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TGH
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{'date': '2018-01-02', 'ticker': 'TGH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 21.75, 'high': 22.39999961853028, 'open': 21.75, 'close': 22.25, 'ema_50': 21.156872283055872, 'rsi_14': 55.072470979266264, 'target': 21.850000381469727, 'volume': 190400.0, 'ema_200': 17.388456002793877, 'adj_close': 22.25, 'rsi_lag_1': 46.56487927209746, 'rsi_lag_2': 47.28681826690295, 'rsi_lag_3': 45.161286353071844, 'rsi_lag_4': 46.280984961263485, 'rsi_lag_5': 47.05881975808404, 'macd_lag_1': 0.033271478439207414, 'macd_lag_2': 0.07137178538649991, 'macd_lag_3': 0.07823626276142903, 'macd_lag_4': 0.17749617485743485, 'macd_lag_5': 0.24560623234315315, 'macd_12_26_9': 0.06287070828461339, 'macds_12_26_9': 0.16280798702206029}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 21.850000381469727, '2018-01-04': 21.89999961853028, '2018-01-05': 22.0, '2018-01-08': 22.79999923706055, '2018-01-09': 23.29999923706055, '2018-01-10': 22.95000076293945, '2018-01-11': 23.85000038146973, '2018-01-12': 24.75, '2018-01-16': 24.0}, '1_month_later': {'2018-02-02': 22.89999961853028}, '3_months_later': {'2018-04-02': 16.450000762939453}, '6_months_later': {'2018-07-02': 15.600000381469728}, '12_months_later': {'2019-01-02': 10.649999618530272}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TIP
|
{'date': '2018-01-02', 'ticker': 'TIP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/notable-etf-inflow-detected-tip-2018-01-02', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the iShares TIPS Bond ETF (Symbol: TIP) where we have detected an approximate $148.3 million dollar inflow -- that's a 0.6% increase week over week in outstanding units (from 210,400,000 to 211,700,000). The chart below shows the one year price performance of TIP, versus its 200 day moving average:\nLooking at the chart above, TIP's low point in its 52 week range is $112.39 per share, with $115.46 as the 52 week high point - that compares with a last trade of $113.80. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average » .\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs had notable inflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "The chart below shows the one year price performance of TIP, versus its 200 day moving average: Looking at the chart above, TIP's low point in its 52 week range is $112.39 per share, with $115.46 as the 52 week high point - that compares with a last trade of $113.80. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the iShares TIPS Bond ETF (Symbol: TIP) where we have detected an approximate $148.3 million dollar inflow -- that's a 0.6% increase week over week in outstanding units (from 210,400,000 to 211,700,000). These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "The chart below shows the one year price performance of TIP, versus its 200 day moving average: Looking at the chart above, TIP's low point in its 52 week range is $112.39 per share, with $115.46 as the 52 week high point - that compares with a last trade of $113.80. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the iShares TIPS Bond ETF (Symbol: TIP) where we have detected an approximate $148.3 million dollar inflow -- that's a 0.6% increase week over week in outstanding units (from 210,400,000 to 211,700,000). Click here to find out which 9 other ETFs had notable inflows » The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_article_title': 'Notable ETF Inflow Detected - TIP', 'news_lexrank_summary': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the iShares TIPS Bond ETF (Symbol: TIP) where we have detected an approximate $148.3 million dollar inflow -- that's a 0.6% increase week over week in outstanding units (from 210,400,000 to 211,700,000). The chart below shows the one year price performance of TIP, versus its 200 day moving average: Looking at the chart above, TIP's low point in its 52 week range is $112.39 per share, with $115.46 as the 52 week high point - that compares with a last trade of $113.80. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_textrank_summary': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the iShares TIPS Bond ETF (Symbol: TIP) where we have detected an approximate $148.3 million dollar inflow -- that's a 0.6% increase week over week in outstanding units (from 210,400,000 to 211,700,000). The chart below shows the one year price performance of TIP, versus its 200 day moving average: Looking at the chart above, TIP's low point in its 52 week range is $112.39 per share, with $115.46 as the 52 week high point - that compares with a last trade of $113.80. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed)."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 113.61000061035156, 'high': 113.9800033569336, 'open': 113.9800033569336, 'close': 113.8000030517578, 'ema_50': 113.74402179280341, 'rsi_14': 53.84624413489926, 'target': 113.91000366210938, 'volume': 1525000.0, 'ema_200': 113.90056554476153, 'adj_close': 108.329345703125, 'rsi_lag_1': 58.09126134910293, 'rsi_lag_2': 51.15214502190409, 'rsi_lag_3': 46.9298363025525, 'rsi_lag_4': 37.30575683186478, 'rsi_lag_5': 37.948667788254625, 'macd_lag_1': -0.0495350934004648, 'macd_lag_2': -0.0999621105505355, 'macd_lag_3': -0.13334396125128478, 'macd_lag_4': -0.1699389725828837, 'macd_lag_5': -0.16632100497332658, 'macd_12_26_9': -0.03179832909972902, 'macds_12_26_9': -0.08363889007760016}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 113.91000366210938, '2018-01-04': 113.94000244140624, '2018-01-05': 113.91999816894533, '2018-01-08': 113.8000030517578, '2018-01-09': 113.43000030517578, '2018-01-10': 113.38999938964844, '2018-01-11': 113.2699966430664, '2018-01-12': 113.37999725341795, '2018-01-16': 113.56999969482422}, '1_month_later': {'2018-02-02': 112.37000274658205}, '3_months_later': {'2018-04-02': 112.87000274658205}, '6_months_later': {'2018-07-02': 112.4800033569336}, '12_months_later': {'2019-01-02': 109.68000030517578}}
|
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.
|
TIPX
|
{'date': '2018-01-02', 'ticker': 'TIPX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 19.239999771118164, 'high': 19.280000686645508, 'open': 19.280000686645508, 'close': 19.270000457763672, 'ema_50': 19.4110663405748, 'rsi_14': 33.33347461757862, 'target': 19.270000457763672, 'volume': 1545500.0, 'ema_200': 19.50955760150134, 'adj_close': 18.31782341003418, 'rsi_lag_1': 34.091066722152604, 'rsi_lag_2': 32.55827363658513, 'rsi_lag_3': 31.11121471955778, 'rsi_lag_4': 26.190497815641194, 'rsi_lag_5': 23.809848185537007, 'macd_lag_1': -0.06494970317885418, 'macd_lag_2': -0.070020492857779, 'macd_lag_3': -0.07343777427046305, 'macd_lag_4': -0.07673128219326841, 'macd_lag_5': -0.07370967382956906, 'macd_12_26_9': -0.061832172816924214, 'macds_12_26_9': -0.061016131393497076}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 19.270000457763672, '2018-01-04': 19.270000457763672, '2018-01-05': 19.290000915527344, '2018-01-08': 19.25, '2018-01-09': 19.229999542236328, '2018-01-10': 19.239999771118164, '2018-01-11': 19.209999084472656, '2018-01-12': 19.21999931335449, '2018-01-16': 19.229999542236328}, '1_month_later': {'2018-02-02': 19.06999969482422}, '3_months_later': {'2018-04-02': 19.190000534057614}, '6_months_later': {'2018-07-02': 19.200000762939453}, '12_months_later': {'2019-01-02': 18.88999938964844}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TM
|
{'date': '2018-01-02', 'ticker': 'TM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/retail-sales/18/01/10973854/automakers-will-release-monthly-auto-sales-data-wed-jan-3-including', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Automakers Will Release Monthly Auto Sales Data Wed., Jan. 3, Including Production Figures From Tesla', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.nasdaq.com/articles/near-wholesale-death-passenger-car-looms-us-sales-drop-2018-01-02', 'news_author': None, 'news_article': 'Ford Motor ( F ) and General Motors ( GM ) topped December sales forecasts Wednesday, but the auto industry closed out a weaker year and faces an even worse 2018.\n[ibd-display-video id=3061207 width=50 float=left autostart=true] Overall, the annualized pace of U.S. sales fell to 17.23 million for all of 2017, according to Autodata, better than views for 17.1 million but down from 17.55 million in 2016, marking the first slowdown after seven years of growth. Analysts see a further drop to 16.7 million in 2018.\nMeanwhile, incentive spending is high; a glut of off-lease, used vehicles is muting new car demand; and rising interest rates could make vehicles less affordable. Automakers have cut production and idled factory workers to match slowing demand.\nYet, strong sales of SUVs, crossover utility vehicles and pickup trucks are helping to offset what one industry expert called "the near wholesale death" of the passenger car.\n"This is a paradigm shift in consumer behavior, and the fallout will be reflected over the next few years as automakers make hard choices regarding which model lines will live or die," said Karl Brauer, executive editor of Kelley Blue Book.\nAutomakers would do well to align product and marketing with consumer demand going forward, said Rebecca Lindland, executive analyst for KBB.\nAs examples, she noted Ford\'s delay in bringing its globally successful Ecosport small SUV to the U.S. market; Fiat Chrysler\'s focus on the poorly received Patriot and Compass instead of the iconic Jeep brand; and GM\'s marketing emphasis on sports sedans, with TV ads showing Cadillacs being driven on cobblestone Manhattan streets, hardly the goal of most prospective buyers.\nHere\'s how the top auto brands fared in December, which saw an annualized sales pace of 17.9 million:\nGeneral Motors\nKelley Blue Book sales estimate : 294,000; down 7.9%\nEdmunds.com sales estimate : 301,617; down 5.5%\nResults : 308,539, down 3.3% vs. a year ago. Retail sales rose 1.8% to 254,449, but fleet sales plunged 22%. For 2017 as a whole, GM sold 3 million units, down 1.3%.\nFor 2018, GM forecasts new car sales in the high 16 million-unit range in the light vehicle segment, which includes SUVs, crossovers and pickup trucks.\nGM is well positioned heading into the new year because of its low inventories and focus on trucks and crossovers, which are in high demand among consumers, the company said in a Wednesday statement. On a retail basis, 78% of GM sales are now trucks and crossovers, compared with an industry average of 65%, GM added.\nGM rose 2.4% to close at 42.82 on the stock market today , retaking the downward-sloping 50-day moving average. General Motors is trying to start building the right side of a consolidation.\nFord Motor\nKelley Blue Book sales estimate : 232,000; down 2.4%\nEdmunds.com sales estimate : 234,957; down 2.0%\nResults : 242,049, up 0.9%, helped by a 16.8% surge in fleet sales. Retail sales slid 4% to 176,164. SUV sales rose 8%, truck sales dipped 1% and car sales slid 5.5%.\nFor 2017 overall, Ford sold 2,586,715 vehicles, down 1.1%.\nFord stock rose 0.8% to 12.76.\nFiat Chrysler\nKelley Blue Book sales estimate : 170,000; down 11.7%\nEdmunds.com sales estimate : 176,641; down 8.2%\nResults : 171,946, down 11%. Retail sales fell 3% to 150,772, and fleet sales dived 42% to 21,174 units, as Fiat Chrysler ( FCAU ) deliberately retreats from the low-margin daily rental segment.\nFor the year, Fiat Chrysler sold 2,059,376 vehicles, down 8%.\nShares gapped up 4.1% to 19.19, back above an 18.43 buy point after initially clearing the entry in late December. The stock\'s relative strength line did not confirm that breakout, which soon wilted.\nIBD\'S TAKE:Looking for high quality stocks with the potential for big gains? Make sure to check out Leaderboard, IBD\'s curated list of top growth stocks. If you\'re new to IBD, you can take a free trial of Leaderboard .\nToyota Motor\nKelley Blue Book sales estimate : 220,000; down 9.6%\nEdmunds.com sales estimate : 227,481; down 6.5%\nResults : 222,985, down 8.3%. Toyota ( TM ) segment sales volume fell 7.2%. Lexus shrank 13.9%. For the year, Toyota sold 2,434,515 vehicles, down 0.6%.\nShares rose 1.4% to 130.13, after retaking a 128.21 buy point on Tuesday.\nHonda\nKelley Blue Book sales estimate : 152,000; down 5.3%\nEdmunds.com sales estimate : 151,229; down 5.8%\nResults : 149,317, down 7%. Car sales tumbled 16.5%. Truck sales grew 1.4%. For the year, sales ticked 0.2% higher to 1.64 million.\nHonda ( HMC ) rose 0.9%, slightly extended from a recent breakout.\nNissan\nKelley Blue Book sales estimate : 144,000; down 5.7%\nEdmunds.com sales estimate : 144,540; down 5.4%\nResults : 138,226, down 9.5%. Nissan division sales fell 9.4%; Infiniti division sales fell 10%. For the year, sales rose 1.9% to 1.59 million, an all-time record thanks to a 15% jump in SUV, crossover and truck sales including the top-selling Nissan Rogue.\nNissan (NSANY) shares edged up 1%.\nHyundai-Kia\nKelley Blue Book sales estimate : 106,000; down 9.1%\nEdmunds.com sales estimate : 103,473; down 11.3%\nResults : The Kia brand sold 43,039 units, down 21%. For the year, it sold 589,668 vehicles, down 9%. Results for Hyundai are awaited.\nYOU MIGHT BE INTERESTED IN:\nStocks To Buy And Watch: Top IPOs, Big And Small Caps, Growth Stocks\nLooking For The Best Stocks To Buy And Watch? Start Here\nAutomotive Industry News\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': 'Toyota ( TM ) segment sales volume fell 7.2%. Yet, strong sales of SUVs, crossover utility vehicles and pickup trucks are helping to offset what one industry expert called "the near wholesale death" of the passenger car. "This is a paradigm shift in consumer behavior, and the fallout will be reflected over the next few years as automakers make hard choices regarding which model lines will live or die," said Karl Brauer, executive editor of Kelley Blue Book.', 'news_luhn_summary': "Toyota ( TM ) segment sales volume fell 7.2%. Ford Motor ( F ) and General Motors ( GM ) topped December sales forecasts Wednesday, but the auto industry closed out a weaker year and faces an even worse 2018. Here's how the top auto brands fared in December, which saw an annualized sales pace of 17.9 million: General Motors Kelley Blue Book sales estimate : 294,000; down 7.9% Edmunds.com sales estimate : 301,617; down 5.5% Results : 308,539, down 3.3% vs. a year ago.", 'news_article_title': "'Near Wholesale Death' Of Passenger Car Looms As U.S. Sales Drop", 'news_lexrank_summary': 'Toyota ( TM ) segment sales volume fell 7.2%. For 2018, GM forecasts new car sales in the high 16 million-unit range in the light vehicle segment, which includes SUVs, crossovers and pickup trucks. Ford stock rose 0.8% to 12.76.', 'news_textrank_summary': "Toyota ( TM ) segment sales volume fell 7.2%. Here's how the top auto brands fared in December, which saw an annualized sales pace of 17.9 million: General Motors Kelley Blue Book sales estimate : 294,000; down 7.9% Edmunds.com sales estimate : 301,617; down 5.5% Results : 308,539, down 3.3% vs. a year ago. Ford Motor Kelley Blue Book sales estimate : 232,000; down 2.4% Edmunds.com sales estimate : 234,957; down 2.0% Results : 242,049, up 0.9%, helped by a 16.8% surge in fleet sales."}, {'news_url': 'https://www.nasdaq.com/articles/magna-completes-a-couple-of-common-share-repurchase-programs-2018-01-02', 'news_author': None, 'news_article': 'Magna International Inc.MGA has concluded the second program of its two share repurchase initiatives, announced on Nov 21, 2017. The two programs followed two separate issuer bid exemption orders issued by the Ontario Securities Commission.\nMagna planned to cancel the common shares purchased through these two programs.\nOn completing the first program announced on Dec 6, the company repurchased a total of 1,472,000 common shares for an aggregate price of $101.2 million.\nMagna International, Inc. Price and Consensus\nMagna International, Inc. Price and Consensus | Magna International, Inc. Quote\nIn the second program announced on Dec 29, it bought back 395,100 common shares for an approximate price of CAD $27.5 million. Shares acquired from both the programs have been canceled.\nThese buyback programs are part of Magna\'s normal course issuer bid for up to 35,800,000 common shares.\nPrior to this, in the third quarter of 2017, Magna repurchased shares worth 8.7 million for $422 million. Further, it paid a dividend of $99 million.\nThe company regularly undertakes such capital deployment strategies, focusing on improving shareholder value and also to increase share prices.\nPrice Performance\nShares of Magna have gained 5.3% in the last three months, outperforming the 0.4% gain of the industry it belongs to.\nZacks Rank & Key Picks\nMagna carries a Zacks Rank #3 (Hold). A few better-ranked stocks in the auto space are Toyota Motor Corporation TM , Oshkosh Corporation OSK and Allison Transmission Holdings, Inc. ALSN . While Toyota and Oshkosh sport a Zacks Rank #1 (Strong Buy), Allison Transmission carries a Zacks Rank #2 (Buy). You can see the complete list of today\'s Zacks #1 Rank stocks here .\nToyota has an expected long-term growth rate of 6.2%. The stock has seen the Zacks Consensus Estimate for current fiscal earnings being raised 5.6% over the last 60 days.\nOshkosh has an expected long-term growth rate of 16.5%. In the last three months, shares of the company have gained 9%.\nAllison Transmission has an expected long-term growth rate of 10%. In the last three months, shares of the company have rallied 17.4%.\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\nToyota Motor Corp Ltd Ord (TM): Free Stock Analysis Report\nMagna International, Inc. (MGA): Free Stock Analysis Report\nAllison Transmission Holdings, Inc. (ALSN): Free Stock Analysis Report\nOshkosh Corporation (OSK): 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': 'A few better-ranked stocks in the auto space are Toyota Motor Corporation TM , Oshkosh Corporation OSK and Allison Transmission Holdings, Inc. ALSN . Download it free >> Want the latest recommendations from Zacks Investment Research? Click to get this free report Toyota Motor Corp Ltd Ord (TM): Free Stock Analysis Report Magna International, Inc. (MGA): Free Stock Analysis Report Allison Transmission Holdings, Inc. (ALSN): Free Stock Analysis Report Oshkosh Corporation (OSK): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_luhn_summary': 'A few better-ranked stocks in the auto space are Toyota Motor Corporation TM , Oshkosh Corporation OSK and Allison Transmission Holdings, Inc. ALSN . Click to get this free report Toyota Motor Corp Ltd Ord (TM): Free Stock Analysis Report Magna International, Inc. (MGA): Free Stock Analysis Report Allison Transmission Holdings, Inc. (ALSN): Free Stock Analysis Report Oshkosh Corporation (OSK): Free Stock Analysis Report To read this article on Zacks.com click here. Download it free >> Want the latest recommendations from Zacks Investment Research?', 'news_article_title': 'Magna Completes a Couple of Common Share Repurchase Programs', 'news_lexrank_summary': 'A few better-ranked stocks in the auto space are Toyota Motor Corporation TM , Oshkosh Corporation OSK and Allison Transmission Holdings, Inc. ALSN . Download it free >> Want the latest recommendations from Zacks Investment Research? Click to get this free report Toyota Motor Corp Ltd Ord (TM): Free Stock Analysis Report Magna International, Inc. (MGA): Free Stock Analysis Report Allison Transmission Holdings, Inc. (ALSN): Free Stock Analysis Report Oshkosh Corporation (OSK): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_textrank_summary': 'Click to get this free report Toyota Motor Corp Ltd Ord (TM): Free Stock Analysis Report Magna International, Inc. (MGA): Free Stock Analysis Report Allison Transmission Holdings, Inc. (ALSN): Free Stock Analysis Report Oshkosh Corporation (OSK): Free Stock Analysis Report To read this article on Zacks.com click here. A few better-ranked stocks in the auto space are Toyota Motor Corporation TM , Oshkosh Corporation OSK and Allison Transmission Holdings, Inc. ALSN . Download it free >> Want the latest recommendations from Zacks Investment Research?'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 127.16999816894533, 'high': 128.42999267578122, 'open': 127.43000030517578, 'close': 128.3699951171875, 'ema_50': 124.91631204671644, 'rsi_14': 73.97400902507891, 'target': 130.1300048828125, 'volume': 83500.0, 'ema_200': 118.33838789573652, 'adj_close': 122.7567138671875, 'rsi_lag_1': 65.85079139249505, 'rsi_lag_2': 78.57142857142838, 'rsi_lag_3': 79.48428019384806, 'rsi_lag_4': 72.92111307765371, 'rsi_lag_5': 73.70694899814853, 'macd_lag_1': 0.9313724843648714, 'macd_lag_2': 0.9994659197167124, 'macd_lag_3': 0.9598395969210713, 'macd_lag_4': 0.8993742935351037, 'macd_lag_5': 0.8345705397690608, 'macd_12_26_9': 0.9631352475886814, 'macds_12_26_9': 0.7850719120594457}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 130.1300048828125, '2018-01-04': 132.16000366210938, '2018-01-05': 133.86000061035156, '2018-01-08': 134.77000427246094, '2018-01-09': 133.72000122070312, '2018-01-10': 136.39999389648438, '2018-01-11': 136.91000366210938, '2018-01-12': 137.19999694824222, '2018-01-16': 137.97000122070312}, '1_month_later': {'2018-02-02': 136.6199951171875}, '3_months_later': {'2018-04-02': 126.58999633789062}, '6_months_later': {'2018-07-02': 127.93000030517578}, '12_months_later': {'2019-01-02': 116.27999877929688}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TLYS
|
{'date': '2018-01-02', 'ticker': 'TLYS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 14.43000030517578, 'high': 14.90999984741211, 'open': 14.770000457763672, 'close': 14.5600004196167, 'ema_50': 14.09271352920253, 'rsi_14': 35.242299447436054, 'target': 14.390000343322756, 'volume': 157600.0, 'ema_200': 11.831085108980284, 'adj_close': 11.094828605651855, 'rsi_lag_1': 38.42696879641794, 'rsi_lag_2': 41.3043548369263, 'rsi_lag_3': 48.07692484037415, 'rsi_lag_4': 53.47592546552171, 'rsi_lag_5': 50.708217669982915, 'macd_lag_1': 0.41121737785657686, 'macd_lag_2': 0.5002822304360421, 'macd_lag_3': 0.567993616360777, 'macd_lag_4': 0.6186653831958235, 'macd_lag_5': 0.6285240521663482, 'macd_12_26_9': 0.3207965840383338, 'macds_12_26_9': 0.5382489789556475}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 14.390000343322756, '2018-01-04': 14.25, '2018-01-05': 14.010000228881836, '2018-01-08': 13.880000114440918, '2018-01-09': 14.350000381469728, '2018-01-10': 14.350000381469728, '2018-01-11': 14.630000114440918, '2018-01-12': 14.420000076293944, '2018-01-16': 14.119999885559082}, '1_month_later': {'2018-02-02': 14.270000457763672}, '3_months_later': {'2018-04-02': 11.260000228881836}, '6_months_later': {'2018-07-02': 15.0}, '12_months_later': {'2019-01-02': 11.039999961853027}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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TLTE
|
{'date': '2018-01-02', 'ticker': 'TLTE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 60.27000045776367, 'high': 60.91999816894531, 'open': 60.27000045776367, 'close': 60.91999816894531, 'ema_50': 57.979486470516036, 'rsi_14': 87.07626159764641, 'target': 61.290000915527344, 'volume': 40900.0, 'ema_200': 55.28622650868488, 'adj_close': 56.70427322387695, 'rsi_lag_1': 84.11458385073416, 'rsi_lag_2': 85.08556020552717, 'rsi_lag_3': 76.04163976182, 'rsi_lag_4': 58.05687332316079, 'rsi_lag_5': 58.8942512693497, 'macd_lag_1': 0.343116339212834, 'macd_lag_2': 0.24448778321970366, 'macd_lag_3': 0.1578095332397922, 'macd_lag_4': 0.10189908874787079, 'macd_lag_5': 0.07690953168614811, 'macd_12_26_9': 0.5122055189622614, 'macds_12_26_9': 0.20356270192764117}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 61.290000915527344, '2018-01-04': 61.36000061035156, '2018-01-05': 61.65999984741211, '2018-01-08': 61.790000915527344, '2018-01-09': 61.4000015258789, '2018-01-10': 61.18000030517578, '2018-01-11': 61.540000915527344, '2018-01-12': 62.1500015258789, '2018-01-16': 61.93000030517578}, '1_month_later': {'2018-02-02': 62.45000076293945}, '3_months_later': {'2018-04-02': 59.61999893188477}, '6_months_later': {'2018-07-02': 53.09000015258789}, '12_months_later': {'2019-01-02': 48.0099983215332}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TLT
|
{'date': '2018-01-02', 'ticker': 'TLT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 125.06999969482422, 'high': 126.51000213623048, 'open': 126.48999786376952, 'close': 125.48999786376952, 'ema_50': 125.98908762565969, 'rsi_14': 45.54078899746647, 'target': 126.08999633789062, 'volume': 16238200.0, 'ema_200': 125.34261494487603, 'adj_close': 118.37027740478516, 'rsi_lag_1': 50.901368111908546, 'rsi_lag_2': 49.8917932106742, 'rsi_lag_3': 45.50838177323948, 'rsi_lag_4': 38.25507536779305, 'rsi_lag_5': 40.0, 'macd_lag_1': 0.00772342709730367, 'macd_lag_2': -0.059708160439569724, 'macd_lag_3': -0.12454357874108268, 'macd_lag_4': -0.21668489137979918, 'macd_lag_5': -0.16517557528877091, 'macd_12_26_9': -0.048821541677753544, 'macds_12_26_9': 0.012465748380927365}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 126.08999633789062, '2018-01-04': 126.06999969482422, '2018-01-05': 125.70999908447266, '2018-01-08': 125.62999725341795, '2018-01-09': 123.9499969482422, '2018-01-10': 123.8000030517578, '2018-01-11': 124.30999755859376, '2018-01-12': 124.5199966430664, '2018-01-16': 125.04000091552734}, '1_month_later': {'2018-02-02': 119.58000183105467}, '3_months_later': {'2018-04-02': 121.87999725341795}, '6_months_later': {'2018-07-02': 121.3499984741211}, '12_months_later': {'2019-01-02': 122.1500015258789}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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TLRD
|
{'date': '2018-01-02', 'ticker': 'TLRD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 22.82999992370605, 'open': 21.850000381469727, 'close': 22.81999969482422, 'ema_50': 18.358891248662975, 'rsi_14': 63.19018232615569, 'target': 21.86000061035156, 'volume': 1113200.0, 'ema_200': 15.674405145605174, 'adj_close': 20.14494132995605, 'rsi_lag_1': 63.81181714207355, 'rsi_lag_2': 64.7201963409068, 'rsi_lag_3': 72.83126364486152, 'rsi_lag_4': 81.98757972460731, 'rsi_lag_5': 76.30479670311406, 'macd_lag_1': 1.475615867124219, 'macd_lag_2': 1.547597216984915, 'macd_lag_3': 1.606779232446776, 'macd_lag_4': 1.653854839209071, 'macd_lag_5': 1.576866117488656, 'macd_12_26_9': 1.481378428124561, 'macds_12_26_9': 1.4643818351777091}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 21.86000061035156, '2018-01-04': 21.3700008392334, '2018-01-05': 21.280000686645508, '2018-01-08': 21.13999938964844, '2018-01-09': 20.920000076293945, '2018-01-10': 21.440000534057614, '2018-01-11': 22.020000457763672, '2018-01-12': 22.209999084472656, '2018-01-16': 21.56999969482422}, '1_month_later': {'2018-02-02': 23.040000915527344}, '3_months_later': {'2018-04-02': 25.43000030517578}, '6_months_later': {'2018-07-02': 24.770000457763672}, '12_months_later': {'2019-01-02': 13.84000015258789}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TLK
|
{'date': '2018-01-02', 'ticker': 'TLK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 32.169998168945305, 'high': 32.5099983215332, 'open': 32.299999237060554, 'close': 32.459999084472656, 'ema_50': 31.45799277597831, 'rsi_14': 73.05553877796244, 'target': 31.209999084472656, 'volume': 326400.0, 'ema_200': 32.1101976125476, 'adj_close': 30.8662338256836, 'rsi_lag_1': 71.63742347608868, 'rsi_lag_2': 66.86389096740908, 'rsi_lag_3': 59.56679122950888, 'rsi_lag_4': 58.928561697211414, 'rsi_lag_5': 58.928561697211414, 'macd_lag_1': 0.20421835412378186, 'macd_lag_2': 0.13698555128724976, 'macd_lag_3': 0.06852523259126286, 'macd_lag_4': 0.04836623600148826, 'macd_lag_5': 0.009714443856797317, 'macd_12_26_9': 0.2737114810442911, 'macds_12_26_9': 0.1035672400104257}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 31.209999084472656, '2018-01-04': 31.11000061035156, '2018-01-05': 31.670000076293945, '2018-01-08': 31.76000022888184, '2018-01-09': 31.13999938964844, '2018-01-10': 31.0, '2018-01-11': 31.1200008392334, '2018-01-12': 31.34000015258789, '2018-01-16': 31.65999984741211}, '1_month_later': {'2018-02-02': 29.54999923706055}, '3_months_later': {'2018-04-02': 26.3799991607666}, '6_months_later': {'2018-07-02': 25.5}, '12_months_later': {'2019-01-02': 26.35000038146973}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TIPT
|
{'date': '2018-01-02', 'ticker': 'TIPT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 6.0, 'high': 6.1500000953674325, 'open': 6.0, 'close': 6.050000190734862, 'ema_50': 6.395489572696463, 'rsi_14': 46.87500651925057, 'target': 6.099999904632568, 'volume': 25400.0, 'ema_200': 6.484155855834353, 'adj_close': 5.701817989349365, 'rsi_lag_1': 41.93548982522544, 'rsi_lag_2': 43.33333015442197, 'rsi_lag_3': 37.03703572884312, 'rsi_lag_4': 41.66666335530092, 'rsi_lag_5': 38.46154128305762, 'macd_lag_1': -0.11787552716479865, 'macd_lag_2': -0.10098033723425992, 'macd_lag_3': -0.09321986325510245, 'macd_lag_4': -0.06668601420058451, 'macd_lag_5': -0.05730374120080839, 'macd_12_26_9': -0.12179195007387911, 'macds_12_26_9': -0.090827341858924}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 6.099999904632568, '2018-01-04': 6.099999904632568, '2018-01-05': 6.099999904632568, '2018-01-08': 6.1500000953674325, '2018-01-09': 6.099999904632568, '2018-01-10': 6.1500000953674325, '2018-01-11': 6.199999809265138, '2018-01-12': 6.25, '2018-01-16': 6.1500000953674325}, '1_month_later': {'2018-02-02': 5.949999809265138}, '3_months_later': {'2018-04-02': 6.199999809265138}, '6_months_later': {'2018-07-02': 7.0}, '12_months_later': {'2019-01-02': 5.630000114440918}}
|
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.
|
TLH
|
{'date': '2018-01-02', 'ticker': 'TLH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 135.07000732421878, 'high': 135.83999633789062, 'open': 135.83999633789062, 'close': 135.38999938964844, 'ema_50': 136.20078577324068, 'rsi_14': 42.24597039607876, 'target': 135.63999938964844, 'volume': 129000.0, 'ema_200': 136.6055353116556, 'adj_close': 135.38999938964844, 'rsi_lag_1': 46.74551938964373, 'rsi_lag_2': 43.89750120899539, 'rsi_lag_3': 41.296214664360484, 'rsi_lag_4': 33.542969562227285, 'rsi_lag_5': 36.21707587401085, 'macd_lag_1': -0.22204763703990693, 'macd_lag_2': -0.2624494872906382, 'macd_lag_3': -0.2959450093949272, 'macd_lag_4': -0.3517017255821884, 'macd_lag_5': -0.32204412327715204, 'macd_12_26_9': -0.23732160830522275, 'macds_12_26_9': -0.21515021668604686}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 135.63999938964844, '2018-01-04': 135.6199951171875, '2018-01-05': 135.3800048828125, '2018-01-08': 135.27999877929688, '2018-01-09': 134.22999572753906, '2018-01-10': 134.1300048828125, '2018-01-11': 134.35000610351562, '2018-01-12': 134.3800048828125, '2018-01-16': 134.61000061035156}, '1_month_later': {'2018-02-02': 130.58000183105472}, '3_months_later': {'2018-04-02': 132.19000244140622}, '6_months_later': {'2018-07-02': 130.94999694824222}, '12_months_later': {'2019-01-02': 133.8699951171875}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TLEH
|
{'date': '2018-01-02', 'ticker': 'TLEH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.959999084472656, 'high': 31.270000457763672, 'open': 30.959999084472656, 'close': 31.0, 'ema_50': 30.281095163847915, 'rsi_14': 75.95633313391245, 'target': 31.36000061035156, 'volume': 4800.0, 'ema_200': 29.089377944194066, 'adj_close': 31.0, 'rsi_lag_1': 76.4706242343818, 'rsi_lag_2': 73.96452776100527, 'rsi_lag_3': 71.97457026888775, 'rsi_lag_4': 59.78839502958406, 'rsi_lag_5': 58.421054744987124, 'macd_lag_1': 0.06523788061452152, 'macd_lag_2': 0.020780794912873546, 'macd_lag_3': -0.0016466814088289539, 'macd_lag_4': -0.01599386160201277, 'macd_lag_5': -0.040182479230324475, 'macd_12_26_9': 0.11129126056991367, 'macds_12_26_9': 0.0019565268058586447}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 31.36000061035156, '2018-01-04': 31.420000076293945, '2018-01-05': 31.65999984741211, '2018-01-08': 31.59000015258789, '2018-01-09': 31.57999992370605, '2018-01-10': 31.420000076293945, '2018-01-11': 31.40999984741211, '2018-01-12': 31.53000068664551, '2018-01-16': 31.89999961853028}, '1_month_later': {'2018-02-02': 32.06999969482422}, '3_months_later': {'2018-04-02': 30.440000534057614}, '6_months_later': {'2018-07-02': 28.920000076293945}, '12_months_later': {'2019-01-02': 26.1200008392334}}
|
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.
|
TLDH
|
{'date': '2018-01-02', 'ticker': 'TLDH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 28.979999542236328, 'high': 29.209999084472656, 'open': 28.979999542236328, 'close': 29.209999084472656, 'ema_50': 28.858507576092276, 'rsi_14': 55.555516309626704, 'target': 29.63999938964844, 'volume': 12500.0, 'ema_200': 27.26916923627537, 'adj_close': 26.800891876220703, 'rsi_lag_1': 51.80721507220943, 'rsi_lag_2': 50.617298486129336, 'rsi_lag_3': 74.43607728634487, 'rsi_lag_4': 64.78873428620197, 'rsi_lag_5': 65.98637866986414, 'macd_lag_1': 0.12335442598765667, 'macd_lag_2': 0.14047387162366576, 'macd_lag_3': 0.1684266999709827, 'macd_lag_4': 0.15481856027931684, 'macd_lag_5': 0.14232496094181002, 'macd_12_26_9': 0.11172681053224665, 'macds_12_26_9': 0.12919384186485441}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-04': 29.63999938964844, '2018-01-16': 29.76000022888184}, '3_months_later': {'2018-04-02': 27.26000022888184}, '6_months_later': {'2018-07-02': 27.79999923706055}, '12_months_later': {'2019-01-02': 24.6299991607666}}
|
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.
|
TKR
|
{'date': '2018-01-02', 'ticker': 'TKR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/analyst-ratings/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/18/01/10971532/longbow-research-upgrades-timken-to-buy', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Longbow Research Upgrades Timken to Buy', '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': 50.04999923706055, 'high': 51.5, 'open': 50.1500015258789, 'close': 51.29999923706055, 'ema_50': 48.35179906370437, 'rsi_14': 70.71425807720837, 'target': 50.25, 'volume': 1191900.0, 'ema_200': 46.15660925198736, 'adj_close': 48.23590469360352, 'rsi_lag_1': 51.376159631997446, 'rsi_lag_2': 47.36842809731633, 'rsi_lag_3': 50.81969058439259, 'rsi_lag_4': 51.66667196485402, 'rsi_lag_5': 41.007200167736784, 'macd_lag_1': 0.27221310508708996, 'macd_lag_2': 0.2605170431417676, 'macd_lag_3': 0.2519813274019356, 'macd_lag_4': 0.2526939615066581, 'macd_lag_5': 0.23465549900357985, 'macd_12_26_9': 0.44978433166171783, 'macds_12_26_9': 0.2914729303636955}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 50.25, '2018-01-04': 50.59999847412109, '2018-01-05': 51.09999847412109, '2018-01-08': 51.20000076293945, '2018-01-09': 51.09999847412109, '2018-01-10': 50.70000076293945, '2018-01-11': 51.84999847412109, '2018-01-12': 52.20000076293945, '2018-01-16': 51.59999847412109}, '1_month_later': {'2018-02-02': 50.0}, '3_months_later': {'2018-04-02': 43.900001525878906}, '6_months_later': {'2018-07-02': 43.29999923706055}, '12_months_later': {'2019-01-02': 37.65999984741211}}
|
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.
|
TKC
|
{'date': '2018-01-02', 'ticker': 'TKC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 10.3100004196167, 'high': 10.390000343322754, 'open': 10.3100004196167, 'close': 10.380000114440918, 'ema_50': 9.589773169903541, 'rsi_14': 61.42858635001043, 'target': 10.06999969482422, 'volume': 241900.0, 'ema_200': 8.99110185040923, 'adj_close': 9.072372436523438, 'rsi_lag_1': 61.97184107570926, 'rsi_lag_2': 61.97184107570926, 'rsi_lag_3': 57.59162643506844, 'rsi_lag_4': 60.4395708043411, 'rsi_lag_5': 62.3036790379768, 'macd_lag_1': 0.18334243400296657, 'macd_lag_2': 0.17131508935919193, 'macd_lag_3': 0.16059920982346831, 'macd_lag_4': 0.169022202677926, 'macd_lag_5': 0.1600054010232803, 'macd_12_26_9': 0.20503519350709176, 'macds_12_26_9': 0.17289037701030768}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 10.06999969482422, '2018-01-04': 9.989999771118164, '2018-01-05': 10.220000267028809, '2018-01-08': 10.210000038146973, '2018-01-09': 9.9399995803833, '2018-01-10': 9.670000076293944, '2018-01-11': 9.699999809265137, '2018-01-12': 9.68000030517578, '2018-01-16': 9.520000457763672}, '1_month_later': {'2018-02-02': 10.210000038146973}, '3_months_later': {'2018-04-02': 9.40999984741211}, '6_months_later': {'2018-07-02': 6.449999809265138}, '12_months_later': {'2019-01-02': 5.510000228881836}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TKAT
|
{'date': '2018-01-02', 'ticker': 'TKAT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 2.4100000858306885, 'high': 2.890000104904175, 'open': 2.4100000858306885, 'close': 2.890000104904175, 'ema_50': 3.0383548184701916, 'rsi_14': 46.42346733428383, 'target': 2.5999999046325684, 'volume': 2800.0, 'ema_200': 4.398621189970404, 'adj_close': 2.890000104904175, 'rsi_lag_1': 29.206057541324327, 'rsi_lag_2': 35.59908675849252, 'rsi_lag_3': 45.088416236436146, 'rsi_lag_4': 30.874322635336142, 'rsi_lag_5': 32.89125082213266, 'macd_lag_1': -0.15261265506535038, 'macd_lag_2': -0.14391148069614035, 'macd_lag_3': -0.1500578206081249, 'macd_lag_4': -0.1557201261596659, 'macd_lag_5': -0.14846407260540273, 'macd_12_26_9': -0.1273772394725463, 'macds_12_26_9': -0.1378380369275522}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 2.5999999046325684, '2018-01-04': 2.5899999141693115, '2018-01-05': 2.75, '2018-01-08': 2.8199999332427983, '2018-01-09': 2.8199999332427983, '2018-01-12': 2.9089999198913574, '2018-01-16': 2.9500000476837163}, '1_month_later': {'2018-02-02': 2.299999952316284}, '6_months_later': {'2018-07-02': 1.350000023841858}, '12_months_later': {'2019-01-02': 0.7110000252723694}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TK
|
{'date': '2018-01-02', 'ticker': 'TK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.399999618530272, 'high': 9.989999771118164, 'open': 9.420000076293944, 'close': 9.81999969482422, 'ema_50': 8.812301109507107, 'rsi_14': 79.48716799209681, 'target': 10.039999961853027, 'volume': 1695500.0, 'ema_200': 8.688646908742752, 'adj_close': 9.389422416687012, 'rsi_lag_1': 77.35847613700881, 'rsi_lag_2': 82.82827942265163, 'rsi_lag_3': 82.47421514798924, 'rsi_lag_4': 76.58537946947786, 'rsi_lag_5': 74.86913190664984, 'macd_lag_1': 0.24690853465148876, 'macd_lag_2': 0.25052904314615, 'macd_lag_3': 0.23419697104728066, 'macd_lag_4': 0.21910845861662231, 'macd_lag_5': 0.19971751616413336, 'macd_12_26_9': 0.28114422133343275, 'macds_12_26_9': 0.20800187740964438}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, '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': 10.029999732971191, '2018-01-05': 10.050000190734863, '2018-01-08': 10.34000015258789, '2018-01-09': 10.039999961853027, '2018-01-10': 10.170000076293944, '2018-01-11': 10.420000076293944, '2018-01-12': 10.539999961853027, '2018-01-16': 10.390000343322754}, '1_month_later': {'2018-02-02': 8.090000152587889}, '3_months_later': {'2018-04-02': 7.75}, '6_months_later': {'2018-07-02': 7.75}, '12_months_later': {'2019-01-02': 3.4500000476837163}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TJX
|
{'date': '2018-01-02', 'ticker': 'TJX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 38.22999954223633, 'high': 38.77999877929688, 'open': 38.43000030517578, 'close': 38.34500122070313, 'ema_50': 36.860534350067596, 'rsi_14': 73.8396561085584, 'target': 37.65499877929688, 'volume': 6881400.0, 'ema_200': 36.668237295101406, 'adj_close': 36.97187423706055, 'rsi_lag_1': 67.29225728065984, 'rsi_lag_2': 67.11593095697606, 'rsi_lag_3': 61.94029709114861, 'rsi_lag_4': 61.40567247385441, 'rsi_lag_5': 45.48736329516493, 'macd_lag_1': 0.5876002242452287, 'macd_lag_2': 0.6048785283100244, 'macd_lag_3': 0.6222065146673756, 'macd_lag_4': 0.6052364841610895, 'macd_lag_5': 0.5503369684160049, 'macd_12_26_9': 0.5765407156477025, 'macds_12_26_9': 0.5599539313103244}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 37.65499877929688, '2018-01-04': 37.71500015258789, '2018-01-05': 38.57500076293945, '2018-01-08': 37.82500076293945, '2018-01-09': 37.75, '2018-01-10': 38.1349983215332, '2018-01-11': 38.43999862670898, '2018-01-12': 39.13999938964844, '2018-01-16': 38.29499816894531}, '1_month_later': {'2018-02-02': 39.23500061035156}, '3_months_later': {'2018-04-02': 40.27999877929688}, '6_months_later': {'2018-07-02': 47.45500183105469}, '12_months_later': {'2019-01-02': 44.65999984741211}}
|
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.
|
TITN
|
{'date': '2018-01-02', 'ticker': 'TITN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/18/01/10972475/william-blair-upgrades-titan-machinery-to-market-perform', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'William Blair Upgrades Titan Machinery to Market Perform', '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': 21.170000076293945, 'high': 21.920000076293945, 'open': 21.84000015258789, 'close': 21.670000076293945, 'ema_50': 18.791923226129306, 'rsi_14': 49.37108521463955, 'target': 21.739999771118164, 'volume': 263000.0, 'ema_200': 16.38889794196497, 'adj_close': 21.670000076293945, 'rsi_lag_1': 36.271207919562976, 'rsi_lag_2': 32.62197426709602, 'rsi_lag_3': 33.43373718931622, 'rsi_lag_4': 42.59741096155087, 'rsi_lag_5': 37.696333248617826, 'macd_lag_1': 0.9765158864582375, 'macd_lag_2': 1.043496704718791, 'macd_lag_3': 1.0934467375488772, 'macd_lag_4': 1.1484238991270814, 'macd_lag_5': 1.2069812327821197, 'macd_12_26_9': 0.9527956911092765, 'macds_12_26_9': 1.1578202215308413}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 21.739999771118164, '2018-01-04': 23.559999465942383, '2018-01-05': 23.059999465942383, '2018-01-08': 23.6200008392334, '2018-01-09': 23.229999542236328, '2018-01-10': 23.020000457763672, '2018-01-11': 23.63999938964844, '2018-01-12': 23.75, '2018-01-16': 23.35000038146973}, '1_month_later': {'2018-02-02': 20.020000457763672}, '3_months_later': {'2018-04-02': 24.01000022888184}, '6_months_later': {'2018-07-02': 15.260000228881836}, '12_months_later': {'2019-01-02': 13.960000038146973}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TISI
|
{'date': '2018-01-02', 'ticker': 'TISI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 14.550000190734863, 'high': 15.199999809265137, 'open': 14.850000381469728, 'close': 15.100000381469728, 'ema_50': 13.914276244762814, 'rsi_14': 61.17647956399361, 'target': 14.899999618530272, 'volume': 321600.0, 'ema_200': 18.2908111503432, 'adj_close': 15.100000381469728, 'rsi_lag_1': 60.240960256127124, 'rsi_lag_2': 62.921355297703954, 'rsi_lag_3': 65.9793852948909, 'rsi_lag_4': 59.405941902896274, 'rsi_lag_5': 52.63158158912652, 'macd_lag_1': 0.33469543865887985, 'macd_lag_2': 0.3155085032855638, 'macd_lag_3': 0.2966115420095434, 'macd_lag_4': 0.28854141504046105, 'macd_lag_5': 0.29440774644407064, 'macd_12_26_9': 0.3618682216655227, 'macds_12_26_9': 0.3063079431842262}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 14.899999618530272, '2018-01-04': 15.699999809265137, '2018-01-05': 16.299999237060547, '2018-01-08': 16.049999237060547, '2018-01-09': 16.0, '2018-01-10': 16.049999237060547, '2018-01-11': 16.299999237060547, '2018-01-12': 16.200000762939453, '2018-01-16': 16.149999618530273}, '1_month_later': {'2018-02-02': 16.399999618530273}, '3_months_later': {'2018-04-02': 13.649999618530272}, '6_months_later': {'2018-07-02': 23.14999961853028}, '12_months_later': {'2019-01-02': 14.880000114440918}}
|
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.
|
TMBR
|
{'date': '2018-01-02', 'ticker': 'TMBR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.1099999994039535, 'high': 0.1150000020861625, 'open': 0.1134999990463256, 'close': 0.1120000034570694, 'ema_50': 3159.3074907749433, 'rsi_14': 40.44751435347692, 'target': 0.1120000034570694, 'volume': 1573672.0, 'ema_200': 2724.31013929338, 'adj_close': 0.1120000034570694, 'rsi_lag_1': 49.26623169581905, 'rsi_lag_2': 59.762303774524305, 'rsi_lag_3': 50.28572029888911, 'rsi_lag_4': 49.929076932387645, 'rsi_lag_5': 48.92393584146581, 'macd_lag_1': 463.838328625754, 'macd_lag_2': 464.5165436648963, 'macd_lag_3': 436.6328611342756, 'macd_lag_4': 394.69211926960315, 'macd_lag_5': 331.020939850227, 'macd_12_26_9': 78.95306808395799, 'macds_12_26_9': 346.49124587927236}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 0.1120000034570694, '2018-01-04': 0.1137000024318695, '2018-01-05': 0.1118000000715255, '2018-01-08': 4881.60009765625, '2018-01-09': 5313.60009765625, '2018-01-10': 4968.0, '2018-01-11': 5356.7998046875, '2018-01-12': 5184.0, '2018-01-16': 5529.60009765625}, '1_month_later': {'2018-02-02': 6955.2001953125}, '3_months_later': {'2018-04-02': 9849.599609375}, '6_months_later': {'2018-07-02': 0.2213999927043914}, '12_months_later': {'2019-01-02': 4881.60009765625}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TGEN
|
{'date': '2018-01-02', 'ticker': 'TGEN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 2.5899999141693115, 'high': 2.6600000858306885, 'open': 2.650000095367432, 'close': 2.619999885559082, 'ema_50': 2.7189429962675637, 'rsi_14': 47.058817342077916, 'target': 2.6700000762939453, 'volume': 29100.0, 'ema_200': 3.1757406818561775, 'adj_close': 2.619999885559082, 'rsi_lag_1': 46.71533075365523, 'rsi_lag_2': 42.06348710769957, 'rsi_lag_3': 47.85714431684885, 'rsi_lag_4': 46.85314895179993, 'rsi_lag_5': 52.83019405476911, 'macd_lag_1': -0.011660705484891842, 'macd_lag_2': -0.018982691571324928, 'macd_lag_3': -0.01583390203924573, 'macd_lag_4': -0.007511866890876462, 'macd_lag_5': -0.0059443122284035255, 'macd_12_26_9': -0.01217300048141734, 'macds_12_26_9': -0.014294130625903801}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 2.6700000762939453, '2018-01-04': 2.799999952316284, '2018-01-05': 2.7699999809265137, '2018-01-08': 2.6800000667572017, '2018-01-09': 2.619999885559082, '2018-01-10': 2.5199999809265137, '2018-01-11': 2.5, '2018-01-12': 2.3940000534057617, '2018-01-16': 2.5}, '1_month_later': {'2018-02-02': 2.259999990463257}, '3_months_later': {'2018-04-02': 2.890000104904175}, '6_months_later': {'2018-07-02': 3.5999999046325684}, '12_months_later': {'2019-01-02': 3.700000047683716}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TGB
|
{'date': '2018-01-02', 'ticker': 'TGB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 2.0299999713897705, 'high': 2.380000114440918, 'open': 2.359999895095825, 'close': 2.1400001049041752, 'ema_50': 2.1242631307387447, 'rsi_14': 59.2105333329569, 'target': 1.9299999475479128, 'volume': 3892100.0, 'ema_200': 1.7319043033568515, 'adj_close': 2.1400001049041752, 'rsi_lag_1': 79.9999841054318, 'rsi_lag_2': 76.19046537784408, 'rsi_lag_3': 73.68420172046133, 'rsi_lag_4': 73.68420172046132, 'rsi_lag_5': 54.41175851855172, 'macd_lag_1': 0.054433625504048955, 'macd_lag_2': 0.0478405965879074, 'macd_lag_3': 0.03465690761408213, 'macd_lag_4': 0.025471072717720755, 'macd_lag_5': 0.01541248045026089, 'macd_12_26_9': 0.04382209708088647, 'macds_12_26_9': 0.026570145106814998}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 1.9299999475479128, '2018-01-04': 2.0799999237060547, '2018-01-05': 2.0899999141693115, '2018-01-08': 2.0299999713897705, '2018-01-09': 1.9800000190734863, '2018-01-10': 1.9900000095367432, '2018-01-11': 2.049999952316284, '2018-01-12': 2.039999961853028, '2018-01-16': 1.940000057220459}, '1_month_later': {'2018-02-02': 1.6699999570846558}, '3_months_later': {'2018-04-02': 1.1399999856948853}, '6_months_later': {'2018-07-02': 1.0900000333786009}, '12_months_later': {'2019-01-02': 0.5099999904632568}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TECD
|
{'date': '2018-01-02', 'ticker': 'TECD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 97.7699966430664, 'high': 99.93000030517578, 'open': 98.63999938964844, 'close': 99.76000213623048, 'ema_50': 95.53508611809156, 'rsi_14': 64.37911389249032, 'target': 99.81999969482422, 'volume': 296700.0, 'ema_200': 93.76693801909036, 'adj_close': 99.76000213623048, 'rsi_lag_1': 56.025750446393445, 'rsi_lag_2': 59.40859865883937, 'rsi_lag_3': 60.22827899873401, 'rsi_lag_4': 60.440501509745374, 'rsi_lag_5': 62.36364191228692, 'macd_lag_1': 1.1420387647335133, 'macd_lag_2': 1.2088203636497497, 'macd_lag_3': 1.2510205809770127, 'macd_lag_4': 1.3426870515485803, 'macd_lag_5': 1.4218295039831332, 'macd_12_26_9': 1.2194944082488064, 'macds_12_26_9': 1.2477000134905267}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 99.81999969482422, '2018-01-04': 101.38999938964844, '2018-01-05': 101.69000244140624, '2018-01-08': 102.45999908447266, '2018-01-09': 103.04000091552734, '2018-01-10': 102.0199966430664, '2018-01-11': 104.63999938964844, '2018-01-12': 104.8499984741211, '2018-01-16': 104.47000122070312}, '1_month_later': {'2018-02-02': 98.6999969482422}, '3_months_later': {'2018-04-02': 80.08999633789062}, '6_months_later': {'2018-07-02': 82.48999786376953}, '12_months_later': {'2019-01-02': 83.12000274658203}}
|
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.
|
TDTF
|
{'date': '2018-01-02', 'ticker': 'TDTF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 24.86000061035156, 'high': 24.920000076293945, 'open': 24.90999984741211, 'close': 24.90999984741211, 'ema_50': 24.95978790255353, 'rsi_14': 51.162811328704684, 'target': 24.90999984741211, 'volume': 69500.0, 'ema_200': 25.053815182858663, 'adj_close': 23.71902084350586, 'rsi_lag_1': 56.41038181080035, 'rsi_lag_2': 48.64862078386688, 'rsi_lag_3': 44.444326707074346, 'rsi_lag_4': 33.33333333333215, 'rsi_lag_5': 31.0348909862181, 'macd_lag_1': -0.0327858216516006, 'macd_lag_2': -0.0421427715746141, 'macd_lag_3': -0.04939983594520925, 'macd_lag_4': -0.05590753570126239, 'macd_lag_5': -0.05627328485214278, 'macd_12_26_9': -0.02827220660695673, 'macds_12_26_9': -0.03996338383100088}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 24.90999984741211, '2018-01-04': 24.90999984741211, '2018-01-05': 24.89999961853028, '2018-01-08': 24.88999938964844, '2018-01-09': 24.84000015258789, '2018-01-10': 24.82999992370605, '2018-01-11': 24.79999923706055, '2018-01-12': 24.79999923706055, '2018-01-16': 24.84000015258789}, '1_month_later': {'2018-02-02': 24.559999465942383}, '3_months_later': {'2018-04-02': 24.690000534057614}, '6_months_later': {'2018-07-02': 24.57999992370605}, '12_months_later': {'2019-01-02': 24.1200008392334}}
|
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.
|
tds
|
{'date': '2018-01-02', 'ticker': 'tds', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 27.75, 'high': 28.239999771118164, 'open': 27.950000762939453, 'close': 27.920000076293945, 'ema_50': 27.298563376463907, 'rsi_14': 61.045126659641355, 'target': 27.770000457763672, 'volume': 596800.0, 'ema_200': 27.711338555176244, 'adj_close': 22.27964973449707, 'rsi_lag_1': 63.474372295622786, 'rsi_lag_2': 71.80723744321618, 'rsi_lag_3': 66.97460276067679, 'rsi_lag_4': 53.207546762403496, 'rsi_lag_5': 51.84466414946196, 'macd_lag_1': 0.24932950791429676, 'macd_lag_2': 0.23575638507745467, 'macd_lag_3': 0.16714829112934382, 'macd_lag_4': 0.085293613760129, 'macd_lag_5': -0.012277907504842034, 'macd_12_26_9': 0.26669507556959715, 'macds_12_26_9': 0.11046152120411239}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, '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': 27.770000457763672, '2018-01-05': 28.1200008392334, '2018-01-08': 27.709999084472656, '2018-01-09': 27.31999969482422, '2018-01-10': 26.540000915527344, '2018-01-11': 26.88999938964844, '2018-01-12': 27.15999984741211, '2018-01-16': 26.770000457763672}, '1_month_later': {'2018-02-02': 26.31999969482422}, '3_months_later': {'2018-04-02': 27.14999961853028}, '6_months_later': {'2018-07-02': 27.270000457763672}, '12_months_later': {'2019-01-02': 32.95000076293945}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TDOC
|
{'date': '2018-01-02', 'ticker': 'TDOC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.049999237060554, 'high': 36.45000076293945, 'open': 35.049999237060554, 'close': 36.20000076293945, 'ema_50': 33.84214172624956, 'rsi_14': 70.31249503294941, 'target': 36.84999847412109, 'volume': 783900.0, 'ema_200': 30.55381159038334, 'adj_close': 36.20000076293945, 'rsi_lag_1': 56.84209850026235, 'rsi_lag_2': 59.340661183285285, 'rsi_lag_3': 68.30355713562679, 'rsi_lag_4': 62.704926618674435, 'rsi_lag_5': 56.50407474822226, 'macd_lag_1': 0.6638150538996328, 'macd_lag_2': 0.7430940458331605, 'macd_lag_3': 0.7723830854637868, 'macd_lag_4': 0.7832593933016341, 'macd_lag_5': 0.7552028879512989, 'macd_12_26_9': 0.7018295299383723, 'macds_12_26_9': 0.7084774708161574}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 36.84999847412109, '2018-01-04': 37.20000076293945, '2018-01-05': 37.5, '2018-01-08': 36.04999923706055, '2018-01-09': 34.5, '2018-01-10': 33.09999847412109, '2018-01-11': 33.200000762939446, '2018-01-12': 32.650001525878906, '2018-01-16': 32.75}, '1_month_later': {'2018-02-02': 35.29999923706055}, '3_months_later': {'2018-04-02': 38.5}, '6_months_later': {'2018-07-02': 59.4000015258789}, '12_months_later': {'2019-01-02': 48.18000030517578}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TDJ
|
{'date': '2018-01-02', 'ticker': 'TDJ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.18000030517578, 'high': 25.309999465942383, 'open': 25.309999465942383, 'close': 25.20000076293945, 'ema_50': 25.348726690574427, 'rsi_14': 32.75866321371328, 'target': 25.190000534057614, 'volume': 9200.0, 'ema_200': 25.479299452790134, 'adj_close': 21.17243194580078, 'rsi_lag_1': 38.59649416335292, 'rsi_lag_2': 35.185109963954716, 'rsi_lag_3': 35.84905999884846, 'rsi_lag_4': 37.0370697419779, 'rsi_lag_5': 37.38321921898394, 'macd_lag_1': -0.041888218550138134, 'macd_lag_2': -0.04746890989246211, 'macd_lag_3': -0.04677400865881509, 'macd_lag_4': -0.049279533266521014, 'macd_lag_5': -0.04565166402234411, 'macd_12_26_9': -0.04342028370805906, 'macds_12_26_9': -0.03626211859396162}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 25.190000534057614, '2018-01-04': 25.209999084472656, '2018-01-05': 25.20000076293945, '2018-01-08': 25.170000076293945, '2018-01-09': 25.18000030517578, '2018-01-10': 25.21999931335449, '2018-01-11': 25.28000068664551, '2018-01-12': 25.34000015258789, '2018-01-16': 25.20000076293945}, '1_month_later': {'2018-02-02': 24.479999542236328}, '3_months_later': {'2018-04-02': 25.170000076293945}, '6_months_later': {'2018-07-02': 25.29999923706055}, '12_months_later': {'2019-01-02': 23.5}}
|
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.
|
TDIV
|
{'date': '2018-01-02', 'ticker': 'TDIV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 35.36000061035156, 'high': 35.61999893188477, 'open': 35.40999984741211, 'close': 35.61000061035156, 'ema_50': 34.66650161478964, 'rsi_14': 61.60718391147154, 'target': 35.689998626708984, 'volume': 67800.0, 'ema_200': 32.7737740944874, 'adj_close': 33.44390106201172, 'rsi_lag_1': 60.5504731640394, 'rsi_lag_2': 69.81986703530661, 'rsi_lag_3': 67.78845977500559, 'rsi_lag_4': 68.11601146993564, 'rsi_lag_5': 67.14296094459581, 'macd_lag_1': 0.19698577466331813, 'macd_lag_2': 0.2204984396464056, 'macd_lag_3': 0.2279565854741321, 'macd_lag_4': 0.25248746325070925, 'macd_lag_5': 0.27503440728300177, 'macd_12_26_9': 0.20902585944547525, 'macds_12_26_9': 0.23116180150680987}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 35.689998626708984, '2018-01-04': 35.88999938964844, '2018-01-05': 36.13000106811523, '2018-01-08': 36.27999877929688, '2018-01-09': 36.09000015258789, '2018-01-10': 35.900001525878906, '2018-01-11': 36.09999847412109, '2018-01-12': 36.34000015258789, '2018-01-16': 36.400001525878906}, '1_month_later': {'2018-02-02': 36.18999862670898}, '3_months_later': {'2018-04-02': 34.799999237060554}, '6_months_later': {'2018-07-02': 35.560001373291016}, '12_months_later': {'2019-01-02': 33.290000915527344}}
|
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.
|
TDI
|
{'date': '2018-01-02', 'ticker': 'TDI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 25.39999961853028, 'open': 25.39999961853028, 'close': 24.920000076293945, 'ema_50': 25.784638378344432, 'rsi_14': 27.884612739438666, 'target': 24.989999771118164, 'volume': 8100.0, 'ema_200': 25.804511086361433, 'adj_close': 24.920000076293945, 'rsi_lag_1': 39.725995184601125, 'rsi_lag_2': 43.58979375002303, 'rsi_lag_3': 59.4827813001499, 'rsi_lag_4': 53.65853280320554, 'rsi_lag_5': 54.09836578162769, 'macd_lag_1': 0.010363752346357558, 'macd_lag_2': 0.041123455520892804, 'macd_lag_3': 0.0818220788074342, 'macd_lag_4': 0.09083274328310154, 'macd_lag_5': 0.10406703958819108, 'macd_12_26_9': -0.0641101789466525, 'macds_12_26_9': 0.036574634775247424}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 24.989999771118164, '2018-01-04': 24.940000534057614, '2018-01-05': 24.790000915527344, '2018-01-08': 24.95000076293945, '2018-01-09': 24.979999542236328, '2018-01-10': 24.940000534057614, '2018-01-11': 24.89999961853028, '2018-01-12': 24.85000038146973, '2018-01-16': 24.93000030517578}, '1_month_later': {'2018-02-02': 23.85000038146973}, '3_months_later': {'2018-04-02': 25.11000061035156}, '6_months_later': {'2018-07-02': 25.71999931335449}, '12_months_later': {'2019-01-02': 22.85000038146973}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TECH
|
{'date': '2018-01-02', 'ticker': 'TECH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/m-a/18/01/10976061/bio-techne-reports-purchase-of-atlanta-biologicals-no-terms-disclosed', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Bio-Techne Reports Purchase Of Atlanta Biologicals, No Terms Disclosed', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320793-bio-techne-acquires-atlanta-biologicals-shore-tissue-offerings?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Bio-Techne acquires Atlanta Biologicals to shore up tissue offerings', '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': 129.60000610351562, 'high': 131.6300048828125, 'open': 129.72000122070312, 'close': 131.46000671386722, 'ema_50': 127.86295592939689, 'rsi_14': 79.49740842705287, 'target': 134.49000549316406, 'volume': 177800.0, 'ema_200': 119.61804448771814, 'adj_close': 131.46000671386722, 'rsi_lag_1': 55.33070027861222, 'rsi_lag_2': 48.96449837705576, 'rsi_lag_3': 45.92471503259864, 'rsi_lag_4': 50.078697206789826, 'rsi_lag_5': 40.18567612417537, 'macd_lag_1': 0.06548136081863731, 'macd_lag_2': 0.0025149635944217152, 'macd_lag_3': 0.0025475962407881525, 'macd_lag_4': 0.05957012465731282, 'macd_lag_5': 0.10297616522191788, 'macd_12_26_9': 0.26643274638112757, 'macds_12_26_9': 0.18055940036238255}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 134.49000549316406, '2018-01-04': 134.91999816894528, '2018-01-05': 136.3800048828125, '2018-01-08': 136.38999938964844, '2018-01-09': 137.72999572753906, '2018-01-10': 137.38999938964844, '2018-01-11': 138.16999816894528, '2018-01-12': 140.02000427246094, '2018-01-16': 140.25999450683594}, '1_month_later': {'2018-02-02': 138.19000244140622}, '3_months_later': {'2018-04-02': 144.89999389648438}, '6_months_later': {'2018-07-02': 148.22000122070312}, '12_months_later': {'2019-01-02': 141.91000366210938}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TDF
|
{'date': '2018-01-02', 'ticker': 'TDF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 21.63999938964844, 'high': 21.989999771118164, 'open': 21.780000686645508, 'close': 21.690000534057614, 'ema_50': 21.242411595028464, 'rsi_14': 78.88205453843247, 'target': 21.950000762939453, 'volume': 90400.0, 'ema_200': 20.532161359759783, 'adj_close': 17.376955032348633, 'rsi_lag_1': 80.00006731830793, 'rsi_lag_2': 77.77784703531344, 'rsi_lag_3': 70.39478389844858, 'rsi_lag_4': 60.79542929968878, 'rsi_lag_5': 56.3829754854865, 'macd_lag_1': -0.002065297416912415, 'macd_lag_2': -0.03924355663428969, 'macd_lag_3': -0.06576200534867382, 'macd_lag_4': -0.08643457765623808, 'macd_lag_5': -0.11461748816403627, 'macd_12_26_9': 0.04144550320806317, 'macds_12_26_9': -0.06686822900499438}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 21.950000762939453, '2018-01-04': 22.38999938964844, '2018-01-05': 22.43000030517578, '2018-01-08': 22.5, '2018-01-09': 22.5, '2018-01-10': 22.459999084472656, '2018-01-11': 22.61000061035156, '2018-01-12': 22.76000022888184, '2018-01-16': 23.11000061035156}, '1_month_later': {'2018-02-02': 23.170000076293945}, '3_months_later': {'2018-04-02': 21.86000061035156}, '6_months_later': {'2018-07-02': 20.90999984741211}, '12_months_later': {'2019-01-02': 16.940000534057614}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TDC
|
{'date': '2018-01-02', 'ticker': 'TDC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 38.34000015258789, 'high': 38.79999923706055, 'open': 38.79999923706055, 'close': 38.4900016784668, 'ema_50': 36.81003135667889, 'rsi_14': 51.62454674780794, 'target': 38.68000030517578, 'volume': 1059400.0, 'ema_200': 33.04002887842386, 'adj_close': 38.4900016784668, 'rsi_lag_1': 55.18389613835974, 'rsi_lag_2': 63.23117971648039, 'rsi_lag_3': 70.55390894784563, 'rsi_lag_4': 51.793719096481844, 'rsi_lag_5': 55.67009255159087, 'macd_lag_1': 0.60231308971548, 'macd_lag_2': 0.6585376002510728, 'macd_lag_3': 0.7186853819950798, 'macd_lag_4': 0.7534384416751578, 'macd_lag_5': 0.7980369408418824, 'macd_12_26_9': 0.5537919497601749, 'macds_12_26_9': 0.720925835611683}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 38.68000030517578, '2018-01-04': 38.650001525878906, '2018-01-05': 38.83000183105469, '2018-01-08': 38.81999969482422, '2018-01-09': 38.400001525878906, '2018-01-10': 37.9900016784668, '2018-01-11': 38.18000030517578, '2018-01-12': 38.31999969482422, '2018-01-16': 37.77000045776367}, '1_month_later': {'2018-02-02': 40.79999923706055}, '3_months_later': {'2018-04-02': 39.150001525878906}, '6_months_later': {'2018-07-02': 41.0099983215332}, '12_months_later': {'2019-01-02': 37.75}}
|
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.
|
TDA
|
{'date': '2018-01-02', 'ticker': 'TDA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 24.790000915527344, 'high': 24.959999084472656, 'open': 24.940000534057614, 'close': 24.79999923706055, 'ema_50': 25.024248313137075, 'rsi_14': 44.91522821060339, 'target': 24.8700008392334, 'volume': 24800.0, 'ema_200': 24.97234279006771, 'adj_close': 21.294090270996094, 'rsi_lag_1': 43.44263576556549, 'rsi_lag_2': 46.28098261631655, 'rsi_lag_3': 52.89854972308884, 'rsi_lag_4': 56.42859283762149, 'rsi_lag_5': 56.42859283762162, 'macd_lag_1': -0.04068854537995037, 'macd_lag_2': -0.03826583194965494, 'macd_lag_3': -0.03868979519668159, 'macd_lag_4': -0.035613550443400754, 'macd_lag_5': -0.03524194871463848, 'macd_12_26_9': -0.05010023396389229, 'macds_12_26_9': -0.04512047282264539}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 24.8700008392334, '2018-01-04': 24.89999961853028, '2018-01-05': 24.84000015258789, '2018-01-08': 24.82999992370605, '2018-01-09': 24.90999984741211, '2018-01-10': 24.8799991607666, '2018-01-11': 24.940000534057614, '2018-01-12': 24.790000915527344, '2018-01-16': 24.790000915527344}, '1_month_later': {'2018-02-02': 23.190000534057614}, '3_months_later': {'2018-04-02': 24.5}, '6_months_later': {'2018-07-02': 24.729999542236328}, '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.
|
TCX
|
{'date': '2018-01-02', 'ticker': 'TCX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320719-technology-top-gainers-losers-2-55-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': 'Technology - Top Gainers / Losers as of 2:55 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': 62.59999847412109, 'high': 70.05000305175781, 'open': 70.0, 'close': 63.09999847412109, 'ema_50': 62.413083383582936, 'rsi_14': 53.40599341751857, 'target': 64.5, 'volume': 347200.0, 'ema_200': 55.474630918246916, 'adj_close': 63.09999847412109, 'rsi_lag_1': 86.83128993265396, 'rsi_lag_2': 80.34188814460616, 'rsi_lag_3': 77.36625798653077, 'rsi_lag_4': 74.05858354987191, 'rsi_lag_5': 73.72881629897923, 'macd_lag_1': 2.2903330005151474, 'macd_lag_2': 2.164496952466422, 'macd_lag_3': 2.089491869010587, 'macd_lag_4': 1.9226380708518533, 'macd_lag_5': 1.7377066163503727, 'macd_12_26_9': 1.808405516291515, 'macds_12_26_9': 1.7991891638578248}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 64.5, '2018-01-04': 61.25, '2018-01-05': 61.6500015258789, '2018-01-08': 58.6500015258789, '2018-01-09': 54.9000015258789, '2018-01-10': 54.34999847412109, '2018-01-11': 52.79999923706055, '2018-01-12': 55.09999847412109, '2018-01-16': 53.09999847412109}, '1_month_later': {'2018-02-02': 53.79999923706055}, '3_months_later': {'2018-04-02': 55.79999923706055}, '6_months_later': {'2018-07-02': 60.29999923706055}, '12_months_later': {'2019-01-02': 60.68999862670898}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TCS
|
{'date': '2018-01-02', 'ticker': 'TCS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 4.71999979019165, 'high': 5.090000152587892, 'open': 4.789999961853027, 'close': 5.079999923706055, 'ema_50': 5.1246771466470005, 'rsi_14': 36.88889105525925, 'target': 4.849999904632568, 'volume': 313000.0, 'ema_200': 4.941724178805151, 'adj_close': 4.7486958503723145, 'rsi_lag_1': 22.477067531272723, 'rsi_lag_2': 24.74748107221862, 'rsi_lag_3': 21.989529057228197, 'rsi_lag_4': 28.571428571428584, 'rsi_lag_5': 25.34245725285625, 'macd_lag_1': -0.05040640576660049, 'macd_lag_2': -0.002164926267847811, 'macd_lag_3': 0.025840192982783172, 'macd_lag_4': 0.07240906506803224, 'macd_lag_5': 0.08395828969907093, 'macd_12_26_9': -0.06050548544360801, 'macds_12_26_9': 0.045894822244630144}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 4.849999904632568, '2018-01-04': 4.960000038146973, '2018-01-05': 4.849999904632568, '2018-01-08': 4.880000114440918, '2018-01-09': 4.639999866485597, '2018-01-10': 4.929999828338623, '2018-01-11': 4.989999771118164, '2018-01-12': 4.900000095367432, '2018-01-16': 4.739999771118164}, '1_month_later': {'2018-02-02': 4.690000057220459}, '3_months_later': {'2018-04-02': 5.519999980926514}, '6_months_later': {'2018-07-02': 8.300000190734862}, '12_months_later': {'2019-01-02': 4.949999809265137}}
|
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.
|
TCPC
|
{'date': '2018-01-02', 'ticker': 'TCPC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/article/4134775-10-percent-high-yield-portfolio-2017-final-results-bdc-mreit-50-50-allocation?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '10% High-Yield Portfolio 2017 Final Results (BDC And mREIT), 50/50 Allocation', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.289999961853027, 'high': 15.43000030517578, 'open': 15.31999969482422, 'close': 15.359999656677244, 'ema_50': 15.79862168181477, 'rsi_14': 31.30435936390832, 'target': 15.289999961853027, 'volume': 256200.0, 'ema_200': 16.272668234764943, 'adj_close': 11.666543006896973, 'rsi_lag_1': 24.347853489282457, 'rsi_lag_2': 27.35854149197675, 'rsi_lag_3': 29.35776605759837, 'rsi_lag_4': 34.74574079462057, 'rsi_lag_5': 37.27273278985429, 'macd_lag_1': -0.16239784163933813, 'macd_lag_2': -0.1569354925840738, 'macd_lag_3': -0.15786270782923317, 'macd_lag_4': -0.1547135765650527, 'macd_lag_5': -0.14844376063782505, 'macd_12_26_9': -0.1584450118953793, 'macds_12_26_9': -0.1492793631432411}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 15.289999961853027, '2018-01-04': 15.170000076293944, '2018-01-05': 15.199999809265137, '2018-01-08': 15.199999809265137, '2018-01-09': 15.06999969482422, '2018-01-10': 15.06999969482422, '2018-01-11': 15.399999618530272, '2018-01-12': 15.420000076293944, '2018-01-16': 15.300000190734863}, '1_month_later': {'2018-02-02': 15.039999961853027}, '3_months_later': {'2018-04-02': 14.109999656677244}, '6_months_later': {'2018-07-02': 14.609999656677244}, '12_months_later': {'2019-01-02': 13.210000038146973}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TCOM
|
{'date': '2018-01-02', 'ticker': 'TCOM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.91999816894531, 'high': 46.54999923706055, 'open': 45.09999847412109, 'close': 46.06999969482422, 'ema_50': 46.45662767299932, 'rsi_14': 72.98576028415552, 'target': 46.59999847412109, 'volume': 7911800.0, 'ema_200': 49.31042227202118, 'adj_close': 46.06999969482422, 'rsi_lag_1': 62.33477714713031, 'rsi_lag_2': 60.599585202901814, 'rsi_lag_3': 44.73684870965388, 'rsi_lag_4': 37.12948063015666, 'rsi_lag_5': 41.5357985733163, 'macd_lag_1': -0.5723870505908693, 'macd_lag_2': -0.5769997257214214, 'macd_lag_3': -0.6406764267852338, 'macd_lag_4': -0.7014320605176678, 'macd_lag_5': -0.7341574966105568, 'macd_12_26_9': -0.4050991074485637, 'macds_12_26_9': -0.6844946179849253}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 46.59999847412109, '2018-01-04': 46.209999084472656, '2018-01-05': 47.36999893188477, '2018-01-08': 47.20000076293945, '2018-01-09': 47.66999816894531, '2018-01-10': 47.1500015258789, '2018-01-11': 47.709999084472656, '2018-01-12': 47.65999984741211, '2018-01-16': 48.22000122070313}, '1_month_later': {'2018-02-02': 46.86999893188477}, '3_months_later': {'2018-04-02': 45.77000045776367}, '6_months_later': {'2018-07-02': 46.959999084472656}, '12_months_later': {'2019-01-02': 27.59000015258789}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TDE
|
{'date': '2018-01-02', 'ticker': 'TDE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 25.1299991607666, 'high': 25.43000030517578, 'open': 25.290000915527344, 'close': 25.13999938964844, 'ema_50': 25.315491933865644, 'rsi_14': 45.11274852861889, 'target': 25.01000022888184, 'volume': 17000.0, 'ema_200': 25.445941306391873, 'adj_close': 21.16365623474121, 'rsi_lag_1': 52.94115761399191, 'rsi_lag_2': 51.63929941075571, 'rsi_lag_3': 50.833349227844636, 'rsi_lag_4': 51.63937501758818, 'rsi_lag_5': 57.798126608769905, 'macd_lag_1': 0.0006955291878334435, 'macd_lag_2': -0.002790119193807783, 'macd_lag_3': -0.009234900730408668, 'macd_lag_4': -0.009181012921878562, 'macd_lag_5': -0.008978690476492801, 'macd_12_26_9': -0.01014273562136836, 'macds_12_26_9': -0.0150102029531652}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 25.01000022888184, '2018-01-04': 25.1299991607666, '2018-01-05': 25.20000076293945, '2018-01-08': 25.10000038146973, '2018-01-09': 25.1200008392334, '2018-01-10': 25.11000061035156, '2018-01-11': 25.07999992370605, '2018-01-12': 25.01000022888184, '2018-01-16': 24.89999961853028}, '1_month_later': {'2018-02-02': 24.5}, '3_months_later': {'2018-04-02': 25.25}, '6_months_later': {'2018-07-02': 25.520000457763672}, '12_months_later': {'2019-01-02': 23.38999938964844}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TGC
|
{'date': '2018-01-02', 'ticker': 'TGC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.7900000214576721, 'high': 0.9200000166893004, 'open': 0.7900000214576721, 'close': 0.9100000262260436, 'ema_50': 0.7228185715066165, 'rsi_14': 57.894739731528034, 'target': 0.8799999952316284, 'volume': 232900.0, 'ema_200': 0.7032660709741322, 'adj_close': 0.9100000262260436, 'rsi_lag_1': 55.55555647538067, 'rsi_lag_2': 56.33802864197316, 'rsi_lag_3': 59.21052837966288, 'rsi_lag_4': 60.256414665039, 'rsi_lag_5': 50.649350146697124, 'macd_lag_1': 0.03827531760131242, 'macd_lag_2': 0.04052197258134094, 'macd_lag_3': 0.039745568249526686, 'macd_lag_4': 0.038176476636926804, 'macd_lag_5': 0.03765481264918935, 'macd_12_26_9': 0.04485386179114159, 'macds_12_26_9': 0.04004228674047104}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 0.8799999952316284, '2018-01-04': 0.8600000143051147, '2018-01-05': 0.8299999833106995, '2018-01-08': 0.8399999737739563, '2018-01-09': 0.8000000119209291, '2018-01-10': 0.8000000119209291, '2018-01-11': 0.8100000023841858, '2018-01-12': 0.8399999737739563, '2018-01-16': 0.7699999809265137}, '1_month_later': {'2018-02-02': 0.7200000286102295}, '3_months_later': {'2018-04-02': 0.699999988079071}, '6_months_later': {'2018-07-02': 0.8799999952316284}, '12_months_later': {'2019-01-02': 0.9499999880790708}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TECS
|
{'date': '2018-01-02', 'ticker': 'TECS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 332.5, 'high': 343.0, 'open': 342.0, 'close': 333.0, 'ema_50': 364.07720971682636, 'rsi_14': 38.59649122807018, 'target': 324.5, 'volume': 5600.0, 'ema_200': 524.2410797292216, 'adj_close': 325.8798217773437, 'rsi_lag_1': 40.74074074074074, 'rsi_lag_2': 31.48148148148148, 'rsi_lag_3': 28.813559322033896, 'rsi_lag_4': 26.15384615384616, 'rsi_lag_5': 17.647058823529406, 'macd_lag_1': -6.54506439318601, 'macd_lag_2': -7.443712238660282, 'macd_lag_3': -7.973350583412412, 'macd_lag_4': -8.635203880410018, 'macd_lag_5': -9.456184577590022, 'macd_12_26_9': -6.723672897236838, 'macds_12_26_9': -7.816264370591087}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 324.5, '2018-01-04': 319.0, '2018-01-05': 309.5, '2018-01-08': 306.0, '2018-01-09': 308.0, '2018-01-10': 311.5, '2018-01-11': 306.5, '2018-01-12': 302.5, '2018-01-16': 305.5}, '1_month_later': {'2018-02-02': 303.0}, '3_months_later': {'2018-04-02': 316.29998779296875}, '6_months_later': {'2018-07-02': 231.0}, '12_months_later': {'2019-01-02': 276.70001220703125}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TGA
|
{'date': '2018-01-02', 'ticker': 'TGA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.440000057220459, 'high': 1.4800000190734863, 'open': 1.4700000286102295, 'close': 1.4600000381469729, 'ema_50': 1.4146304616095255, 'rsi_14': 63.6363669203657, 'target': 1.440000057220459, 'volume': 54800.0, 'ema_200': 1.462818188026087, 'adj_close': 1.3809841871261597, 'rsi_lag_1': 64.70588441538546, 'rsi_lag_2': 56.249995343386146, 'rsi_lag_3': 53.124997671693066, 'rsi_lag_4': 36.36364621564602, 'rsi_lag_5': 34.28571331257727, 'macd_lag_1': -0.02077390908381571, 'macd_lag_2': -0.029866609211507633, 'macd_lag_3': -0.03696504207779472, 'macd_lag_4': -0.044469369477010634, 'macd_lag_5': -0.04830988865650432, 'macd_12_26_9': -0.01181781894879319, 'macds_12_26_9': -0.03251963878171624}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 1.440000057220459, '2018-01-04': 1.440000057220459, '2018-01-05': 1.440000057220459, '2018-01-08': 1.440000057220459, '2018-01-09': 1.4500000476837158, '2018-01-10': 1.4500000476837158, '2018-01-11': 1.4800000190734863, '2018-01-12': 1.4700000286102295, '2018-01-16': 1.4600000381469729}, '1_month_later': {'2018-02-02': 1.440000057220459}, '3_months_later': {'2018-04-02': 1.3200000524520874}, '6_months_later': {'2018-07-02': 2.7300000190734863}, '12_months_later': {'2019-01-02': 1.7999999523162842}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
tg
|
{'date': '2018-01-02', 'ticker': 'tg', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 19.200000762939453, 'high': 19.799999237060547, 'open': 19.39999961853028, 'close': 19.600000381469727, 'ema_50': 19.069822805871404, 'rsi_14': 54.16669095008937, 'target': 19.5, 'volume': 87300.0, 'ema_200': 18.16307428075407, 'adj_close': 11.469953536987305, 'rsi_lag_1': 54.79453629640161, 'rsi_lag_2': 58.82355581111586, 'rsi_lag_3': 50.793670977285544, 'rsi_lag_4': 51.61291314959974, 'rsi_lag_5': 45.71426235895813, 'macd_lag_1': 0.03451783252320695, 'macd_lag_2': 0.049553893037938224, 'macd_lag_3': 0.037479213150039214, 'macd_lag_4': 0.06224961251583849, 'macd_lag_5': 0.0776875121830578, 'macd_12_26_9': 0.05425287909642762, 'macds_12_26_9': 0.0604078874004707}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 19.5, '2018-01-04': 19.350000381469727, '2018-01-05': 19.299999237060547, '2018-01-08': 19.89999961853028, '2018-01-09': 19.14999961853028, '2018-01-10': 19.75, '2018-01-11': 20.25, '2018-01-12': 19.799999237060547, '2018-01-16': 19.950000762939453}, '1_month_later': {'2018-02-02': 17.799999237060547}, '3_months_later': {'2018-04-02': 16.989999771118164}, '6_months_later': {'2018-07-02': 23.549999237060547}, '12_months_later': {'2019-01-02': 16.219999313354492}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TFX
|
{'date': '2018-01-02', 'ticker': 'TFX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 248.9600067138672, 'high': 255.69000244140625, 'open': 248.9600067138672, 'close': 254.72999572753903, 'ema_50': 250.9637269050048, 'rsi_14': 53.75332116042408, 'target': 256.6400146484375, 'volume': 304500.0, 'ema_200': 225.0391996342115, 'adj_close': 251.7666015625, 'rsi_lag_1': 43.12152328060052, 'rsi_lag_2': 50.581381487278804, 'rsi_lag_3': 49.15885472817659, 'rsi_lag_4': 42.75524564445264, 'rsi_lag_5': 43.275078917389735, 'macd_lag_1': -1.6112018584580312, 'macd_lag_2': -1.5006312203632035, 'macd_lag_3': -1.6115651194924965, 'macd_lag_4': -1.5403342868617926, 'macd_lag_5': -1.2478135392537695, 'macd_12_26_9': -1.208017934666799, 'macds_12_26_9': -1.151680448418757}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 256.6400146484375, '2018-01-04': 254.009994506836, '2018-01-05': 257.73001098632807, '2018-01-08': 258.67999267578125, '2018-01-09': 262.1400146484375, '2018-01-10': 257.92001342773443, '2018-01-11': 260.66000366210943, '2018-01-12': 263.17999267578125, '2018-01-16': 262.92999267578125}, '1_month_later': {'2018-02-02': 272.3599853515625}, '3_months_later': {'2018-04-02': 250.0399932861328}, '6_months_later': {'2018-07-02': 267.6000061035156}, '12_months_later': {'2019-01-02': 252.3800048828125}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TFLO
|
{'date': '2018-01-02', 'ticker': 'TFLO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 50.11999893188477, 'high': 50.209999084472656, 'open': 50.11999893188477, 'close': 50.1500015258789, 'ema_50': 50.213216402771664, 'rsi_14': 39.394044481434, 'target': 50.209999084472656, 'volume': 35900.0, 'ema_200': 50.19526282646178, 'adj_close': 48.15980911254883, 'rsi_lag_1': 51.85221814071889, 'rsi_lag_2': 48.147781859282375, 'rsi_lag_3': 43.99957276042291, 'rsi_lag_4': 43.99957276042291, 'rsi_lag_5': 50.0, 'macd_lag_1': -0.004120374499528623, 'macd_lag_2': -0.005232651758504403, 'macd_lag_3': -0.005557811381784461, 'macd_lag_4': -0.003855582163104998, 'macd_lag_5': -0.001626837492516131, 'macd_12_26_9': -0.0087859976074256, 'macds_12_26_9': -0.003433026716016866}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 50.209999084472656, '2018-01-04': 50.20000076293945, '2018-01-05': 50.22000122070313, '2018-01-08': 50.22000122070313, '2018-01-09': 50.22000122070313, '2018-01-10': 50.209999084472656, '2018-01-11': 50.2400016784668, '2018-01-12': 50.2400016784668, '2018-01-16': 50.22000122070313}, '1_month_later': {'2018-02-02': 50.209999084472656}, '3_months_later': {'2018-04-02': 50.22999954223633}, '6_months_later': {'2018-07-02': 50.25}, '12_months_later': {'2019-01-02': 50.27000045776367}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
tfii
|
{'date': '2018-01-02', 'ticker': 'tfii', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 26.209999084472656, 'high': 26.209999084472656, 'open': 26.209999084472656, 'close': 26.209999084472656, 'ema_50': 24.79756849569629, 'rsi_14': 68.8371835134224, 'target': 27.06999969482422, 'volume': 300.0, 'ema_200': 23.848969267712924, 'adj_close': 23.74005126953125, 'rsi_lag_1': 54.88213304288576, 'rsi_lag_2': 54.88213304288576, 'rsi_lag_3': 45.40390342127144, 'rsi_lag_4': 45.40390342127144, 'rsi_lag_5': 49.09088837354701, 'macd_lag_1': 0.028577458413906243, 'macd_lag_2': 0.02345699929888667, 'macd_lag_3': 0.016580238765925515, 'macd_lag_4': 0.007561824576345799, 'macd_lag_5': -0.004058941528551685, 'macd_12_26_9': 0.13836040509978176, 'macds_12_26_9': 0.026532181003684218}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 27.06999969482422, '2018-01-04': 27.06999969482422, '2018-01-05': 27.06999969482422, '2018-01-08': 27.07999992370605, '2018-01-09': 27.07999992370605, '2018-01-10': 26.68000030517578, '2018-01-11': 26.68000030517578, '2018-01-12': 26.68000030517578, '2018-01-16': 26.68000030517578}, '1_month_later': {'2018-02-02': 24.959999084472656}, '3_months_later': {'2018-04-02': 26.0}, '6_months_later': {'2018-07-02': 30.979999542236328}, '12_months_later': {'2019-01-02': 25.940000534057617}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TFI
|
{'date': '2018-01-02', 'ticker': 'TFI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 48.88999938964844, 'high': 49.040000915527344, 'open': 48.97000122070313, 'close': 48.93999862670898, 'ema_50': 48.89722711973841, 'rsi_14': 52.41924567772101, 'target': 48.93999862670898, 'volume': 447300.0, 'ema_200': 48.84180089106278, 'adj_close': 46.34394454956055, 'rsi_lag_1': 54.09843754397051, 'rsi_lag_2': 41.77223441472383, 'rsi_lag_3': 36.36361384483152, 'rsi_lag_4': 44.3181793551882, 'rsi_lag_5': 48.69112457234594, 'macd_lag_1': -0.015242386567898336, 'macd_lag_2': -0.02988336295518934, 'macd_lag_3': -0.04813590571929183, 'macd_lag_4': -0.060550577720739795, 'macd_lag_5': -0.06329740488019553, 'macd_12_26_9': -0.005991203032451153, 'macds_12_26_9': -0.027514792833154}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 48.93999862670898, '2018-01-04': 48.86000061035156, '2018-01-05': 48.88999938964844, '2018-01-08': 48.959999084472656, '2018-01-09': 48.86000061035156, '2018-01-10': 48.70000076293945, '2018-01-11': 48.7400016784668, '2018-01-12': 48.72000122070313, '2018-01-16': 48.72000122070313}, '1_month_later': {'2018-02-02': 47.93000030517578}, '3_months_later': {'2018-04-02': 47.90999984741211}, '6_months_later': {'2018-07-02': 47.959999084472656}, '12_months_later': {'2019-01-02': 48.18999862670898}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
tex
|
{'date': '2018-01-02', 'ticker': 'tex', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 48.060001373291016, 'high': 48.81999969482422, 'open': 48.43000030517578, 'close': 48.59000015258789, 'ema_50': 46.16449431565747, 'rsi_14': 60.929665279285445, 'target': 48.43000030517578, 'volume': 623200.0, 'ema_200': 40.355269839730546, 'adj_close': 45.44075012207031, 'rsi_lag_1': 61.69952382026192, 'rsi_lag_2': 65.61745488401655, 'rsi_lag_3': 68.68572504783639, 'rsi_lag_4': 62.90673393554818, 'rsi_lag_5': 61.57110420074216, 'macd_lag_1': 0.7530737238954543, 'macd_lag_2': 0.7661056153871115, 'macd_lag_3': 0.7441047376948902, 'macd_lag_4': 0.6950186129816558, 'macd_lag_5': 0.6436392316687787, 'macd_12_26_9': 0.7637971000692048, 'macds_12_26_9': 0.6570759961710096}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 48.43000030517578, '2018-01-04': 47.560001373291016, '2018-01-05': 46.95000076293945, '2018-01-08': 47.290000915527344, '2018-01-09': 47.41999816894531, '2018-01-10': 47.58000183105469, '2018-01-11': 48.220001220703125, '2018-01-12': 48.79999923706055, '2018-01-16': 48.59000015258789}, '1_month_later': {'2018-02-02': 45.25}, '3_months_later': {'2018-04-02': 35.84000015258789}, '6_months_later': {'2018-07-02': 42.150001525878906}, '12_months_later': {'2019-01-02': 27.440000534057617}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TECL
|
{'date': '2018-01-02', 'ticker': 'TECL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 113.0, 'high': 116.41999816894533, 'open': 113.6999969482422, 'close': 116.33999633789062, 'ema_50': 108.83986628237591, 'rsi_14': 59.064313352520784, 'target': 119.1999969482422, 'volume': 146400.0, 'ema_200': 89.12061486561694, 'adj_close': 115.29442596435548, 'rsi_lag_1': 55.859158882251585, 'rsi_lag_2': 65.63003683382883, 'rsi_lag_3': 68.25162119951943, 'rsi_lag_4': 70.55581411323043, 'rsi_lag_5': 79.04714630499983, 'macd_lag_1': 1.5038969981440857, 'macd_lag_2': 1.796671658481273, 'macd_lag_3': 1.941606441520662, 'macd_lag_4': 2.1401002074108817, 'macd_lag_5': 2.4020307307126103, 'macd_12_26_9': 1.5900261410078116, 'macds_12_26_9': 1.8634642681973717}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 119.1999969482422, '2018-01-04': 121.25, '2018-01-05': 125.12999725341795, '2018-01-08': 126.47000122070312, '2018-01-09': 125.37999725341795, '2018-01-10': 123.98999786376952, '2018-01-11': 125.8000030517578, '2018-01-12': 127.73999786376952, '2018-01-16': 126.2699966430664}, '1_month_later': {'2018-02-02': 124.76000213623048}, '3_months_later': {'2018-04-02': 106.47000122070312}, '6_months_later': {'2018-07-02': 137.27000427246094}, '12_months_later': {'2019-01-02': 85.02999877929688}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TEUM
|
{'date': '2018-01-02', 'ticker': 'TEUM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 2.1300001144409184, 'high': 2.6800000667572017, 'open': 2.400000095367432, 'close': 2.6800000667572017, 'ema_50': 1.2759379918185165, 'rsi_14': 70.14925422452367, 'target': 2.9800000190734863, 'volume': 18997500.0, 'ema_200': 1.4136996915550801, 'adj_close': 2.6800000667572017, 'rsi_lag_1': 65.52567196187647, 'rsi_lag_2': 64.03061270260753, 'rsi_lag_3': 74.70238167568704, 'rsi_lag_4': 81.75895594719798, 'rsi_lag_5': 62.420381295076005, 'macd_lag_1': 0.31232438172063004, 'macd_lag_2': 0.29946165302469385, 'macd_lag_3': 0.2980337762244776, 'macd_lag_4': 0.2287489762416104, 'macd_lag_5': 0.1064436694641242, 'macd_12_26_9': 0.36750374526166496, 'macds_12_26_9': 0.22307865791585557}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 2.9800000190734863, '2018-01-04': 2.9200000762939453, '2018-01-05': 2.8299999237060547, '2018-01-08': 2.6600000858306885, '2018-01-09': 2.2300000190734863, '2018-01-10': 2.509999990463257, '2018-01-11': 2.4800000190734863, '2018-01-12': 2.380000114440918, '2018-01-16': 2.309999942779541}, '1_month_later': {'2018-02-02': 1.8899999856948853}, '3_months_later': {'2018-04-02': 2.25}, '6_months_later': {'2018-07-02': 2.440000057220459}, '12_months_later': {'2019-01-02': 1.75}}
|
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.
|
TERP
|
{'date': '2018-01-02', 'ticker': 'TERP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 11.770000457763672, 'high': 12.109999656677244, 'open': 12.039999961853027, 'close': 11.8100004196167, 'ema_50': 12.161716639731571, 'rsi_14': 63.3928670262814, 'target': 11.510000228881836, 'volume': 379800.0, 'ema_200': 12.555366254748156, 'adj_close': 10.22284698486328, 'rsi_lag_1': 63.111114501953125, 'rsi_lag_2': 64.83052080302593, 'rsi_lag_3': 62.100469346998885, 'rsi_lag_4': 53.754950246862116, 'rsi_lag_5': 55.84906325810344, 'macd_lag_1': -0.14670538642967124, 'macd_lag_2': -0.1826880428216331, 'macd_lag_3': -0.21883047470241657, 'macd_lag_4': -0.22817837952995745, 'macd_lag_5': -0.23679074708031145, 'macd_12_26_9': -0.128807771801009, 'macds_12_26_9': -0.20902679512736524}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 11.510000228881836, '2018-01-04': 11.390000343322756, '2018-01-05': 11.260000228881836, '2018-01-08': 11.479999542236328, '2018-01-09': 11.1899995803833, '2018-01-10': 11.449999809265137, '2018-01-11': 11.59000015258789, '2018-01-12': 11.43000030517578, '2018-01-16': 11.300000190734863}, '1_month_later': {'2018-02-02': 10.970000267028809}, '3_months_later': {'2018-04-02': 10.68000030517578}, '6_months_later': {'2018-07-02': 11.699999809265137}, '12_months_later': {'2019-01-02': 11.15999984741211}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TERM
|
{'date': '2018-01-02', 'ticker': 'TERM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 22.420000076293945, 'high': 22.420000076293945, 'open': 22.420000076293945, 'close': 22.420000076293945, 'ema_50': 21.76453196801937, 'rsi_14': 76.91229112915236, 'target': 22.59000015258789, 'volume': 1100.0, 'ema_200': 20.92814751866055, 'adj_close': 21.47081756591797, 'rsi_lag_1': 76.91235350375295, 'rsi_lag_2': 80.26647577702884, 'rsi_lag_3': 80.26647577702884, 'rsi_lag_4': 81.17793718931112, 'rsi_lag_5': 58.0782761154209, 'macd_lag_1': 0.2158467298442659, 'macd_lag_2': 0.2212994247143385, 'macd_lag_3': 0.22605835056608825, 'macd_lag_4': 0.23189896437617463, 'macd_lag_5': 0.23598063561194849, 'macd_12_26_9': 0.21469890490531895, 'macds_12_26_9': 0.2212410960712192}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 22.59000015258789, '2018-01-04': 22.670000076293945, '2018-01-05': 22.77499961853028, '2018-01-08': 22.80500030517578, '2018-01-09': 22.86000061035156, '2018-01-10': 22.73500061035156, '2018-01-11': 22.940000534057614, '2018-01-12': 23.10000038146973, '2018-01-16': 22.959999084472656}, '1_month_later': {'2018-02-02': 22.729999542236328}, '3_months_later': {'2018-04-02': 20.959999084472656}, '6_months_later': {'2018-07-02': 22.1299991607666}, '12_months_later': {'2019-01-02': 20.11100006103516}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
teo
|
{'date': '2018-01-02', 'ticker': 'teo', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 36.5099983215332, 'high': 37.59000015258789, 'open': 36.7599983215332, 'close': 37.2599983215332, 'ema_50': 35.54063431469351, 'rsi_14': 47.21823610750592, 'target': 37.540000915527344, 'volume': 166600.0, 'ema_200': 29.903572304948504, 'adj_close': 27.445858001708984, 'rsi_lag_1': 43.511465052730166, 'rsi_lag_2': 45.735282567963296, 'rsi_lag_3': 51.71875912695905, 'rsi_lag_4': 64.64842964196995, 'rsi_lag_5': 71.40547899112019, 'macd_lag_1': 0.7320586638586377, 'macd_lag_2': 0.8908864074788028, 'macd_lag_3': 1.079632005216368, 'macd_lag_4': 1.2437451423003907, 'macd_lag_5': 1.2966499432784744, 'macd_12_26_9': 0.6495346152681094, 'macds_12_26_9': 0.9855735029522846}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 37.540000915527344, '2018-01-04': 37.79999923706055, '2018-01-05': 38.02999877929688, '2018-01-08': 39.09999847412109, '2018-01-09': 39.02999877929688, '2018-01-10': 39.09999847412109, '2018-01-11': 39.150001525878906, '2018-01-12': 38.77000045776367, '2018-01-16': 38.470001220703125}, '1_month_later': {'2018-02-02': 36.83000183105469}, '3_months_later': {'2018-04-02': 30.89999961853028}, '6_months_later': {'2018-07-02': 17.209999084472656}, '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.
|
TENX
|
{'date': '2018-01-02', 'ticker': 'TENX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 8.600000381469728, 'high': 10.0, 'open': 10.0, 'close': 8.960000038146973, 'ema_50': 8.658484879135207, 'rsi_14': 62.82895007725469, 'target': 9.4399995803833, 'volume': 14800.0, 'ema_200': 13.508932605857627, 'adj_close': 8.960000038146973, 'rsi_lag_1': 70.22059774187727, 'rsi_lag_2': 76.981137575482, 'rsi_lag_3': 91.59293533800542, 'rsi_lag_4': 79.48719923784259, 'rsi_lag_5': 78.28283874298923, 'macd_lag_1': 0.5628265217621653, 'macd_lag_2': 0.5768540100235828, 'macd_lag_3': 0.5456403482810934, 'macd_lag_4': 0.4123364903276432, 'macd_lag_5': 0.3420855769782314, 'macd_12_26_9': 0.4784137877695738, 'macds_12_26_9': 0.3826981680328483}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 9.4399995803833, '2018-01-04': 9.399999618530272, '2018-01-05': 9.399999618530272, '2018-01-08': 9.220000267028809, '2018-01-09': 8.899999618530273, '2018-01-10': 8.0, '2018-01-11': 8.199999809265138, '2018-01-12': 8.380000114440918, '2018-01-16': 7.3400001525878915}, '1_month_later': {'2018-02-02': 6.340000152587892}, '3_months_later': {'2018-04-02': 5.230000019073486}, '6_months_later': {'2018-07-02': 6.21999979019165}, '12_months_later': {'2019-01-02': 1.2400000095367432}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TEN
|
{'date': '2018-01-02', 'ticker': 'TEN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 58.45000076293945, 'high': 59.43000030517578, 'open': 58.68000030517578, 'close': 58.6500015258789, 'ema_50': 58.1384150745739, 'rsi_14': 60.22253631123667, 'target': 59.56999969482422, 'volume': 440100.0, 'ema_200': 58.171740510555395, 'adj_close': 56.87128829956055, 'rsi_lag_1': 55.968179155160996, 'rsi_lag_2': 66.97860812570948, 'rsi_lag_3': 66.02476246046248, 'rsi_lag_4': 51.8213718024462, 'rsi_lag_5': 51.821395031927324, 'macd_lag_1': 0.27857857265491504, 'macd_lag_2': 0.2858571212528176, 'macd_lag_3': 0.20444397506175704, 'macd_lag_4': 0.16373905033368175, 'macd_lag_5': 0.14911252284564824, 'macd_12_26_9': 0.2784762989648897, 'macds_12_26_9': 0.1485724326776986}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 59.56999969482422, '2018-01-04': 61.33000183105469, '2018-01-05': 63.33000183105469, '2018-01-08': 63.06999969482422, '2018-01-09': 64.13999938964844, '2018-01-10': 62.93000030517578, '2018-01-11': 63.90999984741211, '2018-01-12': 64.69000244140625, '2018-01-16': 63.68999862670898}, '1_month_later': {'2018-02-02': 55.18000030517578}, '3_months_later': {'2018-04-02': 53.08000183105469}, '6_months_later': {'2018-07-02': 44.5099983215332}, '12_months_later': {'2019-01-02': 27.36000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TELL
|
{'date': '2018-01-02', 'ticker': 'TELL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 9.699999809265137, 'high': 10.0600004196167, 'open': 9.869999885559082, 'close': 10.020000457763672, 'ema_50': 10.548134581925423, 'rsi_14': 60.64517518358208, 'target': 10.029999732971191, 'volume': 1291800.0, 'ema_200': 10.070012989980887, 'adj_close': 10.020000457763672, 'rsi_lag_1': 46.15383076375183, 'rsi_lag_2': 19.020189305659358, 'rsi_lag_3': 23.361833966715892, 'rsi_lag_4': 21.750677690499543, 'rsi_lag_5': 15.921801921892964, 'macd_lag_1': -0.40261158558165633, 'macd_lag_2': -0.4096026163567057, 'macd_lag_3': -0.42274971460313715, 'macd_lag_4': -0.44559927613673445, 'macd_lag_5': -0.47439131520223654, 'macd_12_26_9': -0.3702098789390931, 'macds_12_26_9': -0.3812568317900705}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 10.029999732971191, '2018-01-04': 10.0, '2018-01-05': 11.079999923706056, '2018-01-08': 11.279999732971191, '2018-01-09': 11.09000015258789, '2018-01-10': 11.359999656677244, '2018-01-11': 11.369999885559082, '2018-01-12': 11.199999809265137, '2018-01-16': 11.039999961853027}, '1_month_later': {'2018-02-02': 11.1899995803833}, '3_months_later': {'2018-04-02': 7.079999923706055}, '6_months_later': {'2018-07-02': 8.550000190734862}, '12_months_later': {'2019-01-02': 7.110000133514403}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TEL
|
{'date': '2018-01-02', 'ticker': 'TEL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 94.23999786376952, 'high': 95.70999908447266, 'open': 95.70999908447266, 'close': 95.31999969482422, 'ema_50': 92.93219745788964, 'rsi_14': 52.9411576139919, 'target': 96.93000030517578, 'volume': 1805700.0, 'ema_200': 83.9470147219207, 'adj_close': 90.2262191772461, 'rsi_lag_1': 52.34043243945199, 'rsi_lag_2': 62.43088954551122, 'rsi_lag_3': 70.81541504219607, 'rsi_lag_4': 68.7499801318398, 'rsi_lag_5': 64.44436438311746, 'macd_lag_1': 0.5846509767825978, 'macd_lag_2': 0.6512528412489047, 'macd_lag_3': 0.7064249449285285, 'macd_lag_4': 0.7716597828849387, 'macd_lag_5': 0.8365717739252148, 'macd_12_26_9': 0.5481434246029551, 'macds_12_26_9': 0.7327770497193989}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 96.93000030517578, '2018-01-04': 97.37999725341795, '2018-01-05': 99.5999984741211, '2018-01-08': 99.80999755859376, '2018-01-09': 98.81999969482422, '2018-01-10': 98.5199966430664, '2018-01-11': 99.26000213623048, '2018-01-12': 100.16999816894533, '2018-01-16': 100.11000061035156}, '1_month_later': {'2018-02-02': 102.18000030517578}, '3_months_later': {'2018-04-02': 96.91000366210938}, '6_months_later': {'2018-07-02': 90.48999786376952}, '12_months_later': {'2019-01-02': 75.23999786376953}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TEDU
|
{'date': '2018-01-02', 'ticker': 'TEDU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 14.779999732971191, 'high': 15.449999809265137, 'open': 15.0, 'close': 14.899999618530272, 'ema_50': 14.30772976660746, 'rsi_14': 80.28840356508634, 'target': 15.18000030517578, 'volume': 155400.0, 'ema_200': 15.450457974807723, 'adj_close': 14.737749099731444, 'rsi_lag_1': 86.38292933445376, 'rsi_lag_2': 75.94333744942038, 'rsi_lag_3': 76.81812290327449, 'rsi_lag_4': 76.81815620299353, 'rsi_lag_5': 75.82934575730484, 'macd_lag_1': 0.17605713809626167, 'macd_lag_2': 0.12335775965134488, 'macd_lag_3': 0.09706353879119867, 'macd_lag_4': 0.07023616492462637, 'macd_lag_5': 0.027845724761629498, 'macd_12_26_9': 0.20815997640824513, 'macds_12_26_9': 0.06311620226557002}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 15.18000030517578, '2018-01-04': 15.170000076293944, '2018-01-05': 15.15999984741211, '2018-01-08': 15.0600004196167, '2018-01-09': 14.68000030517578, '2018-01-10': 14.739999771118164, '2018-01-11': 14.489999771118164, '2018-01-12': 14.18000030517578, '2018-01-16': 13.81999969482422}, '1_month_later': {'2018-02-02': 13.170000076293944}, '3_months_later': {'2018-04-02': 11.06999969482422}, '6_months_later': {'2018-07-02': 7.829999923706055}, '12_months_later': {'2019-01-02': 6.480000019073486}}
|
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.
|
TESS
|
{'date': '2018-01-02', 'ticker': 'TESS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320719-technology-top-gainers-losers-2-55-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': 'Technology - Top Gainers / Losers as of 2:55 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': 17.549999237060547, 'high': 22.82999992370605, 'open': 20.14999961853028, 'close': 18.950000762939453, 'ema_50': 16.78179624472682, 'rsi_14': 56.097560975609746, 'target': 18.5, 'volume': 323800.0, 'ema_200': 14.854544261719461, 'adj_close': 17.014955520629886, 'rsi_lag_1': 62.499994816987865, 'rsi_lag_2': 66.8604621505532, 'rsi_lag_3': 80.40539913581662, 'rsi_lag_4': 50.9493581111465, 'rsi_lag_5': 50.79363829905759, 'macd_lag_1': 0.9620628507977642, 'macd_lag_2': 0.8885064517192269, 'macd_lag_3': 0.7206070605752508, 'macd_lag_4': 0.35327941020184284, 'macd_lag_5': 0.3211880696585254, 'macd_12_26_9': 0.9130024245495143, 'macds_12_26_9': 0.6906751864945402}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 18.5, '2018-01-04': 18.350000381469727, '2018-01-05': 20.100000381469727, '2018-01-08': 19.14999961853028, '2018-01-09': 19.350000381469727, '2018-01-10': 20.0, '2018-01-11': 19.89999961853028, '2018-01-12': 21.25, '2018-01-16': 20.700000762939453}, '1_month_later': {'2018-02-02': 21.89999961853028}, '3_months_later': {'2018-04-02': 23.04999923706055}, '6_months_later': {'2018-07-02': 17.399999618530273}, '12_months_later': {'2019-01-02': 12.670000076293944}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TMDI
|
{'date': '2018-01-02', 'ticker': 'TMDI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 8.699999809265138, 'high': 9.0, 'open': 8.699999809265138, 'close': 8.699999809265138, 'ema_50': 9.336569168554561, 'rsi_14': 42.857142857142904, 'target': 9.0, 'volume': 21700.0, 'ema_200': 8.536122698912607, 'adj_close': 8.699999809265138, 'rsi_lag_1': 42.85714285714287, 'rsi_lag_2': 50.0, 'rsi_lag_3': 44.44444444444445, 'rsi_lag_4': 54.54545454545451, 'rsi_lag_5': 50.0, 'macd_lag_1': -0.35359223390783967, 'macd_lag_2': -0.37793077912396456, 'macd_lag_3': -0.40349843823074316, 'macd_lag_4': -0.4302630003891288, 'macd_lag_5': -0.45816594335653527, 'macd_12_26_9': -0.3544256711457603, 'macds_12_26_9': -0.4039349580081223}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 9.0, '2018-01-04': 9.300000190734863, '2018-01-05': 11.100000381469728, '2018-01-08': 10.5, '2018-01-09': 10.5, '2018-01-10': 11.100000381469728, '2018-01-11': 11.100000381469728, '2018-01-12': 11.399999618530272, '2018-01-16': 11.100000381469728}, '1_month_later': {'2018-02-02': 10.5}, '3_months_later': {'2018-04-02': 6.0}, '6_months_later': {'2018-07-02': 5.949999809265138}, '12_months_later': {'2019-01-02': 1.2100000381469729}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
tmf
|
{'date': '2018-01-02', 'ticker': 'tmf', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 211.5, 'high': 219.3999938964844, 'open': 219.0, 'close': 213.8000030517578, 'ema_50': 216.37903039835206, 'rsi_14': 45.17857687813895, 'target': 216.3999938964844, 'volume': 91840.0, 'ema_200': 212.4518899719207, 'adj_close': 208.53599548339844, 'rsi_lag_1': 50.70141512289895, 'rsi_lag_2': 49.29293215755334, 'rsi_lag_3': 45.18518665036426, 'rsi_lag_4': 38.716340213692725, 'rsi_lag_5': 40.20202026429462, 'macd_lag_1': 0.10598378688146681, 'macd_lag_2': -0.23842385559640888, 'macd_lag_3': -0.5829079673771105, 'macd_lag_4': -1.0446620648852445, 'macd_lag_5': -0.7941052251303233, 'macd_12_26_9': -0.2077253838174613, 'macds_12_26_9': 0.12775282912767488}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 216.3999938964844, '2018-01-04': 216.6999969482422, '2018-01-05': 215.0, '2018-01-08': 214.3999938964844, '2018-01-09': 205.5, '2018-01-10': 205.1000061035156, '2018-01-11': 207.6000061035156, '2018-01-12': 208.5, '2018-01-16': 210.6999969482422}, '1_month_later': {'2018-02-02': 185.1000061035156}, '3_months_later': {'2018-04-02': 196.3000030517578}, '6_months_later': {'2018-07-02': 193.3000030517578}, '12_months_later': {'2019-01-02': 196.8000030517578}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
tmo
|
{'date': '2018-01-02', 'ticker': 'tmo', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 190.3800048828125, 'high': 193.4900054931641, 'open': 190.8000030517578, 'close': 192.97999572753903, 'ema_50': 190.41168171143204, 'rsi_14': 58.96249482752126, 'target': 196.5200042724609, 'volume': 1140900.0, 'ema_200': 179.9484742503028, 'adj_close': 190.1260681152344, 'rsi_lag_1': 55.363129777434544, 'rsi_lag_2': 64.6251241690843, 'rsi_lag_3': 67.63286021251741, 'rsi_lag_4': 68.52983061950425, 'rsi_lag_5': 69.39436757826746, 'macd_lag_1': 0.10149505404504566, 'macd_lag_2': 0.19698037413269276, 'macd_lag_3': 0.18464442446904172, 'macd_lag_4': 0.16621352981519522, 'macd_lag_5': 0.2247806320942516, 'macd_12_26_9': 0.2728206962446791, 'macds_12_26_9': 0.08181649582829112}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 196.5200042724609, '2018-01-04': 198.97999572753903, '2018-01-05': 202.38999938964844, '2018-01-08': 202.72000122070312, '2018-01-09': 206.1000061035156, '2018-01-10': 206.2899932861328, '2018-01-11': 208.6600036621093, '2018-01-12': 210.1699981689453, '2018-01-16': 208.009994506836}, '1_month_later': {'2018-02-02': 217.69000244140625}, '3_months_later': {'2018-04-02': 203.13999938964844}, '6_months_later': {'2018-07-02': 205.57000732421875}, '12_months_later': {'2019-01-02': 219.4199981689453}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TSC
|
{'date': '2018-01-02', 'ticker': 'TSC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 22.450000762939453, 'high': 23.25, 'open': 23.04999923706055, 'close': 22.70000076293945, 'ema_50': 23.35058537906513, 'rsi_14': 41.89191418376308, 'target': 22.75, 'volume': 72700.0, 'ema_200': 22.595974567716123, 'adj_close': 22.70000076293945, 'rsi_lag_1': 44.285722849315604, 'rsi_lag_2': 46.268659265779434, 'rsi_lag_3': 42.42424067277401, 'rsi_lag_4': 38.88889477576982, 'rsi_lag_5': 39.43661744810666, 'macd_lag_1': 0.013674027886203532, 'macd_lag_2': 0.07645658762259089, 'macd_lag_3': 0.10965960854867873, 'macd_lag_4': 0.1657165708594981, 'macd_lag_5': 0.2144915022244227, 'macd_12_26_9': -0.05960197973985615, 'macds_12_26_9': 0.10005534962775967}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 22.75, '2018-01-04': 22.79999923706055, '2018-01-05': 23.39999961853028, '2018-01-08': 23.20000076293945, '2018-01-09': 23.14999961853028, '2018-01-10': 23.29999923706055, '2018-01-11': 23.85000038146973, '2018-01-12': 24.10000038146973, '2018-01-16': 23.95000076293945}, '1_month_later': {'2018-02-02': 24.45000076293945}, '3_months_later': {'2018-04-02': 22.89999961853028}, '6_months_later': {'2018-07-02': 26.79999923706055}, '12_months_later': {'2019-01-02': 19.729999542236328}}
|
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.
|
TSBK
|
{'date': '2018-01-02', 'ticker': 'TSBK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 26.39999961853028, 'high': 26.95000076293945, 'open': 26.690000534057614, 'close': 26.479999542236328, 'ema_50': 28.142789213123045, 'rsi_14': 44.047613641303045, 'target': 26.39999961853028, 'volume': 16600.0, 'ema_200': 26.16775870234472, 'adj_close': 24.98502349853516, 'rsi_lag_1': 45.14479113560665, 'rsi_lag_2': 46.491230711933085, 'rsi_lag_3': 48.33626394769789, 'rsi_lag_4': 46.2214375311327, 'rsi_lag_5': 49.06717785538442, 'macd_lag_1': -0.32737699365408446, 'macd_lag_2': -0.2506867498288763, 'macd_lag_3': -0.19701042836606675, 'macd_lag_4': -0.13581617430876491, 'macd_lag_5': -0.04249807329577493, 'macd_12_26_9': -0.38931517180904507, 'macds_12_26_9': -0.2379926783819393}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 26.39999961853028, '2018-01-04': 26.520000457763672, '2018-01-05': 26.479999542236328, '2018-01-08': 26.559999465942383, '2018-01-09': 26.979999542236328, '2018-01-10': 27.13999938964844, '2018-01-11': 27.31999969482422, '2018-01-12': 28.040000915527344, '2018-01-16': 27.40999984741211}, '1_month_later': {'2018-02-02': 27.84000015258789}, '3_months_later': {'2018-04-02': 29.1200008392334}, '6_months_later': {'2018-07-02': 37.5}, '12_months_later': {'2019-01-02': 23.440000534057614}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRXC
|
{'date': '2018-01-02', 'ticker': 'TRXC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 24.700000762939453, 'high': 26.90999984741211, 'open': 25.09000015258789, 'close': 26.90999984741211, 'ema_50': 28.12605186137378, 'rsi_14': 46.3235324261059, 'target': 26.64999961853028, 'volume': 238700.0, 'ema_200': 21.720477267208967, 'adj_close': 26.90999984741211, 'rsi_lag_1': 38.28125474616167, 'rsi_lag_2': 37.98450282474053, 'rsi_lag_3': 37.98449577136205, 'rsi_lag_4': 37.4045793832108, 'rsi_lag_5': 46.323526635397535, 'macd_lag_1': -1.5840328576245035, 'macd_lag_2': -1.5841598473643579, 'macd_lag_3': -1.5877523579749742, 'macd_lag_4': -1.5162976269751312, 'macd_lag_5': -1.4427491972344448, 'macd_12_26_9': -1.4206965469007606, 'macds_12_26_9': -1.4527716009740743}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 26.64999961853028, '2018-01-04': 28.07999992370605, '2018-01-05': 26.780000686645508, '2018-01-08': 26.38999938964844, '2018-01-09': 26.1299991607666, '2018-01-10': 26.1299991607666, '2018-01-11': 25.8700008392334, '2018-01-12': 25.8700008392334, '2018-01-16': 24.82999992370605}, '1_month_later': {'2018-02-02': 19.88999938964844}, '3_months_later': {'2018-04-02': 21.96999931335449}, '6_months_later': {'2018-07-02': 52.130001068115234}, '12_months_later': {'2019-01-02': 31.32999992370605}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRX
|
{'date': '2018-01-02', 'ticker': 'TRX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.270000010728836, 'high': 0.3400000035762787, 'open': 0.2800000011920929, 'close': 0.3400000035762787, 'ema_50': 0.28486729856774956, 'rsi_14': 69.56521908141724, 'target': 0.3799999952316284, 'volume': 452500.0, 'ema_200': 0.3816485523297011, 'adj_close': 0.3400000035762787, 'rsi_lag_1': 58.82353044298702, 'rsi_lag_2': 58.82353044298702, 'rsi_lag_3': 58.82353044298702, 'rsi_lag_4': 71.42857446962506, 'rsi_lag_5': 54.54546439746335, 'macd_lag_1': 0.0024053291109928376, 'macd_lag_2': 0.001963589593135029, 'macd_lag_3': 0.0013712080326237497, 'macd_lag_4': 0.0005951689058237841, 'macd_lag_5': -0.0034585417942077923, 'macd_12_26_9': 0.007510335144394864, 'macds_12_26_9': 0.0004284626968961957}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 0.3799999952316284, '2018-01-04': 0.4300000071525574, '2018-01-05': 0.3899999856948852, '2018-01-08': 0.4099999964237213, '2018-01-09': 0.4099999964237213, '2018-01-10': 0.3799999952316284, '2018-01-11': 0.4099999964237213, '2018-01-12': 0.4199999868869781, '2018-01-16': 0.3899999856948852}, '1_month_later': {'2018-02-02': 0.3600000143051147}, '3_months_later': {'2018-04-02': 0.3799999952316284}, '6_months_later': {'2018-07-02': 0.449999988079071}, '12_months_later': {'2019-01-02': 0.3600000143051147}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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TRVN
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{'date': '2018-01-02', 'ticker': 'TRVN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.5700000524520874, 'high': 1.8999999761581416, 'open': 1.6399999856948853, 'close': 1.7999999523162842, 'ema_50': 1.7179312591939178, 'rsi_14': 57.69230945575905, 'target': 2.009999990463257, 'volume': 1743500.0, 'ema_200': 2.769001097115519, 'adj_close': 1.7999999523162842, 'rsi_lag_1': 55.40540910620566, 'rsi_lag_2': 68.49316008029808, 'rsi_lag_3': 72.60274576590591, 'rsi_lag_4': 63.380278852387136, 'rsi_lag_5': 53.947373167960734, 'macd_lag_1': -0.000250772426591217, 'macd_lag_2': 0.00239523786920115, 'macd_lag_3': -0.004444151240710736, 'macd_lag_4': -0.016163599137182905, 'macd_lag_5': -0.022741310458940234, 'macd_12_26_9': 0.013633410637931664, 'macds_12_26_9': -0.010536317093437041}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 2.009999990463257, '2018-01-04': 2.009999990463257, '2018-01-05': 2.0199999809265137, '2018-01-08': 1.7599999904632568, '2018-01-09': 1.75, '2018-01-10': 1.7599999904632568, '2018-01-11': 1.7899999618530271, '2018-01-12': 1.75, '2018-01-16': 1.7200000286102295}, '1_month_later': {'2018-02-02': 1.559999942779541}, '3_months_later': {'2018-04-02': 1.5399999618530271}, '6_months_later': {'2018-07-02': 1.5}, '12_months_later': {'2019-01-02': 0.5460000038146973}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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TRVG
|
{'date': '2018-01-02', 'ticker': 'TRVG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 6.809999942779541, 'high': 7.130000114440918, 'open': 6.929999828338623, 'close': 7.010000228881836, 'ema_50': 7.900465481044134, 'rsi_14': 51.479295116399015, 'target': 7.309999942779541, 'volume': 904100.0, 'ema_200': 11.85581153698477, 'adj_close': 7.010000228881836, 'rsi_lag_1': 56.382983310451074, 'rsi_lag_2': 58.56353008959528, 'rsi_lag_3': 58.79120807143331, 'rsi_lag_4': 53.53534842690776, 'rsi_lag_5': 60.71428039244529, 'macd_lag_1': -0.1674086929332672, 'macd_lag_2': -0.17138513853145643, 'macd_lag_3': -0.18618582451870314, 'macd_lag_4': -0.19829600106984646, 'macd_lag_5': -0.20985047945704594, 'macd_12_26_9': -0.14882419308293748, 'macds_12_26_9': -0.21918659307144228}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 7.309999942779541, '2018-01-04': 7.559999942779541, '2018-01-05': 7.239999771118164, '2018-01-08': 7.289999961853027, '2018-01-09': 7.269999980926514, '2018-01-10': 7.230000019073486, '2018-01-11': 8.199999809265137, '2018-01-12': 8.09000015258789, '2018-01-16': 7.489999771118164}, '1_month_later': {'2018-02-02': 7.900000095367432}, '3_months_later': {'2018-04-02': 6.699999809265137}, '6_months_later': {'2018-07-02': 4.53000020980835}, '12_months_later': {'2019-01-02': 5.789999961853027}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRV
|
{'date': '2018-01-02', 'ticker': 'TRV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/movers/18/01/10974799/shares-of-insurance-companies-weak-tuesday-amid-earlier-s-p-global-ratings-rep', 'news_author': None, 'news_article': None, 'news_publisher': 'Hal Lindon', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Shares Of Insurance Companies Weak Tuesday Amid Earlier S&P Global Ratings Report On 'Mixed Bag' Of Affects From Tax Reform Law: TRV -2.74%, AIG -.5%, XL -3.5%, BRK.A -0.89%, RNR -3.48%, ACGL -2.7%", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.nasdaq.com/articles/tech-stocks-kick-new-year-bang-fang-leaders-advance-2018-01-02', 'news_author': None, 'news_article': 'Shutterstock photo\nThe major market averages kicked off the first trading session of 2018 on a high note, as they advanced solidly higher in early morning trade.\n[ibd-display-video id=3058793 width=50 float=left autostart=true] In early Tuesday trade, the tech-heavy Nasdaq led the way with a 1% surge, while the S&P 500 and the Dow Jones industrial average followed up with gains of 0.6% and 0.5%, respectively.\nAmong the Dow Jones industrial components, Walt Disney ( DIS ) rose 1.5% after the stock was upgraded from neutral to outperform at Macquarie Research. Shares remain below a 110.92 double-bottom entry.\nElsewhere in the Dow, Apple ( AAPL ) found much-needed support at its 50-day line early Tuesday. The stock rose 1%, but remains about 3% below a 176.34 flat-base entry.\nOn the downside, Travelers Companies ( TRV ) dipped 0.8%, but its decline stopped right at its 50-day line. The stock remains within buy range from a 130.47 cup-shaped base buy point.\nFANG stocks were all higher in the stock market today with Netflix ( NFLX ) setting the pace. The video streamer advanced 3.5% after being upgraded from neutral to outperform at Macquarie Research with a 220 price target. Meanwhile, analyst firm Loop Capital called Netflix their best idea of 2018 with a 241 price target - a 25% premium to Friday\'s closing price. Netflix\'s newest cinematic release "Bright" received 11 million views in the first three days after its release, according to Nielsen data.\nThe stock jumped back above its 50-day line - which it has been trading under since Nov. 29 - and is approaching a 204.48 flat-base buy point.\nMeanwhile, Facebook ( FB ) and Amazon.com (AMZN) moved up 1.1% and 1.2%, respectively. The social media giant has built a new flat base with a 184.35 buy point, while the e-commerce giant has etched its own flat base with a 1213.51 entry.\nAlphabet (GOOGL) moved up 1%. The stock is extended from a 1006.29 buy point after a recent test of the 50-day moving average line.\nInside the IBD 50 , Alibaba (BABA) rose 3%, as the Chinese e-commerce giant attempted to regain its 50-day line. The stock is building the right side of a potential base.\nElsewhere in the IBD 50, Nvidia (NVDA) looked to get back on track following Friday\'s 2% decline. The graphics-chip firm moved up 1.6%, as it once again approached its 50-day line where it found resistance last week.\nOn the downside, gym operator Planet Fitness (PLNT) was downgraded from buy to hold at Jefferies, sparking a retreat of about 4%. The stock is still well-extended from a 27.32 flat-base buy point.\nRELATED:\nDow Jones Industrial Average And Dow Stocks: News And Analysis\nThe FANG+ Stocks Are All At Key Technical Levels\n2018 Stock Market Outlook: What To Watch For In The New Year\nTesla\'s Big Test, Jobs Data, Pot\'s Contact High: Investing Action Plan\nFANG Stocks News & Quotes: Facebook, Amazon, Netflix, Google\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': 'On the downside, Travelers Companies ( TRV ) dipped 0.8%, but its decline stopped right at its 50-day line. [ibd-display-video id=3058793 width=50 float=left autostart=true] In early Tuesday trade, the tech-heavy Nasdaq led the way with a 1% surge, while the S&P 500 and the Dow Jones industrial average followed up with gains of 0.6% and 0.5%, respectively. Among the Dow Jones industrial components, Walt Disney ( DIS ) rose 1.5% after the stock was upgraded from neutral to outperform at Macquarie Research.', 'news_luhn_summary': 'On the downside, Travelers Companies ( TRV ) dipped 0.8%, but its decline stopped right at its 50-day line. [ibd-display-video id=3058793 width=50 float=left autostart=true] In early Tuesday trade, the tech-heavy Nasdaq led the way with a 1% surge, while the S&P 500 and the Dow Jones industrial average followed up with gains of 0.6% and 0.5%, respectively. The video streamer advanced 3.5% after being upgraded from neutral to outperform at Macquarie Research with a 220 price target.', 'news_article_title': 'Tech Stocks Kick Off New Year With A Bang; FANG Leaders Advance', 'news_lexrank_summary': 'On the downside, Travelers Companies ( TRV ) dipped 0.8%, but its decline stopped right at its 50-day line. The stock remains within buy range from a 130.47 cup-shaped base buy point. The stock jumped back above its 50-day line - which it has been trading under since Nov. 29 - and is approaching a 204.48 flat-base buy point.', 'news_textrank_summary': 'On the downside, Travelers Companies ( TRV ) dipped 0.8%, but its decline stopped right at its 50-day line. The stock jumped back above its 50-day line - which it has been trading under since Nov. 29 - and is approaching a 204.48 flat-base buy point. The stock is extended from a 1006.29 buy point after a recent test of the 50-day moving average line.'}, {'news_url': 'https://www.nasdaq.com/articles/investors-begin-accumulating-stocks-again-index-beats-nasdaq-2018-01-02', 'news_author': None, 'news_article': "SHUTTERSTOCK PHOTO\nIn the space of two trading sessions straddling two calendar years, investors went from taking profits to accumulating shares again.\n[ibd-display-video id=3059014 width=50 float=left autostart=true] On Friday, institutional investors decided to take profits en masse. The Nasdaq composite, down 0.7% in higher volume than the prior session, racked up its fourth distribution day, or session of unusually intense selling.\nBut on Tuesday, buyers returned in full force.\nThe Nasdaq led the major indexes with a 1.5% advance and volume surged nearly 15% higher, according to early figures. The S&P 500 rose 0.8%. Dull action by banks and a sharp slide by Travelers Cos. ( TRV ) helped lead to an underwhelming day for the Dow Jones industrials, up just 0.4%.\nNYSE volume rose sharply and was the highest since at least Dec. 19.\nTravelers fell nearly 3% and chopped through its 50-day moving average for the second time in nearly three weeks.\nSure, volume is still relatively quiet in comparison with the 50-day moving averages. Yet an increase in trading is still critical information.\nYou want to see stocks rise in higher volume, not lower. And when stocks fall, you prefer to see turnover contract, not expand.\nThe Dow transports did even better than the Nasdaq, up 1.9% vs. a 1.5% advance for the latter.\nSmall caps did better than large caps as the Russell 2000 marched ahead 0.9% and the S&P SmallCap 600 0.7%.\nWhile the Nasdaq still has a fairly high number of distribution days over the past 25 sessions, the Accumulation/Distribution rating actually improved on Tuesday to a B- vs. C+ on Friday. As seen in the General Market Indicators page, accessible through the PDF link at the bottom of this article, the S&P 500 has an even better Accumulation grade at B+. That's partially a reflection of its low distribution count, just one significant decline in higher turnover (Dec. 29) in recent weeks.\nWithin the stock market as a whole, Tuesday's biggest advancers were hardly the domain of techland. At one point, at least 35 of IBD's 197 industry groups rose 2% or more.\nOnly three groups fell 2% or more, and two came from the defensive food sector. Breadth was solid on the Nasdaq, as winners led losers by a 2-1 ratio. The ratio on the NYSE was slightly less than the Nasdaq's.\nChinese internet and consumer issues rallied fiercely following a 2% rise overnight in the Hang Seng benchmark of Hong Kong. Steel, oil and gas exploration, and some medical names also led nicely. Natural gas futures rose sharply amid a severe winter freeze across much of the U.S. and prices jumped back above $3 per million BTU.\nAutohome ( ATHM ) became the latest new Chinese consumer play to join Leaderboard as shares raced past a 67.79 buy point in a relatively shallow new base and gained nearly 11%. Volume came in triple usual levels to 2.3 million shares.\nThe Innovator IBD 50 ( FFTY ) ETF rallied 1.9% on Tuesday, following a gain of 37% in 2017.\nWas today a reflection of U.S. stocks feeding on the positive vibes coming from the Chinese equity markets, with the Hang Seng racing to multiyear highs? No one can know for sure. But a global rise in equities and indications that North Korea may be willing to talk with its southern neighbor likely helped fund managers keep confident about equities in general.\nStocks went up even as the yield on the U.S. Treasury benchmark 10-year bond rose sharply to 2.47%, ready to take out last month's near-term high of 2.49%. The Dow utilities sank 1.1%.\nThis week is a busy one for fresh economic news . Wednesday sees the December reading on U.S. manufacturing via the ISM survey. According to Econoday, the consensus estimate is 58.0, down slightly from 58.2 in November yet still bullish. A reading above 50.0 denotes expanding factory activity.\nThe ADP private sector jobs report comes out Thursday (current estimate: a 188,000 gain in payrolls), while the ISM non-manufacturing survey arrives on Friday (December estimate of 57.6, up slightly from 57.4 in the prior month).\nLater in the month, keep a close eye on the earnings calendar. Quarterly results will heat up the financial markets starting in the Week of Jan. 22.\nYou can track the upcoming earnings estimates among top growth companies by going to the Stock Research section at Investors.com, then Earnings Calendar .\n( You can trade the IBD 50 with one click with the IBD 50 ( FFTY ) exchange-traded fund by Innovator Capital Management . Also, follow Saito-Chung on Twitter at @IBD_DChung for additional commentary on leading stocks and stock market analysis .)\nView the General Market Indicators chart page here .\nRELATED:\nWhy This FANG Stock Entered A Buy Area But Not These 5 Tech Giants: S&P 500 Futures\nWhy You Should Watch Nvidia, Intel, Other Chip Stocks\nStocks Near A Buy Zone\nHot Large Cap Stocks Today: Inside Big Cap 20\nThe Latest In FANG Stock News\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': 'Dull action by banks and a sharp slide by Travelers Cos. ( TRV ) helped lead to an underwhelming day for the Dow Jones industrials, up just 0.4%. Natural gas futures rose sharply amid a severe winter freeze across much of the U.S. and prices jumped back above $3 per million BTU. Autohome ( ATHM ) became the latest new Chinese consumer play to join Leaderboard as shares raced past a 67.79 buy point in a relatively shallow new base and gained nearly 11%.', 'news_luhn_summary': 'Dull action by banks and a sharp slide by Travelers Cos. ( TRV ) helped lead to an underwhelming day for the Dow Jones industrials, up just 0.4%. Autohome ( ATHM ) became the latest new Chinese consumer play to join Leaderboard as shares raced past a 67.79 buy point in a relatively shallow new base and gained nearly 11%. Was today a reflection of U.S. stocks feeding on the positive vibes coming from the Chinese equity markets, with the Hang Seng racing to multiyear highs?', 'news_article_title': 'Investors Begin Accumulating Stocks Again; This Index Beats The Nasdaq', 'news_lexrank_summary': "Dull action by banks and a sharp slide by Travelers Cos. ( TRV ) helped lead to an underwhelming day for the Dow Jones industrials, up just 0.4%. You want to see stocks rise in higher volume, not lower. At one point, at least 35 of IBD's 197 industry groups rose 2% or more.", 'news_textrank_summary': 'Dull action by banks and a sharp slide by Travelers Cos. ( TRV ) helped lead to an underwhelming day for the Dow Jones industrials, up just 0.4%. The Nasdaq composite, down 0.7% in higher volume than the prior session, racked up its fourth distribution day, or session of unusually intense selling. The ADP private sector jobs report comes out Thursday (current estimate: a 188,000 gain in payrolls), while the ISM non-manufacturing survey arrives on Friday (December estimate of 57.6, up slightly from 57.4 in the prior month).'}, {'news_url': 'https://www.nasdaq.com/articles/stocks-start-2018-strong-last-minute-record-highs-2018-01-02', 'news_author': None, 'news_article': 'Shutterstock photo\nThe first trading day of 2018 started on a strong note, with the Dow up nearly 145 points out of the gate this morning. The blue-chip index peaked early in the session, though, despite upbeat manufacturing data and an extended slide for the U.S. dollar. While the Dow finished just off its intraday high, New Year\'s week is firmly on pace to extend its bullish track record -- and the S&P 500 and Nasdaq both wrapped up the day with a final buying burst that carried them to new record intraday and closing highs.\nContinue reading for more on today\'s market, including:\nWhy one analyst declared "Netflix has won."\nDon\'t miss the buy signal on this biotech stock.\nJohnson & Johnson sat out the Dow rally after this bear note .\nPlus, Peter Thiel\'s big cryptocurrency play; LULU\'s surprising post-downgrade price action; and Nomura\'s top restaurant pick for the new year.\nThe Dow Jones Industrial Average (DJIA - 24,824.01) finished up 104.8 points, or 0.4%. The 21 blue-chip winners were led by a nearly 4% gain from Walt Disney ( DIS ), while Travelers ( TRV ) led the nine losers with a 2.7% loss.\nThe S&P 500 Index (SPX - 2,695.79) finished 22.2 points, or 0.8%, higher, and touched an all-time high of 2,695.89 just before the closing bell sounded. Meanwhile, the Nasdaq Composite (IXIC - 7,006.90) picked up an impressive 103.51 points, or 1.5%, to settle just about a hundredth of a point away from its newly set intraday peak of 7,006.91.\nThe CBOE Volatility Index (VIX - 9.77) fell 1.27 points, or 11.5%, for the day. This marked the VIX\'s lowest close since Dec. 21.\n5 Items on Our Radar Today\nBitcoin is on the rise once again after early Facebook investor and PayPal co-founder Peter Thiel\'s venture capital fund reportedly bought "millions of dollars" of the cryptocurrency. Following the reports, bitcoin prices shot up above $15,000. ( CNBC )\nNew York City is installing more than 1,500 barriers along plazas and pedestrian sidewalks after the crowded city experienced at least two fatal instances of vehicles striking civilians after mounting the curb. The barriers will be waist-high cylindrical bollards, with the intent to be slightly more appealing than the usual concrete boulders. ( Reuters )\nThe retail stock to own for January.\nLululemon hit a 16-month high , despite an analyst downgrade.\nNomura tapped a familiar name as its top restaurant stock pick for 2018.\nCrude futures settled slightly lower today, due to increased tensions surrounding Iran\'s output as anti-government protests rattled the capital city of Tehran. The February contract finished down $0.05, or 0.08%, at $60.37 per barrel.\nData courtesy of Trade-Alert\nCrude Slips; Gold Extends Win Streak\nFebruary-dated gold finished higher for the eighth session in a row today -- and notched its highest close since September -- as the dollar remained persistently weak against its key foreign rivals. Gold futures settled up $6.80, or 0.5%, at $1,316.10 per ounce.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'The 21 blue-chip winners were led by a nearly 4% gain from Walt Disney ( DIS ), while Travelers ( TRV ) led the nine losers with a 2.7% loss. Plus, Peter Thiel\'s big cryptocurrency play; LULU\'s surprising post-downgrade price action; and Nomura\'s top restaurant pick for the new year. 5 Items on Our Radar Today Bitcoin is on the rise once again after early Facebook investor and PayPal co-founder Peter Thiel\'s venture capital fund reportedly bought "millions of dollars" of the cryptocurrency.', 'news_luhn_summary': "The 21 blue-chip winners were led by a nearly 4% gain from Walt Disney ( DIS ), while Travelers ( TRV ) led the nine losers with a 2.7% loss. Nomura tapped a familiar name as its top restaurant stock pick for 2018. Crude futures settled slightly lower today, due to increased tensions surrounding Iran's output as anti-government protests rattled the capital city of Tehran.", 'news_article_title': 'Stocks Start 2018 Strong with Last-Minute Record Highs', 'news_lexrank_summary': "The 21 blue-chip winners were led by a nearly 4% gain from Walt Disney ( DIS ), while Travelers ( TRV ) led the nine losers with a 2.7% loss. Shutterstock photo The first trading day of 2018 started on a strong note, with the Dow up nearly 145 points out of the gate this morning. While the Dow finished just off its intraday high, New Year's week is firmly on pace to extend its bullish track record -- and the S&P 500 and Nasdaq both wrapped up the day with a final buying burst that carried them to new record intraday and closing highs.", 'news_textrank_summary': "The 21 blue-chip winners were led by a nearly 4% gain from Walt Disney ( DIS ), while Travelers ( TRV ) led the nine losers with a 2.7% loss. While the Dow finished just off its intraday high, New Year's week is firmly on pace to extend its bullish track record -- and the S&P 500 and Nasdaq both wrapped up the day with a final buying burst that carried them to new record intraday and closing highs. Meanwhile, the Nasdaq Composite (IXIC - 7,006.90) picked up an impressive 103.51 points, or 1.5%, to settle just about a hundredth of a point away from its newly set intraday peak of 7,006.91."}, {'news_url': 'https://seekingalpha.com/article/4134917-monthly-review-divgro-december-2017?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Monthly Review Of DivGro: December 2017', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 131.46000671386722, 'high': 136.30000305175778, 'open': 136.30000305175778, 'close': 131.97999572753906, 'ema_50': 132.68704057094146, 'rsi_14': 45.09963209061998, 'target': 132.39999389648438, 'volume': 2388800.0, 'ema_200': 127.00743260220635, 'adj_close': 124.3856430053711, 'rsi_lag_1': 60.53513014219458, 'rsi_lag_2': 57.704562886233425, 'rsi_lag_3': 46.9493413619637, 'rsi_lag_4': 47.21644554489692, 'rsi_lag_5': 40.48306344132929, 'macd_lag_1': 0.6912330055927214, 'macd_lag_2': 0.666675985479543, 'macd_lag_3': 0.6235983940956658, 'macd_lag_4': 0.6501633204885309, 'macd_lag_5': 0.6735952829996279, 'macd_12_26_9': 0.4106294328568083, 'macds_12_26_9': 0.6448065268024038}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 132.39999389648438, '2018-01-04': 132.39999389648438, '2018-01-05': 132.16000366210938, '2018-01-08': 131.44999694824222, '2018-01-09': 132.47000122070312, '2018-01-10': 132.11000061035156, '2018-01-11': 132.33999633789062, '2018-01-12': 134.72999572753906, '2018-01-16': 135.52000427246094}, '1_month_later': {'2018-02-02': 147.9499969482422}, '3_months_later': {'2018-04-02': 134.83999633789062}, '6_months_later': {'2018-07-02': 122.38999938964844}, '12_months_later': {'2019-01-02': 117.37000274658205}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRUP
|
{'date': '2018-01-02', 'ticker': 'TRUP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 28.61000061035156, 'high': 29.739999771118164, 'open': 29.32999992370605, 'close': 28.940000534057617, 'ema_50': 29.423425098906385, 'rsi_14': 44.78064928297014, 'target': 29.6299991607666, 'volume': 215800.0, 'ema_200': 24.298117259925913, 'adj_close': 28.940000534057617, 'rsi_lag_1': 46.25000670551695, 'rsi_lag_2': 48.36600859053944, 'rsi_lag_3': 53.34369964665149, 'rsi_lag_4': 60.20113733742686, 'rsi_lag_5': 59.562028714891255, 'macd_lag_1': 0.06048394564619031, 'macd_lag_2': 0.16491993854836196, 'macd_lag_3': 0.24694672608236345, 'macd_lag_4': 0.33175988896442377, 'macd_lag_5': 0.41176859235761043, 'macd_12_26_9': -0.048353181688426616, 'macds_12_26_9': 0.23015598497107523}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 29.6299991607666, '2018-01-04': 31.190000534057617, '2018-01-05': 32.13999938964844, '2018-01-08': 32.209999084472656, '2018-01-09': 31.90999984741211, '2018-01-10': 32.15999984741211, '2018-01-11': 35.040000915527344, '2018-01-12': 34.380001068115234, '2018-01-16': 33.93000030517578}, '1_month_later': {'2018-02-02': 33.810001373291016}, '3_months_later': {'2018-04-02': 28.6200008392334}, '6_months_later': {'2018-07-02': 38.40999984741211}, '12_months_later': {'2019-01-02': 25.530000686645508}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TSCO
|
{'date': '2018-01-02', 'ticker': 'TSCO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/tractor-supply-tsco-up-19-in-3-months%3A-more-room-to-run-2018-01-02', 'news_author': None, 'news_article': 'Tractor Supply CompanyTSCO has been gaining from its store growth initiatives, omni-channel strategies, solid earnings and sales growth trend, and effective inventory management. Further, the recent Petsense acquisition is likely to bolster the company\'s presence in the pet specialty space, which is a growing market.\nThese factors helped the stock gain 18.9% in the last three months, surpassing the industry \'s 4% growth. Also, the company has a Zacks Rank #2 (Buy) and a long-term earnings growth rate of 14%.\nSturdy Store Growth Initiatives\nTractor Supply is on track with its growth initiatives including expansion of store base and incorporation of technological advancements to induce traffic and drive sales. Additionally, the company leverages an extensive network of stores to penetrate into target markets, which in turn enables it to generate healthy sales and gain market share. Evidently, the company is planning to achieve its long-term domestic store growth target of 2,500 stores.\nOmni-Channel Capabilities to Drive Sales\nTractor Supply is keen on synchronizing its physical and digital operations to provide a seamless shopping experience to its customers. This is clear from progress on its One Tractor initiative, which focuses on connecting stores and online shopping. Of late, the company also initiated Buy Online Pick Up in Store program that has been successful in contributing nearly 75% to online sales in the third quarter. Meanwhile, Tractor Supply continues to expand its Neighbor\'s Club customer rewards program. Both these initiatives are expected to boost the top line. The company expects long-term results to benefit from its mobile POS and stockyard initiatives as well.\nInventory Management - A Key Tool\nTractor Supply has been stringently focusing on managing inventories to minimize effect of weather on its results and capitalize on seasonal demand. In fact, the key focus here has been enhancement of IT systems and supply chain. Additionally, it has been investing in various new systems including demand planning, improved pricing, inventory allocation, all of which are directed toward generating supply chain efficiencies in order to better manage global inventories.\nFurthermore, the company remains focused on the execution of its digital priorities lending support needed to bolster growth at merchandising, customer facing and logistics capabilities. In this regard, Tractor Supply expects to complete the construction of its planned New York distribution center by the third quarter of 2018.\nPetsense Acquisition a Boon to Pet Business\nTractor Supply is progressing well with the integration of the recently acquired Petsense LLC, which has opened its doors to the roughly $60 billion pet market. Notably, this acquisition complements its existing pet business operating under the HomeTown Pet Stores banner. As part of the integration, the company successfully converted its two HomeTown Pet stores to Petsense in the first quarter.\nIn addition, the company is on schedule to launch a premium dog and cat food brand - True Source - in its Petsense stores. Tractor Supply also intends to launch an e-commerce site for Petsense toward the end of the fourth quarter with the Buy Online Pick Up in Store facility expected in spring 2018.\nCompelling Earnings & Sales Growth Trend, Strong Outlook\nTractor Supply has a notable record of delivering earnings and sales growth for more than two years now. Following a miss in the second quarter, the company\'s top- and bottom-line surpassed the Zacks Consensus Estimate in third-quarter 2017 backed by solid comparable store sales (comps) growth and effective inventory management. Comps were driven by strength across all regions and major product categories. Further, the top line was fueled by sales of emergency response products.\nFor the fourth quarter, the company remains well-positioned to drive growth owing to increased demand for cold weather products. Backed by these trends, management raised its earnings and sales outlook for 2017.\nBottom Line\nDespite the above-mentioned tailwinds, deflation remains a concern for Tractor Supply, which is likely to linger in 2017. Furthermore, management expects SG&A expenses deleverage in the fourth quarter. The headwinds related to unfavorable product mix and elevated transport costs are also likely to dent gross margin this year.\nNevertheless, the company is poised for long-term growth driven by its inherent strength and growth initiatives.\nDo Retail-Wholesale Stocks Grab Your Attention? Check These\nInvestors interested in the sector may consider Beacon Roofing Supply Inc. BECN , Fastenal Company FAST and Canada Goose Holdings Inc. GOOS . While Beacon Roofing sports a Zacks Rank #1 (Strong Buy), Fastenal and Canada Goose carry a Zacks Rank #2. You can see the complete list of today\'s Zacks #1 Rank stocks here .\nBeacon Roofing delivered an average positive earnings surprise of 6.4% in the trailing four quarters. It has a long-term earnings growth rate of 25%.\nFastenal pulled off an average positive earnings surprise of 2.3% in the trailing four quarters. It has a long-term earnings growth rate of 14%.\nCanada Goose came up with an average positive earnings surprise of 32.4% in the trailing four quarters. It has a long-term earnings growth rate of 35.8%.\nZacks Editor-in-Chief Goes ""All In"" on This Stock\null 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\nFastenal Company (FAST): Free Stock Analysis Report\nBeacon Roofing Supply, Inc. (BECN): Free Stock Analysis Report\nCanada Goose Holdings Inc. (GOOS): Free Stock Analysis Report\nTractor Supply Company (TSCO): 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': 'Tractor Supply CompanyTSCO has been gaining from its store growth initiatives, omni-channel strategies, solid earnings and sales growth trend, and effective inventory management. Click to get this free report Fastenal Company (FAST): Free Stock Analysis Report Beacon Roofing Supply, Inc. (BECN): Free Stock Analysis Report Canada Goose Holdings Inc. (GOOS): Free Stock Analysis Report Tractor Supply Company (TSCO): Free Stock Analysis Report To read this article on Zacks.com click here. Furthermore, the company remains focused on the execution of its digital priorities lending support needed to bolster growth at merchandising, customer facing and logistics capabilities.', 'news_luhn_summary': 'Tractor Supply CompanyTSCO has been gaining from its store growth initiatives, omni-channel strategies, solid earnings and sales growth trend, and effective inventory management. Click to get this free report Fastenal Company (FAST): Free Stock Analysis Report Beacon Roofing Supply, Inc. (BECN): Free Stock Analysis Report Canada Goose Holdings Inc. (GOOS): Free Stock Analysis Report Tractor Supply Company (TSCO): Free Stock Analysis Report To read this article on Zacks.com click here. Check These Investors interested in the sector may consider Beacon Roofing Supply Inc. BECN , Fastenal Company FAST and Canada Goose Holdings Inc. GOOS .', 'news_article_title': 'Tractor Supply (TSCO) Up 19% in 3 Months: More Room to Run?', 'news_lexrank_summary': 'Tractor Supply CompanyTSCO has been gaining from its store growth initiatives, omni-channel strategies, solid earnings and sales growth trend, and effective inventory management. Click to get this free report Fastenal Company (FAST): Free Stock Analysis Report Beacon Roofing Supply, Inc. (BECN): Free Stock Analysis Report Canada Goose Holdings Inc. (GOOS): Free Stock Analysis Report Tractor Supply Company (TSCO): Free Stock Analysis Report To read this article on Zacks.com click here. Also, the company has a Zacks Rank #2 (Buy) and a long-term earnings growth rate of 14%.', 'news_textrank_summary': 'Tractor Supply CompanyTSCO has been gaining from its store growth initiatives, omni-channel strategies, solid earnings and sales growth trend, and effective inventory management. Click to get this free report Fastenal Company (FAST): Free Stock Analysis Report Beacon Roofing Supply, Inc. (BECN): Free Stock Analysis Report Canada Goose Holdings Inc. (GOOS): Free Stock Analysis Report Tractor Supply Company (TSCO): Free Stock Analysis Report To read this article on Zacks.com click here. Compelling Earnings & Sales Growth Trend, Strong Outlook Tractor Supply has a notable record of delivering earnings and sales growth for more than two years now.'}, {'news_url': 'http://www.zacks.com/stock/news/287516/tractor-supply-tsco-up-19-in-3-months-more-room-to-run?cid=CS-BENZ-FT-287516', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Tractor Supply (TSCO) Up 19% in 3 Months: More Room to Run?', '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': 75.01000213623047, 'high': 76.7300033569336, 'open': 75.3499984741211, 'close': 75.68000030517578, 'ema_50': 67.21937500860385, 'rsi_14': 84.64658772431079, 'target': 76.25, 'volume': 1590000.0, 'ema_200': 64.07619118670685, 'adj_close': 73.02173614501953, 'rsi_lag_1': 79.81491843167049, 'rsi_lag_2': 83.75192156942592, 'rsi_lag_3': 80.10707998076016, 'rsi_lag_4': 72.75887188872854, 'rsi_lag_5': 72.09966322067896, 'macd_lag_1': 2.7918060563694667, 'macd_lag_2': 2.799137859522702, 'macd_lag_3': 2.734180987519622, 'macd_lag_4': 2.6318665953402416, 'macd_lag_5': 2.420230303013568, 'macd_12_26_9': 2.8284343710484166, 'macds_12_26_9': 2.4899196419818574}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 76.25, '2018-01-04': 77.62000274658203, '2018-01-05': 79.44000244140625, '2018-01-08': 79.25, '2018-01-09': 79.48999786376953, '2018-01-10': 78.52999877929688, '2018-01-11': 78.48999786376953, '2018-01-12': 79.61000061035156, '2018-01-16': 79.18000030517578}, '1_month_later': {'2018-02-02': 67.87999725341797}, '3_months_later': {'2018-04-02': 60.38999938964844}, '6_months_later': {'2018-07-02': 75.73999786376953}, '12_months_later': {'2019-01-02': 82.2300033569336}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRUE
|
{'date': '2018-01-02', 'ticker': 'TRUE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 11.19499969482422, 'high': 11.489999771118164, 'open': 11.289999961853027, 'close': 11.380000114440918, 'ema_50': 12.399824064289026, 'rsi_14': 57.746473197735526, 'target': 11.390000343322756, 'volume': 962200.0, 'ema_200': 14.440934544963909, 'adj_close': 11.380000114440918, 'rsi_lag_1': 39.923959887662264, 'rsi_lag_2': 33.33334625574436, 'rsi_lag_3': 43.835606148194465, 'rsi_lag_4': 46.59498955230976, 'rsi_lag_5': 45.936388257880196, 'macd_lag_1': -0.3477043217349749, 'macd_lag_2': -0.3728286762097106, 'macd_lag_3': -0.37605539087580375, 'macd_lag_4': -0.3726675453009438, 'macd_lag_5': -0.3781955890963946, 'macd_12_26_9': -0.30969855731214224, 'macds_12_26_9': -0.39166971000009176}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 11.390000343322756, '2018-01-04': 11.600000381469728, '2018-01-05': 11.720000267028809, '2018-01-08': 11.520000457763672, '2018-01-09': 11.68000030517578, '2018-01-10': 11.649999618530272, '2018-01-11': 12.18000030517578, '2018-01-12': 11.739999771118164, '2018-01-16': 11.8100004196167}, '1_month_later': {'2018-02-02': 11.25}, '3_months_later': {'2018-04-02': 9.239999771118164}, '6_months_later': {'2018-07-02': 10.420000076293944}, '12_months_later': {'2019-01-02': 9.220000267028809}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRTX
|
{'date': '2018-01-02', 'ticker': 'TRTX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 19.030000686645508, 'high': 19.290000915527344, 'open': 19.15999984741211, 'close': 19.049999237060547, 'ema_50': 19.484234697056163, 'rsi_14': 35.45447767275796, 'target': 18.790000915527344, 'volume': 50300.0, 'ema_200': 21.46461218536922, 'adj_close': 19.049999237060547, 'rsi_lag_1': 33.050787185206644, 'rsi_lag_2': 39.215631276015664, 'rsi_lag_3': 54.255312673107206, 'rsi_lag_4': 50.49506072354593, 'rsi_lag_5': 59.82912113619296, 'macd_lag_1': -0.03934117660398684, 'macd_lag_2': -0.012294062079178047, 'macd_lag_3': 0.005097615412800849, 'macd_lag_4': 0.007876064083415457, 'macd_lag_5': 0.010289608877457113, 'macd_12_26_9': -0.060083603350161496, 'macds_12_26_9': -0.0200369740168086}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 18.790000915527344, '2018-01-04': 18.809999465942383, '2018-01-05': 18.799999237060547, '2018-01-08': 18.979999542236328, '2018-01-09': 18.959999084472656, '2018-01-10': 19.030000686645508, '2018-01-11': 19.030000686645508, '2018-01-12': 18.8700008392334, '2018-01-16': 18.799999237060547}, '1_month_later': {'2018-02-02': 18.770000457763672}, '3_months_later': {'2018-04-02': 19.75}, '6_months_later': {'2018-07-02': 20.31999969482422}, '12_months_later': {'2019-01-02': 18.36000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRTN
|
{'date': '2018-01-02', 'ticker': 'TRTN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.68999862670898, 'high': 39.2599983215332, 'open': 37.88000106811523, 'close': 39.09000015258789, 'ema_50': 38.22359202524731, 'rsi_14': 65.55076452561593, 'target': 38.310001373291016, 'volume': 393100.0, 'ema_200': 33.54156441684898, 'adj_close': 33.41437530517578, 'rsi_lag_1': 54.55666118108117, 'rsi_lag_2': 52.99043040368255, 'rsi_lag_3': 57.51351021431588, 'rsi_lag_4': 52.47225875888765, 'rsi_lag_5': 56.00836762043403, 'macd_lag_1': -0.16768020905255554, 'macd_lag_2': -0.10093971267647106, 'macd_lag_3': -0.09370441355500958, 'macd_lag_4': -0.052561190705759486, 'macd_lag_5': 0.012935122296724444, 'macd_12_26_9': -0.08723272402991711, 'macds_12_26_9': -0.12339657749469135}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 38.310001373291016, '2018-01-04': 38.810001373291016, '2018-01-05': 39.0, '2018-01-08': 39.58000183105469, '2018-01-09': 39.72000122070313, '2018-01-10': 39.7400016784668, '2018-01-11': 41.31999969482422, '2018-01-12': 41.84999847412109, '2018-01-16': 39.97000122070313}, '1_month_later': {'2018-02-02': 32.59999847412109}, '3_months_later': {'2018-04-02': 29.229999542236328}, '6_months_later': {'2018-07-02': 30.459999084472656}, '12_months_later': {'2019-01-02': 32.11999893188477}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRT
|
{'date': '2018-01-02', 'ticker': 'TRT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320719-technology-top-gainers-losers-2-55-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': 'Technology - Top Gainers / Losers as of 2:55 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': 6.320000171661377, 'high': 6.949999809265137, 'open': 6.829999923706055, 'close': 6.460000038146973, 'ema_50': 6.675199358482211, 'rsi_14': 41.269849279194275, 'target': 6.550000190734863, 'volume': 61900.0, 'ema_200': 5.380584449838135, 'adj_close': 6.460000038146973, 'rsi_lag_1': 53.4246682717996, 'rsi_lag_2': 39.75155904959578, 'rsi_lag_3': 52.406407976183644, 'rsi_lag_4': 36.02940892884503, 'rsi_lag_5': 31.70731302084492, 'macd_lag_1': -0.012779280350406985, 'macd_lag_2': -0.01741824896106703, 'macd_lag_3': -0.008831323046377015, 'macd_lag_4': -0.0058882742301138435, 'macd_lag_5': -0.009173516321348885, 'macd_12_26_9': -0.05287378704910495, 'macds_12_26_9': 0.014723674362492344}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 6.550000190734863, '2018-01-04': 6.360000133514404, '2018-01-05': 6.320000171661377, '2018-01-08': 6.139999866485596, '2018-01-09': 6.0, '2018-01-10': 5.730000019073486, '2018-01-11': 5.769999980926514, '2018-01-12': 5.739999771118164, '2018-01-16': 6.050000190734863}, '1_month_later': {'2018-02-02': 6.329999923706055}, '3_months_later': {'2018-04-02': 5.679999828338623}, '6_months_later': {'2018-07-02': 4.5}, '12_months_later': {'2019-01-02': 2.569999933242798}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRST
|
{'date': '2018-01-02', 'ticker': 'TRST', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.899999618530273, 'high': 9.300000190734863, 'open': 9.199999809265137, 'close': 8.899999618530273, 'ema_50': 9.067453911890166, 'rsi_14': 46.66665818957241, 'target': 9.050000190734863, 'volume': 522500.0, 'ema_200': 8.470376906660096, 'adj_close': 8.16932201385498, 'rsi_lag_1': 55.99997558597475, 'rsi_lag_2': 53.84612563098285, 'rsi_lag_3': 51.851857084627554, 'rsi_lag_4': 44.44442874611724, 'rsi_lag_5': 38.709673449849625, 'macd_lag_1': 0.021666701285909085, 'macd_lag_2': 0.022634056392668356, 'macd_lag_3': 0.023539530635954264, 'macd_lag_4': 0.019261923349674248, 'macd_lag_5': 0.02370382455065645, 'macd_12_26_9': -0.003269751135970722, 'macds_12_26_9': 0.018904767207657235}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 9.050000190734863, '2018-01-04': 8.75, '2018-01-05': 8.850000381469727, '2018-01-08': 8.800000190734863, '2018-01-09': 8.850000381469727, '2018-01-10': 8.949999809265137, '2018-01-11': 9.100000381469728, '2018-01-12': 9.149999618530272, '2018-01-16': 9.050000190734863}, '1_month_later': {'2018-02-02': 8.649999618530272}, '3_months_later': {'2018-04-02': 8.399999618530272}, '6_months_later': {'2018-07-02': 9.100000381469728}, '12_months_later': {'2019-01-02': 6.960000038146973}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRS
|
{'date': '2018-01-02', 'ticker': 'TRS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 26.64999961853028, 'high': 27.20000076293945, 'open': 26.85000038146973, 'close': 27.0, 'ema_50': 26.350596298346247, 'rsi_14': 62.12121737562321, 'target': 26.79999923706055, 'volume': 111600.0, 'ema_200': 24.457663143692063, 'adj_close': 27.0, 'rsi_lag_1': 58.064530022334324, 'rsi_lag_2': 59.01639446780506, 'rsi_lag_3': 67.18753259634036, 'rsi_lag_4': 67.69233297318581, 'rsi_lag_5': 62.500037252960524, 'macd_lag_1': 0.2288457282333738, 'macd_lag_2': 0.24554285407199927, 'macd_lag_3': 0.24801023746916329, 'macd_lag_4': 0.22718838023362053, 'macd_lag_5': 0.2023985861712454, 'macd_12_26_9': 0.2330990259013035, 'macds_12_26_9': 0.19457937885165116}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 26.79999923706055, '2018-01-04': 27.25, '2018-01-05': 26.95000076293945, '2018-01-08': 26.64999961853028, '2018-01-09': 26.75, '2018-01-10': 27.29999923706055, '2018-01-11': 27.70000076293945, '2018-01-12': 27.70000076293945, '2018-01-16': 27.39999961853028}, '1_month_later': {'2018-02-02': 26.04999923706055}, '3_months_later': {'2018-04-02': 25.25}, '6_months_later': {'2018-07-02': 29.64999961853028}, '12_months_later': {'2019-01-02': 26.670000076293945}}
|
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.
|
TRQ
|
{'date': '2018-01-02', 'ticker': 'TRQ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 3.440000057220459, 'high': 3.559999942779541, 'open': 3.4600000381469727, 'close': 3.559999942779541, 'ema_50': 3.1693635049493554, 'rsi_14': 82.05129302386987, 'target': 3.549999952316284, 'volume': 3942900.0, 'ema_200': 3.0897080217507273, 'adj_close': 3.559999942779541, 'rsi_lag_1': 80.0000136239224, 'rsi_lag_2': 82.60870767075696, 'rsi_lag_3': 82.8571545347907, 'rsi_lag_4': 87.87879663612972, 'rsi_lag_5': 77.9661105988027, 'macd_lag_1': 0.09787177705930183, 'macd_lag_2': 0.09203824041795405, 'macd_lag_3': 0.0812174266407637, 'macd_lag_4': 0.07233387411520154, 'macd_lag_5': 0.053834016548801156, 'macd_12_26_9': 0.11169722434351481, 'macds_12_26_9': 0.06845222258397}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 3.549999952316284, '2018-01-04': 3.549999952316284, '2018-01-05': 3.509999990463257, '2018-01-08': 3.4600000381469727, '2018-01-09': 3.400000095367432, '2018-01-10': 3.4500000476837163, '2018-01-11': 3.509999990463257, '2018-01-12': 3.5699999332427983, '2018-01-16': 3.470000028610229}, '1_month_later': {'2018-02-02': 2.940000057220459}, '3_months_later': {'2018-04-02': 2.990000009536743}, '6_months_later': {'2018-07-02': 2.759999990463257}, '12_months_later': {'2019-01-02': 1.6399999856948853}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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TRPX
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{'date': '2018-01-02', 'ticker': 'TRPX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.340000152587892, 'high': 5.65500020980835, 'open': 5.360000133514403, 'close': 5.519999980926514, 'ema_50': 5.380325834800172, 'rsi_14': 47.38510280151362, 'target': 5.590000152587892, 'volume': 20200.0, 'ema_200': 6.228169065523023, 'adj_close': 5.519999980926514, 'rsi_lag_1': 49.811040170205345, 'rsi_lag_2': 57.342664079074225, 'rsi_lag_3': 63.550661990939716, 'rsi_lag_4': 56.745716506424536, 'rsi_lag_5': 51.03906319520182, 'macd_lag_1': 0.061878005677583836, 'macd_lag_2': 0.07574442415515481, 'macd_lag_3': 0.0689230956276976, 'macd_lag_4': 0.04190503206246721, 'macd_lag_5': 0.030228765673272484, 'macd_12_26_9': 0.0646678008041901, 'macds_12_26_9': 0.05436579614490533}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 5.590000152587892, '2018-01-04': 5.4099998474121085, '2018-01-05': 5.589000225067139, '2018-01-08': 6.7940001487731925, '2018-01-09': 6.570000171661378, '2018-01-10': 5.960000038146973, '2018-01-11': 6.114999771118164, '2018-01-12': 5.9000000953674325, '2018-01-16': 6.070000171661378}, '1_month_later': {'2018-02-02': 5.9000000953674325}, '3_months_later': {'2018-04-02': 5.619999885559082}, '6_months_later': {'2018-07-02': 4.0}, '12_months_later': {'2019-01-02': 3.5299999713897705}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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TRP
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{'date': '2018-01-02', 'ticker': 'TRP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320791-ferc-approves-major-transcanada-gas-pipeline-expansions?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'FERC approves major TransCanada gas pipeline expansions', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134478-crude-spreads-matter-mlps?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'What Are Crude Spreads And Why Do They Matter To MLPs?', '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': 48.630001068115234, 'high': 49.43000030517578, 'open': 48.77000045776367, 'close': 49.33000183105469, 'ema_50': 48.8329936072376, 'rsi_14': 57.09878977899544, 'target': 49.36000061035156, 'volume': 775900.0, 'ema_200': 48.38533010012153, 'adj_close': 41.78166580200195, 'rsi_lag_1': 43.939415832685505, 'rsi_lag_2': 39.41613054573654, 'rsi_lag_3': 46.27833393207868, 'rsi_lag_4': 47.07798440683424, 'rsi_lag_5': 47.7564220127401, 'macd_lag_1': -0.11622977215458263, 'macd_lag_2': -0.1397051255912629, 'macd_lag_3': -0.15949088593998084, 'macd_lag_4': -0.18140644420975605, 'macd_lag_5': -0.20979483623773376, 'macd_12_26_9': -0.04146991562159741, 'macds_12_26_9': -0.13523234040906085}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 49.36000061035156, '2018-01-04': 49.52000045776367, '2018-01-05': 49.470001220703125, '2018-01-08': 49.31999969482422, '2018-01-09': 48.95000076293945, '2018-01-10': 47.470001220703125, '2018-01-11': 47.7599983215332, '2018-01-12': 47.86000061035156, '2018-01-16': 48.0099983215332}, '1_month_later': {'2018-02-02': 44.34999847412109}, '3_months_later': {'2018-04-02': 40.38999938964844}, '6_months_later': {'2018-07-02': 42.470001220703125}, '12_months_later': {'2019-01-02': 37.11000061035156}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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TROX
|
{'date': '2018-01-02', 'ticker': 'TROX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/9-more-stocks-still-growing-faster-amazon-2018-01-02', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nThere\'s no getting around it - Amazon.com, Inc. (NASDAQ: AMZN ) is a growth machine. Thanks to its foray into new business ventures and the ongoing expansion of different ones, sales are projected to have grown a little more than 30% last year, and are projected to swell at almost the same pace for the new year that just got underway. Few other companies can keep up with Amazon\'s pace.\nEven more impressive is that the e-commerce giant is able to put up those kinds of numbers despite its already-expansive size. When you\'re already the biggest player in your respective markets, what would be a significant improvement for a competitor isn\'t exactly gangbusters progress for you. Amazon CEO Jeff Bezos, however, is continually able to find new ways of beefing up the top and bottom lines in a big way.\n10 Best ETFs to Buy for a Stellar 2018\nIf you think no other companies are outpacing Amazon.com though, think again. For a variety of reasons - be it their relatively small size, a savvy business idea, or both - these nine names are growing faster than Amazon is, and should be able to keep doing so for the foreseeable future. In no certain order …\nStocks Growing Faster Than Amazon: Tronox (TROX)\nSource: Shutterstock\nTronox Ltd (NYSE: TROX ) is anything but a top-of-mind name, sporting a market cap of only $2.5 billion and revenue of a mere $2.4 billion for the past four reported quarters. Still, the minerals miner and processor provides some of the world\'s most unusual and most necessary elements to all sorts of industries, making it indispensable on many fronts. It plays a particularly important role in the development of next-generation aircraft and electric vehicles .\nIts importance is starting to show up in terms of fiscal performance too. The pros are calling for a 35.5% improvement in sales for 2018, which should be enough to spark a swing from a two-cent per share loss in 2017 to a profit of $1.10. per share this year. And we\'ve only scratched the surface of building the kinds of aircraft and the number of electric automobiles that need what Tronox is selling.\nStocks Growing Faster Than Amazon: Wix.Com (WIX)\nSource: Via Wix\nThe internet is anything but new. It became a relatively well-used information super highway back in the 1990\'s, and there are now more than one billion websites to peruse.\nAnd yet, for small business looking to establish a presence on the web, building a website isn\'t necessarily easy. Self-service websites are out there, but haven\'t exactly been smashing successes.\nEnter Wix.Com Ltd (NASDAQ: WIX ), which makes it easy for anyone to build their site. Better still, for whatever reason, Wix is one of the website-building platforms that has clicked with smaller organizations. The proof is in the numbers. Revenue is believed to have grown 46% last year, and is projected to grow 31% this year.\n7 Emerging Market ETFs to Buy for Big Gains in 2018\nBetter still, Wix is expected to swing from a loss of one cent per share in 2017 to a profit of 52 cents per share this year.\nStocks Growing Faster Than Amazon: Cheniere Energy (LNG)\nSource: Roy Luck via Flickr (Modified)\nCalling a spade a spade, Cheniere Energy, Inc. (NYSEAMERICAN: LNG ) is a turnaround story. It\'s a turnaround story that has unfurling at an amazing speed though, for the time being (and the foreseeable future) moving forward at a pace faster than Amazon is capable of moving.\nStill, growth is growth regardless of the circumstances, and the pros are looking for more growth from this once-beleaguered gas and oil player. Though this year\'s top line is only expected to expand by 14%, that modest growth should be enough to turn 2017\'s projected loss of 94 cents per share into a profit of 94 cents per share in 2018.\nInvestors are starting to believe in the turnaround too, with LNG stock racing higher by 28% just since August\'s low. Throw in the fact that natural gas prices are projected to be at least a little higher in 2018 than they were in 2017 , and Cheniere becomes even more interesting.\nStocks Growing Faster Than Amazon: Ionis Pharmaceuticals (IONS)\nSource: Shutterstock\nIonis Pharmaceuticals Inc (NASDAQ: IONS ) isn\'t exactly a household names, and perhaps for good reason. With a market cap of only $6.2 billion and trailing-12-month revenue of less than $500 million, it just doesn\'t command a whole lot of press coverage or analyst interest.\nAll results are relative though, and relative to 2016\'s top line, 2017\'s expected revenue of $442.6 million is up almost 28%. Sales growth is expected to be just a little better than half that pace in 2018, though this year is also expected to mark the pivot into full-year profitability thanks to Spinraza.\n10 Retirement Stocks to Buy and Hold for the Rest of Your Life\nSales of the spinal muscular atrophy drug were up 33% last quarter , and while its comparative revenue growth will surely slow down in the future, the prospective growth of drug candidates inotersen and volanesorsen will certainly offset any lull from its current portfolio.\nStocks Growing Faster Than Amazon: FireEye (FEYE)\nSource: David via Flickr (Modified)\nFor the record, cybersecurity outfit FireEye Inc (NASDAQ: FEYE ) isn\'t profitable. The pros don\'t think it will work its way into the black this year either. And, while sales are growing, 2017\'s revenue growth of only 4% and 2018\'s projected top-line growth of just under 8% isn\'t exactly breathtaking.\nSo how, pray tell, does FireEye qualify as a name that\'s moving faster than Amazon is? Because the bottom line is improving at breakneck speed.\nFireEye spent the last several years - and hundreds of millions of dollars - building a platform that would become a one-stop cybersecurity solution. It was a brilliant idea, but not an inexpensive one, and a model that requires tremendous scale.\nAll the pieces are in place now though, and the needed scale has been achieved. After losing 99 cents per share in 2016 and on pace to lose 18 cents per share for 2017, the pros only expect a loss of two cents per share this year … more than an 80% improvement in the bottom line for two years in a row. The trajectory sets the stage for a surprise move to profitability in 2019.\nStocks Growing Faster Than Amazon: XPO Logistics (XPO)\nDon\'t sweat it if you haven\'t heard of XPO Logistics Inc (NYSE: XPO ) - plenty of investors haven\'t. It\'s a logistics (read "shipping and delivery") company, but pales in comparison to FedEx Corporation (NYSE: FDX ) and United Parcel Service, Inc. (NYSE: UPS ) in terms of market cap and in terms of market share.\nStill, XPO Logistics is managing to rise the fast-growing need for logistics services … at least when it comes to earnings. With its scale reaching critical mass, the company is expected to report a near-doubling in its per-share income for 2017, and the pros are calling for a 49% increase in its bottom line for 2018.\n8 Stocks to Buy That Are Growing Faster Than Amazon\nLet\'s put it like this: XPO is hot enough that it\'s been pegged as a buyout candidate from not one but two big players . One of them is Home Depot Inc (NYSE: HD ), and the other is Amazon.com.\nStocks Growing Faster Than Amazon: JD.Com (JD)\nSource: Daniel Cukier via Flickr\nIt may play second fiddle to Alibaba Group Holding Ltd (NYSE: BABA ) on China\'s e-commerce front, but with the country\'s internet evolution in the midst of a proverbial critical mass, there\'s plenty of growth to go around for JD.Com Inc(ADR) (NASDAQ: JD ) too.\nAnd the company is most certainly capitalizing on the opportunity. Last year\'s top line should be up nearly 40% year-over-year once the fourth quarter\'s final tally is taken, and this year\'s is expected to grow more than 30%. Earnings are growing at a similar pace.\nStill, is there a particular reason one might want to own JD instead of its rival Alibaba, which is considerably bigger? Yes, there is. Like its North American counterpart Amazon.com, the proverbial "rest of the world" is not only gunning for Alibaba, all those other players are specifically helping JD.com keep Alibaba in check , as JD is best-positioned to do so.\nStocks Growing Faster Than Amazon: Regeneron Pharmaceuticals (REGN)\nSource: Mark Bellusci via Vimeo\nRegeneron Pharmaceuticals Inc (NASDAQ: REGN ) shares are down 27% since their late-July peak, mostly in response to failed drug trials of its flagship eye therapy Eylea , and tepid sales of eczema drug Dupixent .\nDon\'t let the stock\'s meltdown fool you though. The company is doing fine. More than fine, actually. Sales are expected to have grown nearly 19% for 2017, with 2017\'s full-year earnings forecasts up 38% year-over-year.\nAnd things are apt to keep moving forward at that pace. On the strength of its pipeline, Argus analyst Jasper Hellweg recently noted "We believe that the company\'s financial results will benefit from potential new indications for Eylea and Praluent, as well as from increased sales of Praluent, Dupixent and Kevzara.\n5 Top Mutual Funds to Buy to Keep Taxes to a Minimum\nRegeneron has the marketing and commercial ability to roll out drugs quickly, as seen in its recent product launches."\nStocks Growing Faster Than Amazon: ServiceNow (NOW)\nSource: JD Hancock via Flickr\nLast but not least, add ServiceNow Inc (NYSE: NOW ) to your list of names growing even faster than Amazon is.\nServiceNow provides a variety of IT and cloud-based services to organizations that don\'t want to build their own technology backbone from scratch. The need for what it provides is exploding, as evidenced by last year\'s projected sales growth of 38%, and this year\'s projected revenue growth of 31%. Non-GAAP earnings are improving at an even faster pace.\nIt\'s not a reason in and of itself to step into NOW stock (especially in light of the 52% gain it\'s dished out over the course of the past twelve months), but things are going well enough for ServiceNow that Microsoft Corporation (NASDAQ: MSFT ) has been pegged as a potential suitor .\nAs of this writing, James Brumley did not hold a position in any of the aforementioned securities. You can follow him on Twitter , at @jbrumley.\nCompare Brokers\nThe post 9 More Stocks Still Growing Faster Than Amazon appeared first on InvestorPlace .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'In no certain order … Stocks Growing Faster Than Amazon: Tronox (TROX) Source: Shutterstock Tronox Ltd (NYSE: TROX ) is anything but a top-of-mind name, sporting a market cap of only $2.5 billion and revenue of a mere $2.4 billion for the past four reported quarters. With its scale reaching critical mass, the company is expected to report a near-doubling in its per-share income for 2017, and the pros are calling for a 49% increase in its bottom line for 2018. 5 Top Mutual Funds to Buy to Keep Taxes to a Minimum Regeneron has the marketing and commercial ability to roll out drugs quickly, as seen in its recent product launches."', 'news_luhn_summary': "In no certain order … Stocks Growing Faster Than Amazon: Tronox (TROX) Source: Shutterstock Tronox Ltd (NYSE: TROX ) is anything but a top-of-mind name, sporting a market cap of only $2.5 billion and revenue of a mere $2.4 billion for the past four reported quarters. Stocks Growing Faster Than Amazon: Cheniere Energy (LNG) Source: Roy Luck via Flickr (Modified) Calling a spade a spade, Cheniere Energy, Inc. (NYSEAMERICAN: LNG ) is a turnaround story. Stocks Growing Faster Than Amazon: Ionis Pharmaceuticals (IONS) Source: Shutterstock Ionis Pharmaceuticals Inc (NASDAQ: IONS ) isn't exactly a household names, and perhaps for good reason.", 'news_article_title': '9 More Stocks Still Growing Faster Than Amazon', 'news_lexrank_summary': 'In no certain order … Stocks Growing Faster Than Amazon: Tronox (TROX) Source: Shutterstock Tronox Ltd (NYSE: TROX ) is anything but a top-of-mind name, sporting a market cap of only $2.5 billion and revenue of a mere $2.4 billion for the past four reported quarters. Stocks Growing Faster Than Amazon: Wix.Com (WIX) Source: Via Wix The internet is anything but new. It\'s a logistics (read "shipping and delivery") company, but pales in comparison to FedEx Corporation (NYSE: FDX ) and United Parcel Service, Inc. (NYSE: UPS ) in terms of market cap and in terms of market share.', 'news_textrank_summary': "In no certain order … Stocks Growing Faster Than Amazon: Tronox (TROX) Source: Shutterstock Tronox Ltd (NYSE: TROX ) is anything but a top-of-mind name, sporting a market cap of only $2.5 billion and revenue of a mere $2.4 billion for the past four reported quarters. Stocks Growing Faster Than Amazon: XPO Logistics (XPO) Don't sweat it if you haven't heard of XPO Logistics Inc (NYSE: XPO ) - plenty of investors haven't. Stocks Growing Faster Than Amazon: JD.Com (JD) Source: Daniel Cukier via Flickr It may play second fiddle to Alibaba Group Holding Ltd (NYSE: BABA ) on China's e-commerce front, but with the country's internet evolution in the midst of a proverbial critical mass, there's plenty of growth to go around for JD.Com Inc(ADR) (NASDAQ: JD ) too."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.31999969482422, 'high': 21.049999237060547, 'open': 20.559999465942383, 'close': 20.940000534057617, 'ema_50': 22.602574607479138, 'rsi_14': 60.57269157393555, 'target': 21.21999931335449, 'volume': 1802500.0, 'ema_200': 20.119061879026376, 'adj_close': 19.91703414916992, 'rsi_lag_1': 57.882350301248785, 'rsi_lag_2': 61.34662546922647, 'rsi_lag_3': 68.23770083333099, 'rsi_lag_4': 27.40550722096644, 'rsi_lag_5': 25.38330953480694, 'macd_lag_1': -1.1006499134120595, 'macd_lag_2': -1.1794311796071035, 'macd_lag_3': -1.2984657628695828, 'macd_lag_4': -1.3856921421835722, 'macd_lag_5': -1.4626147154938245, 'macd_12_26_9': -0.9920816615539252, 'macds_12_26_9': -1.2419689455042737}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 21.21999931335449, '2018-01-04': 21.26000022888184, '2018-01-05': 21.030000686645508, '2018-01-08': 20.850000381469727, '2018-01-09': 20.920000076293945, '2018-01-10': 20.71999931335449, '2018-01-11': 21.549999237060547, '2018-01-12': 21.5, '2018-01-16': 20.61000061035156}, '1_month_later': {'2018-02-02': 18.049999237060547}, '3_months_later': {'2018-04-02': 17.84000015258789}, '6_months_later': {'2018-07-02': 19.86000061035156}, '12_months_later': {'2019-01-02': 8.3100004196167}}
|
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.
|
TROW
|
{'date': '2018-01-02', 'ticker': 'TROW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/4134950-lannys-december-dividend-income-summary?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Lanny's December Dividend Income Summary", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134917-monthly-review-divgro-december-2017?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Monthly Review Of DivGro: December 2017', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'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': 102.3499984741211, 'high': 105.0, 'open': 104.44000244140624, 'close': 103.08000183105467, 'ema_50': 99.23593445339928, 'rsi_14': 56.73604420196051, 'target': 104.48999786376952, 'volume': 1603500.0, 'ema_200': 87.07656199218913, 'adj_close': 96.1054229736328, 'rsi_lag_1': 63.32515988587646, 'rsi_lag_2': 66.70945522548341, 'rsi_lag_3': 69.20326076504246, 'rsi_lag_4': 72.62769928736779, 'rsi_lag_5': 63.038763513791245, 'macd_lag_1': 1.912838931893475, 'macd_lag_2': 1.9797423929525735, 'macd_lag_3': 1.994594234203177, 'macd_lag_4': 2.017120091647641, 'macd_lag_5': 1.9819127626019366, 'macd_12_26_9': 1.6910447302005593, 'macds_12_26_9': 1.9154163249496268}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 104.48999786376952, '2018-01-04': 105.30999755859376, '2018-01-05': 107.2300033569336, '2018-01-08': 109.87999725341795, '2018-01-09': 111.75, '2018-01-10': 112.2699966430664, '2018-01-11': 113.05999755859376, '2018-01-12': 115.3499984741211, '2018-01-16': 114.47000122070312}, '1_month_later': {'2018-02-02': 109.88999938964844}, '3_months_later': {'2018-04-02': 104.66999816894533}, '6_months_later': {'2018-07-02': 116.5199966430664}, '12_months_later': {'2019-01-02': 91.83999633789062}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TSE
|
{'date': '2018-01-02', 'ticker': 'TSE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 72.0, 'high': 73.3499984741211, 'open': 72.80000305175781, 'close': 73.3499984741211, 'ema_50': 71.53713318867923, 'rsi_14': 58.375630586006395, 'target': 73.25, 'volume': 244300.0, 'ema_200': 67.43556170623889, 'adj_close': 67.12913513183594, 'rsi_lag_1': 59.405935358720804, 'rsi_lag_2': 67.69231732309399, 'rsi_lag_3': 70.42252512147925, 'rsi_lag_4': 68.22429839903994, 'rsi_lag_5': 65.15834948392896, 'macd_lag_1': 0.45513747840853114, 'macd_lag_2': 0.5005640298497127, 'macd_lag_3': 0.4545361580774454, 'macd_lag_4': 0.4502679518013082, 'macd_lag_5': 0.4586341421309612, 'macd_12_26_9': 0.4741891833659082, 'macds_12_26_9': 0.43478502584548034}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 73.25, '2018-01-04': 75.3499984741211, '2018-01-05': 77.44999694824219, '2018-01-08': 76.1500015258789, '2018-01-09': 77.0, '2018-01-10': 76.80000305175781, '2018-01-11': 79.3499984741211, '2018-01-12': 78.55000305175781, '2018-01-16': 77.44999694824219}, '1_month_later': {'2018-02-02': 80.5}, '3_months_later': {'2018-04-02': 72.75}, '6_months_later': {'2018-07-02': 70.55000305175781}, '12_months_later': {'2019-01-02': 46.58000183105469}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TSI
|
{'date': '2018-01-02', 'ticker': 'TSI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.659999847412109, 'high': 5.809999942779541, 'open': 5.809999942779541, 'close': 5.659999847412109, 'ema_50': 5.648365287785333, 'rsi_14': 52.688154400767445, 'target': 5.630000114440918, 'volume': 99800.0, 'ema_200': 5.5955773708440635, 'adj_close': 4.778652191162109, 'rsi_lag_1': 71.24996200207066, 'rsi_lag_2': 62.686526799293716, 'rsi_lag_3': 66.66666666666666, 'rsi_lag_4': 64.40675363426894, 'rsi_lag_5': 59.67741191200968, 'macd_lag_1': 0.04872270582203875, 'macd_lag_2': 0.036430323007834886, 'macd_lag_3': 0.03548361395500432, 'macd_lag_4': 0.025613648323827398, 'macd_lag_5': 0.020788916270632285, 'macd_12_26_9': 0.041046105772188035, 'macds_12_26_9': 0.02750636713322501}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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{'next_10_days': {'2018-01-03': 5.630000114440918, '2018-01-04': 5.610000133514404, '2018-01-05': 5.570000171661377, '2018-01-08': 5.599999904632568, '2018-01-09': 5.650000095367432, '2018-01-10': 5.710000038146973, '2018-01-11': 5.71999979019165, '2018-01-12': 5.630000114440918, '2018-01-16': 5.610000133514404}, '1_month_later': {'2018-02-02': 5.400000095367432}, '3_months_later': {'2018-04-02': 5.590000152587891}, '6_months_later': {'2018-07-02': 5.400000095367432}, '12_months_later': {'2019-01-02': 5.230000019073486}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TTP
|
{'date': '2018-01-02', 'ticker': 'TTP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 75.36000061035156, 'high': 77.5199966430664, 'open': 75.72000122070312, 'close': 76.4000015258789, 'ema_50': 72.266010456901, 'rsi_14': 68.5606016819351, 'target': 78.55999755859375, 'volume': 16700.0, 'ema_200': 75.59526023206058, 'adj_close': 76.4000015258789, 'rsi_lag_1': 71.57532725420006, 'rsi_lag_2': 73.3974292355075, 'rsi_lag_3': 70.5673754068334, 'rsi_lag_4': 67.83219581423216, 'rsi_lag_5': 71.06228232277542, 'macd_lag_1': 1.1629514483144305, 'macd_lag_2': 1.0743074472481595, 'macd_lag_3': 0.9455391775635889, 'macd_lag_4': 0.9099755765891473, 'macd_lag_5': 0.8717115835907521, 'macd_12_26_9': 1.314875729436352, 'macds_12_26_9': 0.9235580667210789}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 78.55999755859375, '2018-01-04': 79.91999816894531, '2018-01-05': 78.91999816894531, '2018-01-08': 78.95999908447266, '2018-01-09': 78.55999755859375, '2018-01-10': 78.23999786376953, '2018-01-11': 79.68000030517578, '2018-01-12': 79.76000213623047, '2018-01-16': 79.44000244140625}, '1_month_later': {'2018-02-02': 75.44000244140625}, '3_months_later': {'2018-04-02': 64.16000366210939}, '6_months_later': {'2018-07-02': 67.63999938964844}, '12_months_later': {'2019-01-02': 50.79999923706055}}
|
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.
|
TTOO
|
{'date': '2018-01-02', 'ticker': 'TTOO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 4.070000171661377, 'high': 4.449999809265137, 'open': 4.099999904632568, 'close': 4.429999828338623, 'ema_50': 4.131637679547512, 'rsi_14': 67.44185358807034, 'target': 4.639999866485596, 'volume': 541300.0, 'ema_200': 4.394555582884001, 'adj_close': 4.429999828338623, 'rsi_lag_1': 55.9999942779541, 'rsi_lag_2': 50.467278057962886, 'rsi_lag_3': 52.67856800738757, 'rsi_lag_4': 56.73075997265523, 'rsi_lag_5': 57.84312625520314, 'macd_lag_1': 0.0061368959073524465, 'macd_lag_2': 0.007260426782592866, 'macd_lag_3': 0.010625216222672762, 'macd_lag_4': 0.018838085897077583, 'macd_lag_5': 0.017846671983349438, 'macd_12_26_9': 0.029916040703668045, 'macds_12_26_9': 0.01193952588450304}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 4.639999866485596, '2018-01-04': 4.670000076293945, '2018-01-05': 5.010000228881836, '2018-01-08': 5.090000152587891, '2018-01-09': 5.110000133514404, '2018-01-10': 5.559999942779541, '2018-01-11': 5.420000076293945, '2018-01-12': 5.199999809265137, '2018-01-16': 4.989999771118164}, '1_month_later': {'2018-02-02': 4.670000076293945}, '3_months_later': {'2018-04-02': 6.320000171661377}, '6_months_later': {'2018-07-02': 7.820000171661377}, '12_months_later': {'2019-01-02': 3.5299999713897705}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TTNP
|
{'date': '2018-01-02', 'ticker': 'TTNP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.980000019073486, 'high': 8.399999618530273, 'open': 8.100000381469727, 'close': 8.399999618530273, 'ema_50': 9.259389430550854, 'rsi_14': 43.05554911678033, 'target': 8.100000381469727, 'volume': 8500.0, 'ema_200': 13.236061592701956, 'adj_close': 8.399999618530273, 'rsi_lag_1': 36.92307428965614, 'rsi_lag_2': 41.42857256389818, 'rsi_lag_3': 36.249997392296635, 'rsi_lag_4': 37.17948744073922, 'rsi_lag_5': 43.589739932215764, 'macd_lag_1': -0.5232629208289019, 'macd_lag_2': -0.5600012917865165, 'macd_lag_3': -0.5987473392009708, 'macd_lag_4': -0.6394923329670412, 'macd_lag_5': -0.6944142734292864, 'macd_12_26_9': -0.45501194509828125, 'macds_12_26_9': -0.5951595220472952}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 8.100000381469727, '2018-01-04': 8.399999618530273, '2018-01-05': 8.100000381469727, '2018-01-08': 8.399999618530273, '2018-01-09': 8.279999732971191, '2018-01-10': 7.800000190734863, '2018-01-11': 7.980000019073486, '2018-01-12': 8.279999732971191, '2018-01-16': 8.399999618530273}, '1_month_later': {'2018-02-02': 7.980000019073486}, '3_months_later': {'2018-04-02': 6.0}, '6_months_later': {'2018-07-02': 6.360000133514404}, '12_months_later': {'2019-01-02': 1.3799999952316284}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TTMI
|
{'date': '2018-01-02', 'ticker': 'TTMI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 15.609999656677246, 'high': 15.970000267028809, 'open': 15.729999542236328, 'close': 15.859999656677246, 'ema_50': 16.025290370380308, 'rsi_14': 60.62992066856321, 'target': 16.010000228881836, 'volume': 473100.0, 'ema_200': 15.557539009997786, 'adj_close': 15.859999656677246, 'rsi_lag_1': 51.136371435868455, 'rsi_lag_2': 50.561792535554744, 'rsi_lag_3': 49.61833033581325, 'rsi_lag_4': 49.42964538585329, 'rsi_lag_5': 52.41935018694688, 'macd_lag_1': -0.11988679991442908, 'macd_lag_2': -0.10356955000991519, 'macd_lag_3': -0.08530906279304418, 'macd_lag_4': -0.05363394017714995, 'macd_lag_5': -0.017515666863719304, 'macd_12_26_9': -0.11614807704648555, 'macds_12_26_9': -0.08714387161969049}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 16.010000228881836, '2018-01-04': 15.989999771118164, '2018-01-05': 16.31999969482422, '2018-01-08': 16.639999389648438, '2018-01-09': 16.59000015258789, '2018-01-10': 16.56999969482422, '2018-01-11': 16.799999237060547, '2018-01-12': 17.389999389648438, '2018-01-16': 17.100000381469727}, '1_month_later': {'2018-02-02': 16.1200008392334}, '3_months_later': {'2018-04-02': 14.90999984741211}, '6_months_later': {'2018-07-02': 17.889999389648438}, '12_months_later': {'2019-01-02': 9.789999961853027}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TTM
|
{'date': '2018-01-02', 'ticker': 'TTM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320619-premarket-gainers-9-05?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Premarket Gainers as of 9:05 am', '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': 34.060001373291016, 'high': 34.400001525878906, 'open': 34.099998474121094, 'close': 34.31999969482422, 'ema_50': 32.23784341184283, 'rsi_14': 74.70118840727281, 'target': 33.93000030517578, 'volume': 1504000.0, 'ema_200': 33.0829436231666, 'adj_close': 34.31999969482422, 'rsi_lag_1': 68.48634636782667, 'rsi_lag_2': 66.31298929557624, 'rsi_lag_3': 75.69621866816803, 'rsi_lag_4': 72.74937535501742, 'rsi_lag_5': 71.35680968741056, 'macd_lag_1': 0.2229609204661145, 'macd_lag_2': 0.1745414648548831, 'macd_lag_3': 0.1865654838404609, 'macd_lag_4': 0.16763504848201904, 'macd_lag_5': 0.10539839291789832, 'macd_12_26_9': 0.3580706259112034, 'macds_12_26_9': 0.12642980952114638}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 33.93000030517578, '2018-01-04': 33.689998626708984, '2018-01-05': 33.869998931884766, '2018-01-08': 34.04999923706055, '2018-01-09': 34.2400016784668, '2018-01-10': 33.75, '2018-01-11': 34.290000915527344, '2018-01-12': 34.31999969482422, '2018-01-16': 33.11000061035156}, '1_month_later': {'2018-02-02': 29.75}, '3_months_later': {'2018-04-02': 25.670000076293945}, '6_months_later': {'2018-07-02': 19.799999237060547}, '12_months_later': {'2019-01-02': 12.0600004196167}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TTI
|
{'date': '2018-01-02', 'ticker': 'TTI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/explosive-stocks-under-10-2018-01-02', 'news_author': None, 'news_article': "This screen is a bit of a departure from my normal stock screens.\nUsually I require my screens to have a minimum price of $10 per share.\nBut I do at times scan for stocks under $10. And that's one of the screens I'm running for myself right now.\nPenny Stocks\nOne dollar is a common threshold when screening for stocks. A lot of investors actively avoid penny stocks due to the speculative nature, the often wide bid/ask spreads, and the excessive volatility that is all too common in stocks under $1.00.\nBut some, of course, work out spectacularly well. And that's probably what keeps people interested in them.\nSeeing a stock make a 100% return or 200% return or more from a base of 50 cents, for example, seems easier than investing in a $50 stock or $100 stock and seeing that double or triple.\n$5 Stocks\nFive dollars is another common minimum when screening for stocks since many institutional investors won't even consider a stock if it's trading under $5. And since institutional investors are usually the ones that can move a stock; having stocks that are open to them is usually a bonus.\nAnd quite frankly, lots of cheap stocks are cheap for a reason, i.e., that's all they're worth.\nBut being over $5 does put them into a different category of consideration. Maybe not the best category, but a step up from stocks less than a dollar.\nStocks Under $10\nMy minimum has typically been $10. With over 10,000 stocks out there, this minimum quickly lets me cull down several thousand stocks with a click of a button.\nThat doesn't mean there aren't any good stocks below that price point, because there are.\nAnd I can recall several sub-$10 stocks in the past that worked out exceptionally well. Maybe it's because I use them sparingly. Or maybe it's because I'm ultra picky in selecting them.\nEither way, there can be a place for cheaper stocks in your portfolio sometimes.\nAnd that's what we're looking at today.\nScreen Parameters\n• Price less than or equal to $10\n• Average Dollar Volume greater than or equal to $1,000,000\n(Price x volume shows you how much money is trading in and out of the stock on a daily basis.)\n• Weekly Volume greater than Previous Week's Volume (any two out of three weeks)\n(Want to see increasing volume to show greater investor interest and demand.)\n• Zacks Rank less than or equal to 3\n(No Sells or Strong Sells.)\n• Average Broker Rating less than or equal to 3.5\n(Average Broker Rating of a Hold or Better.)\n• # of Analysts in Rating greater than or equal to 2\n(Minimum of at least two analysts covering the stock.)\n• % Change F1 Earnings Estimate Revisions -- 12 Weeks greater than or equal to 0\n(Preferably upward earnings estimate revisions, but definitely no downward revisions.)\nStocks\nHere are 5 stocks that made it through this week's screen:\nVTL Vital Therapies\nSAND Sandstorm Gold\nTTI TETRA Technologies\nSB Safe Bulkers\nRBBN Ribbon Communications\nI think each one of these picks has big potential. And the entire list is worth a thorough analysis.\nI would not suggest filling up an entire portfolio of stocks under $10 though. But adding a careful selection of some of the best cheap stock names could add some excess returns to your bottom line, not to mention a little excitement to your stock picking process as well.\nGet the rest of the stocks on this list and start screening for the best stocks under $10 for yourself. And don't forget to backtest your strategy so you'll know how successful it's been before you put any of your money at risk. You can do it.\nSign up for a free two week trial to the Research Wizard today.\nWant more articles from this author? Scroll up to the top of this article and click the FOLLOW AUTHOR button to get an email each time a new article is published.\nDisclosure: Officers, directors and/or employees of Zacks Investment Research may own or have sold short securities and/or hold long and/or short positions in options that are mentioned in this material. An affiliated investment advisory firm may own or have sold short securities and/or hold long and/or short positions in options that are mentioned in this material.\nDisclosure: Performance information for Zacks' portfolios and strategies are available at: https://www.zacks.com/performance .\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\nVital Therapies, Inc. (VTL): Free Stock Analysis Report\nTetra Technologies, Inc. (TTI): Free Stock Analysis Report\nSafe Bulkers, Inc (SB): Free Stock Analysis Report\nSandstorm Gold Ltd (SAND): Free Stock Analysis Report\nSonus Networks, Inc. (RBBN): 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': "Stocks Here are 5 stocks that made it through this week's screen: VTL Vital Therapies SAND Sandstorm Gold TTI TETRA Technologies SB Safe Bulkers RBBN Ribbon Communications I think each one of these picks has big potential. Click to get this free report Vital Therapies, Inc. (VTL): Free Stock Analysis Report Tetra Technologies, Inc. (TTI): Free Stock Analysis Report Safe Bulkers, Inc (SB): Free Stock Analysis Report Sandstorm Gold Ltd (SAND): Free Stock Analysis Report Sonus Networks, Inc. (RBBN): Free Stock Analysis Report To read this article on Zacks.com click here. Screen Parameters • Price less than or equal to $10 • Average Dollar Volume greater than or equal to $1,000,000 (Price x volume shows you how much money is trading in and out of the stock on a daily basis.)", 'news_luhn_summary': "Stocks Here are 5 stocks that made it through this week's screen: VTL Vital Therapies SAND Sandstorm Gold TTI TETRA Technologies SB Safe Bulkers RBBN Ribbon Communications I think each one of these picks has big potential. Click to get this free report Vital Therapies, Inc. (VTL): Free Stock Analysis Report Tetra Technologies, Inc. (TTI): Free Stock Analysis Report Safe Bulkers, Inc (SB): Free Stock Analysis Report Sandstorm Gold Ltd (SAND): Free Stock Analysis Report Sonus Networks, Inc. (RBBN): Free Stock Analysis Report To read this article on Zacks.com click here. Disclosure: Officers, directors and/or employees of Zacks Investment Research may own or have sold short securities and/or hold long and/or short positions in options that are mentioned in this material.", 'news_article_title': 'Explosive Stocks Under $10', 'news_lexrank_summary': "Stocks Here are 5 stocks that made it through this week's screen: VTL Vital Therapies SAND Sandstorm Gold TTI TETRA Technologies SB Safe Bulkers RBBN Ribbon Communications I think each one of these picks has big potential. Click to get this free report Vital Therapies, Inc. (VTL): Free Stock Analysis Report Tetra Technologies, Inc. (TTI): Free Stock Analysis Report Safe Bulkers, Inc (SB): Free Stock Analysis Report Sandstorm Gold Ltd (SAND): Free Stock Analysis Report Sonus Networks, Inc. (RBBN): Free Stock Analysis Report To read this article on Zacks.com click here. $5 Stocks Five dollars is another common minimum when screening for stocks since many institutional investors won't even consider a stock if it's trading under $5.", 'news_textrank_summary': "Click to get this free report Vital Therapies, Inc. (VTL): Free Stock Analysis Report Tetra Technologies, Inc. (TTI): Free Stock Analysis Report Safe Bulkers, Inc (SB): Free Stock Analysis Report Sandstorm Gold Ltd (SAND): Free Stock Analysis Report Sonus Networks, Inc. (RBBN): Free Stock Analysis Report To read this article on Zacks.com click here. Stocks Here are 5 stocks that made it through this week's screen: VTL Vital Therapies SAND Sandstorm Gold TTI TETRA Technologies SB Safe Bulkers RBBN Ribbon Communications I think each one of these picks has big potential. Seeing a stock make a 100% return or 200% return or more from a base of 50 cents, for example, seems easier than investing in a $50 stock or $100 stock and seeing that double or triple."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.2199997901916495, 'high': 4.349999904632568, 'open': 4.269999980926514, 'close': 4.309999942779541, 'ema_50': 3.749088421902339, 'rsi_14': 64.07765214907474, 'target': 4.389999866485597, 'volume': 662700.0, 'ema_200': 3.489762675352775, 'adj_close': 4.309999942779541, 'rsi_lag_1': 66.05502520234924, 'rsi_lag_2': 70.53569185797237, 'rsi_lag_3': 69.9114687619339, 'rsi_lag_4': 64.22762163209913, 'rsi_lag_5': 55.357131453206364, 'macd_lag_1': 0.17780060558910282, 'macd_lag_2': 0.1858891799879423, 'macd_lag_3': 0.18943657621396426, 'macd_lag_4': 0.18713617926339277, 'macd_lag_5': 0.17638712694601066, 'macd_12_26_9': 0.17262806584507917, 'macds_12_26_9': 0.18377162808313757}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 4.389999866485597, '2018-01-04': 4.53000020980835, '2018-01-05': 4.340000152587892, '2018-01-08': 4.340000152587892, '2018-01-09': 4.179999828338623, '2018-01-10': 4.130000114440918, '2018-01-11': 4.309999942779541, '2018-01-12': 4.389999866485597, '2018-01-16': 4.25}, '1_month_later': {'2018-02-02': 3.809999942779541}, '3_months_later': {'2018-04-02': 3.4300000667572017}, '6_months_later': {'2018-07-02': 4.46999979019165}, '12_months_later': {'2019-01-02': 1.7699999809265137}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TTGT
|
{'date': '2018-01-02', 'ticker': 'TTGT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 13.640000343322754, 'high': 14.170000076293944, 'open': 13.93000030517578, 'close': 13.68000030517578, 'ema_50': 13.276049823603174, 'rsi_14': 55.85586282206924, 'target': 13.6899995803833, 'volume': 74600.0, 'ema_200': 11.291405939962097, 'adj_close': 13.68000030517578, 'rsi_lag_1': 54.625552511545926, 'rsi_lag_2': 51.88284886133652, 'rsi_lag_3': 50.43102402890625, 'rsi_lag_4': 50.649366198113455, 'rsi_lag_5': 50.434793064872316, 'macd_lag_1': 0.17268000704105368, 'macd_lag_2': 0.18249353602826446, 'macd_lag_3': 0.1882919927501323, 'macd_lag_4': 0.20619051472366046, 'macd_lag_5': 0.20261817024480955, 'macd_12_26_9': 0.14387820051411282, 'macds_12_26_9': 0.1962792573717419}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 13.6899995803833, '2018-01-04': 13.890000343322754, '2018-01-05': 13.739999771118164, '2018-01-08': 13.970000267028809, '2018-01-09': 14.15999984741211, '2018-01-10': 13.869999885559082, '2018-01-11': 13.920000076293944, '2018-01-12': 14.609999656677246, '2018-01-16': 14.720000267028809}, '1_month_later': {'2018-02-02': 15.649999618530272}, '3_months_later': {'2018-04-02': 19.15999984741211}, '6_months_later': {'2018-07-02': 28.530000686645508}, '12_months_later': {'2019-01-02': 12.1899995803833}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TTD
|
{'date': '2018-01-02', 'ticker': 'TTD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 45.45000076293945, 'high': 46.709999084472656, 'open': 45.68999862670898, 'close': 46.40999984741211, 'ema_50': 51.007045422777395, 'rsi_14': 42.24774325668262, 'target': 47.90999984741211, 'volume': 690200.0, 'ema_200': 49.76169059019049, 'adj_close': 46.40999984741211, 'rsi_lag_1': 51.648350784620156, 'rsi_lag_2': 53.86818904837207, 'rsi_lag_3': 59.73846867549621, 'rsi_lag_4': 54.73472218414925, 'rsi_lag_5': 53.274818975713686, 'macd_lag_1': -1.5039598723240672, 'macd_lag_2': -1.4784741072889034, 'macd_lag_3': -1.494694331257449, 'macd_lag_4': -1.553728969658863, 'macd_lag_5': -1.5525154292223107, 'macd_12_26_9': -1.4525431696188136, 'macds_12_26_9': -1.645199001852355}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 47.90999984741211, '2018-01-04': 47.650001525878906, '2018-01-05': 48.34999847412109, '2018-01-08': 47.869998931884766, '2018-01-09': 47.41999816894531, '2018-01-10': 47.900001525878906, '2018-01-11': 48.959999084472656, '2018-01-12': 49.130001068115234, '2018-01-16': 48.33000183105469}, '1_month_later': {'2018-02-02': 46.7599983215332}, '3_months_later': {'2018-04-02': 48.0099983215332}, '6_months_later': {'2018-07-02': 94.1999969482422}, '12_months_later': {'2019-01-02': 116.16000366210938}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TSU
|
{'date': '2018-01-02', 'ticker': 'TSU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 19.61000061035156, 'high': 20.1299991607666, 'open': 19.81999969482422, 'close': 20.100000381469727, 'ema_50': 18.608106444967532, 'rsi_14': 79.05027888314623, 'target': 20.309999465942383, 'volume': 911400.0, 'ema_200': 17.12492640813408, 'adj_close': 19.114999771118164, 'rsi_lag_1': 67.5496684559122, 'rsi_lag_2': 71.89544479904268, 'rsi_lag_3': 61.98830605042547, 'rsi_lag_4': 63.380275636262525, 'rsi_lag_5': 60.54215846515796, 'macd_lag_1': 0.2562427781382084, 'macd_lag_2': 0.24537074809888892, 'macd_lag_3': 0.21570678797259646, 'macd_lag_4': 0.1828526814545981, 'macd_lag_5': 0.15964113839045524, 'macd_12_26_9': 0.32486062082488587, 'macds_12_26_9': 0.20007386605507405}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 20.309999465942383, '2018-01-04': 20.26000022888184, '2018-01-05': 20.36000061035156, '2018-01-08': 20.07999992370605, '2018-01-09': 20.07999992370605, '2018-01-10': 19.690000534057617, '2018-01-11': 19.8700008392334, '2018-01-12': 19.959999084472656, '2018-01-16': 19.600000381469727}, '1_month_later': {'2018-02-02': 20.43000030517578}, '3_months_later': {'2018-04-02': 21.18000030517578}, '6_months_later': {'2018-07-02': 16.729999542236328}, '12_months_later': {'2019-01-02': 16.100000381469727}}
|
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.
|
TSQ
|
{'date': '2018-01-02', 'ticker': 'TSQ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.550000190734863, 'high': 7.829999923706055, 'open': 7.75, 'close': 7.579999923706055, 'ema_50': 8.304520365929507, 'rsi_14': 48.275856399077796, 'target': 7.699999809265137, 'volume': 54800.0, 'ema_200': 9.517657945314237, 'adj_close': 6.787023067474365, 'rsi_lag_1': 47.115373814239234, 'rsi_lag_2': 45.54454370428144, 'rsi_lag_3': 50.27323059348833, 'rsi_lag_4': 50.82872258645118, 'rsi_lag_5': 43.35259701367476, 'macd_lag_1': -0.11476817991746469, 'macd_lag_2': -0.10913565674031922, 'macd_lag_3': -0.09221363446428654, 'macd_lag_4': -0.09574644192590842, 'macd_lag_5': -0.12024468690045964, 'macd_12_26_9': -0.12585042630993293, 'macds_12_26_9': -0.14850792821746256}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 7.699999809265137, '2018-01-04': 7.639999866485596, '2018-01-05': 7.679999828338623, '2018-01-08': 7.679999828338623, '2018-01-09': 7.570000171661377, '2018-01-10': 7.440000057220459, '2018-01-11': 7.599999904632568, '2018-01-12': 7.900000095367432, '2018-01-16': 7.909999847412109}, '1_month_later': {'2018-02-02': 7.210000038146973}, '3_months_later': {'2018-04-02': 7.650000095367432}, '6_months_later': {'2018-07-02': 6.630000114440918}, '12_months_later': {'2019-01-02': 5.03000020980835}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TSN
|
{'date': '2018-01-02', 'ticker': 'TSN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320646-jefferies-warns-elevated-chicken-production?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Jefferies warns on elevated chicken production', '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': 80.20999908447266, 'high': 81.12000274658203, 'open': 81.12000274658203, 'close': 80.62000274658203, 'ema_50': 78.3385221090072, 'rsi_14': 38.7755243267183, 'target': 79.70999908447266, 'volume': 1573700.0, 'ema_200': 70.04920455720654, 'adj_close': 76.19681549072266, 'rsi_lag_1': 36.42170810698378, 'rsi_lag_2': 43.46036682383797, 'rsi_lag_3': 41.0484794791184, 'rsi_lag_4': 41.83470052313661, 'rsi_lag_5': 33.70290517640231, 'macd_lag_1': 0.7638744604766714, 'macd_lag_2': 0.8674058433232688, 'macd_lag_3': 0.9380596542750084, 'macd_lag_4': 1.0217223469369543, 'macd_lag_5': 1.0881904041608834, 'macd_12_26_9': 0.6381578146775126, 'macds_12_26_9': 1.0887606866551782}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 79.70999908447266, '2018-01-04': 80.22000122070312, '2018-01-05': 80.83000183105469, '2018-01-08': 81.70999908447266, '2018-01-09': 82.26000213623047, '2018-01-10': 81.0, '2018-01-11': 79.95999908447266, '2018-01-12': 79.9000015258789, '2018-01-16': 78.66999816894531}, '1_month_later': {'2018-02-02': 74.48999786376953}, '3_months_later': {'2018-04-02': 68.63999938964844}, '6_months_later': {'2018-07-02': 66.41999816894531}, '12_months_later': {'2019-01-02': 53.34999847412109}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TSM
|
{'date': '2018-01-02', 'ticker': 'TSM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/18/01/10971239/taiwan-semiconductor-lands-short-lead-time-hpc-chip-orders-from-china-digitimes', 'news_author': None, 'news_article': None, 'news_publisher': 'Charles Gross', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Taiwan Semiconductor Lands Short Lead-time HPC Chip Orders from China -DigiTimes', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.nasdaq.com/articles/smh-tsm-txn-asml-etf-outflow-alert-2018-01-02', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Semiconductor ETF (Symbol: SMH) where we have detected an approximate $288.4 million dollar outflow -- that's a 21.8% decrease week over week (from 13,520,937 to 10,570,937). Among the largest underlying components of SMH, in trading today Taiwan Semiconductor Manufacturing Co., Ltd. (Symbol: TSM) is up about 2.7%, Texas Instruments Inc. (Symbol: TXN) is up about 0.6%, and ASML Holding NV (Symbol: ASML) is higher by about 1.3%. For a complete list of holdings, visit the SMH Holdings page » The chart below shows the one year price performance of SMH, versus its 200 day moving average:\nLooking at the chart above, SMH's low point in its 52 week range is $71.32 per share, with $105.83 as the 52 week high point - that compares with a last trade of $99.50. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average » .\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs experienced notable outflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Among the largest underlying components of SMH, in trading today Taiwan Semiconductor Manufacturing Co., Ltd. (Symbol: TSM) is up about 2.7%, Texas Instruments Inc. (Symbol: TXN) is up about 0.6%, and ASML Holding NV (Symbol: ASML) is higher by about 1.3%. For a complete list of holdings, visit the SMH Holdings page » The chart below shows the one year price performance of SMH, versus its 200 day moving average: Looking at the chart above, SMH's low point in its 52 week range is $71.32 per share, with $105.83 as the 52 week high point - that compares with a last trade of $99.50. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "Among the largest underlying components of SMH, in trading today Taiwan Semiconductor Manufacturing Co., Ltd. (Symbol: TSM) is up about 2.7%, Texas Instruments Inc. (Symbol: TXN) is up about 0.6%, and ASML Holding NV (Symbol: ASML) is higher by about 1.3%. For a complete list of holdings, visit the SMH Holdings page » The chart below shows the one year price performance of SMH, versus its 200 day moving average: Looking at the chart above, SMH's low point in its 52 week range is $71.32 per share, with $105.83 as the 52 week high point - that compares with a last trade of $99.50. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed).", 'news_article_title': 'SMH, TSM, TXN, ASML: ETF Outflow Alert', 'news_lexrank_summary': "Among the largest underlying components of SMH, in trading today Taiwan Semiconductor Manufacturing Co., Ltd. (Symbol: TSM) is up about 2.7%, Texas Instruments Inc. (Symbol: TXN) is up about 0.6%, and ASML Holding NV (Symbol: ASML) is higher by about 1.3%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Semiconductor ETF (Symbol: SMH) where we have detected an approximate $288.4 million dollar outflow -- that's a 21.8% decrease week over week (from 13,520,937 to 10,570,937). For a complete list of holdings, visit the SMH Holdings page » The chart below shows the one year price performance of SMH, versus its 200 day moving average: Looking at the chart above, SMH's low point in its 52 week range is $71.32 per share, with $105.83 as the 52 week high point - that compares with a last trade of $99.50.", 'news_textrank_summary': "Among the largest underlying components of SMH, in trading today Taiwan Semiconductor Manufacturing Co., Ltd. (Symbol: TSM) is up about 2.7%, Texas Instruments Inc. (Symbol: TXN) is up about 0.6%, and ASML Holding NV (Symbol: ASML) is higher by about 1.3%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the Semiconductor ETF (Symbol: SMH) where we have detected an approximate $288.4 million dollar outflow -- that's a 21.8% decrease week over week (from 13,520,937 to 10,570,937). For a complete list of holdings, visit the SMH Holdings page » The chart below shows the one year price performance of SMH, versus its 200 day moving average: Looking at the chart above, SMH's low point in its 52 week range is $71.32 per share, with $105.83 as the 52 week high point - that compares with a last trade of $99.50."}, {'news_url': 'https://www.nasdaq.com/articles/why-you-should-watch-nvidia-intel-other-chip-stocks-wednesday-2018-01-02', 'news_author': None, 'news_article': "Nvidia ( NVDA ) and Intel ( INTC ) continued to rise in extended trading, signaling tests of key levels in Wednesday's session. The broader chip sector made significant gains in Tuesday's stock market trading. That's a good sign for the market rally, because chips are usually key drivers of the S&P 500 index and Nasdaq composite.\n[ibd-display-video id=3059014 width=50 float=left autostart=true] Intel climbed 0.9% to 47.28 in late trading after closing up 1.5% to 42.89 on Tuesday. Intel is approaching a 47.40 cup-base buy point after briefly breaking out in late December.\nNvidia, which has boomed as its chips have expanded from PC gaming to autonomous driving and artificial intelligence, closed 3% higher to 199.32, just below its 50-day line. After the close, Nvidia advanced 2% to 203.40, suggesting a move above that key support.\nKeep in mind that extended trading does not always translate to how stocks will act in the next regular session.\nHowever, Nvidia would be joining a club. After weeks of most chipmakers and especially chip-equipment makers stuck below their 50-day lines, the Philadelphia Semiconductor index and 12 chip stocks regained their 50-day line on Tuesday. That includes Broadcom ( AVGO ), Taiwan Semiconductor ( TSM ) and Teradyne ( TER ).\nStrong November chip sales figures from the Semiconductor Industry Association were a catalyst for Tuesday's gains.\nNvidia, Broadcom, Taiwan Semiconductor and Teradyne are all in flat bases .\nYOU MIGHT ALSO BE INTERESTED IN:\nNvidia, Other Chip Winners Seen Repeating Successes In 2018\nWhy Netflix Entered A Buy Area But Not Apple, Facebook\nThe Big Picture: Institutional Investors Are Accumulating Stocks Again\nTwo FANG Stocks And A Top Growth Name Sketch New Buy Points\nHow To Invest In The Stock Market: Start With A Simple Routine\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nSponsored Links\nLook For Any High School Yearbook, It's Free\nClassmates\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': "That includes Broadcom ( AVGO ), Taiwan Semiconductor ( TSM ) and Teradyne ( TER ). Nvidia ( NVDA ) and Intel ( INTC ) continued to rise in extended trading, signaling tests of key levels in Wednesday's session. Nvidia, which has boomed as its chips have expanded from PC gaming to autonomous driving and artificial intelligence, closed 3% higher to 199.32, just below its 50-day line.", 'news_luhn_summary': 'That includes Broadcom ( AVGO ), Taiwan Semiconductor ( TSM ) and Teradyne ( TER ). Nvidia, Broadcom, Taiwan Semiconductor and Teradyne are all in flat bases . Nvidia, Other Chip Winners Seen Repeating Successes In 2018 Why Netflix Entered A Buy Area But Not Apple, Facebook The Big Picture: Institutional Investors Are Accumulating Stocks Again Two FANG Stocks And A Top Growth Name Sketch New Buy Points How To Invest In The Stock Market: Start With A Simple Routine 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': 'Why You Should Watch Nvidia, Intel, Other Chip Stocks Wednesday', 'news_lexrank_summary': "That includes Broadcom ( AVGO ), Taiwan Semiconductor ( TSM ) and Teradyne ( TER ). Nvidia ( NVDA ) and Intel ( INTC ) continued to rise in extended trading, signaling tests of key levels in Wednesday's session. [ibd-display-video id=3059014 width=50 float=left autostart=true] Intel climbed 0.9% to 47.28 in late trading after closing up 1.5% to 42.89 on Tuesday.", 'news_textrank_summary': "That includes Broadcom ( AVGO ), Taiwan Semiconductor ( TSM ) and Teradyne ( TER ). Nvidia ( NVDA ) and Intel ( INTC ) continued to rise in extended trading, signaling tests of key levels in Wednesday's session. After weeks of most chipmakers and especially chip-equipment makers stuck below their 50-day lines, the Philadelphia Semiconductor index and 12 chip stocks regained their 50-day line on Tuesday."}, {'news_url': 'https://seekingalpha.com/article/4134813-long-will-sideway-movement-memory-stocks-last?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'How Long Will The Sideway Movement In Memory Stocks Last?', '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': 40.41999816894531, 'high': 41.04999923706055, 'open': 40.5099983215332, 'close': 41.02000045776367, 'ema_50': 39.93388312761015, 'rsi_14': 70.17118585893263, 'target': 41.709999084472656, 'volume': 4984000.0, 'ema_200': 37.15346914896722, 'adj_close': 37.15560150146485, 'rsi_lag_1': 60.517836508547944, 'rsi_lag_2': 62.12632374038726, 'rsi_lag_3': 57.46273543009411, 'rsi_lag_4': 45.92832823877331, 'rsi_lag_5': 54.651212649465, 'macd_lag_1': -0.31289182517898695, 'macd_lag_2': -0.35770583099798614, 'macd_lag_3': -0.4188654564195815, 'macd_lag_4': -0.4236348054005319, 'macd_lag_5': -0.41032379581322687, 'macd_12_26_9': -0.16492775397181703, 'macds_12_26_9': -0.3593703685358783}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 41.709999084472656, '2018-01-04': 41.4900016784668, '2018-01-05': 42.459999084472656, '2018-01-08': 42.43999862670898, '2018-01-09': 42.18000030517578, '2018-01-10': 41.29999923706055, '2018-01-11': 41.02999877929688, '2018-01-12': 41.18999862670898, '2018-01-16': 42.22999954223633}, '1_month_later': {'2018-02-02': 44.5099983215332}, '3_months_later': {'2018-04-02': 42.5}, '6_months_later': {'2018-07-02': 36.540000915527344}, '12_months_later': {'2019-01-02': 36.52000045776367}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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TSLX
|
{'date': '2018-01-02', 'ticker': 'TSLX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/article/4134775-10-percent-high-yield-portfolio-2017-final-results-bdc-mreit-50-50-allocation?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '10% High-Yield Portfolio 2017 Final Results (BDC And mREIT), 50/50 Allocation', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.68000030517578, 'high': 19.940000534057614, 'open': 19.940000534057614, 'close': 19.8799991607666, 'ema_50': 20.35648187468415, 'rsi_14': 22.289119941354826, 'target': 19.8799991607666, 'volume': 287200.0, 'ema_200': 20.240877958514925, 'adj_close': 15.313864707946776, 'rsi_lag_1': 29.891218715273823, 'rsi_lag_2': 32.93408317895573, 'rsi_lag_3': 32.12114136164374, 'rsi_lag_4': 39.87727405167651, 'rsi_lag_5': 41.77212439323828, 'macd_lag_1': -0.16850510638701266, 'macd_lag_2': -0.15398254026191793, 'macd_lag_3': -0.1576432534477945, 'macd_lag_4': -0.14169535806426126, 'macd_lag_5': -0.13353350423982135, 'macd_12_26_9': -0.17158113885163573, 'macds_12_26_9': -0.13474036417226656}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 19.8799991607666, '2018-01-04': 19.850000381469727, '2018-01-05': 20.01000022888184, '2018-01-08': 20.0, '2018-01-09': 19.950000762939453, '2018-01-10': 19.799999237060547, '2018-01-11': 20.01000022888184, '2018-01-12': 20.059999465942383, '2018-01-16': 20.049999237060547}, '1_month_later': {'2018-02-02': 19.14999961853028}, '3_months_later': {'2018-04-02': 17.829999923706055}, '6_months_later': {'2018-07-02': 18.040000915527344}, '12_months_later': {'2019-01-02': 18.440000534057614}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TTC
|
{'date': '2018-01-02', 'ticker': 'TTC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 64.95999908447266, 'high': 65.66000366210938, 'open': 65.31999969482422, 'close': 65.41000366210938, 'ema_50': 64.21376339576402, 'rsi_14': 51.91148703621264, 'target': 65.43000030517578, 'volume': 410000.0, 'ema_200': 63.192158554546864, 'adj_close': 63.20034408569336, 'rsi_lag_1': 43.63640903428779, 'rsi_lag_2': 49.21742522549776, 'rsi_lag_3': 58.40454632893068, 'rsi_lag_4': 46.816472979524505, 'rsi_lag_5': 43.25261616549161, 'macd_lag_1': 0.42876085146062337, 'macd_lag_2': 0.44231076086109056, 'macd_lag_3': 0.4348444576291257, 'macd_lag_4': 0.436299410678501, 'macd_lag_5': 0.4674464948712824, 'macd_12_26_9': 0.42761766073111573, 'macds_12_26_9': 0.4645617004918582}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 65.43000030517578, '2018-01-04': 65.69999694824219, '2018-01-05': 66.66999816894531, '2018-01-08': 66.0999984741211, '2018-01-09': 66.16999816894531, '2018-01-10': 66.36000061035156, '2018-01-11': 67.1500015258789, '2018-01-12': 66.9800033569336, '2018-01-16': 66.12999725341797}, '1_month_later': {'2018-02-02': 64.81999969482422}, '3_months_later': {'2018-04-02': 60.7599983215332}, '6_months_later': {'2018-07-02': 60.900001525878906}, '12_months_later': {'2019-01-02': 55.2599983215332}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
TRNS
|
{'date': '2018-01-02', 'ticker': 'TRNS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.0, 'high': 14.449999809265137, 'open': 14.25, 'close': 14.100000381469728, 'ema_50': 13.462172715088505, 'rsi_14': 56.79759570310593, 'target': 14.050000190734863, 'volume': 44900.0, 'ema_200': 12.788229257068878, 'adj_close': 14.100000381469728, 'rsi_lag_1': 60.124607537653795, 'rsi_lag_2': 48.51189851084833, 'rsi_lag_3': 50.75529022973189, 'rsi_lag_4': 53.7764356546327, 'rsi_lag_5': 59.53080327090824, 'macd_lag_1': 0.19506006746335203, 'macd_lag_2': 0.161926110128082, 'macd_lag_3': 0.147825316947662, 'macd_lag_4': 0.11749553383758737, 'macd_lag_5': 0.06689291570937606, 'macd_12_26_9': 0.20683103235935718, 'macds_12_26_9': 0.1355353283117126}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 14.050000190734863, '2018-01-04': 13.5, '2018-01-05': 13.550000190734863, '2018-01-08': 13.600000381469728, '2018-01-09': 13.75, '2018-01-10': 13.649999618530272, '2018-01-11': 14.050000190734863, '2018-01-12': 13.850000381469728, '2018-01-16': 14.0}, '1_month_later': {'2018-02-02': 15.75}, '3_months_later': {'2018-04-02': 15.449999809265137}, '6_months_later': {'2018-07-02': 19.450000762939453}, '12_months_later': {'2019-01-02': 19.46999931335449}}
|
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.
|
TRN
|
{'date': '2018-01-02', 'ticker': 'TRN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 26.88264846801757, 'high': 27.27141761779785, 'open': 27.048236846923828, 'close': 27.17062568664551, 'ema_50': 25.319400007788463, 'rsi_14': 67.5090083520036, 'target': 27.055435180664062, 'volume': 1988000.0, 'ema_200': 22.26437444070743, 'adj_close': 25.256202697753903, 'rsi_lag_1': 63.95561118603593, 'rsi_lag_2': 68.51483164328732, 'rsi_lag_3': 69.00581865843958, 'rsi_lag_4': 63.148463403583385, 'rsi_lag_5': 61.71002234673197, 'macd_lag_1': 0.6228928438739807, 'macd_lag_2': 0.6497914360895223, 'macd_lag_3': 0.6438849557495132, 'macd_lag_4': 0.6511706308880925, 'macd_lag_5': 0.6517311501419663, 'macd_12_26_9': 0.6108007182607693, 'macds_12_26_9': 0.6334892955591875}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
|
{'next_10_days': {'2018-01-03': 27.055435180664062, '2018-01-04': 26.637868881225582, '2018-01-05': 26.342693328857425, '2018-01-08': 26.4362850189209, '2018-01-09': 26.349891662597656, '2018-01-10': 26.16270637512207, '2018-01-11': 26.50827980041504, '2018-01-12': 26.7458610534668, '2018-01-16': 25.99711990356445}, '1_month_later': {'2018-02-02': 24.182865142822266}, '3_months_later': {'2018-04-02': 22.807775497436523}, '6_months_later': {'2018-07-02': 25.06839370727539}, '12_months_later': {'2019-01-02': 20.89999961853028}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
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