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OSBC
{'date': '2018-01-02', 'ticker': 'OSBC', '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': 13.649999618530272, 'high': 14.149999618530272, 'open': 13.800000190734863, 'close': 13.75, 'ema_50': 13.1243363333172, 'rsi_14': 67.14284974701751, 'target': 14.149999618530272, 'volume': 127500.0, 'ema_200': 12.105485814772024, 'adj_close': 13.64334774017334, 'rsi_lag_1': 66.17645945103708, 'rsi_lag_2': 64.28571428571428, 'rsi_lag_3': 63.38027828483699, 'rsi_lag_4': 47.45763424174832, 'rsi_lag_5': 43.75000745057883, 'macd_lag_1': 0.1088613156351581, 'macd_lag_2': 0.08275936425729746, 'macd_lag_3': 0.04314908159826203, 'macd_lag_4': -0.008035665818880489, 'macd_lag_5': 0.013296262537954462, 'macd_12_26_9': 0.13604821605545325, 'macds_12_26_9': 0.054179585666343434}, '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': 14.149999618530272, '2018-01-04': 14.25, '2018-01-05': 14.600000381469728, '2018-01-08': 14.550000190734863, '2018-01-09': 14.550000190734863, '2018-01-10': 14.550000190734863, '2018-01-11': 14.949999809265137, '2018-01-12': 14.899999618530272, '2018-01-16': 14.699999809265137}, '1_month_later': {'2018-02-02': 14.149999618530272}, '3_months_later': {'2018-04-02': 13.699999809265137}, '6_months_later': {'2018-07-02': 15.050000190734863}, '12_months_later': {'2019-01-02': 13.329999923706056}}
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.
ORRF
{'date': '2018-01-02', 'ticker': 'ORRF', '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': 24.39999961853028, 'high': 25.25, 'open': 25.25, 'close': 24.5, 'ema_50': 25.206396210996076, 'rsi_14': 42.01680645330878, 'target': 24.549999237060547, 'volume': 13900.0, 'ema_200': 23.909867298872925, 'adj_close': 22.75894546508789, 'rsi_lag_1': 47.619049349067794, 'rsi_lag_2': 51.02041134085348, 'rsi_lag_3': 50.515455808916, 'rsi_lag_4': 51.0204113408534, 'rsi_lag_5': 51.0204113408534, 'macd_lag_1': 0.03627313001249988, 'macd_lag_2': 0.0522948318660319, 'macd_lag_3': 0.026165437905383726, 'macd_lag_4': 0.03316166951556454, 'macd_lag_5': 0.046699884987585705, 'macd_12_26_9': -0.03652191423186579, 'macds_12_26_9': 0.03777197383193026}, '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': 24.549999237060547, '2018-01-04': 24.549999237060547, '2018-01-05': 24.700000762939453, '2018-01-08': 24.5, '2018-01-09': 24.549999237060547, '2018-01-10': 24.5, '2018-01-11': 24.700000762939453, '2018-01-12': 24.799999237060547, '2018-01-16': 25.14999961853028}, '1_month_later': {'2018-02-02': 25.0}, '3_months_later': {'2018-04-02': 23.700000762939453}, '6_months_later': {'2018-07-02': 26.350000381469727}, '12_months_later': {'2019-01-02': 18.63999938964844}}
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.
ORLY
{'date': '2018-01-02', 'ticker': 'ORLY', '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/earnings/18/01/10975719/oreilly-automotive-to-report-q4-earnings-wed-feb-7-after-market-close', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "O'Reilly Automotive To Report Q4 Earnings Wed., Feb. 7 After Market Close", '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': 241.2899932861328, 'high': 252.02999877929688, 'open': 241.33999633789065, 'close': 249.259994506836, 'ema_50': 231.2880871024472, 'rsi_14': 53.04398372764876, 'target': 253.83999633789065, 'volume': 1423500.0, 'ema_200': 228.47210934925909, 'adj_close': 249.259994506836, 'rsi_lag_1': 31.389174305493896, 'rsi_lag_2': 46.175033314376606, 'rsi_lag_3': 44.761901734369104, 'rsi_lag_4': 42.19976409692152, 'rsi_lag_5': 38.28334917218759, 'macd_lag_1': 4.100273654054547, 'macd_lag_2': 4.593746871060432, 'macd_lag_3': 4.971470167812129, 'macd_lag_4': 5.386361374858751, 'macd_lag_5': 5.599312177451338, 'macd_12_26_9': 4.362535206438707, 'macds_12_26_9': 5.343214760894348}, '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': 253.83999633789065, '2018-01-04': 257.67999267578125, '2018-01-05': 260.2799987792969, '2018-01-08': 260.0, '2018-01-09': 261.260009765625, '2018-01-10': 258.45001220703125, '2018-01-11': 259.75, '2018-01-12': 258.6000061035156, '2018-01-16': 257.8900146484375}, '1_month_later': {'2018-02-02': 252.63999938964844}, '3_months_later': {'2018-04-02': 236.0800018310547}, '6_months_later': {'2018-07-02': 274.5199890136719}, '12_months_later': {'2019-01-02': 341.1499938964844}}
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.
ORI
{'date': '2018-01-02', 'ticker': 'ORI', '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': 21.030000686645508, 'high': 21.43000030517578, 'open': 21.40999984741211, 'close': 21.06999969482422, 'ema_50': 20.661304702972483, 'rsi_14': 59.090928794985395, 'target': 21.18000030517578, 'volume': 3375700.0, 'ema_200': 19.965027903760898, 'adj_close': 17.45719337463379, 'rsi_lag_1': 67.53249005141188, 'rsi_lag_2': 69.53649996463189, 'rsi_lag_3': 73.75002682217968, 'rsi_lag_4': 69.2858310626703, 'rsi_lag_5': 63.076974993104, 'macd_lag_1': 0.19294632670513678, 'macd_lag_2': 0.18020029584240405, 'macd_lag_3': 0.15723780983894287, 'macd_lag_4': 0.12156960600048805, 'macd_lag_5': 0.09565744743296989, 'macd_12_26_9': 0.1760044125571092, 'macds_12_26_9': 0.1462121576302868}, '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': 21.18000030517578, '2018-01-04': 21.100000381469727, '2018-01-05': 20.8700008392334, '2018-01-08': 20.770000457763672, '2018-01-09': 19.81999969482422, '2018-01-10': 19.76000022888184, '2018-01-11': 19.82999992370605, '2018-01-12': 19.790000915527344, '2018-01-16': 20.21999931335449}, '1_month_later': {'2018-02-02': 21.549999237060547}, '3_months_later': {'2018-04-02': 21.0}, '6_months_later': {'2018-07-02': 19.89999961853028}, '12_months_later': {'2019-01-02': 20.170000076293945}}
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.
ORGS
{'date': '2018-01-02', 'ticker': 'ORGS', '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': 5.150000095367432, 'high': 6.300000190734863, 'open': 5.760000228881836, 'close': 5.260000228881836, 'ema_50': 5.067239862313362, 'rsi_14': 56.76156801030103, 'target': 5.0, 'volume': 20500.0, 'ema_200': 5.513758454061928, 'adj_close': 5.260000228881836, 'rsi_lag_1': 61.94174753685835, 'rsi_lag_2': 64.5748929626179, 'rsi_lag_3': 72.80701460857424, 'rsi_lag_4': 71.55172254327657, 'rsi_lag_5': 68.59504270648033, 'macd_lag_1': 0.4849556500487626, 'macd_lag_2': 0.5308390544468606, 'macd_lag_3': 0.558263532786234, 'macd_lag_4': 0.5332196468127197, 'macd_lag_5': 0.4934986193074318, 'macd_12_26_9': 0.403594513838871, 'macds_12_26_9': 0.4006241204552572}, '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': 5.0, '2018-01-04': 6.050000190734863, '2018-01-05': 7.380000114440918, '2018-01-08': 7.849999904632568, '2018-01-09': 7.5, '2018-01-10': 7.25, '2018-01-11': 6.989999771118164, '2018-01-12': 6.789999961853027, '2018-01-16': 6.400000095367432}, '1_month_later': {'2018-02-02': 8.279999732971191}, '3_months_later': {'2018-04-02': 9.979999542236328}, '6_months_later': {'2018-07-02': 8.65999984741211}, '12_months_later': {'2019-01-02': 4.989999771118164}}
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.
ORGO
{'date': '2018-01-02', 'ticker': 'ORGO', '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': 9.890000343322754, 'high': 9.90999984741211, 'open': 9.890000343322754, 'close': 9.90999984741211, 'ema_50': 9.895805316238915, 'rsi_14': 74.62524416181407, 'target': 9.9399995803833, 'volume': 6300.0, 'ema_200': 9.895108745257643, 'adj_close': 9.90999984741211, 'rsi_lag_1': 47.93674530869779, 'rsi_lag_2': 46.08259747316935, 'rsi_lag_3': 50.27194935073018, 'rsi_lag_4': 52.131645677968756, 'rsi_lag_5': 51.36329104227437, 'macd_lag_1': -0.015889567251381465, 'macd_lag_2': -0.024220273362436373, 'macd_lag_3': -0.016173685022831563, 'macd_lag_4': -0.020635363245565586, 'macd_lag_5': -0.026029936348102467, 'macd_12_26_9': -0.00997932212074204, 'macds_12_26_9': -0.022668741184823718}, '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': 9.9399995803833, '2018-01-04': 9.9399995803833, '2018-01-05': 9.970000267028809, '2018-01-08': 9.9399995803833, '2018-01-09': 9.9399995803833, '2018-01-10': 9.970000267028809, '2018-01-11': 9.979999542236328, '2018-01-12': 9.979999542236328, '2018-01-16': 9.899999618530272}, '1_month_later': {'2018-02-02': 10.039999961853027}, '3_months_later': {'2018-04-02': 10.0}, '6_months_later': {'2018-07-02': 10.010000228881836}}
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.
ORCL
{'date': '2018-01-02', 'ticker': 'ORCL', '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/rumors/18/01/10974433/watching-shares-of-oracle-as-traders-in-chatrooms-pass-unconfirmed-chatte', 'news_author': None, 'news_article': None, 'news_publisher': 'Hal Lindon', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Watching Shares Of Oracle As Traders In Chatrooms Pass Unconfirmed Chatter That Drexel Out In Defense Of The Name', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.nasdaq.com/articles/why-investors-shouldnt-jump-ship-oracle-corporation-stock-2018-01-02', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\n"Paralysis by analysis" is a commonly expressed warning on Wall Street. It also applies perfectly to Oracle Corporation (NYSE: ORCL ). Typically, your average investor is careful, which is a wise characteristic. But at a certain point after you perform due diligence, you just have to pull the trigger.\nOracle stock gives you a great play in the technology space, yet traders hate it for not being absolutely perfect.\nHow else can you explain the negative reaction to ORCL stock following the company\'s second quarter fiscal 2018 earnings report? Going into Q2, the analyst consensus called for 68 cents earnings per share, which was near the lower end of the estimate range. However, the actual EPS came in at 70 cents, which was at the top of the range.\nFurthermore, it wasn\'t that surprising that the tech firm posted impressive numbers. In my earnings preview for Oracle stock, I mentioned the " quiet optimism " supporting the bullish argument.\nORCL was riding on a healthy winning streak. On a year-over-year basis, analysts were expecting more out of the company. Management delivered in the past, and it delivered just recently.\n10 Top S&P 500 Stocks in 2017\nUnfortunately, someone forgot to tell Oracle stock that good news really is good news. On Dec. 14, ORCL closed at $50.19. The next day after the earnings disclosure, shares gapped down to close at $48.30, or a loss of nearly 4%. At the most recent close, shares are off nearly 6% since Q2.\nThat\'s a remarkable response for a company living up to raised expectations. Of course, you shouldn\'t be surprised that I find the downside move irrational.\nTechnical Concerns Weigh on Oracle Stock\nMy colleague Nicolas Chahine had some pointedly amusing words for the market\'s response to Oracle. He wrote that:\n"ORCL stock investors hated what they saw. Management over-delivered on its promises and increased its buybacks. But traders ignored all the successes and chose to focus only on a disappointing cloud business growth forecast."\nHowever, Chahine further notes that heading into the Q2 report, Oracle stock was up 30% year-to-date. In addition, the major indices had a phenomenal year in 2017. For instance, the benchmark S&P 500 index closed out 2017 up almost 19%. Several pundits have expressed concerns that the broader markets are overheated. Looking at the technical charts, I don\'t necessarily disagree.\nWe also need to have some perspective. ORCL stock is a blue-chip tech company, not a sexy startup. From a practical perspective, absorbing steep losses here is difficult to make up. Oracle is not a cryptocurrency. You could end up parking your money for a long time before evening out a loss.\nThat said, potential buyers could use this opportunity to buy Oracle stock at a discount. Aside from technical momentum concerns, most bears are focused on the company\'s poor performance in the cloud division. As our own Tom Taulli notes, the current leaders in the cloud could impinge on Oracle\'s core database business. However, I think the competitive threat is overstated.\nI\'m not taking away anything from cloud operators like Amazon.com, Inc. (NASDAQ: AMZN ) or Microsoft Corporation (NASDAQ: MSFT ). But these names are more relevant for consumer-level and small-business applications. This is my opinion only, but I don\'t think they have proven themselves in the big-boy arena.\nORCL Is More Competitive Than You Think!\nWhen I worked for Sony Corp (ADR) (NYSE: SNE ), we used Oracle products to handle our accounting procedures. I would have been laughed out of the company if I had suggested a Microsoft or Amazon platform. For serious businesses, you\'re going to opt for either Oracle or SAP SE (ADR) (NYSE: SAP ).\nI think it\'s quite telling that AT&T Inc. (NYSE: T ) was drawn in by Oracle\'s comprehensive package, which brings software, platform, and infrastructure under one umbrella. Winning in the cloud isn\'t just about raw numbers; you have to look at who you\'re bringing in. I\'m confident in Oracle stock because they\'re pulling in the whales, not just Joe from down the street.\nOne of the common bearish arguments is that ORCL will have a more difficult time improving its cloud business than would Microsoft or Amazon breaking into the database business. I must disagree. It\'s one thing to provide a cloud platform for off-site storage needs. It\'s quite another to offer a proven, reliable database to handle a multibillion-dollar entity\'s administration.\nOracle Corporation\'s Dip Is an Excellent Buy Opportunity\nOracle has its flaws; that much is certain. But the database game is a lot tougher than many people realize. The company has proven itself consistently in this space. Moreover, I think it\'s a mistake to underestimate management\'s ability to correct its shortcomings. As a longer-term investment, ORCL stock is a shrewd buy, especially after this correction.\nAs of this writing, Josh Enomoto is long SNE.\nMore From InvestorPlace\n7 Dividend Stocks That Make the Grade\nOracle Corporation Stock Is Worth the Risk on This Dip\n7 Best Fidelity Funds for 2018\nCompare Brokers\nThe post Why Investors Shouldn\'t Jump Ship on Oracle Corporation Stock 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': "It also applies perfectly to Oracle Corporation (NYSE: ORCL ). How else can you explain the negative reaction to ORCL stock following the company's second quarter fiscal 2018 earnings report? ORCL was riding on a healthy winning streak.", 'news_luhn_summary': "It also applies perfectly to Oracle Corporation (NYSE: ORCL ). How else can you explain the negative reaction to ORCL stock following the company's second quarter fiscal 2018 earnings report? ORCL was riding on a healthy winning streak.", 'news_article_title': 'Why Investors Shouldn’t Jump Ship on Oracle Corporation Stock', 'news_lexrank_summary': 'It also applies perfectly to Oracle Corporation (NYSE: ORCL ). On Dec. 14, ORCL closed at $50.19. He wrote that: "ORCL stock investors hated what they saw.', 'news_textrank_summary': "It also applies perfectly to Oracle Corporation (NYSE: ORCL ). How else can you explain the negative reaction to ORCL stock following the company's second quarter fiscal 2018 earnings report? ORCL was riding on a healthy winning streak."}, {'news_url': 'https://www.nasdaq.com/articles/oracle-falls-report-clients-amazon-salesforce-leaving-fold-2018-01-02', 'news_author': None, 'news_article': "Shares of Oracle ( ORCL ) fell Tuesday following a report that Amazon.com ( AMZN ), the leading provider of cloud computing services, and Salesforce.com ( CRM ) are developing alternatives to Oracle's computer database technology.\n[ibd-display-video id=3058793 width=50 float=left autostart=true] Shares in Oracle slipped 1.4% to close at 46.63 on the stock market today . Amazon climbed 1.7% to 1,189.01. Salesforce.com gained 2.2% to 104.41.\nSalesforce.com is a leader in software-as-a-service, where customers purchase renewable subscriptions, rather than one-time, perpetual software licenses. Its sales and marketing software platform, though, has been reliant on Oracle's database technology.\nThe Information reported that Amazon and Salesforce.com are developing open-source database software. Salesforce.com, though, may not be ready to replace Oracle's software until 2023, the report said.\nAmazon has shifted its e-commerce operations away from Oracle technology, the report said.\nIBD'S TAKE:Read IBD's The Big Picture column each day to stay on top of the market direction, a key indicator that lets you know when you can be aggressive and when you should move to the sidelines.\nOracle, meanwhile, has been moving into cloud computing. Oracle is focused on platform-as-a-service, or PaaS, selling applications and software that run on cloud infrastructure. Amazon Web Services provides infrastructure-as-a-service, or IAAS, renting computing power and data storage via the internet.\nThere's speculation Oracle could make more acquisitions in 2018.\nRELATED:\nThe Latest Blockchain Convert? A Company That Runs Hooters Restaurants\nWhy 2018 Software M&A Is Likely To Pick Up, With SaaS Firms Eyed\nStocks To Buy And Watch: Top IPOs, Big And Small Caps, Growth Stocks\nLeaderboard: Daily Updates On Stocks With Potential For Big Gains\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': "Shares of Oracle ( ORCL ) fell Tuesday following a report that Amazon.com ( AMZN ), the leading provider of cloud computing services, and Salesforce.com ( CRM ) are developing alternatives to Oracle's computer database technology. Salesforce.com is a leader in software-as-a-service, where customers purchase renewable subscriptions, rather than one-time, perpetual software licenses. Oracle is focused on platform-as-a-service, or PaaS, selling applications and software that run on cloud infrastructure.", 'news_luhn_summary': "Shares of Oracle ( ORCL ) fell Tuesday following a report that Amazon.com ( AMZN ), the leading provider of cloud computing services, and Salesforce.com ( CRM ) are developing alternatives to Oracle's computer database technology. A Company That Runs Hooters Restaurants Why 2018 Software M&A Is Likely To Pick Up, With SaaS Firms Eyed Stocks To Buy And Watch: Top IPOs, Big And Small Caps, Growth Stocks Leaderboard: Daily Updates On Stocks With Potential For Big Gains 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': 'Oracle Falls On Report Clients Amazon, Salesforce Leaving The Fold', 'news_lexrank_summary': "Shares of Oracle ( ORCL ) fell Tuesday following a report that Amazon.com ( AMZN ), the leading provider of cloud computing services, and Salesforce.com ( CRM ) are developing alternatives to Oracle's computer database technology. The Information reported that Amazon and Salesforce.com are developing open-source database software. Oracle, meanwhile, has been moving into cloud computing.", 'news_textrank_summary': "Shares of Oracle ( ORCL ) fell Tuesday following a report that Amazon.com ( AMZN ), the leading provider of cloud computing services, and Salesforce.com ( CRM ) are developing alternatives to Oracle's computer database technology. Its sales and marketing software platform, though, has been reliant on Oracle's database technology. A Company That Runs Hooters Restaurants Why 2018 Software M&A Is Likely To Pick Up, With SaaS Firms Eyed Stocks To Buy And Watch: Top IPOs, Big And Small Caps, Growth Stocks Leaderboard: Daily Updates On Stocks With Potential For Big Gains The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc."}], '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': 46.16999816894531, 'high': 47.79999923706055, 'open': 47.56999969482422, 'close': 46.630001068115234, 'ema_50': 48.67731596044158, 'rsi_14': 12.204764912032815, 'target': 47.709999084472656, 'volume': 25380000.0, 'ema_200': 47.4782499001365, 'adj_close': 44.71023941040039, 'rsi_lag_1': 28.113254534802223, 'rsi_lag_2': 41.856686833593606, 'rsi_lag_3': 41.47544746013487, 'rsi_lag_4': 45.67900653148445, 'rsi_lag_5': 42.37536804517667, 'macd_lag_1': -0.5137503606972302, 'macd_lag_2': -0.4936111298726473, 'macd_lag_3': -0.48516288426593235, 'macd_lag_4': -0.45306845279256436, 'macd_lag_5': -0.41060503235392787, 'macd_12_26_9': -0.5755259246489572, 'macds_12_26_9': -0.41235851960209635}, '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': 47.709999084472656, '2018-01-04': 48.18000030517578, '2018-01-05': 48.470001220703125, '2018-01-08': 48.97999954223633, '2018-01-09': 49.060001373291016, '2018-01-10': 48.79999923706055, '2018-01-11': 48.95000076293945, '2018-01-12': 49.5099983215332, '2018-01-16': 49.59000015258789}, '1_month_later': {'2018-02-02': 50.130001068115234}, '3_months_later': {'2018-04-02': 45.0099983215332}, '6_months_later': {'2018-07-02': 44.95000076293945}, '12_months_later': {'2019-01-02': 45.220001220703125}}
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.
ORBC
{'date': '2018-01-02', 'ticker': 'ORBC', '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': 10.170000076293944, 'high': 10.43000030517578, 'open': 10.229999542236328, 'close': 10.270000457763672, 'ema_50': 10.31721754761731, 'rsi_14': 58.26772126566898, 'target': 10.609999656677246, 'volume': 687300.0, 'ema_200': 10.31984530744733, 'adj_close': 10.270000457763672, 'rsi_lag_1': 53.27868724311346, 'rsi_lag_2': 52.032530411003016, 'rsi_lag_3': 39.0410994696001, 'rsi_lag_4': 36.53845448465504, 'rsi_lag_5': 28.289485241894454, 'macd_lag_1': -0.06694287882117145, 'macd_lag_2': -0.08038522159211325, 'macd_lag_3': -0.09535509438316936, 'macd_lag_4': -0.10594787080880685, 'macd_lag_5': -0.1189451535287116, 'macd_12_26_9': -0.04846874762528941, 'macds_12_26_9': -0.08530307678320861}, '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': 10.609999656677246, '2018-01-04': 10.989999771118164, '2018-01-05': 10.90999984741211, '2018-01-08': 10.90999984741211, '2018-01-09': 10.739999771118164, '2018-01-10': 10.350000381469728, '2018-01-11': 10.539999961853027, '2018-01-12': 10.779999732971191, '2018-01-16': 10.880000114440918}, '1_month_later': {'2018-02-02': 11.390000343322754}, '3_months_later': {'2018-04-02': 9.09000015258789}, '6_months_later': {'2018-07-02': 10.18000030517578}, '12_months_later': {'2019-01-02': 8.510000228881836}}
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.
ORAN
{'date': '2018-01-02', 'ticker': 'ORAN', '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': 17.440000534057617, 'high': 17.59000015258789, 'open': 17.5, 'close': 17.579999923706055, 'ema_50': 17.000626194741645, 'rsi_14': 64.81482789679106, 'target': 17.399999618530273, 'volume': 382900.0, 'ema_200': 16.522712635714775, 'adj_close': 15.672840118408203, 'rsi_lag_1': 57.777763649233464, 'rsi_lag_2': 62.376258191226185, 'rsi_lag_3': 71.85188220201529, 'rsi_lag_4': 72.3881032531724, 'rsi_lag_5': 69.78415390526374, 'macd_lag_1': 0.1659962316558108, 'macd_lag_2': 0.1741277094923639, 'macd_lag_3': 0.18299187055182387, 'macd_lag_4': 0.193680279501951, 'macd_lag_5': 0.19941457690482167, 'macd_12_26_9': 0.17209271944284055, 'macds_12_26_9': 0.18113846854468738}, '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': 17.399999618530273, '2018-01-04': 17.530000686645508, '2018-01-05': 17.600000381469727, '2018-01-08': 17.649999618530273, '2018-01-09': 17.530000686645508, '2018-01-10': 17.280000686645508, '2018-01-11': 17.25, '2018-01-12': 17.579999923706055, '2018-01-16': 17.850000381469727}, '1_month_later': {'2018-02-02': 17.670000076293945}, '3_months_later': {'2018-04-02': 16.889999389648438}, '6_months_later': {'2018-07-02': 16.56999969482422}, '12_months_later': {'2019-01-02': 16.06999969482422}}
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.
ORA
{'date': '2018-01-02', 'ticker': 'ORA', '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': 64.22000122070312, 'high': 64.79000091552734, 'open': 64.44000244140625, 'close': 64.70999908447266, 'ema_50': 63.15199592273567, 'rsi_14': 64.02267207352754, 'target': 64.12999725341797, 'volume': 173300.0, 'ema_200': 59.514362907906516, 'adj_close': 63.43639373779297, 'rsi_lag_1': 58.722740785150954, 'rsi_lag_2': 57.29486551433268, 'rsi_lag_3': 62.06374777355148, 'rsi_lag_4': 58.631939228225285, 'rsi_lag_5': 53.32280266956551, 'macd_lag_1': 0.16546066233247103, 'macd_lag_2': 0.14862677304068939, 'macd_lag_3': 0.09850582013876874, 'macd_lag_4': 0.0015370587214746934, 'macd_lag_5': -0.07236200784872437, 'macd_12_26_9': 0.23659307516981443, 'macds_12_26_9': 0.052419900553639036}, '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': 64.12999725341797, '2018-01-04': 64.7699966430664, '2018-01-05': 65.05000305175781, '2018-01-08': 65.25, '2018-01-09': 65.5999984741211, '2018-01-10': 65.38999938964844, '2018-01-11': 65.7300033569336, '2018-01-12': 66.06999969482422, '2018-01-16': 65.56999969482422}, '1_month_later': {'2018-02-02': 68.01000213623047}, '3_months_later': {'2018-04-02': 56.06999969482422}, '6_months_later': {'2018-07-02': 53.18000030517578}, '12_months_later': {'2019-01-02': 51.709999084472656}}
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.
ORMP
{'date': '2018-01-02', 'ticker': 'ORMP', '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': 9.0, 'high': 9.220000267028809, 'open': 9.09000015258789, 'close': 9.140000343322754, 'ema_50': 9.137050837444445, 'rsi_14': 54.435488367675205, 'target': 9.119999885559082, 'volume': 20100.0, 'ema_200': 8.6084898958003, 'adj_close': 9.140000343322754, 'rsi_lag_1': 58.45588222403839, 'rsi_lag_2': 58.67159152053337, 'rsi_lag_3': 66.66666666666663, 'rsi_lag_4': 69.73293163939687, 'rsi_lag_5': 55.05049896902053, 'macd_lag_1': -0.02001060938927779, 'macd_lag_2': -0.02444017486199712, 'macd_lag_3': -0.059265686546947194, 'macd_lag_4': -0.09165369188610129, 'macd_lag_5': -0.14184117946708064, 'macd_12_26_9': -0.005143992421777099, 'macds_12_26_9': -0.09207637249930817}, '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': 9.119999885559082, '2018-01-04': 9.029999732971191, '2018-01-05': 8.829999923706055, '2018-01-08': 8.899999618530273, '2018-01-09': 8.9399995803833, '2018-01-10': 8.699999809265137, '2018-01-11': 8.8100004196167, '2018-01-12': 8.699999809265137, '2018-01-16': 8.34000015258789}, '1_month_later': {'2018-02-02': 7.980000019073486}, '3_months_later': {'2018-04-02': 6.369999885559082}, '6_months_later': {'2018-07-02': 7.110000133514404}, '12_months_later': {'2019-01-02': 3.359999895095825}}
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.
OCX
{'date': '2018-01-02', 'ticker': 'OCX', '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': 4.599999904632568, 'high': 4.800000190734863, 'open': 4.699999809265137, 'close': 4.599999904632568, 'ema_50': 5.3727871461095065, 'rsi_14': 42.46575002442974, 'target': 4.5, 'volume': 13600.0, 'ema_200': 5.494940101027909, 'adj_close': 4.599999904632568, 'rsi_lag_1': 42.46575557217011, 'rsi_lag_2': 44.44444150100434, 'rsi_lag_3': 47.058818579543825, 'rsi_lag_4': 47.8260851537344, 'rsi_lag_5': 49.25373537977672, 'macd_lag_1': -0.06912419598910624, 'macd_lag_2': -0.015323016815260715, 'macd_lag_3': 0.04338792364862787, 'macd_lag_4': 0.09732971909883315, 'macd_lag_5': 0.16476336028656746, 'macd_12_26_9': -0.1144769960729457, 'macds_12_26_9': 0.012094285147512453}, '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': 4.5, '2018-01-04': 4.550000190734863, '2018-01-05': 4.400000095367432, '2018-01-08': 4.25, '2018-01-09': 4.150000095367432, '2018-01-10': 4.300000190734863, '2018-01-11': 4.25, '2018-01-12': 4.300000190734863, '2018-01-16': 4.349999904632568}, '1_month_later': {'2018-02-02': 3.950000047683716}, '3_months_later': {'2018-04-02': 2.25}, '6_months_later': {'2018-07-02': 2.549999952316284}, '12_months_later': {'2019-01-02': 1.4700000286102295}}
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.
ONCT
{'date': '2018-01-02', 'ticker': 'ONCT', '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': 80.22000122070312, 'high': 88.2699966430664, 'open': 88.2699966430664, 'close': 80.5, 'ema_50': 78.62829489678576, 'rsi_14': 35.159825305343645, 'target': 77.27999877929688, 'volume': 14000.0, 'ema_200': 57.43341382632242, 'adj_close': 80.5, 'rsi_lag_1': 52.75362593550874, 'rsi_lag_2': 50.55555286441241, 'rsi_lag_3': 57.10842639396603, 'rsi_lag_4': 50.230413589253565, 'rsi_lag_5': 41.823053088398076, 'macd_lag_1': 2.8095205196036375, 'macd_lag_2': 2.955773665204518, 'macd_lag_3': 3.092325548804581, 'macd_lag_4': 3.307163803467816, 'macd_lag_5': 3.668688930083846, 'macd_12_26_9': 1.9872477808618925, 'macds_12_26_9': 3.4704241366112636}, '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': 77.27999877929688, '2018-01-04': 81.9000015258789, '2018-01-05': 77.48999786376953, '2018-01-08': 77.41999816894531, '2018-01-09': 75.18000030517578, '2018-01-10': 78.05000305175781, '2018-01-11': 80.91999816894531, '2018-01-12': 82.66999816894531, '2018-01-16': 85.12000274658203}, '1_month_later': {'2018-02-02': 100.16999816894533}, '3_months_later': {'2018-04-02': 122.5}, '6_months_later': {'2018-07-02': 108.77999877929688}, '12_months_later': {'2019-01-02': 6.019999980926514}}
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.
ONB
{'date': '2018-01-02', 'ticker': 'ONB', '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': 17.350000381469727, 'high': 17.649999618530273, 'open': 17.649999618530273, 'close': 17.399999618530273, 'ema_50': 17.752573270241918, 'rsi_14': 43.99997253415873, 'target': 17.5, 'volume': 627500.0, 'ema_200': 17.207986424304192, 'adj_close': 16.11455726623535, 'rsi_lag_1': 42.307689486166936, 'rsi_lag_2': 51.111137484349136, 'rsi_lag_3': 47.7272628752602, 'rsi_lag_4': 43.749975164727395, 'rsi_lag_5': 37.50000851495737, 'macd_lag_1': -0.018497270278579947, 'macd_lag_2': 0.014404029015445019, 'macd_lag_3': 0.015461303987425623, 'macd_lag_4': 0.02676773664330767, 'macd_lag_5': 0.0357186758358381, 'macd_12_26_9': -0.04805254169795603, 'macds_12_26_9': 0.0013891279304413982}, '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': 17.5, '2018-01-04': 17.649999618530273, '2018-01-05': 17.600000381469727, '2018-01-08': 17.700000762939453, '2018-01-09': 17.899999618530273, '2018-01-10': 18.0, '2018-01-11': 18.39999961853028, '2018-01-12': 18.39999961853028, '2018-01-16': 18.25}, '1_month_later': {'2018-02-02': 17.549999237060547}, '3_months_later': {'2018-04-02': 16.549999237060547}, '6_months_later': {'2018-07-02': 18.850000381469727}, '12_months_later': {'2019-01-02': 15.539999961853027}}
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.
OI
{'date': '2018-01-02', 'ticker': 'OI', '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/movers/18/01/10973214/oceaneering-shares-spike-to-high-of-23-07-before-settling-in-at-22-88-up-3-2-o', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Owens-Illinois Shares Spike To High Of $23.07 Before Settling In At $22.88, Up 3.2% On The Morning', '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': 22.239999771118164, 'high': 23.06999969482422, 'open': 22.31999969482422, 'close': 22.84000015258789, 'ema_50': 23.29296774586631, 'rsi_14': 39.316234207308845, 'target': 22.56999969482422, 'volume': 1491700.0, 'ema_200': 22.90962627912981, 'adj_close': 22.385173797607425, 'rsi_lag_1': 24.7386532651563, 'rsi_lag_2': 22.257034173244904, 'rsi_lag_3': 13.175659130919058, 'rsi_lag_4': 12.662326000770548, 'rsi_lag_5': 19.999975389038013, 'macd_lag_1': -0.4549906789744007, 'macd_lag_2': -0.4673943011670829, 'macd_lag_3': -0.47744557605309623, 'macd_lag_4': -0.4507482077829117, 'macd_lag_5': -0.4284436239682172, 'macd_12_26_9': -0.38664036286296266, 'macds_12_26_9': -0.3983302645397573}, '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': 22.56999969482422, '2018-01-04': 22.440000534057617, '2018-01-05': 22.61000061035156, '2018-01-08': 22.51000022888184, '2018-01-09': 22.5, '2018-01-10': 22.1200008392334, '2018-01-11': 22.270000457763672, '2018-01-12': 22.440000534057617, '2018-01-16': 22.709999084472656}, '1_month_later': {'2018-02-02': 22.46999931335449}, '3_months_later': {'2018-04-02': 21.15999984741211}, '6_months_later': {'2018-07-02': 16.610000610351562}, '12_months_later': {'2019-01-02': 17.649999618530273}}
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.
OGS
{'date': '2018-01-02', 'ticker': 'OGS', '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': 72.05999755859375, 'high': 73.58000183105469, 'open': 73.58000183105469, 'close': 72.2699966430664, 'ema_50': 75.36019913327804, 'rsi_14': 27.171716704659474, 'target': 71.69000244140625, 'volume': 165800.0, 'ema_200': 72.45593445001934, 'adj_close': 68.04783630371094, 'rsi_lag_1': 27.96259535749097, 'rsi_lag_2': 28.75134995360723, 'rsi_lag_3': 27.30194827207356, 'rsi_lag_4': 21.01615387055054, 'rsi_lag_5': 19.934268581284343, 'macd_lag_1': -1.064713200851159, 'macd_lag_2': -1.070064584086083, 'macd_lag_3': -1.0755848025925019, 'macd_lag_4': -1.037458372958369, 'macd_lag_5': -0.8993772664581883, 'macd_12_26_9': -1.1273618350836045, 'macds_12_26_9': -0.8394767429197986}, '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': 71.69000244140625, '2018-01-04': 71.55000305175781, '2018-01-05': 71.1500015258789, '2018-01-08': 71.36000061035156, '2018-01-09': 70.5, '2018-01-10': 68.70999908447266, '2018-01-11': 69.27999877929688, '2018-01-12': 68.91000366210938, '2018-01-16': 68.98999786376953}, '1_month_later': {'2018-02-02': 69.26000213623047}, '3_months_later': {'2018-04-02': 65.55000305175781}, '6_months_later': {'2018-07-02': 75.66000366210938}, '12_months_later': {'2019-01-02': 76.66999816894531}}
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.
OGCP
{'date': '2018-01-02', 'ticker': 'OGCP', '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': 20.13999938964844, 'high': 20.299999237060547, 'open': 20.229999542236328, 'close': 20.170000076293945, 'ema_50': 20.31831310719103, 'rsi_14': 46.70655741824072, 'target': 20.030000686645508, 'volume': 5300.0, 'ema_200': 20.366295828573744, 'adj_close': 18.61344337463379, 'rsi_lag_1': 54.054029672244255, 'rsi_lag_2': 55.263164499144075, 'rsi_lag_3': 49.65985511891111, 'rsi_lag_4': 47.8873371865458, 'rsi_lag_5': 38.74994337539865, 'macd_lag_1': -0.009151626370531574, 'macd_lag_2': -0.018099171180427476, 'macd_lag_3': -0.0272200152965425, 'macd_lag_4': -0.02726553941918297, 'macd_lag_5': -0.02183622367982352, 'macd_12_26_9': -0.01878921337061712, 'macds_12_26_9': -0.011080534680263708}, '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': 20.030000686645508, '2018-01-04': 19.700000762939453, '2018-01-05': 19.770000457763672, '2018-01-08': 19.63999938964844, '2018-01-09': 19.479999542236328, '2018-01-10': 19.11000061035156, '2018-01-11': 19.0, '2018-01-12': 19.0, '2018-01-16': 18.90999984741211}, '1_month_later': {'2018-02-02': 19.38999938964844}, '3_months_later': {'2018-04-02': 16.420000076293945}, '6_months_later': {'2018-07-02': 16.719999313354492}, '12_months_later': {'2019-01-02': 13.75}}
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.
OFS
{'date': '2018-01-02', 'ticker': 'OFS', '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': 11.899999618530272, 'high': 12.09000015258789, 'open': 11.899999618530272, 'close': 11.979999542236328, 'ema_50': 12.32801629579745, 'rsi_14': 39.61038116582214, 'target': 12.15999984741211, 'volume': 44100.0, 'ema_200': 13.104430286601827, 'adj_close': 9.265819549560549, 'rsi_lag_1': 42.23603698592004, 'rsi_lag_2': 41.21213557413712, 'rsi_lag_3': 40.71856663573416, 'rsi_lag_4': 42.10529544596448, 'rsi_lag_5': 42.352978795377275, 'macd_lag_1': -0.1122267288346599, 'macd_lag_2': -0.10806940267358023, 'macd_lag_3': -0.10220942927525023, 'macd_lag_4': -0.10647966500044781, 'macd_lag_5': -0.10834493032786696, 'macd_12_26_9': -0.10782319582950173, 'macds_12_26_9': -0.10443740734930929}, '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': 12.15999984741211, '2018-01-04': 12.0600004196167, '2018-01-05': 11.989999771118164, '2018-01-08': 11.960000038146973, '2018-01-09': 11.970000267028809, '2018-01-10': 12.029999732971191, '2018-01-11': 12.140000343322754, '2018-01-12': 12.0600004196167, '2018-01-16': 12.020000457763672}, '1_month_later': {'2018-02-02': 11.449999809265137}, '3_months_later': {'2018-04-02': 11.109999656677246}, '6_months_later': {'2018-07-02': 11.6899995803833}, '12_months_later': {'2019-01-02': 10.770000457763672}}
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.
OFLX
{'date': '2018-01-02', 'ticker': 'OFLX', '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': 69.29000091552734, 'high': 72.5199966430664, 'open': 71.5, 'close': 69.70999908447266, 'ema_50': 67.05262383847929, 'rsi_14': 69.91909681575095, 'target': 69.33000183105469, 'volume': 23200.0, 'ema_200': 61.05265505954711, 'adj_close': 65.47587585449219, 'rsi_lag_1': 76.98971932138475, 'rsi_lag_2': 75.51777955963463, 'rsi_lag_3': 77.3024479323852, 'rsi_lag_4': 70.46555545976682, 'rsi_lag_5': 69.38870723248735, 'macd_lag_1': 2.0169554996840446, 'macd_lag_2': 2.077117696458444, 'macd_lag_3': 2.0860216855520406, 'macd_lag_4': 2.056862617022034, 'macd_lag_5': 2.074235541110639, 'macd_12_26_9': 1.8112217267907909, 'macds_12_26_9': 1.6544021364743138}, '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': 69.33000183105469, '2018-01-04': 68.48999786376953, '2018-01-05': 68.55000305175781, '2018-01-08': 66.87000274658203, '2018-01-09': 65.83999633789062, '2018-01-10': 65.56999969482422, '2018-01-11': 65.80000305175781, '2018-01-12': 66.19999694824219, '2018-01-16': 65.05000305175781}, '1_month_later': {'2018-02-02': 60.5}, '3_months_later': {'2018-04-02': 65.0}, '6_months_later': {'2018-07-02': 79.54000091552734}, '12_months_later': {'2019-01-02': 54.869998931884766}}
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.
OIH
{'date': '2018-01-02', 'ticker': 'OIH', '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/4134910-energy-stocks-stellar-start-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': 'Energy Stocks Off To A Stellar Start For 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': 517.4000244140625, 'high': 532.5999755859375, 'open': 521.7999877929688, 'close': 531.2000122070312, 'ema_50': 499.28511937597585, 'rsi_14': 68.6980893938151, 'target': 544.4000244140625, 'volume': 346200.0, 'ema_200': 516.7627889725426, 'adj_close': 519.8690795898438, 'rsi_lag_1': 68.16903672603415, 'rsi_lag_2': 69.37672514498968, 'rsi_lag_3': 72.80222912687773, 'rsi_lag_4': 62.796245031848194, 'rsi_lag_5': 53.48839354942877, 'macd_lag_1': 7.117167474339283, 'macd_lag_2': 6.535036957710872, 'macd_lag_3': 5.98206131784076, 'macd_lag_4': 4.904161852135701, 'macd_lag_5': 3.416307148627425, 'macd_12_26_9': 8.305821502750462, 'macds_12_26_9': 5.121860658934531}, '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': 544.4000244140625, '2018-01-04': 556.5999755859375, '2018-01-05': 557.5999755859375, '2018-01-08': 567.5999755859375, '2018-01-09': 563.5999755859375, '2018-01-10': 565.5999755859375, '2018-01-11': 579.7999877929688, '2018-01-12': 583.4000244140625, '2018-01-16': 570.2000122070312}, '1_month_later': {'2018-02-02': 536.5999755859375}, '3_months_later': {'2018-04-02': 466.0}, '6_months_later': {'2018-07-02': 511.0}, '12_months_later': {'2019-01-02': 287.3999938964844}}
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.
OFIX
{'date': '2018-01-02', 'ticker': 'OFIX', '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': 54.04999923706055, 'high': 55.150001525878906, 'open': 54.52000045776367, 'close': 54.540000915527344, 'ema_50': 52.65977812317317, 'rsi_14': 71.59472912131969, 'target': 54.02999877929688, 'volume': 69500.0, 'ema_200': 47.66524353419088, 'adj_close': 54.540000915527344, 'rsi_lag_1': 63.663251466575254, 'rsi_lag_2': 66.00307629575673, 'rsi_lag_3': 68.8639628481316, 'rsi_lag_4': 63.72283517131681, 'rsi_lag_5': 67.57924430502418, 'macd_lag_1': 0.7364929904211053, 'macd_lag_2': 0.7645985808670019, 'macd_lag_3': 0.7394594090033664, 'macd_lag_4': 0.7200350461759655, 'macd_lag_5': 0.7071689946524842, 'macd_12_26_9': 0.6933163378232479, 'macds_12_26_9': 0.6522764377725973}, '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': 54.02999877929688, '2018-01-04': 53.65999984741211, '2018-01-05': 54.7599983215332, '2018-01-08': 54.93999862670898, '2018-01-09': 54.58000183105469, '2018-01-10': 54.5099983215332, '2018-01-11': 54.2599983215332, '2018-01-12': 53.900001525878906, '2018-01-16': 52.77999877929688}, '1_month_later': {'2018-02-02': 57.18999862670898}, '3_months_later': {'2018-04-02': 56.869998931884766}, '6_months_later': {'2018-07-02': 56.880001068115234}, '12_months_later': {'2019-01-02': 51.619998931884766}}
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.
OFED
{'date': '2018-01-02', 'ticker': 'OFED', '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': 29.790000915527344, 'high': 29.790000915527344, 'open': 29.790000915527344, 'close': 29.790000915527344, 'ema_50': 29.289023033174953, 'rsi_14': 50.051922272862576, 'target': 29.54999923706055, 'volume': 300.0, 'ema_200': 27.682180135195313, 'adj_close': 28.618120193481445, 'rsi_lag_1': 45.711070715699144, 'rsi_lag_2': 27.777784141970912, 'rsi_lag_3': 37.37373931981263, 'rsi_lag_4': 36.633662618430286, 'rsi_lag_5': 43.83885891771098, 'macd_lag_1': -0.3801788636140202, 'macd_lag_2': -0.3948711617722047, 'macd_lag_3': -0.1838802186599473, 'macd_lag_4': -0.09212265833390632, 'macd_lag_5': 0.02633332096708685, 'macd_12_26_9': -0.2773837020173815, 'macds_12_26_9': -0.17306906038912417}, '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': 29.54999923706055, '2018-01-04': 29.34000015258789, '2018-01-05': 29.34000015258789, '2018-01-08': 29.34000015258789, '2018-01-09': 29.34000015258789, '2018-01-10': 29.34000015258789, '2018-01-11': 29.34000015258789, '2018-01-12': 29.78000068664551, '2018-01-16': 28.57999992370605}, '1_month_later': {'2018-02-02': 28.39999961853028}, '3_months_later': {'2018-04-02': 28.70000076293945}, '6_months_later': {'2018-07-02': 28.559999465942383}, '12_months_later': {'2019-01-02': 25.3700008392334}}
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.
OFC
{'date': '2018-01-02', 'ticker': 'OFC', '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': 29.020000457763672, 'high': 29.3799991607666, 'open': 29.26000022888184, 'close': 29.13999938964844, 'ema_50': 30.694370129329858, 'rsi_14': 31.538445173638394, 'target': 28.86000061035156, 'volume': 694000.0, 'ema_200': 31.884921366991783, 'adj_close': 29.13999938964844, 'rsi_lag_1': 30.827080069266913, 'rsi_lag_2': 35.20596521908085, 'rsi_lag_3': 44.37298187404732, 'rsi_lag_4': 40.88049974958524, 'rsi_lag_5': 30.74936113691733, 'macd_lag_1': -0.5069886615497197, 'macd_lag_2': -0.510531485203046, 'macd_lag_3': -0.5188273719142771, 'macd_lag_4': -0.5208511549662518, 'macd_lag_5': -0.5077127744848369, 'macd_12_26_9': -0.5032217307841442, 'macds_12_26_9': -0.4938526861441362}, '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': 28.86000061035156, '2018-01-04': 27.96999931335449, '2018-01-05': 28.13999938964844, '2018-01-08': 28.14999961853028, '2018-01-09': 27.93000030517578, '2018-01-10': 27.65999984741211, '2018-01-11': 27.799999237060547, '2018-01-12': 27.14999961853028, '2018-01-16': 27.450000762939453}, '1_month_later': {'2018-02-02': 26.8799991607666}, '3_months_later': {'2018-04-02': 25.61000061035156}, '6_months_later': {'2018-07-02': 28.82999992370605}, '12_months_later': {'2019-01-02': 21.040000915527344}}
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.
OEUR
{'date': '2018-01-02', 'ticker': 'OEUR', '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': 25.239999771118164, 'high': 25.608999252319336, 'open': 25.46999931335449, 'close': 25.584999084472656, 'ema_50': 25.279134964220912, 'rsi_14': 59.43692324964427, 'target': 25.57999992370605, 'volume': 10900.0, 'ema_200': 24.737310133774145, 'adj_close': 23.546884536743164, 'rsi_lag_1': 60.27565717454393, 'rsi_lag_2': 55.20195824145803, 'rsi_lag_3': 49.73892257317514, 'rsi_lag_4': 49.44194807211582, 'rsi_lag_5': 46.30994903195905, 'macd_lag_1': 0.035572802997709374, 'macd_lag_2': 0.023317194704979727, 'macd_lag_3': 0.013444459275227416, 'macd_lag_4': 0.01490218631963458, 'macd_lag_5': 0.02367325869195014, 'macd_12_26_9': 0.05394315815389206, 'macds_12_26_9': 0.028803365768831007}, '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': 25.57999992370605, '2018-01-04': 25.857999801635746, '2018-01-05': 26.049999237060547, '2018-01-08': 25.90999984741211, '2018-01-09': 25.96999931335449, '2018-01-10': 25.56999969482422, '2018-01-11': 25.75, '2018-01-12': 26.15399932861328, '2018-01-16': 26.1299991607666}, '1_month_later': {'2018-02-02': 25.75}, '3_months_later': {'2018-04-02': 24.0009994506836}, '6_months_later': {'2018-07-02': 23.65999984741211}, '12_months_later': {'2019-01-02': 21.6299991607666}}
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.
OESX
{'date': '2018-01-02', 'ticker': 'OESX', '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': 0.8799999952316284, 'high': 0.9100000262260436, 'open': 0.8799999952316284, 'close': 0.8899999856948853, 'ema_50': 0.910704324864824, 'rsi_14': 50.0, 'target': 0.8700000047683716, 'volume': 46800.0, 'ema_200': 1.1556543001680357, 'adj_close': 0.8899999856948853, 'rsi_lag_1': 50.0, 'rsi_lag_2': 41.176482962896465, 'rsi_lag_3': 47.36842435482697, 'rsi_lag_4': 36.000004768370424, 'rsi_lag_5': 40.74073992311887, 'macd_lag_1': -0.011396902976509415, 'macd_lag_2': -0.012953240003712563, 'macd_lag_3': -0.013733100380302732, 'macd_lag_4': -0.014528731619073532, 'macd_lag_5': -0.01533291939482695, 'macd_12_26_9': -0.009249951331614437, 'macds_12_26_9': -0.012176897903531854}, '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': 0.8700000047683716, '2018-01-04': 0.8700000047683716, '2018-01-05': 0.8700000047683716, '2018-01-08': 0.8600000143051147, '2018-01-09': 0.8500000238418579, '2018-01-10': 0.8500000238418579, '2018-01-11': 0.8500000238418579, '2018-01-12': 0.8500000238418579, '2018-01-16': 0.8700000047683716}, '1_month_later': {'2018-02-02': 0.7900000214576721}, '3_months_later': {'2018-04-02': 0.8299999833106995}, '6_months_later': {'2018-07-02': 1.0800000429153442}, '12_months_later': {'2019-01-02': 0.6700000166893005}}
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.
OEG
{'date': '2018-01-02', 'ticker': 'OEG', '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': 0.1899999976158142, 'high': 0.1899999976158142, 'open': 0.1899999976158142, 'close': 0.1899999976158142, 'ema_50': 2.311006410628251, 'rsi_14': 39.65903454374215, 'target': 0.1899999976158142, 'volume': 6002.0, 'ema_200': 2.1662283311570554, 'adj_close': 0.1899999976158142, 'rsi_lag_1': 39.66890734808661, 'rsi_lag_2': 49.75604692661541, 'rsi_lag_3': 41.97390353381674, 'rsi_lag_4': 49.67722334103105, 'rsi_lag_5': 43.77593360892399, 'macd_lag_1': -0.49729218342197123, 'macd_lag_2': -0.3436627702782151, 'macd_lag_3': -0.14614067866109925, 'macd_lag_4': 0.10809501905618157, 'macd_lag_5': 0.4371290186536285, 'macd_12_26_9': -0.6127876820859275, 'macds_12_26_9': 0.0074853757700904374}, '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': 0.1899999976158142, '2018-01-04': 0.1850000023841858, '2018-01-05': 0.1599999964237213, '2018-01-08': 0.2199999988079071, '2018-01-09': 0.1850000023841858, '2018-01-10': 0.1700000017881393, '2018-01-11': 0.1550000011920929, '2018-01-16': 0.1150000020861625}}
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.
oef
{'date': '2018-01-02', 'ticker': 'oef', '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': 118.88999938964844, 'high': 119.54000091552734, 'open': 119.0199966430664, 'close': 119.54000091552734, 'ema_50': 116.45658317230995, 'rsi_14': 60.30157304117456, 'target': 120.23999786376952, 'volume': 448600.0, 'ema_200': 110.55899588345748, 'adj_close': 108.53675842285156, 'rsi_lag_1': 57.904115826390544, 'rsi_lag_2': 67.01034036149325, 'rsi_lag_3': 67.12334314880772, 'rsi_lag_4': 66.55058609611737, 'rsi_lag_5': 66.20449460784621, 'macd_lag_1': 0.899848745900286, 'macd_lag_2': 0.9782779185308215, 'macd_lag_3': 1.0183346944159553, 'macd_lag_4': 1.0739944918499447, 'macd_lag_5': 1.139596558058372, 'macd_12_26_9': 0.89994169538069, 'macds_12_26_9': 1.0169267166079938}, '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': 120.23999786376952, '2018-01-04': 120.81999969482422, '2018-01-05': 121.68000030517578, '2018-01-08': 121.76000213623048, '2018-01-09': 122.12000274658205, '2018-01-10': 122.01000213623048, '2018-01-11': 122.83000183105467, '2018-01-12': 123.72000122070312, '2018-01-16': 123.41999816894533}, '1_month_later': {'2018-02-02': 122.72000122070312}, '3_months_later': {'2018-04-02': 113.3000030517578}, '6_months_later': {'2018-07-02': 120.0500030517578}, '12_months_later': {'2019-01-02': 111.9000015258789}}
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.
OEC
{'date': '2018-01-02', 'ticker': 'OEC', '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': 25.39999961853028, 'high': 25.950000762939453, 'open': 25.600000381469727, 'close': 25.89999961853028, 'ema_50': 23.741673262760433, 'rsi_14': 92.3077073558166, 'target': 26.14999961853028, 'volume': 506600.0, 'ema_200': 21.81487842330917, 'adj_close': 23.86221504211425, 'rsi_lag_1': 91.66668432730964, 'rsi_lag_2': 86.76473063170307, 'rsi_lag_3': 87.50001986823389, 'rsi_lag_4': 73.49398587089857, 'rsi_lag_5': 58.510635707537524, 'macd_lag_1': 0.48240375514041034, 'macd_lag_2': 0.4134366329592041, 'macd_lag_3': 0.3550322848272458, 'macd_lag_4': 0.28550484972734225, 'macd_lag_5': 0.20279161904435128, 'macd_12_26_9': 0.5548719096046995, 'macds_12_26_9': 0.30925744540015176}, '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': 26.14999961853028, '2018-01-04': 26.75, '2018-01-05': 27.049999237060547, '2018-01-08': 27.450000762939453, '2018-01-09': 27.200000762939453, '2018-01-10': 27.299999237060547, '2018-01-11': 27.25, '2018-01-12': 27.0, '2018-01-16': 27.25}, '1_month_later': {'2018-02-02': 28.950000762939453}, '3_months_later': {'2018-04-02': 26.39999961853028}, '6_months_later': {'2018-07-02': 30.549999237060547}, '12_months_later': {'2019-01-02': 25.520000457763672}}
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.
ODP
{'date': '2018-01-02', 'ticker': 'ODP', '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': 35.0, 'high': 35.900001525878906, 'open': 35.5, 'close': 35.599998474121094, 'ema_50': 34.999493920508485, 'rsi_14': 61.53844649035934, 'target': 35.0, 'volume': 379900.0, 'ema_200': 41.70296756458001, 'adj_close': 32.387977600097656, 'rsi_lag_1': 65.517230795539, 'rsi_lag_2': 62.63737092917579, 'rsi_lag_3': 63.44085580449068, 'rsi_lag_4': 64.83516529582131, 'rsi_lag_5': 53.84615707074921, 'macd_lag_1': 0.47429202197347564, 'macd_lag_2': 0.4309947754123158, 'macd_lag_3': 0.36946272943190195, 'macd_lag_4': 0.31609722540414964, 'macd_lag_5': 0.2128398935329443, 'macd_12_26_9': 0.5187635013672107, 'macds_12_26_9': 0.2885085550590631}, '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': 35.0, '2018-01-04': 33.599998474121094, '2018-01-05': 34.0, '2018-01-08': 34.0, '2018-01-09': 33.5, '2018-01-10': 33.70000076293945, '2018-01-11': 35.099998474121094, '2018-01-12': 35.900001525878906, '2018-01-16': 36.09999847412109}, '1_month_later': {'2018-02-02': 32.400001525878906}, '3_months_later': {'2018-04-02': 20.799999237060547}, '6_months_later': {'2018-07-02': 25.600000381469727}, '12_months_later': {'2019-01-02': 26.299999237060547}}
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.
OFG
{'date': '2018-01-02', 'ticker': 'OFG', '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': 8.75, 'high': 9.449999809265137, 'open': 9.399999618530272, 'close': 8.949999809265137, 'ema_50': 9.212385996128084, 'rsi_14': 32.07546626600332, 'target': 8.850000381469727, 'volume': 536700.0, 'ema_200': 9.696160871520453, 'adj_close': 8.573643684387207, 'rsi_lag_1': 51.785705162548744, 'rsi_lag_2': 44.44443659526698, 'rsi_lag_3': 43.39623388424551, 'rsi_lag_4': 46.93878186538784, 'rsi_lag_5': 45.098037749058676, 'macd_lag_1': 0.02793811102629462, 'macd_lag_2': 0.0260127788927349, 'macd_lag_3': 0.04863153273110221, 'macd_lag_4': 0.08697567980242482, 'macd_lag_5': 0.10919710853997167, 'macd_12_26_9': -0.006769241585674379, 'macds_12_26_9': 0.07316921532126301}, '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': 8.850000381469727, '2018-01-04': 9.0, '2018-01-05': 9.199999809265137, '2018-01-08': 8.600000381469727, '2018-01-09': 8.699999809265137, '2018-01-10': 9.050000190734863, '2018-01-11': 9.149999618530272, '2018-01-12': 9.25, '2018-01-16': 9.149999618530272}, '1_month_later': {'2018-02-02': 11.600000381469728}, '3_months_later': {'2018-04-02': 10.600000381469728}, '6_months_later': {'2018-07-02': 14.699999809265137}, '12_months_later': {'2019-01-02': 16.6299991607666}}
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.
ONCS
{'date': '2018-01-02', 'ticker': 'ONCS', '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': 16.299999237060547, 'high': 19.0, 'open': 16.299999237060547, 'close': 18.700000762939453, 'ema_50': 16.741078539728985, 'rsi_14': 58.13954158883872, 'target': 18.700000762939453, 'volume': 114700.0, 'ema_200': 14.186785268348718, 'adj_close': 18.700000762939453, 'rsi_lag_1': 41.269839828157004, 'rsi_lag_2': 45.312496740370804, 'rsi_lag_3': 40.27776821160124, 'rsi_lag_4': 34.939757651800846, 'rsi_lag_5': 29.999995231628418, 'macd_lag_1': -0.4323001160205173, 'macd_lag_2': -0.4030901746278275, 'macd_lag_3': -0.38030825184586803, 'macd_lag_4': -0.37624385451438513, 'macd_lag_5': -0.3859472817176446, 'macd_12_26_9': -0.2588057875142411, 'macds_12_26_9': -0.2552486296512893}, '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': 18.700000762939453, '2018-01-04': 20.100000381469727, '2018-01-05': 19.600000381469727, '2018-01-08': 19.200000762939453, '2018-01-09': 18.799999237060547, '2018-01-10': 19.39999961853028, '2018-01-11': 20.0, '2018-01-12': 19.39999961853028, '2018-01-16': 18.299999237060547}, '1_month_later': {'2018-02-02': 16.600000381469727}, '3_months_later': {'2018-04-02': 19.700000762939453}, '6_months_later': {'2018-07-02': 13.399999618530272}, '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.
OII
{'date': '2018-01-02', 'ticker': 'OII', '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': 21.040000915527344, 'high': 21.81999969482422, 'open': 21.15999984741211, 'close': 21.68000030517578, 'ema_50': 20.618665725710258, 'rsi_14': 72.74474206665171, 'target': 22.530000686645508, 'volume': 1262100.0, 'ema_200': 23.470142868376254, 'adj_close': 21.68000030517578, 'rsi_lag_1': 72.37355269593192, 'rsi_lag_2': 72.90077739076679, 'rsi_lag_3': 72.53386468587557, 'rsi_lag_4': 63.344602377163575, 'rsi_lag_5': 52.79503804630474, 'macd_lag_1': 0.22031165377319795, 'macd_lag_2': 0.14322322378195196, 'macd_lag_3': 0.074310690052247, 'macd_lag_4': 0.007672285232580123, 'macd_lag_5': -0.10193048867267507, 'macd_12_26_9': 0.3212748938508767, 'macds_12_26_9': -0.00895741555572737}, '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': 22.530000686645508, '2018-01-04': 23.040000915527344, '2018-01-05': 23.14999961853028, '2018-01-08': 23.450000762939453, '2018-01-09': 22.96999931335449, '2018-01-10': 22.549999237060547, '2018-01-11': 23.059999465942383, '2018-01-12': 22.440000534057617, '2018-01-16': 22.1299991607666}, '1_month_later': {'2018-02-02': 20.40999984741211}, '3_months_later': {'2018-04-02': 17.950000762939453}, '6_months_later': {'2018-07-02': 24.979999542236328}, '12_months_later': {'2019-01-02': 12.640000343322754}}
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.
OMP
{'date': '2018-01-02', 'ticker': 'OMP', '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': 17.0, 'high': 17.610000610351562, 'open': 17.489999771118164, 'close': 17.280000686645508, 'ema_50': 17.590622164050195, 'rsi_14': 29.46431688503212, 'target': 17.530000686645508, 'volume': 38400.0, 'ema_200': 17.11937593427684, 'adj_close': 13.238739013671877, 'rsi_lag_1': 34.86241742858388, 'rsi_lag_2': 24.870512918071967, 'rsi_lag_3': 31.770832298531474, 'rsi_lag_4': 26.406937130193313, 'rsi_lag_5': 41.4545638659641, 'macd_lag_1': -0.08754504847301803, 'macd_lag_2': -0.07286408793645904, 'macd_lag_3': -0.024556841659538975, 'macd_lag_4': 0.023203477975666686, 'macd_lag_5': 0.07364365106258575, 'macd_12_26_9': -0.11081308175279503, 'macds_12_26_9': 0.018593575418010624}, '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': 17.530000686645508, '2018-01-04': 17.790000915527344, '2018-01-05': 18.0, '2018-01-08': 18.350000381469727, '2018-01-09': 18.350000381469727, '2018-01-10': 18.350000381469727, '2018-01-11': 18.420000076293945, '2018-01-12': 18.46999931335449, '2018-01-16': 18.75}, '1_month_later': {'2018-02-02': 19.239999771118164}, '3_months_later': {'2018-04-02': 17.850000381469727}, '6_months_later': {'2018-07-02': 18.1299991607666}, '12_months_later': {'2019-01-02': 17.25}}
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.
OMFS
{'date': '2018-01-02', 'ticker': 'OMFS', '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': 25.850000381469727, 'high': 25.850000381469727, 'open': 25.850000381469727, 'close': 25.850000381469727, 'ema_50': 25.71567858347439, 'rsi_14': 45.62501490117537, 'target': 25.850000381469727, 'volume': 100.0, 'ema_200': 25.290186588021506, 'adj_close': 24.92475891113281, 'rsi_lag_1': 36.13865125677478, 'rsi_lag_2': 31.739121060286962, 'rsi_lag_3': 31.739121060286962, 'rsi_lag_4': 31.739121060286962, 'rsi_lag_5': 31.739121060286962, 'macd_lag_1': 0.10730698810509054, 'macd_lag_2': 0.13469527528758007, 'macd_lag_3': 0.14122073452836048, 'macd_lag_4': 0.14749547363889803, 'macd_lag_5': 0.15335893375978316, 'macd_12_26_9': 0.08462605668741219, 'macds_12_26_9': 0.14029653462698993}, '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': 25.850000381469727, '2018-01-04': 25.850000381469727, '2018-01-05': 25.850000381469727, '2018-01-08': 25.850000381469727, '2018-01-09': 26.01099967956543, '2018-01-10': 26.01099967956543, '2018-01-11': 26.01099967956543, '2018-01-12': 26.01099967956543, '2018-01-16': 26.15999984741211}, '1_month_later': {'2018-02-02': 26.21699905395508}, '3_months_later': {'2018-04-02': 24.951000213623047}, '6_months_later': {'2018-07-02': 27.100000381469727}, '12_months_later': {'2019-01-02': 23.367000579833984}}
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.
OMFL
{'date': '2018-01-02', 'ticker': 'OMFL', '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': 26.100000381469727, 'high': 26.100000381469727, 'open': 26.100000381469727, 'close': 26.100000381469727, 'ema_50': 25.643806458821132, 'rsi_14': 69.87951530360202, 'target': 26.170000076293945, 'volume': 0.0, 'ema_200': 25.362279557661928, 'adj_close': 23.92351150512696, 'rsi_lag_1': 69.87951530360202, 'rsi_lag_2': 76.1905021407698, 'rsi_lag_3': 79.60201932018792, 'rsi_lag_4': 79.1878379006402, 'rsi_lag_5': 78.64586334258571, 'macd_lag_1': 0.20947780335235322, 'macd_lag_2': 0.22049306522331946, 'macd_lag_3': 0.23134537306264846, 'macd_lag_4': 0.23725001460128325, 'macd_lag_5': 0.24337198528869664, 'macd_12_26_9': 0.1984604009935893, 'macds_12_26_9': 0.21247454292682383}, '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': 26.170000076293945, '2018-01-04': 26.170000076293945, '2018-01-05': 26.170000076293945, '2018-01-08': 26.170000076293945, '2018-01-09': 26.71500015258789, '2018-01-10': 26.540000915527344, '2018-01-11': 26.663000106811523, '2018-01-12': 26.88999938964844, '2018-01-16': 26.75}, '1_month_later': {'2018-02-02': 26.440000534057617}, '3_months_later': {'2018-04-02': 25.21500015258789}, '6_months_later': {'2018-07-02': 26.525999069213867}, '12_months_later': {'2019-01-02': 24.97599983215332}}
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.
OMF
{'date': '2018-01-02', 'ticker': 'OMF', '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': 25.64999961853028, 'high': 26.299999237060547, 'open': 26.170000076293945, 'close': 26.299999237060547, 'ema_50': 26.475831723239395, 'rsi_14': 39.088716073619175, 'target': 26.63999938964844, 'volume': 1243200.0, 'ema_200': 26.58486115319622, 'adj_close': 26.299999237060547, 'rsi_lag_1': 47.19333878441852, 'rsi_lag_2': 45.25250633664479, 'rsi_lag_3': 50.816699113549284, 'rsi_lag_4': 53.119094740508416, 'rsi_lag_5': 47.5095742041471, 'macd_lag_1': -0.22515953588744608, 'macd_lag_2': -0.2717784168936319, 'macd_lag_3': -0.3242733054009861, 'macd_lag_4': -0.33768648889865815, 'macd_lag_5': -0.373312920297586, 'macd_12_26_9': -0.1613395488030065, 'macds_12_26_9': -0.29709075235859345}, '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': 26.63999938964844, '2018-01-04': 34.400001525878906, '2018-01-05': 34.529998779296875, '2018-01-08': 33.91999816894531, '2018-01-09': 33.77000045776367, '2018-01-10': 33.52000045776367, '2018-01-11': 34.09000015258789, '2018-01-12': 34.08000183105469, '2018-01-16': 33.59000015258789}, '1_month_later': {'2018-02-02': 31.739999771118164}, '3_months_later': {'2018-04-02': 29.350000381469727}, '6_months_later': {'2018-07-02': 33.599998474121094}, '12_months_later': {'2019-01-02': 24.59000015258789}}
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.
OMEX
{'date': '2018-01-02', 'ticker': 'OMEX', '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': 3.759999990463257, 'high': 3.950000047683716, 'open': 3.815000057220459, 'close': 3.950000047683716, 'ema_50': 3.9427357856280643, 'rsi_14': 47.49263188306887, 'target': 3.890000104904175, 'volume': 19500.0, 'ema_200': 3.9439740568058843, 'adj_close': 3.950000047683716, 'rsi_lag_1': 42.5806454590034, 'rsi_lag_2': 45.16327631462202, 'rsi_lag_3': 50.34340624476515, 'rsi_lag_4': 46.900071125610594, 'rsi_lag_5': 52.11865098828398, 'macd_lag_1': -0.02365362155053541, 'macd_lag_2': -0.012536334947522931, 'macd_lag_3': 0.00285389294490912, 'macd_lag_4': 0.004128629487680335, 'macd_lag_5': 0.014859255964127627, 'macd_12_26_9': -0.017735209756872816, 'macds_12_26_9': -0.0022310365234665215}, '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': 3.890000104904175, '2018-01-04': 3.825000047683716, '2018-01-05': 3.759999990463257, '2018-01-08': 3.759999990463257, '2018-01-09': 3.660000085830689, '2018-01-10': 3.7300000190734863, '2018-01-11': 3.7799999713897705, '2018-01-12': 3.7300000190734863, '2018-01-16': 3.740000009536743}, '1_month_later': {'2018-02-02': 3.819999933242798}, '3_months_later': {'2018-04-02': 8.119999885559082}, '6_months_later': {'2018-07-02': 8.09000015258789}, '12_months_later': {'2019-01-02': 3.630000114440918}}
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.
OMER
{'date': '2018-01-02', 'ticker': 'OMER', '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/4134957-avisol-top-biotech-picks-2018-high-conviction-list?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Avisol Top Biotech Picks 2018: The High Conviction List', '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': 19.43000030517578, 'high': 20.290000915527344, 'open': 19.46999931335449, 'close': 20.15999984741211, 'ema_50': 19.22223606628413, 'rsi_14': 69.81130620443386, 'target': 19.76000022888184, 'volume': 429800.0, 'ema_200': 18.14368788325014, 'adj_close': 20.15999984741211, 'rsi_lag_1': 47.81490977361396, 'rsi_lag_2': 43.2558166355354, 'rsi_lag_3': 48.131867763343024, 'rsi_lag_4': 54.24106068985546, 'rsi_lag_5': 42.408385677241945, 'macd_lag_1': 0.24496054621668506, 'macd_lag_2': 0.28305474145785325, 'macd_lag_3': 0.3133051438348069, 'macd_lag_4': 0.33921304490827, 'macd_lag_5': 0.33578335782014435, 'macd_12_26_9': 0.2705566752948272, 'macds_12_26_9': 0.3051679245703263}, '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': 19.76000022888184, '2018-01-04': 19.700000762939453, '2018-01-05': 19.420000076293945, '2018-01-08': 19.299999237060547, '2018-01-09': 19.3700008392334, '2018-01-10': 19.84000015258789, '2018-01-11': 19.729999542236328, '2018-01-12': 19.600000381469727, '2018-01-16': 18.07999992370605}, '1_month_later': {'2018-02-02': 15.1899995803833}, '3_months_later': {'2018-04-02': 10.789999961853027}, '6_months_later': {'2018-07-02': 18.51000022888184}, '12_months_later': {'2019-01-02': 11.850000381469728}}
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.
OMC
{'date': '2018-01-02', 'ticker': 'OMC', '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/18/01/10971618/macquarie-downgrades-omnicom-group-to-underperform', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Macquarie Downgrades Omnicom Group to Underperform', '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': 71.3499984741211, 'high': 73.36000061035156, 'open': 72.66000366210938, 'close': 72.7699966430664, 'ema_50': 72.49576231061945, 'rsi_14': 35.87141881573224, 'target': 70.36000061035156, 'volume': 3065200.0, 'ema_200': 76.26126428770448, 'adj_close': 66.67222595214844, 'rsi_lag_1': 45.22760958679279, 'rsi_lag_2': 52.33788755263166, 'rsi_lag_3': 43.75791919415435, 'rsi_lag_4': 38.6574419518484, 'rsi_lag_5': 43.93774292648981, 'macd_lag_1': 0.5836484696414459, 'macd_lag_2': 0.6904960900706811, 'macd_lag_3': 0.7587925953626637, 'macd_lag_4': 0.826781147022686, 'macd_lag_5': 0.9147702152529291, 'macd_12_26_9': 0.4884979432589063, 'macds_12_26_9': 0.7516407184757586}, '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': 70.36000061035156, '2018-01-04': 71.05999755859375, '2018-01-05': 72.16999816894531, '2018-01-08': 72.41000366210938, '2018-01-09': 72.08000183105469, '2018-01-10': 72.69999694824219, '2018-01-11': 74.31999969482422, '2018-01-12': 75.91999816894531, '2018-01-16': 74.31999969482422}, '1_month_later': {'2018-02-02': 74.91000366210938}, '3_months_later': {'2018-04-02': 71.2699966430664}, '6_months_later': {'2018-07-02': 75.5}, '12_months_later': {'2019-01-02': 72.70999908447266}}
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.
OIIM
{'date': '2018-01-02', 'ticker': 'OIIM', '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': 1.6799999475479126, 'high': 1.7699999809265137, 'open': 1.6799999475479126, 'close': 1.7699999809265137, 'ema_50': 1.728797720097999, 'rsi_14': 62.162174353039504, 'target': 1.75, 'volume': 8300.0, 'ema_200': 1.8335396371640813, 'adj_close': 1.7699999809265137, 'rsi_lag_1': 53.33333333333334, 'rsi_lag_2': 41.37931034482759, 'rsi_lag_3': 41.37931034482759, 'rsi_lag_4': 34.28570260806244, 'rsi_lag_5': 29.999991059297415, 'macd_lag_1': -0.039267390544073466, 'macd_lag_2': -0.0440255321851597, 'macd_lag_3': -0.045385556386599246, 'macd_lag_4': -0.044424926580113766, 'macd_lag_5': -0.04458899457118859, 'macd_12_26_9': -0.027114800284680163, 'macds_12_26_9': -0.03919698322271092}, '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': 1.75, '2018-01-04': 1.690000057220459, '2018-01-05': 1.7400000095367432, '2018-01-08': 1.6799999475479126, '2018-01-09': 1.6699999570846558, '2018-01-10': 1.659999966621399, '2018-01-11': 1.659999966621399, '2018-01-12': 1.6100000143051147, '2018-01-16': 1.6200000047683716}, '1_month_later': {'2018-02-02': 1.4600000381469729}, '3_months_later': {'2018-04-02': 1.399999976158142}, '6_months_later': {'2018-07-02': 1.7799999713897705}, '12_months_later': {'2019-01-02': 1.5499999523162842}}
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.
OMAB
{'date': '2018-01-02', 'ticker': 'OMAB', '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': 41.5099983215332, 'high': 43.959999084472656, 'open': 41.52000045776367, 'close': 42.81999969482422, 'ema_50': 41.49960592335171, 'rsi_14': 60.697297911648924, 'target': 43.16999816894531, 'volume': 225300.0, 'ema_200': 43.20936193438958, 'adj_close': 39.65884780883789, 'rsi_lag_1': 53.731324163345995, 'rsi_lag_2': 43.05836029335575, 'rsi_lag_3': 45.12924470492589, 'rsi_lag_4': 39.67610585710634, 'rsi_lag_5': 41.96787840766249, 'macd_lag_1': 0.07664326709879532, 'macd_lag_2': 0.05279208100068189, 'macd_lag_3': 0.09692664660472161, 'macd_lag_4': 0.1447213174611619, 'macd_lag_5': 0.23518343619902282, 'macd_12_26_9': 0.20135126533538994, 'macds_12_26_9': 0.1784136613757747}, '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': 43.16999816894531, '2018-01-04': 43.54999923706055, '2018-01-05': 43.68999862670898, '2018-01-08': 43.2400016784668, '2018-01-09': 42.560001373291016, '2018-01-10': 41.459999084472656, '2018-01-11': 40.869998931884766, '2018-01-12': 41.5099983215332, '2018-01-16': 42.75}, '1_month_later': {'2018-02-02': 40.869998931884766}, '3_months_later': {'2018-04-02': 38.95000076293945}, '6_months_later': {'2018-07-02': 40.91999816894531}, '12_months_later': {'2019-01-02': 40.27999877929688}}
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.
OLLI
{'date': '2018-01-02', 'ticker': 'OLLI', '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': 53.25, 'open': 53.20000076293945, 'close': 51.95000076293945, 'ema_50': 48.76892186501015, 'rsi_14': 60.4060850797349, 'target': 52.79999923706055, 'volume': 919400.0, 'ema_200': 42.96312137919858, 'adj_close': 51.95000076293945, 'rsi_lag_1': 69.7674367026845, 'rsi_lag_2': 75.93580378678828, 'rsi_lag_3': 59.99999321832056, 'rsi_lag_4': 62.1145309302882, 'rsi_lag_5': 64.75409759177077, 'macd_lag_1': 1.7590056639877787, 'macd_lag_2': 1.7908196821963216, 'macd_lag_3': 1.7697414436036851, 'macd_lag_4': 1.7527324608944355, 'macd_lag_5': 1.6851648094877874, 'macd_12_26_9': 1.6103308597114463, 'macds_12_26_9': 1.6081237970900863}, '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': 52.79999923706055, '2018-01-04': 52.09999847412109, '2018-01-05': 53.5, '2018-01-08': 50.84999847412109, '2018-01-09': 51.0, '2018-01-10': 51.84999847412109, '2018-01-11': 54.0, '2018-01-12': 55.5, '2018-01-16': 54.650001525878906}, '1_month_later': {'2018-02-02': 53.75}, '3_months_later': {'2018-04-02': 59.20000076293945}, '6_months_later': {'2018-07-02': 70.6500015258789}, '12_months_later': {'2019-01-02': 66.25}}
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.
OLEM
{'date': '2018-01-02', 'ticker': 'OLEM', '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': 17.709999084472656, 'high': 17.709999084472656, 'open': 17.709999084472656, 'close': 17.709999084472656, 'ema_50': 16.629308598297317, 'rsi_14': 100.0, 'target': 18.06999969482422, 'volume': 0.0, 'ema_200': 15.696033239112552, 'adj_close': 17.709999084472656, 'rsi_lag_1': 100.0, 'rsi_lag_2': 100.0, 'rsi_lag_3': 100.0, 'rsi_lag_4': 64.3749508262384, 'rsi_lag_5': 61.744950978697915, 'macd_lag_1': 0.2711517644327941, 'macd_lag_2': 0.24412126617414742, 'macd_lag_3': 0.2131969079981353, 'macd_lag_4': 0.18487961911952766, 'macd_lag_5': 0.14604730321818593, 'macd_12_26_9': 0.2892394566362064, 'macds_12_26_9': 0.2082924423053735}, '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': 18.06999969482422, '2018-01-04': 18.040000915527344, '2018-01-05': 18.030000686645508, '2018-01-08': 18.030000686645508, '2018-01-09': 18.540000915527344, '2018-01-10': 18.540000915527344, '2018-01-11': 18.8799991607666, '2018-01-12': 18.8799991607666, '2018-01-16': 18.690000534057617}, '1_month_later': {'2018-02-02': 18.8799991607666}, '3_months_later': {'2018-04-02': 18.75}, '6_months_later': {'2018-07-02': 20.96999931335449}, '12_months_later': {'2019-01-02': 14.760000228881836}}
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.
OLED
{'date': '2018-01-02', 'ticker': 'OLED', '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/news/3320729-universal-display-discussing-expired-agreements-samsung?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Universal Display discussing expired agreements with Samsung', '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': 172.0500030517578, 'high': 176.35000610351562, 'open': 173.64999389648438, 'close': 173.75, 'ema_50': 165.98192740766572, 'rsi_14': 53.07581011191511, 'target': 180.3999938964844, 'volume': 560300.0, 'ema_200': 130.76268862368738, 'adj_close': 172.6271209716797, 'rsi_lag_1': 49.92846493209953, 'rsi_lag_2': 59.764082779010806, 'rsi_lag_3': 65.41353412212462, 'rsi_lag_4': 56.371198512162664, 'rsi_lag_5': 62.23241133573618, 'macd_lag_1': 1.6929143687622172, 'macd_lag_2': 2.0078747972006568, 'macd_lag_3': 2.161763360274989, 'macd_lag_4': 2.1689188029977515, 'macd_lag_5': 2.7319583854839493, 'macd_12_26_9': 1.5146078035280937, 'macds_12_26_9': 2.2359157045225677}, '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': 180.3999938964844, '2018-01-04': 176.5, '2018-01-05': 179.3000030517578, '2018-01-08': 194.8500061035156, '2018-01-09': 194.8500061035156, '2018-01-10': 192.6000061035156, '2018-01-11': 197.8000030517578, '2018-01-12': 196.6000061035156, '2018-01-16': 198.3999938964844}, '1_month_later': {'2018-02-02': 155.85000610351562}, '3_months_later': {'2018-04-02': 97.5500030517578}, '6_months_later': {'2018-07-02': 83.8499984741211}, '12_months_later': {'2019-01-02': 91.16000366210938}}
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.
OKTA
{'date': '2018-01-02', 'ticker': 'OKTA', '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': 25.32999992370605, 'high': 26.5, 'open': 25.549999237060547, 'close': 26.459999084472656, 'ema_50': 27.333741354874462, 'rsi_14': 49.693244354888726, 'target': 26.489999771118164, 'volume': 1635300.0, 'ema_200': 26.2690929300062, 'adj_close': 26.459999084472656, 'rsi_lag_1': 33.54565245914378, 'rsi_lag_2': 24.04870619629952, 'rsi_lag_3': 32.574689784561855, 'rsi_lag_4': 33.80480187853614, 'rsi_lag_5': 28.767136013665507, 'macd_lag_1': -0.8019834780093404, 'macd_lag_2': -0.8220910079236745, 'macd_lag_3': -0.8510705289676181, 'macd_lag_4': -0.9011342735878181, 'macd_lag_5': -0.95803544563773, 'macd_12_26_9': -0.7092841563174019, 'macds_12_26_9': -0.7839653816741085}, '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': 26.489999771118164, '2018-01-04': 26.56999969482422, '2018-01-05': 26.540000915527344, '2018-01-08': 26.38999938964844, '2018-01-09': 26.420000076293945, '2018-01-10': 26.51000022888184, '2018-01-11': 26.56999969482422, '2018-01-12': 27.0, '2018-01-16': 26.350000381469727}, '1_month_later': {'2018-02-02': 29.299999237060547}, '3_months_later': {'2018-04-02': 39.02000045776367}, '6_months_later': {'2018-07-02': 51.41999816894531}, '12_months_later': {'2019-01-02': 63.2599983215332}}
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.
OKE
{'date': '2018-01-02', 'ticker': 'OKE', '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/pipeline-stock-boosting-its-dividend-growth-forecast-20-thanks-lower-tax-rate-2018-01-02', 'news_author': None, 'news_article': 'While many companies are still trying to figure out how the largest overhaul of the U.S. tax system in decades will impact their business, Antero Midstream GP (NYSE: AMGP) quickly calculated that the newly lowered U.S. corporate tax rate would provide a substantial boost to its cash flow. So the midstream company announced a 20% increase to its target for long-term dividend growth, on top of the jaw-dropping growth the company had already anticipated. Though that announcement makes Antero Midstream GP the first pipeline company to boost its dividend growth forecast as a result of the lower tax rate, that doesn\'t mean we should expect a wave of tax-fueled dividend increase announcements from the sector this year.\nDrilling down into Antero Midstream GP\'s new dividend growth plan\nAntero Midstream GP went public last year, giving investors an opportunity to collect a rapidly growing income stream backed by the incentive distribution rights (IDRs) paid by Antero Midstream Partners (NYSE: AM) , which is a master limited partnership (MLP). Those IDRs entitle Antero Midstream GP to an outsized share of Antero Midstream Partners\' growing stream of cash flow, from the pipelines and related infrastructure it\'s building to support the growth of natural gas driller Antero Resources (NYSE: AR) .\nIn fact, while Antero Midstream Partners expected to grow its payout by a compound annual rate of 28% to 30% through 2020, Antero Midstream GP anticipated that it could increase its payout by a stunning 110% to 125% this year. Furthermore, it expected to follow that up with 63% to 65% growth in 2019 and another 51% to 53% increase in 2020.\nHowever, the company now expects to pay out even more cash to investors in the coming years. That\'s because the changes in the tax law will reduce its corporate rate from 35% to 21%; after adjusting for a slightly higher net state and local tax rate, this will give the company 20% more cash to send back to investors each year. As a result, it\'s increasing its dividend growth forecast accordingly:\nData source: Antero Midstream GP.\nAs that chart shows, investors will see an even more massive boost to their income this year as the company resets its payout to reflect the lower tax rate. Meanwhile, future increases will be by the same percentage rates as before, though that growth will come off of 2018\'s higher base.\nA sign of things to come?\nAntero Midstream GP likely won\'t be the only midstream company to benefit from the reduction in the U.S. corporate tax rate. For example, fellow midstream general partner EnLink Midstream (NYSE: ENLC) noted in early 2017 that it expected to pay cash income taxes of about $5 million per year in 2017, 2018, and 2019. However, with the corporate tax rate coming down in 2018, the company will likely pay fewer cash taxes this year and next than initially anticipated. That could enable EnLink to send those savings back to investors. However, given that the company expected to generate between $215 million and $225 million in cash available for distribution last year, any increase from the reduction in corporate taxes would be slight.\nIn fact, most midstream companies won\'t see much, if any, benefit from the changes in the tax rate. That\'s because MLPs like Antero Midstream Partners don\'t pay corporate taxes; many other pipeline companies have recently undertaken transactions that will shelter them from having to pay cash taxes for the next few years. For example, when Targa Resources (NYSE: TRGP) acquired its MLP Targa Resources Partners in 2015, it stated that the deal would lower its cash taxes, noting that the effective cash tax rate would drop from a range of 0%-5% to 0%. Likewise, when ONEOK (NYSE: OKE) acquired its MLP last year, it stated that it wouldn\'t pay any cash income taxes until "at least 2021." Needless to say, since these companies aren\'t currently paying cash taxes, the reduction in the corporate tax rate won\'t benefit them in the near term.\nTax cuts aren\'t what will fuel dividend increases in the pipeline sector this year\nAntero Midstream GP is a bit of an outlier in the midstream sector, since it was one of the few companies paying the full U.S. corporate tax rate. Since most pipeline companies don\'t pay much, if any, in corporate taxes, investors shouldn\'t expect a gusher of tax-related dividend increases this year. That said, 2018 could still be a good year for dividend increases from the sector, since many companies have expansion projects slated to start up, which will provide them with the growing stream of cash flow needed to boost their payouts.\n10 stocks we like better than Antero Midstream Partners\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 Antero Midstream Partners 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 January 2, 2018\nMatthew DiLallo has no position in any of the stocks mentioned. The Motley Fool owns shares of and recommends ONEOK. 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': 'Likewise, when ONEOK (NYSE: OKE) acquired its MLP last year, it stated that it wouldn\'t pay any cash income taxes until "at least 2021." As that chart shows, investors will see an even more massive boost to their income this year as the company resets its payout to reflect the lower tax rate. That said, 2018 could still be a good year for dividend increases from the sector, since many companies have expansion projects slated to start up, which will provide them with the growing stream of cash flow needed to boost their payouts.', 'news_luhn_summary': 'Likewise, when ONEOK (NYSE: OKE) acquired its MLP last year, it stated that it wouldn\'t pay any cash income taxes until "at least 2021." Though that announcement makes Antero Midstream GP the first pipeline company to boost its dividend growth forecast as a result of the lower tax rate, that doesn\'t mean we should expect a wave of tax-fueled dividend increase announcements from the sector this year. Those IDRs entitle Antero Midstream GP to an outsized share of Antero Midstream Partners\' growing stream of cash flow, from the pipelines and related infrastructure it\'s building to support the growth of natural gas driller Antero Resources (NYSE: AR) .', 'news_article_title': 'This Pipeline Stock Is Boosting Its Dividend Growth Forecast 20% Thanks to a Lower Tax Rate', 'news_lexrank_summary': 'Likewise, when ONEOK (NYSE: OKE) acquired its MLP last year, it stated that it wouldn\'t pay any cash income taxes until "at least 2021." Though that announcement makes Antero Midstream GP the first pipeline company to boost its dividend growth forecast as a result of the lower tax rate, that doesn\'t mean we should expect a wave of tax-fueled dividend increase announcements from the sector this year. In fact, while Antero Midstream Partners expected to grow its payout by a compound annual rate of 28% to 30% through 2020, Antero Midstream GP anticipated that it could increase its payout by a stunning 110% to 125% this year.', 'news_textrank_summary': 'Likewise, when ONEOK (NYSE: OKE) acquired its MLP last year, it stated that it wouldn\'t pay any cash income taxes until "at least 2021." Though that announcement makes Antero Midstream GP the first pipeline company to boost its dividend growth forecast as a result of the lower tax rate, that doesn\'t mean we should expect a wave of tax-fueled dividend increase announcements from the sector this year. Drilling down into Antero Midstream GP\'s new dividend growth plan Antero Midstream GP went public last year, giving investors an opportunity to collect a rapidly growing income stream backed by the incentive distribution rights (IDRs) paid by Antero Midstream Partners (NYSE: AM) , which is a master limited partnership (MLP).'}, {'news_url': 'https://seekingalpha.com/article/4134889-k-s-s-dividend-portfolio-4th-quarter-2017-update?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'My K.I.S.S. Dividend Portfolio: 4th Quarter 2017 Update', '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': 53.560001373291016, 'high': 54.75, 'open': 53.7599983215332, 'close': 54.650001525878906, 'ema_50': 52.91059656699495, 'rsi_14': 61.02291641717544, 'target': 55.540000915527344, 'volume': 2547900.0, 'ema_200': 52.79471158583187, 'adj_close': 47.1092414855957, 'rsi_lag_1': 54.52676641376681, 'rsi_lag_2': 59.963105864070265, 'rsi_lag_3': 61.99648192896653, 'rsi_lag_4': 57.46751316565191, 'rsi_lag_5': 57.46751316565191, 'macd_lag_1': 0.2320614929575271, 'macd_lag_2': 0.19002954629303304, 'macd_lag_3': 0.1295446113869616, 'macd_lag_4': 0.08304173018340322, 'macd_lag_5': 0.01331561201742204, 'macd_12_26_9': 0.3580744864709331, 'macds_12_26_9': 0.12875986172410697}, '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': 55.540000915527344, '2018-01-04': 56.20000076293945, '2018-01-05': 56.060001373291016, '2018-01-08': 56.63999938964844, '2018-01-09': 56.4900016784668, '2018-01-10': 56.7400016784668, '2018-01-11': 58.36000061035156, '2018-01-12': 58.66999816894531, '2018-01-16': 58.79999923706055}, '1_month_later': {'2018-02-02': 57.75}, '3_months_later': {'2018-04-02': 56.13999938964844}, '6_months_later': {'2018-07-02': 68.94999694824219}, '12_months_later': {'2019-01-02': 54.40999984741211}}
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.
OIS
{'date': '2018-01-02', 'ticker': 'OIS', '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': 27.950000762939453, 'high': 29.39999961853028, 'open': 28.39999961853028, 'close': 29.299999237060547, 'ema_50': 25.12778323726528, 'rsi_14': 84.09091204651162, 'target': 30.75, 'volume': 770700.0, 'ema_200': 26.567105284480498, 'adj_close': 29.299999237060547, 'rsi_lag_1': 82.27848070704232, 'rsi_lag_2': 82.60869874266623, 'rsi_lag_3': 87.82050482620272, 'rsi_lag_4': 79.65116369330998, 'rsi_lag_5': 67.20430658847499, 'macd_lag_1': 1.37492142010246, 'macd_lag_2': 1.3733316584068298, 'macd_lag_3': 1.3716903310168362, 'macd_lag_4': 1.3038254757641177, 'macd_lag_5': 1.1676949370724223, 'macd_12_26_9': 1.4402704194924496, 'macds_12_26_9': 1.1485278913312973}, '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': 30.75, '2018-01-04': 31.200000762939453, '2018-01-05': 31.200000762939453, '2018-01-08': 31.950000762939453, '2018-01-09': 31.89999961853028, '2018-01-10': 32.29999923706055, '2018-01-11': 33.599998474121094, '2018-01-12': 34.04999923706055, '2018-01-16': 33.349998474121094}, '1_month_later': {'2018-02-02': 31.0}, '3_months_later': {'2018-04-02': 25.850000381469727}, '6_months_later': {'2018-07-02': 31.799999237060547}, '12_months_later': {'2019-01-02': 15.220000267028809}}
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.
OILX
{'date': '2018-01-02', 'ticker': 'OILX', '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': 34.619998931884766, 'high': 34.619998931884766, 'open': 34.619998931884766, 'close': 34.619998931884766, 'ema_50': 32.09912724703051, 'rsi_14': 83.12758041475016, 'target': 34.619998931884766, 'volume': 200.0, 'ema_200': 30.339500583749654, 'adj_close': 34.619998931884766, 'rsi_lag_1': 0.0, 'rsi_lag_2': 0.0, 'rsi_lag_3': 0.0, 'rsi_lag_4': 0.0, 'rsi_lag_5': 0.0, 'macd_lag_1': 0.0819232142483628, 'macd_lag_2': 0.09862662721536708, 'macd_lag_3': 0.11851168700649595, 'macd_lag_4': 0.14216844787434724, 'macd_lag_5': 0.17029517250387016, 'macd_12_26_9': 0.22904253446049694, 'macds_12_26_9': 0.21603531349824262}, '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': 34.619998931884766, '2018-01-04': 34.619998931884766, '2018-01-05': 34.619998931884766, '2018-01-08': 34.619998931884766, '2018-01-09': 34.619998931884766, '2018-01-10': 34.619998931884766, '2018-01-11': 36.84000015258789, '2018-01-12': 36.7599983215332, '2018-01-16': 36.7599983215332}, '1_month_later': {'2018-02-02': 36.79800033569336}, '3_months_later': {'2018-04-02': 35.47999954223633}, '6_months_later': {'2018-07-02': 39.33000183105469}, '12_months_later': {'2019-01-02': 28.16699981689453}}
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.
OLP
{'date': '2018-01-02', 'ticker': 'OLP', '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': 25.75, 'high': 26.31999969482422, 'open': 26.020000457763672, 'close': 26.170000076293945, 'ema_50': 25.93497257159343, 'rsi_14': 47.34041689747602, 'target': 25.959999084472656, 'volume': 74600.0, 'ema_200': 24.743899138524533, 'adj_close': 21.72751235961914, 'rsi_lag_1': 46.195645131780616, 'rsi_lag_2': 48.43306701096753, 'rsi_lag_3': 44.21365707332259, 'rsi_lag_4': 43.37351404888795, 'rsi_lag_5': 37.795294905676386, 'macd_lag_1': 0.05178663688050378, 'macd_lag_2': 0.09910343931433019, 'macd_lag_3': 0.11223712125873675, 'macd_lag_4': 0.14874985452581768, 'macd_lag_5': 0.2064260234716606, 'macd_12_26_9': 0.034067926861059306, 'macds_12_26_9': 0.15547753297596587}, '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': 25.959999084472656, '2018-01-04': 25.709999084472656, '2018-01-05': 25.850000381469727, '2018-01-08': 26.170000076293945, '2018-01-09': 25.450000762939453, '2018-01-10': 25.049999237060547, '2018-01-11': 25.489999771118164, '2018-01-12': 25.39999961853028, '2018-01-16': 25.440000534057617}, '1_month_later': {'2018-02-02': 23.8700008392334}, '3_months_later': {'2018-04-02': 23.01000022888184}, '6_months_later': {'2018-07-02': 26.40999984741211}, '12_months_later': {'2019-01-02': 23.39999961853028}}
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.
NTLA
{'date': '2018-01-02', 'ticker': 'NTLA', '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': 19.299999237060547, 'high': 21.81999969482422, 'open': 19.350000381469727, 'close': 21.51000022888184, 'ema_50': 20.834841238124373, 'rsi_14': 61.814559705808094, 'target': 22.209999084472656, 'volume': 1086800.0, 'ema_200': 19.61551820687722, 'adj_close': 21.51000022888184, 'rsi_lag_1': 39.81670029453195, 'rsi_lag_2': 45.70446712871261, 'rsi_lag_3': 42.405831898379795, 'rsi_lag_4': 39.88571166992189, 'rsi_lag_5': 33.83720602713268, 'macd_lag_1': -0.6252371962880225, 'macd_lag_2': -0.6766073143062812, 'macd_lag_3': -0.8514599845005151, 'macd_lag_4': -0.9583963040952561, 'macd_lag_5': -1.0829818399970499, 'macd_12_26_9': -0.3951866069007224, 'macds_12_26_9': -0.7846330645649778}, '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': 22.209999084472656, '2018-01-04': 22.020000457763672, '2018-01-05': 22.709999084472656, '2018-01-08': 20.030000686645508, '2018-01-09': 19.8799991607666, '2018-01-10': 20.15999984741211, '2018-01-11': 20.920000076293945, '2018-01-12': 21.450000762939453, '2018-01-16': 20.530000686645508}, '1_month_later': {'2018-02-02': 23.52499961853028}, '3_months_later': {'2018-04-02': 20.600000381469727}, '6_months_later': {'2018-07-02': 28.729999542236328}, '12_months_later': {'2019-01-02': 13.699999809265137}}
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.
NAC
{'date': '2018-01-02', 'ticker': 'NAC', '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': 14.300000190734863, 'high': 14.390000343322754, 'open': 14.300000190734863, 'close': 14.350000381469728, 'ema_50': 14.544371299995825, 'rsi_14': 32.39434349512703, 'target': 14.40999984741211, 'volume': 327300.0, 'ema_200': 14.829975281290125, 'adj_close': 12.743634223937988, 'rsi_lag_1': 27.142841572638872, 'rsi_lag_2': 28.358183461557815, 'rsi_lag_3': 30.43471049707263, 'rsi_lag_4': 30.43471049707263, 'rsi_lag_5': 34.24651091697923, 'macd_lag_1': -0.08299122787336444, 'macd_lag_2': -0.08587325459847506, 'macd_lag_3': -0.09339353459780142, 'macd_lag_4': -0.09857917684572648, 'macd_lag_5': -0.09460041120637364, 'macd_12_26_9': -0.07659658060047825, 'macds_12_26_9': -0.0795530614813183}, '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': 14.40999984741211, '2018-01-04': 14.359999656677246, '2018-01-05': 14.380000114440918, '2018-01-08': 14.350000381469728, '2018-01-09': 14.359999656677246, '2018-01-10': 14.31999969482422, '2018-01-11': 14.239999771118164, '2018-01-12': 14.1899995803833, '2018-01-16': 14.149999618530272}, '1_month_later': {'2018-02-02': 13.630000114440918}, '3_months_later': {'2018-04-02': 13.449999809265137}, '6_months_later': {'2018-07-02': 13.4399995803833}, '12_months_later': {'2019-01-02': 12.949999809265137}}
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.
NTIC
{'date': '2018-01-02', 'ticker': 'NTIC', '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': 11.84000015258789, 'high': 12.699999809265137, 'open': 12.300000190734863, 'close': 11.84000015258789, 'ema_50': 10.012788577208752, 'rsi_14': 66.0968650647593, 'target': 12.28499984741211, 'volume': 13800.0, 'ema_200': 8.812824364405175, 'adj_close': 11.84000015258789, 'rsi_lag_1': 73.4952586160017, 'rsi_lag_2': 71.21560701607032, 'rsi_lag_3': 87.0967716047385, 'rsi_lag_4': 77.99043040368261, 'rsi_lag_5': 68.05556475379984, 'macd_lag_1': 0.6663444168918442, 'macd_lag_2': 0.6019469808930147, 'macd_lag_3': 0.5491786610415179, 'macd_lag_4': 0.35165724441800883, 'macd_lag_5': 0.2751603102591851, 'macd_12_26_9': 0.6665265294404836, 'macds_12_26_9': 0.5016736093102836}, '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': 12.28499984741211, '2018-01-04': 12.5, '2018-01-05': 13.229999542236328, '2018-01-08': 12.824999809265137, '2018-01-09': 12.300000190734863, '2018-01-10': 13.074999809265137, '2018-01-11': 12.579999923706056, '2018-01-12': 11.850000381469728, '2018-01-16': 11.875}, '1_month_later': {'2018-02-02': 11.625}, '3_months_later': {'2018-04-02': 11.300000190734863}, '6_months_later': {'2018-07-02': 17.799999237060547}, '12_months_later': {'2019-01-02': 14.300000190734863}}
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.
NEWR
{'date': '2018-01-02', 'ticker': 'NEWR', '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': 57.709999084472656, 'high': 59.02999877929688, 'open': 57.79999923706055, 'close': 58.79999923706055, 'ema_50': 55.771824931541204, 'rsi_14': 44.854199062422, 'target': 59.220001220703125, 'volume': 450100.0, 'ema_200': 48.25826163846376, 'adj_close': 58.79999923706055, 'rsi_lag_1': 52.014928559838076, 'rsi_lag_2': 50.76569962445974, 'rsi_lag_3': 54.075859807602605, 'rsi_lag_4': 56.67953451858965, 'rsi_lag_5': 55.581946667335174, 'macd_lag_1': 0.5746985723641842, 'macd_lag_2': 0.6288630119864251, 'macd_lag_3': 0.765213071111738, 'macd_lag_4': 0.8527697194135371, 'macd_lag_5': 0.9439742772562383, 'macd_12_26_9': 0.6078779189018988, 'macds_12_26_9': 0.8301120088920787}, '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': 59.220001220703125, '2018-01-04': 58.86000061035156, '2018-01-05': 59.310001373291016, '2018-01-08': 58.959999084472656, '2018-01-09': 58.18999862670898, '2018-01-10': 58.20000076293945, '2018-01-11': 59.34000015258789, '2018-01-12': 60.38999938964844, '2018-01-16': 58.20000076293945}, '1_month_later': {'2018-02-02': 59.310001373291016}, '3_months_later': {'2018-04-02': 74.37999725341797}, '6_months_later': {'2018-07-02': 102.61000061035156}, '12_months_later': {'2019-01-02': 79.47000122070312}}
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.
NEWA
{'date': '2018-01-02', 'ticker': 'NEWA', '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': 8.899999618530273, 'high': 9.5, 'open': 9.329999923706056, 'close': 9.100000381469728, 'ema_50': 10.53146456661828, 'rsi_14': 35.050499961515854, 'target': 9.220000267028809, 'volume': 135600.0, 'ema_200': 14.22561024919923, 'adj_close': 9.100000381469728, 'rsi_lag_1': 35.81010871497213, 'rsi_lag_2': 41.09441930531972, 'rsi_lag_3': 42.21052716115191, 'rsi_lag_4': 45.69732898497997, 'rsi_lag_5': 41.08374060243098, 'macd_lag_1': -0.4500691149358236, 'macd_lag_2': -0.4481792885073528, 'macd_lag_3': -0.5135754374244215, 'macd_lag_4': -0.5610654519589691, 'macd_lag_5': -0.5310462575754151, 'macd_12_26_9': -0.46955465550554365, 'macds_12_26_9': -0.415625905199529}, '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': 9.220000267028809, '2018-01-04': 9.510000228881836, '2018-01-05': 11.289999961853027, '2018-01-08': 10.649999618530272, '2018-01-09': 11.65999984741211, '2018-01-10': 12.170000076293944, '2018-01-11': 13.5, '2018-01-12': 13.0, '2018-01-16': 15.800000190734863}, '1_month_later': {'2018-02-02': 11.130000114440918}, '3_months_later': {'2018-04-02': 21.479999542236328}, '6_months_later': {'2018-07-02': 20.68000030517578}, '12_months_later': {'2019-01-02': 5.400000095367432}}
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.
NEV
{'date': '2018-01-02', 'ticker': 'NEV', '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': 14.210000038146973, 'high': 14.329999923706056, 'open': 14.229999542236328, 'close': 14.329999923706056, 'ema_50': 14.368611926344629, 'rsi_14': 45.882372740634594, 'target': 14.369999885559082, 'volume': 72600.0, 'ema_200': 14.527347903590387, 'adj_close': 14.329999923706056, 'rsi_lag_1': 42.50000894069446, 'rsi_lag_2': 36.78164825455826, 'rsi_lag_3': 35.95507664744308, 'rsi_lag_4': 42.55318501353906, 'rsi_lag_5': 43.157901077047555, 'macd_lag_1': -0.056112861683020654, 'macd_lag_2': -0.05691811566315863, 'macd_lag_3': -0.0550816995536092, 'macd_lag_4': -0.05499109471916519, 'macd_lag_5': -0.0571300978007141, 'macd_12_26_9': -0.044472122379271894, 'macds_12_26_9': -0.04670834322447857}, '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': 14.369999885559082, '2018-01-04': 14.399999618530272, '2018-01-05': 14.329999923706056, '2018-01-08': 14.270000457763672, '2018-01-09': 14.229999542236328, '2018-01-10': 14.210000038146973, '2018-01-11': 14.18000030517578, '2018-01-12': 14.149999618530272, '2018-01-16': 14.140000343322754}, '1_month_later': {'2018-02-02': 13.529999732971191}, '3_months_later': {'2018-04-02': 13.399999618530272}, '6_months_later': {'2018-07-02': 13.649999618530272}, '12_months_later': {'2019-01-02': 13.039999961853027}}
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.
NEU
{'date': '2018-01-02', 'ticker': 'NEU', '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': 395.2200012207031, 'high': 405.6499938964844, 'open': 399.739990234375, 'close': 403.6300048828125, 'ema_50': 400.09190529073607, 'rsi_14': 64.72647357557314, 'target': 400.7799987792969, 'volume': 63700.0, 'ema_200': 421.4055630641042, 'adj_close': 386.299072265625, 'rsi_lag_1': 61.12853956430587, 'rsi_lag_2': 50.13232611320949, 'rsi_lag_3': 52.300968474035464, 'rsi_lag_4': 49.14596857312147, 'rsi_lag_5': 43.19320491530276, 'macd_lag_1': -1.0208854060135764, 'macd_lag_2': -1.4956571575721114, 'macd_lag_3': -1.6206825493145516, 'macd_lag_4': -1.6803232122393865, 'macd_lag_5': -1.9488785451716808, 'macd_12_26_9': -0.13950221551476716, 'macds_12_26_9': -1.7156334360958423}, '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': 400.7799987792969, '2018-01-04': 400.2999877929688, '2018-01-05': 400.3200073242188, '2018-01-08': 401.6700134277344, '2018-01-09': 397.8599853515625, '2018-01-10': 396.1300048828125, '2018-01-11': 399.2000122070313, '2018-01-12': 397.6300048828125, '2018-01-16': 400.5299987792969}, '1_month_later': {'2018-02-02': 392.5299987792969}, '3_months_later': {'2018-04-02': 396.6000061035156}, '6_months_later': {'2018-07-02': 397.8299865722656}, '12_months_later': {'2019-01-02': 405.2000122070313}}
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.
NETE
{'date': '2018-01-02', 'ticker': 'NETE', '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/18/01/10974436/mid-afternoon-market-update-dow-gains-60-points-net-element-shares-spike-higher', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Mid-Afternoon Market Update: Dow Gains 60 Points; Net Element Shares Spike Higher', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10973966/28-stocks-moving-in-tuesdays-mid-day-session', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "28 Stocks Moving In Tuesday's Mid-Day Session", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10973896/mid-day-market-update-nasdaq-up-over-1-merus-shares-plummet', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Mid-Day Market Update: NASDAQ Up Over 1%; Merus Shares Plummet', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10973091/mid-morning-market-update-markets-open-higehr-micronet-enertec-to-sell-enertec-s', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Mid-Morning Market Update: Markets Open Higehr; Micronet Enertec To Sell Enertec Systems', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10972415/net-element-joins-the-blockchain-bonanza', 'news_author': None, 'news_article': None, 'news_publisher': 'Jayson Derrick', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Net Element Joins The Blockchain Bonanza', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10972194/net-element-announces-a-7-55m-private-placement-of-stock-and-warrants-to-support', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Net Element Announces a $7.55M Private Placement of Stock and Warrants to Support Block-Chain Developments', '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': 13.100000381469728, 'high': 15.5, 'open': 14.100000381469728, 'close': 13.829999923706056, 'ema_50': 7.276766969396048, 'rsi_14': 65.62383648842966, 'target': 12.609999656677246, 'volume': 3850900.0, 'ema_200': 7.152624585768055, 'adj_close': 13.829999923706056, 'rsi_lag_1': 63.88888925163669, 'rsi_lag_2': 65.47901961257168, 'rsi_lag_3': 66.20000011825562, 'rsi_lag_4': 70.45551388299552, 'rsi_lag_5': 72.52410289678166, 'macd_lag_1': 2.2674077355260795, 'macd_lag_2': 2.412821607577511, 'macd_lag_3': 2.5113997030358792, 'macd_lag_4': 2.573200890596758, 'macd_lag_5': 2.427307832411376, 'macd_12_26_9': 2.343024683968176, 'macds_12_26_9': 1.931899750870207}, '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': 12.609999656677246, '2018-01-04': 12.050000190734863, '2018-01-05': 11.720000267028809, '2018-01-08': 10.84000015258789, '2018-01-09': 11.260000228881836, '2018-01-10': 11.210000038146973, '2018-01-11': 11.40999984741211, '2018-01-12': 11.390000343322754, '2018-01-16': 9.670000076293944}, '1_month_later': {'2018-02-02': 6.329999923706055}, '3_months_later': {'2018-04-02': 6.320000171661377}, '6_months_later': {'2018-07-02': 7.550000190734863}, '12_months_later': {'2019-01-02': 6.130000114440918}}
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.
NESR
{'date': '2018-01-02', 'ticker': 'NESR', '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': 9.920000076293944, 'high': 9.960000038146973, 'open': 9.949999809265137, 'close': 9.960000038146973, 'ema_50': 9.86424050199445, 'rsi_14': 55.000143051965914, 'target': 9.960000038146973, 'volume': 24900.0, 'ema_200': 9.688899964137958, 'adj_close': 9.960000038146973, 'rsi_lag_1': 59.09096820339409, 'rsi_lag_2': 59.090968203393764, 'rsi_lag_3': 46.42863225010955, 'rsi_lag_4': 42.85709419991221, 'rsi_lag_5': 51.85173411323422, 'macd_lag_1': 0.017211709934983332, 'macd_lag_2': 0.016014880796047848, 'macd_lag_3': 0.01730886614965499, 'macd_lag_4': 0.018708696675176384, 'macd_lag_5': 0.021241468080443582, 'macd_12_26_9': 0.018750990795833644, 'macds_12_26_9': 0.02082699376285287}, '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': 9.960000038146973, '2018-01-04': 9.949999809265137, '2018-01-05': 9.899999618530272, '2018-01-08': 9.960000038146973, '2018-01-09': 9.94499969482422, '2018-01-10': 9.940999984741213, '2018-01-11': 9.960000038146973, '2018-01-12': 9.949999809265137, '2018-01-16': 9.960000038146973}, '1_month_later': {'2018-02-02': 9.949999809265137}, '3_months_later': {'2018-04-02': 9.9399995803833}, '6_months_later': {'2018-07-02': 10.470000267028809}, '12_months_later': {'2019-01-02': 8.699999809265137}}
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.
NES
{'date': '2018-01-02', 'ticker': 'NES', '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': 16.72800064086914, 'high': 20.5, 'open': 17.969999313354492, 'close': 20.5, 'ema_50': 15.005557232153595, 'rsi_14': 70.61349751041274, 'target': 20.959999084472656, 'volume': 338600.0, 'ema_200': 14.512306371757742, 'adj_close': 20.5, 'rsi_lag_1': 62.73037662192166, 'rsi_lag_2': 69.99238222740533, 'rsi_lag_3': 85.00377013963171, 'rsi_lag_4': 85.64920124894395, 'rsi_lag_5': 83.01886646949974, 'macd_lag_1': 2.1562514626696547, 'macd_lag_2': 2.341676943901435, 'macd_lag_3': 2.3589774700165975, 'macd_lag_4': 2.1482013006495126, 'macd_lag_5': 1.7919277759653642, 'macd_12_26_9': 2.1714736229706837, 'macds_12_26_9': 1.877008625698062}, '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': 20.959999084472656, '2018-01-04': 20.11000061035156, '2018-01-05': 20.200000762939453, '2018-01-08': 19.600000381469727, '2018-01-09': 19.950000762939453, '2018-01-10': 20.100000381469727, '2018-01-11': 20.100000381469727, '2018-01-12': 20.100000381469727, '2018-01-16': 20.100000381469727}, '1_month_later': {'2018-02-02': 19.14999961853028}, '3_months_later': {'2018-04-02': 22.0}, '6_months_later': {'2018-07-02': 11.56999969482422}, '12_months_later': {'2019-01-02': 9.45300006866455}}
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.
NERV
{'date': '2018-01-02', 'ticker': 'NERV', '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': 6.050000190734863, 'high': 6.300000190734863, 'open': 6.099999904632568, 'close': 6.199999809265137, 'ema_50': 6.028783329635224, 'rsi_14': 52.238801296314435, 'target': 6.150000095367432, 'volume': 133000.0, 'ema_200': 7.249407549125594, 'adj_close': 6.199999809265137, 'rsi_lag_1': 54.92958389703109, 'rsi_lag_2': 61.194031762769065, 'rsi_lag_3': 63.38028679809733, 'rsi_lag_4': 64.28571428571428, 'rsi_lag_5': 56.716422371833644, 'macd_lag_1': 0.11943306333603676, 'macd_lag_2': 0.12765363572356936, 'macd_lag_3': 0.10574386981809258, 'macd_lag_4': 0.09660456562656261, 'macd_lag_5': 0.05807978732207797, 'macd_12_26_9': 0.12359716492843553, 'macds_12_26_9': 0.07610927699851927}, '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': 6.150000095367432, '2018-01-04': 6.050000190734863, '2018-01-05': 6.0, '2018-01-08': 5.550000190734863, '2018-01-09': 5.349999904632568, '2018-01-10': 5.5, '2018-01-11': 6.050000190734863, '2018-01-12': 6.25, '2018-01-16': 6.5}, '1_month_later': {'2018-02-02': 6.199999809265137}, '3_months_later': {'2018-04-02': 6.199999809265137}, '6_months_later': {'2018-07-02': 8.300000190734863}, '12_months_later': {'2019-01-02': 6.920000076293945}}
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.
NEPT
{'date': '2018-01-02', 'ticker': 'NEPT', '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': 2.359999895095825, 'high': 2.5799999237060547, 'open': 2.400000095367432, 'close': 2.390000104904175, 'ema_50': 1.5770735516890309, 'rsi_14': 68.33333498901784, 'target': 2.720000028610229, 'volume': 1411000.0, 'ema_200': 1.1594623604456749, 'adj_close': 2.390000104904175, 'rsi_lag_1': 73.61111030626441, 'rsi_lag_2': 73.42657278531848, 'rsi_lag_3': 71.6417921070108, 'rsi_lag_4': 70.58823116922915, 'rsi_lag_5': 68.99224548312375, 'macd_lag_1': 0.22422201974066125, 'macd_lag_2': 0.208595681529669, 'macd_lag_3': 0.21208939896528456, 'macd_lag_4': 0.22568188630962727, 'macd_lag_5': 0.2305845696401183, 'macd_12_26_9': 0.23630281975118517, 'macds_12_26_9': 0.22484957593484514}, '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': 2.720000028610229, '2018-01-04': 3.069999933242798, '2018-01-05': 3.0, '2018-01-08': 2.799999952316284, '2018-01-09': 2.7799999713897705, '2018-01-10': 3.0, '2018-01-11': 3.2699999809265137, '2018-01-12': 3.069999933242798, '2018-01-16': 3.069999933242798}, '1_month_later': {'2018-02-02': 3.1700000762939453}, '3_months_later': {'2018-04-02': 2.8299999237060547}, '6_months_later': {'2018-07-02': 3.3299999237060547}, '12_months_later': {'2019-01-02': 2.759999990463257}}
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.
NEWT
{'date': '2018-01-02', 'ticker': 'NEWT', '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/4134775-10-percent-high-yield-portfolio-2017-final-results-bdc-mreit-50-50-allocation?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '10% High-Yield Portfolio 2017 Final Results (BDC And mREIT), 50/50 Allocation', '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': 17.950000762939453, 'high': 18.56999969482422, 'open': 18.549999237060547, 'close': 18.309999465942383, 'ema_50': 18.014509502467273, 'rsi_14': 34.10139869052401, 'target': 18.13999938964844, 'volume': 190300.0, 'ema_200': 17.11709103117862, 'adj_close': 14.677681922912598, 'rsi_lag_1': 49.392699419996866, 'rsi_lag_2': 53.38345972488327, 'rsi_lag_3': 61.56348978544526, 'rsi_lag_4': 70.62704504738153, 'rsi_lag_5': 67.68707571259523, 'macd_lag_1': 0.2414303747218014, 'macd_lag_2': 0.2678372987022186, 'macd_lag_3': 0.2966281158426902, 'macd_lag_4': 0.3229520405937727, 'macd_lag_5': 0.32232609074100793, 'macd_12_26_9': 0.2036308472618984, 'macds_12_26_9': 0.28536087991726394}, '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': 18.13999938964844, '2018-01-04': 18.1299991607666, '2018-01-05': 18.100000381469727, '2018-01-08': 18.059999465942383, '2018-01-09': 18.07999992370605, '2018-01-10': 17.989999771118164, '2018-01-11': 17.959999084472656, '2018-01-12': 17.770000457763672, '2018-01-16': 17.780000686645508}, '1_month_later': {'2018-02-02': 16.969999313354492}, '3_months_later': {'2018-04-02': 17.6200008392334}, '6_months_later': {'2018-07-02': 20.420000076293945}, '12_months_later': {'2019-01-02': 17.84000015258789}}
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.
NEPH
{'date': '2018-01-02', 'ticker': 'NEPH', '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': 4.050000190734863, 'high': 4.139999866485596, 'open': 4.139999866485596, 'close': 4.050000190734863, 'ema_50': 4.015660901031848, 'rsi_14': 45.68965477867185, 'target': 4.679999828338623, 'volume': 300.0, 'ema_200': 3.381285850086911, 'adj_close': 4.050000190734863, 'rsi_lag_1': 47.206706266946256, 'rsi_lag_2': 47.206706266946256, 'rsi_lag_3': 55.29100733042531, 'rsi_lag_4': 45.21531567455725, 'rsi_lag_5': 48.71134488693894, 'macd_lag_1': -0.004432130716373273, 'macd_lag_2': 0.00497664987214641, 'macd_lag_3': 0.016913287643352426, 'macd_lag_4': 0.013575511329310785, 'macd_lag_5': 0.027445088281804253, 'macd_12_26_9': -0.01175317384736374, 'macds_12_26_9': 0.01101060204673347}, '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': 4.679999828338623, '2018-01-04': 4.230000019073486, '2018-01-05': 4.050000190734863, '2018-01-08': 4.5, '2018-01-09': 4.5, '2018-01-10': 4.050000190734863, '2018-01-11': 4.409999847412109, '2018-01-12': 4.139999866485596, '2018-01-16': 4.050000190734863}, '1_month_later': {'2018-02-02': 4.050000190734863}, '3_months_later': {'2018-04-02': 3.7799999713897705}, '6_months_later': {'2018-07-02': 5.670000076293945}, '12_months_later': {'2019-01-02': 5.309999942779541}}
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.
NEON
{'date': '2018-01-02', 'ticker': 'NEON', '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': 7.400000095367432, 'high': 7.699999809265137, 'open': 7.5, 'close': 7.400000095367432, 'ema_50': 9.324170897486873, 'rsi_14': 7.999993896483218, 'target': 8.100000381469727, 'volume': 16300.0, 'ema_200': 11.723185025868846, 'adj_close': 7.400000095367432, 'rsi_lag_1': 7.999993896483218, 'rsi_lag_2': 9.523803036227378, 'rsi_lag_3': 22.727274697674375, 'rsi_lag_4': 32.00000762939453, 'rsi_lag_5': 51.85184138628935, 'macd_lag_1': -0.47558970161400893, 'macd_lag_2': -0.4283457505947883, 'macd_lag_3': -0.4025420882681061, 'macd_lag_4': -0.3841156912851478, 'macd_lag_5': -0.33464615395575414, 'macd_12_26_9': -0.5071843674938652, 'macds_12_26_9': -0.4138839452904487}, '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': 8.100000381469727, '2018-01-04': 8.0, '2018-01-05': 9.199999809265137, '2018-01-08': 8.300000190734863, '2018-01-09': 8.0, '2018-01-10': 7.699999809265137, '2018-01-11': 7.699999809265137, '2018-01-12': 7.400000095367432, '2018-01-16': 7.099999904632568}, '1_month_later': {'2018-02-02': 5.699999809265137}, '3_months_later': {'2018-04-02': 4.5}, '6_months_later': {'2018-07-02': 3.700000047683716}, '12_months_later': {'2019-01-02': 1.8600000143051147}}
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.
NEOG
{'date': '2018-01-02', 'ticker': 'NEOG', '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/18/01/10972186/watch-shares-of-neogen-the-stock-will-trade-post-4-for-3-split-today', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Watch Shares of Neogen, The Stock Will Trade Post 4-for-3 Split Today', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10971999/22-stocks-moving-in-tuesdays-pre-market-session', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "22 Stocks Moving In Tuesday's Pre-Market Session", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320668-notable-earnings-wednesday-s-open?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Notable earnings before Wednesday's open", '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': 59.22999954223633, 'high': 63.720001220703125, 'open': 62.060001373291016, 'close': 60.15999984741211, 'ema_50': 60.43285364628502, 'rsi_14': 53.923836609344214, 'target': 59.08000183105469, 'volume': 288900.0, 'ema_200': 54.613309213991094, 'adj_close': 60.15999984741211, 'rsi_lag_1': 54.32286714277049, 'rsi_lag_2': 50.39034276974469, 'rsi_lag_3': 49.20059186948125, 'rsi_lag_4': 54.88721258325241, 'rsi_lag_5': 46.75236608634233, 'macd_lag_1': 0.2083321906531026, 'macd_lag_2': 0.2058427338983293, 'macd_lag_3': 0.1515500897482056, 'macd_lag_4': 0.15184805095692866, 'macd_lag_5': 0.07440098434740605, 'macd_12_26_9': 0.08721996280863209, 'macds_12_26_9': 0.1277033049101424}, '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': 59.08000183105469, '2018-01-04': 59.650001525878906, '2018-01-05': 59.63999938964844, '2018-01-08': 59.720001220703125, '2018-01-09': 59.41999816894531, '2018-01-10': 58.27000045776367, '2018-01-11': 59.20000076293945, '2018-01-12': 59.119998931884766, '2018-01-16': 58.91999816894531}, '1_month_later': {'2018-02-02': 59.09999847412109}, '3_months_later': {'2018-04-02': 65.52999877929688}, '6_months_later': {'2018-07-02': 81.73999786376953}, '12_months_later': {'2019-01-02': 56.90999984741211}}
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.
NEN
{'date': '2018-01-02', 'ticker': 'NEN', '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': 72.0, 'high': 72.55000305175781, 'open': 72.55000305175781, 'close': 72.01000213623047, 'ema_50': 72.38807672703504, 'rsi_14': 33.33333333333333, 'target': 72.33000183105469, 'volume': 1400.0, 'ema_200': 69.77051152558617, 'adj_close': 68.36756896972656, 'rsi_lag_1': 43.577934292838705, 'rsi_lag_2': 46.75322101744848, 'rsi_lag_3': 54.61253469817514, 'rsi_lag_4': 40.21739581130558, 'rsi_lag_5': 36.324209736008214, 'macd_lag_1': 0.03256018004495331, 'macd_lag_2': -0.026112744416650457, 'macd_lag_3': -0.08534802726664736, 'macd_lag_4': -0.10880327152585778, 'macd_lag_5': -0.13715809933991352, 'macd_12_26_9': -0.028736355437033012, 'macds_12_26_9': -0.009862625937177655}, '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': 72.33000183105469, '2018-01-04': 72.80000305175781, '2018-01-05': 72.80000305175781, '2018-01-08': 72.80000305175781, '2018-01-09': 72.80000305175781, '2018-01-10': 73.12999725341797, '2018-01-11': 72.9000015258789, '2018-01-12': 72.81999969482422, '2018-01-16': 72.54000091552734}, '1_month_later': {'2018-02-02': 72.5}, '3_months_later': {'2018-04-02': 70.1500015258789}, '6_months_later': {'2018-07-02': 67.0}, '12_months_later': {'2019-01-02': 55.380001068115234}}
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.
NEM
{'date': '2018-01-02', 'ticker': 'NEM', '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/news/3320715-gold-hits-three-month-high-dollar-drop-continues?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Gold hits three-month high as dollar drop continues', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134809-victory-formation-long-short-portfolio-update-year-end-2017?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Victory Formation Long/Short Portfolio Update - Year End 2017', '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': 37.81999969482422, 'high': 38.29999923706055, 'open': 37.869998931884766, 'close': 38.15999984741211, 'ema_50': 36.67600923165897, 'rsi_14': 88.86408066411278, 'target': 37.84000015258789, 'volume': 5325800.0, 'ema_200': 35.934276192950016, 'adj_close': 35.82564926147461, 'rsi_lag_1': 73.14402605980395, 'rsi_lag_2': 65.61883813042647, 'rsi_lag_3': 67.38698687115617, 'rsi_lag_4': 62.61508188244977, 'rsi_lag_5': 50.73798881069466, 'macd_lag_1': 0.2846304514570406, 'macd_lag_2': 0.24552844091377324, 'macd_lag_3': 0.19306713309597257, 'macd_lag_4': 0.11413552637273483, 'macd_lag_5': 0.014784361845336491, 'macd_12_26_9': 0.3630763602995799, 'macds_12_26_9': 0.13468466172380525}, '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}]}
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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.
NEE
{'date': '2018-01-02', 'ticker': 'NEE', '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/dominion-d-adds-81mw-green-power-strives-to-add-more-2018-01-02', 'news_author': None, 'news_article': 'Dominion EnergyD announced that it has added 81 megawatt (MW) of solar power to the South Carolina\'s energy grid. Its two projects - the 71.4 MW Solvay Solar Energy-Jasper County, S.C., facility that came online on Dec 21, 2017 and the 10 MW Ridgeland Solar project that came online on May 28, 2017 - have started production.\nThe company has entered into a long-term power purchase agreement with SCE&G Solvay to sell the entire production from these solar facilities.\nRenewable Generation\nDominion has been focusing on producing more electricity from clean sources. Also, it has been investing regularly to expand its renewable generation assets. At present, Dominion Energy\'s renewable generation fleet either under development or in operation, exceeds more than 1,900 MW of clean energy in nine states throughout the United States.\nDominion renewable generation portfolio is pre-dominantly solar power based. At present the company has in excess of 1,600 MW of solar generation, in service or under development in nine U.S. states.\nMajority of the solar facility of Dominion is located in the east coast states of Virginia and North Carolina. Dominion aims to achieve renewable energy goal of 15% and renewable power goal of 12.5% in Virginia and Carolina, respectively.\nThe Bigger Picture\nEven with the repeal of the Clean Power Plan, the renewable energy projects are making its presence felt in the total power generation portfolio. Per a report by the U.S. Energy Information Administration, solar capacity is likely to increase to 30 gigawatts (GW) in 2018 from 2016 end level of 22 GW.\nIt is quite evident that the utility operators are investing to generate more energy from renewable assets. NextEra Energy NEE aims to add nearly 10,100-16,500 MW of new renewable projects (including wind repowering) online over the 2017-2020 time frame.\nDuke Energy Corporation DUK is also investing regularly to increase production from its renewable assets and aims to lower its emission level by 40% in 2030 from 2005 levels.\nPrice Movement\nShares of Dominion have outperformed the industry in the last six months. The stock has gained 6.5% compared with the industry\'s rise of 2.5%\nThe company is gaining from expansion of its electric transmission, natural gas facilities and midstream assets.\nZacks Rank & A Stock to Consider\nDominion carries a Zacks Rank #3 (Hold). A better-ranked stock in the same space is DTE Energy Company DTE carrying a Zacks Rank #2 (Buy). You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here.\nDTE Energy reported an average positive earnings surprise of 3.81% in last four quarters. Its 2017 and 2018 Zacks Consensus Estimate for earnings has moved up 0.4% to $5.54 and 0.9% to $5.73, respectively, in the last 90 days.\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\nNextEra Energy, Inc. (NEE): Free Stock Analysis Report\nDuke Energy Corporation (DUK): Free Stock Analysis Report\nDTE Energy Company (DTE): Free Stock Analysis Report\nDominion Energy Inc. (D): 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': "NextEra Energy NEE aims to add nearly 10,100-16,500 MW of new renewable projects (including wind repowering) online over the 2017-2020 time frame. Click to get this free report NextEra Energy, Inc. (NEE): Free Stock Analysis Report Duke Energy Corporation (DUK): Free Stock Analysis Report DTE Energy Company (DTE): Free Stock Analysis Report Dominion Energy Inc. (D): Free Stock Analysis Report To read this article on Zacks.com click here. Dominion EnergyD announced that it has added 81 megawatt (MW) of solar power to the South Carolina's energy grid.", 'news_luhn_summary': 'Click to get this free report NextEra Energy, Inc. (NEE): Free Stock Analysis Report Duke Energy Corporation (DUK): Free Stock Analysis Report DTE Energy Company (DTE): Free Stock Analysis Report Dominion Energy Inc. (D): Free Stock Analysis Report To read this article on Zacks.com click here. NextEra Energy NEE aims to add nearly 10,100-16,500 MW of new renewable projects (including wind repowering) online over the 2017-2020 time frame. Duke Energy Corporation DUK is also investing regularly to increase production from its renewable assets and aims to lower its emission level by 40% in 2030 from 2005 levels.', 'news_article_title': 'Dominion (D) Adds 81MW Green Power, Strives to Add More', 'news_lexrank_summary': 'NextEra Energy NEE aims to add nearly 10,100-16,500 MW of new renewable projects (including wind repowering) online over the 2017-2020 time frame. Click to get this free report NextEra Energy, Inc. (NEE): Free Stock Analysis Report Duke Energy Corporation (DUK): Free Stock Analysis Report DTE Energy Company (DTE): Free Stock Analysis Report Dominion Energy Inc. (D): Free Stock Analysis Report To read this article on Zacks.com click here. Its two projects - the 71.4 MW Solvay Solar Energy-Jasper County, S.C., facility that came online on Dec 21, 2017 and the 10 MW Ridgeland Solar project that came online on May 28, 2017 - have started production.', 'news_textrank_summary': "Click to get this free report NextEra Energy, Inc. (NEE): Free Stock Analysis Report Duke Energy Corporation (DUK): Free Stock Analysis Report DTE Energy Company (DTE): Free Stock Analysis Report Dominion Energy Inc. (D): Free Stock Analysis Report To read this article on Zacks.com click here. NextEra Energy NEE aims to add nearly 10,100-16,500 MW of new renewable projects (including wind repowering) online over the 2017-2020 time frame. At present, Dominion Energy's renewable generation fleet either under development or in operation, exceeds more than 1,900 MW of clean energy in nine states throughout the United States."}, {'news_url': 'https://www.nasdaq.com/articles/3-strong-buy-dividend-stocks-to-kickstart-2018-2018-01-02', 'news_author': None, 'news_article': 'High dividend stocks appeal to many investors. But as well as a high dividend, it is crucial that these stocks are safe. Otherwise the dividend payout looks set to go down rather than up. To help you find compelling dividend ideas we looked for stocks that also have the support of the Street. If a stock has a ‘Strong Buy’ analyst consensus rating, that suggests it has a better risk profile than stocks where the Street outlook is more bearish.\nWe used the Nasdaq Smart Portfolio’s powerful stock screener to help us pinpoint three top dividend stocks. The screener has nine unique filter options, but we zeroed in on just three. As you can see below, we looked for: mega or large cap stocks from any sector with a high or very high dividend yield and a Strong Buy analyst consensus rating. This rating is based on analyst stock ratings over the last three months only.\nFrom the 20 stocks that the system pulled up, let’s take a closer look at these three:\nBroadcom Ltd (AVGO)\nSemiconductor giant Broadcom has just paid a dividend of $1.75, up from $1.02 the previous quarter. Indeed, with a dividend yield of 2.7%, AVGO has an impressive dividend growth record of eight years and counting.\nFrom a Street perspective, AVGO looks pretty watertight right now. The stock has 100% Street support with no less than 26 consecutive buy ratings in just three months. These analysts are confident AVGO can spike a further 24% to hit the $318 average analyst price target. For example, top Oppenheimer analyst Rick Schafer has just called AVGO his best stock idea for December- January.\nHe said, “We believe AVGO has one of the most strategically and financially attractive business models in semiconductors.”\nSchafer lists four key reasons for his positive outlook on AVGO. The company has 1) a sustained competitive advantage in the growing high-end filter market; 2) a highly diversified, differentiated and "sticky" non-mobile business offering; 3) and efficiently managed manufacturing advantage; and 4) substantial EPS and free cash flow accretion heading its way from the 2016 Broadcom acquisition and the more recent Brocade acquisition.\nSo far Schafer seems to know what he is talking about when it comes to AVGO. Across his 37 ratings on the stock he boasts an impressive 93% success rate and 41% average return.\nCrown Castle (CCI)\nCrown Castle is the US\'s largest provider of wireless infrastructure. CCI only began paying dividends in 2014 but it is already an interesting dividend pick with a with a current yield of 3.78%. The company’s last payout came out at $1.05, up from $0.95 in September.\nImportantly, this US-focused stock also boasts a ‘Strong Buy’ Street consensus rating and upside potential of 6% from the current share price. One of the analysts in support of CCI is five-star RBC Capital analyst Jonathan Atkin. In fact, Atkin is one of the top 10 analysts on TipRanks out of over 4,700 tracked analysts based on his 87% success rate and 19% average return. This five-star analyst currently has a buy rating and $125 price target on CCI (suggesting 12% upside potential). He sees upside to 2018 numbers and says:\n“We believe Crown Castle is well positioned to benefit from the continuing deployment of wireless capacity and coverage in the US and has clear visibility of revenue and EBITDA due to long-term contracts and rent escalators.” At the same time, the company’s “investment appeal is enhanced by its attractive dividend, which should broaden investor interest amongst income investors.”\nNextEra Energy Inc (NEE)\n‘Strong Buy’ stock NextEra Energy is a leading clean energy company with over 46,000 megawatts of generating capacity. This breaks down into four different type of energy generation- wind, solar, fossil fuel and nuclear energy. Back on the 15th of December, NEE paid out a dividend of $0.983 at a yield of just over 2.52%. Note that the company has recorded eight consecutive years of dividend growth.\nArgue Research analyst Jacob Kilstein picks up on this when he reiterates his NEE buy rating while ramping up his price target from $165 to $173 (11% upside). The company\'s premium valuation versus peers is justified by its consistent EPS and dividend growth, says Kilstein. And looking to the future, Kilstein stays confident that the company’s ongoing growth opportunities will continue to support dividend and earnings growth for some time to come.\nOur database covers over 5,000 stocks. Find your own “Strong Buy” stocks in the sector that interests you the most. Go to the Nasdaq Smart Portfolio stock screener now.\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': 'Argue Research analyst Jacob Kilstein picks up on this when he reiterates his NEE buy rating while ramping up his price target from $165 to $173 (11% upside). He sees upside to 2018 numbers and says: “We believe Crown Castle is well positioned to benefit from the continuing deployment of wireless capacity and coverage in the US and has clear visibility of revenue and EBITDA due to long-term contracts and rent escalators.” At the same time, the company’s “investment appeal is enhanced by its attractive dividend, which should broaden investor interest amongst income investors.” NextEra Energy Inc (NEE) ‘Strong Buy’ stock NextEra Energy is a leading clean energy company with over 46,000 megawatts of generating capacity. Back on the 15th of December, NEE paid out a dividend of $0.983 at a yield of just over 2.52%.', 'news_luhn_summary': 'He sees upside to 2018 numbers and says: “We believe Crown Castle is well positioned to benefit from the continuing deployment of wireless capacity and coverage in the US and has clear visibility of revenue and EBITDA due to long-term contracts and rent escalators.” At the same time, the company’s “investment appeal is enhanced by its attractive dividend, which should broaden investor interest amongst income investors.” NextEra Energy Inc (NEE) ‘Strong Buy’ stock NextEra Energy is a leading clean energy company with over 46,000 megawatts of generating capacity. Back on the 15th of December, NEE paid out a dividend of $0.983 at a yield of just over 2.52%. Argue Research analyst Jacob Kilstein picks up on this when he reiterates his NEE buy rating while ramping up his price target from $165 to $173 (11% upside).', 'news_article_title': "3 'Strong Buy' Dividend Stocks To Kickstart 2018", 'news_lexrank_summary': 'He sees upside to 2018 numbers and says: “We believe Crown Castle is well positioned to benefit from the continuing deployment of wireless capacity and coverage in the US and has clear visibility of revenue and EBITDA due to long-term contracts and rent escalators.” At the same time, the company’s “investment appeal is enhanced by its attractive dividend, which should broaden investor interest amongst income investors.” NextEra Energy Inc (NEE) ‘Strong Buy’ stock NextEra Energy is a leading clean energy company with over 46,000 megawatts of generating capacity. Back on the 15th of December, NEE paid out a dividend of $0.983 at a yield of just over 2.52%. Argue Research analyst Jacob Kilstein picks up on this when he reiterates his NEE buy rating while ramping up his price target from $165 to $173 (11% upside).', 'news_textrank_summary': 'He sees upside to 2018 numbers and says: “We believe Crown Castle is well positioned to benefit from the continuing deployment of wireless capacity and coverage in the US and has clear visibility of revenue and EBITDA due to long-term contracts and rent escalators.” At the same time, the company’s “investment appeal is enhanced by its attractive dividend, which should broaden investor interest amongst income investors.” NextEra Energy Inc (NEE) ‘Strong Buy’ stock NextEra Energy is a leading clean energy company with over 46,000 megawatts of generating capacity. Back on the 15th of December, NEE paid out a dividend of $0.983 at a yield of just over 2.52%. Argue Research analyst Jacob Kilstein picks up on this when he reiterates his NEE buy rating while ramping up his price target from $165 to $173 (11% upside).'}], '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': 154.4199981689453, 'high': 156.6699981689453, 'open': 156.42999267578125, 'close': 155.08999633789062, 'ema_50': 154.96143831416998, 'rsi_14': 35.733856332821915, 'target': 151.8000030517578, 'volume': 1191600.0, 'ema_200': 145.79210019294152, 'adj_close': 146.66603088378906, 'rsi_lag_1': 39.63503600856275, 'rsi_lag_2': 43.641457295490646, 'rsi_lag_3': 40.93222213207944, 'rsi_lag_4': 44.37584836627027, 'rsi_lag_5': 45.02432171561273, 'macd_lag_1': -0.15434647978676708, 'macd_lag_2': -0.21276455813557504, 'macd_lag_3': -0.30052379379719696, 'macd_lag_4': -0.30023665799836863, 'macd_lag_5': -0.16415831869250042, 'macd_12_26_9': -0.19456817048015296, 'macds_12_26_9': -0.013532507668980514}, '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}]}
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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.
NEAR
{'date': '2018-01-02', 'ticker': 'NEAR', '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': 50.119998931884766, 'high': 50.13999938964844, 'open': 50.119998931884766, 'close': 50.13999938964844, 'ema_50': 50.18645607107012, 'rsi_14': 47.999572753906136, 'target': 50.13999938964844, 'volume': 316900.0, 'ema_200': 50.21170693133815, 'adj_close': 47.249267578125, 'rsi_lag_1': 41.66640175477587, 'rsi_lag_2': 45.83313464625728, 'rsi_lag_3': 47.825582166788166, 'rsi_lag_4': 45.45438782056811, 'rsi_lag_5': 43.47768397658063, 'macd_lag_1': -0.019591382199990903, 'macd_lag_2': -0.018528076258292003, 'macd_lag_3': -0.017919811254252238, 'macd_lag_4': -0.017900803041506208, 'macd_lag_5': -0.015579756087966246, 'macd_12_26_9': -0.01860571492871088, 'macds_12_26_9': -0.0177934175943731}, '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': 50.13999938964844, '2018-01-04': 50.150001525878906, '2018-01-05': 50.130001068115234, '2018-01-08': 50.130001068115234, '2018-01-09': 50.13999938964844, '2018-01-10': 50.150001525878906, '2018-01-11': 50.15999984741211, '2018-01-12': 50.16999816894531, '2018-01-16': 50.20000076293945}, '1_month_later': {'2018-02-02': 50.15999984741211}, '3_months_later': {'2018-04-02': 50.11000061035156}, '6_months_later': {'2018-07-02': 50.04999923706055}, '12_months_later': {'2019-01-02': 49.86000061035156}}
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.
NE
{'date': '2018-01-02', 'ticker': 'NE', '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': 4.460000038146973, 'high': 4.71999979019165, 'open': 4.570000171661377, 'close': 4.670000076293945, 'ema_50': 4.1666658604484, 'rsi_14': 66.66666666666666, 'target': 4.900000095367432, 'volume': 7476600.0, 'ema_200': 4.540402117268238, 'adj_close': 4.670000076293945, 'rsi_lag_1': 64.3835638808273, 'rsi_lag_2': 60.689651090098856, 'rsi_lag_3': 58.62069078914916, 'rsi_lag_4': 48.02259399955657, 'rsi_lag_5': 41.40127543295746, 'macd_lag_1': 0.06603775498416198, 'macd_lag_2': 0.04445686633344437, 'macd_lag_3': 0.022374244573774682, 'macd_lag_4': -0.0030820875764270284, 'macd_lag_5': -0.03552879388339125, 'macd_12_26_9': 0.09415911119299203, 'macds_12_26_9': 0.024359058010187083}, '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': 4.900000095367432, '2018-01-04': 5.050000190734863, '2018-01-05': 5.059999942779541, '2018-01-08': 5.320000171661377, '2018-01-09': 5.150000095367432, '2018-01-10': 5.320000171661377, '2018-01-11': 5.619999885559082, '2018-01-12': 5.769999980926514, '2018-01-16': 5.380000114440918}, '1_month_later': {'2018-02-02': 4.550000190734863}, '3_months_later': {'2018-04-02': 3.5799999237060547}, '6_months_later': {'2018-07-02': 6.070000171661377}, '12_months_later': {'2019-01-02': 2.75}}
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.
NEXT
{'date': '2018-01-02', 'ticker': 'NEXT', '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': 8.369999885559082, 'high': 8.510000228881836, 'open': 8.369999885559082, 'close': 8.430000305175781, 'ema_50': 9.041099425586667, 'rsi_14': 66.33064397896649, 'target': 8.34000015258789, 'volume': 25500.0, 'ema_200': 9.654454362793322, 'adj_close': 8.430000305175781, 'rsi_lag_1': 65.63785301643617, 'rsi_lag_2': 66.32016172411612, 'rsi_lag_3': 68.01705795950504, 'rsi_lag_4': 65.23517041417742, 'rsi_lag_5': 45.184134102270356, 'macd_lag_1': -0.11479386413897075, 'macd_lag_2': -0.08994476029815246, 'macd_lag_3': -0.06608363223684854, 'macd_lag_4': -0.069285136942284, 'macd_lag_5': -0.07643636070855742, 'macd_12_26_9': -0.12417936559145915, 'macds_12_26_9': -0.1675283502844243}, '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': 8.34000015258789, '2018-01-04': 8.100000381469727, '2018-01-05': 8.039999961853027, '2018-01-08': 8.15999984741211, '2018-01-09': 8.020000457763672, '2018-01-10': 8.220000267028809, '2018-01-11': 8.350000381469727, '2018-01-12': 8.369999885559082, '2018-01-16': 8.149999618530273}, '1_month_later': {'2018-02-02': 6.929999828338623}, '3_months_later': {'2018-04-02': 5.039999961853027}, '6_months_later': {'2018-07-02': 6.489999771118164}, '12_months_later': {'2019-01-02': 5.019999980926514}}
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.
NH
{'date': '2018-01-02', 'ticker': 'NH', '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': 3.0799999237060547, 'high': 3.2730000019073486, 'open': 3.0899999141693115, 'close': 3.220000028610229, 'ema_50': 3.340717872261168, 'rsi_14': 56.48855281372154, 'target': 3.220000028610229, 'volume': 140700.0, 'ema_200': 10.484661371472074, 'adj_close': 3.220000028610229, 'rsi_lag_1': 49.13793174321822, 'rsi_lag_2': 53.4482730271271, 'rsi_lag_3': 58.490571554721235, 'rsi_lag_4': 62.626265545376604, 'rsi_lag_5': 61.05263580575959, 'macd_lag_1': -0.05128086870974213, 'macd_lag_2': -0.04542259075701116, 'macd_lag_3': -0.0423755098130818, 'macd_lag_4': -0.04906996904156058, 'macd_lag_5': -0.0670825968333486, 'macd_12_26_9': -0.04172503060698318, 'macds_12_26_9': -0.06588045106059856}, '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': 3.220000028610229, '2018-01-04': 3.359999895095825, '2018-01-05': 3.5199999809265137, '2018-01-08': 3.609999895095825, '2018-01-09': 3.900000095367432, '2018-01-10': 3.75, '2018-01-11': 3.759999990463257, '2018-01-12': 3.7699999809265137, '2018-01-16': 3.950000047683716}, '1_month_later': {'2018-02-02': 3.130000114440918}, '3_months_later': {'2018-04-02': 3.0899999141693115}, '6_months_later': {'2018-07-02': 3.4600000381469727}, '12_months_later': {'2019-01-02': 0.5709999799728394}}
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.
NGVT
{'date': '2018-01-02', 'ticker': 'NGVT', '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': 70.20999908447266, 'high': 71.12999725341797, 'open': 70.70999908447266, 'close': 70.91000366210938, 'ema_50': 71.91671670236647, 'rsi_14': 37.66342563187089, 'target': 70.47000122070312, 'volume': 228300.0, 'ema_200': 63.86580928577438, 'adj_close': 70.91000366210938, 'rsi_lag_1': 31.25938660636362, 'rsi_lag_2': 30.28324033458496, 'rsi_lag_3': 28.50309112764232, 'rsi_lag_4': 29.523827318310182, 'rsi_lag_5': 25.12375343641517, 'macd_lag_1': -0.9284379939698084, 'macd_lag_2': -0.8683257574365228, 'macd_lag_3': -0.8410796448434894, 'macd_lag_4': -0.7991602547585188, 'macd_lag_5': -0.7442141600661074, 'macd_12_26_9': -0.9298540757686453, 'macds_12_26_9': -0.6557175845501223}, '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': 70.47000122070312, '2018-01-04': 72.83000183105469, '2018-01-05': 73.80999755859375, '2018-01-08': 72.81999969482422, '2018-01-09': 73.98999786376953, '2018-01-10': 73.16000366210938, '2018-01-11': 75.48999786376953, '2018-01-12': 74.55000305175781, '2018-01-16': 73.83000183105469}, '1_month_later': {'2018-02-02': 72.94999694824219}, '3_months_later': {'2018-04-02': 71.5}, '6_months_later': {'2018-07-02': 81.06999969482422}, '12_months_later': {'2019-01-02': 84.0199966430664}}
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.
NGVC
{'date': '2018-01-02', 'ticker': 'NGVC', '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': 8.859999656677246, 'high': 9.039999961853027, 'open': 8.989999771118164, 'close': 8.90999984741211, 'ema_50': 7.5273634881689455, 'rsi_14': 62.13992883936584, 'target': 8.869999885559082, 'volume': 126400.0, 'ema_200': 8.049963208940717, 'adj_close': 8.714436531066895, 'rsi_lag_1': 63.70969664667796, 'rsi_lag_2': 58.73607199999151, 'rsi_lag_3': 60.91550135277489, 'rsi_lag_4': 65.44850772017462, 'rsi_lag_5': 61.36364410450672, 'macd_lag_1': 0.5750789937776997, 'macd_lag_2': 0.6046279953182783, 'macd_lag_3': 0.6315123642090725, 'macd_lag_4': 0.6596954789255314, 'macd_lag_5': 0.6789445694516978, 'macd_12_26_9': 0.54377898176587, 'macds_12_26_9': 0.6291368239775696}, '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': 8.869999885559082, '2018-01-04': 8.670000076293945, '2018-01-05': 8.510000228881836, '2018-01-08': 8.420000076293945, '2018-01-09': 8.300000190734863, '2018-01-10': 8.149999618530273, '2018-01-11': 8.420000076293945, '2018-01-12': 8.329999923706055, '2018-01-16': 8.5600004196167}, '1_month_later': {'2018-02-02': 6.610000133514404}, '3_months_later': {'2018-04-02': 6.949999809265137}, '6_months_later': {'2018-07-02': 12.56999969482422}, '12_months_later': {'2019-01-02': 15.6899995803833}}
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.
NGS
{'date': '2018-01-02', 'ticker': 'NGS', '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': 26.14999961853028, 'high': 26.89999961853028, 'open': 26.200000762939453, 'close': 26.799999237060547, 'ema_50': 25.961198719787777, 'rsi_14': 69.76742329244665, 'target': 27.600000381469727, 'volume': 25800.0, 'ema_200': 26.033915980410313, 'adj_close': 26.799999237060547, 'rsi_lag_1': 68.29267271497442, 'rsi_lag_2': 62.025323790475554, 'rsi_lag_3': 62.82050780447635, 'rsi_lag_4': 54.444461398654525, 'rsi_lag_5': 43.36283365088709, 'macd_lag_1': 0.025456260849686885, 'macd_lag_2': -0.01636199409837502, 'macd_lag_3': -0.03386289893191474, 'macd_lag_4': -0.06588972323008946, 'macd_lag_5': -0.10580920117822856, 'macd_12_26_9': 0.10579287721068198, 'macds_12_26_9': -0.07638557018502933}, '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': 27.600000381469727, '2018-01-04': 27.75, '2018-01-05': 27.39999961853028, '2018-01-08': 28.14999961853028, '2018-01-09': 27.950000762939453, '2018-01-10': 27.950000762939453, '2018-01-11': 28.64999961853028, '2018-01-12': 28.799999237060547, '2018-01-16': 28.850000381469727}, '1_month_later': {'2018-02-02': 27.200000762939453}, '3_months_later': {'2018-04-02': 24.350000381469727}, '6_months_later': {'2018-07-02': 23.39999961853028}, '12_months_later': {'2019-01-02': 17.709999084472656}}
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.
NGL
{'date': '2018-01-02', 'ticker': 'NGL', '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/18/01/10971523/ngl-energy-gives-an-update-on-plans-to-use-300m-of-asset-sale-proceeds-to-reduce', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'NGL Energy Gives an Update on Plans to Use $300M of Asset Sale Proceeds to Reduce Debt', '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': 14.149999618530272, 'high': 14.880000114440918, 'open': 14.149999618530272, 'close': 14.600000381469728, 'ema_50': 12.907748505871739, 'rsi_14': 54.666669379338906, 'target': 14.899999618530272, 'volume': 748500.0, 'ema_200': 13.647348112644298, 'adj_close': 10.532418251037598, 'rsi_lag_1': 52.77777409848006, 'rsi_lag_2': 56.41025390223814, 'rsi_lag_3': 66.29212640358836, 'rsi_lag_4': 66.29212640358833, 'rsi_lag_5': 72.1153791486882, 'macd_lag_1': 0.4595030912252085, 'macd_lag_2': 0.4815620540260621, 'macd_lag_3': 0.5332582469990488, 'macd_lag_4': 0.571121287312133, 'macd_lag_5': 0.5755046739284655, 'macd_12_26_9': 0.48085858468800424, 'macds_12_26_9': 0.5114700184209293}, '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': 14.899999618530272, '2018-01-04': 15.149999618530272, '2018-01-05': 15.5, '2018-01-08': 15.5, '2018-01-09': 15.550000190734863, '2018-01-10': 15.75, '2018-01-11': 16.450000762939453, '2018-01-12': 16.600000381469727, '2018-01-16': 16.100000381469727}, '1_month_later': {'2018-02-02': 15.75}, '3_months_later': {'2018-04-02': 10.649999618530272}, '6_months_later': {'2018-07-02': 12.550000190734863}, '12_months_later': {'2019-01-02': 9.90999984741211}}
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.
NGHCZ
{'date': '2018-01-02', 'ticker': 'NGHCZ', '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': 25.39999961853028, 'high': 25.558000564575195, 'open': 25.420000076293945, 'close': 25.400999069213867, 'ema_50': 25.60501140894827, 'rsi_14': 39.43501517306852, 'target': 25.5, 'volume': 3600.0, 'ema_200': 25.562779879680036, 'adj_close': 21.44635009765625, 'rsi_lag_1': 47.70644930985241, 'rsi_lag_2': 44.736793672942774, 'rsi_lag_3': 49.038436850078305, 'rsi_lag_4': 54.08271002139963, 'rsi_lag_5': 59.45684565213644, 'macd_lag_1': -0.04947489630579227, 'macd_lag_2': -0.04166790648081076, 'macd_lag_3': -0.030079064796513677, 'macd_lag_4': -0.02706824228073046, 'macd_lag_5': -0.038104306450495784, 'macd_12_26_9': -0.05574567808982778, 'macds_12_26_9': -0.04488093477961587}, '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': 25.5, '2018-01-04': 25.450000762939453, '2018-01-05': 25.58799934387207, '2018-01-08': 25.780000686645508, '2018-01-09': 25.799999237060547, '2018-01-10': 25.81599998474121, '2018-01-11': 25.690000534057617, '2018-01-12': 25.39999961853028, '2018-01-16': 24.89999961853028}, '1_month_later': {'2018-02-02': 24.489999771118164}, '3_months_later': {'2018-04-02': 24.94099998474121}, '6_months_later': {'2018-07-02': 25.63999938964844}, '12_months_later': {'2019-01-02': 23.239999771118164}}
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.
NGHCP
{'date': '2018-01-02', 'ticker': 'NGHCP', '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': 25.155000686645508, 'high': 25.155000686645508, 'open': 25.155000686645508, 'close': 25.155000686645508, 'ema_50': 25.614096527041085, 'rsi_14': 41.308057527227746, 'target': 25.155000686645508, 'volume': 500.0, 'ema_200': 25.655419945732906, 'adj_close': 20.158666610717773, 'rsi_lag_1': 42.31437509161967, 'rsi_lag_2': 43.30103854767527, 'rsi_lag_3': 52.59694414999886, 'rsi_lag_4': 43.75516703379539, 'rsi_lag_5': 41.10637386076714, 'macd_lag_1': -0.06330045377842453, 'macd_lag_2': -0.0409019577302665, 'macd_lag_3': -0.01171839429817112, 'macd_lag_4': -0.043535500491138635, 'macd_lag_5': -0.03372333067149569, 'macd_12_26_9': -0.08850379218511151, 'macds_12_26_9': -0.04033595800517442}, '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': 25.155000686645508, '2018-01-04': 25.441999435424805, '2018-01-05': 25.34199905395508, '2018-01-08': 25.375, '2018-01-09': 25.458999633789062, '2018-01-10': 25.280000686645508, '2018-01-11': 25.100000381469727, '2018-01-12': 24.809999465942383, '2018-01-16': 24.5}, '1_month_later': {'2018-02-02': 23.729999542236328}, '3_months_later': {'2018-04-02': 25.075000762939453}, '6_months_later': {'2018-07-02': 25.364999771118164}, '12_months_later': {'2019-01-02': 21.200000762939453}}
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.
NGHCN
{'date': '2018-01-02', 'ticker': 'NGHCN', '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': 24.89999961853028, 'high': 25.040000915527344, 'open': 25.040000915527344, 'close': 24.920000076293945, 'ema_50': 25.246412916350963, 'rsi_14': 38.338217548698495, 'target': 24.959999084472656, 'volume': 25100.0, 'ema_200': 25.34303251302148, 'adj_close': 19.87928009033203, 'rsi_lag_1': 37.464424039635766, 'rsi_lag_2': 37.99434799943987, 'rsi_lag_3': 51.14857000150439, 'rsi_lag_4': 55.13424502334461, 'rsi_lag_5': 48.607275823275266, 'macd_lag_1': -0.046819350303156426, 'macd_lag_2': -0.03466194820551749, 'macd_lag_3': -0.01660409821833042, 'macd_lag_4': -0.01775054131990217, 'macd_lag_5': -0.026082871568807064, 'macd_12_26_9': -0.06458580405096725, 'macds_12_26_9': -0.03395553255429978}, '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': 24.959999084472656, '2018-01-04': 24.979999542236328, '2018-01-05': 24.920000076293945, '2018-01-08': 25.09000015258789, '2018-01-09': 25.190000534057617, '2018-01-10': 25.200000762939453, '2018-01-11': 25.0, '2018-01-12': 24.8799991607666, '2018-01-16': 24.68000030517578}, '1_month_later': {'2018-02-02': 23.780000686645508}, '3_months_later': {'2018-04-02': 24.790000915527344}, '6_months_later': {'2018-07-02': 25.200000762939453}, '12_months_later': {'2019-01-02': 20.86000061035156}}
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.
NEXA
{'date': '2018-01-02', 'ticker': 'NEXA', '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/stocks-showing-improved-relative-strength-silver-wheaton-2018-01-02', 'news_author': None, 'news_article': "The Relative Strength ( RS ) Rating for Silver Wheaton ( WPM ) moved up into a higher percentile Tuesday, as it got a lift from 69 to 73.\n[ibd-display-video id=2385970 width=50 float=left autostart=true] IBD's unique rating measures price movement with a 1 (worst) to 99 (best) score. The grade shows how a stock's price movement over the trailing 52 weeks compares to all the other stocks in our database.\nHistory shows that the best stocks often have an 80 or higher RS Rating as they begin their biggest price moves. See if Silver Wheaton can continue to rebound and clear that threshold.\nSee How IBD Helps You Make More Money In Stocks\nWhile now is not an ideal time to jump in, see if the stock goes on to establish and enter a buy zone in heavy volume.\nThe company posted negative growth for both the top and bottom lines last quarter.\nThe company earns the No. 16 rank among its peers in the Mining-Gold/Silver/Gems industry group. ( KL ), ( NEXA ) and Pretium Resources ( PVG ) are among the top 5 highly rated stocks within the group.\nRELATED:\nWhich Stocks Are Showing Improved Technical Action?\nWhy Should You Use IBD's Relative Strength Rating?\nHow Relative Strength Line Can Help You Judge A Stock\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': '( KL ), ( NEXA ) and Pretium Resources ( PVG ) are among the top 5 highly rated stocks within the group. The Relative Strength ( RS ) Rating for Silver Wheaton ( WPM ) moved up into a higher percentile Tuesday, as it got a lift from 69 to 73. History shows that the best stocks often have an 80 or higher RS Rating as they begin their biggest price moves.', 'news_luhn_summary': "( KL ), ( NEXA ) and Pretium Resources ( PVG ) are among the top 5 highly rated stocks within the group. The Relative Strength ( RS ) Rating for Silver Wheaton ( WPM ) moved up into a higher percentile Tuesday, as it got a lift from 69 to 73. Why Should You Use IBD's Relative Strength Rating?", 'news_article_title': 'Stocks Showing Improved Relative Strength: Silver Wheaton', 'news_lexrank_summary': "( KL ), ( NEXA ) and Pretium Resources ( PVG ) are among the top 5 highly rated stocks within the group. The Relative Strength ( RS ) Rating for Silver Wheaton ( WPM ) moved up into a higher percentile Tuesday, as it got a lift from 69 to 73. The grade shows how a stock's price movement over the trailing 52 weeks compares to all the other stocks in our database.", 'news_textrank_summary': "( KL ), ( NEXA ) and Pretium Resources ( PVG ) are among the top 5 highly rated stocks within the group. The grade shows how a stock's price movement over the trailing 52 weeks compares to all the other stocks in our database. History shows that the best stocks often have an 80 or higher RS Rating as they begin their biggest price moves."}], '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': 19.76000022888184, 'high': 20.32999992370605, 'open': 19.850000381469727, 'close': 20.030000686645508, 'ema_50': 16.36726059372193, 'rsi_14': 87.8220438654599, 'target': 20.100000381469727, 'volume': 180900.0, 'ema_200': 12.656137094284675, 'adj_close': 17.064407348632812, 'rsi_lag_1': 87.64848220705295, 'rsi_lag_2': 84.54336161750433, 'rsi_lag_3': 82.90159357628158, 'rsi_lag_4': 80.20051551024233, 'rsi_lag_5': 74.27056534948258, 'macd_lag_1': 0.9147538339175689, 'macd_lag_2': 0.8718499176225265, 'macd_lag_3': 0.8125529124360504, 'macd_lag_4': 0.7678130639488998, 'macd_lag_5': 0.6689951813580564, 'macd_12_26_9': 0.9714477478255432, 'macds_12_26_9': 0.7814582679841842}, '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': 20.100000381469727, '2018-01-04': 20.0, '2018-01-05': 19.89999961853028, '2018-01-08': 20.0, '2018-01-09': 19.950000762939453, '2018-01-10': 20.25, '2018-01-11': 20.0, '2018-01-12': 20.25, '2018-01-16': 20.40999984741211}, '1_month_later': {'2018-02-02': 19.64999961853028}, '3_months_later': {'2018-04-02': 17.389999389648438}, '6_months_later': {'2018-07-02': 11.220000267028809}, '12_months_later': {'2019-01-02': 12.0600004196167}}
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.
NGD
{'date': '2018-01-02', 'ticker': 'NGD', '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': 3.319999933242798, 'high': 3.4200000762939453, 'open': 3.3399999141693115, 'close': 3.4100000858306885, 'ema_50': 3.2681414322295708, 'rsi_14': 81.42858407935664, 'target': 3.450000047683716, 'volume': 4756400.0, 'ema_200': 3.3686571315888787, 'adj_close': 3.4100000858306885, 'rsi_lag_1': 63.38029398707973, 'rsi_lag_2': 65.78948441635566, 'rsi_lag_3': 68.4931609750999, 'rsi_lag_4': 69.4444545625231, 'rsi_lag_5': 65.15152774019869, 'macd_lag_1': 0.02064631716532439, 'macd_lag_2': 0.015164402553915046, 'macd_lag_3': 0.0079469129582046, 'macd_lag_4': -0.006471724004643242, 'macd_lag_5': -0.025799194589779084, 'macd_12_26_9': 0.034278638307349674, 'macds_12_26_9': -0.01041388391213006}, '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': 3.450000047683716, '2018-01-04': 3.470000028610229, '2018-01-05': 3.430000066757202, '2018-01-08': 3.25, '2018-01-09': 3.119999885559082, '2018-01-10': 3.190000057220459, '2018-01-11': 3.2300000190734863, '2018-01-12': 3.390000104904175, '2018-01-16': 3.440000057220459}, '1_month_later': {'2018-02-02': 2.880000114440918}, '3_months_later': {'2018-04-02': 2.650000095367432}, '6_months_later': {'2018-07-02': 2.049999952316284}, '12_months_later': {'2019-01-02': 0.8299999833106995}}
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.
NFTY
{'date': '2018-01-02', 'ticker': 'NFTY', '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': 35.86000061035156, 'high': 35.86000061035156, 'open': 35.86000061035156, 'close': 35.86000061035156, 'ema_50': 36.11107377911869, 'rsi_14': 50.98686315673237, 'target': 35.86000061035156, 'volume': 0.0, 'ema_200': 35.67658157584638, 'adj_close': 32.66472244262695, 'rsi_lag_1': 47.40064301479671, 'rsi_lag_2': 47.40064301479671, 'rsi_lag_3': 26.18026313204402, 'rsi_lag_4': 26.18026313204402, 'rsi_lag_5': 34.46330240627579, 'macd_lag_1': -0.22230284754473928, 'macd_lag_2': -0.2606763453888874, 'macd_lag_3': -0.30586322670429666, 'macd_lag_4': -0.26337985970618405, 'macd_lag_5': -0.20532465514195053, 'macd_12_26_9': -0.189704775472606, 'macds_12_26_9': -0.21694563862320637}, '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': 35.86000061035156, '2018-01-04': 36.86000061035156, '2018-01-05': 37.08000183105469, '2018-01-08': 36.93999862670898, '2018-01-09': 37.119998931884766, '2018-01-10': 36.9900016784668, '2018-01-11': 36.84000015258789, '2018-01-12': 37.09999847412109, '2018-01-16': 37.09999847412109}, '1_month_later': {'2018-02-02': 37.4900016784668}, '3_months_later': {'2018-04-02': 38.880001068115234}, '6_months_later': {'2018-07-02': 36.369998931884766}, '12_months_later': {'2019-01-02': 35.08000183105469}}
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.
NFLX
{'date': '2018-01-02', 'ticker': 'NFLX', '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/18/01/10973966/28-stocks-moving-in-tuesdays-mid-day-session', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "28 Stocks Moving In Tuesday's Mid-Day Session", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/fintech/18/01/10970545/a-disruptive-tech-etf-debuts', 'news_author': None, 'news_article': None, 'news_publisher': 'ETF Professor', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'A Disruptive Tech ETF Debuts', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/analyst-ratings/analyst-color/18/01/10972758/wall-street-praises-netflixs-outlook-as-price-increases', 'news_author': None, 'news_article': None, 'news_publisher': 'Jayson Derrick', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Wall Street Praises Netflix's Outlook As Price Increases Begin To Take Effect", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/analyst-ratings/analyst-color/18/01/10972595/loop-capital-calls-netflix-their-best-idea-for-2018-fir', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Loop Capital Calls Netflix Their Best Idea For 2018, Firm Expects Co. Will See True Operating Leverage This Year And Believes Co. Is Poised To 'Deliver At A Level Well Beyond What We Witnessed In 2017'", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/analyst-ratings/upgrades/18/01/10972481/benzingas-top-upgrades-downgrades-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': "Benzinga's Top Upgrades, Downgrades For January 2, 2018", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'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}, {'news_url': 'https://www.benzinga.com/news/18/01/10971623/macquarie-upgrades-netflix-to-outperform', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Macquarie Upgrades Netflix to Outperform', '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': 195.4199981689453, 'high': 201.6499938964844, 'open': 196.1000061035156, 'close': 201.07000732421875, 'ema_50': 190.14394259919632, 'rsi_14': 73.25398577631478, 'target': 205.0500030517578, 'volume': 10966900.0, 'ema_200': 172.81065100869827, 'adj_close': 201.07000732421875, 'rsi_lag_1': 56.80193205047899, 'rsi_lag_2': 63.541303264047905, 'rsi_lag_3': 52.200378611994196, 'rsi_lag_4': 58.480611225732254, 'rsi_lag_5': 65.59196672750271, 'macd_lag_1': -0.34438560194089973, 'macd_lag_2': -0.632141098552836, 'macd_lag_3': -1.0665906073404017, 'macd_lag_4': -0.9468283563418254, 'macd_lag_5': -0.9349586430943191, 'macd_12_26_9': 0.6117121788735744, 'macds_12_26_9': -0.6428731577968669}, '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': 205.0500030517578, '2018-01-04': 205.6300048828125, '2018-01-05': 209.9900054931641, '2018-01-08': 212.0500030517578, '2018-01-09': 209.3099975585937, '2018-01-10': 212.5200042724609, '2018-01-11': 217.2400054931641, '2018-01-12': 221.22999572753903, '2018-01-16': 221.52999877929688}, '1_month_later': {'2018-02-02': 267.42999267578125}, '3_months_later': {'2018-04-02': 280.2900085449219}, '6_months_later': {'2018-07-02': 398.1799926757813}, '12_months_later': {'2019-01-02': 267.6600036621094}}
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.
nflt
{'date': '2018-01-02', 'ticker': 'nflt', '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': 25.18000030517578, 'high': 25.25, 'open': 25.18000030517578, 'close': 25.190000534057617, 'ema_50': 25.561004751881583, 'rsi_14': 23.480063738456295, 'target': 25.239999771118164, 'volume': 23100.0, 'ema_200': 25.631938030365074, 'adj_close': 19.46902656555176, 'rsi_lag_1': 27.368332289307233, 'rsi_lag_2': 20.879017231151863, 'rsi_lag_3': 19.501525058068083, 'rsi_lag_4': 19.4140974904375, 'rsi_lag_5': 14.973646525914603, 'macd_lag_1': -0.14701871766596852, 'macd_lag_2': -0.14909902030315791, 'macd_lag_3': -0.14245828826447493, 'macd_lag_4': -0.13089197369237482, 'macd_lag_5': -0.11178161365862138, 'macd_12_26_9': -0.14690422801671588, 'macds_12_26_9': -0.11211326972578747}, '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': 25.239999771118164, '2018-01-04': 25.21999931335449, '2018-01-05': 25.31800079345703, '2018-01-08': 25.239999771118164, '2018-01-09': 25.25300025939941, '2018-01-10': 25.25, '2018-01-11': 25.270000457763672, '2018-01-12': 25.239999771118164, '2018-01-16': 25.257999420166016}, '1_month_later': {'2018-02-02': 25.170000076293945}, '3_months_later': {'2018-04-02': 24.7549991607666}, '6_months_later': {'2018-07-02': 24.13999938964844}, '12_months_later': {'2019-01-02': 23.415000915527344}}
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.
NFJ
{'date': '2018-01-02', 'ticker': 'NFJ', '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': 13.0, 'high': 13.100000381469728, 'open': 13.079999923706056, 'close': 13.039999961853027, 'ema_50': 13.313186953051973, 'rsi_14': 21.59094357289314, 'target': 13.079999923706056, 'volume': 817600.0, 'ema_200': 13.202551546604685, 'adj_close': 10.763846397399902, 'rsi_lag_1': 25.274757520658568, 'rsi_lag_2': 26.087006098325787, 'rsi_lag_3': 27.777836646462944, 'rsi_lag_4': 32.98971606103508, 'rsi_lag_5': 34.04256830174201, 'macd_lag_1': -0.0803778744527115, 'macd_lag_2': -0.06882433628386764, 'macd_lag_3': -0.05002222077262353, 'macd_lag_4': -0.02835080657500555, 'macd_lag_5': -0.0002778261762266254, 'macd_12_26_9': -0.08931154370431393, 'macds_12_26_9': -0.036362863812148045}, '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': 13.079999923706056, '2018-01-04': 13.100000381469728, '2018-01-05': 13.229999542236328, '2018-01-08': 13.289999961853027, '2018-01-09': 13.31999969482422, '2018-01-10': 13.350000381469728, '2018-01-11': 13.460000038146973, '2018-01-12': 13.470000267028809, '2018-01-16': 13.420000076293944}, '1_month_later': {'2018-02-02': 13.350000381469728}, '3_months_later': {'2018-04-02': 12.5}, '6_months_later': {'2018-07-02': 12.59000015258789}, '12_months_later': {'2019-01-02': 10.8100004196167}}
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.
NGE
{'date': '2018-01-02', 'ticker': 'NGE', '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': 21.71999931335449, 'high': 21.850000381469727, 'open': 21.81999969482422, 'close': 21.809999465942383, 'ema_50': 21.615104569573834, 'rsi_14': 30.13695050943292, 'target': 22.25, 'volume': 11100.0, 'ema_200': 20.279049870365625, 'adj_close': 21.809999465942383, 'rsi_lag_1': 19.208976840217886, 'rsi_lag_2': 12.93525067895989, 'rsi_lag_3': 31.250011462442686, 'rsi_lag_4': 57.912448182077966, 'rsi_lag_5': 64.0804550452118, 'macd_lag_1': 0.10885915991223172, 'macd_lag_2': 0.1421780158966044, 'macd_lag_3': 0.19078239499004823, 'macd_lag_4': 0.2174622590664086, 'macd_lag_5': 0.23002527039505338, 'macd_12_26_9': 0.08949132129628268, 'macds_12_26_9': 0.17702133058596453}, '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': 22.25, '2018-01-04': 22.530000686645508, '2018-01-05': 22.959999084472656, '2018-01-08': 23.200000762939453, '2018-01-09': 24.049999237060547, '2018-01-10': 24.56999969482422, '2018-01-11': 25.6299991607666, '2018-01-12': 25.15999984741211, '2018-01-16': 25.739999771118164}, '1_month_later': {'2018-02-02': 25.07999992370605}, '3_months_later': {'2018-04-02': 23.14999961853028}, '6_months_later': {'2018-07-02': 21.299999237060547}, '12_months_later': {'2019-01-02': 16.5}}
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.
NHA
{'date': '2018-01-02', 'ticker': 'NHA', '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': 9.399999618530272, 'high': 9.505000114440918, 'open': 9.420000076293944, 'close': 9.479999542236328, 'ema_50': 9.57422348530437, 'rsi_14': 58.33328918158575, 'target': 9.510000228881836, 'volume': 31000.0, 'ema_200': 9.804388106620106, 'adj_close': 9.07296657562256, 'rsi_lag_1': 47.222148635975934, 'rsi_lag_2': 36.11100809036609, 'rsi_lag_3': 34.21038101882742, 'rsi_lag_4': 40.476201288822566, 'rsi_lag_5': 35.714269495301, 'macd_lag_1': -0.052224743340278934, 'macd_lag_2': -0.0583592691821071, 'macd_lag_3': -0.06126756940708411, 'macd_lag_4': -0.06408845341195502, 'macd_lag_5': -0.0657386234710522, 'macd_12_26_9': -0.04363245698201901, 'macds_12_26_9': -0.05979404802221853}, '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': 9.510000228881836, '2018-01-04': 9.550000190734863, '2018-01-05': 9.539999961853027, '2018-01-08': 9.5600004196167, '2018-01-09': 9.600000381469728, '2018-01-10': 9.583999633789062, '2018-01-11': 9.619999885559082, '2018-01-12': 9.576000213623049, '2018-01-16': 9.619999885559082}, '1_month_later': {'2018-02-02': 9.5}, '3_months_later': {'2018-04-02': 9.31999969482422}, '6_months_later': {'2018-07-02': 9.5600004196167}, '12_months_later': {'2019-01-02': 9.388999938964844}}
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.
NDSN
{'date': '2018-01-02', 'ticker': 'NDSN', '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/can-nordson-ndsn-run-higher-on-strong-earnings-estimate-revisions-2018-01-02', 'news_author': None, 'news_article': 'Nordson CorporationNDSN is a precision dispensing equipment producing company that could be an interesting play for investors. That is because, not only does the stock have decent short-term momentum, but it is seeing solid activity on the earnings estimate revision front as well.\nThese positive earnings estimate revisions suggest that analysts are becoming more optimistic on NDSN\'s earnings for the coming quarter and year. In fact, consensus estimates have moved sharply higher for both of these time frames over the past four weeks, suggesting that HUBS International could be a solid choice for investors.\nCurrent Quarter Estimates forNDSN\nIn the past 30 days, four estimates have gone higher for Nordson compared to two lower in the same time period. The trend has been pretty favorable too, with estimates increasing from 90 cents a share 30 days ago, to $1.35 a share today, a move of 50%.\nCurrent Year Estimates forNDSN\nMeanwhile, Nordson\'s current year figures are also looking quite promising, with seven estimates moving higher in the past month, compared to none lower. The consensus estimate trend has also seen a boost for this time frame, increasing from $5.82 per share 30 days ago to $6.23 per share today, an increase of 7.04%.\nNordson Corporation Price and Consensus\nNordson Corporation Price and Consensus | Nordson Corporation Quote\nBottom Line\nThe stock has also started to move higher lately, adding 14.05% over the past four weeks, suggesting that investors are starting to take note of this impressive story. So investors may definitely want to consider this Zacks Rank #3 (Hold) stock to profit in the near future. 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\nNordson Corporation (NDSN): 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': "Nordson CorporationNDSN is a precision dispensing equipment producing company that could be an interesting play for investors. These positive earnings estimate revisions suggest that analysts are becoming more optimistic on NDSN's earnings for the coming quarter and year. Current Quarter Estimates forNDSN In the past 30 days, four estimates have gone higher for Nordson compared to two lower in the same time period.", 'news_luhn_summary': 'Current Quarter Estimates forNDSN In the past 30 days, four estimates have gone higher for Nordson compared to two lower in the same time period. Click to get this free report Nordson Corporation (NDSN): Free Stock Analysis Report To read this article on Zacks.com click here. Nordson CorporationNDSN is a precision dispensing equipment producing company that could be an interesting play for investors.', 'news_article_title': 'Can Nordson (NDSN) Run Higher on Strong Earnings Estimate Revisions?', 'news_lexrank_summary': "Current Quarter Estimates forNDSN In the past 30 days, four estimates have gone higher for Nordson compared to two lower in the same time period. Nordson CorporationNDSN is a precision dispensing equipment producing company that could be an interesting play for investors. These positive earnings estimate revisions suggest that analysts are becoming more optimistic on NDSN's earnings for the coming quarter and year.", 'news_textrank_summary': "Current Quarter Estimates forNDSN In the past 30 days, four estimates have gone higher for Nordson compared to two lower in the same time period. Current Year Estimates forNDSN Meanwhile, Nordson's current year figures are also looking quite promising, with seven estimates moving higher in the past month, compared to none lower. Nordson CorporationNDSN is a precision dispensing equipment producing company that could be an interesting play for investors."}], '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': 145.72999572753906, 'high': 148.4600067138672, 'open': 145.72999572753906, 'close': 147.4199981689453, 'ema_50': 132.55966306310373, 'rsi_14': 86.6491926353424, 'target': 149.1199951171875, 'volume': 266200.0, 'ema_200': 122.56491763503647, 'adj_close': 143.7727813720703, 'rsi_lag_1': 79.98741138593638, 'rsi_lag_2': 81.16262431691734, 'rsi_lag_3': 80.8585996396602, 'rsi_lag_4': 80.53183303710796, 'rsi_lag_5': 76.98917242938377, 'macd_lag_1': 5.29717322626135, 'macd_lag_2': 5.283545314184266, 'macd_lag_3': 5.144499325983645, 'macd_lag_4': 5.025578571359205, 'macd_lag_5': 4.872983158935767, 'macd_12_26_9': 5.328851581090589, 'macds_12_26_9': 4.619988030234546}, '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': 149.1199951171875, '2018-01-04': 150.17999267578125, '2018-01-05': 149.33999633789062, '2018-01-08': 148.41000366210938, '2018-01-09': 146.88999938964844, '2018-01-10': 145.66000366210938, '2018-01-11': 147.42999267578125, '2018-01-12': 148.4600067138672, '2018-01-16': 146.24000549316406}, '1_month_later': {'2018-02-02': 141.72000122070312}, '3_months_later': {'2018-04-02': 132.7100067138672}, '6_months_later': {'2018-07-02': 128.4199981689453}, '12_months_later': {'2019-01-02': 117.06999969482422}}
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.
NBHC
{'date': '2018-01-02', 'ticker': 'NBHC', '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': 32.060001373291016, 'high': 32.630001068115234, 'open': 32.400001525878906, 'close': 32.279998779296875, 'ema_50': 32.72093498828343, 'rsi_14': 54.76772296878844, 'target': 32.22999954223633, 'volume': 146500.0, 'ema_200': 32.153336998762036, 'adj_close': 30.565393447875977, 'rsi_lag_1': 55.583142992638486, 'rsi_lag_2': 60.54053273837756, 'rsi_lag_3': 50.29070444401319, 'rsi_lag_4': 40.995275015435055, 'rsi_lag_5': 38.53004221653367, 'macd_lag_1': -0.04582222473460007, 'macd_lag_2': -0.04238527890376531, 'macd_lag_3': -0.07709100184165862, 'macd_lag_4': -0.06833969908129234, 'macd_lag_5': -0.05617582248051889, 'macd_12_26_9': -0.05995873165526433, 'macds_12_26_9': -0.0770110438458537}, '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': 32.22999954223633, '2018-01-04': 32.59000015258789, '2018-01-05': 32.709999084472656, '2018-01-08': 32.459999084472656, '2018-01-09': 32.779998779296875, '2018-01-10': 33.130001068115234, '2018-01-11': 33.52000045776367, '2018-01-12': 33.58000183105469, '2018-01-16': 33.34000015258789}, '1_month_later': {'2018-02-02': 33.130001068115234}, '3_months_later': {'2018-04-02': 32.58000183105469}, '6_months_later': {'2018-07-02': 39.150001525878906}, '12_months_later': {'2019-01-02': 30.82999992370605}}
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.
NBEV
{'date': '2018-01-02', 'ticker': 'NBEV', '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': 2.180000066757202, 'high': 2.319999933242798, 'open': 2.200000047683716, 'close': 2.220000028610229, 'ema_50': 2.356714104924664, 'rsi_14': 48.48484957951619, 'target': 2.177000045776367, 'volume': 176800.0, 'ema_200': 3.233062526818467, 'adj_close': 2.220000028610229, 'rsi_lag_1': 48.48484957951622, 'rsi_lag_2': 38.98303509442591, 'rsi_lag_3': 35.71427050901113, 'rsi_lag_4': 33.3333186161295, 'rsi_lag_5': 39.99997880722839, 'macd_lag_1': -0.06070750830962446, 'macd_lag_2': -0.07261610001376884, 'macd_lag_3': -0.07759590734336363, 'macd_lag_4': -0.07569601866160447, 'macd_lag_5': -0.07013367514201807, 'macd_12_26_9': -0.04669699145283168, 'macds_12_26_9': -0.06749847322228561}, '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': 2.177000045776367, '2018-01-04': 2.119999885559082, '2018-01-05': 2.1700000762939453, '2018-01-08': 2.140000104904175, '2018-01-09': 2.220000028610229, '2018-01-10': 2.555000066757202, '2018-01-11': 3.1700000762939453, '2018-01-12': 2.880000114440918, '2018-01-16': 2.869999885559082}, '1_month_later': {'2018-02-02': 3.670000076293945}, '3_months_later': {'2018-04-02': 2.450000047683716}, '6_months_later': {'2018-07-02': 1.7899999618530271}, '12_months_later': {'2019-01-02': 5.289999961853027}}
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.
NAZ
{'date': '2018-01-02', 'ticker': 'NAZ', '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': 14.0, 'high': 14.1899995803833, 'open': 14.0, 'close': 14.1899995803833, 'ema_50': 14.514564018696918, 'rsi_14': 12.328681222638963, 'target': 14.289999961853027, 'volume': 27100.0, 'ema_200': 14.594380135950841, 'adj_close': 12.816285133361816, 'rsi_lag_1': 11.111111111111114, 'rsi_lag_2': 15.78947368421052, 'rsi_lag_3': 15.18985966500675, 'rsi_lag_4': 22.222248386113094, 'rsi_lag_5': 24.390229719294, 'macd_lag_1': -0.1326019123015829, 'macd_lag_2': -0.12576399346305323, 'macd_lag_3': -0.1152070280587747, 'macd_lag_4': -0.10311128098261513, 'macd_lag_5': -0.09024563219797166, 'macd_12_26_9': -0.13245958008988623, 'macds_12_26_9': -0.09685027412323396}, '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': 14.289999961853027, '2018-01-04': 14.289999961853027, '2018-01-05': 14.260000228881836, '2018-01-08': 14.220000267028809, '2018-01-09': 14.149999618530272, '2018-01-10': 14.119999885559082, '2018-01-11': 14.149999618530272, '2018-01-12': 14.050000190734863, '2018-01-16': 14.020000457763672}, '1_month_later': {'2018-02-02': 13.970000267028809}, '3_months_later': {'2018-04-02': 13.470000267028809}, '6_months_later': {'2018-07-02': 12.800000190734863}, '12_months_later': {'2019-01-02': 12.029999732971191}}
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.
NAVI
{'date': '2018-01-02', 'ticker': 'NAVI', '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': 13.34000015258789, 'high': 13.770000457763672, 'open': 13.449999809265137, 'close': 13.630000114440918, 'ema_50': 12.975033579146551, 'rsi_14': 67.33066684600297, 'target': 13.779999732971191, 'volume': 3568200.0, 'ema_200': 13.772611747528531, 'adj_close': 11.924062728881836, 'rsi_lag_1': 62.727256175906085, 'rsi_lag_2': 64.6788984805527, 'rsi_lag_3': 56.818180832981845, 'rsi_lag_4': 57.60367792733799, 'rsi_lag_5': 51.818177877383675, 'macd_lag_1': 0.1870033887244027, 'macd_lag_2': 0.18845488615666817, 'macd_lag_3': 0.18247543420584655, 'macd_lag_4': 0.18848018459121896, 'macd_lag_5': 0.16794835421631227, 'macd_12_26_9': 0.20846446109048777, 'macds_12_26_9': 0.17398323274843455}, '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': 13.779999732971191, '2018-01-04': 13.9399995803833, '2018-01-05': 14.010000228881836, '2018-01-08': 13.6899995803833, '2018-01-09': 13.520000457763672, '2018-01-10': 13.68000030517578, '2018-01-11': 13.970000267028809, '2018-01-12': 13.880000114440918, '2018-01-16': 13.75}, '1_month_later': {'2018-02-02': 14.210000038146973}, '3_months_later': {'2018-04-02': 12.6899995803833}, '6_months_later': {'2018-07-02': 13.229999542236328}, '12_months_later': {'2019-01-02': 9.289999961853027}}
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.
NAVB
{'date': '2018-01-02', 'ticker': 'NAVB', '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': 7.599999904632568, 'high': 8.0, 'open': 7.599999904632568, 'close': 7.800000190734863, 'ema_50': 8.304691737954746, 'rsi_14': 37.500003725288295, 'target': 7.400000095367432, 'volume': 18500.0, 'ema_200': 9.520782420741245, 'adj_close': 7.800000190734863, 'rsi_lag_1': 21.428576294254725, 'rsi_lag_2': 25.000004967051566, 'rsi_lag_3': 27.272735154330462, 'rsi_lag_4': 30.00000476836931, 'rsi_lag_5': 20.000019073477233, 'macd_lag_1': -0.2647184652434724, 'macd_lag_2': -0.21333728173074817, 'macd_lag_3': -0.1853804022049239, 'macd_lag_4': -0.16736448107212532, 'macd_lag_5': -0.16229883895402786, 'macd_12_26_9': -0.254094365311488, 'macds_12_26_9': -0.17090004798099118}, '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': 7.400000095367432, '2018-01-04': 7.599999904632568, '2018-01-05': 7.800000190734863, '2018-01-08': 7.800000190734863, '2018-01-09': 7.800000190734863, '2018-01-10': 7.800000190734863, '2018-01-11': 7.800000190734863, '2018-01-12': 8.0, '2018-01-16': 7.800000190734863}, '1_month_later': {'2018-02-02': 7.199999809265137}, '3_months_later': {'2018-04-02': 6.599999904632568}, '6_months_later': {'2018-07-02': 4.400000095367432}, '12_months_later': {'2019-01-02': 2.200000047683716}}
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.
NAV
{'date': '2018-01-02', 'ticker': 'NAV', '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': 42.83000183105469, 'high': 43.9900016784668, 'open': 42.880001068115234, 'close': 43.630001068115234, 'ema_50': 41.22944097765211, 'rsi_14': 61.75694324237772, 'target': 44.13999938964844, 'volume': 383600.0, 'ema_200': 35.0611272256125, 'adj_close': 43.630001068115234, 'rsi_lag_1': 60.23351930863822, 'rsi_lag_2': 59.4979659684353, 'rsi_lag_3': 60.29510567302685, 'rsi_lag_4': 60.538727925161005, 'rsi_lag_5': 65.25199898510826, 'macd_lag_1': 0.9038297674298121, 'macd_lag_2': 0.9777610613789918, 'macd_lag_3': 1.0059751956615912, 'macd_lag_4': 1.022263492799219, 'macd_lag_5': 0.9721836850715633, 'macd_12_26_9': 0.8954353944789801, 'macds_12_26_9': 0.7899608343467095}, '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': 44.13999938964844, '2018-01-04': 44.470001220703125, '2018-01-05': 43.70000076293945, '2018-01-08': 43.88999938964844, '2018-01-09': 43.86000061035156, '2018-01-10': 43.93000030517578, '2018-01-11': 46.02999877929688, '2018-01-12': 45.400001525878906, '2018-01-16': 44.119998931884766}, '1_month_later': {'2018-02-02': 44.709999084472656}, '3_months_later': {'2018-04-02': 33.619998931884766}, '6_months_later': {'2018-07-02': 41.04999923706055}, '12_months_later': {'2019-01-02': 27.030000686645508}}
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.
NATR
{'date': '2018-01-02', 'ticker': 'NATR', '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': 11.579999923706056, 'high': 11.699999809265137, 'open': 11.600000381469728, 'close': 11.600000381469728, 'ema_50': 11.70962208075217, 'rsi_14': 38.23531061719539, 'target': 11.649999618530272, 'volume': 17600.0, 'ema_200': 11.540759492299788, 'adj_close': 11.600000381469728, 'rsi_lag_1': 33.33335099396702, 'rsi_lag_2': 36.111105224230094, 'rsi_lag_3': 46.428556831511514, 'rsi_lag_4': 46.428556831511514, 'rsi_lag_5': 38.235297417560425, 'macd_lag_1': 0.0007340196617278139, 'macd_lag_2': 0.04093628648720404, 'macd_lag_3': 0.08656263255708296, 'macd_lag_4': 0.10281211481690278, 'macd_lag_5': 0.12205691414028763, 'macd_12_26_9': -0.02678322852937498, 'macds_12_26_9': 0.08381796409627278}, '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': 11.649999618530272, '2018-01-04': 11.550000190734863, '2018-01-05': 11.350000381469728, '2018-01-08': 11.649999618530272, '2018-01-09': 11.600000381469728, '2018-01-10': 11.75, '2018-01-11': 11.699999809265137, '2018-01-12': 11.949999809265137, '2018-01-16': 12.050000190734863}, '1_month_later': {'2018-02-02': 11.25}, '3_months_later': {'2018-04-02': 10.25}, '6_months_later': {'2018-07-02': 9.449999809265137}, '12_months_later': {'2019-01-02': 8.289999961853027}}
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.
NATI
{'date': '2018-01-02', 'ticker': 'NATI', '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': 41.52000045776367, 'high': 42.34999847412109, 'open': 41.880001068115234, 'close': 42.29999923706055, 'ema_50': 42.83998754724465, 'rsi_14': 46.464616300497745, 'target': 43.2599983215332, 'volume': 485800.0, 'ema_200': 39.958972618248865, 'adj_close': 39.98833847045898, 'rsi_lag_1': 31.880145810747464, 'rsi_lag_2': 38.19872906656051, 'rsi_lag_3': 40.94955321668142, 'rsi_lag_4': 39.14375907010167, 'rsi_lag_5': 46.2365135640287, 'macd_lag_1': -0.48627581016343413, 'macd_lag_2': -0.4781674876403059, 'macd_lag_3': -0.5127902579921084, 'macd_lag_4': -0.5281410107058662, 'macd_lag_5': -0.5237612086410053, 'macd_12_26_9': -0.4336397324504446, 'macds_12_26_9': -0.4947908107364688}, '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': 43.2599983215332, '2018-01-04': 43.66999816894531, '2018-01-05': 43.43000030517578, '2018-01-08': 43.93999862670898, '2018-01-09': 43.790000915527344, '2018-01-10': 43.52999877929688, '2018-01-11': 43.97999954223633, '2018-01-12': 44.310001373291016, '2018-01-16': 44.68999862670898}, '1_month_later': {'2018-02-02': 50.119998931884766}, '3_months_later': {'2018-04-02': 48.08000183105469}, '6_months_later': {'2018-07-02': 42.7400016784668}, '12_months_later': {'2019-01-02': 45.36000061035156}}
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.
NAT
{'date': '2018-01-02', 'ticker': 'NAT', '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/18/01/10972071/nordic-american-tankers-ceo-sees-higher-earnings-and-dividend-in-2018', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Nordic American Tankers CEO Sees Higher Earnings and Dividend 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': 2.4800000190734863, 'high': 2.609999895095825, 'open': 2.5, 'close': 2.569999933242798, 'ema_50': 3.6280178032801857, 'rsi_14': 18.85713001173015, 'target': 2.619999885559082, 'volume': 2876600.0, 'ema_200': 5.552493688975156, 'adj_close': 2.569999933242798, 'rsi_lag_1': 13.33332370025714, 'rsi_lag_2': 19.393937029457348, 'rsi_lag_3': 14.77272681091435, 'rsi_lag_4': 13.829787638782065, 'rsi_lag_5': 14.130433092495963, 'macd_lag_1': -0.4328062062233968, 'macd_lag_2': -0.442136583121179, 'macd_lag_3': -0.45779626780608274, 'macd_lag_4': -0.46501578000735444, 'macd_lag_5': -0.4674666369623255, 'macd_12_26_9': -0.4117888970083925, 'macds_12_26_9': -0.42418890052780744}, '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': 2.619999885559082, '2018-01-04': 2.559999942779541, '2018-01-05': 2.5799999237060547, '2018-01-08': 2.569999933242798, '2018-01-09': 2.5199999809265137, '2018-01-10': 2.630000114440918, '2018-01-11': 2.640000104904175, '2018-01-12': 2.630000114440918, '2018-01-16': 2.630000114440918}, '1_month_later': {'2018-02-02': 2.0999999046325684}, '3_months_later': {'2018-04-02': 1.870000004768372}, '6_months_later': {'2018-07-02': 2.819999933242798}, '12_months_later': {'2019-01-02': 2.109999895095825}}
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.
NANR
{'date': '2018-01-02', 'ticker': 'NANR', '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': 35.58000183105469, 'high': 36.130001068115234, 'open': 35.58000183105469, 'close': 36.130001068115234, 'ema_50': 34.16638948917744, 'rsi_14': 83.05554937433706, 'target': 36.2760009765625, 'volume': 53300.0, 'ema_200': 33.31387867355451, 'adj_close': 34.299461364746094, 'rsi_lag_1': 80.06534847742535, 'rsi_lag_2': 82.01892668556768, 'rsi_lag_3': 82.01892668556768, 'rsi_lag_4': 74.4985692143905, 'rsi_lag_5': 64.73991115932778, 'macd_lag_1': 0.41444163192873873, 'macd_lag_2': 0.3806302216896782, 'macd_lag_3': 0.32786530708808215, 'macd_lag_4': 0.27204003244820285, 'macd_lag_5': 0.19682973598132492, 'macd_12_26_9': 0.4896565231823544, 'macds_12_26_9': 0.29106225826004156}, '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': 36.2760009765625, '2018-01-04': 36.49399948120117, '2018-01-05': 36.448001861572266, '2018-01-08': 36.4900016784668, '2018-01-09': 36.290000915527344, '2018-01-10': 36.32400131225586, '2018-01-11': 36.95700073242188, '2018-01-12': 37.290000915527344, '2018-01-16': 37.13999938964844}, '1_month_later': {'2018-02-02': 35.150001525878906}, '3_months_later': {'2018-04-02': 33.11000061035156}, '6_months_later': {'2018-07-02': 35.9379997253418}, '12_months_later': {'2019-01-02': 29.121999740600582}}
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.
NAIL
{'date': '2018-01-02', 'ticker': 'NAIL', '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': 91.37999725341795, 'high': 94.0, 'open': 94.0, 'close': 94.0, 'ema_50': 80.93082918517152, 'rsi_14': 63.65470060533539, 'target': 100.9499969482422, 'volume': 70500.0, 'ema_200': 58.6540680838641, 'adj_close': 93.38297271728516, 'rsi_lag_1': 57.212525731008625, 'rsi_lag_2': 66.21889046072096, 'rsi_lag_3': 65.93626079286156, 'rsi_lag_4': 58.91359951759295, 'rsi_lag_5': 46.737426561400234, 'macd_lag_1': 3.488453443798832, 'macd_lag_2': 3.5698079216634397, 'macd_lag_3': 3.4201217750188135, 'macd_lag_4': 3.3829569583920716, 'macd_lag_5': 3.3260235199943224, 'macd_12_26_9': 3.520572017482081, 'macds_12_26_9': 3.533265990145824}, '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': 100.9499969482422, '2018-01-04': 98.98999786376952, '2018-01-05': 102.91000366210938, '2018-01-08': 103.9499969482422, '2018-01-09': 103.55999755859376, '2018-01-10': 98.94000244140624, '2018-01-11': 104.9499969482422, '2018-01-12': 105.2699966430664, '2018-01-16': 100.37000274658205}, '1_month_later': {'2018-02-02': 77.4000015258789}, '3_months_later': {'2018-04-02': 58.2400016784668}, '6_months_later': {'2018-07-02': 54.7509994506836}, '12_months_later': {'2019-01-02': 25.049999237060547}}
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.
NAII
{'date': '2018-01-02', 'ticker': 'NAII', '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': 10.149999618530272, 'high': 10.449999809265137, 'open': 10.399999618530272, 'close': 10.300000190734863, 'ema_50': 10.364669091128198, 'rsi_14': 50.0, 'target': 10.399999618530272, 'volume': 10000.0, 'ema_200': 10.389999437005837, 'adj_close': 10.300000190734863, 'rsi_lag_1': 50.0, 'rsi_lag_2': 50.0, 'rsi_lag_3': 60.81080384459733, 'rsi_lag_4': 46.835430813339286, 'rsi_lag_5': 53.62313031603882, 'macd_lag_1': -0.005695742557639605, 'macd_lag_2': -0.0036115763963486813, 'macd_lag_3': -0.0008988904756250804, 'macd_lag_4': -0.005568888816325668, 'macd_lag_5': -0.003303056083787226, 'macd_12_26_9': -0.007263727526655828, 'macds_12_26_9': -0.011211113380641279}, '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': 10.399999618530272, '2018-01-04': 10.329999923706056, '2018-01-05': 10.380000114440918, '2018-01-08': 10.300000190734863, '2018-01-09': 10.300000190734863, '2018-01-10': 10.449999809265137, '2018-01-11': 10.399999618530272, '2018-01-12': 10.359999656677246, '2018-01-16': 10.399999618530272}, '1_month_later': {'2018-02-02': 11.149999618530272}, '3_months_later': {'2018-04-02': 11.199999809265137}, '6_months_later': {'2018-07-02': 10.050000190734863}, '12_months_later': {'2019-01-02': 9.84000015258789}}
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.