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stock_2018

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PWV
{'date': '2018-01-02', 'ticker': 'PWV', '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': 38.810001373291016, 'high': 38.95000076293945, 'open': 38.88999938964844, 'close': 38.93000030517578, 'ema_50': 38.5032457551647, 'rsi_14': 43.47815991295793, 'target': 38.880001068115234, 'volume': 103400.0, 'ema_200': 36.80149142934135, 'adj_close': 36.54417419433594, 'rsi_lag_1': 46.280970891539134, 'rsi_lag_2': 58.39996337890611, 'rsi_lag_3': 52.71316454049198, 'rsi_lag_4': 48.90515623520763, 'rsi_lag_5': 42.405139695017844, 'macd_lag_1': 0.12872975741441905, 'macd_lag_2': 0.15139007564262386, 'macd_lag_3': 0.1648747603692584, 'macd_lag_4': 0.18477877467931592, 'macd_lag_5': 0.20851385441402925, 'macd_12_26_9': 0.11908150542114271, 'macds_12_26_9': 0.17505676865604997}, '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': 38.880001068115234, '2018-01-04': 39.0099983215332, '2018-01-05': 39.18999862670898, '2018-01-08': 39.2599983215332, '2018-01-09': 39.13999938964844, '2018-01-10': 39.0099983215332, '2018-01-11': 39.20000076293945, '2018-01-12': 39.290000915527344, '2018-01-16': 39.220001220703125}, '1_month_later': {'2018-02-02': 38.790000915527344}, '3_months_later': {'2018-04-02': 35.58000183105469}, '6_months_later': {'2018-07-02': 35.66999816894531}, '12_months_later': {'2019-01-02': 32.79999923706055}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PWS
{'date': '2018-01-02', 'ticker': 'PWS', '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': 25.299999237060547, 'high': 25.299999237060547, 'open': 25.299999237060547, 'close': 25.299999237060547, 'ema_50': 285.2236167912868, 'rsi_14': 0.16313028256756468, 'target': 25.68000030517578, 'volume': 100.0, 'ema_200': 422.2550929152306, 'adj_close': 24.583559036254883, 'rsi_lag_1': 0.14763810906116248, 'rsi_lag_2': 0.1476642963370125, 'rsi_lag_3': 0.1410223865251652, 'rsi_lag_4': 0.12994986902273808, 'rsi_lag_5': 0.12994986902273808, 'macd_lag_1': -115.36471397791968, 'macd_lag_2': -119.35122148919662, 'macd_lag_3': -122.71158239234275, 'macd_lag_4': -125.21267468912313, 'macd_lag_5': -126.57861165410485, 'macd_12_26_9': -110.92110026576036, 'macds_12_26_9': -111.02323952750461}, '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': 25.68000030517578, '2018-01-04': 25.86000061035156, '2018-01-05': 26.01499938964844, '2018-01-08': 26.100000381469727, '2018-01-09': 26.1299991607666, '2018-01-10': 26.06999969482422, '2018-01-11': 26.309999465942383, '2018-01-12': 26.549999237060547, '2018-01-16': 26.36000061035156}, '1_month_later': {'2018-02-02': 26.100000381469727}, '3_months_later': {'2018-04-02': 25.040000915527344}, '6_months_later': {'2018-07-02': 26.3700008392334}, '12_months_later': {'2019-01-02': 24.36599922180176}}
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.
PWR
{'date': '2018-01-02', 'ticker': 'PWR', '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': 39.02999877929688, 'high': 39.59000015258789, 'open': 39.290000915527344, 'close': 39.2400016784668, 'ema_50': 37.8404410726856, 'rsi_14': 50.63988523839046, 'target': 39.54999923706055, 'volume': 885700.0, 'ema_200': 35.59817207964446, 'adj_close': 38.90376663208008, 'rsi_lag_1': 47.396763606877144, 'rsi_lag_2': 56.98412784913674, 'rsi_lag_3': 59.42945268542816, 'rsi_lag_4': 58.41122161707365, 'rsi_lag_5': 54.54545454545453, 'macd_lag_1': 0.5371256054895994, 'macd_lag_2': 0.5592903502945248, 'macd_lag_3': 0.557045367915137, 'macd_lag_4': 0.5308049817336382, 'macd_lag_5': 0.4875554970280973, 'macd_12_26_9': 0.5240094307429075, 'macds_12_26_9': 0.5023355794621399}, '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': 39.54999923706055, '2018-01-04': 39.86000061035156, '2018-01-05': 39.5099983215332, '2018-01-08': 39.09999847412109, '2018-01-09': 38.63999938964844, '2018-01-10': 38.13999938964844, '2018-01-11': 39.06999969482422, '2018-01-12': 39.43999862670898, '2018-01-16': 38.68999862670898}, '1_month_later': {'2018-02-02': 36.09000015258789}, '3_months_later': {'2018-04-02': 33.529998779296875}, '6_months_later': {'2018-07-02': 33.560001373291016}, '12_months_later': {'2019-01-02': 29.920000076293945}}
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.
PUK-P
{'date': '2018-01-02', 'ticker': 'PUK-P', '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': 26.40999984741211, 'open': 26.40999984741211, 'close': 26.14999961853028, 'ema_50': 26.47658865668472, 'rsi_14': 25.263212843020128, 'target': 26.18000030517578, 'volume': 6000.0, 'ema_200': 26.46708244476987, 'adj_close': 22.210357666015625, 'rsi_lag_1': 24.00012207007967, 'rsi_lag_2': 34.23425281075525, 'rsi_lag_3': 27.94120328231645, 'rsi_lag_4': 37.83789356747289, 'rsi_lag_5': 31.446537862665863, 'macd_lag_1': -0.08497489888709353, 'macd_lag_2': -0.07315891762663185, 'macd_lag_3': -0.060067720271661074, 'macd_lag_4': -0.04248487971645787, 'macd_lag_5': -0.02553405025611255, 'macd_12_26_9': -0.09645501537098156, 'macds_12_26_9': -0.04463718997772065}, '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': 26.18000030517578, '2018-01-04': 26.11000061035156, '2018-01-05': 26.100000381469727, '2018-01-08': 26.209999084472656, '2018-01-09': 26.170000076293945, '2018-01-10': 26.18000030517578, '2018-01-11': 26.190000534057617, '2018-01-12': 26.170000076293945, '2018-01-16': 26.100000381469727}, '1_month_later': {'2018-02-02': 25.950000762939453}, '3_months_later': {'2018-04-02': 25.81999969482422}, '6_months_later': {'2018-07-02': 26.18000030517578}, '12_months_later': {'2019-01-02': 25.540000915527344}}
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.
PWC
{'date': '2018-01-02', 'ticker': 'PWC', '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': 95.16999816894533, 'high': 95.41999816894533, 'open': 95.41999816894533, 'close': 95.23999786376952, 'ema_50': 93.72596221855122, 'rsi_14': 72.15499007065941, 'target': 96.1500015258789, 'volume': 2300.0, 'ema_200': 88.68017018119002, 'adj_close': 92.15565490722656, 'rsi_lag_1': 70.7839654953695, 'rsi_lag_2': 64.74509923333538, 'rsi_lag_3': 54.07559647499591, 'rsi_lag_4': 44.46334828455249, 'rsi_lag_5': 53.11571793385745, 'macd_lag_1': 0.33241901628851167, 'macd_lag_2': 0.3123339701950272, 'macd_lag_3': 0.28826395048962183, 'macd_lag_4': 0.2737122480614147, 'macd_lag_5': 0.26235777731703536, 'macd_12_26_9': 0.34197384759974625, 'macds_12_26_9': 0.30693610063581894}, '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': 96.1500015258789, '2018-01-04': 96.56999969482422, '2018-01-05': 97.3000030517578, '2018-01-08': 98.19000244140624, '2018-01-09': 98.62000274658205, '2018-01-10': 98.1999969482422, '2018-01-11': 99.1999969482422, '2018-01-12': 99.7300033569336, '2018-01-16': 99.48999786376952}, '1_month_later': {'2018-02-02': 98.23999786376952}, '3_months_later': {'2018-04-02': 93.72000122070312}, '6_months_later': {'2018-07-02': 100.87000274658205}, '12_months_later': {'2019-01-02': 87.86000061035156}}
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.
PW
{'date': '2018-01-02', 'ticker': 'PW', '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': 6.199999809265137, 'high': 6.210000038146973, 'open': 6.210000038146973, 'close': 6.199999809265137, 'ema_50': 6.220512691087088, 'rsi_14': 53.65851389228103, 'target': 6.139999866485596, 'volume': 3400.0, 'ema_200': 6.634751915234883, 'adj_close': 6.199999809265137, 'rsi_lag_1': 48.64861381749198, 'rsi_lag_2': 51.28208263234085, 'rsi_lag_3': 50.0, 'rsi_lag_4': 45.238089831766956, 'rsi_lag_5': 50.0, 'macd_lag_1': -0.011427596499785864, 'macd_lag_2': -0.013732663883552654, 'macd_lag_3': -0.015456863661435172, 'macd_lag_4': -0.016414537329433543, 'macd_lag_5': -0.0173981202681599, 'macd_12_26_9': -0.0063005228575621075, 'macds_12_26_9': -0.013309533680713912}, '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': 6.139999866485596, '2018-01-04': 6.0, '2018-01-05': 6.050000190734863, '2018-01-08': 6.110000133514404, '2018-01-09': 6.110000133514404, '2018-01-10': 6.090000152587891, '2018-01-11': 6.090000152587891, '2018-01-12': 6.179999828338623, '2018-01-16': 6.150000095367432}, '1_month_later': {'2018-02-02': 6.110000133514404}, '3_months_later': {'2018-04-02': 6.03000020980835}, '6_months_later': {'2018-07-02': 6.110000133514404}, '12_months_later': {'2019-01-02': 5.340000152587891}}
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.
PVL
{'date': '2018-01-02', 'ticker': 'PVL', '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': 3.0, 'high': 3.200000047683716, 'open': 3.049999952316284, 'close': 3.180000066757202, 'ema_50': 3.168706198796161, 'rsi_14': 55.88236840951922, 'target': 3.180000066757202, 'volume': 81600.0, 'ema_200': 3.3747115686615485, 'adj_close': 2.271124839782715, 'rsi_lag_1': 57.142871739921986, 'rsi_lag_2': 60.00001271566567, 'rsi_lag_3': 56.25001303852462, 'rsi_lag_4': 43.74998696147538, 'rsi_lag_5': 40.0000063578308, 'macd_lag_1': -0.016264726686172626, 'macd_lag_2': -0.02606723492988028, 'macd_lag_3': -0.038199640216506126, 'macd_lag_4': -0.05312937001555973, 'macd_lag_5': -0.06123051064819007, 'macd_12_26_9': -0.006006185738371972, 'macds_12_26_9': -0.03253441557801881}, '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': 3.180000066757202, '2018-01-04': 3.25, '2018-01-05': 3.299999952316284, '2018-01-08': 3.359999895095825, '2018-01-09': 3.430000066757202, '2018-01-10': 3.400000095367432, '2018-01-11': 3.400000095367432, '2018-01-12': 3.5, '2018-01-16': 3.549999952316284}, '1_month_later': {'2018-02-02': 3.150000095367432}, '3_months_later': {'2018-04-02': 3.450000047683716}, '6_months_later': {'2018-07-02': 3.630000114440918}, '12_months_later': {'2019-01-02': 1.940000057220459}}
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.
PVI
{'date': '2018-01-02', 'ticker': 'PVI', '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': 24.920000076293945, 'high': 24.940000534057614, 'open': 24.920000076293945, 'close': 24.93000030517578, 'ema_50': 24.92309128761086, 'rsi_14': 52.94117647058848, 'target': 24.93000030517578, 'volume': 6500.0, 'ema_200': 24.91982502921505, 'adj_close': 24.2822380065918, 'rsi_lag_1': 46.66666666666635, 'rsi_lag_2': 50.0, 'rsi_lag_3': 53.846153846154266, 'rsi_lag_4': 42.85714285714322, 'rsi_lag_5': 53.846153846153, 'macd_lag_1': -0.00026491635084369136, 'macd_lag_2': 0.0010397096781993298, 'macd_lag_3': 0.0016715587283435696, 'macd_lag_4': 0.0014355091756002025, 'macd_lag_5': 0.002131549099150476, 'macd_12_26_9': 0.00031143785086484854, 'macds_12_26_9': 0.0008199519315903952}, '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': 24.93000030517578, '2018-01-04': 24.920000076293945, '2018-01-05': 24.940000534057614, '2018-01-08': 24.93000030517578, '2018-01-09': 24.93000030517578, '2018-01-10': 24.920000076293945, '2018-01-11': 24.920000076293945, '2018-01-12': 24.93000030517578, '2018-01-16': 24.940000534057614}, '1_month_later': {'2018-02-02': 24.93000030517578}, '3_months_later': {'2018-04-02': 24.8700008392334}, '6_months_later': {'2018-07-02': 24.95000076293945}, '12_months_later': {'2019-01-02': 24.90999984741211}}
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.
PVH
{'date': '2018-01-02', 'ticker': 'PVH', '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/pvh-corp-pvh-on-growth-track%3A-4-factors-aiding-performance-2018-01-02', 'news_author': None, 'news_article': 'PVH CorporationPVH has long been an investors\' favorite driven by solid surprise history, brand strength, innovations, omni-channel growth and healthy balance sheet. The company\'s diversified brand portfolio allows it to stay ahead of peers to generate above-average industry growth and sustain its position in the current challenging environment.\nNotably, the company has gained 19.5% in the last six months, outperforming the industry \'s 12.5% growth. Further, the company\'s Zacks Rank #2 (Buy) and long-term earnings growth rate of 13%, highlight its growth prospects. That said, let\'s analyze the factors aiding the stock\'s performance.\nRobust Surprise Trend Builds Optimism\nPVH Corp has been delivering robust top and bottom-line performances for quite a while now as evident from its robust surprise history. The company delivered better-than-expected results for third-quarter fiscal 2017, wherein sales marked its fifth consecutive beat and earnings topped estimates for the 14th consecutive quarter. Results continued to gain from solid momentum at the company\'s premium Calvin Klein and Tommy Hilfiger brands, particularly in the international regions.\nPVH Corp. Price, Consensus and EPS Surprise\nPVH Corp. Price, Consensus and EPS Surprise | PVH Corp. Quote\nStrong Fourth Quarter and FY17 View Drive Estimates\nDriven by the solid third-quarter results, improvement in foreign currency rates and continued strength across its brands, PVH Corp anticipates delivering robust revenues and earnings in fourth-quarter 2017. This favorable view further backed by the strong start to the holiday season and the additional $20 million increase in marketing expenditures to take advantage of the continued momentum across its businesses. Moreover, the company raised guidance for fiscal 2017 on the aforementioned favorable trends.\nConsequently, the company\'s estimates witnessed an uptrend in the last 30 days. The Zacks Consensus Estimate for fiscal 2017 moved up by 4 cents to $7.79 per share.\nGrowth Strategies Bode Well\nPVH Corp has been undertaking significant steps to keep pace with the evolving retail trends and integrate consumers\' changing preferences into operating decisions. In fact, these constant endeavors have helped the company to stay afloat even in a challenging retail landscape. Some recent evidences of PVH Corp\'s growth efforts include its latest agreement with Li & Fung, which is likely to enhance the former\'s supply-chain network.\nMoreover, the company inked a deal to acquire True&Co, which is a direct-to-consumer intimate apparel online retailer. This deal underscores its focus on making innovations and developing omni-channel operations to enrich consumer experience. We believe that PVH Corp is moving in the right direction and these strategies will help it to exploit opportunities in the lifestyle apparel market.\nFurther, the company\'s approach to brand management facilitates each of its brands to develop further through efficient marketing strategies, financial control and operating leverage. Based on the strength of many of its brands, particularly Tommy Hilfiger and Calvin Klein, along with opportunities with regard to distribution, we believe that the company is poised for long-term growth.\nStrong Balance Sheet Supports Growth & Enhances Shareholder Value\nPVH Corp\'s healthy balance sheet provides it with the financial flexibility to drive future growth. The company\'s ability to generate a strong operating cash flow has helped in the execution of its long-term strategies such as global expansion, product enhancement and brand offerings, and building of operational infrastructure. Moreover, the company\'s financial strength is evident from its ongoing share repurchase program. In fiscal 2017, the company plans to buyback shares worth $200-$250 million.\nLooking for More? Check these 3 Trending Retail Stocks\nSome top-ranked stocks in the same industry are G-III Apparel Group, LTD. GIII , Michael Kors Holdings Limited KORS and Tailored Brands Inc. TLRD , each sporting a Zacks Rank #1 (Strong Buy). You can see the complete list of today\'s Zacks #1 Rank stocks here .\nG-III Apparel has gained 26.2% in the last three months. Moreover, it has a long-term earnings growth rate of 15%.\nMichael Kors has a long-term EPS growth rate of 7.5%. Further, the stock has returned 32.3% in three months.\nTailored Brands has grown nearly 52.1% in the last three months. Moreover, it has a long-term earnings growth rate of 16.5%.\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\nPVH Corp. (PVH): Free Stock Analysis Report\nG-III Apparel Group, LTD. (GIII): Free Stock Analysis Report\nMichael Kors Holdings Limited (KORS): Free Stock Analysis Report\nTailored Brands, Inc. (TLRD): 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': "PVH CorporationPVH has long been an investors' favorite driven by solid surprise history, brand strength, innovations, omni-channel growth and healthy balance sheet. Growth Strategies Bode Well PVH Corp has been undertaking significant steps to keep pace with the evolving retail trends and integrate consumers' changing preferences into operating decisions. Robust Surprise Trend Builds Optimism PVH Corp has been delivering robust top and bottom-line performances for quite a while now as evident from its robust surprise history.", 'news_luhn_summary': "PVH Corp. Price, Consensus and EPS Surprise PVH Corp. Price, Consensus and EPS Surprise | PVH Corp. Quote Strong Fourth Quarter and FY17 View Drive Estimates Driven by the solid third-quarter results, improvement in foreign currency rates and continued strength across its brands, PVH Corp anticipates delivering robust revenues and earnings in fourth-quarter 2017. Click to get this free report PVH Corp. (PVH): Free Stock Analysis Report G-III Apparel Group, LTD. (GIII): Free Stock Analysis Report Michael Kors Holdings Limited (KORS): Free Stock Analysis Report Tailored Brands, Inc. (TLRD): Free Stock Analysis Report To read this article on Zacks.com click here. PVH CorporationPVH has long been an investors' favorite driven by solid surprise history, brand strength, innovations, omni-channel growth and healthy balance sheet.", 'news_article_title': 'PVH Corp (PVH) on Growth Track: 4 Factors Aiding Performance', 'news_lexrank_summary': "PVH Corp. Price, Consensus and EPS Surprise PVH Corp. Price, Consensus and EPS Surprise | PVH Corp. Quote Strong Fourth Quarter and FY17 View Drive Estimates Driven by the solid third-quarter results, improvement in foreign currency rates and continued strength across its brands, PVH Corp anticipates delivering robust revenues and earnings in fourth-quarter 2017. PVH CorporationPVH has long been an investors' favorite driven by solid surprise history, brand strength, innovations, omni-channel growth and healthy balance sheet. Robust Surprise Trend Builds Optimism PVH Corp has been delivering robust top and bottom-line performances for quite a while now as evident from its robust surprise history.", 'news_textrank_summary': "PVH Corp. Price, Consensus and EPS Surprise PVH Corp. Price, Consensus and EPS Surprise | PVH Corp. Quote Strong Fourth Quarter and FY17 View Drive Estimates Driven by the solid third-quarter results, improvement in foreign currency rates and continued strength across its brands, PVH Corp anticipates delivering robust revenues and earnings in fourth-quarter 2017. Click to get this free report PVH Corp. (PVH): Free Stock Analysis Report G-III Apparel Group, LTD. (GIII): Free Stock Analysis Report Michael Kors Holdings Limited (KORS): Free Stock Analysis Report Tailored Brands, Inc. (TLRD): Free Stock Analysis Report To read this article on Zacks.com click here. PVH CorporationPVH has long been an investors' favorite driven by solid surprise history, brand strength, innovations, omni-channel growth and healthy balance sheet."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 137.27000427246094, 'high': 139.3800048828125, 'open': 137.58999633789062, 'close': 138.97000122070312, 'ema_50': 132.6240690272056, 'rsi_14': 68.1481723352364, 'target': 139.2100067138672, 'volume': 638300.0, 'ema_200': 120.61688606238256, 'adj_close': 138.43980407714844, 'rsi_lag_1': 58.05883128229585, 'rsi_lag_2': 62.619088274580896, 'rsi_lag_3': 63.23186601787937, 'rsi_lag_4': 61.248070608952844, 'rsi_lag_5': 55.18056646800683, 'macd_lag_1': 1.3096083589323655, 'macd_lag_2': 1.2766332142419117, 'macd_lag_3': 1.246521493536136, 'macd_lag_4': 1.2143936894151466, 'macd_lag_5': 1.170995126133107, 'macd_12_26_9': 1.460917696668929, 'macds_12_26_9': 1.3052896250541182}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 139.2100067138672, '2018-01-04': 141.4199981689453, '2018-01-05': 143.08999633789062, '2018-01-08': 142.74000549316406, '2018-01-09': 141.16000366210938, '2018-01-10': 140.94000244140625, '2018-01-11': 142.5800018310547, '2018-01-12': 143.6300048828125, '2018-01-16': 141.39999389648438}, '1_month_later': {'2018-02-02': 151.07000732421875}, '3_months_later': {'2018-04-02': 150.9199981689453}, '6_months_later': {'2018-07-02': 148.52999877929688}, '12_months_later': {'2019-01-02': 93.48999786376952}}
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.
PVG
{'date': '2018-01-02', 'ticker': 'PVG', '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/3320674-pretiums-permit-brucejack-increase-bigger-expected-analyst-says?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Pretium's permit for Brucejack increase bigger than expected, analyst says", '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': 11.539999961853027, 'high': 11.899999618530272, 'open': 11.579999923706056, 'close': 11.75, 'ema_50': 10.795434906588069, 'rsi_14': 81.85327261239007, 'target': 11.399999618530272, 'volume': 1379300.0, 'ema_200': 10.039483529421455, 'adj_close': 11.75, 'rsi_lag_1': 78.76107539051094, 'rsi_lag_2': 77.77777777777796, 'rsi_lag_3': 74.78635038903012, 'rsi_lag_4': 78.8288193470426, 'rsi_lag_5': 72.58883813922205, 'macd_lag_1': 0.18757749806363577, 'macd_lag_2': 0.1747614299703848, 'macd_lag_3': 0.15891600052522037, 'macd_lag_4': 0.12212538470561718, 'macd_lag_5': 0.06015453309482588, 'macd_12_26_9': 0.222603461043267, 'macds_12_26_9': 0.10644437647125733}, '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': 11.399999618530272, '2018-01-04': 11.550000190734863, '2018-01-05': 11.520000457763672, '2018-01-08': 11.109999656677246, '2018-01-09': 10.40999984741211, '2018-01-10': 10.6899995803833, '2018-01-11': 10.40999984741211, '2018-01-12': 11.149999618530272, '2018-01-16': 11.649999618530272}, '1_month_later': {'2018-02-02': 6.590000152587891}, '3_months_later': {'2018-04-02': 6.789999961853027}, '6_months_later': {'2018-07-02': 7.210000038146973}, '12_months_later': {'2019-01-02': 8.470000267028809}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PVBC
{'date': '2018-01-02', 'ticker': 'PVBC', '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': 12.765957832336426, 'high': 13.211281776428224, 'open': 13.11232089996338, 'close': 12.988619804382324, 'ema_50': 12.037459068288268, 'rsi_14': 72.46376325803443, 'target': 12.741217613220217, 'volume': 54200.0, 'ema_200': 10.94152290021433, 'adj_close': 12.988619804382324, 'rsi_lag_1': 66.22516590103504, 'rsi_lag_2': 62.58064820979191, 'rsi_lag_3': 60.273977666213, 'rsi_lag_4': 53.521124848863906, 'rsi_lag_5': 57.037049304559936, 'macd_lag_1': 0.295151469013998, 'macd_lag_2': 0.2686930466363133, 'macd_lag_3': 0.2385712283259469, 'macd_lag_4': 0.2218447490979294, 'macd_lag_5': 0.22749699317248862, 'macd_12_26_9': 0.30462313777978345, 'macds_12_26_9': 0.23240405176289225}, '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': 12.741217613220217, '2018-01-04': 12.84017848968506, '2018-01-05': 12.86491870880127, '2018-01-08': 12.815438270568848, '2018-01-09': 12.988619804382324, '2018-01-10': 12.716477394104006, '2018-01-11': 13.211281776428224, '2018-01-12': 13.062840461730955, '2018-01-16': 12.86491870880127}, '1_month_later': {'2018-02-02': 11.99901008605957}, '3_months_later': {'2018-04-02': 12.84017848968506}, '6_months_later': {'2018-07-02': 13.310242652893065}, '12_months_later': {'2019-01-02': 10.62840175628662}}
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.
PVAC
{'date': '2018-01-02', 'ticker': 'PVAC', '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': 39.0, 'high': 40.22999954223633, 'open': 39.09999847412109, 'close': 40.04999923706055, 'ema_50': 37.4867229103608, 'rsi_14': 83.50127941378538, 'target': 43.29999923706055, 'volume': 182100.0, 'ema_200': 39.57950477676815, 'adj_close': 40.04999923706055, 'rsi_lag_1': 83.37565970564856, 'rsi_lag_2': 84.19785263299332, 'rsi_lag_3': 82.91217104538343, 'rsi_lag_4': 83.414053144378, 'rsi_lag_5': 80.39672852975241, 'macd_lag_1': 0.7808472854604034, 'macd_lag_2': 0.7251048467587182, 'macd_lag_3': 0.6485010768182491, 'macd_lag_4': 0.5504577194221767, 'macd_lag_5': 0.3653849836889478, 'macd_12_26_9': 0.8906072371668827, 'macds_12_26_9': 0.36473609117993266}, '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': 43.29999923706055, '2018-01-04': 44.310001373291016, '2018-01-05': 44.11000061035156, '2018-01-08': 44.58000183105469, '2018-01-09': 45.0099983215332, '2018-01-10': 44.84999847412109, '2018-01-11': 46.59999847412109, '2018-01-12': 47.13999938964844, '2018-01-16': 45.7599983215332}, '1_month_later': {'2018-02-02': 40.790000915527344}, '3_months_later': {'2018-04-02': 33.959999084472656}, '6_months_later': {'2018-07-02': 85.63999938964844}, '12_months_later': {'2019-01-02': 56.08000183105469}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PUTW
{'date': '2018-01-02', 'ticker': 'PUTW', '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': 29.07999992370605, 'high': 29.15999984741211, 'open': 29.15999984741211, 'close': 29.155000686645508, 'ema_50': 29.37016601946447, 'rsi_14': 60.804056223552365, 'target': 29.14999961853028, 'volume': 108300.0, 'ema_200': 29.012244023850485, 'adj_close': 27.10283088684082, 'rsi_lag_1': 45.37025590307825, 'rsi_lag_2': 55.281839123689394, 'rsi_lag_3': 58.22390091791451, 'rsi_lag_4': 57.666925219027576, 'rsi_lag_5': 15.095991411951971, 'macd_lag_1': -0.13496128007916752, 'macd_lag_2': -0.13758073315789687, 'macd_lag_3': -0.14401395912684478, 'macd_lag_4': -0.14911214119920757, 'macd_lag_5': -0.15304312832749645, 'macd_12_26_9': -0.12379253678385282, 'macds_12_26_9': -0.13900722991727435}, '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': 29.14999961853028, '2018-01-04': 29.17300033569336, '2018-01-05': 29.200000762939453, '2018-01-08': 29.25, '2018-01-09': 29.190000534057617, '2018-01-10': 29.21999931335449, '2018-01-11': 29.25, '2018-01-12': 29.239999771118164, '2018-01-16': 29.25}, '1_month_later': {'2018-02-02': 28.90999984741211}, '3_months_later': {'2018-04-02': 27.600000381469727}, '6_months_later': {'2018-07-02': 29.46999931335449}, '12_months_later': {'2019-01-02': 25.559999465942383}}
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.
PUMP
{'date': '2018-01-02', 'ticker': 'PUMP', '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': 19.959999084472656, 'high': 20.57999992370605, 'open': 20.26000022888184, 'close': 20.309999465942383, 'ema_50': 17.923004054860357, 'rsi_14': 65.75964444567464, 'target': 20.0, 'volume': 906300.0, 'ema_200': 15.210251232345012, 'adj_close': 20.309999465942383, 'rsi_lag_1': 64.96520080949546, 'rsi_lag_2': 66.74010383713411, 'rsi_lag_3': 75.1004039136652, 'rsi_lag_4': 71.78503701208841, 'rsi_lag_5': 59.398496779735616, 'macd_lag_1': 0.7367816776730933, 'macd_lag_2': 0.753176960287508, 'macd_lag_3': 0.7753660746485309, 'macd_lag_4': 0.764918639850368, 'macd_lag_5': 0.722130520874078, 'macd_12_26_9': 0.7275057799215041, 'macds_12_26_9': 0.7419961067110827}, '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': 20.0, '2018-01-04': 20.0, '2018-01-05': 19.729999542236328, '2018-01-08': 19.850000381469727, '2018-01-09': 19.68000030517578, '2018-01-10': 20.0, '2018-01-11': 21.549999237060547, '2018-01-12': 21.09000015258789, '2018-01-16': 20.780000686645508}, '1_month_later': {'2018-02-02': 17.649999618530273}, '3_months_later': {'2018-04-02': 15.720000267028809}, '6_months_later': {'2018-07-02': 15.25}, '12_months_later': {'2019-01-02': 12.619999885559082}}
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.
PWB
{'date': '2018-01-02', 'ticker': 'PWB', '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': 41.58000183105469, 'high': 41.79999923706055, 'open': 41.650001525878906, 'close': 41.7599983215332, 'ema_50': 40.75289354622851, 'rsi_14': 67.66473494617162, 'target': 42.22999954223633, 'volume': 43400.0, 'ema_200': 38.028594748436284, 'adj_close': 41.063663482666016, 'rsi_lag_1': 61.971883957522486, 'rsi_lag_2': 72.25803117224461, 'rsi_lag_3': 74.09636477701254, 'rsi_lag_4': 75.70620373064365, 'rsi_lag_5': 75.84266291768822, 'macd_lag_1': 0.23068213324700793, 'macd_lag_2': 0.24065171046207467, 'macd_lag_3': 0.23867645403414883, 'macd_lag_4': 0.24082890361838594, 'macd_lag_5': 0.2533097185159292, 'macd_12_26_9': 0.24178054845704366, 'macds_12_26_9': 0.24323150320349182}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 42.22999954223633, '2018-01-04': 42.33000183105469, '2018-01-05': 42.77999877929688, '2018-01-08': 42.95000076293945, '2018-01-09': 43.18000030517578, '2018-01-10': 43.040000915527344, '2018-01-11': 43.33000183105469, '2018-01-12': 43.650001525878906, '2018-01-16': 43.52000045776367}, '1_month_later': {'2018-02-02': 43.470001220703125}, '3_months_later': {'2018-04-02': 41.86000061035156}, '6_months_later': {'2018-07-02': 45.119998931884766}, '12_months_later': {'2019-01-02': 41.459999084472656}}
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.
PSX
{'date': '2018-01-02', 'ticker': 'PSX', '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': 101.06999969482422, 'high': 101.83000183105467, 'open': 101.66000366210938, 'close': 101.75, 'ema_50': 96.56866062225187, 'rsi_14': 61.2903280558346, 'target': 102.43000030517578, 'volume': 1222300.0, 'ema_200': 88.66822002217556, 'adj_close': 93.2296142578125, 'rsi_lag_1': 59.34579647496603, 'rsi_lag_2': 71.71610554755874, 'rsi_lag_3': 73.25702880751219, 'rsi_lag_4': 67.07194432012216, 'rsi_lag_5': 67.03854159412546, 'macd_lag_1': 1.7581890564923413, 'macd_lag_2': 1.8356204180776388, 'macd_lag_3': 1.8252785802721974, 'macd_lag_4': 1.7753474651224082, 'macd_lag_5': 1.7285574194947912, 'macd_12_26_9': 1.725350243425254, 'macds_12_26_9': 1.7514372934987263}, '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': 102.43000030517578, '2018-01-04': 102.1500015258789, '2018-01-05': 102.16000366210938, '2018-01-08': 102.05999755859376, '2018-01-09': 101.72000122070312, '2018-01-10': 102.08000183105467, '2018-01-11': 102.37000274658205, '2018-01-12': 104.97000122070312, '2018-01-16': 103.5}, '1_month_later': {'2018-02-02': 97.01000213623048}, '3_months_later': {'2018-04-02': 94.9499969482422}, '6_months_later': {'2018-07-02': 110.61000061035156}, '12_months_later': {'2019-01-02': 88.12000274658203}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PSV
{'date': '2018-01-02', 'ticker': 'PSV', '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': 11.699999809265137, 'high': 12.100000381469728, 'open': 12.0, 'close': 12.0, 'ema_50': 12.485866866140102, 'rsi_14': 50.0, 'target': 12.399999618530272, 'volume': 26900.0, 'ema_200': 15.234278837346734, 'adj_close': 11.700783729553224, 'rsi_lag_1': 42.553194367508006, 'rsi_lag_2': 57.894739483861564, 'rsi_lag_3': 50.0, 'rsi_lag_4': 45.00000715255397, 'rsi_lag_5': 44.999985694898825, 'macd_lag_1': -0.20028866238510368, 'macd_lag_2': -0.21750271788465803, 'macd_lag_3': -0.23732864158464473, 'macd_lag_4': -0.25918167668412195, 'macd_lag_5': -0.2629405637886908, 'macd_12_26_9': -0.18372163583066126, 'macds_12_26_9': -0.23812562977550855}, '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': 12.399999618530272, '2018-01-04': 12.699999809265137, '2018-01-05': 12.800000190734863, '2018-01-08': 12.699999809265137, '2018-01-09': 12.5, '2018-01-10': 12.699999809265137, '2018-01-11': 13.300000190734863, '2018-01-12': 13.899999618530272, '2018-01-16': 13.100000381469728}, '1_month_later': {'2018-02-02': 12.0}, '3_months_later': {'2018-04-02': 10.5}, '6_months_later': {'2018-07-02': 11.5}, '12_months_later': {'2019-01-02': 4.329999923706055}}
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.
PSTV
{'date': '2018-01-02', 'ticker': 'PSTV', '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': 145.0, 'high': 160.0, 'open': 150.0, 'close': 145.0, 'ema_50': 165.36839898259336, 'rsi_14': 62.50000000000001, 'target': 140.0, 'volume': 3500.0, 'ema_200': 803.2001829859973, 'adj_close': 145.0, 'rsi_lag_1': 62.50000000000001, 'rsi_lag_2': 45.45454545454546, 'rsi_lag_3': 50.0, 'rsi_lag_4': 36.36363636363636, 'rsi_lag_5': 30.769230769230774, 'macd_lag_1': -11.248534038866495, 'macd_lag_2': -13.95219318918484, 'macd_lag_3': -14.654649876475816, 'macd_lag_4': -15.847172413687503, 'macd_lag_5': -16.6296695806204, 'macd_12_26_9': -9.400954544584408, 'macds_12_26_9': -14.1964543949972}, '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': 140.0, '2018-01-04': 135.0, '2018-01-05': 235.0, '2018-01-08': 170.0, '2018-01-09': 180.0, '2018-01-10': 170.0, '2018-01-11': 190.0, '2018-01-12': 175.0, '2018-01-16': 185.0}, '1_month_later': {'2018-02-02': 195.0}, '3_months_later': {'2018-04-02': 145.0}, '6_months_later': {'2018-07-02': 73.5}, '12_months_later': {'2019-01-02': 16.0}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PSCH
{'date': '2018-01-02', 'ticker': 'PSCH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 98.5, 'high': 99.79000091552734, 'open': 99.51000213623048, 'close': 99.29000091552734, 'ema_50': 95.63748728255185, 'rsi_14': 67.74913411147969, 'target': 99.54000091552734, 'volume': 28500.0, 'ema_200': 88.39969274995948, 'adj_close': 99.28646087646484, 'rsi_lag_1': 61.46677928678094, 'rsi_lag_2': 68.30532597173676, 'rsi_lag_3': 72.03198076973342, 'rsi_lag_4': 69.80090978909442, 'rsi_lag_5': 64.0509090144165, 'macd_lag_1': 1.1665399200611688, 'macd_lag_2': 1.2470085114768068, 'macd_lag_3': 1.2267040100136484, 'macd_lag_4': 1.2379270266723523, 'macd_lag_5': 1.2169365612543288, 'macd_12_26_9': 1.1516256673812677, 'macds_12_26_9': 1.1875647179191506}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 99.54000091552734, '2018-01-04': 99.88999938964844, '2018-01-05': 100.8499984741211, '2018-01-08': 99.7699966430664, '2018-01-09': 102.4000015258789, '2018-01-10': 102.45999908447266, '2018-01-11': 104.4000015258789, '2018-01-12': 105.0, '2018-01-16': 104.4499969482422}, '1_month_later': {'2018-02-02': 108.08000183105467}, '3_months_later': {'2018-04-02': 108.76000213623048}, '6_months_later': {'2018-07-02': 129.9600067138672}, '12_months_later': {'2019-01-02': 107.2699966430664}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PSCF
{'date': '2018-01-02', 'ticker': 'PSCF', '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': 53.9900016784668, 'high': 54.68000030517578, 'open': 54.68000030517578, 'close': 54.27000045776367, 'ema_50': 54.38234693910577, 'rsi_14': 45.7666089661837, 'target': 53.970001220703125, 'volume': 8500.0, 'ema_200': 52.29744445573316, 'adj_close': 48.50337600708008, 'rsi_lag_1': 43.668115360205, 'rsi_lag_2': 45.351483534116426, 'rsi_lag_3': 43.294133275409926, 'rsi_lag_4': 41.62899442295449, 'rsi_lag_5': 35.52125769934348, 'macd_lag_1': 0.0030288175033703624, 'macd_lag_2': 0.027203587771396087, 'macd_lag_3': 0.027118320045204314, 'macd_lag_4': 0.05512400574788501, 'macd_lag_5': 0.07683116848033222, 'macd_12_26_9': -0.034293587842320505, 'macds_12_26_9': 0.06716807433336752}, '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': 53.970001220703125, '2018-01-04': 54.04999923706055, '2018-01-05': 54.220001220703125, '2018-01-08': 54.40999984741211, '2018-01-09': 54.5099983215332, '2018-01-10': 54.43999862670898, '2018-01-11': 55.22999954223633, '2018-01-12': 55.369998931884766, '2018-01-16': 54.93000030517578}, '1_month_later': {'2018-02-02': 54.33000183105469}, '3_months_later': {'2018-04-02': 52.43000030517578}, '6_months_later': {'2018-07-02': 57.40999984741211}, '12_months_later': {'2019-01-02': 48.04999923706055}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PSCE
{'date': '2018-01-02', 'ticker': 'PSCE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.449999809265137, 'high': 15.899999618530272, 'open': 15.479999542236328, 'close': 15.890000343322754, 'ema_50': 14.601426206855995, 'rsi_14': 75.28957258839242, 'target': 16.100000381469727, 'volume': 65800.0, 'ema_200': 14.81633722858074, 'adj_close': 15.725587844848633, 'rsi_lag_1': 71.68140360590124, 'rsi_lag_2': 77.77776516304039, 'rsi_lag_3': 78.46152548254076, 'rsi_lag_4': 64.76191139365434, 'rsi_lag_5': 56.687900604034304, 'macd_lag_1': 0.2591196890230556, 'macd_lag_2': 0.24526371988849682, 'macd_lag_3': 0.2158655456719405, 'macd_lag_4': 0.1792756460326128, 'macd_lag_5': 0.1238568492806067, 'macd_12_26_9': 0.30611095127405363, 'macds_12_26_9': 0.18761207238649522}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.100000381469727, '2018-01-04': 16.399999618530273, '2018-01-05': 16.31999969482422, '2018-01-08': 16.510000228881836, '2018-01-09': 16.420000076293945, '2018-01-10': 16.5, '2018-01-11': 17.010000228881836, '2018-01-12': 17.139999389648438, '2018-01-16': 16.56999969482422}, '1_month_later': {'2018-02-02': 15.460000038146973}, '3_months_later': {'2018-04-02': 13.260000228881836}, '6_months_later': {'2018-07-02': 16.649999618530273}, '12_months_later': {'2019-01-02': 9.09000015258789}}
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.
PSCD
{'date': '2018-01-02', 'ticker': 'PSCD', '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': 61.150001525878906, 'high': 61.45000076293945, 'open': 61.220001220703125, 'close': 61.2599983215332, 'ema_50': 58.52386099673304, 'rsi_14': 59.69943133968697, 'target': 61.720001220703125, 'volume': 5400.0, 'ema_200': 55.05471501066564, 'adj_close': 61.2599983215332, 'rsi_lag_1': 56.648925647001036, 'rsi_lag_2': 59.32883967852138, 'rsi_lag_3': 60.392140240998685, 'rsi_lag_4': 62.284195067040784, 'rsi_lag_5': 55.17690825888515, 'macd_lag_1': 1.0106479947406868, 'macd_lag_2': 1.054878885722644, 'macd_lag_3': 1.0725717584832282, 'macd_lag_4': 1.0876988951180024, 'macd_lag_5': 1.0718398442778536, 'macd_12_26_9': 0.9732514798669527, 'macds_12_26_9': 1.03323589947292}, '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': 61.720001220703125, '2018-01-04': 61.43000030517578, '2018-01-05': 61.52999877929688, '2018-01-08': 61.29999923706055, '2018-01-09': 61.150001525878906, '2018-01-10': 61.130001068115234, '2018-01-11': 62.38999938964844, '2018-01-12': 62.7599983215332, '2018-01-16': 61.900001525878906}, '1_month_later': {'2018-02-02': 59.650001525878906}, '3_months_later': {'2018-04-02': 57.869998931884766}, '6_months_later': {'2018-07-02': 65.6500015258789}, '12_months_later': {'2019-01-02': 55.52000045776367}}
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.
PSCC
{'date': '2018-01-02', 'ticker': 'PSCC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 74.52999877929688, 'high': 75.01000213623047, 'open': 74.80000305175781, 'close': 74.69000244140625, 'ema_50': 71.30595154733959, 'rsi_14': 50.36632494970226, 'target': 74.5199966430664, 'volume': 4800.0, 'ema_200': 69.3204593563075, 'adj_close': 72.26258087158203, 'rsi_lag_1': 50.163222805264, 'rsi_lag_2': 50.3743036084221, 'rsi_lag_3': 50.10074475353167, 'rsi_lag_4': 50.00957936713923, 'rsi_lag_5': 49.50698396286446, 'macd_lag_1': 1.3813861065087991, 'macd_lag_2': 1.3472010288565741, 'macd_lag_3': 1.263609461866963, 'macd_lag_4': 1.1660270187580295, 'macd_lag_5': 1.0163703028460276, 'macd_12_26_9': 1.3844499089388052, 'macds_12_26_9': 0.988604123218701}, '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': 74.5199966430664, '2018-01-04': 73.98999786376953, '2018-01-05': 73.22000122070312, '2018-01-08': 73.62999725341797, '2018-01-09': 73.80000305175781, '2018-01-10': 72.76000213623047, '2018-01-11': 73.69999694824219, '2018-01-12': 73.29000091552734, '2018-01-16': 73.55999755859375}, '1_month_later': {'2018-02-02': 70.77999877929688}, '3_months_later': {'2018-04-02': 68.26000213623047}, '6_months_later': {'2018-07-02': 80.54000091552734}, '12_months_later': {'2019-01-02': 69.55999755859375}}
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.
PSA
{'date': '2018-01-02', 'ticker': 'PSA', '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/public-storages-preferred-stock-series-d-shares-cross-5-yield-mark-2018-01-02', 'news_author': None, 'news_article': 'Shutterstock photo\nIn trading on Tuesday, shares of Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) were yielding above the 5% mark based on its quarterly dividend (annualized to $1.2375), with shares changing hands as low as $24.65 on the day. This compares to an average yield of 6.80% in the "Real Estate" preferred stock category, according to Preferred Stock Channel . As of last close, PSA.PRD was trading at a 0.08% premium to its liquidation preference amount, versus the average premium of 3.49% in the "Real Estate" category.\nBelow is a dividend history chart for PSA.PRD, showing historical dividend payments on Public Storage\'s 6.18% Cumulative Preferred Stock, Series D :\nIn Tuesday trading, Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) is currently off about 1% on the day, while the common shares (Symbol: PSA) are down about 0.5%.\nClick here to find out the 50 highest yielding preferreds »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Shutterstock photo In trading on Tuesday, shares of Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) were yielding above the 5% mark based on its quarterly dividend (annualized to $1.2375), with shares changing hands as low as $24.65 on the day. Below is a dividend history chart for PSA.PRD, showing historical dividend payments on Public Storage\'s 6.18% Cumulative Preferred Stock, Series D : In Tuesday trading, Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) is currently off about 1% on the day, while the common shares (Symbol: PSA) are down about 0.5%. As of last close, PSA.PRD was trading at a 0.08% premium to its liquidation preference amount, versus the average premium of 3.49% in the "Real Estate" category.', 'news_luhn_summary': 'Shutterstock photo In trading on Tuesday, shares of Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) were yielding above the 5% mark based on its quarterly dividend (annualized to $1.2375), with shares changing hands as low as $24.65 on the day. Below is a dividend history chart for PSA.PRD, showing historical dividend payments on Public Storage\'s 6.18% Cumulative Preferred Stock, Series D : In Tuesday trading, Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) is currently off about 1% on the day, while the common shares (Symbol: PSA) are down about 0.5%. As of last close, PSA.PRD was trading at a 0.08% premium to its liquidation preference amount, versus the average premium of 3.49% in the "Real Estate" category.', 'news_article_title': "Public Storage's Preferred Stock, Series D Shares Cross 5% Yield Mark", 'news_lexrank_summary': 'Shutterstock photo In trading on Tuesday, shares of Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) were yielding above the 5% mark based on its quarterly dividend (annualized to $1.2375), with shares changing hands as low as $24.65 on the day. As of last close, PSA.PRD was trading at a 0.08% premium to its liquidation preference amount, versus the average premium of 3.49% in the "Real Estate" category. Below is a dividend history chart for PSA.PRD, showing historical dividend payments on Public Storage\'s 6.18% Cumulative Preferred Stock, Series D : In Tuesday trading, Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) is currently off about 1% on the day, while the common shares (Symbol: PSA) are down about 0.5%.', 'news_textrank_summary': 'Shutterstock photo In trading on Tuesday, shares of Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) were yielding above the 5% mark based on its quarterly dividend (annualized to $1.2375), with shares changing hands as low as $24.65 on the day. Below is a dividend history chart for PSA.PRD, showing historical dividend payments on Public Storage\'s 6.18% Cumulative Preferred Stock, Series D : In Tuesday trading, Public Storage\'s 6.18% Cumulative Preferred Stock, Series D (Symbol: PSA.PRD) is currently off about 1% on the day, while the common shares (Symbol: PSA) are down about 0.5%. As of last close, PSA.PRD was trading at a 0.08% premium to its liquidation preference amount, versus the average premium of 3.49% in the "Real Estate" category.'}, {'news_url': 'https://seekingalpha.com/article/4134769-imf-portfolio-solid-2017-poised-beat-s-and-p-year?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 IMF Portfolio: Solid 2017 And Poised To Beat The S&P This Year', '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': 205.5800018310547, 'high': 210.1699981689453, 'open': 210.0500030517578, 'close': 206.32000732421875, 'ema_50': 210.0951653937085, 'rsi_14': 36.84987219437835, 'target': 206.7700042724609, 'volume': 812300.0, 'ema_200': 212.43978638004864, 'adj_close': 187.90338134765625, 'rsi_lag_1': 45.037760198051664, 'rsi_lag_2': 52.16348640315389, 'rsi_lag_3': 44.797676025858046, 'rsi_lag_4': 43.634051307386926, 'rsi_lag_5': 41.204921464844354, 'macd_lag_1': -0.8736425540948289, 'macd_lag_2': -0.9660693328586376, 'macd_lag_3': -1.0944245176704612, 'macd_lag_4': -1.2464055497067648, 'macd_lag_5': -1.2949863498737955, 'macd_12_26_9': -1.0050609602072313, 'macds_12_26_9': -0.8637278850534714}, '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': 206.7700042724609, '2018-01-04': 203.1100006103516, '2018-01-05': 201.9199981689453, '2018-01-08': 203.52999877929688, '2018-01-09': 201.1499938964844, '2018-01-10': 196.1100006103516, '2018-01-11': 196.1199951171875, '2018-01-12': 193.5500030517578, '2018-01-16': 193.75}, '1_month_later': {'2018-02-02': 190.3099975585937}, '3_months_later': {'2018-04-02': 199.4100036621093}, '6_months_later': {'2018-07-02': 226.33999633789065}, '12_months_later': {'2019-01-02': 195.0599975585937}}
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.
PRU
{'date': '2018-01-02', 'ticker': 'PRU', '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/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': 114.52999877929688, 'high': 115.70999908447266, 'open': 115.16999816894533, 'close': 115.4499969482422, 'ema_50': 113.29357724657521, 'rsi_14': 45.138020697380256, 'target': 115.48999786376952, 'volume': 2207100.0, 'ema_200': 107.82743769674939, 'adj_close': 103.33221435546876, 'rsi_lag_1': 37.60001046316955, 'rsi_lag_2': 43.957197084675734, 'rsi_lag_3': 49.75420160344725, 'rsi_lag_4': 50.701398975613415, 'rsi_lag_5': 47.20150196463857, 'macd_lag_1': 0.777359854666642, 'macd_lag_2': 0.9009962213366407, 'macd_lag_3': 1.0232964368245803, 'macd_lag_4': 1.1512748119889977, 'macd_lag_5': 1.2652941537332794, 'macd_12_26_9': 0.7091273199194319, 'macds_12_26_9': 1.0173109366334039}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 115.48999786376952, '2018-01-04': 116.51000213623048, '2018-01-05': 117.68000030517578, '2018-01-08': 117.61000061035156, '2018-01-09': 119.0, '2018-01-10': 121.51000213623048, '2018-01-11': 123.72000122070312, '2018-01-12': 124.12000274658205, '2018-01-16': 122.08999633789062}, '1_month_later': {'2018-02-02': 117.33000183105467}, '3_months_later': {'2018-04-02': 100.9499969482422}, '6_months_later': {'2018-07-02': 94.33000183105467}, '12_months_later': {'2019-01-02': 82.66999816894531}}
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.
PRTY
{'date': '2018-01-02', 'ticker': 'PRTY', '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': 13.850000381469728, 'high': 14.5, 'open': 14.100000381469728, 'close': 14.350000381469728, 'ema_50': 12.779461711356063, 'rsi_14': 71.42858533053592, 'target': 14.25, 'volume': 892100.0, 'ema_200': 13.653794477435776, 'adj_close': 14.350000381469728, 'rsi_lag_1': 67.39130750270502, 'rsi_lag_2': 53.636370729812676, 'rsi_lag_3': 53.636370729812676, 'rsi_lag_4': 51.32743079022328, 'rsi_lag_5': 50.877188285997306, 'macd_lag_1': 0.3279819822189083, 'macd_lag_2': 0.27525770795674376, 'macd_lag_3': 0.21923130148765502, 'macd_lag_4': 0.14453241466365263, 'macd_lag_5': 0.05217811068800415, 'macd_12_26_9': 0.39746136545238286, 'macds_12_26_9': 0.21768343215324482}, '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': 14.25, '2018-01-04': 14.050000190734863, '2018-01-05': 13.949999809265137, '2018-01-08': 13.949999809265137, '2018-01-09': 13.75, '2018-01-10': 15.050000190734863, '2018-01-11': 15.75, '2018-01-12': 15.5, '2018-01-16': 15.399999618530272}, '1_month_later': {'2018-02-02': 14.350000381469728}, '3_months_later': {'2018-04-02': 14.899999618530272}, '6_months_later': {'2018-07-02': 14.949999809265137}, '12_months_later': {'2019-01-02': 9.949999809265137}}
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.
PSCI
{'date': '2018-01-02', 'ticker': 'PSCI', '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': 64.44999694824219, 'high': 64.98000335693361, 'open': 64.80000305175781, 'close': 64.51999664306639, 'ema_50': 62.911533866083936, 'rsi_14': 56.716423009191054, 'target': 64.73999786376953, 'volume': 5900.0, 'ema_200': 58.71532081164543, 'adj_close': 63.39064025878906, 'rsi_lag_1': 53.081256437983804, 'rsi_lag_2': 53.15566341587646, 'rsi_lag_3': 51.59421315441457, 'rsi_lag_4': 52.199438422212545, 'rsi_lag_5': 50.712295299329334, 'macd_lag_1': 0.5214597734797621, 'macd_lag_2': 0.5504981961955053, 'macd_lag_3': 0.5551183903878254, 'macd_lag_4': 0.6038500798422319, 'macd_lag_5': 0.6318116168572487, 'macd_12_26_9': 0.4935635935671101, 'macds_12_26_9': 0.5661402739800064}, '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': 64.73999786376953, '2018-01-04': 64.87999725341797, '2018-01-05': 64.75, '2018-01-08': 65.31999969482422, '2018-01-09': 65.04000091552734, '2018-01-10': 64.61000061035156, '2018-01-11': 66.0, '2018-01-12': 66.26000213623047, '2018-01-16': 65.98999786376953}, '1_month_later': {'2018-02-02': 64.54000091552734}, '3_months_later': {'2018-04-02': 62.83000183105469}, '6_months_later': {'2018-07-02': 67.94000244140625}, '12_months_later': {'2019-01-02': 56.38000106811523}}
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.
PRTS
{'date': '2018-01-02', 'ticker': 'PRTS', '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': 2.430000066757202, 'high': 2.630000114440918, 'open': 2.4800000190734863, 'close': 2.5799999237060547, 'ema_50': 2.476043606352198, 'rsi_14': 72.22221486362685, 'target': 2.7100000381469727, 'volume': 130600.0, 'ema_200': 2.804772367865958, 'adj_close': 2.5799999237060547, 'rsi_lag_1': 71.15383998177018, 'rsi_lag_2': 71.42856494099371, 'rsi_lag_3': 65.74074196717332, 'rsi_lag_4': 70.37036546464012, 'rsi_lag_5': 70.37036546464012, 'macd_lag_1': 0.04691787676324788, 'macd_lag_2': 0.047700542814602453, 'macd_lag_3': 0.05004204491900133, 'macd_lag_4': 0.056375492158466045, 'macd_lag_5': 0.058548362513237695, 'macd_12_26_9': 0.05055632042892144, 'macds_12_26_9': 0.037634769827415725}, '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': 2.7100000381469727, '2018-01-04': 2.640000104904175, '2018-01-05': 2.619999885559082, '2018-01-08': 2.609999895095825, '2018-01-09': 2.5199999809265137, '2018-01-10': 2.4800000190734863, '2018-01-11': 2.5, '2018-01-12': 2.509999990463257, '2018-01-16': 2.490000009536743}, '1_month_later': {'2018-02-02': 2.4600000381469727}, '3_months_later': {'2018-04-02': 2.009999990463257}, '6_months_later': {'2018-07-02': 1.5}, '12_months_later': {'2019-01-02': 0.9700000286102296}}
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.
PRTH
{'date': '2018-01-02', 'ticker': 'PRTH', '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': 10.1899995803833, 'high': 10.1899995803833, 'open': 10.1899995803833, 'close': 10.1899995803833, 'ema_50': 10.185573027688056, 'rsi_14': 59.4594455269967, 'target': 10.1899995803833, 'volume': 0.0, 'ema_200': 10.104675932817862, 'adj_close': 10.1899995803833, 'rsi_lag_1': 55.000011920968944, 'rsi_lag_2': 50.0, 'rsi_lag_3': 68.74994412075915, 'rsi_lag_4': 66.66657033618411, 'rsi_lag_5': 73.68418410881918, 'macd_lag_1': 0.022076273337159336, 'macd_lag_2': 0.02759832322258937, 'macd_lag_3': 0.035263144759696274, 'macd_lag_4': 0.033333360736147455, 'macd_lag_5': 0.030385405699021817, 'macd_12_26_9': 0.017498299514249638, 'macds_12_26_9': 0.02081021773368666}, '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': 10.1899995803833, '2018-01-04': 10.21500015258789, '2018-01-05': 10.199999809265137, '2018-01-08': 10.199999809265137, '2018-01-09': 10.199999809265137, '2018-01-10': 10.199999809265137, '2018-01-11': 10.199999809265137, '2018-01-12': 10.199999809265137, '2018-01-16': 10.199999809265137}, '1_month_later': {'2018-02-02': 10.25}, '3_months_later': {'2018-04-02': 10.4399995803833}, '6_months_later': {'2018-07-02': 10.520000457763672}, '12_months_later': {'2019-01-02': 7.21999979019165}}
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.
PRTA
{'date': '2018-01-02', 'ticker': 'PRTA', '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': 36.5, 'high': 38.185001373291016, 'open': 38.130001068115234, 'close': 37.79999923706055, 'ema_50': 45.65220865340543, 'rsi_14': 41.249992921948014, 'target': 39.27999877929688, 'volume': 479800.0, 'ema_200': 53.14007293912551, 'adj_close': 37.79999923706055, 'rsi_lag_1': 36.92423149149005, 'rsi_lag_2': 40.269467233008356, 'rsi_lag_3': 43.08131753435608, 'rsi_lag_4': 34.34650427732957, 'rsi_lag_5': 29.649313445832433, 'macd_lag_1': -3.1776104464146897, 'macd_lag_2': -3.393509559425212, 'macd_lag_3': -3.6716422991776696, 'macd_lag_4': -3.894835061501361, 'macd_lag_5': -4.0833490121175515, 'macd_12_26_9': -2.9475174848643277, 'macds_12_26_9': -3.6326315808692353}, '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': 39.27999877929688, '2018-01-04': 38.290000915527344, '2018-01-05': 37.66999816894531, '2018-01-08': 36.59999847412109, '2018-01-09': 37.02000045776367, '2018-01-10': 38.2599983215332, '2018-01-11': 39.619998931884766, '2018-01-12': 41.33000183105469, '2018-01-16': 39.95000076293945}, '1_month_later': {'2018-02-02': 39.59999847412109}, '3_months_later': {'2018-04-02': 35.2400016784668}, '6_months_later': {'2018-07-02': 15.119999885559082}, '12_months_later': {'2019-01-02': 10.5}}
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.
PRT
{'date': '2018-01-02', 'ticker': 'PRT', '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': 4.090000152587891, 'high': 4.210000038146973, 'open': 4.122000217437744, 'close': 4.210000038146973, 'ema_50': 3.7835984008081285, 'rsi_14': 77.94117234570116, 'target': 4.264999866485596, 'volume': 89744.0, 'ema_200': 3.699916846743213, 'adj_close': 3.397080183029175, 'rsi_lag_1': 58.3333222954402, 'rsi_lag_2': 54.54544797745284, 'rsi_lag_3': 57.14284741149054, 'rsi_lag_4': 52.63157564517303, 'rsi_lag_5': 54.05404882939738, 'macd_lag_1': 0.03189576513217496, 'macd_lag_2': 0.03009691114972135, 'macd_lag_3': 0.030417688627806694, 'macd_lag_4': 0.03242103992322143, 'macd_lag_5': 0.03348828505786372, 'macd_12_26_9': 0.06165959853117631, 'macds_12_26_9': 0.037817527587290296}, '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': 4.264999866485596, '2018-01-04': 4.28000020980835, '2018-01-05': 4.460000038146973, '2018-01-08': 4.679999828338623, '2018-01-09': 4.590000152587891, '2018-01-10': 4.525000095367432, '2018-01-11': 4.385000228881836, '2018-01-12': 4.434999942779541, '2018-01-16': 4.59499979019165}, '1_month_later': {'2018-02-02': 4.400000095367432}, '6_months_later': {'2018-07-02': 16.290000915527344}, '12_months_later': {'2019-01-02': 7.480000019073486}}
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.
PRSC
{'date': '2018-01-02', 'ticker': 'PRSC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 58.59999847412109, 'high': 60.52000045776367, 'open': 59.0, 'close': 60.18999862670898, 'ema_50': 57.1314352692205, 'rsi_14': 60.25506208113272, 'target': 59.97999954223633, 'volume': 164000.0, 'ema_200': 52.05217602550605, 'adj_close': 60.18999862670898, 'rsi_lag_1': 56.71297144580319, 'rsi_lag_2': 55.68182606343504, 'rsi_lag_3': 53.239126527677975, 'rsi_lag_4': 50.30302609950131, 'rsi_lag_5': 51.93434059975358, 'macd_lag_1': 0.5742127109376867, 'macd_lag_2': 0.5377822320239147, 'macd_lag_3': 0.454952439852498, 'macd_lag_4': 0.3813046445220394, 'macd_lag_5': 0.3194300342137453, 'macd_12_26_9': 0.6640175204331982, 'macds_12_26_9': 0.4907540004647924}, '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': 59.97999954223633, '2018-01-04': 62.43999862670898, '2018-01-05': 62.209999084472656, '2018-01-08': 62.08000183105469, '2018-01-09': 63.27999877929688, '2018-01-10': 62.31999969482422, '2018-01-11': 64.08000183105469, '2018-01-12': 64.33999633789062, '2018-01-16': 64.66000366210938}, '1_month_later': {'2018-02-02': 63.720001220703125}, '3_months_later': {'2018-04-02': 68.02999877929688}, '6_months_later': {'2018-07-02': 79.91999816894531}, '12_months_later': {'2019-01-02': 60.290000915527344}}
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.
PRQR
{'date': '2018-01-02', 'ticker': 'PRQR', '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': 3.200000047683716, 'high': 3.3499999046325684, 'open': 3.25, 'close': 3.299999952316284, 'ema_50': 3.386805898349178, 'rsi_14': 68.18180931501264, 'target': 3.424999952316284, 'volume': 55200.0, 'ema_200': 4.36433552404051, 'adj_close': 3.299999952316284, 'rsi_lag_1': 59.99999576144748, 'rsi_lag_2': 48.571423121861045, 'rsi_lag_3': 55.8823479913092, 'rsi_lag_4': 44.18604548007086, 'rsi_lag_5': 46.51162429652627, 'macd_lag_1': -0.09253724516510786, 'macd_lag_2': -0.12414076582051958, 'macd_lag_3': -0.13212721680928885, 'macd_lag_4': -0.14803535050007044, 'macd_lag_5': -0.17127757663941612, 'macd_12_26_9': -0.06073918677182277, 'macds_12_26_9': -0.13724395430995315}, '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': 3.424999952316284, '2018-01-04': 3.400000095367432, '2018-01-05': 3.325000047683716, '2018-01-08': 3.450000047683716, '2018-01-09': 3.400000095367432, '2018-01-10': 3.3499999046325684, '2018-01-11': 3.299999952316284, '2018-01-12': 3.0999999046325684, '2018-01-16': 3.049999952316284}, '1_month_later': {'2018-02-02': 3.174999952316284}, '3_months_later': {'2018-04-02': 2.950000047683716}, '6_months_later': {'2018-07-02': 7.25}, '12_months_later': {'2019-01-02': 17.479999542236328}}
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.
PRPO
{'date': '2018-01-02', 'ticker': 'PRPO', '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': 17.15999984741211, 'high': 18.450000762939453, 'open': 17.25, 'close': 17.25, 'ema_50': 40.182875123874446, 'rsi_14': 50.79364887140452, 'target': 17.850000381469727, 'volume': 3300.0, 'ema_200': 798.1792151159555, 'adj_close': 17.25, 'rsi_lag_1': 52.980138305970804, 'rsi_lag_2': 52.459021177620265, 'rsi_lag_3': 53.333324856228295, 'rsi_lag_4': 49.206351128595514, 'rsi_lag_5': 47.54098975764164, 'macd_lag_1': -0.983507103764051, 'macd_lag_2': -1.0804709057596362, 'macd_lag_3': -1.1885160362229534, 'macd_lag_4': -1.3396787827154206, 'macd_lag_5': -1.4978584902395902, 'macd_12_26_9': -0.9561593146932736, 'macds_12_26_9': -1.3796380548836065}, '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': 17.850000381469727, '2018-01-04': 17.700000762939453, '2018-01-05': 18.225000381469727, '2018-01-08': 18.0, '2018-01-09': 18.09000015258789, '2018-01-10': 18.89999961853028, '2018-01-11': 19.5, '2018-01-12': 19.5, '2018-01-16': 17.850000381469727}, '1_month_later': {'2018-02-02': 16.049999237060547}, '3_months_later': {'2018-04-02': 7.90500020980835}, '6_months_later': {'2018-07-02': 5.369999885559082}, '12_months_later': {'2019-01-02': 2.400000095367432}}
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.
PRPH
{'date': '2018-01-02', 'ticker': 'PRPH', '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': 2.190000057220459, 'high': 2.4800000190734863, 'open': 2.190000057220459, 'close': 2.240000009536743, 'ema_50': 2.2123436983053346, 'rsi_14': 47.222222222222236, 'target': 2.309999942779541, 'volume': 13300.0, 'ema_200': 2.116261342747336, 'adj_close': 1.3563482761383057, 'rsi_lag_1': 33.33333333333343, 'rsi_lag_2': 25.92592592592608, 'rsi_lag_3': 32.14285714285731, 'rsi_lag_4': 28.57142857142864, 'rsi_lag_5': 37.50000000000005, 'macd_lag_1': -0.01935183614380831, 'macd_lag_2': -0.017944785041472677, 'macd_lag_3': -0.012833318583293618, 'macd_lag_4': -0.007140743062628907, 'macd_lag_5': 0.0012470995300084553, 'macd_12_26_9': -0.01464965260468798, 'macds_12_26_9': -0.005601130558272513}, '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': 2.309999942779541, '2018-01-04': 2.289999961853028, '2018-01-05': 2.240000009536743, '2018-01-08': 2.319999933242798, '2018-01-09': 2.319999933242798, '2018-01-10': 2.299999952316284, '2018-01-11': 2.359999895095825, '2018-01-12': 2.380000114440918, '2018-01-16': 2.400000095367432}, '1_month_later': {'2018-02-02': 2.3499999046325684}, '3_months_later': {'2018-04-02': 2.9800000190734863}, '6_months_later': {'2018-07-02': 3.150000095367432}, '12_months_later': {'2019-01-02': 3.25}}
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.
PROV
{'date': '2018-01-02', 'ticker': 'PROV', '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': 18.3700008392334, 'high': 18.68000030517578, 'open': 18.38999938964844, 'close': 18.46999931335449, 'ema_50': 18.9731981298014, 'rsi_14': 44.01915010896505, 'target': 18.690000534057617, 'volume': 18100.0, 'ema_200': 19.12469004110495, 'adj_close': 17.124832153320312, 'rsi_lag_1': 39.534891973364815, 'rsi_lag_2': 35.865005050037595, 'rsi_lag_3': 33.333360503473656, 'rsi_lag_4': 34.061178289253505, 'rsi_lag_5': 31.4516507375194, 'macd_lag_1': -0.19836574071431912, 'macd_lag_2': -0.19217276490930857, 'macd_lag_3': -0.189618482351392, 'macd_lag_4': -0.17647296030661863, 'macd_lag_5': -0.16425485621984137, 'macd_12_26_9': -0.19537318780390223, 'macds_12_26_9': -0.16792873954437043}, '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': 18.690000534057617, '2018-01-04': 18.96999931335449, '2018-01-05': 18.799999237060547, '2018-01-08': 18.59000015258789, '2018-01-09': 18.61000061035156, '2018-01-10': 18.71999931335449, '2018-01-11': 18.75, '2018-01-12': 18.799999237060547, '2018-01-16': 18.739999771118164}, '1_month_later': {'2018-02-02': 18.299999237060547}, '3_months_later': {'2018-04-02': 18.200000762939453}, '6_months_later': {'2018-07-02': 19.239999771118164}, '12_months_later': {'2019-01-02': 16.290000915527344}}
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.
PSCM
{'date': '2018-01-02', 'ticker': 'PSCM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.119998931884766, 'high': 52.900001525878906, 'open': 52.119998931884766, 'close': 52.83000183105469, 'ema_50': 51.06093047639421, 'rsi_14': 66.66666666666657, 'target': 52.97999954223633, 'volume': 4000.0, 'ema_200': 48.149289919716225, 'adj_close': 51.09078979492188, 'rsi_lag_1': 63.595512552901944, 'rsi_lag_2': 60.39819629282975, 'rsi_lag_3': 59.68463495374673, 'rsi_lag_4': 53.53533485304566, 'rsi_lag_5': 45.76921101859664, 'macd_lag_1': 0.31208555249271797, 'macd_lag_2': 0.2885223830820536, 'macd_lag_3': 0.264432572505477, 'macd_lag_4': 0.24307539470484585, 'macd_lag_5': 0.20820740698991358, 'macd_12_26_9': 0.366876234481218, 'macds_12_26_9': 0.2638102108916055}, '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': 52.97999954223633, '2018-01-04': 53.36000061035156, '2018-01-05': 53.54999923706055, '2018-01-08': 53.84999847412109, '2018-01-09': 53.45000076293945, '2018-01-10': 53.33000183105469, '2018-01-11': 54.880001068115234, '2018-01-12': 54.70000076293945, '2018-01-16': 54.25}, '1_month_later': {'2018-02-02': 51.97999954223633}, '3_months_later': {'2018-04-02': 49.5}, '6_months_later': {'2018-07-02': 52.88999938964844}, '12_months_later': {'2019-01-02': 40.77000045776367}}
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.
psct
{'date': '2018-01-02', 'ticker': 'psct', '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': 25.520000457763672, 'high': 25.89666748046875, 'open': 25.61333274841309, 'close': 25.89666748046875, 'ema_50': 25.8748072203958, 'rsi_14': 60.75777062158007, 'target': 26.06333351135254, 'volume': 194700.0, 'ema_200': 25.080605259752943, 'adj_close': 25.28754425048828, 'rsi_lag_1': 55.246917123266485, 'rsi_lag_2': 56.8253302198257, 'rsi_lag_3': 58.473224425613765, 'rsi_lag_4': 56.32351332475027, 'rsi_lag_5': 57.164146982613566, 'macd_lag_1': -0.11965582378685724, 'macd_lag_2': -0.112393744296579, 'macd_lag_3': -0.11404741151834585, 'macd_lag_4': -0.10194168128018788, 'macd_lag_5': -0.09145608229530211, 'macd_12_26_9': -0.09074342006654845, 'macds_12_26_9': -0.12138632801485616}, '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': 26.06333351135254, '2018-01-04': 26.08666610717773, '2018-01-05': 26.309999465942383, '2018-01-08': 26.38666725158692, '2018-01-09': 26.233333587646484, '2018-01-10': 26.06666755676269, '2018-01-11': 26.546667098999023, '2018-01-12': 26.700000762939453, '2018-01-16': 26.55666732788086}, '1_month_later': {'2018-02-02': 25.606666564941406}, '3_months_later': {'2018-04-02': 25.11000061035156}, '6_months_later': {'2018-07-02': 27.90333366394043}, '12_months_later': {'2019-01-02': 23.1200008392334}}
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.
PSCU
{'date': '2018-01-02', 'ticker': 'PSCU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.41999816894531, 'high': 53.0, 'open': 52.86000061035156, 'close': 52.650001525878906, 'ema_50': 54.44792018200054, 'rsi_14': 24.281132637708694, 'target': 52.34999847412109, 'volume': 6600.0, 'ema_200': 52.7748699934093, 'adj_close': 50.15475845336914, 'rsi_lag_1': 26.996762377522785, 'rsi_lag_2': 28.773542750173533, 'rsi_lag_3': 26.699023732630195, 'rsi_lag_4': 23.54693189538291, 'rsi_lag_5': 20.816848204126174, 'macd_lag_1': -0.7860451095648884, 'macd_lag_2': -0.7886871002953981, 'macd_lag_3': -0.7846602493135464, 'macd_lag_4': -0.7446891479517461, 'macd_lag_5': -0.6757124038612616, 'macd_12_26_9': -0.7885785022752003, 'macds_12_26_9': -0.6125710112826207}, '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': 52.34999847412109, '2018-01-04': 52.2599983215332, '2018-01-05': 52.0, '2018-01-08': 52.560001373291016, '2018-01-09': 52.13999938964844, '2018-01-10': 51.29999923706055, '2018-01-11': 51.93999862670898, '2018-01-12': 52.43000030517578, '2018-01-16': 52.0}, '1_month_later': {'2018-02-02': 50.75}, '3_months_later': {'2018-04-02': 49.02000045776367}, '6_months_later': {'2018-07-02': 54.119998931884766}, '12_months_later': {'2019-01-02': 48.880001068115234}}
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.
PSTI
{'date': '2018-01-02', 'ticker': 'PSTI', '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': 14.100000381469728, 'high': 14.5, 'open': 14.100000381469728, 'close': 14.399999618530272, 'ema_50': 14.704072211838321, 'rsi_14': 53.19148202242309, 'target': 14.199999809265137, 'volume': 16300.0, 'ema_200': 14.280758561423971, 'adj_close': 14.399999618530272, 'rsi_lag_1': 40.42553364178279, 'rsi_lag_2': 38.775512984474, 'rsi_lag_3': 46.296290082367435, 'rsi_lag_4': 48.07692413499414, 'rsi_lag_5': 48.07692413499412, 'macd_lag_1': -0.34316867537037155, 'macd_lag_2': -0.34414569008533213, 'macd_lag_3': -0.34038696064755136, 'macd_lag_4': -0.3408201319312578, 'macd_lag_5': -0.3567793463136635, 'macd_12_26_9': -0.2906292516485198, 'macds_12_26_9': -0.3574938125601952}, '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': 14.199999809265137, '2018-01-04': 14.300000190734863, '2018-01-05': 14.399999618530272, '2018-01-08': 14.699999809265137, '2018-01-09': 16.0, '2018-01-10': 15.300000190734863, '2018-01-11': 15.199999809265137, '2018-01-12': 16.100000381469727, '2018-01-16': 15.899999618530272}, '1_month_later': {'2018-02-02': 14.199999809265137}, '3_months_later': {'2018-04-02': 13.600000381469728}, '6_months_later': {'2018-07-02': 12.5}, '12_months_later': {'2019-01-02': 8.899999618530273}}
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.
PSTG
{'date': '2018-01-02', 'ticker': 'PSTG', '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/why-you-should-hold-on-to-pure-storage-pstg-stock-for-now-2018-01-02', 'news_author': None, 'news_article': 'Shares of Pure Storage Inc.PSTG have been performing well of late. If you haven\'t taken advantage of the share price appreciation yet, its time you hold the stock in your portfolio as it looks promising and is poised to carry the momentum ahead.\nShares of Pure Storage, which provides software-defined all-flash solutions that are uniquely fast and cloud-capable for customers, have returned 40.7% in a year, substantially outperforming the industry \'s growth of 20.9%.\nWhat\'s Going in Favor of Pure Storage?\nPure Storage is rapidly gaining traction in the flash storage market, as evident from its expanding customer base. In the third quarter, the company added more than 300 customers, bringing the total base to 4,000 organizations and reflecting an increase of 54% from the year-ago quarter.\nNotably, the company\'s cloud customers contributed around 25% to business while existing customers contributed 70%. The company\'s strong product portfolio with the likes of FlashArray and FlashBlade business segments was the key catalyst. Additionally, its data platform for cloud is gaining traction.\nManagement is optimistic about its scalable storage solutions in an era where the world is typically being driven by big-data, artificial intelligence (AI) and data analytics based information. The company is currently focusing on three major aspects, namely increasing cloud customer base, solidifying the position of its next generation workload related core data infrastructure and tapping large enterprises as they "cloudify" their on-premise IT infrastructure.\nManagement is also positive about the company\'s partner ecosystem, which assisted it in winning a multimillion dollar deal with a prominent financial services institution.\nThe company stated that the storage market for AI is likely to witness CAGR of 78% over the next five years. Pure Storage is well poised to grab the opportunity. Further, its partnership with NVIDIA, which is a dominant player in AI related computation, is anticipated to be a positive.\nNotably, the company delivered a positive earnings surprise of 66.7% in the last quarter.\nRisks Prevail\nHowever, Pure Storage faces intensifying competition in the flash-based storage market from the likes of Hitachi, NetApp, Dell EMC, HP Enterprise, Lenovo and IBM.\nThe competition has resulted in a decline in the average selling price ("ASP"). Any decline in ASP will impact the results if shipments do not improve considerably. This will eventually hurt top-line growth going forward.\nOur Take\nWe expect the aforementioned factors to help the company sustain its strong momentum and stay afloat in difficult times. Hence, we suggest that investors hold on to the stock at the moment.\nZacks Rank & Key Picks\nPure Storage carries a Zacks Rank #3 (Hold).\nNVIDIA Corporation NVDA , Western Digital Corporation WDC and Analog Devices, Inc. ADI are some better-ranked stocks in the same sector. All the three companies sport a Zacks Rank #1 (Strong Buy). You can see the complete list of today\'s Zacks #1 Rank 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\nWestern Digital Corporation (WDC): Free Stock Analysis Report\nPure Storage, Inc. (PSTG): Free Stock Analysis Report\nNVIDIA Corporation (NVDA): Free Stock Analysis Report\nAnalog Devices, Inc. (ADI): 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': "Shares of Pure Storage Inc.PSTG have been performing well of late. Click to get this free report Western Digital Corporation (WDC): Free Stock Analysis Report Pure Storage, Inc. (PSTG): Free Stock Analysis Report NVIDIA Corporation (NVDA): Free Stock Analysis Report Analog Devices, Inc. (ADI): Free Stock Analysis Report To read this article on Zacks.com click here. If you haven't taken advantage of the share price appreciation yet, its time you hold the stock in your portfolio as it looks promising and is poised to carry the momentum ahead.", 'news_luhn_summary': 'Click to get this free report Western Digital Corporation (WDC): Free Stock Analysis Report Pure Storage, Inc. (PSTG): Free Stock Analysis Report NVIDIA Corporation (NVDA): Free Stock Analysis Report Analog Devices, Inc. (ADI): Free Stock Analysis Report To read this article on Zacks.com click here. Shares of Pure Storage Inc.PSTG have been performing well of late. Zacks Rank & Key Picks Pure Storage carries a Zacks Rank #3 (Hold).', 'news_article_title': 'Why You Should Hold on to Pure Storage (PSTG) Stock for Now', 'news_lexrank_summary': "Shares of Pure Storage Inc.PSTG have been performing well of late. Click to get this free report Western Digital Corporation (WDC): Free Stock Analysis Report Pure Storage, Inc. (PSTG): Free Stock Analysis Report NVIDIA Corporation (NVDA): Free Stock Analysis Report Analog Devices, Inc. (ADI): Free Stock Analysis Report To read this article on Zacks.com click here. If you haven't taken advantage of the share price appreciation yet, its time you hold the stock in your portfolio as it looks promising and is poised to carry the momentum ahead.", 'news_textrank_summary': 'Click to get this free report Western Digital Corporation (WDC): Free Stock Analysis Report Pure Storage, Inc. (PSTG): Free Stock Analysis Report NVIDIA Corporation (NVDA): Free Stock Analysis Report Analog Devices, Inc. (ADI): Free Stock Analysis Report To read this article on Zacks.com click here. Shares of Pure Storage Inc.PSTG have been performing well of late. Pure Storage is rapidly gaining traction in the flash storage market, as evident from its expanding customer base.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.899999618530272, 'high': 16.209999084472656, 'open': 15.9399995803833, 'close': 16.209999084472656, 'ema_50': 16.570618694700677, 'rsi_14': 36.78567171092742, 'target': 16.600000381469727, 'volume': 2813600.0, 'ema_200': 14.685950621528955, 'adj_close': 16.209999084472656, 'rsi_lag_1': 24.727240191969642, 'rsi_lag_2': 29.045620494280712, 'rsi_lag_3': 30.204086399040875, 'rsi_lag_4': 29.838705956004844, 'rsi_lag_5': 43.20555430392761, 'macd_lag_1': -0.2646190512233346, 'macd_lag_2': -0.22593985735367994, 'macd_lag_3': -0.2099392533874962, 'macd_lag_4': -0.16508127749326107, 'macd_lag_5': -0.1084796214104422, 'macd_12_26_9': -0.2639874789469516, 'macds_12_26_9': -0.15893706716773176}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.600000381469727, '2018-01-04': 16.84000015258789, '2018-01-05': 16.940000534057617, '2018-01-08': 16.579999923706055, '2018-01-09': 16.43000030517578, '2018-01-10': 16.59000015258789, '2018-01-11': 17.049999237060547, '2018-01-12': 16.469999313354492, '2018-01-16': 16.15999984741211}, '1_month_later': {'2018-02-02': 19.780000686645508}, '3_months_later': {'2018-04-02': 19.309999465942383}, '6_months_later': {'2018-07-02': 24.049999237060547}, '12_months_later': {'2019-01-02': 16.40999984741211}}
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.
pst
{'date': '2018-01-02', 'ticker': 'pst', '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': 21.61000061035156, 'high': 21.75, 'open': 21.61000061035156, 'close': 21.729999542236328, 'ema_50': 21.50597532672321, 'rsi_14': 57.69230204923625, 'target': 21.670000076293945, 'volume': 21600.0, 'ema_200': 21.451762988820793, 'adj_close': 20.41978073120117, 'rsi_lag_1': 52.58619697420627, 'rsi_lag_2': 56.880751604193385, 'rsi_lag_3': 59.48284366922515, 'rsi_lag_4': 62.72734366194741, 'rsi_lag_5': 60.5263289982884, 'macd_lag_1': 0.055714116192159935, 'macd_lag_2': 0.06761538673663736, 'macd_lag_3': 0.0736767923744388, 'macd_lag_4': 0.08339610884601001, 'macd_lag_5': 0.08033397334049042, 'macd_12_26_9': 0.06011383892840527, 'macds_12_26_9': 0.05804156677121647}, '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': 21.670000076293945, '2018-01-04': 21.700000762939453, '2018-01-05': 21.799999237060547, '2018-01-08': 21.799999237060547, '2018-01-09': 22.0, '2018-01-10': 22.059999465942383, '2018-01-11': 21.989999771118164, '2018-01-12': 22.040000915527344, '2018-01-16': 22.040000915527344}, '1_month_later': {'2018-02-02': 22.96999931335449}, '3_months_later': {'2018-04-02': 22.530000686645508}, '6_months_later': {'2018-07-02': 22.809999465942383}, '12_months_later': {'2019-01-02': 21.729999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PSR
{'date': '2018-01-02', 'ticker': 'PSR', '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': 81.45999908447266, 'high': 81.83999633789062, 'open': 81.70999908447266, 'close': 81.7300033569336, 'ema_50': 81.58830523947832, 'rsi_14': 48.111692398663045, 'target': 81.33000183105469, 'volume': 78200.0, 'ema_200': 79.73045436274462, 'adj_close': 81.7300033569336, 'rsi_lag_1': 53.908760384799855, 'rsi_lag_2': 52.033879675427535, 'rsi_lag_3': 50.95321082236086, 'rsi_lag_4': 48.11781467463985, 'rsi_lag_5': 37.9538132461787, 'macd_lag_1': -0.12343966795491212, 'macd_lag_2': -0.17380790961408366, 'macd_lag_3': -0.21113184051722556, 'macd_lag_4': -0.20784507035452293, 'macd_lag_5': -0.20062675541437613, 'macd_12_26_9': -0.10889497427513106, 'macds_12_26_9': -0.09344774942544207}, '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': 81.33000183105469, '2018-01-04': 80.08999633789062, '2018-01-05': 80.19999694824219, '2018-01-08': 80.83000183105469, '2018-01-09': 79.79000091552734, '2018-01-10': 78.70999908447266, '2018-01-11': 78.33999633789062, '2018-01-12': 77.87000274658203, '2018-01-16': 78.11000061035156}, '1_month_later': {'2018-02-02': 77.20999908447266}, '3_months_later': {'2018-04-02': 75.5999984741211}, '6_months_later': {'2018-07-02': 80.77999877929688}, '12_months_later': {'2019-01-02': 74.51000213623047}}
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.
PSQ
{'date': '2018-01-02', 'ticker': 'PSQ', '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': 34.939998626708984, 'high': 35.47999954223633, 'open': 35.40999984741211, 'close': 34.95000076293945, 'ema_50': 36.03953369336984, 'rsi_14': 35.294188721974535, 'target': 34.619998931884766, 'volume': 582400.0, 'ema_200': 38.997578982633385, 'adj_close': 34.95000076293945, 'rsi_lag_1': 42.16225021496308, 'rsi_lag_2': 30.50851841075861, 'rsi_lag_3': 28.877011892862242, 'rsi_lag_4': 26.865688637528223, 'rsi_lag_5': 19.459468376198785, 'macd_lag_1': -0.21375154664830376, 'macd_lag_2': -0.2486568692224509, 'macd_lag_3': -0.2651553919481273, 'macd_lag_4': -0.2854111218726274, 'macd_lag_5': -0.30813176380157614, 'macd_12_26_9': -0.2342246520977156, 'macds_12_26_9': -0.25607511146688977}, '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': 34.560001373291016, '2018-01-05': 34.220001220703125, '2018-01-08': 34.08000183105469, '2018-01-09': 34.08000183105469, '2018-01-10': 34.150001525878906, '2018-01-11': 33.91999816894531, '2018-01-12': 33.70000076293945, '2018-01-16': 33.779998779296875}, '1_month_later': {'2018-02-02': 33.650001525878906}, '3_months_later': {'2018-04-02': 35.13999938964844}, '6_months_later': {'2018-07-02': 31.51000022888184}, '12_months_later': {'2019-01-02': 34.29999923706055}}
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.
psp
{'date': '2018-01-02', 'ticker': 'psp', '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': 62.45000076293945, 'high': 63.09999847412109, 'open': 62.45000076293945, 'close': 63.09999847412109, 'ema_50': 62.567460080955605, 'rsi_14': 57.831302044219186, 'target': 63.34999847412109, 'volume': 19700.0, 'ema_200': 61.71235912275714, 'adj_close': 57.10543441772461, 'rsi_lag_1': 48.52943486407353, 'rsi_lag_2': 53.947359174900896, 'rsi_lag_3': 58.024704149257296, 'rsi_lag_4': 51.282078870225156, 'rsi_lag_5': 45.45453757295595, 'macd_lag_1': -0.1677170559277954, 'macd_lag_2': -0.19818673404529363, 'macd_lag_3': -0.22910357566480144, 'macd_lag_4': -0.27032312382292645, 'macd_lag_5': -0.28336607521499957, 'macd_12_26_9': -0.07412734942803922, 'macds_12_26_9': -0.20582136595175893}, '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': 63.34999847412109, '2018-01-04': 63.79999923706055, '2018-01-05': 64.19999694824219, '2018-01-08': 64.30000305175781, '2018-01-09': 64.3499984741211, '2018-01-10': 64.25, '2018-01-11': 64.69999694824219, '2018-01-12': 65.55000305175781, '2018-01-16': 65.4000015258789}, '1_month_later': {'2018-02-02': 65.6500015258789}, '3_months_later': {'2018-04-02': 59.54999923706055}, '6_months_later': {'2018-07-02': 60.0}, '12_months_later': {'2019-01-02': 50.04999923706055}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PSO
{'date': '2018-01-02', 'ticker': 'PSO', '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': 9.84000015258789, 'high': 9.970000267028809, 'open': 9.890000343322754, 'close': 9.90999984741211, 'ema_50': 9.379670939098297, 'rsi_14': 51.111082854112304, 'target': 9.880000114440918, 'volume': 218200.0, 'ema_200': 8.97901485807494, 'adj_close': 9.210447311401367, 'rsi_lag_1': 46.987943501176105, 'rsi_lag_2': 46.98794350117599, 'rsi_lag_3': 58.095232905179394, 'rsi_lag_4': 59.6329841777579, 'rsi_lag_5': 57.40740086643086, 'macd_lag_1': 0.11963256976011571, 'macd_lag_2': 0.12020155170474922, 'macd_lag_3': 0.12223391162817165, 'macd_lag_4': 0.12712271751360227, 'macd_lag_5': 0.13354996410674325, 'macd_12_26_9': 0.12500295140868012, 'macds_12_26_9': 0.1382611355237297}, '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': 9.880000114440918, '2018-01-04': 9.899999618530272, '2018-01-05': 9.93000030517578, '2018-01-08': 9.859999656677246, '2018-01-09': 9.93000030517578, '2018-01-10': 9.789999961853027, '2018-01-11': 9.800000190734863, '2018-01-12': 9.899999618530272, '2018-01-16': 9.81999969482422}, '1_month_later': {'2018-02-02': 9.640000343322754}, '3_months_later': {'2018-04-02': 10.399999618530272}, '6_months_later': {'2018-07-02': 11.579999923706056}, '12_months_later': {'2019-01-02': 11.880000114440918}}
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.
PSMT
{'date': '2018-01-02', 'ticker': 'PSMT', '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/3-things-watch-stock-market-week-2018-01-02', 'news_author': None, 'news_article': 'Stocks ticked lower during calm trading last week, which was shortened by the Christmas holiday. The minor decline still left investors staring at significant gains in 2017. For the full calendar year, the Dow Jones Industrial Average (DJINDICES: ^DJI) rose by over 25%, while the S&P 500 (SNPINDEX: ^GSPC) logged a 20% jump.\n^SPX data by YCharts.\nSeveral big-name earnings reports are on tap for the first trading week of 2018, including announcements from PriceSmart (NASDAQ: PSMT) , Sonic (NASDAQ: SONC) , and Constellation Brands (NYSE: STZ) . Let\'s look at a few key trends investors will be watching for in these results.\nPriceSmart\'s Colombian business\nInternational warehouse club PriceSmart kicks off its fiscal 2018 by posting results after the market closes on Thursday. The retailer\'s last quarterly outing didn\'t give investors much good news to celebrate, and that stumble helps explain why the stock underperformed the market in 2017.\nThe quarter was marked by steady, but unspectacular, growth as comparable-store sales held to a 2% rate. U.S.-based peer Costco , in comparison, grew comps by 8% in its latest quarter. While a healing Colombian economy lifted PriceSmart\'s results, those gains were mostly offset by contractions in other markets , particularly Trinidad.\nPriceSmart\'s latest operating figures should be a bit stronger. Comps for the month of November, which includes the start of the critical holiday shopping season, improved by nearly 3%, the company said in early December.\nInvestors will be looking for that growth uptick to come paired with membership gains and healthy renewal rates. PriceSmart\'s long-term outlook depends on its ability to expand beyond its small footprint of just 40 warehouses spread across Latin America and the Caribbean. But short-term results can often be rocked by instability in one or more of its major markets, so shareholders must be prepared for volatility as areas like Trinidad, Colombia, and Jamaica turn in varied levels of economic growth.\nSonic\'s customer traffic\nSonic posts its results on Thursday afternoon. The country\'s biggest drive-in restaurant chain is hoping to turn the page from a disappointing fiscal 2017, during which revenue declined 3.3%. "Sales were slower than we would have liked," CEO Cliff Hudson told investors in mid-October after the fast-food chain posted surprisingly soft fourth-quarter revenue, while blaming intense competitive activity with reducing its customer traffic. Industry leader McDonald \'s, on the other hand, grew comps by 6% in the same period.\nHudson and his team are targeting a return to positive comps in the new fiscal year. To get there, executives are making changes to their marketing approach to try to deepen the company\'s connection with its most loyal drive-in fans. Investors will be watching these results for signs that the advertising shift is working. In the meantime, look for Sonic\'s more heavily franchised business to generate stronger cash flow and profitability in 2018, even if sales growth remains weak.\nConstellation Brands\' beer sales\nConstellation Brands shareholders trounced the market in 2017 as the alcoholic beverage giant announced sharply higher sales and profits. Its premium imported beer portfolio, anchored by the Corona and Modelo franchises, is enjoying particularly robust demand these days. Last quarter, that segment grew 13%, even as profit margin jumped to 41% of sales from 37%, due to higher selling prices.\nInvestors are expecting more market-leading sales growth and profitability when Constellation Brands posts its fiscal second-quarter numbers before the market opens on Friday. Given the sharp run-up in the stock lately, shares might decline in reaction to anything less than stellar operating results.\nRegardless of that short-term volatility, though, the big-picture outlook looks bright for this company. Constellation Brands is nearly finished expanding its Mexican brewery capacity, and as capital spending slows back down, management is targeting at least $1 billion of annual free cash flow, much of which it can return directly to shareholders, starting in 2018.\n10 stocks we like better than Constellation Brands\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 Constellation Brands wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of December 4, 2017\nDemitrios Kalogeropoulos owns shares of Costco Wholesale and McDonald\'s. The Motley Fool recommends Costco Wholesale and PriceSmart. 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': 'Several big-name earnings reports are on tap for the first trading week of 2018, including announcements from PriceSmart (NASDAQ: PSMT) , Sonic (NASDAQ: SONC) , and Constellation Brands (NYSE: STZ) . But short-term results can often be rocked by instability in one or more of its major markets, so shareholders must be prepared for volatility as areas like Trinidad, Colombia, and Jamaica turn in varied levels of economic growth. "Sales were slower than we would have liked," CEO Cliff Hudson told investors in mid-October after the fast-food chain posted surprisingly soft fourth-quarter revenue, while blaming intense competitive activity with reducing its customer traffic.', 'news_luhn_summary': "Several big-name earnings reports are on tap for the first trading week of 2018, including announcements from PriceSmart (NASDAQ: PSMT) , Sonic (NASDAQ: SONC) , and Constellation Brands (NYSE: STZ) . Sonic's customer traffic Sonic posts its results on Thursday afternoon. Constellation Brands' beer sales Constellation Brands shareholders trounced the market in 2017 as the alcoholic beverage giant announced sharply higher sales and profits.", 'news_article_title': '3 Things to Watch in the Stock Market This Week', 'news_lexrank_summary': "Several big-name earnings reports are on tap for the first trading week of 2018, including announcements from PriceSmart (NASDAQ: PSMT) , Sonic (NASDAQ: SONC) , and Constellation Brands (NYSE: STZ) . PriceSmart's Colombian business International warehouse club PriceSmart kicks off its fiscal 2018 by posting results after the market closes on Thursday. Constellation Brands' beer sales Constellation Brands shareholders trounced the market in 2017 as the alcoholic beverage giant announced sharply higher sales and profits.", 'news_textrank_summary': "Several big-name earnings reports are on tap for the first trading week of 2018, including announcements from PriceSmart (NASDAQ: PSMT) , Sonic (NASDAQ: SONC) , and Constellation Brands (NYSE: STZ) . PriceSmart's Colombian business International warehouse club PriceSmart kicks off its fiscal 2018 by posting results after the market closes on Thursday. Constellation Brands' beer sales Constellation Brands shareholders trounced the market in 2017 as the alcoholic beverage giant announced sharply higher sales and profits."}], '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': 86.75, 'high': 89.0999984741211, 'open': 87.0, 'close': 88.05000305175781, 'ema_50': 84.72640184714733, 'rsi_14': 62.28813093580905, 'target': 86.4000015258789, 'volume': 210200.0, 'ema_200': 85.47777640340217, 'adj_close': 85.7818832397461, 'rsi_lag_1': 55.94057536175394, 'rsi_lag_2': 46.706570959713176, 'rsi_lag_3': 38.9743597769245, 'rsi_lag_4': 42.0792262444772, 'rsi_lag_5': 40.284391720922095, 'macd_lag_1': 0.13881294253215515, 'macd_lag_2': -0.003318292721274929, 'macd_lag_3': 0.018955196722117762, 'macd_lag_4': 0.057290219569878786, 'macd_lag_5': 0.09520467362770546, 'macd_12_26_9': 0.40414333027685245, 'macds_12_26_9': 0.1680036089084058}, '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': 86.4000015258789, '2018-01-04': 87.8499984741211, '2018-01-05': 81.25, '2018-01-08': 82.0999984741211, '2018-01-09': 82.30000305175781, '2018-01-10': 82.3499984741211, '2018-01-11': 82.30000305175781, '2018-01-12': 83.0, '2018-01-16': 82.75}, '1_month_later': {'2018-02-02': 83.9000015258789}, '3_months_later': {'2018-04-02': 82.3499984741211}, '6_months_later': {'2018-07-02': 89.75}, '12_months_later': {'2019-01-02': 58.91999816894531}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PSMM
{'date': '2018-01-02', 'ticker': 'PSMM', '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': 13.170000076293944, 'high': 14.449999809265137, 'open': 14.449999809265137, 'close': 13.170000076293944, 'ema_50': 12.930988686369824, 'rsi_14': 52.97617104734699, 'target': 13.199999809265137, 'volume': 2900.0, 'ema_200': 12.663616579229071, 'adj_close': 12.029386520385742, 'rsi_lag_1': 58.3080870288016, 'rsi_lag_2': 51.748198116337434, 'rsi_lag_3': 61.56578194918391, 'rsi_lag_4': 61.56578194918391, 'rsi_lag_5': 60.51180841530474, 'macd_lag_1': 0.08993776650092755, 'macd_lag_2': 0.09114517816826506, 'macd_lag_3': 0.10052417836835126, 'macd_lag_4': 0.10492388966831179, 'macd_lag_5': 0.10901335551417546, 'macd_12_26_9': 0.08477597673908477, 'macds_12_26_9': 0.10146806638391719}, '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': 13.199999809265137, '2018-01-04': 13.239999771118164, '2018-01-05': 13.239999771118164, '2018-01-08': 13.239999771118164, '2018-01-10': 13.239999771118164, '2018-01-12': 13.239999771118164, '2018-01-16': 13.329999923706056}, '1_month_later': {'2018-02-02': 13.220000267028809}, '3_months_later': {'2018-04-02': 12.949999809265137}, '6_months_later': {'2018-07-02': 12.960000038146973}, '12_months_later': {'2019-01-02': 12.383999824523926}}
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.
PSMG
{'date': '2018-01-02', 'ticker': 'PSMG', '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': 13.78600025177002, 'high': 13.78600025177002, 'open': 13.78600025177002, 'close': 13.78600025177002, 'ema_50': 13.709661415662705, 'rsi_14': 39.30640617850894, 'target': 13.90999984741211, 'volume': 500.0, 'ema_200': 13.256719770099037, 'adj_close': 12.827095985412598, 'rsi_lag_1': 46.290704617552755, 'rsi_lag_2': 57.28151069877713, 'rsi_lag_3': 52.31487204846089, 'rsi_lag_4': 51.184864112380176, 'rsi_lag_5': 43.64401214724574, 'macd_lag_1': 0.02571436365631463, 'macd_lag_2': 0.027070092191753048, 'macd_lag_3': 0.027897645438395458, 'macd_lag_4': 0.02956622839704437, 'macd_lag_5': 0.03228409790100528, 'macd_12_26_9': 0.022045805243086747, 'macds_12_26_9': 0.03194977016502691}, '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': 13.90999984741211, '2018-01-04': 13.970000267028809, '2018-01-05': 14.0, '2018-01-08': 14.029999732971191, '2018-01-09': 14.022000312805176, '2018-01-10': 14.0600004196167, '2018-01-11': 13.989999771118164, '2018-01-12': 14.125, '2018-01-16': 14.18000030517578}, '1_month_later': {'2018-02-02': 14.071000099182127}, '3_months_later': {'2018-04-02': 13.5}, '6_months_later': {'2018-07-02': 13.795000076293944}, '12_months_later': {'2019-01-02': 12.774999618530272}}
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.
PSMC
{'date': '2018-01-02', 'ticker': 'PSMC', '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': 12.890000343322754, 'high': 12.890000343322754, 'open': 12.890000343322754, 'close': 12.890000343322754, 'ema_50': 12.831690677985502, 'rsi_14': 31.660428560645144, 'target': 12.899999618530272, 'volume': 100.0, 'ema_200': 12.656251096249354, 'adj_close': 11.421745300292969, 'rsi_lag_1': 43.630620643574176, 'rsi_lag_2': 39.635201346209264, 'rsi_lag_3': 52.18027728569408, 'rsi_lag_4': 46.55436805009918, 'rsi_lag_5': 48.025238380055185, 'macd_lag_1': 0.011332863199553955, 'macd_lag_2': 0.013898873160263392, 'macd_lag_3': 0.02053558746567319, 'macd_lag_4': 0.025144030887187085, 'macd_lag_5': 0.0362603802047321, 'macd_12_26_9': 0.00919330709700894, 'macds_12_26_9': 0.028821891300157772}, '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': {'2018-01-04': 12.899999618530272, '2018-01-08': 12.880000114440918, '2018-01-09': 12.902000427246094, '2018-01-10': 12.902000427246094, '2018-01-11': 12.902000427246094, '2018-01-16': 12.9399995803833}, '3_months_later': {'2018-04-02': 12.729999542236328}, '6_months_later': {'2018-07-02': 12.600000381469728}, '12_months_later': {'2019-01-02': 12.1850004196167}}
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.
PSMB
{'date': '2018-01-02', 'ticker': 'PSMB', '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': 13.470000267028809, 'high': 13.489999771118164, 'open': 13.489999771118164, 'close': 13.470000267028809, 'ema_50': 13.379414946790948, 'rsi_14': 40.90916972516834, 'target': 13.529999732971191, 'volume': 200.0, 'ema_200': 13.009110614840123, 'adj_close': 12.204004287719728, 'rsi_lag_1': 40.662746641311934, 'rsi_lag_2': 36.48655963172678, 'rsi_lag_3': 51.08687764981496, 'rsi_lag_4': 39.09092327779477, 'rsi_lag_5': 36.79241378689863, 'macd_lag_1': 0.018791533242199066, 'macd_lag_2': 0.020485840828698088, 'macd_lag_3': 0.022350417554319435, 'macd_lag_4': 0.023387090480380124, 'macd_lag_5': 0.026406399388115176, 'macd_12_26_9': 0.017249935751440404, 'macds_12_26_9': 0.027963473548815343}, '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': 13.529999732971191, '2018-01-04': 13.579999923706056, '2018-01-05': 13.600000381469728, '2018-01-08': 13.630000114440918, '2018-01-09': 13.640000343322756, '2018-01-10': 13.59000015258789, '2018-01-11': 13.590999603271484, '2018-01-12': 13.6899995803833, '2018-01-16': 13.720000267028809}, '3_months_later': {'2018-04-02': 13.145000457763672}, '6_months_later': {'2018-07-02': 13.399999618530272}, '12_months_later': {'2019-01-02': 12.520999908447266}}
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.
PSL
{'date': '2018-01-02', 'ticker': 'PSL', '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': 64.5999984741211, 'high': 64.79000091552734, 'open': 64.79000091552734, 'close': 64.69999694824219, 'ema_50': 63.61613465905833, 'rsi_14': 51.70060965904766, 'target': 64.69999694824219, 'volume': 1600.0, 'ema_200': 61.03012391967058, 'adj_close': 63.56117630004883, 'rsi_lag_1': 52.29363416994329, 'rsi_lag_2': 54.93970942128766, 'rsi_lag_3': 58.25889854104969, 'rsi_lag_4': 58.62829692495181, 'rsi_lag_5': 58.49884717148598, 'macd_lag_1': 0.5913353238394734, 'macd_lag_2': 0.6303297692173828, 'macd_lag_3': 0.6444602603423846, 'macd_lag_4': 0.663303600774725, 'macd_lag_5': 0.684833744570085, 'macd_12_26_9': 0.5237314762809717, 'macds_12_26_9': 0.6252766477888445}, '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': 64.69999694824219, '2018-01-04': 65.0, '2018-01-05': 64.87000274658203, '2018-01-08': 65.25, '2018-01-09': 65.37999725341797, '2018-01-10': 64.7699966430664, '2018-01-11': 65.05000305175781, '2018-01-12': 65.26000213623047, '2018-01-16': 65.1500015258789}, '1_month_later': {'2018-02-02': 65.54000091552734}, '3_months_later': {'2018-04-02': 65.5199966430664}, '6_months_later': {'2018-07-02': 70.55000305175781}, '12_months_later': {'2019-01-02': 65.1500015258789}}
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.
PSJ
{'date': '2018-01-02', 'ticker': 'PSJ', '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': 63.47000122070313, 'high': 64.05000305175781, 'open': 63.47000122070313, 'close': 64.01999664306639, 'ema_50': 63.9142815797803, 'rsi_14': 51.115586956975775, 'target': 64.79000091552734, 'volume': 8200.0, 'ema_200': 59.37262865673038, 'adj_close': 63.93960189819336, 'rsi_lag_1': 50.61476803440739, 'rsi_lag_2': 53.46939093269385, 'rsi_lag_3': 60.28880145536876, 'rsi_lag_4': 62.648564243288256, 'rsi_lag_5': 66.77631826612023, 'macd_lag_1': -0.19470306331937337, 'macd_lag_2': -0.16852317508195824, 'macd_lag_3': -0.14589334393853903, 'macd_lag_4': -0.1230326179418455, 'macd_lag_5': -0.0767919589975179, 'macd_12_26_9': -0.17151431974717468, 'macds_12_26_9': -0.14598013100047916}, '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': 64.79000091552734, '2018-01-04': 65.18000030517578, '2018-01-05': 65.68000030517578, '2018-01-08': 65.97000122070311, '2018-01-09': 65.77999877929689, '2018-01-10': 65.58000183105469, '2018-01-11': 67.04000091552734, '2018-01-12': 67.51000213623047, '2018-01-16': 66.45999908447266}, '1_month_later': {'2018-02-02': 67.15000152587889}, '3_months_later': {'2018-04-02': 67.91000366210939}, '6_months_later': {'2018-07-02': 77.25}, '12_months_later': {'2019-01-02': 73.5}}
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.
PSI
{'date': '2018-01-02', 'ticker': 'PSI', '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': 50.72999954223633, 'high': 51.81999969482422, 'open': 50.75, 'close': 51.810001373291016, 'ema_50': 51.16140943948524, 'rsi_14': 61.96769999568676, 'target': 52.619998931884766, 'volume': 118100.0, 'ema_200': 46.62555654448614, 'adj_close': 50.99984359741211, 'rsi_lag_1': 53.164576172156586, 'rsi_lag_2': 54.545467413374936, 'rsi_lag_3': 60.42003559561016, 'rsi_lag_4': 60.03262094548469, 'rsi_lag_5': 68.74997930396421, 'macd_lag_1': -0.2955064191223613, 'macd_lag_2': -0.2759015542755421, 'macd_lag_3': -0.2886109431817303, 'macd_lag_4': -0.2945255369315376, 'macd_lag_5': -0.2764089765432516, 'macd_12_26_9': -0.20060416238140277, 'macds_12_26_9': -0.3292303371671283}, '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': 52.619998931884766, '2018-01-04': 52.97999954223633, '2018-01-05': 53.400001525878906, '2018-01-08': 53.84999847412109, '2018-01-09': 53.09999847412109, '2018-01-10': 52.40999984741211, '2018-01-11': 52.7400016784668, '2018-01-12': 53.040000915527344, '2018-01-16': 53.04999923706055}, '1_month_later': {'2018-02-02': 51.84000015258789}, '3_months_later': {'2018-04-02': 50.90999984741211}, '6_months_later': {'2018-07-02': 52.77000045776367}, '12_months_later': {'2019-01-02': 44.7400016784668}}
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.
PSET
{'date': '2018-01-02', 'ticker': 'PSET', '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': 32.18000030517578, 'high': 32.18000030517578, 'open': 32.18000030517578, 'close': 32.18000030517578, 'ema_50': 31.538248196485323, 'rsi_14': 86.66649712629062, 'target': 32.42499923706055, 'volume': 0.0, 'ema_200': 29.7811311560077, 'adj_close': 29.928451538085938, 'rsi_lag_1': 86.66649712629062, 'rsi_lag_2': 100.0, 'rsi_lag_3': 100.0, 'rsi_lag_4': 78.94744767354314, 'rsi_lag_5': 78.94744767354314, 'macd_lag_1': 0.2281138020771003, 'macd_lag_2': 0.24435227781340174, 'macd_lag_3': 0.25745144231311556, 'macd_lag_4': 0.27042599129547895, 'macd_lag_5': 0.2830527648504848, 'macd_12_26_9': 0.21279176208908623, 'macds_12_26_9': 0.25850892019570104}, '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': 32.42499923706055, '2018-01-04': 33.0, '2018-01-05': 32.83000183105469, '2018-01-08': 32.90999984741211, '2018-01-09': 33.025001525878906, '2018-01-10': 32.869998931884766, '2018-01-11': 32.97999954223633, '2018-01-12': 33.22999954223633, '2018-01-16': 33.22999954223633}, '1_month_later': {'2018-02-02': 33.95000076293945}, '3_months_later': {'2018-04-02': 32.7400016784668}, '6_months_later': {'2018-07-02': 33.5}, '12_months_later': {'2019-01-02': 31.020000457763672}}
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.
psec
{'date': '2018-01-02', 'ticker': 'psec', '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': 6.710000038146973, 'high': 6.989999771118164, 'open': 6.769999980926514, 'close': 6.940000057220459, 'ema_50': 6.744426673257784, 'rsi_14': 54.40000366210797, 'target': 7.010000228881836, 'volume': 3431100.0, 'ema_200': 7.30023844255569, 'adj_close': 3.5959906578063965, 'rsi_lag_1': 49.107122330030954, 'rsi_lag_2': 63.63635925769478, 'rsi_lag_3': 70.00000529819009, 'rsi_lag_4': 71.59091278541139, 'rsi_lag_5': 86.30138328496376, 'macd_lag_1': 0.10650383194649926, 'macd_lag_2': 0.13423939482107272, 'macd_lag_3': 0.14630566362680142, 'macd_lag_4': 0.1493966709546264, 'macd_lag_5': 0.14913251612664702, 'macd_12_26_9': 0.09951440998801075, 'macds_12_26_9': 0.12175960756294413}, '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': 7.010000228881836, '2018-01-04': 6.909999847412109, '2018-01-05': 6.900000095367432, '2018-01-08': 6.869999885559082, '2018-01-09': 6.769999980926514, '2018-01-10': 6.71999979019165, '2018-01-11': 6.849999904632568, '2018-01-12': 6.849999904632568, '2018-01-16': 6.760000228881836}, '1_month_later': {'2018-02-02': 6.389999866485596}, '3_months_later': {'2018-04-02': 6.559999942779541}, '6_months_later': {'2018-07-02': 6.679999828338623}, '12_months_later': {'2019-01-02': 6.360000133514404}}
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.
PIXY
{'date': '2018-01-02', 'ticker': 'PIXY', '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': 111.1999969482422, 'high': 127.5999984741211, 'open': 115.1999969482422, 'close': 127.1999969482422, 'ema_50': 121.738848861534, 'rsi_14': 61.334196032435145, 'target': 124.8000030517578, 'volume': 2500.0, 'ema_200': 189.02754036871247, 'adj_close': 127.1999969482422, 'rsi_lag_1': 59.40616355435693, 'rsi_lag_2': 61.067101072852445, 'rsi_lag_3': 65.23083999952067, 'rsi_lag_4': 63.71454912269065, 'rsi_lag_5': 63.86300206884213, 'macd_lag_1': 5.336769908073563, 'macd_lag_2': 6.788693100219774, 'macd_lag_3': 7.769311635288858, 'macd_lag_4': 8.05265719953077, 'macd_lag_5': 7.971361743894434, 'macd_12_26_9': 5.095670314134836, 'macds_12_26_9': 5.002665703849725}, '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': 124.8000030517578, '2018-01-04': 126.0, '2018-01-05': 124.4000015258789, '2018-01-08': 124.8000030517578, '2018-01-09': 140.0, '2018-01-10': 132.0, '2018-01-11': 131.60000610351562, '2018-01-12': 134.8000030517578, '2018-01-16': 130.39999389648438}, '1_month_later': {'2018-02-02': 120.8000030517578}, '3_months_later': {'2018-04-02': 116.0}, '6_months_later': {'2018-07-02': 104.0}, '12_months_later': {'2019-01-02': 67.19999694824219}}
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.
PIPR
{'date': '2018-01-02', 'ticker': 'PIPR', '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': 84.80000305175781, 'high': 86.6500015258789, 'open': 86.6500015258789, 'close': 85.80000305175781, 'ema_50': 76.11306196629782, 'rsi_14': 79.43265404623308, 'target': 86.4000015258789, 'volume': 71900.0, 'ema_200': 66.35880603312866, 'adj_close': 79.4967041015625, 'rsi_lag_1': 82.86714872362323, 'rsi_lag_2': 82.29169095005076, 'rsi_lag_3': 85.36586273574699, 'rsi_lag_4': 84.10296275804075, 'rsi_lag_5': 75.08897338237865, 'macd_lag_1': 3.259612648169096, 'macd_lag_2': 3.2286441863375615, 'macd_lag_3': 3.1268821878909137, 'macd_lag_4': 2.9056970796832218, 'macd_lag_5': 2.6971924309941926, 'macd_12_26_9': 3.2108319127281106, 'macds_12_26_9': 2.920106015218341}, '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': 86.4000015258789, '2018-01-04': 88.4000015258789, '2018-01-05': 88.30000305175781, '2018-01-08': 88.0999984741211, '2018-01-09': 88.25, '2018-01-10': 89.94999694824219, '2018-01-11': 90.8499984741211, '2018-01-12': 91.9000015258789, '2018-01-16': 91.4000015258789}, '1_month_later': {'2018-02-02': 92.1999969482422}, '3_months_later': {'2018-04-02': 81.69000244140625}, '6_months_later': {'2018-07-02': 77.44999694824219}, '12_months_later': {'2019-01-02': 66.83000183105469}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pcar
{'date': '2018-01-02', 'ticker': 'pcar', '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': 48.30666732788086, 'high': 49.04666519165039, 'open': 48.380001068115234, 'close': 48.68000030517578, 'ema_50': 46.95293584112274, 'rsi_14': 57.322636484338396, 'target': 49.27333450317383, 'volume': 3377250.0, 'ema_200': 45.361035483848134, 'adj_close': 38.15450668334961, 'rsi_lag_1': 43.66998403852241, 'rsi_lag_2': 51.48248685164336, 'rsi_lag_3': 54.54544797745291, 'rsi_lag_4': 56.396888880256775, 'rsi_lag_5': 54.796292174708114, 'macd_lag_1': 0.22394127075797599, 'macd_lag_2': 0.22812207131403994, 'macd_lag_3': 0.20570361936078285, 'macd_lag_4': 0.2148248979483185, 'macd_lag_5': 0.20229959353797966, 'macd_12_26_9': 0.3212856971690812, 'macds_12_26_9': 0.207692614614084}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 49.27333450317383, '2018-01-04': 49.900001525878906, '2018-01-05': 50.06666564941406, '2018-01-08': 49.90666580200195, '2018-01-09': 49.88666534423828, '2018-01-10': 49.40666580200195, '2018-01-11': 50.380001068115234, '2018-01-12': 50.93333435058594, '2018-01-16': 50.64666748046875}, '1_month_later': {'2018-02-02': 48.400001525878906}, '3_months_later': {'2018-04-02': 42.93999862670898}, '6_months_later': {'2018-07-02': 40.573333740234375}, '12_months_later': {'2019-01-02': 38.573333740234375}}
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.
PBYI
{'date': '2018-01-02', 'ticker': 'PBYI', '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': 91.0999984741211, 'high': 99.8000030517578, 'open': 99.5, 'close': 92.6500015258789, 'ema_50': 103.88962570592969, 'rsi_14': 36.50794304356985, 'target': 96.1999969482422, 'volume': 985100.0, 'ema_200': 89.37919344946292, 'adj_close': 92.6500015258789, 'rsi_lag_1': 46.30350183001424, 'rsi_lag_2': 41.03449273760943, 'rsi_lag_3': 51.558071021644814, 'rsi_lag_4': 55.17693688043693, 'rsi_lag_5': 48.68735318201161, 'macd_lag_1': -2.4526013893962073, 'macd_lag_2': -2.6361587828458823, 'macd_lag_3': -2.928828376094188, 'macd_lag_4': -3.1935980888257234, 'macd_lag_5': -3.3476337962368916, 'macd_12_26_9': -2.7754253945088436, 'macds_12_26_9': -3.000082469047415}, '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': 96.1999969482422, '2018-01-04': 95.6999969482422, '2018-01-05': 95.3499984741211, '2018-01-08': 92.5500030517578, '2018-01-09': 93.8000030517578, '2018-01-10': 96.0500030517578, '2018-01-11': 95.6999969482422, '2018-01-12': 99.25, '2018-01-16': 90.8499984741211}, '1_month_later': {'2018-02-02': 64.3499984741211}, '3_months_later': {'2018-04-02': 64.4000015258789}, '6_months_later': {'2018-07-02': 59.5}, '12_months_later': {'2019-01-02': 21.68000030517578}}
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.
PBW
{'date': '2018-01-02', 'ticker': 'PBW', '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': 25.36000061035156, 'high': 25.81999969482422, 'open': 25.40999984741211, 'close': 25.81999969482422, 'ema_50': 24.747167808837965, 'rsi_14': 65.70250832495913, 'target': 25.799999237060547, 'volume': 13100.0, 'ema_200': 22.822968481296876, 'adj_close': 24.62851905822754, 'rsi_lag_1': 62.780286701563455, 'rsi_lag_2': 68.20280143165539, 'rsi_lag_3': 72.83466872920881, 'rsi_lag_4': 68.99565973885143, 'rsi_lag_5': 78.50877046218105, 'macd_lag_1': 0.2078642891125675, 'macd_lag_2': 0.21473336587192549, 'macd_lag_3': 0.20612292794061915, 'macd_lag_4': 0.19620754688285302, 'macd_lag_5': 0.20818874860217917, 'macd_12_26_9': 0.23680879367086405, 'macds_12_26_9': 0.1987862856851741}, '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': 25.799999237060547, '2018-01-04': 25.690000534057617, '2018-01-05': 25.63999938964844, '2018-01-08': 25.709999084472656, '2018-01-09': 25.5, '2018-01-10': 25.489999771118164, '2018-01-11': 26.209999084472656, '2018-01-12': 26.1200008392334, '2018-01-16': 25.600000381469727}, '1_month_later': {'2018-02-02': 24.190000534057617}, '3_months_later': {'2018-04-02': 24.36000061035156}, '6_months_later': {'2018-07-02': 25.11000061035156}, '12_months_later': {'2019-01-02': 21.65999984741211}}
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.
PBT
{'date': '2018-01-02', 'ticker': 'PBT', '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': 8.829999923706055, 'high': 9.029999732971191, 'open': 8.880000114440918, 'close': 8.859999656677246, 'ema_50': 9.06394024659874, 'rsi_14': 44.6601779940669, 'target': 9.06999969482422, 'volume': 115500.0, 'ema_200': 8.887312729941787, 'adj_close': 7.199945449829102, 'rsi_lag_1': 40.350884531182224, 'rsi_lag_2': 35.93753143209669, 'rsi_lag_3': 41.84399801419557, 'rsi_lag_4': 40.68968329500011, 'rsi_lag_5': 38.57145192669255, 'macd_lag_1': -0.09018223047534768, 'macd_lag_2': -0.08933037205419403, 'macd_lag_3': -0.08898015032088935, 'macd_lag_4': -0.08622067818137857, 'macd_lag_5': -0.08653539784276987, 'macd_12_26_9': -0.09061966224915885, 'macds_12_26_9': -0.08182457073483669}, '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': 9.06999969482422, '2018-01-04': 9.020000457763672, '2018-01-05': 8.789999961853027, '2018-01-08': 8.710000038146973, '2018-01-09': 8.920000076293945, '2018-01-10': 8.899999618530273, '2018-01-11': 9.300000190734863, '2018-01-12': 9.369999885559082, '2018-01-16': 9.399999618530272}, '1_month_later': {'2018-02-02': 9.229999542236328}, '3_months_later': {'2018-04-02': 9.5}, '6_months_later': {'2018-07-02': 9.210000038146973}, '12_months_later': {'2019-01-02': 6.190000057220459}}
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.
PBS
{'date': '2018-01-02', 'ticker': 'PBS', '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/4134435-just-beginning-tech-march?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Just The Beginning? Tech On The March', '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': 28.14999961853028, 'high': 28.559999465942383, 'open': 28.14999961853028, 'close': 28.520000457763672, 'ema_50': 27.921943460720687, 'rsi_14': 62.55924299140617, 'target': 28.61000061035156, 'volume': 28800.0, 'ema_200': 27.54466842520819, 'adj_close': 28.12290000915528, 'rsi_lag_1': 57.526889990227474, 'rsi_lag_2': 60.79540590127998, 'rsi_lag_3': 62.63731311687428, 'rsi_lag_4': 63.33336512245703, 'rsi_lag_5': 65.51718090068343, 'macd_lag_1': 0.16682513276546374, 'macd_lag_2': 0.1921996831118733, 'macd_lag_3': 0.2085549265216109, 'macd_lag_4': 0.22537843314720973, 'macd_lag_5': 0.23237305134049535, 'macd_12_26_9': 0.17775018647262897, 'macds_12_26_9': 0.1851542848653392}, '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': 28.61000061035156, '2018-01-04': 28.6200008392334, '2018-01-05': 28.8799991607666, '2018-01-08': 28.90999984741211, '2018-01-09': 28.88999938964844, '2018-01-10': 28.920000076293945, '2018-01-11': 29.26000022888184, '2018-01-12': 29.489999771118164, '2018-01-16': 29.190000534057617}, '1_month_later': {'2018-02-02': 30.280000686645508}, '3_months_later': {'2018-04-02': 28.729999542236328}, '6_months_later': {'2018-07-02': 32.72999954223633}, '12_months_later': {'2019-01-02': 28.75}}
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.
PBR-A
{'date': '2018-01-02', 'ticker': 'PBR-A', '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': 9.979999542236328, 'high': 10.220000267028809, 'open': 9.989999771118164, 'close': 10.220000267028809, 'ema_50': 9.636523091202228, 'rsi_14': 69.56522820802536, 'target': 10.449999809265137, 'volume': 4033300.0, 'ema_200': 9.180909854640007, 'adj_close': 9.769596099853516, 'rsi_lag_1': 63.73056764394437, 'rsi_lag_2': 63.35079239856599, 'rsi_lag_3': 52.582151426459355, 'rsi_lag_4': 54.95496037311855, 'rsi_lag_5': 47.867295579291444, 'macd_lag_1': -0.007180090451290866, 'macd_lag_2': -0.0358738787619064, 'macd_lag_3': -0.06484854322336453, 'macd_lag_4': -0.09172384788015187, 'macd_lag_5': -0.125710549522708, 'macd_12_26_9': 0.04649376071754574, 'macds_12_26_9': -0.06486033228829449}, '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': 10.449999809265137, '2018-01-04': 10.399999618530272, '2018-01-05': 10.489999771118164, '2018-01-08': 10.550000190734863, '2018-01-09': 10.489999771118164, '2018-01-10': 10.420000076293944, '2018-01-11': 10.75, '2018-01-12': 10.81999969482422, '2018-01-16': 10.989999771118164}, '1_month_later': {'2018-02-02': 12.359999656677246}, '3_months_later': {'2018-04-02': 12.579999923706056}, '6_months_later': {'2018-07-02': 8.930000305175781}, '12_months_later': {'2019-01-02': 12.710000038146973}}
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.
PBR
{'date': '2018-01-02', 'ticker': 'PBR', '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/foreign-stock-roundup-roche-buy-ignyta-17b-shell-acquire-first-utility-2018-01-02', 'news_author': None, 'news_article': 'Global markets traversed a holiday-shortened week marked by thin trading volumes. Europe, in particular, witnessed little trading action with markets remaining closed both on Monday and Tuesday. Only the FTSE 100 managed to hit a fresh record. In Asia, the Nikkei slipped from a 26-year high logged during the preceding week but still managed to post considerable yearly gains. Argentina\'s legislature passed crucial structural reforms while Mexico\'s stocks experienced their highest gains in five years.\nEurope\'s Stocks Post Strong Yearly Gains, FTSE 100 Hits Record High\nMarkets across Europe remained closed on last Monday and Tuesday from the Christmas and Boxing Day holidays. Stocks across Europe ended mixed last Wednesday even as trading volumes remained low amid the holiday season. The STOXX 600 gained 0.1% with major exchanges finishing mixed. The FTSE 100 gained 0.3% to hit a record level.\nThe STOXX 600 declined by 0.3% last Thursday with the majority of indexes closing with losses or ending flat. Trading volumes continued to remain low during the period between Christmas holidays and the New Year. Telecom and tech companies suffered the sharpest declines during this trading session.\nMost European stocks closed with losses on the last trading day of the year. The STOXX 600 declined by 0.4% with only the FTSE 100 ending with notable gains. Britain\'s benchmark gained nearly 0.9% to close at a record high, posting an increase of 7.6% over 2017. Both the CAC and the DAX lost around 0.5%.\nItaly\'s benchmark FTSE MIB declined by more than 1% following the dissolution of parliament and call for fresh elections in March. Overall, most European stocks posted their strongest yearly gains in 2017 since 2013.\nAsia\'s Stocks Remain Mixed, Nikkei Slips from 26-year High\nStocks across Asia closed mixed on last Tuesday after a session marked by low trading volumes. The Nikkei lost 0.2% after touching a 26-year high in the previous session. Retailers trended higher even as tech and auto stocks suffered losses. South Korea\'s Kospi also lost out on early gains to decline by 0.5%. The Shanghai Composite and the Shenzhen Composite rebounded, gaining 0.8% and 0.4%, respectively.\nAsia\'s bourses ended mixed last Wednesday even as Japan and Australian energy stocks moved higher after oil prices touch a record high. The Nikkei 225 inched up 0.1% with major exporters ending the session mixed. The Kospi overcame early losses to end 0.4% higher while the S&P/ASX 200 ended flat. However, the Shanghai Composite declined by 0.9% after healthcare, financial and tech stocks moved lower. Insurers in particular suffered heavy losses.\nStocks across Asia gained last Thursday after oil and copper prices moved significantly higher during last week. Trading volumes remained low ahead of the New Year holidays. The Nikkei 225 lost 0.6% after the dollar declined versus the yen. The Kospi emerged as the region\'s leading index, gaining 1.3%. Meanwhile, the S&P/ASX 200 added 0.3%. Also, the Shanghai Composite and the Shenzhen Composite increased by 0.7% and 0.5%, respectively.\nOn the last trading day of the year, Asia\'s markets closed mostly mixed. The Nikkei slipped by 0.1% but still managed to log a yearly gain of around 19%. The S&P/ASX 200 lost 0.4% with nearly all of its sectors closing in the red.\nThe Hang Seng also finished in the green, ending the year more than 35% higher. The Shanghai Composite and the Shenzhen Composite increased by 0.4% and 0.3%, respectively. Though South Korea\'s markets were closed, the Kospi still posted a yearly increase of 21.6%.\nArgentina\'s Stocks Up on Reforms; Mexico, Chile Post Strong Yearly Gains\nMarkets were closed for the Christmas Day holiday on last Monday. Shares from Argentina touched a new record level on last Tuesday after the country\'s Congress passed a crucial law which is favorable for the business environment. As a result, the benchmark Merval index gained 1.8%, moving higher for the sixth successive session. Trading volumes remained low across the region even as the Bovespa gained 0.5%.\nLast Wednesday, Argentina\'s Senate approved a new tax reform and budget package. These legislations are part of President Mauricio Macri\'s wider efforts to cut the cost of conducting business and attract a higher level of foreign investments.\nMuted trading continued on last Thursday ahead of the New Year holiday. The Bovespa gained 0.4% with loyalty program manager Smiles Fidelidade SA leading gains after revealing that it would undertake cuts in ticket prices.\nMexico\'s S&P/BMV IPC increased by more than 1% on the last trading day of 2017. These were its largest gains in five years. A jump in corporate earnings boosted the index by more than 8% over 2017.\nMeanwhile, Chiles\'s IPSA index advanced by 0.3%, logging a 34% increase over 2017. The index\'s best yearly performance since 2010 was fueled by the election of a business friendly president even as fears over the Trump administration\'s policies ebbed. The Bovespa added 0.4%.\nStocks in the News\nRoche Holdings AGRHHBY entered into a definitive merger agreement with Ignyta, Inc. RXDX at a price of $27 per share or total value of $1.7 billion in an all-cash transaction. The price of $27 per share represents a premium of 74% to the closing price of Dec 21, 2017.\nThe acquisition adds an important mid-stage candidate to Roche\'s pipeline. The lead candidate of Ignyta is entrectinib, an orally bioavailable, CNS-active tyrosine kinase inhibitor being developed for tumors that harbor ROS1 or NTRK fusions.\nPer the terms of the agreement, Zacks Rank #2 (Buy) Roche will start a tender offer to acquire all outstanding shares of Ignyta common stock. The closing of the transaction is expected to take place in the first half of 2018. (Read: Roche Clinches $1.7-Billion Deal to Acquire Ignyta )\nPetróleo Brasileiro S.A. or Petrobras PBR recently announced its Business and Management Plan ("BMP") for 2018-2022, which shows marginally higher investments than the 2017-2021 period. The new five-year plan forecasts $74.5 billion in investment compared with $74.1 billion for 2017-2021, projected earlier.\nNotably, the BMP 2018-2022 focuses on increasing production and supporting company\'s finances. While around $60.3 billion will be used in exploration and production, nearly $13.1 billion is likely to be spent on refining and natural gas. Petrobras intends to boost average production from an expected 2.7 million barrels of oil equivalent per day (Boe/d) in 2018 to 3.55 million Boe/d by 2022.\nZacks Rank #2 Petrobras happens to be the world\'s most indebted oil company that had net debt of $88,143 million at the end of September 2017. It has plans to reduce debt and has a target of achieving a net debt to adjusted earnings before interest, tax, depreciation and amortization (EBITDA) ratio of 2.5 in 2018, which was as high as 5.3 in 2015.\nFurthermore, Petrobras has plans to reduce its operating expenses to $136.8 billion from $153 billion projected in the five-year plan earlier. The company expects these initiatives to help in reducing its debt without drawing new funds. (Read: Petrobras Unveils 5-Year Business and Management Plan )\nNintendo Co., LtdNTDOY has reportedly delayed the launch of 64 gigabyte (GB) game cards for the Switch system. According to a recent report from The Wall Street Journal, the company has informed developers that it expects to launch the cards in 2019 instead of second-half 2018.\nPer the report, Nintendo is witnessing "technical issues" with the 64 GB cards. Currently, the Switch game cards have a capacity of 32 GB, which is not sufficient for certain titles. Moreover, rival consoles - PS4 and Xbox One - has 50-GB capacity that provides a competitive advantage to these devices.\nThe high capacity game cards will replace discs and improve the portability feature of the consoles, which has been a key attraction for gamers. Moreover, Nintendo targets to sell around 25-30 million units of Switch Console in 2018. The stock has a Zacks Rank #1 (Strong Buy). You can see the complete list of today\'s Zacks #1 Rank stocks here .\nRoyal Dutch Shell, plcRDS.A recently inked a deal to acquire UK\'s energy supplier First Utility in a bid to lower its carbon footprint. The move will enable Shell to expand its energy supply business from commercial and industrial customers and venture into the residential sector.\nThe purchase price of the transaction has been kept under wraps. Subject to regulatory approvals and satisfactory closing conditions, the deal is set for completion by the end of the first quarter of 2018.\nFirst Utility will operate as a stand-alone entity and subsidiary of Zacks Rank #3 Shell within its New Energies division in which the company will invest approximately $1 billion per year till 2020 to shift its focus on cleaner and renewable energy sources. The new business will serve as a hedge for reduced gasoline and diesel fuel demand. (Read: Shell Boosts Power Market Presence With First Utility Buyout )\nThe Royal Bank of Scotland Group plcRBS , headquartered at Edinburgh, the U.K, has agreed for a $125-million (£93.55 million) settlement announced by the California Attorney General Xavier Becerra, Reuters reported. The bank had been charged for misguiding investors in mortgage-backed securities (MBS) during the financial crisis.\nThe bank has been accused by two large California pension funds - the California Public Employees\' Retirement System and the California State Teachers\' Retirement System - of providing fraudulent details regarding MBS sold to them.\nThe plaintiffs accused Zacks Rank #3 (Hold) Royal Bank of Scotland of having concealed the risks involved in these investments as such securities were sold without meeting the required underwriting guidelines. Gradually, these MBS plunged to a junk status, leaving investors suffering millions of dollars in losses. (Read: Royal Bank of Scotland to Pay $125M for MBS Suit Settlement )\nBarclaysBCS is joining the list of major foreign banks which are expected to be hurt in the near term by the recent U.S. corporate tax overhaul. The bank is anticipated to record a one-time charge of $1.3 billion (£1 billion) in fourth-quarter 2017 due to the write-down of deferred tax assets (DTAs).\nFor the nine months ended Sep 30, 2017, Zacks Rank #3 Barclays incurred a net loss of £628 million, mainly owing to the write-offs resulting from its exit from Africa. This one-time charge is likely to push the company further into the red. Additionally, the bank estimates the charge to lower its common equity tier 1 capital ratio by 20 basis points. (Read: Barclays to Record $1.3B Charge in Q4 From the Tax Act )\nPerformance of Leading Foreign Stocks\nThe table given below shows the price movements of 10 of the largest stocks listed on indexes worldwide, over the last five days and during the last six months.\nNext Week\'s Outlook\nLast week was a particularly quiet one for stocks across the world. Trading volumes remained low as investors remained reluctant to place big bets before the New Year commenced. However, the majority of major indexes posted strong yearly gains with the Hang Seng leading the pack. Meanwhile, most of the world\'s economies remain on a strong footing. Given this backdrop, it is likely that the world\'s indexes will continue to notch up gains in the year ahead.\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\nPetroleo Brasileiro S.A.- Petrobras (PBR): Free Stock Analysis Report\nRoche Holding AG (RHHBY): Free Stock Analysis Report\nBarclays PLC (BCS): Free Stock Analysis Report\nRoyal Bank Scotland PLC (The) (RBS): Free Stock Analysis Report\nIgnyta, Inc. (RXDX): Free Stock Analysis Report\nRoyal Dutch Shell PLC (RDS.A): Free Stock Analysis Report\nNintendo Co. (NTDOY): 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': '(Read: Roche Clinches $1.7-Billion Deal to Acquire Ignyta ) Petróleo Brasileiro S.A. or Petrobras PBR recently announced its Business and Management Plan ("BMP") for 2018-2022, which shows marginally higher investments than the 2017-2021 period. Click to get this free report Petroleo Brasileiro S.A.- Petrobras (PBR): Free Stock Analysis Report Roche Holding AG (RHHBY): Free Stock Analysis Report Barclays PLC (BCS): Free Stock Analysis Report Royal Bank Scotland PLC (The) (RBS): Free Stock Analysis Report Ignyta, Inc. (RXDX): Free Stock Analysis Report Royal Dutch Shell PLC (RDS.A): Free Stock Analysis Report Nintendo Co. (NTDOY): Free Stock Analysis Report To read this article on Zacks.com click here. (Read: Shell Boosts Power Market Presence With First Utility Buyout ) The Royal Bank of Scotland Group plcRBS , headquartered at Edinburgh, the U.K, has agreed for a $125-million (£93.55 million) settlement announced by the California Attorney General Xavier Becerra, Reuters reported.', 'news_luhn_summary': 'Click to get this free report Petroleo Brasileiro S.A.- Petrobras (PBR): Free Stock Analysis Report Roche Holding AG (RHHBY): Free Stock Analysis Report Barclays PLC (BCS): Free Stock Analysis Report Royal Bank Scotland PLC (The) (RBS): Free Stock Analysis Report Ignyta, Inc. (RXDX): Free Stock Analysis Report Royal Dutch Shell PLC (RDS.A): Free Stock Analysis Report Nintendo Co. (NTDOY): Free Stock Analysis Report To read this article on Zacks.com click here. (Read: Roche Clinches $1.7-Billion Deal to Acquire Ignyta ) Petróleo Brasileiro S.A. or Petrobras PBR recently announced its Business and Management Plan ("BMP") for 2018-2022, which shows marginally higher investments than the 2017-2021 period. Europe\'s Stocks Post Strong Yearly Gains, FTSE 100 Hits Record High Markets across Europe remained closed on last Monday and Tuesday from the Christmas and Boxing Day holidays.', 'news_article_title': 'Foreign Stock Roundup: Roche to Buy Ignyta for $1.7B; Shell to Acquire First Utility', 'news_lexrank_summary': '(Read: Roche Clinches $1.7-Billion Deal to Acquire Ignyta ) Petróleo Brasileiro S.A. or Petrobras PBR recently announced its Business and Management Plan ("BMP") for 2018-2022, which shows marginally higher investments than the 2017-2021 period. Click to get this free report Petroleo Brasileiro S.A.- Petrobras (PBR): Free Stock Analysis Report Roche Holding AG (RHHBY): Free Stock Analysis Report Barclays PLC (BCS): Free Stock Analysis Report Royal Bank Scotland PLC (The) (RBS): Free Stock Analysis Report Ignyta, Inc. (RXDX): Free Stock Analysis Report Royal Dutch Shell PLC (RDS.A): Free Stock Analysis Report Nintendo Co. (NTDOY): Free Stock Analysis Report To read this article on Zacks.com click here. Asia\'s bourses ended mixed last Wednesday even as Japan and Australian energy stocks moved higher after oil prices touch a record high.', 'news_textrank_summary': 'Click to get this free report Petroleo Brasileiro S.A.- Petrobras (PBR): Free Stock Analysis Report Roche Holding AG (RHHBY): Free Stock Analysis Report Barclays PLC (BCS): Free Stock Analysis Report Royal Bank Scotland PLC (The) (RBS): Free Stock Analysis Report Ignyta, Inc. (RXDX): Free Stock Analysis Report Royal Dutch Shell PLC (RDS.A): Free Stock Analysis Report Nintendo Co. (NTDOY): Free Stock Analysis Report To read this article on Zacks.com click here. (Read: Roche Clinches $1.7-Billion Deal to Acquire Ignyta ) Petróleo Brasileiro S.A. or Petrobras PBR recently announced its Business and Management Plan ("BMP") for 2018-2022, which shows marginally higher investments than the 2017-2021 period. Europe\'s Stocks Post Strong Yearly Gains, FTSE 100 Hits Record High Markets across Europe remained closed on last Monday and Tuesday from the Christmas and Boxing Day holidays.'}, {'news_url': 'https://www.nasdaq.com/articles/how-will-bps-shareholders-benefit-new-tax-bill-2018-01-02', 'news_author': None, 'news_article': "The year 2017 has ended on a good note for the US corporate sector with the passing of the new tax act in the country. The new law not only entails the reduction of corporate tax from 35% to 21%, it also includes a number of other provisions that will particularly favor the oil and gas industry in the US. As a result, most of the oil and gas companies are likely to witness a surge in their valuation with the implementation of the new tax bill. In our previous analysis, Here's How The GOP Tax Cut Will Impact BP's Valuation , we had discussed how the reduction in corporate tax rate will impact BP's valuation in the coming years. In this note, we aim to talk about the benefit that the recent tax cut will have on BP's shareholders in the next few years.\nSee Our Complete Analysis For BP Plc. Here\nLower Tax Would Boost Profitability\nThe US oil and gas industry has been suffering from low profitability and cash flows over the last three years due to the ongoing commodity slowdown. In fact, a number of these companies have been making losses, which helped them to dodge the payment of heavy taxes in the last couple of years. However, with the anticipated recovery in commodity markets, the profitability of these companies is expected to improve, causing them to pay higher taxes compared to the previous two years. That said, the reduction of the corporate tax rate from the existing 35% to around 21% would result in a lower tax obligation for these companies, which is expected to boost their profitability going forward.\nKeeping this in mind, we expect BP's net earnings to increase sharply starting in 2018. This would not only augment the company's stock price, causing capital appreciation for the investors, but will also free up cash for the company to grow its dividend payouts or to expand its share buyback program. Besides, the integrated company could also utilize these tax savings to prepay its debt obligations and reduce its interest expenses, which would further improve its profits going forward. Thus, we figure that the tax cut will bolster BP's profitability as well as valuation, which will, in turn, generate higher returns for its shareholders. Further, an effective use of these tax savings will be to allow the company to further enhance shareholder value going forward.\nIncremental Gain From MLP\nApart from drastically reducing the tax burden for oil and gas companies, the new tax plan provides for some concessions that will further boost their returns. The new law provides for a 20% business income deduction for individuals holding ownership in pass-trough entities, such as master limited partnerships (MLPs). At present, an MLP is a corporate vehicle, popularly used by oil pipeline companies and real estate companies, that allows parent companies to receive a large portion of the MLP's earnings without paying taxes on it. These distributions are taxed on an individual level rather than on a corporate level. Without this special concession, the individuals receiving income from any of these pass-through entities would have to pay a tax of 37%, based on the personal tax rate under the new law. However, with the provisions of the new act, these individuals would receive a 20% deduction on their pass-through income before paying their taxes.\nInterestingly, BP had recently spun-off its midstream business to form an MLP, known as BP Midstream Partners ( BPMP ) to independently run its pipeline business, while taking advantage of a tax efficient structure of an MLP. Now, with the implementation of the new tax bill, we expect BP's shareholders to save taxes on their income from BPMP, which will, in turn, enhance their overall return from the company.\nThus, we figure that the tax reforms implemented by the Trump government are likely to be beneficial for BP, as well as its shareholders, in the coming years.\nView Interactive Institutional Research (Powered by Trefis):\nGlobal Large Cap | U.S. Mid & Small Cap | European Large & Mid Cap\nMore Trefis 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': 'However, with the anticipated recovery in commodity markets, the profitability of these companies is expected to improve, causing them to pay higher taxes compared to the previous two years. Besides, the integrated company could also utilize these tax savings to prepay its debt obligations and reduce its interest expenses, which would further improve its profits going forward. The new law provides for a 20% business income deduction for individuals holding ownership in pass-trough entities, such as master limited partnerships (MLPs).', 'news_luhn_summary': "In our previous analysis, Here's How The GOP Tax Cut Will Impact BP's Valuation , we had discussed how the reduction in corporate tax rate will impact BP's valuation in the coming years. Now, with the implementation of the new tax bill, we expect BP's shareholders to save taxes on their income from BPMP, which will, in turn, enhance their overall return from the company. Mid & Small Cap | European Large & Mid Cap More Trefis Research 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': "How Will BP's Shareholders Benefit From The New Tax Bill?", 'news_lexrank_summary': "In our previous analysis, Here's How The GOP Tax Cut Will Impact BP's Valuation , we had discussed how the reduction in corporate tax rate will impact BP's valuation in the coming years. That said, the reduction of the corporate tax rate from the existing 35% to around 21% would result in a lower tax obligation for these companies, which is expected to boost their profitability going forward. However, with the provisions of the new act, these individuals would receive a 20% deduction on their pass-through income before paying their taxes.", 'news_textrank_summary': "In our previous analysis, Here's How The GOP Tax Cut Will Impact BP's Valuation , we had discussed how the reduction in corporate tax rate will impact BP's valuation in the coming years. At present, an MLP is a corporate vehicle, popularly used by oil pipeline companies and real estate companies, that allows parent companies to receive a large portion of the MLP's earnings without paying taxes on it. Now, with the implementation of the new tax bill, we expect BP's shareholders to save taxes on their income from BPMP, which will, in turn, enhance their overall return from the company."}, {'news_url': 'https://seekingalpha.com/article/4134944-ocean-rig-expectations-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': 'Ocean Rig: Expectations For 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134868-2017-portfolio-performance-review-tale-2-halves?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '2017 Portfolio Performance Review - A Tale Of 2 Halves', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320682-brazil-securities-regulator-accuses-eight-former-petrobras-execs-corruption?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Brazil securities regulator accuses eight former Petrobras execs of corruption', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.zacks.com/stock/news/287489/foreign-stock-roundup-roche-to-buy-ignyta-for-%2417b-shell-to-acquire-first-utility?cid=CS-BENZ-FT-287489', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Foreign Stock Roundup: Roche to Buy Ignyta for $1.7B; Shell to Acquire First Utility', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134790-petrobras-brazilian-oil-recover-stability-resumes?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Petrobras - Brazilian Oil Should Recover As Stability Resumes', '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': 10.43000030517578, 'high': 10.699999809265137, 'open': 10.460000038146973, 'close': 10.699999809265137, 'ema_50': 10.038888455231893, 'rsi_14': 70.33900325583106, 'target': 10.970000267028809, 'volume': 14023400.0, 'ema_200': 9.656077132665999, 'adj_close': 10.259746551513672, 'rsi_lag_1': 64.8241403503391, 'rsi_lag_2': 64.4670335814664, 'rsi_lag_3': 53.99061369190316, 'rsi_lag_4': 57.209291184765284, 'rsi_lag_5': 51.20773481019336, 'macd_lag_1': 0.0186990376421452, 'macd_lag_2': -0.009308580926553844, 'macd_lag_3': -0.03779384761320159, 'macd_lag_4': -0.06138350732558884, 'macd_lag_5': -0.09670867669334093, 'macd_12_26_9': 0.07313577463178156, 'macds_12_26_9': -0.04114361707704327}, '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': 10.970000267028809, '2018-01-04': 11.0, '2018-01-05': 11.079999923706056, '2018-01-08': 11.220000267028809, '2018-01-09': 11.140000343322754, '2018-01-10': 11.050000190734863, '2018-01-11': 11.380000114440918, '2018-01-12': 11.470000267028809, '2018-01-16': 11.699999809265137}, '1_month_later': {'2018-02-02': 13.31999969482422}, '3_months_later': {'2018-04-02': 13.720000267028809}, '6_months_later': {'2018-07-02': 10.06999969482422}, '12_months_later': {'2019-01-02': 14.010000228881836}}
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.
PCEF
{'date': '2018-01-02', 'ticker': 'PCEF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.8799991607666, 'high': 23.979999542236328, 'open': 23.8799991607666, 'close': 23.979999542236328, 'ema_50': 23.78207953366153, 'rsi_14': 70.90907829850394, 'target': 24.030000686645508, 'volume': 262200.0, 'ema_200': 23.596615970758123, 'adj_close': 19.77669334411621, 'rsi_lag_1': 67.34695466347006, 'rsi_lag_2': 61.90480515529026, 'rsi_lag_3': 58.13949362147571, 'rsi_lag_4': 59.999999999999844, 'rsi_lag_5': 64.58342439570933, 'macd_lag_1': 0.025830319455842243, 'macd_lag_2': 0.01614014913582551, 'macd_lag_3': 0.011682649080928087, 'macd_lag_4': 0.0068415337831027045, 'macd_lag_5': 0.003617418203631928, 'macd_12_26_9': 0.03950973092008425, 'macds_12_26_9': 0.013175466004283966}, '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': 24.030000686645508, '2018-01-04': 24.06999969482422, '2018-01-05': 24.100000381469727, '2018-01-08': 24.1299991607666, '2018-01-09': 24.11000061035156, '2018-01-10': 24.020000457763672, '2018-01-11': 24.14999961853028, '2018-01-12': 24.170000076293945, '2018-01-16': 24.11000061035156}, '1_month_later': {'2018-02-02': 23.459999084472656}, '3_months_later': {'2018-04-02': 22.780000686645508}, '6_months_later': {'2018-07-02': 22.76000022888184}, '12_months_later': {'2019-01-02': 20.46999931335449}}
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.
PBPB
{'date': '2018-01-02', 'ticker': 'PBPB', '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': 12.399999618530272, 'high': 12.699999809265137, 'open': 12.600000381469728, 'close': 12.699999809265137, 'ema_50': 12.369400978999783, 'rsi_14': 46.51161552829768, 'target': 12.800000190734863, 'volume': 200700.0, 'ema_200': 12.237670964570212, 'adj_close': 12.699999809265137, 'rsi_lag_1': 41.02566359779439, 'rsi_lag_2': 43.24325160268639, 'rsi_lag_3': 46.153861201941055, 'rsi_lag_4': 37.77778908057017, 'rsi_lag_5': 34.000014495833085, 'macd_lag_1': 0.03680088107145707, 'macd_lag_2': 0.06409796506237697, 'macd_lag_3': 0.06746116244415035, 'macd_lag_4': 0.08095442903461247, 'macd_lag_5': 0.10209015338985061, 'macd_12_26_9': 0.04690369502319136, 'macds_12_26_9': 0.08570714158616599}, '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': 12.800000190734863, '2018-01-04': 12.899999618530272, '2018-01-05': 12.949999809265137, '2018-01-08': 13.0, '2018-01-09': 12.899999618530272, '2018-01-10': 12.949999809265137, '2018-01-11': 13.149999618530272, '2018-01-12': 13.149999618530272, '2018-01-16': 12.75}, '1_month_later': {'2018-02-02': 12.0}, '3_months_later': {'2018-04-02': 12.0}, '6_months_later': {'2018-07-02': 13.100000381469728}, '12_months_later': {'2019-01-02': 8.029999732971191}}
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.
PBIP
{'date': '2018-01-02', 'ticker': 'PBIP', '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': 17.3700008392334, 'high': 17.729999542236328, 'open': 17.600000381469727, 'close': 17.440000534057617, 'ema_50': 18.184266474096713, 'rsi_14': 31.21698728234547, 'target': 17.40999984741211, 'volume': 16500.0, 'ema_200': 17.837179683787, 'adj_close': 15.75037670135498, 'rsi_lag_1': 33.714329933537144, 'rsi_lag_2': 40.13605706975159, 'rsi_lag_3': 39.31033121990997, 'rsi_lag_4': 32.203437317818754, 'rsi_lag_5': 32.960956954725376, 'macd_lag_1': -0.11303556621879451, 'macd_lag_2': -0.07413948674538773, 'macd_lag_3': -0.0631245815381476, 'macd_lag_4': -0.03796552431979805, 'macd_lag_5': -0.019555870265246966, 'macd_12_26_9': -0.15498506854884653, 'macds_12_26_9': -0.06598304599484989}, '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': 17.40999984741211, '2018-01-04': 17.709999084472656, '2018-01-05': 18.13999938964844, '2018-01-08': 17.610000610351562, '2018-01-09': 17.709999084472656, '2018-01-10': 17.6299991607666, '2018-01-11': 18.1299991607666, '2018-01-12': 18.34000015258789, '2018-01-16': 18.059999465942383}, '1_month_later': {'2018-02-02': 17.34000015258789}, '3_months_later': {'2018-04-02': 17.8700008392334}, '6_months_later': {'2018-07-02': 19.440000534057617}, '12_months_later': {'2019-01-02': 17.739999771118164}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pbi
{'date': '2018-01-02', 'ticker': 'pbi', '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': 11.220000267028809, 'high': 11.4399995803833, 'open': 11.25, 'close': 11.399999618530272, 'ema_50': 11.348964755274224, 'rsi_14': 66.44294786536929, 'target': 11.300000190734863, 'volume': 2278600.0, 'ema_200': 13.12842881334439, 'adj_close': 8.401269912719727, 'rsi_lag_1': 65.75342555233087, 'rsi_lag_2': 66.66666666666666, 'rsi_lag_3': 68.74998882412511, 'rsi_lag_4': 77.41938064052493, 'rsi_lag_5': 81.45696242584548, 'macd_lag_1': 0.08501508276726888, 'macd_lag_2': 0.08582935781031864, 'macd_lag_3': 0.08562024184256778, 'macd_lag_4': 0.09021708212335611, 'macd_lag_5': 0.07949928789911809, 'macd_12_26_9': 0.10095808791262151, 'macds_12_26_9': 0.03826357178074869}, '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': 11.300000190734863, '2018-01-04': 11.390000343322754, '2018-01-05': 11.510000228881836, '2018-01-08': 11.630000114440918, '2018-01-09': 11.489999771118164, '2018-01-10': 11.630000114440918, '2018-01-11': 13.359999656677246, '2018-01-12': 13.18000030517578, '2018-01-16': 12.829999923706056}, '1_month_later': {'2018-02-02': 12.989999771118164}, '3_months_later': {'2018-04-02': 10.75}, '6_months_later': {'2018-07-02': 8.649999618530273}, '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.
pbhc
{'date': '2018-01-02', 'ticker': 'pbhc', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.300000190734863, 'high': 15.300000190734863, 'open': 15.300000190734863, 'close': 15.300000190734863, 'ema_50': 15.317860651393701, 'rsi_14': 51.282085767454156, 'target': 15.399999618530272, 'volume': 200.0, 'ema_200': 14.967999295955885, 'adj_close': 13.64924430847168, 'rsi_lag_1': 48.19272540088886, 'rsi_lag_2': 41.095865356603085, 'rsi_lag_3': 53.93256982186652, 'rsi_lag_4': 58.241799700902405, 'rsi_lag_5': 56.382975485486334, 'macd_lag_1': 0.012107351114552856, 'macd_lag_2': 0.007399737432923104, 'macd_lag_3': 0.011465237892153368, 'macd_lag_4': 0.014451214601677975, 'macd_lag_5': 0.014997591840085533, 'macd_12_26_9': 0.00768051458953245, 'macds_12_26_9': 0.010075804639078952}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.399999618530272, '2018-01-04': 15.399999618530272, '2018-01-05': 15.399999618530272, '2018-01-08': 15.3100004196167, '2018-01-09': 15.3100004196167, '2018-01-10': 15.300000190734863, '2018-01-11': 15.300000190734863, '2018-01-12': 15.399999618530272, '2018-01-16': 15.449999809265137}, '1_month_later': {'2018-02-02': 15.470000267028809}, '3_months_later': {'2018-04-02': 15.489999771118164}, '6_months_later': {'2018-07-02': 15.649999618530272}, '12_months_later': {'2019-01-02': 14.9399995803833}}
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.
PBH
{'date': '2018-01-02', 'ticker': 'PBH', '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': 43.86000061035156, 'high': 44.97999954223633, 'open': 44.36000061035156, 'close': 43.88999938964844, 'ema_50': 45.394703548549074, 'rsi_14': 27.888452875610582, 'target': 43.560001373291016, 'volume': 667300.0, 'ema_200': 48.79096843219281, 'adj_close': 43.34252548217773, 'rsi_lag_1': 27.23736679181934, 'rsi_lag_2': 31.688816503800226, 'rsi_lag_3': 29.43265241522792, 'rsi_lag_4': 31.559676822145093, 'rsi_lag_5': 24.342137872316925, 'macd_lag_1': -0.10993630501662466, 'macd_lag_2': -0.07318758384111135, 'macd_lag_3': -0.03947278908541563, 'macd_lag_4': 0.005151709527368098, 'macd_lag_5': 0.03657931743637732, 'macd_12_26_9': -0.17895672074477886, 'macds_12_26_9': 0.008155823300898448}, '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': 43.560001373291016, '2018-01-04': 44.52999877929688, '2018-01-05': 44.20000076293945, '2018-01-08': 44.2599983215332, '2018-01-09': 43.84000015258789, '2018-01-10': 44.060001373291016, '2018-01-11': 44.95000076293945, '2018-01-12': 44.84000015258789, '2018-01-16': 44.93999862670898}, '1_month_later': {'2018-02-02': 35.83000183105469}, '3_months_later': {'2018-04-02': 33.0}, '6_months_later': {'2018-07-02': 38.29999923706055}, '12_months_later': {'2019-01-02': 30.709999084472656}}
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.
PBDM
{'date': '2018-01-02', 'ticker': 'PBDM', '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': 26.1299991607666, 'high': 26.174999237060547, 'open': 26.1299991607666, 'close': 26.174999237060547, 'ema_50': 25.54458946310769, 'rsi_14': 71.55963623828285, 'target': 26.332000732421875, 'volume': 1000.0, 'ema_200': 25.303249094529495, 'adj_close': 24.25735282897949, 'rsi_lag_1': 70.1923306171933, 'rsi_lag_2': 76.56253725293887, 'rsi_lag_3': 57.57577703652997, 'rsi_lag_4': 56.25001655686149, 'rsi_lag_5': 45.251391885772094, 'macd_lag_1': 0.15702310833685118, 'macd_lag_2': 0.14955160888235497, 'macd_lag_3': 0.13682175741781677, 'macd_lag_4': 0.13131097598608932, 'macd_lag_5': 0.13204008868866168, 'macd_12_26_9': 0.172654246024198, 'macds_12_26_9': 0.1455242736966846}, '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': 26.332000732421875, '2018-01-04': 26.332000732421875, '2018-01-05': 26.799999237060547, '2018-01-08': 26.81999969482422, '2018-01-10': 26.827999114990234, '2018-01-11': 26.979999542236328, '2018-01-12': 27.209999084472656}, '1_month_later': {'2018-02-02': 26.8799991607666}, '6_months_later': {'2018-07-02': 25.21999931335449}, '12_months_later': {'2019-01-02': 21.3799991607666}}
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.
pbd
{'date': '2018-01-02', 'ticker': 'pbd', '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': 13.199999809265137, 'high': 13.279999732971191, 'open': 13.199999809265137, 'close': 13.270000457763672, 'ema_50': 12.877249006377978, 'rsi_14': 84.50709144124359, 'target': 13.31999969482422, 'volume': 8700.0, 'ema_200': 12.282354031074789, 'adj_close': 11.946979522705078, 'rsi_lag_1': 84.05801107645021, 'rsi_lag_2': 83.8235644733539, 'rsi_lag_3': 84.93154443079979, 'rsi_lag_4': 83.82356447335385, 'rsi_lag_5': 58.333333333333265, 'macd_lag_1': 0.043013799383974316, 'macd_lag_2': 0.026467280480993338, 'macd_lag_3': 0.014126578719503513, 'macd_lag_4': 0.0022426016239567304, 'macd_lag_5': -0.004812847478820714, 'macd_12_26_9': 0.06585778999687797, 'macds_12_26_9': 0.01703026637744816}, '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': 13.31999969482422, '2018-01-04': 13.369999885559082, '2018-01-05': 13.420000076293944, '2018-01-08': 13.449999809265137, '2018-01-09': 13.380000114440918, '2018-01-10': 13.300000190734863, '2018-01-11': 13.520000457763672, '2018-01-12': 13.59000015258789, '2018-01-16': 13.5600004196167}, '1_month_later': {'2018-02-02': 13.149999618530272}, '3_months_later': {'2018-04-02': 12.520000457763672}, '6_months_later': {'2018-07-02': 11.729999542236328}, '12_months_later': {'2019-01-02': 10.34000015258789}}
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.
PBP
{'date': '2018-01-02', 'ticker': 'PBP', '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': 21.36000061035156, 'high': 21.63999938964844, 'open': 21.36000061035156, 'close': 21.559999465942383, 'ema_50': 22.42887861990792, 'rsi_14': 17.679478249323736, 'target': 21.5, 'volume': 189600.0, 'ema_200': 22.26135352242969, 'adj_close': 19.73625373840332, 'rsi_lag_1': 12.280668487760053, 'rsi_lag_2': 12.865463809434573, 'rsi_lag_3': 12.35289563766635, 'rsi_lag_4': 53.84600336476389, 'rsi_lag_5': 52.500071525982996, 'macd_lag_1': -0.199555295527869, 'macd_lag_2': -0.13651803831491094, 'macd_lag_3': -0.05509186947098499, 'macd_lag_4': 0.0537114940603054, 'macd_lag_5': 0.05842112888522877, 'macd_12_26_9': -0.23789450027821246, 'macds_12_26_9': -0.07537244935092591}, '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': 21.5, '2018-01-04': 21.56999969482422, '2018-01-05': 21.61000061035156, '2018-01-08': 21.59000015258789, '2018-01-09': 21.57999992370605, '2018-01-10': 21.6200008392334, '2018-01-11': 21.530000686645508, '2018-01-12': 21.559999465942383, '2018-01-16': 21.549999237060547}, '1_month_later': {'2018-02-02': 21.309999465942383}, '3_months_later': {'2018-04-02': 20.559999465942383}, '6_months_later': {'2018-07-02': 21.61000061035156}, '12_months_later': {'2019-01-02': 19.96999931335449}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PBCTP
{'date': '2018-01-02', 'ticker': 'PBCTP', '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': 27.39999961853028, 'high': 28.6200008392334, 'open': 28.280000686645508, 'close': 28.07999992370605, 'ema_50': 27.53579511990771, 'rsi_14': 53.05090537904934, 'target': 27.770000457763672, 'volume': 19900.0, 'ema_200': 27.169872469598015, 'adj_close': 24.523605346679688, 'rsi_lag_1': 62.99694211899341, 'rsi_lag_2': 60.90466568628732, 'rsi_lag_3': 61.44960033786892, 'rsi_lag_4': 65.19876639290337, 'rsi_lag_5': 62.94745711006853, 'macd_lag_1': 0.17036334074490256, 'macd_lag_2': 0.1357575215751048, 'macd_lag_3': 0.12524965999784143, 'macd_lag_4': 0.12172506195310007, 'macd_lag_5': 0.1078194055028483, 'macd_12_26_9': 0.17638941857226698, 'macds_12_26_9': 0.1250095345682739}, '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': 27.770000457763672, '2018-01-04': 28.209999084472656, '2018-01-05': 27.96999931335449, '2018-01-08': 28.1200008392334, '2018-01-09': 28.0, '2018-01-10': 27.89999961853028, '2018-01-11': 28.170000076293945, '2018-01-12': 27.88999938964844, '2018-01-16': 27.799999237060547}, '1_month_later': {'2018-02-02': 25.799999237060547}, '3_months_later': {'2018-04-02': 26.1299991607666}, '6_months_later': {'2018-07-02': 26.030000686645508}, '12_months_later': {'2019-01-02': 22.6299991607666}}
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.
PCF
{'date': '2018-01-02', 'ticker': 'PCF', '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': 9.029999732971191, 'high': 9.050000190734863, 'open': 9.039999961853027, 'close': 9.050000190734863, 'ema_50': 9.023853436453562, 'rsi_14': 51.51518654451924, 'target': 9.09000015258789, 'volume': 18500.0, 'ema_200': 8.802822291268726, 'adj_close': 7.697299003601074, 'rsi_lag_1': 52.94124246878118, 'rsi_lag_2': 54.54540200155487, 'rsi_lag_3': 48.64868347967078, 'rsi_lag_4': 53.086429927932954, 'rsi_lag_5': 54.76189935558874, 'macd_lag_1': 0.016518004245437368, 'macd_lag_2': 0.023595821403160855, 'macd_lag_3': 0.02617744136811062, 'macd_lag_4': 0.02705535418572147, 'macd_lag_5': 0.027782357757494935, 'macd_12_26_9': 0.013177607629589971, 'macds_12_26_9': 0.022158435976443888}, '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': 9.09000015258789, '2018-01-04': 9.100000381469728, '2018-01-05': 9.170000076293944, '2018-01-08': 9.1899995803833, '2018-01-09': 9.199999809265137, '2018-01-10': 9.119999885559082, '2018-01-11': 9.100000381469728, '2018-01-12': 9.09000015258789, '2018-01-16': 9.109999656677246}, '1_month_later': {'2018-02-02': 9.010000228881836}, '3_months_later': {'2018-04-02': 8.979999542236328}, '6_months_later': {'2018-07-02': 9.420000076293944}, '12_months_later': {'2019-01-02': 8.9399995803833}}
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.
PCH
{'date': '2018-01-02', 'ticker': 'PCH', '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/18/01/10972352/bank-of-america-upgrades-potlatch-to-neutral', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Bank of America Upgrades Potlatch to Neutral', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.nasdaq.com/articles/heres-why-you-should-hold-on-to-weyerhaeuser-wy-stock-now-2018-01-02', 'news_author': None, 'news_article': 'We issued an updated research report on Weyerhaeuser CompanyWY on Jan 2. Strengthening timber, land and forest products business as well as the company\'s efforts to improve operational efficiency and provide healthy return to shareholders adds to its advantages. However, the growth momentum might get restricted by headwinds rising from international exposure, global uncertainties and rising costs and debts.\nWeyerhaeuser currently carries a Zacks Rank #3 (Hold). Its market capitalization is approximately $26.6 billion.\nBelow we briefly discuss the company\'s potential growth drivers and possible headwinds.\nFactors Favoring Weyerhaeuser\nStrategic Initiatives Drive Growth Opportunities: Over time, Weyerhaeuser has undertaken some strategic decisions to help it concentrate on its core timber, land and forest products business. In this regard, divestment of liquid packaging board business, printing papers company (North Pacific Paper Company) and Cellulose Fibers pulp mills in 2016 are worth mentioning. Also, the company continued with its efforts in 2017, having divested its timberlands and manufacturing operations in Uruguay to a consortium led by BTG Pactual\'s Timberland Investment Group in September. Also, the company sold its 21% equity interest in Twin Creeks Timber in October.\nIn addition, Weyerhaeuser\'s merger with Plum Creek Timber has enabled it to leverage benefits from the gradually improving housing market in the United States. Housing starts in the country are expected to be roughly 1.2 million in 2017.\nAttractive Shareholders\' Return: Weyerhaeuser has a sound track record of rewarding its shareholders through lucrative dividend payments. Notably, the company paid dividends of $699 million in the first nine months of 2017, of which roughly $233 million was distributed in the third quarter. In November, the company gifted its shareholders a 3.2% hike in the quarterly dividend rate.\nWe believe such disbursements are reflective of its strong cash position and capital allocation policy. In the long run, the company aims to achieve dividend payout of up to 75% of funds available for distribution.\nOperational Excellence & Impressive Guidance: We believe that Weyerhaeuser\'s ongoing operational initiatives are anticipated to support its results in 2017 (results not yet released). It aims to reap a benefit of $40-$50 million in the Timberlands segment, driven by these initiatives. Benefits of $55-$75 million are expected in the Wood Products segment, including improvement of $20-$25 million in oriented strand board, $20-$25 million in lumber, $10-$15 million in engineered wood products and $5-$10 million in distribution.\nWeyerhaeuser anticipates sequentially higher earnings and adjusted earnings before interest, tax, depreciation and amortization from the Timberland segment. Likewise, results in the Real Estate, Energy and Natural Resources segments are predicted to improve sequentially. Also, the company anticipates spending approximately $300 million as capital expenditure for the Wood Products segment while $135 million has been allocated for the Timberlands segment.\nFactors Working Against Weyerhaeuser\nPoor Share Price Performance & Valuation: In the last three months, Weyerhaeuser\'s shares have yielded 3.3% return, underperforming 5.6% growth of the industry .\nAlso, on a P/E (TTM) basis, Weyerhaeuser looks overvalued compared with the industry with respective tallies of 36x and 28.9x in the last three-month period. This makes us cautious on the stock.\nIncreasing Costs and Huge Debt Levels: Weyerhaeuser is suffering from the risks of escalated costs and expenses. In the first nine months of 2017, the company\'s cost of sales increased 7.6% year over year. We believe, if unchecked, rising costs and expenses can hurt its margins in the quarters ahead.\nAlso, a high-debt level can lead to heightened financial obligations, posing serious threats to the company\'s financial health. Exiting the third quarter, its long-term debt was approximately $5.9 billion.\nChallenges Arising From Global Uncertainties: Weyerhaeuser\'s businesses are highly dependent on the housing market in the United States. Lower level of housing activities and difficult financial conditions in the home country as well as other countries where the company operates will adversely hurt its sales, earnings and cash flow.\nIn addition, business expansion in foreign nations has exposed Weyerhaeuser to risks arising from adverse movements in foreign currencies and geo-political issues.\nEarnings Estimates & Stocks to Consider\nWeyerhaeuser\'s earnings estimates for 2017 (results not yet released) and 2018 improved in the last 60 days. Currently, the Zacks Consensus Estimate is pegged at $1.20 for 2017 and $1.31 for 2018, representing growth of 2.6% and 0.8% from their respective tallies 60 days ago.\nSome stocks worth considering in the industry are Boise Cascade, L.L.C. BCC , Rayonier Inc. RYN and Potlatch Corporation PCH . All these stocks carry a Zacks Rank #2 (Buy). You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here .\nBoise Cascade\'s earnings for 2017 and 2018 improved in the last 60 days. Also, the company pulled off an average positive earnings surprise of 116.28% in the last four quarters.\nRayonier\'s earnings estimates for 2017 and 2018 improved in the last 60 days. The company delivered better-than-expected earnings in three of the last four quarters, with an average positive surprise of 96.01%.\nPotlatch Corporation\'s financial performance was impressive, with an average positive earnings surprise of 43.58% in the last four quarters. Also, earnings estimates for 2017 and 2018 were revised upward over the last 60 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\nWeyerhaeuser Company (WY): Free Stock Analysis Report\nRayonier Inc. (RYN): Free Stock Analysis Report\nBoise Cascade, L.L.C. (BCC): Free Stock Analysis Report\nPotlatch Corporation (PCH): 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': "BCC , Rayonier Inc. RYN and Potlatch Corporation PCH . (BCC): Free Stock Analysis Report Potlatch Corporation (PCH): Free Stock Analysis Report To read this article on Zacks.com click here. Strengthening timber, land and forest products business as well as the company's efforts to improve operational efficiency and provide healthy return to shareholders adds to its advantages.", 'news_luhn_summary': '(BCC): Free Stock Analysis Report Potlatch Corporation (PCH): Free Stock Analysis Report To read this article on Zacks.com click here. BCC , Rayonier Inc. RYN and Potlatch Corporation PCH . Benefits of $55-$75 million are expected in the Wood Products segment, including improvement of $20-$25 million in oriented strand board, $20-$25 million in lumber, $10-$15 million in engineered wood products and $5-$10 million in distribution.', 'news_article_title': "Here's Why You Should Hold on to Weyerhaeuser (WY) Stock Now", 'news_lexrank_summary': "BCC , Rayonier Inc. RYN and Potlatch Corporation PCH . (BCC): Free Stock Analysis Report Potlatch Corporation (PCH): Free Stock Analysis Report To read this article on Zacks.com click here. Earnings Estimates & Stocks to Consider Weyerhaeuser's earnings estimates for 2017 (results not yet released) and 2018 improved in the last 60 days.", 'news_textrank_summary': 'BCC , Rayonier Inc. RYN and Potlatch Corporation PCH . (BCC): Free Stock Analysis Report Potlatch Corporation (PCH): Free Stock Analysis Report To read this article on Zacks.com click here. Benefits of $55-$75 million are expected in the Wood Products segment, including improvement of $20-$25 million in oriented strand board, $20-$25 million in lumber, $10-$15 million in engineered wood products and $5-$10 million in distribution.'}, {'news_url': 'https://www.nasdaq.com/articles/heres-why-you-should-add-rayonier-ryn-to-your-portfolio-2018-01-02', 'news_author': None, 'news_article': 'Shares of RayonierRYN have been performing well, of late. Over the past three months, the stock has gained 8.4% while the industry has recorded growth of 5.4%.\nThis rally is anticipated to continue in the near term as there are a number of favorable factors.\nIn third-quarter 2017, the company posted encouraging results with respect to pro forma net income. Rayonier reported pro forma net income of 19 cents per share, comfortably surpassing the Zacks Consensus Estimate of 5 cents. Results highlighted solid performance of Pacific Northwest and New Zealand Timber segments on account of higher harvest volumes and increase in sawtimber prices.\nKey Driving Factors\nWell Positioned Portfolio: Rayonier enjoys a portfolio of 2.7 million acres of timberlands in some of the most productive timber-growing regions of the U.S. South, Pacific Northwest and New Zealand. Further, these timberlands are of strategic importance as they are located in close proximity to pulpwood consuming mills that manufacture products for the growing end markets. In addition to this, the company is witnessing increasing demand from pellet manufacturers, mainly in Texas and Georgia. Hence, footprint in some of the most productive locations has enabled it to enjoy favorable demand-supply dynamics and better pricing power.\nSecure Cash Flows: Rayonier primarily requires cash for distribution and to maintain productivity of timberlands through replanting and silviculture. For this, it depends on cash flow from timber harvest and real estate sales as its primary source of cash. Since the company\'s operations generate consistent cash flow, Rayonier\'s dependency on other capital resources is less. In fact, recurring cash generation from operations provides the company sufficient capacity to pursue timberland acquisitions.\nPrudent Investments and Acquisitions: To further strengthen its portfolio, this preeminent timberland real estate investment trust (REIT) is tapping investment opportunities. Leveraging on the active timberland market, Rayonier has acquired industrial timberlands worth $239.1 million during the nine-month period ended Sep 30, 2017. These acquisitions have upgraded the company\'s U.S. South and Pacific Northwest portfolio, and positioned it to gain from the ongoing U.S. housing recovery.\nExploring Higher-and-Better-Use (HBU) Opportunities: Rayonier constantly strives to derive maximum potential of its properties by finding alternative uses of the timberlands. In fact, there are many attractive HBU opportunities across the U.S. South, mainly in the Florida and Georgia coastal corridor. Rayonier\'s efforts to continuously monetize HBU properties, through rural land sales, has enabled it to increase the value of its portfolio.\nZacks Rank: The stock currently carries a Zacks Rank #2 (Buy). You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here.\nOther Stocks to Consider\nOther top-ranked stocks in the same space include Armstrong World Industries AWI , Boise Cascade Company BCC and Potlatch Corporation PCH . All these stocks carry a Zacks Rank of 2.\nShares of Armstrong World Industries have gained 32.9% over the past six months.\nBoise Cascade\'s earnings estimates for 2017 have been revised upward to $1.95 in a month\'s time. Over the past six months, the company\'s shares have soared 32.1%.\nPotlatch Corporation\'s 2017 earnings estimates have remained unchanged at $2.39 over the past month. The stock has rallied 8.6% in the past six months.\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\nArmstrong World Industries Inc (AWI): Free Stock Analysis Report\nRayonier Inc. (RYN): Free Stock Analysis Report\nBoise Cascade, L.L.C. (BCC): Free Stock Analysis Report\nPotlatch Corporation (PCH): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\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': 'Other Stocks to Consider Other top-ranked stocks in the same space include Armstrong World Industries AWI , Boise Cascade Company BCC and Potlatch Corporation PCH . (BCC): Free Stock Analysis Report Potlatch Corporation (PCH): Free Stock Analysis Report To read this article on Zacks.com click here. Results highlighted solid performance of Pacific Northwest and New Zealand Timber segments on account of higher harvest volumes and increase in sawtimber prices.', 'news_luhn_summary': 'Other Stocks to Consider Other top-ranked stocks in the same space include Armstrong World Industries AWI , Boise Cascade Company BCC and Potlatch Corporation PCH . (BCC): Free Stock Analysis Report Potlatch Corporation (PCH): Free Stock Analysis Report To read this article on Zacks.com click here. Click to get this free report Armstrong World Industries Inc (AWI): Free Stock Analysis Report Rayonier Inc. (RYN): Free Stock Analysis Report Boise Cascade, L.L.C.', 'news_article_title': "Here's Why You Should Add Rayonier (RYN) to Your Portfolio", 'news_lexrank_summary': 'Other Stocks to Consider Other top-ranked stocks in the same space include Armstrong World Industries AWI , Boise Cascade Company BCC and Potlatch Corporation PCH . (BCC): Free Stock Analysis Report Potlatch Corporation (PCH): Free Stock Analysis Report To read this article on Zacks.com click here. For this, it depends on cash flow from timber harvest and real estate sales as its primary source of cash.', 'news_textrank_summary': 'Other Stocks to Consider Other top-ranked stocks in the same space include Armstrong World Industries AWI , Boise Cascade Company BCC and Potlatch Corporation PCH . (BCC): Free Stock Analysis Report Potlatch Corporation (PCH): Free Stock Analysis Report To read this article on Zacks.com click here. Click to get this free report Armstrong World Industries Inc (AWI): Free Stock Analysis Report Rayonier Inc. (RYN): Free Stock Analysis Report Boise Cascade, L.L.C.'}, {'news_url': 'http://www.zacks.com/stock/news/287502/heres-why-you-should-hold-on-to-weyerhaeuser-wy-stock-now?cid=CS-BENZ-FT-287502', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Here's Why You Should Hold on to Weyerhaeuser (WY) Stock Now", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.zacks.com/stock/news/287469/heres-why-you-should-add-rayonier-ryn-to-your-portfolio?cid=CS-BENZ-FT-287469', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Here's Why You Should Add Rayonier (RYN) to Your Portfolio", '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': 50.0, 'high': 50.70000076293945, 'open': 50.400001525878906, 'close': 50.59999847412109, 'ema_50': 50.871105019176575, 'rsi_14': 47.10741873590369, 'target': 51.75, 'volume': 427100.0, 'ema_200': 48.111381788657674, 'adj_close': 42.28144836425781, 'rsi_lag_1': 44.34784973950612, 'rsi_lag_2': 36.58535677645131, 'rsi_lag_3': 36.065572745311556, 'rsi_lag_4': 35.772361253602284, 'rsi_lag_5': 33.05085184107591, 'macd_lag_1': -0.595064637105736, 'macd_lag_2': -0.6232806104051178, 'macd_lag_3': -0.6196827876314472, 'macd_lag_4': -0.5908045954235632, 'macd_lag_5': -0.5453519996175373, 'macd_12_26_9': -0.5103365295372697, 'macds_12_26_9': -0.4977665070583269}, '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': 51.75, '2018-01-04': 50.04999923706055, '2018-01-05': 50.09999847412109, '2018-01-08': 51.54999923706055, '2018-01-09': 50.34999847412109, '2018-01-10': 50.70000076293945, '2018-01-11': 51.84999847412109, '2018-01-12': 51.54999923706055, '2018-01-16': 51.25}, '1_month_later': {'2018-02-02': 52.09999847412109}, '3_months_later': {'2018-04-02': 52.0}, '6_months_later': {'2018-07-02': 49.70000076293945}, '12_months_later': {'2019-01-02': 30.76000022888184}}
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.
PDLB
{'date': '2018-01-02', 'ticker': 'PDLB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.010000228881836, 'high': 15.399999618530272, 'open': 15.149999618530272, 'close': 15.140000343322754, 'ema_50': 15.389156750128247, 'rsi_14': 27.411183731205426, 'target': 15.100000381469728, 'volume': 83100.0, 'ema_200': 15.116194097320479, 'adj_close': 15.140000343322754, 'rsi_lag_1': 29.798033314966204, 'rsi_lag_2': 31.052683885643503, 'rsi_lag_3': 28.0220413621377, 'rsi_lag_4': 24.022406492213875, 'rsi_lag_5': 20.689707011228847, 'macd_lag_1': -0.12445114210315467, 'macd_lag_2': -0.12128289530903302, 'macd_lag_3': -0.14092949092367668, 'macd_lag_4': -0.14562850384048964, 'macd_lag_5': -0.14136247349383524, 'macd_12_26_9': -0.12870602025658862, 'macds_12_26_9': -0.09465081165485435}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.100000381469728, '2018-01-04': 14.960000038146973, '2018-01-05': 14.81999969482422, '2018-01-08': 14.850000381469728, '2018-01-09': 15.050000190734863, '2018-01-10': 14.9399995803833, '2018-01-11': 14.979999542236328, '2018-01-12': 15.0, '2018-01-16': 15.029999732971191}, '1_month_later': {'2018-02-02': 15.020000457763672}, '3_months_later': {'2018-04-02': 14.600000381469728}, '6_months_later': {'2018-07-02': 15.43000030517578}, '12_months_later': {'2019-01-02': 12.729999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PDFS
{'date': '2018-01-02', 'ticker': 'PDFS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.630000114440918, 'high': 16.40999984741211, 'open': 15.770000457763672, 'close': 16.399999618530273, 'ema_50': 16.195369865052626, 'rsi_14': 52.25224657608001, 'target': 16.510000228881836, 'volume': 156500.0, 'ema_200': 16.88839679477447, 'adj_close': 16.399999618530273, 'rsi_lag_1': 38.80597811601594, 'rsi_lag_2': 39.622610953804696, 'rsi_lag_3': 47.19471708280036, 'rsi_lag_4': 44.68749571591465, 'rsi_lag_5': 47.9865627908227, 'macd_lag_1': -0.12755295202895667, 'macd_lag_2': -0.09238829976280272, 'macd_lag_3': -0.050234309898847584, 'macd_lag_4': 0.016518360928404974, 'macd_lag_5': 0.08111515859106788, 'macd_12_26_9': -0.09780956999378176, 'macds_12_26_9': -0.003557481086454279}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.510000228881836, '2018-01-04': 16.360000610351562, '2018-01-05': 16.56999969482422, '2018-01-08': 16.600000381469727, '2018-01-09': 16.270000457763672, '2018-01-10': 15.670000076293944, '2018-01-11': 15.630000114440918, '2018-01-12': 15.68000030517578, '2018-01-16': 15.579999923706056}, '1_month_later': {'2018-02-02': 13.25}, '3_months_later': {'2018-04-02': 11.329999923706056}, '6_months_later': {'2018-07-02': 12.1899995803833}, '12_months_later': {'2019-01-02': 8.630000114440918}}
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.
PDCO
{'date': '2018-01-02', 'ticker': 'PDCO', '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': 36.43999862670898, 'high': 38.0099983215332, 'open': 36.54999923706055, 'close': 37.880001068115234, 'ema_50': 36.47378566155811, 'rsi_14': 66.76098195815379, 'target': 37.22999954223633, 'volume': 1607600.0, 'ema_200': 39.51907965874014, 'adj_close': 33.48664093017578, 'rsi_lag_1': 56.15671867516055, 'rsi_lag_2': 61.35083178980095, 'rsi_lag_3': 63.79612496647895, 'rsi_lag_4': 49.4334419207051, 'rsi_lag_5': 43.46202429719095, 'macd_lag_1': 0.10902369321606642, 'macd_lag_2': 0.1305176678627049, 'macd_lag_3': 0.12652637915826404, 'macd_lag_4': 0.1236640917813645, 'macd_lag_5': 0.13246650514041391, 'macd_12_26_9': 0.23054238894059154, 'macds_12_26_9': 0.11265184248191558}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 37.22999954223633, '2018-01-04': 37.470001220703125, '2018-01-05': 37.68000030517578, '2018-01-08': 37.77999877929688, '2018-01-09': 37.34999847412109, '2018-01-10': 36.58000183105469, '2018-01-11': 36.66999816894531, '2018-01-12': 37.5099983215332, '2018-01-16': 38.130001068115234}, '1_month_later': {'2018-02-02': 35.220001220703125}, '3_months_later': {'2018-04-02': 21.39999961853028}, '6_months_later': {'2018-07-02': 22.479999542236328}, '12_months_later': {'2019-01-02': 20.09000015258789}}
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.
PDBC
{'date': '2018-01-02', 'ticker': 'PDBC', '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': 17.489999771118164, 'high': 17.56999969482422, 'open': 17.540000915527344, 'close': 17.549999237060547, 'ema_50': 17.293331801000107, 'rsi_14': 52.722042053464754, 'target': 17.649999618530273, 'volume': 1652400.0, 'ema_200': 16.880662473374066, 'adj_close': 17.13399314880371, 'rsi_lag_1': 52.3121345859348, 'rsi_lag_2': 54.039005502083725, 'rsi_lag_3': 50.447742158818656, 'rsi_lag_4': 42.297659492456766, 'rsi_lag_5': 32.5513780423822, 'macd_lag_1': -0.0705888352988211, 'macd_lag_2': -0.098971606671995, 'macd_lag_3': -0.12866773133322695, 'macd_lag_4': -0.1519719816269003, 'macd_lag_5': -0.1759425568961035, 'macd_12_26_9': -0.03957010383384585, 'macds_12_26_9': -0.09581164119736098}, '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': 17.649999618530273, '2018-01-04': 17.65999984741211, '2018-01-05': 17.59000015258789, '2018-01-08': 17.579999923706055, '2018-01-09': 17.700000762939453, '2018-01-10': 17.770000457763672, '2018-01-11': 17.770000457763672, '2018-01-12': 17.899999618530273, '2018-01-16': 17.790000915527344}, '1_month_later': {'2018-02-02': 17.84000015258789}, '3_months_later': {'2018-04-02': 17.559999465942383}, '6_months_later': {'2018-07-02': 18.11000061035156}, '12_months_later': {'2019-01-02': 15.119999885559082}}
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.
PCYO
{'date': '2018-01-02', 'ticker': 'PCYO', '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': 8.300000190734863, 'high': 8.449999809265137, 'open': 8.449999809265137, 'close': 8.350000381469727, 'ema_50': 7.6562877673454235, 'rsi_14': 63.461544457272176, 'target': 8.300000190734863, 'volume': 12200.0, 'ema_200': 7.0958340042099515, 'adj_close': 8.350000381469727, 'rsi_lag_1': 63.461544457272176, 'rsi_lag_2': 69.64285075664672, 'rsi_lag_3': 73.33333121405741, 'rsi_lag_4': 72.8813520966851, 'rsi_lag_5': 74.99999627471004, 'macd_lag_1': 0.3153719418070189, 'macd_lag_2': 0.3200942275776164, 'macd_lag_3': 0.31128390545724205, 'macd_lag_4': 0.29042003626940005, 'macd_lag_5': 0.28502040634208736, 'macd_12_26_9': 0.3080781630202898, 'macds_12_26_9': 0.2641746612579722}, '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': 8.300000190734863, '2018-01-04': 8.300000190734863, '2018-01-05': 8.350000381469727, '2018-01-08': 8.649999618530273, '2018-01-09': 8.550000190734863, '2018-01-10': 8.550000190734863, '2018-01-11': 8.600000381469727, '2018-01-12': 8.550000190734863, '2018-01-16': 8.600000381469727}, '1_month_later': {'2018-02-02': 8.649999618530273}, '3_months_later': {'2018-04-02': 9.0}, '6_months_later': {'2018-07-02': 9.600000381469728}, '12_months_later': {'2019-01-02': 9.800000190734863}}
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.
PCG
{'date': '2018-01-02', 'ticker': 'PCG', '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/18/01/10973091/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/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/18/01/10972176/goldman-sachs-downgrades-pg-e-to-neutral', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Goldman Sachs Downgrades PG&E to Neutral', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10972015/guggenheim-downgrades-pg-e-to-sell', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Guggenheim Downgrades PG&E to Sell', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.nasdaq.com/articles/mid-morning-market-update-markets-open-higehr-micronet-enertec-sell-enertec-systems-2018', 'news_author': None, 'news_article': "Following the market opening Tuesday, the Dow traded up 0.41 percent to 24,821.41 while the NASDAQ climbed 1.16 percent to 6,983.59. The S&P also rose, gaining 0.68 percent to 2,691.92.\nLeading and Lagging Sectors\nTuesday morning, the basic materials sector proved to be a source of strength for the market. Leading the sector was strength from Commercial Metals Company (NYSE: CMC ) and Amyris Inc (NASDAQ: AMRS ).\nIn trading on Tuesday, utilities shares fell 0.05 percent. Meanwhile, top losers in the sector included SCANA Corporation (NYSE: SCG ), down 3 percent, and PG&E Corporation (NYSE: PCG ) down 2 percent.\nTop Headline\nDigital Power Corporation (NYSE: DPW ) disclosed that its subsidiary, CooliSys Technologies Inc., agreed to acquire Enertec from Micronet Enertec Technologies Inc (NASDAQ: MICT ) for $5.2 million in cash.\nEquities Trading UP\nChanticleer Holdings Inc (NASDAQ: BURG ) shares shot up 46 percent to $3.83. Chanticleer Holdings announced plans to deploy Mobivity's blockchain technology to power cryptocurrency rewards program.\nShares of Net Element International Inc (NASDAQ: NETE ) got a boost, shooting up 20 percent to $13.40. Net Element said it has finalized a $7.55-million private placement of common stock and warrants with a New York-based family office that has made multiple investments in companies with a blockchain-focused technology platform.\nEnergous Corp (NASDAQ: WATT ) shares were also up, gaining 23 percent to $23.95.\nEquities Trading DOWN\nWeatherford International Plc (NYSE: WFT ) shares dropped 17 percent to $3.47 after rising 3.22 percent on Friday.\nShares of Koss Corporation (NASDAQ: KOSS ) were down 31 percent to $2.13 after surging 114.58 percent on Friday.\nMerus NV (NASDAQ: MRUS ) was down, falling around 16 percent to $16.34. RBC Capital downgraded Merus from Outperform to Sector Perform..\nCommodities\nIn commodity news, oil traded down 0.28 percent to $60.25 while gold traded up 0.41 percent to $1,314.70.\nSilver traded down 0.03 percent Tuesday to $17.14, while copper fell 0.36 percent to $3.2885.\nEurozone\nEuropean shares were mostly lower today. The eurozone's STOXX 600 declined 0.43 percent, the Spanish Ibex Index rose 0.30 percent, while Italy's FTSE MIB Index fell 0.34 percent. Meanwhile the German DAX slipped 0.74 percent, and the French CAC 40 fell 0.62 percent while U.K. shares fell 0.56 percent.\nEconomics\nThe Markit manufacturing PMI rose to 55.10, versus previous reading of 55. However, economists projected a reading of 55.00.\nThe Treasury is set to auction 3-and 6-month bills at 11:30 a.m. ET.\nThe Treasury will auction 4-and 52-week bills at 1:00 p.m. ET.\n© 2018 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.\nProfit with More New & Research . Gain access to a streaming platform with all the information you need to invest better today. Click here to start your 14 Day Trial of Benzinga Professional\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': "Meanwhile, top losers in the sector included SCANA Corporation (NYSE: SCG ), down 3 percent, and PG&E Corporation (NYSE: PCG ) down 2 percent. Leading the sector was strength from Commercial Metals Company (NYSE: CMC ) and Amyris Inc (NASDAQ: AMRS ). Chanticleer Holdings announced plans to deploy Mobivity's blockchain technology to power cryptocurrency rewards program.", 'news_luhn_summary': 'Meanwhile, top losers in the sector included SCANA Corporation (NYSE: SCG ), down 3 percent, and PG&E Corporation (NYSE: PCG ) down 2 percent. Shares of Koss Corporation (NASDAQ: KOSS ) were down 31 percent to $2.13 after surging 114.58 percent on Friday. Meanwhile the German DAX slipped 0.74 percent, and the French CAC 40 fell 0.62 percent while U.K. shares fell 0.56 percent.', 'news_article_title': 'Mid-Morning Market Update: Markets Open Higehr; Micronet Enertec To Sell Enertec Systems', 'news_lexrank_summary': 'Meanwhile, top losers in the sector included SCANA Corporation (NYSE: SCG ), down 3 percent, and PG&E Corporation (NYSE: PCG ) down 2 percent. Equities Trading DOWN Weatherford International Plc (NYSE: WFT ) shares dropped 17 percent to $3.47 after rising 3.22 percent on Friday. Gain access to a streaming platform with all the information you need to invest better today.', 'news_textrank_summary': "Meanwhile, top losers in the sector included SCANA Corporation (NYSE: SCG ), down 3 percent, and PG&E Corporation (NYSE: PCG ) down 2 percent. Shares of Koss Corporation (NASDAQ: KOSS ) were down 31 percent to $2.13 after surging 114.58 percent on Friday. The eurozone's STOXX 600 declined 0.43 percent, the Spanish Ibex Index rose 0.30 percent, while Italy's FTSE MIB Index fell 0.34 percent."}, {'news_url': 'https://www.nasdaq.com/articles/pge-its-sticking-fork-socket-2018-01-02', 'news_author': None, 'news_article': 'PG&E Corp. (PCG) had a tough year, falling some 27% in the past 12 months, and ending 2017 with a whimper. The heels of devastating California wildfires pushed the stock down throughout 2017, making owning it feel like sticking a fork in a socket, although Barron\'s thinks the stock\'s been oversold.\nGetty Images\nGoldman Sachs doesn\'t agree. Today, analyst Michael Lapides and his team downgraded PG&E to neutral, writing that they\'re still concerned about financing and consensus estimates.\nLapides lowered his 2018 estimates by 3%, and cut between 8% and 10% off his estimates for 2019 and 2020, putting him well below the consensus. While the stock has already taken a hit since the wildly reported wildfires, he warns that it could take years for the repercussions to make their way through PG&E\'s cash flow and balance sheet. More detail from the downgrade:\nGoldman isn\'t alone. Guggenheim also put out a note on utilities today, with analyst Shahriar Pourreza and his team writing that utilities are "no longer a basket of names to own," and advising investors to favor those companies that tilt toward broader power/energy trends.\nPourreza also downgraded PG&E to Sell today:\nHe prefers Sempre (SRE) instead.\nPG&E is down 1.5% to $44.15 this afternoon.\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': "PG&E Corp. (PCG) had a tough year, falling some 27% in the past 12 months, and ending 2017 with a whimper. Today, analyst Michael Lapides and his team downgraded PG&E to neutral, writing that they're still concerned about financing and consensus estimates. While the stock has already taken a hit since the wildly reported wildfires, he warns that it could take years for the repercussions to make their way through PG&E's cash flow and balance sheet.", 'news_luhn_summary': 'The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. PG&E Corp. (PCG) had a tough year, falling some 27% in the past 12 months, and ending 2017 with a whimper. Guggenheim also put out a note on utilities today, with analyst Shahriar Pourreza and his team writing that utilities are "no longer a basket of names to own," and advising investors to favor those companies that tilt toward broader power/energy trends.', 'news_article_title': "PG&E: It's Like Sticking a Fork in a Socket", 'news_lexrank_summary': "PG&E Corp. (PCG) had a tough year, falling some 27% in the past 12 months, and ending 2017 with a whimper. The heels of devastating California wildfires pushed the stock down throughout 2017, making owning it feel like sticking a fork in a socket, although Barron's thinks the stock's been oversold. Today, analyst Michael Lapides and his team downgraded PG&E to neutral, writing that they're still concerned about financing and consensus estimates.", 'news_textrank_summary': "PG&E Corp. (PCG) had a tough year, falling some 27% in the past 12 months, and ending 2017 with a whimper. Today, analyst Michael Lapides and his team downgraded PG&E to neutral, writing that they're still concerned about financing and consensus estimates. While the stock has already taken a hit since the wildly reported wildfires, he warns that it could take years for the repercussions to make their way through PG&E's cash flow and balance sheet."}, {'news_url': 'https://seekingalpha.com/news/3320663-pg-and-e-drops-downgrades-goldman-warns-fire-claims-take-years?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'PG&E drops after downgrades; Goldman warns fire claims could take years', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134774-getting-ready-2018-results-tip-day-series-tips-may-perform-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Getting Ready For 2018: Results Of The 'Tip Of The Day' Series And How All The Tips May Perform In 2018", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.47999954223633, 'high': 44.52999877929688, 'open': 44.34000015258789, 'close': 44.4900016784668, 'ema_50': 53.51171612899822, 'rsi_14': 7.235613577356119, 'target': 43.77000045776367, 'volume': 7915100.0, 'ema_200': 60.970142728376615, 'adj_close': 44.4900016784668, 'rsi_lag_1': 9.635166315885627, 'rsi_lag_2': 13.518344536664301, 'rsi_lag_3': 12.387772007028076, 'rsi_lag_4': 10.043654155673721, 'rsi_lag_5': 10.779987435896444, 'macd_lag_1': -2.877669330458289, 'macd_lag_2': -2.8193905258168357, 'macd_lag_3': -2.70195985181757, 'macd_lag_4': -2.499537903133067, 'macd_lag_5': -2.181398838466123, 'macd_12_26_9': -2.9176579293956806, 'macds_12_26_9': -2.3699564047075543}, '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': 43.77000045776367, '2018-01-04': 43.52000045776367, '2018-01-05': 44.290000915527344, '2018-01-08': 45.22999954223633, '2018-01-09': 44.84000015258789, '2018-01-10': 44.54999923706055, '2018-01-11': 43.880001068115234, '2018-01-12': 43.81999969482422, '2018-01-16': 44.02000045776367}, '1_month_later': {'2018-02-02': 41.43999862670898}, '3_months_later': {'2018-04-02': 43.33000183105469}, '6_months_later': {'2018-07-02': 43.7400016784668}, '12_months_later': {'2019-01-02': 23.799999237060547}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PCY
{'date': '2018-01-02', 'ticker': 'PCY', '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': 29.46999931335449, 'high': 29.6299991607666, 'open': 29.5, 'close': 29.6299991607666, 'ema_50': 29.468826029943063, 'rsi_14': 68.65676740531553, 'target': 29.61000061035156, 'volume': 3118100.0, 'ema_200': 29.436061856424104, 'adj_close': 26.25596618652344, 'rsi_lag_1': 62.71199043093099, 'rsi_lag_2': 59.64918151276202, 'rsi_lag_3': 53.968350080684246, 'rsi_lag_4': 53.22574194679676, 'rsi_lag_5': 53.96835008068398, 'macd_lag_1': 0.021291697021101896, 'macd_lag_2': 0.0144516713173104, 'macd_lag_3': 0.008565720476489957, 'macd_lag_4': -8.969056251473262e-05, 'macd_lag_5': -0.006044812267909094, 'macd_12_26_9': 0.03358739829505808, 'macds_12_26_9': 0.009324537609800126}, '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': 29.61000061035156, '2018-01-04': 29.63999938964844, '2018-01-05': 29.670000076293945, '2018-01-08': 29.709999084472656, '2018-01-09': 29.549999237060547, '2018-01-10': 29.479999542236328, '2018-01-11': 29.479999542236328, '2018-01-12': 29.530000686645508, '2018-01-16': 29.549999237060547}, '1_month_later': {'2018-02-02': 28.93000030517578}, '3_months_later': {'2018-04-02': 28.15999984741211}, '6_months_later': {'2018-07-02': 26.51000022888184}, '12_months_later': {'2019-01-02': 26.420000076293945}}
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.
PCSB
{'date': '2018-01-02', 'ticker': 'PCSB', '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': 19.01499938964844, 'high': 19.290000915527344, 'open': 19.059999465942383, 'close': 19.049999237060547, 'ema_50': 19.290368336292115, 'rsi_14': 36.964987186632925, 'target': 19.200000762939453, 'volume': 25900.0, 'ema_200': 18.084777263759758, 'adj_close': 18.721698760986328, 'rsi_lag_1': 41.51622485502087, 'rsi_lag_2': 44.23074806936005, 'rsi_lag_3': 41.07142613858527, 'rsi_lag_4': 42.43542461395538, 'rsi_lag_5': 45.669303164172455, 'macd_lag_1': 0.02809755799045277, 'macd_lag_2': 0.08515459371239942, 'macd_lag_3': 0.12212330968000629, 'macd_lag_4': 0.15531422810682471, 'macd_lag_5': 0.179127899844449, 'macd_12_26_9': -0.0169254478656633, 'macds_12_26_9': 0.11085406204116534}, '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': 19.200000762939453, '2018-01-04': 18.920000076293945, '2018-01-05': 18.920000076293945, '2018-01-08': 19.01000022888184, '2018-01-09': 19.280000686645508, '2018-01-10': 19.3700008392334, '2018-01-11': 19.729999542236328, '2018-01-12': 19.790000915527344, '2018-01-16': 19.76000022888184}, '1_month_later': {'2018-02-02': 20.190000534057617}, '3_months_later': {'2018-04-02': 20.71999931335449}, '6_months_later': {'2018-07-02': 19.96999931335449}, '12_months_later': {'2019-01-02': 19.670000076293945}}
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.
PCRX
{'date': '2018-01-02', 'ticker': 'PCRX', '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': 45.54999923706055, 'high': 46.70000076293945, 'open': 45.650001525878906, 'close': 46.29999923706055, 'ema_50': 42.179344716036574, 'rsi_14': 59.54544760964132, 'target': 46.34999847412109, 'volume': 793100.0, 'ema_200': 41.30330060582267, 'adj_close': 46.29999923706055, 'rsi_lag_1': 53.88128871961001, 'rsi_lag_2': 55.50660866981655, 'rsi_lag_3': 57.563023459110404, 'rsi_lag_4': 61.06558312527066, 'rsi_lag_5': 50.81967571928189, 'macd_lag_1': 0.9193570525156289, 'macd_lag_2': 0.8780293781253903, 'macd_lag_3': 0.8328726149938532, 'macd_lag_4': 0.7987582505130177, 'macd_lag_5': 0.7130518491164963, 'macd_12_26_9': 0.9931109504083366, 'macds_12_26_9': 0.9811694397259799}, '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': 46.34999847412109, '2018-01-04': 42.900001525878906, '2018-01-05': 42.45000076293945, '2018-01-08': 42.70000076293945, '2018-01-09': 42.75, '2018-01-10': 41.5, '2018-01-11': 42.22999954223633, '2018-01-12': 41.5, '2018-01-16': 40.29999923706055}, '1_month_later': {'2018-02-02': 38.5}, '3_months_later': {'2018-04-02': 27.5}, '6_months_later': {'2018-07-02': 32.849998474121094}, '12_months_later': {'2019-01-02': 41.790000915527344}}
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.
PCQ
{'date': '2018-01-02', 'ticker': 'PCQ', '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': 17.270000457763672, 'high': 17.399999618530273, 'open': 17.299999237060547, 'close': 17.299999237060547, 'ema_50': 17.26034151092624, 'rsi_14': 31.5787228168802, 'target': 17.389999389648438, 'volume': 120900.0, 'ema_200': 16.979435081497385, 'adj_close': 15.19727611541748, 'rsi_lag_1': 42.857142857142854, 'rsi_lag_2': 41.48932284691617, 'rsi_lag_3': 47.47467936182551, 'rsi_lag_4': 51.40181751416256, 'rsi_lag_5': 50.0, 'macd_lag_1': 0.011803660487554879, 'macd_lag_2': 0.016121376413401833, 'macd_lag_3': 0.021397859265466224, 'macd_lag_4': 0.024766907351651213, 'macd_lag_5': 0.02870679189290115, 'macd_12_26_9': 0.010679384985429863, 'macds_12_26_9': 0.023469610356684115}, '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': 17.389999389648438, '2018-01-04': 17.43000030517578, '2018-01-05': 17.389999389648438, '2018-01-08': 17.510000228881836, '2018-01-09': 17.40999984741211, '2018-01-10': 17.31999969482422, '2018-01-11': 17.219999313354492, '2018-01-12': 17.260000228881836, '2018-01-16': 17.360000610351562}, '1_month_later': {'2018-02-02': 15.890000343322754}, '3_months_later': {'2018-04-02': 14.6899995803833}, '6_months_later': {'2018-07-02': 17.010000228881836}, '12_months_later': {'2019-01-02': 16.540000915527344}}
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.
PCOM
{'date': '2018-01-02', 'ticker': 'PCOM', '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': 9.949999809265137, 'high': 10.399999618530272, 'open': 10.300000190734863, 'close': 10.039999961853027, 'ema_50': 10.83472995794399, 'rsi_14': 31.428580325821727, 'target': 10.039999961853027, 'volume': 67800.0, 'ema_200': 9.910353533585896, 'adj_close': 10.039999961853027, 'rsi_lag_1': 32.765958310252344, 'rsi_lag_2': 30.07812674622886, 'rsi_lag_3': 43.189376139022166, 'rsi_lag_4': 38.123170436007776, 'rsi_lag_5': 39.634149887245535, 'macd_lag_1': -0.25392396693968955, 'macd_lag_2': -0.24867714402591723, 'macd_lag_3': -0.2383631679574183, 'macd_lag_4': -0.22987713010977018, 'macd_lag_5': -0.21875671090333348, 'macd_12_26_9': -0.27508402515486985, 'macds_12_26_9': -0.2209565009378989}, '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': 10.039999961853027, '2018-01-04': 10.050000190734863, '2018-01-05': 10.300000190734863, '2018-01-08': 10.56999969482422, '2018-01-09': 10.449999809265137, '2018-01-10': 10.489999771118164, '2018-01-11': 10.93000030517578, '2018-01-12': 11.039999961853027, '2018-01-16': 11.020000457763672}, '1_month_later': {'2018-02-02': 11.199999809265137}, '3_months_later': {'2018-04-02': 9.470000267028809}, '6_months_later': {'2018-07-02': 16.700000762939453}, '12_months_later': {'2019-01-02': 9.8100004196167}}
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.
PCN
{'date': '2018-01-02', 'ticker': 'PCN', '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': 17.1200008392334, 'high': 17.440000534057617, 'open': 17.190000534057617, 'close': 17.420000076293945, 'ema_50': 16.968223104463036, 'rsi_14': 63.00583451670092, 'target': 17.56999969482422, 'volume': 104200.0, 'ema_200': 16.713932186774468, 'adj_close': 14.219686508178713, 'rsi_lag_1': 55.41402279831521, 'rsi_lag_2': 46.95120320155937, 'rsi_lag_3': 45.625014901175405, 'rsi_lag_4': 52.830199996161305, 'rsi_lag_5': 57.396455714488866, 'macd_lag_1': 0.05741317172279281, 'macd_lag_2': 0.04304261910650098, 'macd_lag_3': 0.03425635087525691, 'macd_lag_4': 0.03272546043338309, 'macd_lag_5': 0.018077213577509355, 'macd_12_26_9': 0.08556767330830439, 'macds_12_26_9': 0.038326035754250656}, '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': 17.56999969482422, '2018-01-04': 17.65999984741211, '2018-01-05': 17.489999771118164, '2018-01-08': 17.3799991607666, '2018-01-09': 17.329999923706055, '2018-01-10': 17.139999389648438, '2018-01-11': 17.1299991607666, '2018-01-12': 17.059999465942383, '2018-01-16': 16.860000610351562}, '1_month_later': {'2018-02-02': 17.09000015258789}, '3_months_later': {'2018-04-02': 16.56999969482422}, '6_months_later': {'2018-07-02': 17.739999771118164}, '12_months_later': {'2019-01-02': 15.3100004196167}}
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.
PCM
{'date': '2018-01-02', 'ticker': 'PCM', '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': 11.56999969482422, 'high': 11.699999809265137, 'open': 11.59000015258789, 'close': 11.699999809265137, 'ema_50': 11.564670556354233, 'rsi_14': 46.47885999658826, 'target': 11.739999771118164, 'volume': 46100.0, 'ema_200': 11.223542378719715, 'adj_close': 9.397003173828123, 'rsi_lag_1': 38.970578438680555, 'rsi_lag_2': 38.970578438680484, 'rsi_lag_3': 34.645649779115516, 'rsi_lag_4': 38.52460361942784, 'rsi_lag_5': 45.833356512921014, 'macd_lag_1': -0.041757673053128386, 'macd_lag_2': -0.05432919970225214, 'macd_lag_3': -0.06653027799985267, 'macd_lag_4': -0.05568103207424713, 'macd_lag_5': -0.04916898994910035, 'macd_12_26_9': -0.02106193594467598, 'macds_12_26_9': -0.04037813163513525}, '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': 11.739999771118164, '2018-01-04': 11.739999771118164, '2018-01-05': 11.649999618530272, '2018-01-08': 11.529999732971191, '2018-01-09': 11.449999809265137, '2018-01-10': 11.449999809265137, '2018-01-11': 11.399999618530272, '2018-01-12': 11.130000114440918, '2018-01-16': 11.06999969482422}, '1_month_later': {'2018-02-02': 10.600000381469728}, '3_months_later': {'2018-04-02': 11.359999656677246}, '6_months_later': {'2018-07-02': 11.539999961853027}, '12_months_later': {'2019-01-02': 10.279999732971191}}
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.
PCK
{'date': '2018-01-02', 'ticker': 'PCK', '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': 10.270000457763672, 'open': 10.1899995803833, 'close': 10.1899995803833, 'ema_50': 10.147148896214214, 'rsi_14': 53.84613973858409, 'target': 9.93000030517578, 'volume': 187500.0, 'ema_200': 10.10237187966301, 'adj_close': 10.1899995803833, 'rsi_lag_1': 47.1698452713195, 'rsi_lag_2': 44.642841937653806, 'rsi_lag_3': 49.18031249120591, 'rsi_lag_4': 52.30766296397899, 'rsi_lag_5': 53.030287705020946, 'macd_lag_1': 0.01362911229039021, 'macd_lag_2': 0.01577843757937991, 'macd_lag_3': 0.013201325163166189, 'macd_lag_4': 0.013792696701861118, 'macd_lag_5': 0.01638329103152003, 'macd_12_26_9': 0.014182991548397084, 'macds_12_26_9': 0.015809253413692475}, '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': 9.93000030517578, '2018-01-04': 9.59000015258789, '2018-01-05': 9.199999809265137, '2018-01-08': 9.100000381469728, '2018-01-09': 9.079999923706056, '2018-01-10': 9.239999771118164, '2018-01-11': 9.300000190734863, '2018-01-12': 9.229999542236328, '2018-01-16': 9.109999656677246}, '1_month_later': {'2018-02-02': 8.289999961853027}, '3_months_later': {'2018-04-02': 8.220000267028809}, '6_months_later': {'2018-07-02': 8.359999656677246}, '12_months_later': {'2019-01-02': 7.989999771118164}}
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.
PCI
{'date': '2018-01-02', 'ticker': 'PCI', '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': 22.459999084472656, 'high': 22.600000381469727, 'open': 22.530000686645508, 'close': 22.5, 'ema_50': 22.49225453593152, 'rsi_14': 43.83556990865588, 'target': 22.450000762939453, 'volume': 788700.0, 'ema_200': 22.15102391883641, 'adj_close': 22.5, 'rsi_lag_1': 38.8059361575538, 'rsi_lag_2': 29.6295249734504, 'rsi_lag_3': 23.076810215604752, 'rsi_lag_4': 20.987540943460274, 'rsi_lag_5': 32.63149229728293, 'macd_lag_1': -0.04152149865247878, 'macd_lag_2': -0.04983144079611179, 'macd_lag_3': -0.05767671756646564, 'macd_lag_4': -0.06074217294734652, 'macd_lag_5': -0.06275308108628508, 'macd_12_26_9': -0.029751398565593945, 'macds_12_26_9': -0.04349906349890266}, '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': 22.450000762939453, '2018-01-04': 22.559999465942383, '2018-01-05': 22.59000015258789, '2018-01-08': 22.6299991607666, '2018-01-09': 22.5, '2018-01-10': 22.31999969482422, '2018-01-11': 22.31999969482422, '2018-01-12': 22.270000457763672, '2018-01-16': 22.299999237060547}, '1_month_later': {'2018-02-02': 22.290000915527344}, '3_months_later': {'2018-04-02': 23.030000686645508}, '6_months_later': {'2018-07-02': 23.670000076293945}, '12_months_later': {'2019-01-02': 21.25}}
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.
PCTY
{'date': '2018-01-02', 'ticker': 'PCTY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.0, 'high': 47.900001525878906, 'open': 47.40999984741211, 'close': 47.72999954223633, 'ema_50': 47.4529382550198, 'rsi_14': 58.143082093313296, 'target': 47.5, 'volume': 325300.0, 'ema_200': 45.541057368389055, 'adj_close': 47.72999954223633, 'rsi_lag_1': 62.53407375262131, 'rsi_lag_2': 62.888001709150906, 'rsi_lag_3': 61.26763022768387, 'rsi_lag_4': 64.35788373919783, 'rsi_lag_5': 69.78194423647803, 'macd_lag_1': -0.11125835902165448, 'macd_lag_2': -0.14051456568494558, 'macd_lag_3': -0.15239414057025158, 'macd_lag_4': -0.12054029575065073, 'macd_lag_5': -0.10663885977114518, 'macd_12_26_9': -0.041598866931707335, 'macds_12_26_9': -0.1946746483619331}, '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': 47.5, '2018-01-04': 48.66999816894531, '2018-01-05': 47.95000076293945, '2018-01-08': 48.63999938964844, '2018-01-09': 48.18999862670898, '2018-01-10': 47.810001373291016, '2018-01-11': 48.72999954223633, '2018-01-12': 49.63999938964844, '2018-01-16': 48.75}, '1_month_later': {'2018-02-02': 50.59999847412109}, '3_months_later': {'2018-04-02': 50.02999877929688}, '6_months_later': {'2018-07-02': 60.38999938964844}, '12_months_later': {'2019-01-02': 59.54999923706055}}
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.
PBCT
{'date': '2018-01-02', 'ticker': 'PBCT', '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/4134856-new-year-3-new-dividend-aristocrats?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'A New Year And 3 New Dividend Aristocrats', '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': 18.64999961853028, 'high': 18.93000030517578, 'open': 18.82999992370605, 'close': 18.799999237060547, 'ema_50': 18.55787502170176, 'rsi_14': 53.723393462248644, 'target': 18.71999931335449, 'volume': 2783800.0, 'ema_200': 17.9400955914011, 'adj_close': 16.910667419433594, 'rsi_lag_1': 46.42858533053589, 'rsi_lag_2': 50.83800847118986, 'rsi_lag_3': 48.83723767015054, 'rsi_lag_4': 47.72727519027427, 'rsi_lag_5': 41.79104760874498, 'macd_lag_1': 0.08637150819007644, 'macd_lag_2': 0.10695868580160806, 'macd_lag_3': 0.10927971789076452, 'macd_lag_4': 0.12490715898853821, 'macd_lag_5': 0.13387297323182779, 'macd_12_26_9': 0.07723474864436852, 'macds_12_26_9': 0.10884727262051082}, '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': 18.71999931335449, '2018-01-04': 18.84000015258789, '2018-01-05': 18.940000534057617, '2018-01-08': 18.96999931335449, '2018-01-09': 19.06999969482422, '2018-01-10': 19.25, '2018-01-11': 19.479999542236328, '2018-01-12': 19.479999542236328, '2018-01-16': 19.38999938964844}, '1_month_later': {'2018-02-02': 19.6299991607666}, '3_months_later': {'2018-04-02': 18.3700008392334}, '6_months_later': {'2018-07-02': 18.209999084472656}, '12_months_later': {'2019-01-02': 14.6899995803833}}
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.
pba
{'date': '2018-01-02', 'ticker': 'pba', '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': 36.20000076293945, 'high': 36.61000061035156, 'open': 36.27000045776367, 'close': 36.560001373291016, 'ema_50': 34.92206623072554, 'rsi_14': 73.86762082742965, 'target': 36.540000915527344, 'volume': 330100.0, 'ema_200': 33.46618342675702, 'adj_close': 25.576784133911133, 'rsi_lag_1': 70.0, 'rsi_lag_2': 71.26437453595169, 'rsi_lag_3': 70.35571692218616, 'rsi_lag_4': 66.01563431323463, 'rsi_lag_5': 63.59830365365677, 'macd_lag_1': 0.3347263427316989, 'macd_lag_2': 0.29761837847359374, 'macd_lag_3': 0.24592612767911248, 'macd_lag_4': 0.19673462521629403, 'macd_lag_5': 0.14025043760592837, 'macd_12_26_9': 0.39029846440483595, 'macds_12_26_9': 0.2506167043153442}, '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': 36.540000915527344, '2018-01-04': 36.77000045776367, '2018-01-05': 36.619998931884766, '2018-01-08': 36.380001068115234, '2018-01-09': 36.0099983215332, '2018-01-10': 34.97999954223633, '2018-01-11': 35.349998474121094, '2018-01-12': 35.43000030517578, '2018-01-16': 35.209999084472656}, '1_month_later': {'2018-02-02': 32.81999969482422}, '3_months_later': {'2018-04-02': 30.38999938964844}, '6_months_later': {'2018-07-02': 34.619998931884766}, '12_months_later': {'2019-01-02': 30.3700008392334}}
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.
OXM
{'date': '2018-01-02', 'ticker': 'OXM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 75.29000091552734, 'high': 77.3499984741211, 'open': 75.6500015258789, 'close': 77.3499984741211, 'ema_50': 69.03720412775142, 'rsi_14': 82.00757014740763, 'target': 76.30999755859375, 'volume': 242600.0, 'ema_200': 63.72172590668011, 'adj_close': 73.81700134277344, 'rsi_lag_1': 73.94761853097538, 'rsi_lag_2': 66.66664058330738, 'rsi_lag_3': 68.04323167822452, 'rsi_lag_4': 79.23320035938553, 'rsi_lag_5': 76.92807879513495, 'macd_lag_1': 2.4204807911117854, 'macd_lag_2': 2.4614131844886202, 'macd_lag_3': 2.412691855132863, 'macd_lag_4': 2.3266120844617006, 'macd_lag_5': 2.2226103937952786, 'macd_12_26_9': 2.533134801291098, 'macds_12_26_9': 2.277508343635717}, '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': 76.30999755859375, '2018-01-04': 79.41000366210938, '2018-01-05': 80.01000213623047, '2018-01-08': 79.25, '2018-01-09': 78.58999633789062, '2018-01-10': 81.2300033569336, '2018-01-11': 82.16999816894531, '2018-01-12': 82.27999877929688, '2018-01-16': 81.5999984741211}, '1_month_later': {'2018-02-02': 79.19999694824219}, '3_months_later': {'2018-04-02': 72.70999908447266}, '6_months_later': {'2018-07-02': 83.44000244140625}, '12_months_later': {'2019-01-02': 72.5999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OXLCO
{'date': '2018-01-02', 'ticker': 'OXLCO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.gurufocus.com/news/617402/oxford-lane-capital-corp-announces-that-it-has-entered-into-a-425-million-repurchase-transaction-with-nomura-securities-international-inc-', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Oxford Lane Capital Corp. announces that it has entered into a $4—. ...', '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': 25.46999931335449, 'high': 25.46999931335449, 'open': 25.46999931335449, 'close': 25.46999931335449, 'ema_50': 25.37020135512217, 'rsi_14': 59.99993642155044, 'target': 25.43000030517578, 'volume': 300.0, 'ema_200': 25.39623793612363, 'adj_close': 21.11678504943848, 'rsi_lag_1': 43.93938080334361, 'rsi_lag_2': 54.545454545454504, 'rsi_lag_3': 53.33341810459923, 'rsi_lag_4': 52.054848208523275, 'rsi_lag_5': 56.33808114076327, 'macd_lag_1': 0.012372180678720923, 'macd_lag_2': 0.010571626102130693, 'macd_lag_3': 0.0060832843633136235, 'macd_lag_4': 0.00535687545391994, 'macd_lag_5': 0.008424615838478644, 'macd_12_26_9': 0.01922589931383456, 'macds_12_26_9': 0.009737896724211739}, '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': 25.43000030517578, '2018-01-04': 25.43000030517578, '2018-01-05': 25.309999465942383, '2018-01-08': 25.51000022888184, '2018-01-10': 25.36000061035156, '2018-01-11': 25.39999961853028, '2018-01-12': 25.39999961853028, '2018-01-16': 25.420000076293945}, '1_month_later': {'2018-02-02': 25.32999992370605}, '3_months_later': {'2018-04-02': 25.309999465942383}, '6_months_later': {'2018-07-02': 25.209999084472656}, '12_months_later': {'2019-01-02': 25.229999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OXLCM
{'date': '2018-01-02', 'ticker': 'OXLCM', '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': 25.13999938964844, 'high': 25.26300048828125, 'open': 25.13999938964844, 'close': 25.26300048828125, 'ema_50': 25.275638939072486, 'rsi_14': 52.286352415657824, 'target': 25.290000915527344, 'volume': 1800.0, 'ema_200': 25.198160328773813, 'adj_close': 21.302602767944336, 'rsi_lag_1': 41.37210427389722, 'rsi_lag_2': 40.77865328392923, 'rsi_lag_3': 45.265024943737096, 'rsi_lag_4': 51.02461979824197, 'rsi_lag_5': 46.282430353179656, 'macd_lag_1': -0.034528221460462305, 'macd_lag_2': -0.036613188558607845, 'macd_lag_3': -0.038843765729943414, 'macd_lag_4': -0.03603476747817069, 'macd_lag_5': -0.03701634779515928, 'macd_12_26_9': -0.027395716696062777, 'macds_12_26_9': -0.034394372538330956}, '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': 25.290000915527344, '2018-01-04': 25.25, '2018-01-05': 25.229999542236328, '2018-01-08': 25.350000381469727, '2018-01-09': 25.23500061035156, '2018-01-10': 25.36000061035156, '2018-01-11': 25.14999961853028, '2018-01-12': 25.190000534057617, '2018-01-16': 25.165000915527344}, '1_month_later': {'2018-02-02': 25.350000381469727}, '3_months_later': {'2018-04-02': 25.5}, '6_months_later': {'2018-07-02': 25.52400016784668}, '12_months_later': {'2019-01-02': 25.100000381469727}}
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.
OXLC
{'date': '2018-01-02', 'ticker': 'OXLC', '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/oxford-lane-capital-signs-repurchase-agreement-nomura-securities-cdos-2018-01-02', 'news_author': None, 'news_article': 'Oxford Lane Capital ( OXLC ) said late Tuesday it signed a repurchase pact with Nomura Securities International under which it sold collateralized loan obligation (CDOs) securities to Nomura with a market value of about $106.2 million for a purchase price of roughly $42.5 million.\nAt the end of the repo term, the company is obligated to repurchase those securities for the original purchase price plus accrued but unpaid funding costs, according to a statement.\nThe repo, which has a nine-month term that may be extended by mutual agreement, has a funding cost of 3-month LIBOR plus 3.35% per annum, which may be adjusted in the event of an extension of the Repo term.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nCopyright (C) 2016 MTNewswires.com. All rights reserved. Unauthorized reproduction is strictly prohibited.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Oxford Lane Capital ( OXLC ) said late Tuesday it signed a repurchase pact with Nomura Securities International under which it sold collateralized loan obligation (CDOs) securities to Nomura with a market value of about $106.2 million for a purchase price of roughly $42.5 million. At the end of the repo term, the company is obligated to repurchase those securities for the original purchase price plus accrued but unpaid funding costs, according to a statement. The repo, which has a nine-month term that may be extended by mutual agreement, has a funding cost of 3-month LIBOR plus 3.35% per annum, which may be adjusted in the event of an extension of the Repo term.', 'news_luhn_summary': 'The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. Oxford Lane Capital ( OXLC ) said late Tuesday it signed a repurchase pact with Nomura Securities International under which it sold collateralized loan obligation (CDOs) securities to Nomura with a market value of about $106.2 million for a purchase price of roughly $42.5 million. At the end of the repo term, the company is obligated to repurchase those securities for the original purchase price plus accrued but unpaid funding costs, according to a statement.', 'news_article_title': 'Oxford Lane Capital Signs Repurchase Agreement With Nomura Securities for CDOs', 'news_lexrank_summary': 'Oxford Lane Capital ( OXLC ) said late Tuesday it signed a repurchase pact with Nomura Securities International under which it sold collateralized loan obligation (CDOs) securities to Nomura with a market value of about $106.2 million for a purchase price of roughly $42.5 million. At the end of the repo term, the company is obligated to repurchase those securities for the original purchase price plus accrued but unpaid funding costs, according to a statement. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_textrank_summary': 'Oxford Lane Capital ( OXLC ) said late Tuesday it signed a repurchase pact with Nomura Securities International under which it sold collateralized loan obligation (CDOs) securities to Nomura with a market value of about $106.2 million for a purchase price of roughly $42.5 million. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.'}, {'news_url': 'http://www.gurufocus.com/news/617402/oxford-lane-capital-corp-announces-that-it-has-entered-into-a-425-million-repurchase-transaction-with-nomura-securities-international-inc-', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Oxford Lane Capital Corp. announces that it has entered into a $4—. ...', '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': 10.029999732971191, 'high': 10.300000190734863, 'open': 10.029999732971191, 'close': 10.220000267028809, 'ema_50': 10.100545897704388, 'rsi_14': 51.95313140283926, 'target': 10.489999771118164, 'volume': 370800.0, 'ema_200': 10.436318630524857, 'adj_close': 6.372801780700684, 'rsi_lag_1': 50.202433682988, 'rsi_lag_2': 50.40321572762452, 'rsi_lag_3': 49.80081119332804, 'rsi_lag_4': 44.29823754199517, 'rsi_lag_5': 39.62262368532325, 'macd_lag_1': -0.08173928386041673, 'macd_lag_2': -0.10916018048954079, 'macd_lag_3': -0.14155322625744482, 'macd_lag_4': -0.1828759861733964, 'macd_lag_5': -0.20852240250654575, 'macd_12_26_9': -0.045762913932549054, 'macds_12_26_9': -0.12863464708874525}, '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': 10.489999771118164, '2018-01-04': 10.369999885559082, '2018-01-05': 10.029999732971191, '2018-01-08': 9.449999809265137, '2018-01-09': 9.960000038146973, '2018-01-10': 10.020000457763672, '2018-01-11': 10.15999984741211, '2018-01-12': 10.34000015258789, '2018-01-16': 10.31999969482422}, '1_month_later': {'2018-02-02': 10.06999969482422}, '3_months_later': {'2018-04-02': 10.210000038146973}, '6_months_later': {'2018-07-02': 10.5600004196167}, '12_months_later': {'2019-01-02': 9.899999618530272}}
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.
OXBR
{'date': '2018-01-02', 'ticker': 'OXBR', '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/3320695-financials-top-5-gainers-losers-1-00-pm?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Financials - Top 5 Gainers / Losers as of 1:00 PM', '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': 2.150000095367432, 'high': 2.3499999046325684, 'open': 2.150000095367432, 'close': 2.200000047683716, 'ema_50': 2.767640199672985, 'rsi_14': 44.861883227085606, 'target': 2.150000095367432, 'volume': 27000.0, 'ema_200': 4.283962509961368, 'adj_close': 2.200000047683716, 'rsi_lag_1': 39.03510033185143, 'rsi_lag_2': 38.22221303869029, 'rsi_lag_3': 47.09976990664333, 'rsi_lag_4': 44.45797064749407, 'rsi_lag_5': 49.93850382173672, 'macd_lag_1': -0.1744388077620438, 'macd_lag_2': -0.18094415066342995, 'macd_lag_3': -0.1815244903549087, 'macd_lag_4': -0.18980669135753203, 'macd_lag_5': -0.19262787351104382, 'macd_12_26_9': -0.16336552230966417, 'macds_12_26_9': -0.18949431565066044}, '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': 2.150000095367432, '2018-01-04': 2.200000047683716, '2018-01-05': 2.150000095367432, '2018-01-08': 2.200000047683716, '2018-01-09': 2.200000047683716, '2018-01-10': 2.211999893188477, '2018-01-11': 2.200000047683716, '2018-01-12': 2.200000047683716, '2018-01-16': 2.299999952316284}, '1_month_later': {'2018-02-02': 2.400000095367432}, '3_months_later': {'2018-04-02': 2.3499999046325684}, '6_months_later': {'2018-07-02': 1.75}, '12_months_later': {'2019-01-02': 0.7900000214576721}}
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.