high': 24.1200008392334, 'open': 24.0, 'close': 23.940000534057614, 'ema_50': 23.27448899271939, 'rsi_14': 55.290125273082744, 'target': 24.04999923706055, 'volume': 359200.0, 'ema_200': 22.77858975699946, 'adj_close': 19.46098899841309, 'rsi_lag_1': 60.44303606458425, 'rsi_lag_2': 52.65153841318773, 'rsi_lag_3': 55.73120413977463, 'rsi_lag_4': 51.5151440088644, 'rsi_lag_5': 47.222234836959544, 'macd_lag_1': 0.09670181596206362, 'macd_lag_2': 0.043715414054393165, 'macd_lag_3': 0.03246776431104337, 'macd_lag_4': 0.004403136606949687, 'macd_lag_5': 0.004154823190905432, 'macd_12_26_9': 0.13232708153007877, 'macds_12_26_9': 0.060981094253758784}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 24.04999923706055, '2018-01-04': 24.09000015258789, '2018-01-05': 24.309999465942383, '2018-01-08': 24.489999771118164, '2018-01-09': 24.489999771118164, '2018-01-10': 24.26000022888184, '2018-01-11': 24.39999961853028, '2018-01-12': 24.21999931335449, '2018-01-16': 23.8700008392334}, '1_month_later': {'2018-02-02': 22.76000022888184}, '3_months_later': {'2018-04-02': 21.309999465942383}, '6_months_later': {'2018-07-02': 22.75}, '12_months_later': {'2019-01-02': 20.38999938964844}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UTES | {'date': '2018-01-02', 'ticker': 'UTES', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.209999084472656, 'high': 32.22999954223633, 'open': 32.22999954223633, 'close': 32.215999603271484, 'ema_50': 33.421842599937925, 'rsi_14': 19.593153144813073, 'target': 31.92600059509277, 'volume': 3300.0, 'ema_200': 32.98857535117471, 'adj_close': 30.588685989379886, 'rsi_lag_1': 22.426479754662566, 'rsi_lag_2': 12.407799721287958, 'rsi_lag_3': 6.774696762281678, 'rsi_lag_4': 12.775737388789551, 'rsi_lag_5': 10.303917202180642, 'macd_lag_1': -0.44959980228652796, 'macd_lag_2': -0.4649924917460524, 'macd_lag_3': -0.44936666706603745, 'macd_lag_4': -0.409547955584884, 'macd_lag_5': -0.3528695012827612, 'macd_12_26_9': -0.4606556819245995, 'macds_12_26_9': -0.3459130649556589}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 31.92600059509277, '2018-01-04': 31.77599906921387, '2018-01-05': 31.68400001525879, '2018-01-08': 31.75, '2018-01-09': 31.75, '2018-01-10': 31.75, '2018-01-11': 31.07500076293945, '2018-01-12': 30.988000869750977, '2018-01-16': 31.06999969482422}, '1_month_later': {'2018-02-02': 31.280000686645508}, '3_months_later': {'2018-04-02': 31.27700042724609}, '6_months_later': {'2018-07-02': 33.290000915527344}, '12_months_later': {'2019-01-02': 32.950000762939446}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USB | {'date': '2018-01-02', 'ticker': 'USB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/us-bancorps-series-b-preferred-stock-crosses-above-4-yield-territory-2018-01-02', 'news_author': None, 'news_article': 'In trading on Tuesday, shares of US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) were yielding above the 4% mark based on its quarterly dividend (annualized to $0.8944), with shares changing hands as low as $22.35 on the day. This compares to an average yield of 5.48% in the "Financial" preferred stock category, according to Preferred Stock Channel . As of last close, USB.PRH was trading at a 9.68% discount to its liquidation preference amount, versus the average premium of 6.48% in the "Financial" category. Investors should keep in mind that the shares are not cumulative , meaning that in the event of a missed payment, the company does not have to pay the balance of missed dividends to preferred shareholders before resuming a common dividend.\nBelow is a dividend history chart for USB.PRH, showing historical dividend payments on US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock:\nIn Tuesday trading, US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) is currently down about 1% on the day, while the common shares (Symbol: USB) are up about 0.7%.\nClick here to find out the 50 highest yielding preferreds »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'In trading on Tuesday, shares of US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) were yielding above the 4% mark based on its quarterly dividend (annualized to $0.8944), with shares changing hands as low as $22.35 on the day. As of last close, USB.PRH was trading at a 9.68% discount to its liquidation preference amount, versus the average premium of 6.48% in the "Financial" category. Below is a dividend history chart for USB.PRH, showing historical dividend payments on US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock: In Tuesday trading, US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) is currently down about 1% on the day, while the common shares (Symbol: USB) are up about 0.7%.', 'news_luhn_summary': 'In trading on Tuesday, shares of US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) were yielding above the 4% mark based on its quarterly dividend (annualized to $0.8944), with shares changing hands as low as $22.35 on the day. Below is a dividend history chart for USB.PRH, showing historical dividend payments on US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock: In Tuesday trading, US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) is currently down about 1% on the day, while the common shares (Symbol: USB) are up about 0.7%. As of last close, USB.PRH was trading at a 9.68% discount to its liquidation preference amount, versus the average premium of 6.48% in the "Financial" category.', 'news_article_title': "US Bancorp's Series B Preferred Stock Crosses Above 4% Yield Territory", 'news_lexrank_summary': 'As of last close, USB.PRH was trading at a 9.68% discount to its liquidation preference amount, versus the average premium of 6.48% in the "Financial" category. Below is a dividend history chart for USB.PRH, showing historical dividend payments on US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock: In Tuesday trading, US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) is currently down about 1% on the day, while the common shares (Symbol: USB) are up about 0.7%. In trading on Tuesday, shares of US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) were yielding above the 4% mark based on its quarterly dividend (annualized to $0.8944), with shares changing hands as low as $22.35 on the day.', 'news_textrank_summary': 'In trading on Tuesday, shares of US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) were yielding above the 4% mark based on its quarterly dividend (annualized to $0.8944), with shares changing hands as low as $22.35 on the day. Below is a dividend history chart for USB.PRH, showing historical dividend payments on US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock: In Tuesday trading, US Bancorp\'s Series B Non-Cumulative Perpetual Preferred Stock (Symbol: USB.PRH) is currently down about 1% on the day, while the common shares (Symbol: USB) are up about 0.7%. As of last close, USB.PRH was trading at a 9.68% discount to its liquidation preference amount, versus the average premium of 6.48% in the "Financial" category.'}, {'news_url': 'https://seekingalpha.com/news/3320666-u-s-bancorp-handing-raises-bonuses-post-tax-reform?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'U.S. Bancorp handing out raises, bonuses post-tax reform', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 53.790000915527344, 'high': 54.34000015258789, 'open': 54.04999923706055, 'close': 54.02999877929688, 'ema_50': 53.865329150524225, 'rsi_14': 36.283145509832806, 'target': 54.56000137329102, 'volume': 5367700.0, 'ema_200': 52.4303345100372, 'adj_close': 49.86758041381836, 'rsi_lag_1': 28.605763499548146, 'rsi_lag_2': 38.82351040425975, 'rsi_lag_3': 44.14413717793082, 'rsi_lag_4': 41.214729541085894, 'rsi_lag_5': 38.22935015792256, 'macd_lag_1': 0.07042101872738726, 'macd_lag_2': 0.1392797517001938, 'macd_lag_3': 0.18747002869615415, 'macd_lag_4': 0.23403343603441584, 'macd_lag_5': 0.2961703839753014, 'macd_12_26_9': 0.05156654268277805, 'macds_12_26_9': 0.20075386223376673}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 54.56000137329102, '2018-01-04': 54.97999954223633, '2018-01-05': 55.31999969482422, '2018-01-08': 55.4000015258789, '2018-01-09': 55.77999877929688, '2018-01-10': 56.20000076293945, '2018-01-11': 56.68000030517578, '2018-01-12': 56.97999954223633, '2018-01-16': 57.16999816894531}, '1_month_later': {'2018-02-02': 56.9000015258789}, '3_months_later': {'2018-04-02': 49.68000030517578}, '6_months_later': {'2018-07-02': 50.40999984741211}, '12_months_later': {'2019-01-02': 46.34999847412109}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USAS | {'date': '2018-01-02', 'ticker': 'USAS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.740000009536743, 'high': 4.070000171661377, 'open': 3.799999952316284, 'close': 4.070000171661377, 'ema_50': 3.7536210158073984, 'rsi_14': 72.51462893350615, 'target': 4.110000133514403, 'volume': 48800.0, 'ema_200': 3.5482481474668828, 'adj_close': 4.070000171661377, 'rsi_lag_1': 57.664228241471086, 'rsi_lag_2': 64.7540994819475, 'rsi_lag_3': 56.39098296973587, 'rsi_lag_4': 59.52381357854884, 'rsi_lag_5': 58.19672627719607, 'macd_lag_1': -0.0012398776774884546, 'macd_lag_2': 0.0028612813285580074, 'macd_lag_3': -0.009254865763886677, 'macd_lag_4': -0.020512135707550616, 'macd_lag_5': -0.043745774995321174, 'macd_12_26_9': 0.031458551937645574, 'macds_12_26_9': -0.026818258012544963}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 4.110000133514403, '2018-01-04': 4.170000076293944, '2018-01-05': 4.199999809265137, '2018-01-08': 4.2100000381469735, '2018-01-09': 4.059999942779541, '2018-01-10': 4.059999942779541, '2018-01-11': 4.070000171661377, '2018-01-12': 4.099999904632568, '2018-01-16': 4.230000019073486}, '1_month_later': {'2018-02-02': 3.7899999618530273}, '3_months_later': {'2018-04-02': 3.380000114440918}, '6_months_later': {'2018-07-02': 3.0299999713897705}, '12_months_later': {'2019-01-02': 1.690000057220459}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USAP | {'date': '2018-01-02', 'ticker': 'USAP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.229999542236328, 'high': 22.34000015258789, 'open': 21.420000076293945, 'close': 22.1200008392334, 'ema_50': 20.97949422873329, 'rsi_14': 70.45456023255784, 'target': 22.3700008392334, 'volume': 18500.0, 'ema_200': 19.02023645819297, 'adj_close': 22.1200008392334, 'rsi_lag_1': 59.11329887264405, 'rsi_lag_2': 45.180727044597496, 'rsi_lag_3': 46.666666666666664, 'rsi_lag_4': 48.330057613939765, 'rsi_lag_5': 52.38095238095237, 'macd_lag_1': 0.14993775874420123, 'macd_lag_2': 0.1521034562272554, 'macd_lag_3': 0.16792794826540103, 'macd_lag_4': 0.17651951422855205, 'macd_lag_5': 0.18389971491022195, 'macd_12_26_9': 0.20237281150627595, 'macds_12_26_9': 0.1637612622190075}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 22.3700008392334, '2018-01-04': 22.39999961853028, '2018-01-05': 22.020000457763672, '2018-01-08': 21.850000381469727, '2018-01-09': 22.040000915527344, '2018-01-10': 22.07999992370605, '2018-01-11': 22.60000038146973, '2018-01-12': 22.86000061035156, '2018-01-16': 22.68000030517578}, '1_month_later': {'2018-02-02': 25.56999969482422}, '3_months_later': {'2018-04-02': 27.96999931335449}, '6_months_later': {'2018-07-02': 23.729999542236328}, '12_months_later': {'2019-01-02': 16.760000228881836}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USAC | {'date': '2018-01-02', 'ticker': 'USAC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.420000076293945, 'high': 16.979999542236328, 'open': 16.549999237060547, 'close': 16.940000534057614, 'ema_50': 16.61073088862659, 'rsi_14': 51.30893450783755, 'target': 17.559999465942386, 'volume': 99500.0, 'ema_200': 16.520702881727825, 'adj_close': 12.093764305114744, 'rsi_lag_1': 44.64288755348832, 'rsi_lag_2': 50.0, 'rsi_lag_3': 47.8527614540842, 'rsi_lag_4': 45.34882431479365, 'rsi_lag_5': 47.48601982797579, 'macd_lag_1': -0.004391739297016528, 'macd_lag_2': 0.005913445965614272, 'macd_lag_3': 0.004726112631665558, 'macd_lag_4': 0.0041601052060258326, 'macd_lag_5': -0.009859114898294052, 'macd_12_26_9': 0.019493247394752444, 'macds_12_26_9': 0.0121504655223548}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 17.559999465942386, '2018-01-04': 17.459999084472653, '2018-01-05': 17.530000686645508, '2018-01-08': 17.65999984741211, '2018-01-09': 17.6299991607666, '2018-01-10': 17.6299991607666, '2018-01-11': 17.559999465942386, '2018-01-12': 17.450000762939453, '2018-01-16': 17.6200008392334}, '1_month_later': {'2018-02-02': 18.190000534057614}, '3_months_later': {'2018-04-02': 17.049999237060547}, '6_months_later': {'2018-07-02': 16.850000381469727}, '12_months_later': {'2019-01-02': 13.199999809265137}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USA | {'date': '2018-01-02', 'ticker': 'USA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.289999961853027, 'high': 6.349999904632568, 'open': 6.340000152587892, 'close': 6.289999961853027, 'ema_50': 6.136562504672078, 'rsi_14': 74.28576488892426, 'target': 6.329999923706055, 'volume': 875500.0, 'ema_200': 5.837589815443506, 'adj_close': 4.84379243850708, 'rsi_lag_1': 77.14294667173492, 'rsi_lag_2': 80.48788714048139, 'rsi_lag_3': 71.73922733487643, 'rsi_lag_4': 72.3405075594171, 'rsi_lag_5': 66.66672899852654, 'macd_lag_1': 0.055461383148398546, 'macd_lag_2': 0.05426300221744729, 'macd_lag_3': 0.051944152342414895, 'macd_lag_4': 0.04822890537693958, 'macd_lag_5': 0.04482174959349283, 'macd_12_26_9': 0.05497050797667935, 'macds_12_26_9': 0.045025784254222226}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 6.329999923706055, '2018-01-04': 6.380000114440918, '2018-01-05': 6.440000057220459, '2018-01-08': 6.420000076293945, '2018-01-09': 6.429999828338622, '2018-01-10': 6.440000057220459, '2018-01-11': 6.519999980926514, '2018-01-12': 6.619999885559082, '2018-01-16': 6.619999885559082}, '1_month_later': {'2018-02-02': 6.4099998474121085}, '3_months_later': {'2018-04-02': 6.010000228881836}, '6_months_later': {'2018-07-02': 6.440000057220459}, '12_months_later': {'2019-01-02': 5.380000114440918}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
urth | {'date': '2018-01-02', 'ticker': 'urth', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 88.20999908447266, 'high': 88.77999877929688, 'open': 88.41999816894531, 'close': 88.77999877929688, 'ema_50': 86.84057169025047, 'rsi_14': 62.441301941737144, 'target': 89.30999755859375, 'volume': 124400.0, 'ema_200': 82.78708916584154, 'adj_close': 79.46501922607422, 'rsi_lag_1': 57.10454941521544, 'rsi_lag_2': 63.888872833762, 'rsi_lag_3': 64.33916350677988, 'rsi_lag_4': 62.915641445410756, 'rsi_lag_5': 61.34657790444807, 'macd_lag_1': 0.4285769966925841, 'macd_lag_2': 0.4482323738934326, 'macd_lag_3': 0.44949113451690437, 'macd_lag_4': 0.4608502230870357, 'macd_lag_5': 0.48086373617819334, 'macd_12_26_9': 0.46174056368251115, 'macds_12_26_9': 0.4690867592858587}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 89.30999755859375, '2018-01-04': 89.70999908447266, '2018-01-05': 90.41999816894533, '2018-01-08': 90.1999969482422, '2018-01-09': 90.41000366210938, '2018-01-10': 90.1999969482422, '2018-01-11': 90.83000183105467, '2018-01-12': 91.6500015258789, '2018-01-16': 91.48999786376952}, '1_month_later': {'2018-02-02': 90.72000122070312}, '3_months_later': {'2018-04-02': 85.29000091552734}, '6_months_later': {'2018-07-02': 87.29000091552734}, '12_months_later': {'2019-01-02': 78.87999725341797}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USCR | {'date': '2018-01-02', 'ticker': 'USCR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.investors.com/research/ibd-stock-analysis/ipo-stock-with-302-growth-nears-new-breakout/?src=A00237A&ven=BenzingaCP&src=AURLAAM', 'news_author': None, 'news_article': None, 'news_publisher': "Investor's Business Daily", 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'IPO Stock With 302% Growth Nears New Breakout', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 83.0999984741211, 'high': 84.58000183105469, 'open': 83.75, 'close': 83.5999984741211, 'ema_50': 79.42570008962372, 'rsi_14': 54.43038316973581, 'target': 83.0999984741211, 'volume': 382800.0, 'ema_200': 74.20252607930122, 'adj_close': 83.5999984741211, 'rsi_lag_1': 46.53679732317048, 'rsi_lag_2': 52.03882787507692, 'rsi_lag_3': 52.40847954144808, 'rsi_lag_4': 48.269585460949145, 'rsi_lag_5': 44.96123939313738, 'macd_lag_1': 1.0203466377292898, 'macd_lag_2': 0.8614195349864531, 'macd_lag_3': 0.6918596694270178, 'macd_lag_4': 0.501012417740867, 'macd_lag_5': 0.2857706805139202, 'macd_12_26_9': 1.129245444721164, 'macds_12_26_9': 0.7568726470563636}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 83.0999984741211, '2018-01-04': 84.1500015258789, '2018-01-05': 84.19999694824219, '2018-01-08': 84.3499984741211, '2018-01-09': 83.0999984741211, '2018-01-10': 82.75, '2018-01-11': 82.55000305175781, '2018-01-12': 81.69999694824219, '2018-01-16': 79.44999694824219}, '1_month_later': {'2018-02-02': 78.0}, '3_months_later': {'2018-04-02': 59.29999923706055}, '6_months_later': {'2018-07-02': 52.20000076293945}, '12_months_later': {'2019-01-02': 31.79999923706055}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
URI | {'date': '2018-01-02', 'ticker': 'URI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 171.6999969482422, 'high': 173.9600067138672, 'open': 172.9199981689453, 'close': 173.5800018310547, 'ema_50': 156.86721977854378, 'rsi_14': 69.86968528763983, 'target': 175.19000244140625, 'volume': 813300.0, 'ema_200': 132.24900972214064, 'adj_close': 173.5800018310547, 'rsi_lag_1': 67.14347887051926, 'rsi_lag_2': 73.52813695268858, 'rsi_lag_3': 75.85260170927083, 'rsi_lag_4': 72.33957832990369, 'rsi_lag_5': 69.47999909668025, 'macd_lag_1': 5.139711346474712, 'macd_lag_2': 5.214706731251482, 'macd_lag_3': 5.089996201801256, 'macd_lag_4': 5.046165788876181, 'macd_lag_5': 5.0043871670493445, 'macd_12_26_9': 5.155601296705328, 'macds_12_26_9': 5.006719708474018}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 175.19000244140625, '2018-01-04': 172.0, '2018-01-05': 171.3800048828125, '2018-01-08': 172.4499969482422, '2018-01-09': 172.42999267578125, '2018-01-10': 173.1999969482422, '2018-01-11': 179.99000549316406, '2018-01-12': 180.88999938964844, '2018-01-16': 178.97000122070312}, '1_month_later': {'2018-02-02': 173.3000030517578}, '3_months_later': {'2018-04-02': 166.60000610351562}, '6_months_later': {'2018-07-02': 144.75}, '12_months_later': {'2019-01-02': 105.62000274658205}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
URBN | {'date': '2018-01-02', 'ticker': 'URBN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/trading-ideas/long-ideas/18/01/10973830/5-hot-stocks-to-start-2018', 'news_author': None, 'news_article': None, 'news_publisher': 'VantagePoint', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '5 Hot Stocks To Start 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.0099983215332, 'high': 35.9900016784668, 'open': 35.060001373291016, 'close': 35.84000015258789, 'ema_50': 30.401661968713984, 'rsi_14': 79.50415203314067, 'target': 35.630001068115234, 'volume': 2572500.0, 'ema_200': 25.72680929389567, 'adj_close': 35.84000015258789, 'rsi_lag_1': 66.17407557740398, 'rsi_lag_2': 71.16278464587494, 'rsi_lag_3': 70.39877040380202, 'rsi_lag_4': 75.4601334676669, 'rsi_lag_5': 72.36616104882485, 'macd_lag_1': 1.7236391644708249, 'macd_lag_2': 1.7945799932707445, 'macd_lag_3': 1.8386599801249446, 'macd_lag_4': 1.8641051067815226, 'macd_lag_5': 1.8358678986353567, 'macd_12_26_9': 1.7106382563296592, 'macds_12_26_9': 1.7882480762426767}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 35.630001068115234, '2018-01-04': 34.34999847412109, '2018-01-05': 34.2599983215332, '2018-01-08': 33.740001678466804, '2018-01-09': 32.36999893188477, '2018-01-10': 32.939998626708984, '2018-01-11': 34.240001678466804, '2018-01-12': 34.639999389648445, '2018-01-16': 33.310001373291016}, '1_month_later': {'2018-02-02': 32.61999893188477}, '3_months_later': {'2018-04-02': 36.90999984741211}, '6_months_later': {'2018-07-02': 45.09999847412109}, '12_months_later': {'2019-01-02': 33.189998626708984}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
URA | {'date': '2018-01-02', 'ticker': 'URA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.119999885559082, 'high': 15.739999771118164, 'open': 15.140000343322756, 'close': 15.68000030517578, 'ema_50': 14.6776541206736, 'rsi_14': 38.823540411463476, 'target': 15.710000038146973, 'volume': 608300.0, 'ema_200': 14.082135132859431, 'adj_close': 15.14194679260254, 'rsi_lag_1': 38.33992109760715, 'rsi_lag_2': 41.353385345615436, 'rsi_lag_3': 47.014928559838104, 'rsi_lag_4': 41.311480330702956, 'rsi_lag_5': 39.13042705638162, 'macd_lag_1': 0.22363075861687953, 'macd_lag_2': 0.27444022700353976, 'macd_lag_3': 0.3464997891328032, 'macd_lag_4': 0.4191794165429936, 'macd_lag_5': 0.48650238600187556, 'macd_12_26_9': 0.23153069127655357, 'macds_12_26_9': 0.3821607781410438}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 15.710000038146973, '2018-01-04': 15.829999923706056, '2018-01-05': 15.829999923706056, '2018-01-08': 15.640000343322756, '2018-01-09': 15.079999923706056, '2018-01-10': 15.210000038146973, '2018-01-11': 15.220000267028809, '2018-01-12': 15.279999732971191, '2018-01-16': 14.539999961853027}, '1_month_later': {'2018-02-02': 13.550000190734863}, '3_months_later': {'2018-04-02': 12.100000381469728}, '6_months_later': {'2018-07-02': 12.770000457763672}, '12_months_later': {'2019-01-02': 11.649999618530272}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UPV | {'date': '2018-01-02', 'ticker': 'UPV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 58.4000015258789, 'high': 58.61000061035156, 'open': 58.4000015258789, 'close': 58.59999847412109, 'ema_50': 56.4514068005607, 'rsi_14': 67.93045802870002, 'target': 59.45000076293945, 'volume': 600.0, 'ema_200': 52.01226102544508, 'adj_close': 55.92491912841797, 'rsi_lag_1': 68.03796589708776, 'rsi_lag_2': 71.18400939471466, 'rsi_lag_3': 68.73063863710189, 'rsi_lag_4': 61.061948894300265, 'rsi_lag_5': 56.37682144944171, 'macd_lag_1': 0.6026482417297956, 'macd_lag_2': 0.5395537896007312, 'macd_lag_3': 0.47764721490526085, 'macd_lag_4': 0.44768424057786405, 'macd_lag_5': 0.4334741958013737, 'macd_12_26_9': 0.6444155396047861, 'macds_12_26_9': 0.47560102264008325}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 59.45000076293945, '2018-01-04': 60.5, '2018-01-05': 61.34000015258789, '2018-01-08': 61.31999969482422, '2018-01-09': 61.31999969482422, '2018-01-10': 61.27000045776367, '2018-01-11': 61.77999877929688, '2018-01-12': 62.54999923706055, '2018-01-16': 63.54999923706055}, '1_month_later': {'2018-02-02': 62.0}, '3_months_later': {'2018-04-02': 53.72000122070313}, '6_months_later': {'2018-07-02': 52.70000076293945}, '12_months_later': {'2019-01-02': 37.43999862670898}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UPS | {'date': '2018-01-02', 'ticker': 'UPS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/noteworthy-etf-outflows-vug-bmy-pypl-ups-2018-01-02', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Vanguard Growth ETF (Symbol: VUG) where we have detected an approximate $91.2 million dollar outflow -- that's a 0.3% decrease week over week (from 224,075,067 to 223,426,344). Among the largest underlying components of VUG, in trading today Bristol-Myers Squibb Co. (Symbol: BMY) is down about 0.1%, PayPal Holdings Inc (Symbol: PYPL) is up about 0.8%, and United Parcel Service Inc (Symbol: UPS) is up by about 1.4%. For a complete list of holdings, visit the VUG Holdings page » The chart below shows the one year price performance of VUG, versus its 200 day moving average:\nLooking at the chart above, VUG's low point in its 52 week range is $111.09 per share, with $142.74 as the 52 week high point - that compares with a last trade of $141.85. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average » .\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs experienced notable outflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Among the largest underlying components of VUG, in trading today Bristol-Myers Squibb Co. (Symbol: BMY) is down about 0.1%, PayPal Holdings Inc (Symbol: PYPL) is up about 0.8%, and United Parcel Service Inc (Symbol: UPS) is up by about 1.4%. For a complete list of holdings, visit the VUG Holdings page » The chart below shows the one year price performance of VUG, versus its 200 day moving average: Looking at the chart above, VUG's low point in its 52 week range is $111.09 per share, with $142.74 as the 52 week high point - that compares with a last trade of $141.85. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "Among the largest underlying components of VUG, in trading today Bristol-Myers Squibb Co. (Symbol: BMY) is down about 0.1%, PayPal Holdings Inc (Symbol: PYPL) is up about 0.8%, and United Parcel Service Inc (Symbol: UPS) is up by about 1.4%. For a complete list of holdings, visit the VUG Holdings page » The chart below shows the one year price performance of VUG, versus its 200 day moving average: Looking at the chart above, VUG's low point in its 52 week range is $111.09 per share, with $142.74 as the 52 week high point - that compares with a last trade of $141.85. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed).", 'news_article_title': 'Noteworthy ETF Outflows: VUG, BMY, PYPL, UPS', 'news_lexrank_summary': "Among the largest underlying components of VUG, in trading today Bristol-Myers Squibb Co. (Symbol: BMY) is down about 0.1%, PayPal Holdings Inc (Symbol: PYPL) is up about 0.8%, and United Parcel Service Inc (Symbol: UPS) is up by about 1.4%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Vanguard Growth ETF (Symbol: VUG) where we have detected an approximate $91.2 million dollar outflow -- that's a 0.3% decrease week over week (from 224,075,067 to 223,426,344). For a complete list of holdings, visit the VUG Holdings page » The chart below shows the one year price performance of VUG, versus its 200 day moving average: Looking at the chart above, VUG's low point in its 52 week range is $111.09 per share, with $142.74 as the 52 week high point - that compares with a last trade of $141.85.", 'news_textrank_summary': "Among the largest underlying components of VUG, in trading today Bristol-Myers Squibb Co. (Symbol: BMY) is down about 0.1%, PayPal Holdings Inc (Symbol: PYPL) is up about 0.8%, and United Parcel Service Inc (Symbol: UPS) is up by about 1.4%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Vanguard Growth ETF (Symbol: VUG) where we have detected an approximate $91.2 million dollar outflow -- that's a 0.3% decrease week over week (from 224,075,067 to 223,426,344). For a complete list of holdings, visit the VUG Holdings page » The chart below shows the one year price performance of VUG, versus its 200 day moving average: Looking at the chart above, VUG's low point in its 52 week range is $111.09 per share, with $142.74 as the 52 week high point - that compares with a last trade of $141.85."}, {'news_url': 'https://www.nasdaq.com/articles/notable-tuesday-option-activity-ups-ip-tsro-2018-01-02', 'news_author': None, 'news_article': "Looking at options trading activity among components of the Russell 3000 index, there is noteworthy activity today in United Parcel Service Inc (Symbol: UPS), where a total volume of 14,043 contracts has been traded thus far today, a contract volume which is representative of approximately 1.4 million underlying shares (given that every 1 contract represents 100 underlying shares). That number works out to 49.2% of UPS's average daily trading volume over the past month, of 2.9 million shares. Particularly high volume was seen for the $125 strike call option expiring February 16, 2018 , with 1,211 contracts trading so far today, representing approximately 121,100 underlying shares of UPS. Below is a chart showing UPS's trailing twelve month trading history, with the $125 strike highlighted in orange:\nInternational Paper Co (Symbol: IP) options are showing a volume of 9,905 contracts thus far today. That number of contracts represents approximately 990,500 underlying shares, working out to a sizeable 48.7% of IP's average daily trading volume over the past month, of 2.0 million shares. Particularly high volume was seen for the $58 strike put option expiring January 26, 2018 , with 2,000 contracts trading so far today, representing approximately 200,000 underlying shares of IP. Below is a chart showing IP's trailing twelve month trading history, with the $58 strike highlighted in orange:\nAnd Tesaro Inc (Symbol: TSRO) options are showing a volume of 3,578 contracts thus far today. That number of contracts represents approximately 357,800 underlying shares, working out to a sizeable 48.1% of TSRO's average daily trading volume over the past month, of 743,220 shares. Especially high volume was seen for the $160 strike call option expiring January 18, 2019 , with 329 contracts trading so far today, representing approximately 32,900 underlying shares of TSRO. Below is a chart showing TSRO's trailing twelve month trading history, with the $160 strike highlighted in orange:\nFor the various different available expirations for UPS options , IP options , or TSRO options , visit StockOptionsChannel.com.\nToday's Most Active Call & Put Options of the S&P 500 »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Particularly high volume was seen for the $125 strike call option expiring February 16, 2018 , with 1,211 contracts trading so far today, representing approximately 121,100 underlying shares of UPS. Looking at options trading activity among components of the Russell 3000 index, there is noteworthy activity today in United Parcel Service Inc (Symbol: UPS), where a total volume of 14,043 contracts has been traded thus far today, a contract volume which is representative of approximately 1.4 million underlying shares (given that every 1 contract represents 100 underlying shares). That number works out to 49.2% of UPS's average daily trading volume over the past month, of 2.9 million shares.", 'news_luhn_summary': "Below is a chart showing UPS's trailing twelve month trading history, with the $125 strike highlighted in orange: International Paper Co (Symbol: IP) options are showing a volume of 9,905 contracts thus far today. Looking at options trading activity among components of the Russell 3000 index, there is noteworthy activity today in United Parcel Service Inc (Symbol: UPS), where a total volume of 14,043 contracts has been traded thus far today, a contract volume which is representative of approximately 1.4 million underlying shares (given that every 1 contract represents 100 underlying shares). That number works out to 49.2% of UPS's average daily trading volume over the past month, of 2.9 million shares.", 'news_article_title': 'Notable Tuesday Option Activity: UPS, IP, TSRO', 'news_lexrank_summary': "Looking at options trading activity among components of the Russell 3000 index, there is noteworthy activity today in United Parcel Service Inc (Symbol: UPS), where a total volume of 14,043 contracts has been traded thus far today, a contract volume which is representative of approximately 1.4 million underlying shares (given that every 1 contract represents 100 underlying shares). Below is a chart showing TSRO's trailing twelve month trading history, with the $160 strike highlighted in orange: For the various different available expirations for UPS options , IP options , or TSRO options , visit StockOptionsChannel.com. That number works out to 49.2% of UPS's average daily trading volume over the past month, of 2.9 million shares.", 'news_textrank_summary': "Looking at options trading activity among components of the Russell 3000 index, there is noteworthy activity today in United Parcel Service Inc (Symbol: UPS), where a total volume of 14,043 contracts has been traded thus far today, a contract volume which is representative of approximately 1.4 million underlying shares (given that every 1 contract represents 100 underlying shares). Particularly high volume was seen for the $125 strike call option expiring February 16, 2018 , with 1,211 contracts trading so far today, representing approximately 121,100 underlying shares of UPS. That number works out to 49.2% of UPS's average daily trading volume over the past month, of 2.9 million shares."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 119.61000061035156, 'high': 123.70999908447266, 'open': 120.04000091552734, 'close': 123.66999816894533, 'ema_50': 117.79076815058244, 'rsi_14': 75.77980855108623, 'target': 126.41000366210938, 'volume': 5413000.0, 'ema_200': 114.10593981933339, 'adj_close': 113.38008880615234, 'rsi_lag_1': 47.40179682582038, 'rsi_lag_2': 45.72864080787238, 'rsi_lag_3': 54.2155852932674, 'rsi_lag_4': 40.075260389752124, 'rsi_lag_5': 31.323531061719606, 'macd_lag_1': 0.5021369849207531, 'macd_lag_2': 0.4944696374969766, 'macd_lag_3': 0.48767269124118684, 'macd_lag_4': 0.46884947407370703, 'macd_lag_5': 0.5214954534664287, 'macd_12_26_9': 0.8629913399284845, 'macds_12_26_9': 0.6036847837065952}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 126.41000366210938, '2018-01-04': 127.2300033569336, '2018-01-05': 127.62000274658205, '2018-01-08': 129.16999816894528, '2018-01-09': 129.11000061035156, '2018-01-10': 129.78999328613278, '2018-01-11': 133.46000671386722, '2018-01-12': 134.08999633789062, '2018-01-16': 132.8800048828125}, '1_month_later': {'2018-02-02': 116.47000122070312}, '3_months_later': {'2018-04-02': 103.83999633789062}, '6_months_later': {'2018-07-02': 105.87999725341795}, '12_months_later': {'2019-01-02': 97.20999908447266}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UPRO | {'date': '2018-01-02', 'ticker': 'UPRO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 46.93333435058594, 'high': 47.67333221435547, 'open': 47.1533317565918, 'close': 47.67333221435547, 'ema_50': 44.09998689699814, 'rsi_14': 66.29214471679742, 'target': 48.5433349609375, 'volume': 4046400.0, 'ema_200': 38.06908675788736, 'adj_close': 47.04629135131836, 'rsi_lag_1': 62.86645363982166, 'rsi_lag_2': 73.15560569296042, 'rsi_lag_3': 74.1183496147792, 'rsi_lag_4': 73.6457763769655, 'rsi_lag_5': 69.98265183942796, 'macd_lag_1': 1.0405034557024493, 'macd_lag_2': 1.1098574790455658, 'macd_lag_3': 1.1357382469855608, 'macd_lag_4': 1.1743123468662873, 'macd_lag_5': 1.2166476812155977, 'macd_12_26_9': 1.0506238284990062, 'macds_12_26_9': 1.1118390964833842}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 48.5433349609375, '2018-01-04': 49.15666580200195, '2018-01-05': 50.11666488647461, '2018-01-08': 50.36666488647461, '2018-01-09': 50.72333145141602, '2018-01-10': 50.48666763305664, '2018-01-11': 51.52999877929688, '2018-01-12': 52.54666519165039, '2018-01-16': 52.0}, '1_month_later': {'2018-02-02': 50.93333435058594}, '3_months_later': {'2018-04-02': 40.58666610717773}, '6_months_later': {'2018-07-02': 47.13999938964844}, '12_months_later': {'2019-01-02': 34.84999847412109}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UONEK | {'date': '2018-01-02', 'ticker': 'UONEK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.7000000476837158, 'high': 1.8999999761581416, 'open': 1.75, 'close': 1.7000000476837158, 'ema_50': 1.6456476838782053, 'rsi_14': 59.090910076109715, 'target': 1.7999999523162842, 'volume': 45600.0, 'ema_200': 1.9654758153675107, 'adj_close': 1.7000000476837158, 'rsi_lag_1': 63.6363596955612, 'rsi_lag_2': 58.33333498901784, 'rsi_lag_3': 63.6363665919658, 'rsi_lag_4': 60.0000023841858, 'rsi_lag_5': 73.6842085449978, 'macd_lag_1': 0.053336551831627554, 'macd_lag_2': 0.051503927981847886, 'macd_lag_3': 0.048415685497483985, 'macd_lag_4': 0.03358791632812519, 'macd_lag_5': 0.02435556005108719, 'macd_12_26_9': 0.050175944100878, 'macds_12_26_9': 0.028925571386484498}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 1.7999999523162842, '2018-01-04': 1.75, '2018-01-05': 1.7999999523162842, '2018-01-08': 1.7999999523162842, '2018-01-09': 1.8999999761581416, '2018-01-10': 1.850000023841858, '2018-01-11': 1.950000047683716, '2018-01-12': 1.8999999761581416, '2018-01-16': 2.0}, '1_month_later': {'2018-02-02': 1.850000023841858}, '3_months_later': {'2018-04-02': 1.850000023841858}, '6_months_later': {'2018-07-02': 2.0999999046325684}, '12_months_later': {'2019-01-02': 1.820000052452088}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UNVR | {'date': '2018-01-02', 'ticker': 'UNVR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.51000022888184, 'high': 31.14999961853028, 'open': 30.979999542236328, 'close': 30.8700008392334, 'ema_50': 29.91506499304839, 'rsi_14': 66.14175741285229, 'target': 30.85000038146973, 'volume': 673600.0, 'ema_200': 28.951356838818487, 'adj_close': 30.8700008392334, 'rsi_lag_1': 68.65384389662749, 'rsi_lag_2': 67.4858417995292, 'rsi_lag_3': 69.71832664921172, 'rsi_lag_4': 62.06898510412995, 'rsi_lag_5': 56.56250745058767, 'macd_lag_1': 0.42645990131416056, 'macd_lag_2': 0.4285619920943411, 'macd_lag_3': 0.4107567178381508, 'macd_lag_4': 0.40038337387323253, 'macd_lag_5': 0.3782648413159464, 'macd_12_26_9': 0.41277367499932893, 'macds_12_26_9': 0.3427590471838198}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 30.85000038146973, '2018-01-04': 30.920000076293945, '2018-01-05': 30.76000022888184, '2018-01-08': 30.95000076293945, '2018-01-09': 31.3700008392334, '2018-01-10': 31.3799991607666, '2018-01-11': 31.57999992370605, '2018-01-12': 31.64999961853028, '2018-01-16': 31.0}, '1_month_later': {'2018-02-02': 28.5}, '3_months_later': {'2018-04-02': 27.36000061035156}, '6_months_later': {'2018-07-02': 25.85000038146973}, '12_months_later': {'2019-01-02': 17.799999237060547}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
usd | {'date': '2018-01-02', 'ticker': 'usd', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.25333309173584, 'high': 10.69166660308838, 'open': 10.383333206176758, 'close': 10.689167022705078, 'ema_50': 10.096369923542612, 'rsi_14': 66.49027597359347, 'target': 10.957500457763672, 'volume': 181200.0, 'ema_200': 8.370526528733143, 'adj_close': 10.437321662902832, 'rsi_lag_1': 59.881741450177486, 'rsi_lag_2': 61.97550130296255, 'rsi_lag_3': 64.4752527251512, 'rsi_lag_4': 64.5764924008277, 'rsi_lag_5': 70.42625633311825, 'macd_lag_1': 0.015382254280972063, 'macd_lag_2': 0.027298473379847366, 'macd_lag_3': 0.02709264771465314, 'macd_lag_4': 0.02753893617727421, 'macd_lag_5': 0.0342413657824121, 'macd_12_26_9': 0.04442741435158659, 'macds_12_26_9': 0.012315521445247786}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 10.957500457763672, '2018-01-04': 10.98916721343994, '2018-01-05': 11.071666717529297, '2018-01-08': 11.28499984741211, '2018-01-09': 11.00749969482422, '2018-01-10': 10.710000038146973, '2018-01-11': 10.859167098999023, '2018-01-12': 10.900833129882812, '2018-01-16': 10.993332862854004}, '1_month_later': {'2018-02-02': 10.790833473205566}, '3_months_later': {'2018-04-02': 10.262499809265137}, '6_months_later': {'2018-07-02': 10.984999656677246}, '12_months_later': {'2019-01-02': 7.552499771118164}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
usdp | {'date': '2018-01-02', 'ticker': 'usdp', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.100000381469728, 'high': 11.359999656677246, 'open': 11.300000190734863, 'close': 11.300000190734863, 'ema_50': 10.625589188435868, 'rsi_14': 78.94741333097775, 'target': 11.550000190734863, 'volume': 53800.0, 'ema_200': 11.345147143518851, 'adj_close': 6.213383674621582, 'rsi_lag_1': 69.04764607923599, 'rsi_lag_2': 74.50982958757106, 'rsi_lag_3': 75.2475400845731, 'rsi_lag_4': 68.62745978016115, 'rsi_lag_5': 64.83517773355715, 'macd_lag_1': 0.1943784018131467, 'macd_lag_2': 0.16496579872237582, 'macd_lag_3': 0.1402978075918213, 'macd_lag_4': 0.10168095393768795, 'macd_lag_5': 0.06618549892130865, 'macd_12_26_9': 0.2191959447854721, 'macds_12_26_9': 0.11619162799869301}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 11.550000190734863, '2018-01-04': 11.75, '2018-01-05': 11.550000190734863, '2018-01-08': 11.699999809265137, '2018-01-09': 11.550000190734863, '2018-01-10': 11.5, '2018-01-11': 11.550000190734863, '2018-01-12': 11.649999618530272, '2018-01-16': 11.850000381469728}, '1_month_later': {'2018-02-02': 11.25}, '3_months_later': {'2018-04-02': 10.800000190734863}, '6_months_later': {'2018-07-02': 10.75}, '12_months_later': {'2019-01-02': 10.520000457763672}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USDU | {'date': '2018-01-02', 'ticker': 'USDU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.709999084472656, 'high': 25.84000015258789, 'open': 25.84000015258789, 'close': 25.79999923706055, 'ema_50': 26.006034424065156, 'rsi_14': 35.454427230088044, 'target': 25.739999771118164, 'volume': 68600.0, 'ema_200': 26.24048499376515, 'adj_close': 24.82399559020996, 'rsi_lag_1': 37.14277929155352, 'rsi_lag_2': 42.47784175017722, 'rsi_lag_3': 49.54127156058647, 'rsi_lag_4': 54.46432980982603, 'rsi_lag_5': 54.05408656324526, 'macd_lag_1': -0.027051916476377613, 'macd_lag_2': -0.019746797841349917, 'macd_lag_3': -0.011153789028373495, 'macd_lag_4': -0.010205605143593033, 'macd_lag_5': -0.01291975303680104, 'macd_12_26_9': -0.03964651542563047, 'macds_12_26_9': -0.019720100476539066}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 25.739999771118164, '2018-01-04': 25.770000457763672, '2018-01-05': 25.690000534057614, '2018-01-08': 25.729999542236328, '2018-01-09': 25.790000915527344, '2018-01-10': 25.729999542236328, '2018-01-11': 25.709999084472656, '2018-01-12': 25.479999542236328, '2018-01-16': 25.270000457763672}, '1_month_later': {'2018-02-02': 25.059999465942383}, '3_months_later': {'2018-04-02': 25.290000915527344}, '6_months_later': {'2018-07-02': 26.770000457763672}, '12_months_later': {'2019-01-02': 27.170000076293945}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USTB | {'date': '2018-01-02', 'ticker': 'USTB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.040000915527344, 'high': 50.08000183105469, 'open': 50.08000183105469, 'close': 50.06000137329102, 'ema_50': 50.06997507182498, 'rsi_14': 49.091060417953344, 'target': 50.06000137329102, 'volume': 3100.0, 'ema_200': 50.12162338098896, 'adj_close': 47.22775650024414, 'rsi_lag_1': 50.0, 'rsi_lag_2': 49.056766736003354, 'rsi_lag_3': 50.90928006658404, 'rsi_lag_4': 50.90893958204793, 'rsi_lag_5': 49.05640006909658, 'macd_lag_1': -0.010397911781218738, 'macd_lag_2': -0.016019686259063803, 'macd_lag_3': -0.02092569091108487, 'macd_lag_4': -0.026883163162764845, 'macd_lag_5': -0.03104122671132359, 'macd_12_26_9': -0.007470371008714949, 'macds_12_26_9': -0.019923026498016715}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 50.06000137329102, '2018-01-04': 50.04999923706055, '2018-01-05': 49.93000030517578, '2018-01-08': 49.95000076293945, '2018-01-09': 49.91999816894531, '2018-01-10': 49.93999862670898, '2018-01-11': 49.95000076293945, '2018-01-12': 49.93999862670898, '2018-01-16': 49.93000030517578}, '1_month_later': {'2018-02-02': 49.77999877929688}, '3_months_later': {'2018-04-02': 49.59000015258789}, '6_months_later': {'2018-07-02': 49.5099983215332}, '12_months_later': {'2019-01-02': 49.5099983215332}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
UST | {'date': '2018-01-02', 'ticker': 'UST', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 56.86000061035156, 'high': 57.31000137329102, 'open': 57.31000137329102, 'close': 57.09000015258789, 'ema_50': 57.77140697286306, 'rsi_14': 39.87732143212368, 'target': 57.13999938964844, 'volume': 285700.0, 'ema_200': 58.27218654095416, 'adj_close': 55.11242294311523, 'rsi_lag_1': 43.47828305767199, 'rsi_lag_2': 37.89471993489591, 'rsi_lag_3': 36.486512609753014, 'rsi_lag_4': 30.3703504858086, 'rsi_lag_5': 33.955214320485425, 'macd_lag_1': -0.2167526319640345, 'macd_lag_2': -0.2413498165847443, 'macd_lag_3': -0.2468341015150699, 'macd_lag_4': -0.2614437913126224, 'macd_lag_5': -0.22945197890701508, 'macd_12_26_9': -0.22053825919061154, 'macds_12_26_9': -0.19672930176286105}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 57.13999938964844, '2018-01-04': 57.04999923706055, '2018-01-05': 56.81999969482422, '2018-01-08': 56.81000137329102, '2018-01-09': 56.34999847412109, '2018-01-10': 56.290000915527344, '2018-01-11': 56.41999816894531, '2018-01-12': 56.2400016784668, '2018-01-16': 56.31000137329102}, '1_month_later': {'2018-02-02': 53.90999984741211}, '3_months_later': {'2018-04-02': 54.88999938964844}, '6_months_later': {'2018-07-02': 53.97999954223633}, '12_months_later': {'2019-01-02': 56.08000183105469}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
usph | {'date': '2018-01-02', 'ticker': 'usph', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 72.6500015258789, 'high': 74.25, 'open': 72.6500015258789, 'close': 73.44999694824219, 'ema_50': 69.43078448276597, 'rsi_14': 67.39131396271979, 'target': 73.5, 'volume': 43600.0, 'ema_200': 65.59671874793077, 'adj_close': 68.40827178955078, 'rsi_lag_1': 58.62073047852316, 'rsi_lag_2': 57.52214898866117, 'rsi_lag_3': 55.5555712539825, 'rsi_lag_4': 56.603779017040985, 'rsi_lag_5': 47.499961852833316, 'macd_lag_1': 0.6376675422904015, 'macd_lag_2': 0.613816319821268, 'macd_lag_3': 0.6049902378584591, 'macd_lag_4': 0.6511070633283822, 'macd_lag_5': 0.6903165913692249, 'macd_12_26_9': 0.7488026306375417, 'macds_12_26_9': 0.7585082697352752}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 73.5, '2018-01-04': 73.6500015258789, '2018-01-05': 73.9000015258789, '2018-01-08': 72.4000015258789, '2018-01-09': 72.3499984741211, '2018-01-10': 72.25, '2018-01-11': 74.80000305175781, '2018-01-12': 74.94999694824219, '2018-01-16': 74.94999694824219}, '1_month_later': {'2018-02-02': 75.0}, '3_months_later': {'2018-04-02': 81.5}, '6_months_later': {'2018-07-02': 97.5500030517578}, '12_months_later': {'2019-01-02': 102.2699966430664}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USO | {'date': '2018-01-02', 'ticker': 'USO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/energy-sector-update-01022018-xom-cvx-cop-slb-oxy-uso-ung-bp-aplp-aroc-rdsa-amgp-2018-01', 'news_author': None, 'news_article': 'Top Energy Stocks\nXOM: +0.4%\nCVX: flat\nCOP: +0.2%\nSLB: +0.6%\nOXY: +0.4%\nEnergy shares were higher in pre-market trading Tuesday. The North Sea\'s Forties Pipeline System is back online after being shut in December due to the discovery of a fault.\n"All restrictions on the flow of oil and gas from platforms feeding into the pipeline system have been lifted and virtually all platforms are now on line," operator Ineos said in a statement on Saturday.\nMeanwhile, anti-government rallies in Iran and OPEC-led supply cuts are seen providing support to crude prices.\nLight, sweet crude oil for February delivery was up 0.1% at $60.48 per barrel, while natural gas was up fractionally at $2.99 per million Btu.\nIn energy ETFs, the United States Oil Fund ( USO ) was up 0.7% at $12.09 while the United States Natural Gas ETF ( UNG ) was up 1.7% at $5.93.\nExpected movers:\n- BP ( BP ): forecasts $1.5 billion charge in Q4 related to US tax reform\n- Archrock Partners LP ( APLP ): Archrock ( AROC ) to buy remaining public stake in company in $607 million stock deal\n- Shell (RDS.A): ends deal to sell A/S Dansk Shell unit to Dansk Olieselskab, says divestment program remains "on track"\nOther news:\n- Antero Midstream (AMGP): discloses 20% increase in long-term distribution targets after drop in federal tax rate\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nCopyright (C) 2016 MTNewswires.com. All rights reserved. Unauthorized reproduction is strictly prohibited.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "In energy ETFs, the United States Oil Fund ( USO ) was up 0.7% at $12.09 while the United States Natural Gas ETF ( UNG ) was up 1.7% at $5.93. The North Sea's Forties Pipeline System is back online after being shut in December due to the discovery of a fault. Light, sweet crude oil for February delivery was up 0.1% at $60.48 per barrel, while natural gas was up fractionally at $2.99 per million Btu.", 'news_luhn_summary': 'In energy ETFs, the United States Oil Fund ( USO ) was up 0.7% at $12.09 while the United States Natural Gas ETF ( UNG ) was up 1.7% at $5.93. Expected movers: - BP ( BP ): forecasts $1.5 billion charge in Q4 related to US tax reform - Archrock Partners LP ( APLP ): Archrock ( AROC ) to buy remaining public stake in company in $607 million stock deal - Shell (RDS.A): ends deal to sell A/S Dansk Shell unit to Dansk Olieselskab, says divestment program remains "on track" Other news: - Antero Midstream (AMGP): discloses 20% increase in long-term distribution targets after drop in federal tax rate The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_article_title': 'Energy Sector Update for 01/02/2018: XOM, CVX, COP, SLB, OXY, USO, UNG, BP, APLP, AROC, RDS.A, AMGP', 'news_lexrank_summary': 'In energy ETFs, the United States Oil Fund ( USO ) was up 0.7% at $12.09 while the United States Natural Gas ETF ( UNG ) was up 1.7% at $5.93. Top Energy Stocks CVX: flat', 'news_textrank_summary': 'In energy ETFs, the United States Oil Fund ( USO ) was up 0.7% at $12.09 while the United States Natural Gas ETF ( UNG ) was up 1.7% at $5.93. "All restrictions on the flow of oil and gas from platforms feeding into the pipeline system have been lifted and virtually all platforms are now on line," operator Ineos said in a statement on Saturday. Expected movers: - BP ( BP ): forecasts $1.5 billion charge in Q4 related to US tax reform - Archrock Partners LP ( APLP ): Archrock ( AROC ) to buy remaining public stake in company in $607 million stock deal - Shell (RDS.A): ends deal to sell A/S Dansk Shell unit to Dansk Olieselskab, says divestment program remains "on track" Other news: - Antero Midstream (AMGP): discloses 20% increase in long-term distribution targets after drop in federal tax rate The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.'}, {'news_url': 'https://www.nasdaq.com/articles/energy-sector-update-01022018-wftslbjonepvac-2018-01-02', 'news_author': None, 'news_article': "Top Energy Stocks\nXOM +1.20%\nCVX +1.39%\nCOP +0.60%\nSLB +3.22%\nOXY +0.24%\nEnergy stocks were sharply higher Tuesday, with the NYSE Energy Sector Index rising nearly 1.3% while shares of energy companies in the S&P 500 were up more than 1.2% as a group. Crude oil for February delivery was falling 13 cents to $60.29 per barrel while February natural gas futures were up 9 cents at $3.03 per 1 million BTU. Among energy-related ETFs, United States Oil ( USO ) was up 0.2% while United States Natural Gas ( UNG ) also was 0.2% higher. Also, the Philadelphia oil-service sector index ( OSX ) was down 0.25%.\nIn industry news:\nCrude oil prices were edging lower Tuesday but were staying above $60 per barrel amid continued unrest in the Middle East. Political demonstrations were underway in Iran for a sixth day while Islamic State was again vowing to take its fight to Iraqi authorities. Supply interruptions in Libya last week also contributed to region concerns. In a more positive development, the Forties pipeline system in the North Sea is back online after it was shut in following the discovery of a fault last month. Closer to home, US crude oil inventories have fallen during each of the past four weeks, suggesting robust demand and slowing production could soon re-balance the global oil markets. Still, the Energy Information Administration is predicting the United States will bypass the Russian Federation as the world's top producer.\nAmong energy stocks moving on news:\n- Weatherford International ( WFT ) tumbled Tuesday, falling almost 19% to a session low of $3.39 a share, after the oilfield-services company last Friday scrapped plans for the OneStim joint venture and instead said it was selling its 30% stake in the pressure-pumping joint venture to majority partner Schlumberger ( SLB ) for $430 million in cash. Weatherford will use sale proceeds to reduce outstanding debt.\nIn other sector news:\n+ Jones Energy (JONE) has reversed a mid-morning decline and was trading over 1% higher, overcoming a downgrade Tuesday to Hold from Buy at SunTrust, which also reduced its price target by $1.50, or 60%, to $1 a share.\n+ Penn Virginia Corp (PVAC) was edging higher after saying the oil and natural gas producer agreed to acquire assets in the Eagle Ford Shale formation in Texas from Hunt Oil Company for $86 million in cash. The transaction is expected to close by March 1, with an effective date of Oct. 1, 2017. Penn Virginia was planning to fund the acquisition with borrowings from its credit facility.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nCopyright (C) 2016 MTNewswires.com. All rights reserved. Unauthorized reproduction is strictly prohibited.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'Among energy-related ETFs, United States Oil ( USO ) was up 0.2% while United States Natural Gas ( UNG ) also was 0.2% higher. In industry news: Crude oil prices were edging lower Tuesday but were staying above $60 per barrel amid continued unrest in the Middle East. In a more positive development, the Forties pipeline system in the North Sea is back online after it was shut in following the discovery of a fault last month.', 'news_luhn_summary': 'Among energy-related ETFs, United States Oil ( USO ) was up 0.2% while United States Natural Gas ( UNG ) also was 0.2% higher. Energy stocks were sharply higher Tuesday, with the NYSE Energy Sector Index rising nearly 1.3% while shares of energy companies in the S&P 500 were up more than 1.2% as a group. Crude oil for February delivery was falling 13 cents to $60.29 per barrel while February natural gas futures were up 9 cents at $3.03 per 1 million BTU.', 'news_article_title': 'Energy Sector Update for 01/02/2018: WFT,SLB,JONE,PVAC', 'news_lexrank_summary': 'Among energy-related ETFs, United States Oil ( USO ) was up 0.2% while United States Natural Gas ( UNG ) also was 0.2% higher. Top Energy Stocks Energy stocks were sharply higher Tuesday, with the NYSE Energy Sector Index rising nearly 1.3% while shares of energy companies in the S&P 500 were up more than 1.2% as a group.', 'news_textrank_summary': 'Among energy-related ETFs, United States Oil ( USO ) was up 0.2% while United States Natural Gas ( UNG ) also was 0.2% higher. Energy stocks were sharply higher Tuesday, with the NYSE Energy Sector Index rising nearly 1.3% while shares of energy companies in the S&P 500 were up more than 1.2% as a group. Among energy stocks moving on news: - Weatherford International ( WFT ) tumbled Tuesday, falling almost 19% to a session low of $3.39 a share, after the oilfield-services company last Friday scrapped plans for the OneStim joint venture and instead said it was selling its 30% stake in the pressure-pumping joint venture to majority partner Schlumberger ( SLB ) for $430 million in cash.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 96.08000183105467, 'high': 96.8000030517578, 'open': 96.55999755859376, 'close': 96.55999755859376, 'ema_50': 90.63817459426356, 'rsi_14': 71.17112859990394, 'target': 98.72000122070312, 'volume': 1497600.0, 'ema_200': 85.60082570963972, 'adj_close': 96.55999755859376, 'rsi_lag_1': 72.41377892876227, 'rsi_lag_2': 74.99998137357248, 'rsi_lag_3': 76.47056761087335, 'rsi_lag_4': 62.27542995241915, 'rsi_lag_5': 55.94404941492501, 'macd_lag_1': 1.3923972732171421, 'macd_lag_2': 1.2844938469254572, 'macd_lag_3': 1.1606680776126694, 'macd_lag_4': 1.026466351741277, 'macd_lag_5': 0.8158095831108341, 'macd_12_26_9': 1.4993594769449174, 'macds_12_26_9': 1.166389154881453}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 98.72000122070312, '2018-01-04': 98.95999908447266, '2018-01-05': 98.4800033569336, '2018-01-08': 99.04000091552734, '2018-01-09': 100.55999755859376, '2018-01-10': 101.44000244140624, '2018-01-11': 101.5999984741211, '2018-01-12': 102.95999908447266, '2018-01-16': 102.08000183105467}, '1_month_later': {'2018-02-02': 104.31999969482422}, '3_months_later': {'2018-04-02': 101.91999816894533}, '6_months_later': {'2018-07-02': 119.68000030517578}, '12_months_later': {'2019-01-02': 78.80000305175781}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USNA | {'date': '2018-01-02', 'ticker': 'USNA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 73.0, 'high': 75.55000305175781, 'open': 74.30000305175781, 'close': 74.94999694824219, 'ema_50': 69.45776396545925, 'rsi_14': 72.00000305176246, 'target': 75.05000305175781, 'volume': 95000.0, 'ema_200': 64.00704900246956, 'adj_close': 74.94999694824219, 'rsi_lag_1': 66.66669357814163, 'rsi_lag_2': 72.47192552334253, 'rsi_lag_3': 74.99997782152359, 'rsi_lag_4': 77.90054130792336, 'rsi_lag_5': 73.25583871087935, 'macd_lag_1': 1.8703472065542712, 'macd_lag_2': 1.9997107383741763, 'macd_lag_3': 2.0644665280633205, 'macd_lag_4': 2.045817442673709, 'macd_lag_5': 1.9769842009753376, 'macd_12_26_9': 1.819473898932813, 'macds_12_26_9': 1.9183860911581605}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 75.05000305175781, '2018-01-04': 74.5, '2018-01-05': 74.75, '2018-01-08': 74.1500015258789, '2018-01-09': 73.5999984741211, '2018-01-10': 73.8499984741211, '2018-01-11': 74.44999694824219, '2018-01-12': 74.30000305175781, '2018-01-16': 74.5}, '1_month_later': {'2018-02-02': 73.5999984741211}, '3_months_later': {'2018-04-02': 85.80000305175781}, '6_months_later': {'2018-07-02': 115.4499969482422}, '12_months_later': {'2019-01-02': 116.5500030517578}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USMV | {'date': '2018-01-02', 'ticker': 'USMV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.65999984741211, 'high': 53.0, 'open': 53.0, 'close': 52.7599983215332, 'ema_50': 52.21523562002654, 'rsi_14': 46.26862272494356, 'target': 52.86999893188477, 'volume': 1742200.0, 'ema_200': 50.15039546884368, 'adj_close': 50.11460494995117, 'rsi_lag_1': 48.29269291174515, 'rsi_lag_2': 56.27908709761547, 'rsi_lag_3': 55.66034001266763, 'rsi_lag_4': 53.6945340702167, 'rsi_lag_5': 49.315094740582566, 'macd_lag_1': 0.19405798145686504, 'macd_lag_2': 0.21402887274470572, 'macd_lag_3': 0.2241873834601762, 'macd_lag_4': 0.24203807072134964, 'macd_lag_5': 0.27453795745957876, 'macd_12_26_9': 0.17460430667804872, 'macds_12_26_9': 0.2482155639518687}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 52.86999893188477, '2018-01-04': 53.08000183105469, '2018-01-05': 53.34999847412109, '2018-01-08': 53.43999862670898, '2018-01-09': 53.47000122070313, '2018-01-10': 53.209999084472656, '2018-01-11': 53.36999893188477, '2018-01-12': 53.52999877929688, '2018-01-16': 53.4900016784668}, '1_month_later': {'2018-02-02': 53.56000137329102}, '3_months_later': {'2018-04-02': 51.06000137329102}, '6_months_later': {'2018-07-02': 53.2400016784668}, '12_months_later': {'2019-01-02': 51.93999862670898}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USMF | {'date': '2018-01-02', 'ticker': 'USMF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.739999771118164, 'high': 27.78000068664551, 'open': 27.78000068664551, 'close': 27.739999771118164, 'ema_50': 27.12365114337287, 'rsi_14': 60.33509433318905, 'target': 27.920000076293945, 'volume': 500.0, 'ema_200': 25.969791334175, 'adj_close': 26.74282073974609, 'rsi_lag_1': 67.89465864647161, 'rsi_lag_2': 66.6665276981604, 'rsi_lag_3': 67.0330453446011, 'rsi_lag_4': 66.9239941202319, 'rsi_lag_5': 71.25551146616, 'macd_lag_1': 0.24058873384346668, 'macd_lag_2': 0.25258673290570854, 'macd_lag_3': 0.2677903688057981, 'macd_lag_4': 0.28177319938685486, 'macd_lag_5': 0.29582733756716806, 'macd_12_26_9': 0.2244581448948999, 'macds_12_26_9': 0.26086115485439276}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 27.920000076293945, '2018-01-04': 28.06999969482422, '2018-01-05': 28.21999931335449, '2018-01-08': 28.28400039672852, '2018-01-09': 28.39999961853028, '2018-01-10': 28.25, '2018-01-11': 28.44599914550781, '2018-01-12': 28.6200008392334, '2018-01-16': 28.540000915527344}, '1_month_later': {'2018-02-02': 28.52499961853028}, '3_months_later': {'2018-04-02': 27.45499992370605}, '6_months_later': {'2018-07-02': 28.82600021362305}, '12_months_later': {'2019-01-02': 25.979999542236328}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
usmc | {'date': '2018-01-02', 'ticker': 'usmc', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.290000915527344, 'high': 26.299999237060547, 'open': 26.290000915527344, 'close': 26.299999237060547, 'ema_50': 25.759584603462713, 'rsi_14': 67.58613976517262, 'target': 26.299999237060547, 'volume': 500.0, 'ema_200': 25.251191097782275, 'adj_close': 23.76764869689941, 'rsi_lag_1': 71.09462610792828, 'rsi_lag_2': 71.09462610792828, 'rsi_lag_3': 73.35030909768615, 'rsi_lag_4': 73.35030909768615, 'rsi_lag_5': 71.44628761658635, 'macd_lag_1': 0.21412587660492122, 'macd_lag_2': 0.22762831024275343, 'macd_lag_3': 0.24155136830061252, 'macd_lag_4': 0.2532631689569662, 'macd_lag_5': 0.2645278575189707, 'macd_12_26_9': 0.20389887652148175, 'macds_12_26_9': 0.23206689070057746}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 26.299999237060547, '2018-01-04': 26.652999877929688, '2018-01-05': 26.68000030517578, '2018-01-08': 26.82999992370605, '2018-01-09': 26.89999961853028, '2018-01-10': 26.809999465942383, '2018-01-11': 26.916000366210938, '2018-01-12': 27.11000061035156, '2018-01-16': 27.13500022888184}, '1_month_later': {'2018-02-02': 27.14999961853028}, '3_months_later': {'2018-04-02': 24.790000915527344}, '6_months_later': {'2018-07-02': 25.875}, '12_months_later': {'2019-01-02': 24.93000030517578}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USM | {'date': '2018-01-02', 'ticker': 'USM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.02999877929688, 'high': 37.90999984741211, 'open': 37.790000915527344, 'close': 37.2400016784668, 'ema_50': 36.31876972472224, 'rsi_14': 62.32395643186129, 'target': 37.459999084472656, 'volume': 128000.0, 'ema_200': 37.31914853386843, 'adj_close': 37.2400016784668, 'rsi_lag_1': 64.95413614617625, 'rsi_lag_2': 73.62430229772147, 'rsi_lag_3': 64.31157504828836, 'rsi_lag_4': 49.0853741862514, 'rsi_lag_5': 45.64253978807866, 'macd_lag_1': 0.4093389882722249, 'macd_lag_2': 0.3580472338228162, 'macd_lag_3': 0.23442684267950398, 'macd_lag_4': 0.1068326121613623, 'macd_lag_5': -0.023978154756839842, 'macd_12_26_9': 0.413748941578028, 'macds_12_26_9': 0.19980775745435012}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 37.459999084472656, '2018-01-04': 37.54999923706055, '2018-01-05': 37.68000030517578, '2018-01-08': 37.5099983215332, '2018-01-09': 37.52999877929688, '2018-01-10': 36.06999969482422, '2018-01-11': 36.77999877929688, '2018-01-12': 37.0099983215332, '2018-01-16': 36.04999923706055}, '1_month_later': {'2018-02-02': 35.7400016784668}, '3_months_later': {'2018-04-02': 38.83000183105469}, '6_months_later': {'2018-07-02': 37.150001525878906}, '12_months_later': {'2019-01-02': 52.47000122070313}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USLV | {'date': '2018-01-02', 'ticker': 'USLV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 118.6999969482422, 'high': 121.1999969482422, 'open': 119.0999984741211, 'close': 121.0, 'ema_50': 110.88868393330003, 'rsi_14': 90.0849866928674, 'target': 119.9000015258789, 'volume': 420500.0, 'ema_200': 125.01152407516862, 'adj_close': 121.0, 'rsi_lag_1': 83.02469215747728, 'rsi_lag_2': 82.75861739081355, 'rsi_lag_3': 70.29411546911697, 'rsi_lag_4': 62.53687541354025, 'rsi_lag_5': 50.29239322527554, 'macd_lag_1': -0.04776875682193804, 'macd_lag_2': -1.000728566011773, 'macd_lag_3': -1.9581319697825563, 'macd_lag_4': -2.897099485580469, 'macd_lag_5': -3.7785150694057847, 'macd_12_26_9': 1.0902798622068417, 'macds_12_26_9': -2.003864887306244}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 119.9000015258789, '2018-01-04': 121.3000030517578, '2018-01-05': 121.0999984741211, '2018-01-08': 119.0999984741211, '2018-01-09': 116.5999984741211, '2018-01-10': 116.3000030517578, '2018-01-11': 115.6999969482422, '2018-01-12': 121.8000030517578, '2018-01-16': 121.0999984741211}, '1_month_later': {'2018-02-02': 106.1999969482422}, '3_months_later': {'2018-04-02': 104.0999984741211}, '6_months_later': {'2018-07-02': 86.30000305175781}, '12_months_later': {'2019-01-02': 74.5999984741211}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USLM | {'date': '2018-01-02', 'ticker': 'USLM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 75.86000061035156, 'high': 78.43000030517578, 'open': 77.19999694824219, 'close': 77.5999984741211, 'ema_50': 82.34484070959475, 'rsi_14': 39.33755073429508, 'target': 79.69999694824219, 'volume': 10300.0, 'ema_200': 80.85509988946838, 'adj_close': 72.29228210449219, 'rsi_lag_1': 37.2718837101162, 'rsi_lag_2': 39.64093326699716, 'rsi_lag_3': 39.78701938664951, 'rsi_lag_4': 35.468667345155126, 'rsi_lag_5': 36.52089048051661, 'macd_lag_1': -2.1739462617615573, 'macd_lag_2': -2.225666773676167, 'macd_lag_3': -2.415089313340303, 'macd_lag_4': -2.547405945331789, 'macd_lag_5': -2.608982111471107, 'macd_12_26_9': -2.0687641369081007, 'macds_12_26_9': -2.2297170373400768}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 79.69999694824219, '2018-01-04': 80.4000015258789, '2018-01-05': 80.31999969482422, '2018-01-08': 79.0, '2018-01-09': 78.12999725341797, '2018-01-10': 77.5, '2018-01-11': 77.61000061035156, '2018-01-12': 77.30999755859375, '2018-01-16': 76.86000061035156}, '1_month_later': {'2018-02-02': 75.25}, '3_months_later': {'2018-04-02': 71.41000366210938}, '6_months_later': {'2018-07-02': 82.86000061035156}, '12_months_later': {'2019-01-02': 71.76000213623047}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
usl | {'date': '2018-01-02', 'ticker': 'usl', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.96999931335449, 'high': 21.059999465942383, 'open': 21.0, 'close': 21.040000915527344, 'ema_50': 19.767090957221253, 'rsi_14': 70.91839763333215, 'target': 21.31999969482422, 'volume': 86600.0, 'ema_200': 18.656387522085957, 'adj_close': 21.040000915527344, 'rsi_lag_1': 71.50001525878929, 'rsi_lag_2': 74.2081701803007, 'rsi_lag_3': 75.74469777457118, 'rsi_lag_4': 62.19082248514742, 'rsi_lag_5': 58.52711172488034, 'macd_lag_1': 0.30479180846019105, 'macd_lag_2': 0.2823846542657371, 'macd_lag_3': 0.2547683957143896, 'macd_lag_4': 0.22395973218489118, 'macd_lag_5': 0.18341548851140033, 'macd_12_26_9': 0.32844657674556643, 'macds_12_26_9': 0.2522115163778628}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 21.31999969482422, '2018-01-04': 21.38999938964844, '2018-01-05': 21.3799991607666, '2018-01-08': 21.489999771118164, '2018-01-09': 21.75, '2018-01-10': 21.8700008392334, '2018-01-11': 21.950000762939453, '2018-01-12': 22.13999938964844, '2018-01-16': 22.030000686645508}, '1_month_later': {'2018-02-02': 22.15999984741211}, '3_months_later': {'2018-04-02': 22.100000381469727}, '6_months_later': {'2018-07-02': 24.790000915527344}, '12_months_later': {'2019-01-02': 18.350000381469727}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USIG | {'date': '2018-01-02', 'ticker': 'USIG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 55.72499847412109, 'high': 55.93999862670898, 'open': 55.93999862670898, 'close': 55.84500122070313, 'ema_50': 55.942135448936234, 'rsi_14': 47.03711552861749, 'target': 55.88999938964844, 'volume': 152600.0, 'ema_200': 55.798463465817825, 'adj_close': 51.32747650146485, 'rsi_lag_1': 52.04914060228193, 'rsi_lag_2': 50.81968750879409, 'rsi_lag_3': 48.62746271336036, 'rsi_lag_4': 39.90823761627824, 'rsi_lag_5': 44.017149750579065, 'macd_lag_1': -0.00416287930202941, 'macd_lag_2': -0.013123532933938975, 'macd_lag_3': -0.022842487053608806, 'macd_lag_4': -0.0369515625633241, 'macd_lag_5': -0.029985861678184733, 'macd_12_26_9': -0.010656091451558325, 'macds_12_26_9': -0.007558218920553606}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 55.88999938964844, '2018-01-04': 55.91999816894531, '2018-01-05': 55.8650016784668, '2018-01-08': 55.8650016784668, '2018-01-09': 55.66999816894531, '2018-01-10': 55.68999862670898, '2018-01-11': 55.79499816894531, '2018-01-12': 55.84500122070313, '2018-01-16': 55.8650016784668}, '1_month_later': {'2018-02-02': 54.92499923706055}, '3_months_later': {'2018-04-02': 54.34999847412109}, '6_months_later': {'2018-07-02': 53.43000030517578}, '12_months_later': {'2019-01-02': 53.02999877929688}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USHY | {'date': '2018-01-02', 'ticker': 'USHY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 49.90999984741211, 'high': 49.93000030517578, 'open': 49.93000030517578, 'close': 49.93000030517578, 'ema_50': 48.42245488035837, 'rsi_14': 50.1160500571286, 'target': 50.02000045776367, 'volume': 700.0, 'ema_200': 49.38945029165395, 'adj_close': 43.04328155517578, 'rsi_lag_1': 49.93594535306699, 'rsi_lag_2': 3.696600809160145, 'rsi_lag_3': 3.591203568786497, 'rsi_lag_4': 35.753164792382236, 'rsi_lag_5': 34.54749854738067, 'macd_lag_1': -0.3747902932961651, 'macd_lag_2': -0.6274157420296405, 'macd_lag_3': -0.09287457559224066, 'macd_lag_4': 0.5907452343055652, 'macd_lag_5': 0.6089811596357961, 'macd_12_26_9': -0.16684977971139148, 'macds_12_26_9': 0.02377177491335981}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 50.02000045776367, '2018-01-04': 50.2599983215332, '2018-01-05': 50.29999923706055, '2018-01-08': 50.30199813842773, '2018-01-09': 50.20000076293945, '2018-01-10': 50.084999084472656, '2018-01-11': 50.1500015258789, '2018-01-12': 50.1500015258789, '2018-01-16': 50.25}, '1_month_later': {'2018-02-02': 49.60699844360352}, '3_months_later': {'2018-04-02': 48.63000106811523}, '6_months_later': {'2018-07-02': 48.125}, '12_months_later': {'2019-01-02': 45.70500183105469}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USFR | {'date': '2018-01-02', 'ticker': 'USFR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.06999969482422, 'high': 25.06999969482422, 'open': 25.06999969482422, 'close': 25.06999969482422, 'ema_50': 37.957245122030415, 'rsi_14': 49.995009367786935, 'target': 25.01000022888184, 'volume': 500.0, 'ema_200': 41.78515493893627, 'adj_close': 24.06718826293945, 'rsi_lag_1': 57.09888849788876, 'rsi_lag_2': 57.106223024856426, 'rsi_lag_3': 42.84493596876164, 'rsi_lag_4': 57.13390277380111, 'rsi_lag_5': 57.11437604468375, 'macd_lag_1': 1.4550784015915852, 'macd_lag_2': 0.5082275572000086, 'macd_lag_3': -0.7076908304736236, 'macd_lag_4': 0.29610338497529654, 'macd_lag_5': -0.9826333466346071, 'macd_12_26_9': 0.19161304562690873, 'macds_12_26_9': -0.18199798570250453}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 25.01000022888184, '2018-01-04': 25.04999923706055, '2018-01-05': 50.09999847412109, '2018-01-08': 25.059999465942383, '2018-01-09': 25.09000015258789, '2018-01-10': 25.09000015258789, '2018-01-11': 25.04999923706055, '2018-01-12': 25.09000015258789, '2018-01-16': 25.06999969482422}, '1_month_later': {'2018-02-02': 25.04999923706055}, '3_months_later': {'2018-04-02': 25.11000061035156}, '6_months_later': {'2018-07-02': 25.07999992370605}, '12_months_later': {'2019-01-02': 25.07999992370605}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USFD | {'date': '2018-01-02', 'ticker': 'USFD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/top-ranked-value-stocks-to-buy-for-january-2nd-2018-01-02', 'news_author': None, 'news_article': 'Here are three stocks with buy rank and strong value characteristics for investors to consider today, January 2nd:\nPilgrim\'s Pride Corporation (PPC): This producer and distributor of chicken products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 10.3% over the last 60 days.\nPilgrim\'s Pride Corporation Price and Consensus\nPilgrim\'s Pride Corporation Price and Consensus | Pilgrim\'s Pride Corporation Quote\nPilgrim\'s Pridehas a price-to-earnings ratio (P/E) of 10.75, compared with 15.80 for the industry. The company possesses a Value Score of A.\nPilgrim\'s Pride Corporation PE Ratio (TTM)\nPilgrim\'s Pride Corporation pe-ratio-ttm | Pilgrim\'s Pride Corporation Quote\nJohnson Outdoors Inc. (JOUT): This manufacturer of outdoor equipment and marine electronics products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings rising 4.5% over the last 60 days.\nJohnson Outdoors Inc. Price and Consensus\nJohnson Outdoors Inc. Price and Consensus | Johnson Outdoors Inc. Quote\nJohnson Outdoors has a price-to-earnings ratio (P/E) of 19.02, compared with 20.60 for the industry. The company possesses a Value Score of A.\nJohnson Outdoors Inc. PE Ratio (TTM)\nJohnson Outdoors Inc. pe-ratio-ttm | Johnson Outdoors Inc. Quote\nUS Foods Holding Corp. (USFD): This distributor of fresh and frozen food products has a Zacks Rank #2 (Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 0.7% over the last 60 days.\nUS Foods Holding Corp. Price and Consensus\nUS Foods Holding Corp. Price and Consensus | US Foods Holding Corp. Quote\nUS Foods has a price-to-earnings ratio (P/E) of 27.77, compared with 58.10 for the industry. The company possesses a Value Score of A.\nUS Foods Holding Corp. PE Ratio (TTM)\nUS Foods Holding Corp. pe-ratio-ttm | US Foods Holding Corp. Quote\nAmerican Equity Investment Life Holding Company (AEL): This developer of fixed index and fixed rate annuity products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 13.2% over the last 60 days.\nAmerican Equity Investment Life Holding Company Price and Consensus\nAmerican Equity Investment Life Holding Company Price and Consensus | American Equity Investment Life Holding Company Quote\nAmerican Equity has a price-to-earnings ratio (P/E) of 10.26, compared with 13.60 for the industry. The company possesses a Value Score of A.\nAmerican Equity Investment Life Holding Company PE Ratio (TTM)\nAmerican Equity Investment Life Holding Company pe-ratio-ttm | American Equity Investment Life Holding Company Quote\nSee the full list of top ranked stocks here\nLearn more about the Value score and how it is calculated here .\nZacks Editor-in-Chief Goes "All In" on This Stock\nFull disclosure, Kevin Matras now has more of his own money in one particular stock than in any other. He believes in its short-term profit potential and also in its prospects to more than double by 2019. Today he reveals and explains his surprising move in a new Special Report.\nDownload it free >>\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nUS Foods Holding Corp. (USFD): Free Stock Analysis Report\nPilgrim\'s Pride Corporation (PPC): Free Stock Analysis Report\nJohnson Outdoors Inc. (JOUT): Free Stock Analysis Report\nAmerican Equity Investment Life Holding Company (AEL): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "The company possesses a Value Score of A. Johnson Outdoors Inc. PE Ratio (TTM) Johnson Outdoors Inc. pe-ratio-ttm | Johnson Outdoors Inc. Quote US Foods Holding Corp. (USFD): This distributor of fresh and frozen food products has a Zacks Rank #2 (Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 0.7% over the last 60 days. Click to get this free report US Foods Holding Corp. (USFD): Free Stock Analysis Report Pilgrim's Pride Corporation (PPC): Free Stock Analysis Report Johnson Outdoors Inc. (JOUT): Free Stock Analysis Report American Equity Investment Life Holding Company (AEL): Free Stock Analysis Report To read this article on Zacks.com click here. Here are three stocks with buy rank and strong value characteristics for investors to consider today, January 2nd: Pilgrim's Pride Corporation (PPC): This producer and distributor of chicken products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 10.3% over the last 60 days.", 'news_luhn_summary': "Click to get this free report US Foods Holding Corp. (USFD): Free Stock Analysis Report Pilgrim's Pride Corporation (PPC): Free Stock Analysis Report Johnson Outdoors Inc. (JOUT): Free Stock Analysis Report American Equity Investment Life Holding Company (AEL): Free Stock Analysis Report To read this article on Zacks.com click here. The company possesses a Value Score of A. Johnson Outdoors Inc. PE Ratio (TTM) Johnson Outdoors Inc. pe-ratio-ttm | Johnson Outdoors Inc. Quote US Foods Holding Corp. (USFD): This distributor of fresh and frozen food products has a Zacks Rank #2 (Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 0.7% over the last 60 days. American Equity Investment Life Holding Company Price and Consensus American Equity Investment Life Holding Company Price and Consensus | American Equity Investment Life Holding Company Quote American Equity has a price-to-earnings ratio (P/E) of 10.26, compared with 13.60 for the industry.", 'news_article_title': 'Top Ranked Value Stocks to Buy for January 2nd', 'news_lexrank_summary': "Click to get this free report US Foods Holding Corp. (USFD): Free Stock Analysis Report Pilgrim's Pride Corporation (PPC): Free Stock Analysis Report Johnson Outdoors Inc. (JOUT): Free Stock Analysis Report American Equity Investment Life Holding Company (AEL): Free Stock Analysis Report To read this article on Zacks.com click here. The company possesses a Value Score of A. Johnson Outdoors Inc. PE Ratio (TTM) Johnson Outdoors Inc. pe-ratio-ttm | Johnson Outdoors Inc. Quote US Foods Holding Corp. (USFD): This distributor of fresh and frozen food products has a Zacks Rank #2 (Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 0.7% over the last 60 days. The company possesses a Value Score of A. Pilgrim's Pride Corporation PE Ratio (TTM) Pilgrim's Pride Corporation pe-ratio-ttm | Pilgrim's Pride Corporation Quote Johnson Outdoors Inc. (JOUT): This manufacturer of outdoor equipment and marine electronics products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings rising 4.5% over the last 60 days.", 'news_textrank_summary': "Click to get this free report US Foods Holding Corp. (USFD): Free Stock Analysis Report Pilgrim's Pride Corporation (PPC): Free Stock Analysis Report Johnson Outdoors Inc. (JOUT): Free Stock Analysis Report American Equity Investment Life Holding Company (AEL): Free Stock Analysis Report To read this article on Zacks.com click here. The company possesses a Value Score of A. Johnson Outdoors Inc. PE Ratio (TTM) Johnson Outdoors Inc. pe-ratio-ttm | Johnson Outdoors Inc. Quote US Foods Holding Corp. (USFD): This distributor of fresh and frozen food products has a Zacks Rank #2 (Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 0.7% over the last 60 days. American Equity Investment Life Holding Company Price and Consensus American Equity Investment Life Holding Company Price and Consensus | American Equity Investment Life Holding Company Quote American Equity has a price-to-earnings ratio (P/E) of 10.26, compared with 13.60 for the industry."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.90999984741211, 'high': 32.27000045776367, 'open': 32.02000045776367, 'close': 32.040000915527344, 'ema_50': 29.394792261628726, 'rsi_14': 65.7970827003157, 'target': 32.0, 'volume': 2253000.0, 'ema_200': 27.875430643201458, 'adj_close': 32.040000915527344, 'rsi_lag_1': 63.71680569480881, 'rsi_lag_2': 65.83331478967796, 'rsi_lag_3': 68.86074384614915, 'rsi_lag_4': 67.99999809265228, 'rsi_lag_5': 65.68364104019489, 'macd_lag_1': 0.8955162790792244, 'macd_lag_2': 0.8872554600649742, 'macd_lag_3': 0.8811152157812252, 'macd_lag_4': 0.8767527034932954, 'macd_lag_5': 0.8563953746044959, 'macd_12_26_9': 0.9005580944708029, 'macds_12_26_9': 0.8797230138489017}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 32.0, '2018-01-04': 32.22999954223633, '2018-01-05': 32.860000610351555, '2018-01-08': 32.110000610351555, '2018-01-09': 32.189998626708984, '2018-01-10': 32.09000015258789, '2018-01-11': 32.09999847412109, '2018-01-12': 32.450000762939446, '2018-01-16': 32.400001525878906}, '1_month_later': {'2018-02-02': 31.290000915527344}, '3_months_later': {'2018-04-02': 32.02000045776367}, '6_months_later': {'2018-07-02': 37.97000122070313}, '12_months_later': {'2019-01-02': 31.70000076293945}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
USEQ | {'date': '2018-01-02', 'ticker': 'USEQ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.59000015258789, 'high': 27.67499923706055, 'open': 27.59000015258789, 'close': 27.65999984741211, 'ema_50': 27.009038311684012, 'rsi_14': 59.661836861624856, 'target': 27.76499938964844, 'volume': 25400.0, 'ema_200': 25.877964328023186, 'adj_close': 26.04796600341797, 'rsi_lag_1': 55.07613660293524, 'rsi_lag_2': 61.96870586327647, 'rsi_lag_3': 64.94848198835919, 'rsi_lag_4': 56.053823165651764, 'rsi_lag_5': 47.00856512198863, 'macd_lag_1': 0.1981862762923079, 'macd_lag_2': 0.2079801182479315, 'macd_lag_3': 0.21603000829307817, 'macd_lag_4': 0.22458778888831787, 'macd_lag_5': 0.23275309703596392, 'macd_12_26_9': 0.19304078741316388, 'macds_12_26_9': 0.22321336691421684}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 27.76499938964844, '2018-01-04': 27.88500022888184, '2018-01-05': 27.95499992370605, '2018-01-08': 28.09000015258789, '2018-01-09': 28.1200008392334, '2018-01-10': 27.9950008392334, '2018-01-11': 28.1200008392334, '2018-01-12': 28.395000457763672, '2018-01-16': 28.40999984741211}, '1_month_later': {'2018-02-02': 27.92499923706055}, '3_months_later': {'2018-04-02': 26.290000915527344}, '6_months_later': {'2018-07-02': 27.40999984741211}, '12_months_later': {'2019-01-02': 24.00900077819824}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
TUES | {'date': '2018-01-02', 'ticker': 'TUES', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.75, 'high': 2.950000047683716, 'open': 2.75, 'close': 2.900000095367432, 'ema_50': 2.7687204399415135, 'rsi_14': 45.4545493953488, 'target': 2.900000095367432, 'volume': 137800.0, 'ema_200': 2.9452949029987257, 'adj_close': 2.900000095367432, 'rsi_lag_1': 45.45454939534876, 'rsi_lag_2': 50.0, 'rsi_lag_3': 58.33332671059397, 'rsi_lag_4': 69.23076640924799, 'rsi_lag_5': 73.33332697550456, 'macd_lag_1': 0.018574970099137555, 'macd_lag_2': 0.028350360940337715, 'macd_lag_3': 0.035324041219041646, 'macd_lag_4': 0.04371118890249237, 'macd_lag_5': 0.04868953587131086, 'macd_12_26_9': 0.022670327103587073, 'macds_12_26_9': 0.031176151960088928}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 2.900000095367432, '2018-01-04': 2.930000066757202, '2018-01-05': 2.900000095367432, '2018-01-08': 2.950000047683716, '2018-01-09': 2.950000047683716, '2018-01-10': 2.900000095367432, '2018-01-11': 3.0, '2018-01-12': 3.200000047683716, '2018-01-16': 3.25}, '1_month_later': {'2018-02-02': 3.0}, '3_months_later': {'2018-04-02': 3.900000095367432}, '6_months_later': {'2018-07-02': 2.880000114440918}, '12_months_later': {'2019-01-02': 1.809999942779541}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
VEDL | {'date': '2018-01-02', 'ticker': 'VEDL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.93000030517578, 'high': 21.13999938964844, 'open': 20.940000534057614, 'close': 21.09000015258789, 'ema_50': 19.4165917480124, 'rsi_14': 83.7708778400258, 'target': 21.39999961853028, 'volume': 658400.0, 'ema_200': 17.67504930217591, 'adj_close': 17.353702545166016, 'rsi_lag_1': 83.69303854353579, 'rsi_lag_2': 90.44119125144051, 'rsi_lag_3': 89.37330833163567, 'rsi_lag_4': 85.33334621853962, 'rsi_lag_5': 80.62677319561305, 'macd_lag_1': 0.4704701468675516, 'macd_lag_2': 0.4156363070157276, 'macd_lag_3': 0.3100754028309325, 'macd_lag_4': 0.2370130891742832, 'macd_lag_5': 0.14845699249642408, 'macd_12_26_9': 0.5288104083503811, 'macds_12_26_9': 0.23567511325473803}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 21.39999961853028, '2018-01-04': 21.57999992370605, '2018-01-05': 21.57999992370605, '2018-01-08': 21.65999984741211, '2018-01-09': 21.450000762939453, '2018-01-10': 21.190000534057614, '2018-01-11': 21.3700008392334, '2018-01-12': 21.670000076293945, '2018-01-16': 20.799999237060547}, '1_month_later': {'2018-02-02': 20.270000457763672}, '3_months_later': {'2018-04-02': 17.440000534057614}, '6_months_later': {'2018-07-02': 13.579999923706056}, '12_months_later': {'2019-01-02': 11.18000030517578}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
ttt | {'date': '2018-01-02', 'ticker': 'ttt', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 98.31999969482422, 'high': 101.5199966430664, 'open': 98.31999969482422, 'close': 100.55999755859376, 'ema_50': 100.78324052504432, 'rsi_14': 52.2411040801617, 'target': 99.1999969482422, 'volume': 22200.0, 'ema_200': 106.379235637946, 'adj_close': 84.36551666259766, 'rsi_lag_1': 46.447144334286264, 'rsi_lag_2': 48.49557546023623, 'rsi_lag_3': 52.37314966187502, 'rsi_lag_4': 59.701478728268775, 'rsi_lag_5': 57.86619105974411, 'macd_lag_1': -0.46283669081522305, 'macd_lag_2': -0.2834326248689081, 'macd_lag_3': -0.12363435771638365, 'macd_lag_4': 0.11877926516085324, 'macd_lag_5': 0.023259593175524174, 'macd_12_26_9': -0.33008670301498455, 'macds_12_26_9': -0.423186368080364}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 99.1999969482422, '2018-01-04': 99.23999786376952, '2018-01-05': 100.16000366210938, '2018-01-08': 100.36000061035156, '2018-01-09': 104.55999755859376, '2018-01-10': 104.68000030517578, '2018-01-11': 103.4800033569336, '2018-01-12': 102.91999816894533, '2018-01-16': 101.72000122070312}, '1_month_later': {'2018-02-02': 115.44000244140624}, '3_months_later': {'2018-04-02': 107.68000030517578}, '6_months_later': {'2018-07-02': 106.5199966430664}, '12_months_later': {'2019-01-02': 100.5999984741211}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
TIF | {'date': '2018-01-02', 'ticker': 'TIF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 104.54000091552734, 'high': 106.58999633789062, 'open': 104.56999969482422, 'close': 106.43000030517578, 'ema_50': 97.30215788342473, 'rsi_14': 79.79921110278426, 'target': 107.02999877929688, 'volume': 1627400.0, 'ema_200': 91.84017500644572, 'adj_close': 100.93257904052734, 'rsi_lag_1': 77.2606679788163, 'rsi_lag_2': 79.00005950936816, 'rsi_lag_3': 85.11535014504399, 'rsi_lag_4': 85.24935844837756, 'rsi_lag_5': 78.96827439214528, 'macd_lag_1': 2.7021212454136077, 'macd_lag_2': 2.712740827114601, 'macd_lag_3': 2.6593458825315963, 'macd_lag_4': 2.4486589185875687, 'macd_lag_5': 2.148201702645977, 'macd_12_26_9': 2.8608426814384273, 'macds_12_26_9': 2.3317902646851842}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 107.02999877929688, '2018-01-04': 106.75, '2018-01-05': 106.56999969482422, '2018-01-08': 106.83999633789062, '2018-01-09': 106.54000091552734, '2018-01-10': 105.83999633789062, '2018-01-11': 107.45999908447266, '2018-01-12': 108.45999908447266, '2018-01-16': 107.58000183105467}, '1_month_later': {'2018-02-02': 105.51000213623048}, '3_months_later': {'2018-04-02': 94.87000274658205}, '6_months_later': {'2018-07-02': 131.05999755859378}, '12_months_later': {'2019-01-02': 81.83000183105469}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
THW | {'date': '2018-01-02', 'ticker': 'THW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.65999984741211, 'high': 13.81999969482422, 'open': 13.770000457763672, 'close': 13.779999732971191, 'ema_50': 13.660061037261553, 'rsi_14': 59.880236785329615, 'target': 13.949999809265137, 'volume': 146400.0, 'ema_200': 14.110193808572197, 'adj_close': 10.557299613952637, 'rsi_lag_1': 57.051262457374904, 'rsi_lag_2': 66.66668744390148, 'rsi_lag_3': 66.2251760194221, 'rsi_lag_4': 56.57894324067422, 'rsi_lag_5': 59.72221578344707, 'macd_lag_1': 0.011090454380566328, 'macd_lag_2': 0.004657112560476406, 'macd_lag_3': -0.019912901474118172, 'macd_lag_4': -0.03469254107348618, 'macd_lag_5': -0.03879763352776955, 'macd_12_26_9': 0.029565694606301207, 'macds_12_26_9': -0.019956302188252333}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 13.949999809265137, '2018-01-04': 13.960000038146973, '2018-01-05': 14.079999923706056, '2018-01-08': 14.06999969482422, '2018-01-09': 14.220000267028809, '2018-01-10': 14.119999885559082, '2018-01-11': 14.229999542236328, '2018-01-12': 14.270000457763672, '2018-01-16': 14.390000343322756}, '1_month_later': {'2018-02-02': 13.65999984741211}, '3_months_later': {'2018-04-02': 12.510000228881836}, '6_months_later': {'2018-07-02': 12.989999771118164}, '12_months_later': {'2019-01-02': 11.93000030517578}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
THTX | {'date': '2018-01-02', 'ticker': 'THTX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.809999942779541, 'high': 6.03000020980835, 'open': 5.860000133514403, 'close': 5.940000057220459, 'ema_50': 5.602763331028144, 'rsi_14': 80.59700695861656, 'target': 6.099999904632568, 'volume': 44900.0, 'ema_200': 5.268365500416359, 'adj_close': 5.940000057220459, 'rsi_lag_1': 75.65216778357068, 'rsi_lag_2': 70.49179879352405, 'rsi_lag_3': 65.42054783654208, 'rsi_lag_4': 65.42054783654197, 'rsi_lag_5': 50.0, 'macd_lag_1': 0.011367275693968892, 'macd_lag_2': -0.011801044750401779, 'macd_lag_3': -0.04018238979869526, 'macd_lag_4': -0.05953194189039479, 'macd_lag_5': -0.09456310099958731, 'macd_12_26_9': 0.04614169189778927, 'macds_12_26_9': -0.0373629812926302}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 6.099999904632568, '2018-01-04': 6.389999866485597, '2018-01-05': 6.489999771118164, '2018-01-08': 6.519999980926514, '2018-01-09': 6.460000038146973, '2018-01-10': 6.46999979019165, '2018-01-11': 6.429999828338622, '2018-01-12': 6.289999961853027, '2018-01-16': 6.380000114440918}, '1_month_later': {'2018-02-02': 6.090000152587892}, '3_months_later': {'2018-04-02': 7.539999961853027}, '6_months_later': {'2018-07-02': 9.800000190734863}, '12_months_later': {'2019-01-02': 6.599999904632568}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
THRM | {'date': '2018-01-02', 'ticker': 'THRM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.70000076293945, 'high': 32.200000762939446, 'open': 31.85000038146973, 'close': 32.049999237060554, 'ema_50': 33.66459838535752, 'rsi_14': 41.44142750900755, 'target': 32.5, 'volume': 159500.0, 'ema_200': 34.77822503675252, 'adj_close': 32.049999237060554, 'rsi_lag_1': 35.39821066994885, 'rsi_lag_2': 38.461524353921966, 'rsi_lag_3': 36.63367645470293, 'rsi_lag_4': 33.03573009919569, 'rsi_lag_5': 29.600006103515554, 'macd_lag_1': -0.6386881888871869, 'macd_lag_2': -0.6100271282740479, 'macd_lag_3': -0.6154811617711147, 'macd_lag_4': -0.5880354930816054, 'macd_lag_5': -0.5597244786898443, 'macd_12_26_9': -0.629933374856904, 'macds_12_26_9': -0.5721558839627672}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 32.5, '2018-01-04': 33.5, '2018-01-05': 31.79999923706055, '2018-01-08': 32.299999237060554, '2018-01-09': 32.25, '2018-01-10': 32.09999847412109, '2018-01-11': 32.25, '2018-01-12': 32.950000762939446, '2018-01-16': 32.59999847412109}, '1_month_later': {'2018-02-02': 31.10000038146973}, '3_months_later': {'2018-04-02': 33.75}, '6_months_later': {'2018-07-02': 39.54999923706055}, '12_months_later': {'2019-01-02': 40.63999938964844}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
thq | {'date': '2018-01-02', 'ticker': 'thq', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.530000686645508, 'high': 17.690000534057617, 'open': 17.530000686645508, 'close': 17.600000381469727, 'ema_50': 17.647243210353427, 'rsi_14': 51.56253259622405, 'target': 17.75, 'volume': 186000.0, 'ema_200': 17.72663521940347, 'adj_close': 11.47834300994873, 'rsi_lag_1': 50.40000854490883, 'rsi_lag_2': 63.38030060847023, 'rsi_lag_3': 62.857150642230835, 'rsi_lag_4': 51.333298577246886, 'rsi_lag_5': 54.00002288815448, 'macd_lag_1': 0.006736435152568276, 'macd_lag_2': 0.011228228044185329, 'macd_lag_3': 0.006616212450104797, 'macd_lag_4': 0.004706188128082545, 'macd_lag_5': 0.013399911038270318, 'macd_12_26_9': 0.009522216001467854, 'macds_12_26_9': 0.005178639429516279}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 17.75, '2018-01-04': 17.829999923706055, '2018-01-05': 17.8799991607666, '2018-01-08': 17.799999237060547, '2018-01-09': 17.8799991607666, '2018-01-10': 17.920000076293945, '2018-01-11': 18.07999992370605, '2018-01-12': 18.170000076293945, '2018-01-16': 18.13999938964844}, '1_month_later': {'2018-02-02': 17.649999618530273}, '3_months_later': {'2018-04-02': 16.329999923706055}, '6_months_later': {'2018-07-02': 17.049999237060547}, '12_months_later': {'2019-01-02': 16.829999923706055}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
THMO | {'date': '2018-01-02', 'ticker': 'THMO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1363.5, 'high': 1462.5, 'open': 1381.5, 'close': 1395.0, 'ema_50': 1427.5279158896708, 'rsi_14': 67.816091954023, 'target': 1399.5, 'volume': 320.0, 'ema_200': 1529.461890037103, 'adj_close': 1395.0, 'rsi_lag_1': 59.036144578313255, 'rsi_lag_2': 57.5, 'rsi_lag_3': 52.77777777777777, 'rsi_lag_4': 44.70588235294118, 'rsi_lag_5': 45.78313253012048, 'macd_lag_1': -50.73994053690808, 'macd_lag_2': -61.02867582607428, 'macd_lag_3': -67.77497176495831, 'macd_lag_4': -71.73442626491601, 'macd_lag_5': -76.66108380828132, 'macd_12_26_9': -38.510989064918476, 'macds_12_26_9': -67.66643140654709}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 1399.5, '2018-01-04': 1417.5, '2018-01-05': 1444.5, '2018-01-08': 1507.5, '2018-01-09': 1705.5, '2018-01-10': 1471.5, '2018-01-11': 1440.0, '2018-01-12': 1413.0, '2018-01-16': 1390.5}, '1_month_later': {'2018-02-02': 1260.0}, '3_months_later': {'2018-04-02': 841.5}, '6_months_later': {'2018-07-02': 184.5}, '12_months_later': {'2019-01-02': 121.5}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
THM | {'date': '2018-01-02', 'ticker': 'THM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.4399999976158142, 'high': 0.479999989271164, 'open': 0.4399999976158142, 'close': 0.4600000083446503, 'ema_50': 0.4220927378106684, 'rsi_14': 68.57142346246023, 'target': 0.449999988079071, 'volume': 152400.0, 'ema_200': 0.49461404984968044, 'adj_close': 0.4600000083446503, 'rsi_lag_1': 66.66666365633199, 'rsi_lag_2': 69.6969628553, 'rsi_lag_3': 65.71427841576013, 'rsi_lag_4': 74.19354218474223, 'rsi_lag_5': 63.99999523162953, 'macd_lag_1': 0.013533477951046702, 'macd_lag_2': 0.01375240540004502, 'macd_lag_3': 0.012813620600143405, 'macd_lag_4': 0.011429009883175911, 'macd_lag_5': 0.004404592665087637, 'macd_12_26_9': 0.015600888415718772, 'macds_12_26_9': 0.006683669369324477}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 0.449999988079071, '2018-01-04': 0.4699999988079071, '2018-01-05': 0.449999988079071, '2018-01-08': 0.4399999976158142, '2018-01-09': 0.4099999964237213, '2018-01-10': 0.4199999868869781, '2018-01-11': 0.4300000071525574, '2018-01-12': 0.4699999988079071, '2018-01-16': 0.449999988079071}, '1_month_later': {'2018-02-02': 0.479999989271164}, '3_months_later': {'2018-04-02': 0.550000011920929}, '6_months_later': {'2018-07-02': 0.5299999713897705}, '12_months_later': {'2019-01-02': 0.5199999809265137}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
tile | {'date': '2018-01-02', 'ticker': 'tile', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.549999237060547, 'high': 25.14999961853028, 'open': 25.100000381469727, 'close': 25.049999237060547, 'ema_50': 23.77416234418099, 'rsi_14': 62.96292894992078, 'target': 24.950000762939453, 'volume': 520600.0, 'ema_200': 21.281920093247532, 'adj_close': 23.75233459472656, 'rsi_lag_1': 61.81816668550905, 'rsi_lag_2': 48.888864399495105, 'rsi_lag_3': 40.476164525897225, 'rsi_lag_4': 38.09525107038473, 'rsi_lag_5': 26.666661015268105, 'macd_lag_1': 0.15597230138641294, 'macd_lag_2': 0.09540152898387433, 'macd_lag_3': 0.0777944869908822, 'macd_lag_4': 0.0796444881272329, 'macd_lag_5': 0.0859381284328542, 'macd_12_26_9': 0.19367333421831745, 'macds_12_26_9': 0.16079916699735777}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 24.950000762939453, '2018-01-04': 24.950000762939453, '2018-01-05': 25.100000381469727, '2018-01-08': 25.39999961853028, '2018-01-09': 25.14999961853028, '2018-01-10': 24.600000381469727, '2018-01-11': 25.39999961853028, '2018-01-12': 25.700000762939453, '2018-01-16': 25.600000381469727}, '1_month_later': {'2018-02-02': 24.350000381469727}, '3_months_later': {'2018-04-02': 24.600000381469727}, '6_months_later': {'2018-07-02': 23.25}, '12_months_later': {'2019-01-02': 14.5600004196167}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
THD | {'date': '2018-01-02', 'ticker': 'THD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 92.6500015258789, 'high': 93.37000274658205, 'open': 93.37000274658205, 'close': 93.08999633789062, 'ema_50': 89.67392798517932, 'rsi_14': 66.96691639746174, 'target': 95.25, 'volume': 176600.0, 'ema_200': 83.5572778635314, 'adj_close': 93.08999633789062, 'rsi_lag_1': 65.02382211526819, 'rsi_lag_2': 61.73910159022925, 'rsi_lag_3': 71.26980763059291, 'rsi_lag_4': 74.52225275593071, 'rsi_lag_5': 70.40804145809204, 'macd_lag_1': 0.824151511285919, 'macd_lag_2': 0.8007575478229967, 'macd_lag_3': 0.8356145973983331, 'macd_lag_4': 0.8282414450389979, 'macd_lag_5': 0.7854017482262634, 'macd_12_26_9': 0.8801533100554337, 'macds_12_26_9': 0.8081045895126774}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 95.25, '2018-01-04': 96.16000366210938, '2018-01-05': 96.26000213623048, '2018-01-08': 95.9499969482422, '2018-01-09': 95.4800033569336, '2018-01-10': 95.68000030517578, '2018-01-11': 97.0500030517578, '2018-01-12': 97.91999816894533, '2018-01-16': 97.72000122070312}, '1_month_later': {'2018-02-02': 98.26000213623048}, '3_months_later': {'2018-04-02': 98.7300033569336}, '6_months_later': {'2018-07-02': 82.38999938964844}, '12_months_later': {'2019-01-02': 84.12000274658203}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
THC | {'date': '2018-01-02', 'ticker': 'THC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/tenet-healthcare-grows-on-acquisitions-lower-revenues-hurt-2018-01-02', 'news_author': None, 'news_article': 'Tenet Healthcare CorporationTHC is a provider of healthcare services through general hospitals and related healthcare facilities. The company has significantly grown inorganically over past many years. It has expanded scale of business, boosted operating capacity and geographical presence through numerous acquisitions, partnerships and strategic alliances. It has also joined forces with companies like Blue Cross Blue Shield of Texas, Cigna Corp CI , Aetna Inc AET , UnitedHealth Group, Inc UNH , Humana, Centene and many more.\nApart from buyouts, the company has been divesting its non-core and unprofitable business units to repay its debt and maintain financial liquidity. In December 2017, the company disclosed its intention to put up its Conifer segment for sale to offer quality health solutions to its clients including its own hospitals and maximize shareholders\' value.\nTenet Healthcare is undertaking cost reduction initiatives to lower annual operating expenses by $250 million, with annualized run-rate savings to be achieved by 2018 end. Nearly 75% of the savings are likely to be achieved from actions within the company\'s hospital operations and other segment. During the first nine months of 2017, the company\'s total operating expenses decreased 1.5% year over year.\nTenet Healthcare\'s board is going through a reshuffle since Aug 31, 2017 for ensuring the right mix of opinions, skills and experience aimed at enhancing value of the company. To date, three new independent directors with significant healthcare, financial and operational expertise have been appointed. The board will continue its search for additional independent directors who can further enhance its expertise.\nIn a year\'s time, shares of Tenet Healthcare have lost 1.6%, underperforming the industry \'s rally of 6.4%. However, the company\'s relentless efforts to create value for investors and other fundamentals are likely to favor the stock going forward. Notably, the stock has a Value Score of A.\nAnother headwind for the company is its rising level of debt. This has led to a rise in interest expenses which, in turn, weighs on the bottom line.\nZacks Rank\nTenet Healthcare carries a Zacks Rank #3 (Hold). You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here.\nZacks Editor-in-Chief Goes "All In" on This Stock\nFull disclosure, Kevin Matras now has more of his own money in one particular stock than in any other. He believes in its short-term profit potential and also in its prospects to more than double by 2019. Today he reveals and explains his surprising move in a new Special Report.\nDownload it free >>\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nCigna Corporation (CI): Free Stock Analysis Report\nAetna Inc. (AET): Free Stock Analysis Report\nUnitedHealth Group Incorporated (UNH): Free Stock Analysis Report\nTenet Healthcare Corporation (THC): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Tenet Healthcare's board is going through a reshuffle since Aug 31, 2017 for ensuring the right mix of opinions, skills and experience aimed at enhancing value of the company. Tenet Healthcare CorporationTHC is a provider of healthcare services through general hospitals and related healthcare facilities. Tenet Healthcare is undertaking cost reduction initiatives to lower annual operating expenses by $250 million, with annualized run-rate savings to be achieved by 2018 end.", 'news_luhn_summary': 'Click to get this free report Cigna Corporation (CI): Free Stock Analysis Report Aetna Inc. (AET): Free Stock Analysis Report UnitedHealth Group Incorporated (UNH): Free Stock Analysis Report Tenet Healthcare Corporation (THC): Free Stock Analysis Report To read this article on Zacks.com click here. Tenet Healthcare CorporationTHC is a provider of healthcare services through general hospitals and related healthcare facilities. Tenet Healthcare is undertaking cost reduction initiatives to lower annual operating expenses by $250 million, with annualized run-rate savings to be achieved by 2018 end.', 'news_article_title': 'Tenet Healthcare Grows on Acquisitions, Lower Revenues Hurt', 'news_lexrank_summary': "Tenet Healthcare's board is going through a reshuffle since Aug 31, 2017 for ensuring the right mix of opinions, skills and experience aimed at enhancing value of the company. Tenet Healthcare CorporationTHC is a provider of healthcare services through general hospitals and related healthcare facilities. Tenet Healthcare is undertaking cost reduction initiatives to lower annual operating expenses by $250 million, with annualized run-rate savings to be achieved by 2018 end.", 'news_textrank_summary': "Tenet Healthcare CorporationTHC is a provider of healthcare services through general hospitals and related healthcare facilities. Tenet Healthcare's board is going through a reshuffle since Aug 31, 2017 for ensuring the right mix of opinions, skills and experience aimed at enhancing value of the company. Click to get this free report Cigna Corporation (CI): Free Stock Analysis Report Aetna Inc. (AET): Free Stock Analysis Report UnitedHealth Group Incorporated (UNH): Free Stock Analysis Report Tenet Healthcare Corporation (THC): Free Stock Analysis Report To read this article on Zacks.com click here."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.220000267028809, 'high': 16.059999465942386, 'open': 15.25, 'close': 15.989999771118164, 'ema_50': 14.43521360143354, 'rsi_14': 71.34725444870188, 'target': 15.5600004196167, 'volume': 2841700.0, 'ema_200': 16.300210203522358, 'adj_close': 15.989999771118164, 'rsi_lag_1': 68.86598453041452, 'rsi_lag_2': 70.20409219814397, 'rsi_lag_3': 70.20409219814397, 'rsi_lag_4': 70.49180680274767, 'rsi_lag_5': 70.7819032597225, 'macd_lag_1': 0.3801576037855874, 'macd_lag_2': 0.37376202748764875, 'macd_lag_3': 0.3550714793745513, 'macd_lag_4': 0.3545599310763645, 'macd_lag_5': 0.33856801414821724, 'macd_12_26_9': 0.4470469226760674, 'macds_12_26_9': 0.3222511625174237}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 15.5600004196167, '2018-01-04': 15.359999656677244, '2018-01-05': 15.4399995803833, '2018-01-08': 14.949999809265137, '2018-01-09': 15.109999656677244, '2018-01-10': 14.770000457763672, '2018-01-11': 15.43000030517578, '2018-01-12': 16.25, '2018-01-16': 16.200000762939453}, '1_month_later': {'2018-02-02': 18.26000022888184}, '3_months_later': {'2018-04-02': 23.190000534057614}, '6_months_later': {'2018-07-02': 33.86999893188477}, '12_months_later': {'2019-01-02': 17.770000457763672}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
TGTX | {'date': '2018-01-02', 'ticker': 'TGTX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.199999809265138, 'high': 8.75, 'open': 8.300000190734862, 'close': 8.75, 'ema_50': 8.630633454744501, 'rsi_14': 59.61538320462402, 'target': 9.25, 'volume': 1301800.0, 'ema_200': 9.4694399236085, 'adj_close': 8.75, 'rsi_lag_1': 43.47825726399157, 'rsi_lag_2': 62.50000000000001, 'rsi_lag_3': 62.49999105930112, 'rsi_lag_4': 62.50000596046737, 'rsi_lag_5': 58.13954880974724, 'macd_lag_1': 0.036868833560964376, 'macd_lag_2': 0.05694267185329416, 'macd_lag_3': 0.025735912626453583, 'macd_lag_4': 0.02116680187018183, 'macd_lag_5': 0.009936145784697814, 'macd_12_26_9': 0.06459596882005769, 'macds_12_26_9': 0.011888847190929006}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 9.25, '2018-01-04': 8.850000381469727, '2018-01-05': 9.100000381469728, '2018-01-08': 8.699999809265138, '2018-01-09': 8.850000381469727, '2018-01-10': 9.199999809265137, '2018-01-11': 10.649999618530272, '2018-01-12': 9.875, '2018-01-16': 9.550000190734863}, '1_month_later': {'2018-02-02': 11.800000190734863}, '3_months_later': {'2018-04-02': 13.75}, '6_months_later': {'2018-07-02': 13.449999809265137}, '12_months_later': {'2019-01-02': 4.309999942779541}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
TGP | {'date': '2018-01-02', 'ticker': 'TGP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/article/4134774-getting-ready-2018-results-tip-day-series-tips-may-perform-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Getting Ready For 2018: Results Of The 'Tip Of The Day' Series And How All The Tips May Perform In 2018", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.100000381469727, 'high': 20.549999237060547, 'open': 20.299999237060547, 'close': 20.39999961853028, 'ema_50': 18.57148915529808, 'rsi_14': 76.05633500123301, 'target': 20.5, 'volume': 292800.0, 'ema_200': 17.441160049700862, 'adj_close': 18.114303588867188, 'rsi_lag_1': 79.01234219049267, 'rsi_lag_2': 73.25579744859026, 'rsi_lag_3': 73.5632088150114, 'rsi_lag_4': 70.45451195776089, 'rsi_lag_5': 75.60969936508637, 'macd_lag_1': 0.6036322286051998, 'macd_lag_2': 0.5983756775863576, 'macd_lag_3': 0.5880535922035861, 'macd_lag_4': 0.5917798964284238, 'macd_lag_5': 0.5981101650769958, 'macd_12_26_9': 0.6208146292199039, 'macds_12_26_9': 0.5470873439911482}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 20.5, '2018-01-04': 20.549999237060547, '2018-01-05': 20.5, '2018-01-08': 20.700000762939453, '2018-01-09': 20.600000381469727, '2018-01-10': 20.5, '2018-01-11': 20.64999961853028, '2018-01-12': 21.25, '2018-01-16': 21.200000762939453}, '1_month_later': {'2018-02-02': 19.5}, '3_months_later': {'2018-04-02': 17.399999618530273}, '6_months_later': {'2018-07-02': 16.5}, '12_months_later': {'2019-01-02': 11.699999809265137}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
TGI | {'date': '2018-01-02', 'ticker': 'TGI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.20000076293945, 'high': 27.95000076293945, 'open': 27.29999923706055, 'close': 27.75, 'ema_50': 28.644961539579754, 'rsi_14': 68.11597808479691, 'target': 27.14999961853028, 'volume': 490600.0, 'ema_200': 29.011830697163496, 'adj_close': 27.29119110107422, 'rsi_lag_1': 58.064530022334445, 'rsi_lag_2': 66.07143708638591, 'rsi_lag_3': 61.403541647146945, 'rsi_lag_4': 53.0303152905817, 'rsi_lag_5': 36.26373396045288, 'macd_lag_1': -0.578481365093392, 'macd_lag_2': -0.6033975993558371, 'macd_lag_3': -0.6620592906434162, 'macd_lag_4': -0.7171213241124192, 'macd_lag_5': -0.7769696457530273, 'macd_12_26_9': -0.5084931356909976, 'macds_12_26_9': -0.6884215135487415}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 27.14999961853028, '2018-01-04': 27.39999961853028, '2018-01-05': 27.45000076293945, '2018-01-08': 27.75, '2018-01-09': 28.20000076293945, '2018-01-10': 27.89999961853028, '2018-01-11': 28.64999961853028, '2018-01-12': 29.35000038146973, '2018-01-16': 28.70000076293945}, '1_month_later': {'2018-02-02': 25.85000038146973}, '3_months_later': {'2018-04-02': 25.14999961853028}, '6_months_later': {'2018-07-02': 19.200000762939453}, '12_months_later': {'2019-01-02': 12.0}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
THG | {'date': '2018-01-02', 'ticker': 'THG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 105.76000213623048, 'high': 109.4000015258789, 'open': 108.55999755859376, 'close': 106.70999908447266, 'ema_50': 104.51589720718587, 'rsi_14': 56.42682686140022, 'target': 106.73999786376952, 'volume': 222000.0, 'ema_200': 96.69286948503826, 'adj_close': 95.50154876708984, 'rsi_lag_1': 60.64295122020735, 'rsi_lag_2': 67.01755231328207, 'rsi_lag_3': 60.06289459068133, 'rsi_lag_4': 54.90197226227712, 'rsi_lag_5': 53.695819580531996, 'macd_lag_1': 0.9910903119767909, 'macd_lag_2': 0.969781459779, 'macd_lag_3': 0.8500780453557155, 'macd_lag_4': 0.6849281884684757, 'macd_lag_5': 0.5863558322120639, 'macd_12_26_9': 0.8872028367693616, 'macds_12_26_9': 0.7522057603653491}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]} | {'next_10_days': {'2018-01-03': 106.73999786376952, '2018-01-04': 107.56999969482422, '2018-01-05': 107.62000274658205, '2018-01-08': 107.31999969482422, '2018-01-09': 108.01000213623048, '2018-01-10': 108.73999786376952, '2018-01-11': 110.0999984741211, '2018-01-12': 110.87000274658205, '2018-01-16': 111.23999786376952}, '1_month_later': {'2018-02-02': 114.98999786376952}, '3_months_later': {'2018-04-02': 116.52999877929688}, '6_months_later': {'2018-07-02': 119.94000244140624}, '12_months_later': {'2019-01-02': 115.37000274658205}} | YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR. |
Subsets and Splits