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stock_2018

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ticker
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PFF
{'date': '2018-01-02', 'ticker': 'PFF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320744-todays-preferred-stock-funds-performance?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Today's preferred stock funds performance", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.83000183105469, 'high': 38.18999862670898, 'open': 38.13999938964844, 'close': 37.86000061035156, 'ema_50': 38.36337443936545, 'rsi_14': 19.047705548753683, 'target': 37.93000030517578, 'volume': 5148300.0, 'ema_200': 38.60209795120293, 'adj_close': 32.999305725097656, 'rsi_lag_1': 22.988520866766635, 'rsi_lag_2': 23.255886162417283, 'rsi_lag_3': 31.460852346030364, 'rsi_lag_4': 29.069746810737925, 'rsi_lag_5': 30.487816224564796, 'macd_lag_1': -0.09638272510902368, 'macd_lag_2': -0.0911704057497218, 'macd_lag_3': -0.08420987519096457, 'macd_lag_4': -0.0791916675939035, 'macd_lag_5': -0.0655255003608275, 'macd_12_26_9': -0.11612013618767492, 'macds_12_26_9': -0.0761193025683002}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 37.93000030517578, '2018-01-04': 37.959999084472656, '2018-01-05': 37.970001220703125, '2018-01-08': 38.040000915527344, '2018-01-09': 38.13999938964844, '2018-01-10': 38.06999969482422, '2018-01-11': 38.18999862670898, '2018-01-12': 38.119998931884766, '2018-01-16': 38.02000045776367}, '1_month_later': {'2018-02-02': 36.970001220703125}, '3_months_later': {'2018-04-02': 37.27999877929688}, '6_months_later': {'2018-07-02': 37.90999984741211}, '12_months_later': {'2019-01-02': 34.54999923706055}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFE
{'date': '2018-01-02', 'ticker': 'PFE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 36.2400016784668, 'high': 36.52000045776367, 'open': 36.380001068115234, 'close': 36.43999862670898, 'ema_50': 35.95199195566493, 'rsi_14': 53.820592533074354, 'target': 36.709999084472656, 'volume': 16185800.0, 'ema_200': 34.70948511698802, 'adj_close': 33.24916076660156, 'rsi_lag_1': 57.361959959699924, 'rsi_lag_2': 62.98504981307996, 'rsi_lag_3': 61.42431689318982, 'rsi_lag_4': 58.73490065137036, 'rsi_lag_5': 51.086928353223975, 'macd_lag_1': 0.1461215560998923, 'macd_lag_2': 0.17020790632617633, 'macd_lag_3': 0.18320260229361907, 'macd_lag_4': 0.20119622665230708, 'macd_lag_5': 0.23345460537082374, 'macd_12_26_9': 0.14313493168828728, 'macds_12_26_9': 0.19004225505401004}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 36.709999084472656, '2018-01-04': 36.790000915527344, '2018-01-05': 36.86000061035156, '2018-01-08': 36.45000076293945, '2018-01-09': 36.40999984741211, '2018-01-10': 36.470001220703125, '2018-01-11': 36.560001373291016, '2018-01-12': 36.540000915527344, '2018-01-16': 36.59999847412109}, '1_month_later': {'2018-02-02': 36.61000061035156}, '3_months_later': {'2018-04-02': 35.04999923706055}, '6_months_later': {'2018-07-02': 36.33000183105469}, '12_months_later': {'2019-01-02': 43.25}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFD
{'date': '2018-01-02', 'ticker': 'PFD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320744-todays-preferred-stock-funds-performance?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Today's preferred stock funds performance", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.960000038146973, 'high': 15.039999961853027, 'open': 15.0, 'close': 14.979999542236328, 'ema_50': 15.31764866326901, 'rsi_14': 32.38634208510025, 'target': 14.890000343322754, 'volume': 30700.0, 'ema_200': 15.117494472594663, 'adj_close': 12.809615135192873, 'rsi_lag_1': 32.203381611537665, 'rsi_lag_2': 30.645166252211183, 'rsi_lag_3': 32.02245956929278, 'rsi_lag_4': 47.39130705200635, 'rsi_lag_5': 43.77511055346051, 'macd_lag_1': -0.10116568270362158, 'macd_lag_2': -0.08299194783377928, 'macd_lag_3': -0.06266131839420197, 'macd_lag_4': -0.04496415971315315, 'macd_lag_5': -0.010522160720922713, 'macd_12_26_9': -0.11425147859647566, 'macds_12_26_9': -0.04218222810899799}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.890000343322754, '2018-01-04': 14.949999809265137, '2018-01-05': 14.90999984741211, '2018-01-08': 14.869999885559082, '2018-01-09': 14.869999885559082, '2018-01-10': 14.75, '2018-01-11': 14.829999923706056, '2018-01-12': 14.600000381469728, '2018-01-16': 14.380000114440918}, '1_month_later': {'2018-02-02': 13.56999969482422}, '3_months_later': {'2018-04-02': 13.510000228881836}, '6_months_later': {'2018-07-02': 13.59000015258789}, '12_months_later': {'2019-01-02': 11.84000015258789}}
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.
PFBI
{'date': '2018-01-02', 'ticker': 'PFBI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.824000358581545, 'high': 16.408000946044922, 'open': 16.176000595092773, 'close': 16.15999984741211, 'ema_50': 15.996168272248658, 'rsi_14': 59.13705798774747, 'target': 16.327999114990234, 'volume': 28100.0, 'ema_200': 15.83577093531698, 'adj_close': 14.700606346130373, 'rsi_lag_1': 60.24690747533547, 'rsi_lag_2': 58.50515242197629, 'rsi_lag_3': 63.657958253530126, 'rsi_lag_4': 61.3272442926155, 'rsi_lag_5': 61.60920504110118, 'macd_lag_1': 0.12006005298696465, 'macd_lag_2': 0.14017852620453652, 'macd_lag_3': 0.18092343342904016, 'macd_lag_4': 0.22378076095809973, 'macd_lag_5': 0.2695254120560051, 'macd_12_26_9': 0.11058768390448037, 'macds_12_26_9': 0.14889670313570044}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.327999114990234, '2018-01-04': 16.479999542236328, '2018-01-05': 16.375999450683594, '2018-01-08': 16.02400016784668, '2018-01-09': 15.928000450134276, '2018-01-10': 16.143999099731445, '2018-01-11': 16.552000045776367, '2018-01-12': 16.775999069213867, '2018-01-16': 16.31999969482422}, '1_month_later': {'2018-02-02': 14.86400032043457}, '3_months_later': {'2018-04-02': 15.064000129699709}, '6_months_later': {'2018-07-02': 19.200000762939453}, '12_months_later': {'2019-01-02': 15.350000381469728}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFBC
{'date': '2018-01-02', 'ticker': 'PFBC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 57.79999923706055, 'high': 59.27000045776367, 'open': 59.27000045776367, 'close': 58.33000183105469, 'ema_50': 60.48962652093286, 'rsi_14': 29.81896226372939, 'target': 58.619998931884766, 'volume': 57800.0, 'ema_200': 55.82868949145365, 'adj_close': 55.2305908203125, 'rsi_lag_1': 29.16666335529702, 'rsi_lag_2': 31.63841491327061, 'rsi_lag_3': 30.45975449125949, 'rsi_lag_4': 27.95357495239675, 'rsi_lag_5': 24.882621876961068, 'macd_lag_1': -0.36850031789695237, 'macd_lag_2': -0.20131634571428947, 'macd_lag_3': -0.1601279622987164, 'macd_lag_4': -0.0645000453799085, 'macd_lag_5': 0.04627567140453692, 'macd_12_26_9': -0.5311826701175377, 'macds_12_26_9': -0.0992519922204924}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 58.619998931884766, '2018-01-04': 59.66999816894531, '2018-01-05': 60.0099983215332, '2018-01-08': 59.880001068115234, '2018-01-09': 61.18000030517578, '2018-01-10': 61.79999923706055, '2018-01-11': 63.20000076293945, '2018-01-12': 63.400001525878906, '2018-01-16': 64.55000305175781}, '1_month_later': {'2018-02-02': 63.68999862670898}, '3_months_later': {'2018-04-02': 63.880001068115234}, '6_months_later': {'2018-07-02': 66.0999984741211}, '12_months_later': {'2019-01-02': 43.97999954223633}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEZ
{'date': '2018-01-02', 'ticker': 'PEZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.20000076293945, 'high': 50.52000045776367, 'open': 50.4900016784668, 'close': 50.4900016784668, 'ema_50': 49.29311851612529, 'rsi_14': 55.555591782438846, 'target': 50.93999862670898, 'volume': 9800.0, 'ema_200': 46.712663374894, 'adj_close': 50.10116958618164, 'rsi_lag_1': 55.681784931297635, 'rsi_lag_2': 62.57866312867533, 'rsi_lag_3': 66.0000392368861, 'rsi_lag_4': 63.28768239993484, 'rsi_lag_5': 64.73683100988113, 'macd_lag_1': 0.40105783999101874, 'macd_lag_2': 0.43601404619364104, 'macd_lag_3': 0.43661584724110725, 'macd_lag_4': 0.456487733709082, 'macd_lag_5': 0.47012083399173576, 'macd_12_26_9': 0.3858524072590228, 'macds_12_26_9': 0.42926306638636236}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 50.93999862670898, '2018-01-04': 51.09999847412109, '2018-01-05': 51.65999984741211, '2018-01-08': 51.720001220703125, '2018-01-09': 51.65999984741211, '2018-01-10': 51.4900016784668, '2018-01-11': 52.54999923706055, '2018-01-12': 52.91999816894531, '2018-01-16': 51.900001525878906}, '1_month_later': {'2018-02-02': 50.38999938964844}, '3_months_later': {'2018-04-02': 47.47999954223633}, '6_months_later': {'2018-07-02': 54.720001220703125}, '12_months_later': {'2019-01-02': 46.83000183105469}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PDP
{'date': '2018-01-02', 'ticker': 'PDP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 51.66999816894531, 'high': 51.880001068115234, 'open': 51.79999923706055, 'close': 51.869998931884766, 'ema_50': 50.99527927094469, 'rsi_14': 62.77060065956432, 'target': 52.290000915527344, 'volume': 298200.0, 'ema_200': 48.394675167061614, 'adj_close': 51.57174301147461, 'rsi_lag_1': 57.34601526242801, 'rsi_lag_2': 68.22910457843568, 'rsi_lag_3': 71.62789872429502, 'rsi_lag_4': 69.1541249928828, 'rsi_lag_5': 65.87684836826529, 'macd_lag_1': 0.20870579750511098, 'macd_lag_2': 0.2250703054135741, 'macd_lag_3': 0.21315664079892116, 'macd_lag_4': 0.21215891675357312, 'macd_lag_5': 0.22307239281786906, 'macd_12_26_9': 0.2126513169373041, 'macds_12_26_9': 0.2155544539205422}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 52.290000915527344, '2018-01-04': 52.54999923706055, '2018-01-05': 52.93999862670898, '2018-01-08': 53.09999847412109, '2018-01-09': 53.36000061035156, '2018-01-10': 53.02999877929688, '2018-01-11': 53.470001220703125, '2018-01-12': 53.720001220703125, '2018-01-16': 53.540000915527344}, '1_month_later': {'2018-02-02': 54.0}, '3_months_later': {'2018-04-02': 51.25}, '6_months_later': {'2018-07-02': 55.54999923706055}, '12_months_later': {'2019-01-02': 47.88999938964844}}
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.
LSI
{'date': '2018-01-02', 'ticker': 'LSI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 88.1500015258789, 'high': 89.26000213623047, 'open': 88.9800033569336, 'close': 88.55999755859375, 'ema_50': 87.42208088666602, 'rsi_14': 33.673444562842604, 'target': 89.37000274658203, 'volume': 272100.0, 'ema_200': 83.11823901758005, 'adj_close': 88.55999755859375, 'rsi_lag_1': 43.28899614932571, 'rsi_lag_2': 49.594439645988906, 'rsi_lag_3': 50.11707635200629, 'rsi_lag_4': 45.255482582336185, 'rsi_lag_5': 38.733260167958136, 'macd_lag_1': 0.3082282735582993, 'macd_lag_2': 0.3569499137049945, 'macd_lag_3': 0.3793258589874853, 'macd_lag_4': 0.35044152141222185, 'macd_lag_5': 0.36549520528876656, 'macd_12_26_9': 0.22585954435878364, 'macds_12_26_9': 0.49625397924110737}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 89.37000274658203, '2018-01-04': 87.45999908447266, '2018-01-05': 86.41999816894531, '2018-01-08': 86.98999786376953, '2018-01-09': 85.5, '2018-01-10': 84.56999969482422, '2018-01-11': 85.0, '2018-01-12': 83.91999816894531, '2018-01-16': 84.33999633789062}, '1_month_later': {'2018-02-02': 80.58000183105469}, '3_months_later': {'2018-04-02': 83.5199966430664}, '6_months_later': {'2018-07-02': 97.0}, '12_months_later': {'2019-01-02': 90.23999786376952}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MYY
{'date': '2018-01-02', 'ticker': 'MYY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.47999954223633, 'high': 44.7599983215332, 'open': 44.7599983215332, 'close': 44.47999954223633, 'ema_50': 45.79938788857654, 'rsi_14': 33.89821193615859, 'target': 44.400001525878906, 'volume': 9100.0, 'ema_200': 48.48797596487094, 'adj_close': 43.67942810058594, 'rsi_lag_1': 41.509400011516085, 'rsi_lag_2': 34.54542617163386, 'rsi_lag_3': 32.75855265105052, 'rsi_lag_4': 37.09670720808715, 'rsi_lag_5': 46.575331728200396, 'macd_lag_1': -0.34473951407950665, 'macd_lag_2': -0.36083187956604235, 'macd_lag_3': -0.3639050529287431, 'macd_lag_4': -0.37067962782546715, 'macd_lag_5': -0.3739347451980066, 'macd_12_26_9': -0.35372992117340374, 'macds_12_26_9': -0.3616930079186781}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 44.400001525878906, '2018-01-04': 44.2400016784668, '2018-01-05': 44.119998931884766, '2018-01-08': 43.880001068115234, '2018-01-09': 43.880001068115234, '2018-01-10': 44.20000076293945, '2018-01-11': 43.63999938964844, '2018-01-12': 43.43999862670898, '2018-01-16': 43.59999847412109}, '1_month_later': {'2018-02-02': 44.400001525878906}, '3_months_later': {'2018-04-02': 46.43999862670898}, '6_months_later': {'2018-07-02': 43.34000015258789}, '12_months_later': {'2019-01-02': 50.4900016784668}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LAUR
{'date': '2018-01-02', 'ticker': 'LAUR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.43000030517578, 'high': 14.755000114440918, 'open': 13.600000381469728, 'close': 14.720000267028809, 'ema_50': 13.233925559731578, 'rsi_14': 76.21950315337489, 'target': 14.68000030517578, 'volume': 696300.0, 'ema_200': 14.092784694253984, 'adj_close': 14.720000267028809, 'rsi_lag_1': 64.2201883023652, 'rsi_lag_2': 68.87965113748335, 'rsi_lag_3': 70.58821109478023, 'rsi_lag_4': 70.23808532652339, 'rsi_lag_5': 59.999993534417264, 'macd_lag_1': 0.24044559971205004, 'macd_lag_2': 0.2395320889991126, 'macd_lag_3': 0.2318274957648203, 'macd_lag_4': 0.2206580070705879, 'macd_lag_5': 0.2357738939619356, 'macd_12_26_9': 0.33095679280250323, 'macds_12_26_9': 0.22215486149141542}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.68000030517578, '2018-01-04': 14.609999656677246, '2018-01-05': 14.210000038146973, '2018-01-08': 14.59000015258789, '2018-01-09': 14.649999618530272, '2018-01-10': 14.579999923706056, '2018-01-11': 15.380000114440918, '2018-01-12': 15.670000076293944, '2018-01-16': 16.1200008392334}, '1_month_later': {'2018-02-02': 14.199999809265137}, '3_months_later': {'2018-04-02': 13.600000381469728}, '6_months_later': {'2018-07-02': 14.600000381469728}, '12_months_later': {'2019-01-02': 15.359999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LARK
{'date': '2018-01-02', 'ticker': 'LARK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.72335624694824, 'high': 25.72335624694824, 'open': 25.72335624694824, 'close': 25.72335624694824, 'ema_50': 26.117977624372788, 'rsi_14': 52.86041090827897, 'target': 25.668933868408203, 'volume': 400.0, 'ema_200': 26.371446757259136, 'adj_close': 23.89422607421875, 'rsi_lag_1': 57.17822941726986, 'rsi_lag_2': 52.86041090827888, 'rsi_lag_3': 50.0, 'rsi_lag_4': 51.75644916166565, 'rsi_lag_5': 33.333333333333485, 'macd_lag_1': -0.08639841911622526, 'macd_lag_2': -0.13380392055298884, 'macd_lag_3': -0.1932877740768646, 'macd_lag_4': -0.24331135263278014, 'macd_lag_5': -0.2897678772634613, 'macd_12_26_9': -0.09385678321602953, 'macds_12_26_9': -0.1597658026580719}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.668933868408203, '2018-01-04': 25.39682579040528, '2018-01-05': 25.39682579040528, '2018-01-08': 25.39682579040528, '2018-01-09': 25.39682579040528, '2018-01-10': 25.24263000488281, '2018-01-11': 25.39682579040528, '2018-01-12': 25.45124626159668, '2018-01-16': 26.167800903320312}, '1_month_later': {'2018-02-02': 25.94104385375977}, '3_months_later': {'2018-04-02': 26.30385398864746}, '6_months_later': {'2018-07-02': 25.62358283996582}, '12_months_later': {'2019-01-02': 23.076190948486328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LANDP
{'date': '2018-01-02', 'ticker': 'LANDP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.89999961853028, 'high': 26.0, 'open': 26.0, 'close': 25.89999961853028, 'ema_50': 25.996140406921164, 'rsi_14': 50.78371639720682, 'target': 25.934999465942383, 'volume': 800.0, 'ema_200': 25.955782230567653, 'adj_close': 22.147157669067383, 'rsi_lag_1': 42.39894657036816, 'rsi_lag_2': 54.163881681106254, 'rsi_lag_3': 48.380562112128985, 'rsi_lag_4': 45.104930548701226, 'rsi_lag_5': 49.463194446475946, 'macd_lag_1': -0.029636898415727586, 'macd_lag_2': -0.02299288180181236, 'macd_lag_3': -0.028229023283348198, 'macd_lag_4': -0.024727220279057605, 'macd_lag_5': -0.012567017243629408, 'macd_12_26_9': -0.03131377803441637, 'macds_12_26_9': -0.02526266641145651}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.934999465942383, '2018-01-04': 25.86000061035156, '2018-01-05': 25.989999771118164, '2018-01-08': 25.927000045776367, '2018-01-09': 26.018999099731445, '2018-01-10': 25.850000381469727, '2018-01-11': 25.89999961853028, '2018-01-12': 26.049999237060547, '2018-01-16': 26.069000244140625}, '3_months_later': {'2018-04-02': 25.71999931335449}, '6_months_later': {'2018-07-02': 25.51499938964844}, '12_months_later': {'2019-01-02': 25.316999435424805}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LAND
{'date': '2018-01-02', 'ticker': 'LAND', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.390000343322754, 'high': 13.670000076293944, 'open': 13.43000030517578, 'close': 13.59000015258789, 'ema_50': 13.40062599746922, 'rsi_14': 54.54546017516621, 'target': 13.579999923706056, 'volume': 53300.0, 'ema_200': 12.680704135732652, 'adj_close': 12.326287269592283, 'rsi_lag_1': 47.887345699740706, 'rsi_lag_2': 51.677855785496675, 'rsi_lag_3': 51.35134786825145, 'rsi_lag_4': 53.14685361321968, 'rsi_lag_5': 41.803301114311786, 'macd_lag_1': -0.031614464886768445, 'macd_lag_2': -0.042954377001603206, 'macd_lag_3': -0.05883975066998026, 'macd_lag_4': -0.07724120792899214, 'macd_lag_5': -0.10775019423025789, 'macd_12_26_9': -0.00960611896464414, 'macds_12_26_9': -0.05476142517693339}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.579999923706056, '2018-01-04': 13.59000015258789, '2018-01-05': 13.56999969482422, '2018-01-08': 13.770000457763672, '2018-01-09': 13.899999618530272, '2018-01-10': 13.770000457763672, '2018-01-11': 13.5600004196167, '2018-01-12': 13.390000343322754, '2018-01-16': 13.359999656677246}, '1_month_later': {'2018-02-02': 12.15999984741211}, '3_months_later': {'2018-04-02': 12.18000030517578}, '6_months_later': {'2018-07-02': 12.529999732971191}, '12_months_later': {'2019-01-02': 11.699999809265137}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LAMR
{'date': '2018-01-02', 'ticker': 'LAMR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 72.72000122070312, 'high': 74.38999938964844, 'open': 74.37000274658203, 'close': 72.83999633789062, 'ema_50': 73.90159060673689, 'rsi_14': 26.47392950258076, 'target': 72.2699966430664, 'volume': 599900.0, 'ema_200': 70.99566435614015, 'adj_close': 64.82252502441406, 'rsi_lag_1': 34.65083692186451, 'rsi_lag_2': 34.605233966472824, 'rsi_lag_3': 39.59896897951535, 'rsi_lag_4': 33.50443171245287, 'rsi_lag_5': 35.955046547910925, 'macd_lag_1': -0.12349990564149493, 'macd_lag_2': -0.06340641602552921, 'macd_lag_3': 0.014217004044667192, 'macd_lag_4': 0.09781303933139895, 'macd_lag_5': 0.25908955452240434, 'macd_12_26_9': -0.2808553265714977, 'macds_12_26_9': 0.19194494671417356}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 72.2699966430664, '2018-01-04': 71.5199966430664, '2018-01-05': 71.61000061035156, '2018-01-08': 73.23999786376953, '2018-01-09': 72.13999938964844, '2018-01-10': 71.86000061035156, '2018-01-11': 72.56999969482422, '2018-01-12': 71.43000030517578, '2018-01-16': 71.68000030517578}, '1_month_later': {'2018-02-02': 69.94999694824219}, '3_months_later': {'2018-04-02': 62.09999847412109}, '6_months_later': {'2018-07-02': 68.22000122070312}, '12_months_later': {'2019-01-02': 67.16000366210938}}
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.
LAKE
{'date': '2018-01-02', 'ticker': 'LAKE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.zacks.com/stock/news/287501/fortune-brands-fbhs-growth-potential-solid-risks-remain?cid=CS-BENZ-FT-287501', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Fortune Brands' (FBHS) Growth Potential Solid, Risks Remain", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.5, 'high': 14.699999809265137, 'open': 14.550000190734863, 'close': 14.550000190734863, 'ema_50': 14.540873662688968, 'rsi_14': 53.65855020117878, 'target': 14.350000381469728, 'volume': 13900.0, 'ema_200': 13.613767731918431, 'adj_close': 14.550000190734863, 'rsi_lag_1': 47.82609957602965, 'rsi_lag_2': 54.90196225094134, 'rsi_lag_3': 62.90323126452625, 'rsi_lag_4': 66.10169272352917, 'rsi_lag_5': 68.42105967626605, 'macd_lag_1': 0.06727285344870282, 'macd_lag_2': 0.07973571354674469, 'macd_lag_3': 0.08939213427274417, 'macd_lag_4': 0.10550791783024138, 'macd_lag_5': 0.10417924036819137, 'macd_12_26_9': 0.05674186216449506, 'macds_12_26_9': 0.054653825545332546}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.350000381469728, '2018-01-04': 14.350000381469728, '2018-01-05': 14.199999809265137, '2018-01-08': 14.449999809265137, '2018-01-09': 14.5, '2018-01-10': 14.399999618530272, '2018-01-11': 14.75, '2018-01-12': 14.399999618530272, '2018-01-16': 14.100000381469728}, '1_month_later': {'2018-02-02': 13.649999618530272}, '3_months_later': {'2018-04-02': 12.75}, '6_months_later': {'2018-07-02': 14.149999618530272}, '12_months_later': {'2019-01-02': 10.59000015258789}}
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.
LADR
{'date': '2018-01-02', 'ticker': 'LADR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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': 13.4399995803833, 'high': 13.739999771118164, 'open': 13.670000076293944, 'close': 13.510000228881836, 'ema_50': 13.654381618773378, 'rsi_14': 42.24139986369021, 'target': 13.5, 'volume': 937100.0, 'ema_200': 13.694565939397464, 'adj_close': 11.11700439453125, 'rsi_lag_1': 49.07409614988957, 'rsi_lag_2': 47.74773845946317, 'rsi_lag_3': 43.68931319691153, 'rsi_lag_4': 45.7142753341495, 'rsi_lag_5': 40.816346390580975, 'macd_lag_1': -0.007935664197761483, 'macd_lag_2': -0.0063930370571512185, 'macd_lag_3': -0.01960378267266094, 'macd_lag_4': -0.02498038701226335, 'macd_lag_5': -0.03249774331714406, 'macd_12_26_9': -0.018626480729189154, 'macds_12_26_9': -0.014637276915096416}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.5, '2018-01-04': 13.460000038146973, '2018-01-05': 13.550000190734863, '2018-01-08': 13.640000343322754, '2018-01-09': 13.510000228881836, '2018-01-10': 13.470000267028809, '2018-01-11': 13.56999969482422, '2018-01-12': 13.59000015258789, '2018-01-16': 14.619999885559082}, '1_month_later': {'2018-02-02': 14.289999961853027}, '3_months_later': {'2018-04-02': 14.880000114440918}, '6_months_later': {'2018-07-02': 15.829999923706056}, '12_months_later': {'2019-01-02': 15.529999732971191}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LAD
{'date': '2018-01-02', 'ticker': 'LAD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 113.81999969482422, 'high': 115.30999755859376, 'open': 113.9499969482422, 'close': 115.02999877929688, 'ema_50': 115.90227824703454, 'rsi_14': 34.311827104251805, 'target': 116.72000122070312, 'volume': 288900.0, 'ema_200': 106.83503021309346, 'adj_close': 112.12232971191406, 'rsi_lag_1': 33.44709846828114, 'rsi_lag_2': 33.140092238253814, 'rsi_lag_3': 35.747453681730406, 'rsi_lag_4': 39.38619115466823, 'rsi_lag_5': 34.269922342557294, 'macd_lag_1': -0.5692505557691305, 'macd_lag_2': -0.34969685942444073, 'macd_lag_3': -0.09085295018718398, 'macd_lag_4': 0.2795381299536359, 'macd_lag_5': 0.5201533169502568, 'macd_12_26_9': -0.6199063845792523, 'macds_12_26_9': 0.09708660949861261}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 116.72000122070312, '2018-01-04': 116.70999908447266, '2018-01-05': 118.80999755859376, '2018-01-08': 122.48999786376952, '2018-01-09': 120.52999877929688, '2018-01-10': 120.58000183105467, '2018-01-11': 123.01000213623048, '2018-01-12': 124.4800033569336, '2018-01-16': 121.37999725341795}, '1_month_later': {'2018-02-02': 120.27999877929688}, '3_months_later': {'2018-04-02': 96.5999984741211}, '6_months_later': {'2018-07-02': 94.97000122070312}, '12_months_later': {'2019-01-02': 78.56999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LAWS
{'date': '2018-01-02', 'ticker': 'LAWS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.75, 'high': 25.39999961853028, 'open': 24.89999961853028, 'close': 24.850000381469727, 'ema_50': 24.963334103792885, 'rsi_14': 58.620696459037354, 'target': 24.14999961853028, 'volume': 5400.0, 'ema_200': 23.73301799654072, 'adj_close': 24.850000381469727, 'rsi_lag_1': 44.44444444444436, 'rsi_lag_2': 57.7464781165042, 'rsi_lag_3': 50.70421551455497, 'rsi_lag_4': 46.7532422494657, 'rsi_lag_5': 43.90243108182165, 'macd_lag_1': -0.01861637305607644, 'macd_lag_2': 0.009697637278435423, 'macd_lag_3': -0.005213536982278555, 'macd_lag_4': 0.001284761135607937, 'macd_lag_5': 0.00956026511682495, 'macd_12_26_9': -0.03261032367892014, 'macds_12_26_9': -0.006149156051196688}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 24.14999961853028, '2018-01-04': 24.5, '2018-01-05': 24.700000762939453, '2018-01-08': 25.049999237060547, '2018-01-09': 24.100000381469727, '2018-01-10': 24.450000762939453, '2018-01-11': 24.89999961853028, '2018-01-12': 24.89999961853028, '2018-01-16': 24.299999237060547}, '1_month_later': {'2018-02-02': 23.549999237060547}, '3_months_later': {'2018-04-02': 24.350000381469727}, '6_months_later': {'2018-07-02': 24.299999237060547}, '12_months_later': {'2019-01-02': 31.950000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LAC
{'date': '2018-01-02', 'ticker': 'LAC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.800000190734863, 'high': 9.289999961853027, 'open': 8.90999984741211, 'close': 9.140000343322754, 'ema_50': 8.574462333127599, 'rsi_14': 46.34832521683366, 'target': 8.90999984741211, 'volume': 186500.0, 'ema_200': 6.214077198291971, 'adj_close': 9.140000343322754, 'rsi_lag_1': 42.04204814822561, 'rsi_lag_2': 38.14101359077649, 'rsi_lag_3': 39.49843316418322, 'rsi_lag_4': 35.39326068443266, 'rsi_lag_5': 31.421450298350194, 'macd_lag_1': -0.11334307004933564, 'macd_lag_2': -0.13351231177600198, 'macd_lag_3': -0.13287716379333503, 'macd_lag_4': -0.10162466153776073, 'macd_lag_5': -0.0633114454844339, 'macd_12_26_9': -0.07630627872446283, 'macds_12_26_9': -0.03877216868094285}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 8.90999984741211, '2018-01-04': 8.920000076293945, '2018-01-05': 9.720000267028809, '2018-01-08': 10.020000457763672, '2018-01-09': 9.899999618530272, '2018-01-10': 9.520000457763672, '2018-01-11': 8.930000305175781, '2018-01-12': 9.079999923706056, '2018-01-16': 8.869999885559082}, '1_month_later': {'2018-02-02': 6.309999942779541}, '3_months_later': {'2018-04-02': 5.119999885559082}, '6_months_later': {'2018-07-02': 5.289999961853027}, '12_months_later': {'2019-01-02': 3.240000009536743}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LABD
{'date': '2018-01-02', 'ticker': 'LABD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 42.29999923706055, 'high': 47.0, 'open': 45.4000015258789, 'close': 42.400001525878906, 'ema_50': 50.60850722256066, 'rsi_14': 33.90558150713595, 'target': 40.79999923706055, 'volume': 795300.0, 'ema_200': 91.94770848200663, 'adj_close': 41.40995407104492, 'rsi_lag_1': 44.28571272869554, 'rsi_lag_2': 33.03167889440783, 'rsi_lag_3': 27.65151712191596, 'rsi_lag_4': 31.153855916306753, 'rsi_lag_5': 37.7289394180115, 'macd_lag_1': -1.7286282343864698, 'macd_lag_2': -1.6692455613641926, 'macd_lag_3': -1.3655353778140906, 'macd_lag_4': -1.0089375016782896, 'macd_lag_5': -0.6612953810671058, 'macd_12_26_9': -2.0506101053105894, 'macds_12_26_9': -1.1648058225591444}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 40.79999923706055, '2018-01-04': 42.09999847412109, '2018-01-05': 42.59999847412109, '2018-01-08': 45.09999847412109, '2018-01-09': 41.5, '2018-01-10': 40.09999847412109, '2018-01-11': 39.20000076293945, '2018-01-12': 38.70000076293945, '2018-01-16': 42.20000076293945}, '1_month_later': {'2018-02-02': 34.400001525878906}, '3_months_later': {'2018-04-02': 41.310001373291016}, '6_months_later': {'2018-07-02': 25.020000457763672}, '12_months_later': {'2019-01-02': 41.060001373291016}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
L
{'date': '2018-01-02', 'ticker': 'L', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 49.68000030517578, 'high': 50.25, 'open': 50.2400016784668, 'close': 49.88999938964844, 'ema_50': 49.53943517858003, 'rsi_14': 47.56097986469465, 'target': 50.470001220703125, 'volume': 1104900.0, 'ema_200': 47.8811101710535, 'adj_close': 49.33096694946289, 'rsi_lag_1': 52.83579846114089, 'rsi_lag_2': 52.212353530954715, 'rsi_lag_3': 50.609768862361804, 'rsi_lag_4': 47.16414783234493, 'rsi_lag_5': 36.363645917075196, 'macd_lag_1': 0.0882761240725003, 'macd_lag_2': 0.08281888408773597, 'macd_lag_3': 0.06344876095737106, 'macd_lag_4': 0.05205703240307713, 'macd_lag_5': 0.044905492102572, 'macd_12_26_9': 0.08037770125017829, 'macds_12_26_9': 0.09263583195387791}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 50.470001220703125, '2018-01-04': 50.720001220703125, '2018-01-05': 50.619998931884766, '2018-01-08': 50.58000183105469, '2018-01-09': 51.130001068115234, '2018-01-10': 51.209999084472656, '2018-01-11': 51.5099983215332, '2018-01-12': 52.77999877929688, '2018-01-16': 52.18999862670898}, '1_month_later': {'2018-02-02': 50.81999969482422}, '3_months_later': {'2018-04-02': 48.650001525878906}, '6_months_later': {'2018-07-02': 48.290000915527344}, '12_months_later': {'2019-01-02': 45.08000183105469}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KZIA
{'date': '2018-01-02', 'ticker': 'KZIA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.2300000190734863, 'high': 3.400000095367432, 'open': 3.2300000190734863, 'close': 3.3499999046325684, 'ema_50': 2.930628384480918, 'rsi_14': 69.68085760712133, 'target': 3.25, 'volume': 1800.0, 'ema_200': 3.7188968860952007, 'adj_close': 3.3499999046325684, 'rsi_lag_1': 64.04494592719394, 'rsi_lag_2': 59.042558992757414, 'rsi_lag_3': 64.43299133778413, 'rsi_lag_4': 47.43589900340998, 'rsi_lag_5': 42.52873389971919, 'macd_lag_1': 0.015767056423864556, 'macd_lag_2': -0.014404450847051997, 'macd_lag_3': -0.049650203755379874, 'macd_lag_4': -0.10205986309927395, 'macd_lag_5': -0.11554186762414087, 'macd_12_26_9': 0.0527872607951374, 'macds_12_26_9': -0.041485282025686646}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.25, '2018-01-04': 3.130000114440918, '2018-01-05': 3.180000066757202, '2018-01-08': 3.119999885559082, '2018-01-09': 3.069999933242798, '2018-01-10': 2.970000028610229, '2018-01-11': 2.9600000381469727, '2018-01-12': 2.880000114440918, '2018-01-16': 3.130000114440918}, '1_month_later': {'2018-02-02': 4.519999980926514}, '3_months_later': {'2018-04-02': 5.610000133514404}, '6_months_later': {'2018-07-02': 3.240000009536743}, '12_months_later': {'2019-01-02': 2.450000047683716}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KYN
{'date': '2018-01-02', 'ticker': 'KYN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/4134800-cefl-yyys-2017-end-rebalancing-upon-us?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "CEFL/YYY's 2017-End Rebalancing Is Upon Us", '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': 19.100000381469727, 'high': 19.780000686645508, 'open': 19.100000381469727, 'close': 19.57999992370605, 'ema_50': 16.909389270918535, 'rsi_14': 86.72086846939608, 'target': 19.850000381469727, 'volume': 1012600.0, 'ema_200': 17.73702938395314, 'adj_close': 14.38835620880127, 'rsi_lag_1': 87.3385037116916, 'rsi_lag_2': 88.13559635137526, 'rsi_lag_3': 87.75000280141897, 'rsi_lag_4': 80.23256793932678, 'rsi_lag_5': 77.57256859537073, 'macd_lag_1': 0.7985695595674471, 'macd_lag_2': 0.7510664795239492, 'macd_lag_3': 0.68561970873494, 'macd_lag_4': 0.6175677255281009, 'macd_lag_5': 0.5278348820323622, 'macd_12_26_9': 0.868965821675058, 'macds_12_26_9': 0.6399372151909609}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.850000381469727, '2018-01-04': 19.71999931335449, '2018-01-05': 19.51000022888184, '2018-01-08': 19.350000381469727, '2018-01-09': 19.479999542236328, '2018-01-10': 19.489999771118164, '2018-01-11': 19.739999771118164, '2018-01-12': 19.959999084472656, '2018-01-16': 19.770000457763672}, '1_month_later': {'2018-02-02': 18.65999984741211}, '3_months_later': {'2018-04-02': 16.399999618530273}, '6_months_later': {'2018-07-02': 18.86000061035156}, '12_months_later': {'2019-01-02': 14.109999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KXIN
{'date': '2018-01-02', 'ticker': 'KXIN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.630000114440918, 'high': 9.670000076293944, 'open': 9.630000114440918, 'close': 9.630000114440918, 'ema_50': 9.627154377227624, 'rsi_14': 52.173985155699405, 'target': 9.630000114440918, 'volume': 251200.0, 'ema_200': 9.62912488875509, 'adj_close': 9.630000114440918, 'rsi_lag_1': 47.999938964377655, 'rsi_lag_2': 40.909031796605476, 'rsi_lag_3': 40.909031796605476, 'rsi_lag_4': 42.85714285714298, 'rsi_lag_5': 42.85714285714298, 'macd_lag_1': -0.004359095383620115, 'macd_lag_2': -0.007733725281346082, 'macd_lag_3': -0.005819453087129389, 'macd_lag_4': -0.0032914990779691067, 'macd_lag_5': -0.0030715524222113544, 'macd_12_26_9': -0.0032608803155067534, 'macds_12_26_9': -0.0036030940280358673}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.630000114440918, '2018-01-04': 9.630000114440918, '2018-01-05': 9.670000076293944, '2018-01-08': 9.649999618530272, '2018-01-09': 9.640000343322754, '2018-01-10': 9.640000343322754, '2018-01-11': 9.65999984741211, '2018-01-12': 9.65999984741211, '2018-01-16': 9.649999618530272}, '1_month_later': {'2018-02-02': 9.6899995803833}, '3_months_later': {'2018-04-02': 9.739999771118164}, '6_months_later': {'2018-07-02': 9.890000343322754}, '12_months_later': {'2019-01-02': 10.135000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KXI
{'date': '2018-01-02', 'ticker': 'KXI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.75, 'high': 52.97499847412109, 'open': 52.97499847412109, 'close': 52.75, 'ema_50': 52.29802406057719, 'rsi_14': 46.44269072684123, 'target': 52.755001068115234, 'volume': 16800.0, 'ema_200': 51.20239596514012, 'adj_close': 49.576133728027344, 'rsi_lag_1': 51.59915995503709, 'rsi_lag_2': 48.64250464753797, 'rsi_lag_3': 43.08622136873537, 'rsi_lag_4': 49.73452379023342, 'rsi_lag_5': 47.21193703051887, 'macd_lag_1': 0.23117628545205804, 'macd_lag_2': 0.24087535788981995, 'macd_lag_3': 0.26349693173908406, 'macd_lag_4': 0.2854827937838067, 'macd_lag_5': 0.3124470811816238, 'macd_12_26_9': 0.20339285456351774, 'macds_12_26_9': 0.28881775154453493}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 52.755001068115234, '2018-01-04': 52.869998931884766, '2018-01-05': 53.209999084472656, '2018-01-08': 53.18999862670898, '2018-01-09': 53.08000183105469, '2018-01-10': 52.73500061035156, '2018-01-11': 52.744998931884766, '2018-01-12': 52.95000076293945, '2018-01-16': 53.18999862670898}, '1_month_later': {'2018-02-02': 52.834999084472656}, '3_months_later': {'2018-04-02': 49.334999084472656}, '6_months_later': {'2018-07-02': 48.91999816894531}, '12_months_later': {'2019-01-02': 45.81999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KWR
{'date': '2018-01-02', 'ticker': 'KWR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 150.00999450683594, 'high': 152.89999389648438, 'open': 151.1300048828125, 'close': 151.57000732421875, 'ema_50': 153.4213575192227, 'rsi_14': 45.625886929002554, 'target': 151.4499969482422, 'volume': 57100.0, 'ema_200': 144.155602569926, 'adj_close': 148.65573120117188, 'rsi_lag_1': 41.208754932116264, 'rsi_lag_2': 39.94672632018457, 'rsi_lag_3': 33.225591364334875, 'rsi_lag_4': 33.70491403048156, 'rsi_lag_5': 29.81437211076603, 'macd_lag_1': -1.5545914049075122, 'macd_lag_2': -1.566680012485591, 'macd_lag_3': -1.666230800337189, 'macd_lag_4': -1.6814940230452464, 'macd_lag_5': -1.7457545221227235, 'macd_12_26_9': -1.465180790178124, 'macds_12_26_9': -1.5070010647960355}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 151.4499969482422, '2018-01-04': 151.5500030517578, '2018-01-05': 152.97000122070312, '2018-01-08': 153.0, '2018-01-09': 151.19000244140625, '2018-01-10': 152.47000122070312, '2018-01-11': 156.89999389648438, '2018-01-12': 155.5399932861328, '2018-01-16': 153.4499969482422}, '1_month_later': {'2018-02-02': 148.77999877929688}, '3_months_later': {'2018-04-02': 146.8300018310547}, '6_months_later': {'2018-07-02': 155.3699951171875}, '12_months_later': {'2019-01-02': 178.2899932861328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KWEB
{'date': '2018-01-02', 'ticker': 'KWEB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320529-asian-shares-start-year-right-foot?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Asian shares start year on right foot', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 59.27999877929688, 'high': 61.36999893188477, 'open': 59.27999877929688, 'close': 61.31999969482422, 'ema_50': 57.86908312845348, 'rsi_14': 68.48957531361137, 'target': 61.68999862670898, 'volume': 780100.0, 'ema_200': 52.92832217031835, 'adj_close': 59.21781539916992, 'rsi_lag_1': 63.916495302348736, 'rsi_lag_2': 65.22988295751502, 'rsi_lag_3': 68.33332391433035, 'rsi_lag_4': 67.14015609906926, 'rsi_lag_5': 68.63501911039714, 'macd_lag_1': 0.278433600849219, 'macd_lag_2': 0.2587841946539058, 'macd_lag_3': 0.23401309385970848, 'macd_lag_4': 0.17761060978902066, 'macd_lag_5': 0.132564080608212, 'macd_12_26_9': 0.5068376654234257, 'macds_12_26_9': 0.14849571973819756}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 61.68999862670898, '2018-01-04': 62.27999877929688, '2018-01-05': 63.38999938964844, '2018-01-08': 64.15000152587889, '2018-01-09': 64.23000335693361, '2018-01-10': 63.34000015258789, '2018-01-11': 63.6500015258789, '2018-01-12': 64.08000183105469, '2018-01-16': 63.7400016784668}, '1_month_later': {'2018-02-02': 62.52000045776367}, '3_months_later': {'2018-04-02': 59.81999969482422}, '6_months_later': {'2018-07-02': 59.09000015258789}, '12_months_later': {'2019-01-02': 37.52999877929688}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KW
{'date': '2018-01-02', 'ticker': 'KW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.399999618530273, 'high': 18.0, 'open': 17.549999237060547, 'close': 17.899999618530273, 'ema_50': 18.435645016631906, 'rsi_14': 46.808519272740256, 'target': 17.75, 'volume': 1889200.0, 'ema_200': 19.399952968514818, 'adj_close': 16.00659942626953, 'rsi_lag_1': 26.829309140102595, 'rsi_lag_2': 25.00002167438997, 'rsi_lag_3': 24.44447458523679, 'rsi_lag_4': 15.686264243410676, 'rsi_lag_5': 14.545440673828125, 'macd_lag_1': -0.4416936902979316, 'macd_lag_2': -0.4503318524343598, 'macd_lag_3': -0.45989783839015885, 'macd_lag_4': -0.4705091175188194, 'macd_lag_5': -0.46193631671691193, 'macd_12_26_9': -0.3860177701087437, 'macds_12_26_9': -0.4085048127296239}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 17.75, '2018-01-04': 17.700000762939453, '2018-01-05': 17.950000762939453, '2018-01-08': 17.75, '2018-01-09': 17.75, '2018-01-10': 17.75, '2018-01-11': 17.75, '2018-01-12': 17.649999618530273, '2018-01-16': 17.450000762939453}, '1_month_later': {'2018-02-02': 17.549999237060547}, '3_months_later': {'2018-04-02': 17.5}, '6_months_later': {'2018-07-02': 21.299999237060547}, '12_months_later': {'2019-01-02': 18.26000022888184}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LABU
{'date': '2018-01-02', 'ticker': 'LABU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 76.21099853515625, 'high': 84.0999984741211, 'open': 78.2699966430664, 'close': 84.08999633789062, 'ema_50': 74.39130320108734, 'rsi_14': 65.04936401619972, 'target': 87.20999908447266, 'volume': 1217600.0, 'ema_200': 66.61691950065624, 'adj_close': 84.08999633789062, 'rsi_lag_1': 53.41378480744923, 'rsi_lag_2': 66.04069010805324, 'rsi_lag_3': 70.2902533640264, 'rsi_lag_4': 66.74113548687842, 'rsi_lag_5': 60.2647206419244, 'macd_lag_1': 1.644283433705084, 'macd_lag_2': 1.5539620019197145, 'macd_lag_3': 1.0271305036673084, 'macd_lag_4': 0.44768888090135306, 'macd_lag_5': -0.11818255722791093, 'macd_12_26_9': 2.1940874228552047, 'macds_12_26_9': 0.7586689816524429}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 87.20999908447266, '2018-01-04': 84.54000091552734, '2018-01-05': 83.56999969482422, '2018-01-08': 78.4000015258789, '2018-01-09': 84.37999725341797, '2018-01-10': 87.80000305175781, '2018-01-11': 89.30000305175781, '2018-01-12': 90.70999908447266, '2018-01-16': 82.41000366210938}, '1_month_later': {'2018-02-02': 95.54000091552734}, '3_months_later': {'2018-04-02': 68.88999938964844}, '6_months_later': {'2018-07-02': 98.1500015258789}, '12_months_later': {'2019-01-02': 34.18000030517578}}
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.
KVHI
{'date': '2018-01-02', 'ticker': 'KVHI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.300000190734863, 'high': 10.649999618530272, 'open': 10.399999618530272, 'close': 10.300000190734863, 'ema_50': 10.738840504191067, 'rsi_14': 52.830200901492624, 'target': 10.300000190734863, 'volume': 18600.0, 'ema_200': 10.523572699444072, 'adj_close': 10.300000190734863, 'rsi_lag_1': 55.555563404733036, 'rsi_lag_2': 56.60376611575451, 'rsi_lag_3': 59.64912809053286, 'rsi_lag_4': 60.714274766494526, 'rsi_lag_5': 55.73771260688972, 'macd_lag_1': -0.10268554114417583, 'macd_lag_2': -0.10173046142835851, 'macd_lag_3': -0.10412254801646803, 'macd_lag_4': -0.10057037915343336, 'macd_lag_5': -0.09966450951763939, 'macd_12_26_9': -0.10625223657964433, 'macds_12_26_9': -0.13252884521751948}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.300000190734863, '2018-01-04': 10.699999809265137, '2018-01-05': 10.699999809265137, '2018-01-08': 11.0, '2018-01-09': 10.800000190734863, '2018-01-10': 10.800000190734863, '2018-01-11': 11.199999809265137, '2018-01-12': 11.149999618530272, '2018-01-16': 10.899999618530272}, '1_month_later': {'2018-02-02': 11.050000190734863}, '3_months_later': {'2018-04-02': 10.050000190734863}, '6_months_later': {'2018-07-02': 13.800000190734863}, '12_months_later': {'2019-01-02': 10.359999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LDUR
{'date': '2018-01-02', 'ticker': 'LDUR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 100.29000091552734, 'high': 100.3499984741211, 'open': 100.33999633789062, 'close': 100.33000183105467, 'ema_50': 100.76929611189237, 'rsi_14': 31.578771248829327, 'target': 100.38999938964844, 'volume': 11800.0, 'ema_200': 100.84683413651716, 'adj_close': 86.61434173583984, 'rsi_lag_1': 31.304111297610575, 'rsi_lag_2': 36.36329243224977, 'rsi_lag_3': 50.0, 'rsi_lag_4': 50.56193260237718, 'rsi_lag_5': 43.749940393876706, 'macd_lag_1': -0.10144014065851081, 'macd_lag_2': -0.08392688939061088, 'macd_lag_3': -0.06238965621355419, 'macd_lag_4': -0.06861063799877343, 'macd_lag_5': -0.0735168781760791, 'macd_12_26_9': -0.11480261851446016, 'macds_12_26_9': -0.08471807934138113}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 100.38999938964844, '2018-01-04': 100.26000213623048, '2018-01-05': 100.25, '2018-01-08': 100.26000213623048, '2018-01-09': 100.20999908447266, '2018-01-10': 100.20999908447266, '2018-01-11': 100.29000091552734, '2018-01-12': 100.1500015258789, '2018-01-16': 100.23999786376952}, '1_month_later': {'2018-02-02': 100.02999877929688}, '3_months_later': {'2018-04-02': 99.61000061035156}, '6_months_later': {'2018-07-02': 99.36000061035156}, '12_months_later': {'2019-01-02': 98.73999786376952}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LDP
{'date': '2018-01-02', 'ticker': 'LDP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.0, 'high': 26.14999961853028, 'open': 26.07999992370605, 'close': 26.020000457763672, 'ema_50': 26.267236900749676, 'rsi_14': 52.54243041412085, 'target': 26.100000381469727, 'volume': 103700.0, 'ema_200': 26.14950850306995, 'adj_close': 21.451066970825195, 'rsi_lag_1': 49.206332386724874, 'rsi_lag_2': 42.635654330041554, 'rsi_lag_3': 46.218488741857854, 'rsi_lag_4': 48.387141431030315, 'rsi_lag_5': 44.02987411536276, 'macd_lag_1': -0.05954443590781722, 'macd_lag_2': -0.06036930492071235, 'macd_lag_3': -0.053416797098037705, 'macd_lag_4': -0.057002175524637266, 'macd_lag_5': -0.05973128869811717, 'macd_12_26_9': -0.06220814506884054, 'macds_12_26_9': -0.062196015491435476}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.100000381469727, '2018-01-04': 26.39999961853028, '2018-01-05': 26.43000030517578, '2018-01-08': 26.21999931335449, '2018-01-09': 26.32999992370605, '2018-01-10': 26.39999961853028, '2018-01-11': 26.600000381469727, '2018-01-12': 26.489999771118164, '2018-01-16': 26.11000061035156}, '1_month_later': {'2018-02-02': 25.57999992370605}, '3_months_later': {'2018-04-02': 25.5}, '6_months_later': {'2018-07-02': 25.530000686645508}, '12_months_later': {'2019-01-02': 22.200000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LDOS
{'date': '2018-01-02', 'ticker': 'LDOS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/contracts/18/01/10975405/leidos-wins-42m-contrat-with-naval-surface-warfare-center-carderock-di', 'news_author': None, 'news_article': None, 'news_publisher': 'Hal Lindon', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Leidos Wins $42M Contrat With Naval Surface Warfare Center Carderock Division', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.nasdaq.com/articles/ldos-dividend-yield-pushes-above-2-2018-01-02', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Leidos Holdings Inc (Symbol: LDOS) were yielding above the 2% mark based on its quarterly dividend (annualized to $1.28), with the stock changing hands as low as $63.95 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return. To illustrate, suppose for example you purchased shares of the iShares Russell 3000 ETF ( IWV ) back on 5/31/2000 - you would have paid $78.27 per share. Fast forward to 5/31/2012 and each share was worth $77.79 on that date, a loss of $0.48 or 0.6% decrease over twelve years. But now consider that you collected a whopping $10.77 per share in dividends over the same period, increasing your return to 13.15%. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 2% would appear considerably attractive if that yield is sustainable. Leidos Holdings Inc (Symbol: LDOS) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.\nIn general, dividend amounts are not always predictable and tend to follow the ups and downs of profitability at each company. In the case of Leidos Holdings Inc, looking at the history chart for LDOS below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.\nAccording to the ETF Finder at ETF Channel, LDOS makes up 8.64% of the iShares MSCI ACWI ETF (Symbol: ACWI) which is trading up by about 0.7% on the day Tuesday.\nClick here to find out which 9 other dividend stocks just recently went on sale »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Leidos Holdings Inc (Symbol: LDOS) were yielding above the 2% mark based on its quarterly dividend (annualized to $1.28), with the stock changing hands as low as $63.95 on the day. Leidos Holdings Inc (Symbol: LDOS) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets. In the case of Leidos Holdings Inc, looking at the history chart for LDOS below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.', 'news_luhn_summary': 'Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Leidos Holdings Inc (Symbol: LDOS) were yielding above the 2% mark based on its quarterly dividend (annualized to $1.28), with the stock changing hands as low as $63.95 on the day. According to the ETF Finder at ETF Channel, LDOS makes up 8.64% of the iShares MSCI ACWI ETF (Symbol: ACWI) which is trading up by about 0.7% on the day Tuesday. Leidos Holdings Inc (Symbol: LDOS) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.', 'news_article_title': 'LDOS Dividend Yield Pushes Above 2%', 'news_lexrank_summary': 'Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Leidos Holdings Inc (Symbol: LDOS) were yielding above the 2% mark based on its quarterly dividend (annualized to $1.28), with the stock changing hands as low as $63.95 on the day. Leidos Holdings Inc (Symbol: LDOS) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets. In the case of Leidos Holdings Inc, looking at the history chart for LDOS below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.', 'news_textrank_summary': 'Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Leidos Holdings Inc (Symbol: LDOS) were yielding above the 2% mark based on its quarterly dividend (annualized to $1.28), with the stock changing hands as low as $63.95 on the day. Leidos Holdings Inc (Symbol: LDOS) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets. In the case of Leidos Holdings Inc, looking at the history chart for LDOS below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 63.869998931884766, 'high': 64.87000274658203, 'open': 64.69000244140625, 'close': 64.0, 'ema_50': 62.920822668085194, 'rsi_14': 46.58823677247252, 'target': 63.91999816894531, 'volume': 578100.0, 'ema_200': 57.90783677061388, 'adj_close': 61.24545669555664, 'rsi_lag_1': 55.7291697710597, 'rsi_lag_2': 68.06160294016324, 'rsi_lag_3': 70.58815791713545, 'rsi_lag_4': 63.15786923028461, 'rsi_lag_5': 66.92305773677477, 'macd_lag_1': 0.651170603355709, 'macd_lag_2': 0.7028676137550462, 'macd_lag_3': 0.7331737235555948, 'macd_lag_4': 0.7795182987944571, 'macd_lag_5': 0.8120594987546568, 'macd_12_26_9': 0.5577764388875579, 'macds_12_26_9': 0.6741957888866317}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 63.91999816894531, '2018-01-04': 64.80000305175781, '2018-01-05': 64.7300033569336, '2018-01-08': 66.37999725341797, '2018-01-09': 66.23999786376953, '2018-01-10': 66.58000183105469, '2018-01-11': 67.44000244140625, '2018-01-12': 67.02999877929688, '2018-01-16': 66.44000244140625}, '1_month_later': {'2018-02-02': 66.2300033569336}, '3_months_later': {'2018-04-02': 64.87999725341797}, '6_months_later': {'2018-07-02': 59.380001068115234}, '12_months_later': {'2019-01-02': 52.04999923706055}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LDL
{'date': '2018-01-02', 'ticker': 'LDL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.95000076293945, 'high': 51.54999923706055, 'open': 51.0, 'close': 51.04999923706055, 'ema_50': 52.73741867771565, 'rsi_14': 50.90907661711878, 'target': 51.09999847412109, 'volume': 49900.0, 'ema_200': 52.43902531566498, 'adj_close': 51.04999923706055, 'rsi_lag_1': 43.82023435095728, 'rsi_lag_2': 43.82023435095724, 'rsi_lag_3': 40.82840770938964, 'rsi_lag_4': 38.03683077818879, 'rsi_lag_5': 35.42858214085952, 'macd_lag_1': -0.8069272562399448, 'macd_lag_2': -0.8313969237442933, 'macd_lag_3': -0.9218088763310348, 'macd_lag_4': -0.9779810162958213, 'macd_lag_5': -0.9998157064306099, 'macd_12_26_9': -0.7546285490423656, 'macds_12_26_9': -0.8979514961318273}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 51.09999847412109, '2018-01-04': 51.04999923706055, '2018-01-05': 51.25, '2018-01-08': 51.20000076293945, '2018-01-09': 50.54999923706055, '2018-01-10': 49.54999923706055, '2018-01-11': 49.84999847412109, '2018-01-12': 49.84999847412109, '2018-01-16': 48.0}, '1_month_later': {'2018-02-02': 46.95000076293945}, '3_months_later': {'2018-04-02': 46.150001525878906}, '6_months_later': {'2018-07-02': 43.75}, '12_months_later': {'2019-01-02': 21.36000061035156}}
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.
LD
{'date': '2018-01-02', 'ticker': 'LD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320648-concerns-china-metals-demand-slowdown-overblown-goldman-says?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Concerns over China metals demand slowdown overblown, Goldman says', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134698-base-metals-4th-quarter-2017-review-outlook-q1-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Base Metals 4th-Quarter 2017 Review And Outlook For Q1 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 58.34000015258789, 'high': 58.34000015258789, 'open': 58.34000015258789, 'close': 58.34000015258789, 'ema_50': 56.090033713901896, 'rsi_14': 42.922729467033975, 'target': 62.0, 'volume': 0.0, 'ema_200': 50.689823096271915, 'adj_close': 58.34000015258789, 'rsi_lag_1': 42.922729467033975, 'rsi_lag_2': 42.922729467033975, 'rsi_lag_3': 42.922729467033975, 'rsi_lag_4': 42.922729467033975, 'rsi_lag_5': 42.922729467033975, 'macd_lag_1': 0.3101985841658461, 'macd_lag_2': 0.3176572048708337, 'macd_lag_3': 0.32255664868162626, 'macd_lag_4': 0.32411838752840083, 'macd_lag_5': 0.3213972849287714, 'macd_12_26_9': 0.3008199088651793, 'macds_12_26_9': 0.6071429713823271}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 62.0, '2018-01-04': 62.0, '2018-01-05': 62.0, '2018-01-08': 62.0, '2018-01-09': 62.0, '2018-01-10': 62.0, '2018-01-11': 62.0, '2018-01-12': 62.0, '2018-01-16': 62.0}, '3_months_later': {'2018-04-02': 51.619998931884766}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LCUT
{'date': '2018-01-02', 'ticker': 'LCUT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.75, 'high': 17.149999618530273, 'open': 16.75, 'close': 17.0, 'ema_50': 17.29470524117587, 'rsi_14': 46.428584403718055, 'target': 17.200000762939453, 'volume': 30600.0, 'ema_200': 17.565559417921133, 'adj_close': 17.0, 'rsi_lag_1': 36.70888581996581, 'rsi_lag_2': 42.465744834617354, 'rsi_lag_3': 42.465774899746776, 'rsi_lag_4': 36.23189126910939, 'rsi_lag_5': 41.66667726303449, 'macd_lag_1': -0.18900949889201968, 'macd_lag_2': -0.16706125503258917, 'macd_lag_3': -0.17734456668371124, 'macd_lag_4': -0.15734487753866588, 'macd_lag_5': -0.09898377774404565, 'macd_12_26_9': -0.16416542215633712, 'macds_12_26_9': -0.14780132685826433}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 17.200000762939453, '2018-01-04': 17.5, '2018-01-05': 17.649999618530273, '2018-01-08': 17.950000762939453, '2018-01-09': 17.950000762939453, '2018-01-10': 17.950000762939453, '2018-01-11': 17.950000762939453, '2018-01-12': 18.350000381469727, '2018-01-16': 17.850000381469727}, '1_month_later': {'2018-02-02': 17.049999237060547}, '3_months_later': {'2018-04-02': 12.350000381469728}, '6_months_later': {'2018-07-02': 12.600000381469728}, '12_months_later': {'2019-01-02': 9.970000267028809}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LCNB
{'date': '2018-01-02', 'ticker': 'LCNB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.14999961853028, 'high': 20.850000381469727, 'open': 20.64999961853028, 'close': 20.350000381469727, 'ema_50': 20.775161947404946, 'rsi_14': 48.92086587604537, 'target': 20.25, 'volume': 15800.0, 'ema_200': 20.491535532342603, 'adj_close': 18.43993186950684, 'rsi_lag_1': 50.35972052260807, 'rsi_lag_2': 53.03029996523429, 'rsi_lag_3': 51.9379842668892, 'rsi_lag_4': 59.64912163290379, 'rsi_lag_5': 59.64910167297769, 'macd_lag_1': 0.08863517139349852, 'macd_lag_2': 0.1553132456115094, 'macd_lag_3': 0.19234154783526236, 'macd_lag_4': 0.2571689509106747, 'macd_lag_5': 0.2547171837766129, 'macd_12_26_9': 0.02740718912374973, 'macds_12_26_9': 0.13415419648890795}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 20.25, '2018-01-04': 20.600000381469727, '2018-01-05': 20.799999237060547, '2018-01-08': 20.799999237060547, '2018-01-09': 20.350000381469727, '2018-01-10': 20.450000762939453, '2018-01-11': 21.100000381469727, '2018-01-12': 21.100000381469727, '2018-01-16': 20.89999961853028}, '1_month_later': {'2018-02-02': 19.350000381469727}, '3_months_later': {'2018-04-02': 18.700000762939453}, '6_months_later': {'2018-07-02': 20.049999237060547}, '12_months_later': {'2019-01-02': 15.5}}
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.
LB
{'date': '2018-01-02', 'ticker': 'LB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 59.88999938964844, 'high': 61.43999862670898, 'open': 61.25, 'close': 59.88999938964844, 'ema_50': 53.75896819518897, 'rsi_14': 58.81260945585335, 'target': 58.15999984741211, 'volume': 3615400.0, 'ema_200': 50.84033500907399, 'adj_close': 52.07595443725586, 'rsi_lag_1': 63.17205863150761, 'rsi_lag_2': 73.60447907619815, 'rsi_lag_3': 74.31562723829389, 'rsi_lag_4': 85.38391884185619, 'rsi_lag_5': 69.32850922831629, 'macd_lag_1': 2.728633796451618, 'macd_lag_2': 2.9278893331622484, 'macd_lag_3': 3.0581699055807476, 'macd_lag_4': 3.156554684176946, 'macd_lag_5': 3.0631249284978566, 'macd_12_26_9': 2.5151014344836327, 'macds_12_26_9': 2.866863305057083}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 58.15999984741211, '2018-01-04': 51.0, '2018-01-05': 50.36000061035156, '2018-01-08': 48.63999938964844, '2018-01-09': 47.380001068115234, '2018-01-10': 48.33000183105469, '2018-01-11': 50.0099983215332, '2018-01-12': 49.66999816894531, '2018-01-16': 48.9900016784668}, '1_month_later': {'2018-02-02': 47.5099983215332}, '3_months_later': {'2018-04-02': 37.060001373291016}, '6_months_later': {'2018-07-02': 35.95000076293945}, '12_months_later': {'2019-01-02': 26.309999465942383}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LCII
{'date': '2018-01-02', 'ticker': 'LCII', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 130.3000030517578, 'high': 132.3000030517578, 'open': 130.6999969482422, 'close': 131.39999389648438, 'ema_50': 124.14675586388734, 'rsi_14': 64.15928426797956, 'target': 130.1999969482422, 'volume': 87200.0, 'ema_200': 110.94961144807493, 'adj_close': 122.6837158203125, 'rsi_lag_1': 54.58332697550459, 'rsi_lag_2': 60.215034004118245, 'rsi_lag_3': 56.9767392345771, 'rsi_lag_4': 53.9325815727446, 'rsi_lag_5': 50.78301066885319, 'macd_lag_1': 1.897785955568935, 'macd_lag_2': 1.9650677500592906, 'macd_lag_3': 1.8543616037476909, 'macd_lag_4': 1.8795416958611497, 'macd_lag_5': 1.9097964069461852, 'macd_12_26_9': 1.9351255333308899, 'macds_12_26_9': 1.9686856273773754}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 130.1999969482422, '2018-01-04': 130.1999969482422, '2018-01-05': 129.35000610351562, '2018-01-08': 128.35000610351562, '2018-01-09': 127.25, '2018-01-10': 126.0, '2018-01-11': 128.5500030517578, '2018-01-12': 126.4000015258789, '2018-01-16': 123.6500015258789}, '1_month_later': {'2018-02-02': 104.8000030517578}, '3_months_later': {'2018-04-02': 98.9499969482422}, '6_months_later': {'2018-07-02': 91.5500030517578}, '12_months_later': {'2019-01-02': 66.98999786376953}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LCAHU
{'date': '2018-01-02', 'ticker': 'LCAHU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.550000190734863, 'high': 10.645000457763672, 'open': 10.645000457763672, 'close': 10.550000190734863, 'ema_50': 10.65403572624695, 'rsi_14': 34.92676956439573, 'target': 10.550000190734863, 'volume': 600.0, 'ema_200': 10.65835740448929, 'adj_close': 10.550000190734863, 'rsi_lag_1': 22.997257428334322, 'rsi_lag_2': 53.20247194844794, 'rsi_lag_3': 69.74289795270644, 'rsi_lag_4': 69.74289795270644, 'rsi_lag_5': 50.67850423330309, 'macd_lag_1': -0.023304110770656195, 'macd_lag_2': -0.016573477958969463, 'macd_lag_3': -0.016905229016574097, 'macd_lag_4': -0.021267548149481286, 'macd_lag_5': -0.026526107506036567, 'macd_12_26_9': -0.025918683582446533, 'macds_12_26_9': -0.02391670409540004}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.550000190734863, '2018-01-04': 10.5600004196167, '2018-01-05': 10.5600004196167, '2018-01-08': 10.5600004196167, '2018-01-09': 10.5600004196167, '2018-01-10': 10.595000267028809, '2018-01-11': 10.620100021362305, '2018-01-12': 10.620100021362305, '2018-01-16': 10.630000114440918}, '1_month_later': {'2018-02-02': 10.609999656677246}, '3_months_later': {'2018-04-02': 10.770000457763672}, '6_months_later': {'2018-07-02': 11.5}}
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.
LC
{'date': '2018-01-02', 'ticker': 'LC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.674999237060547, 'high': 21.64999961853028, 'open': 20.700000762939453, 'close': 21.450000762939453, 'ema_50': 22.79044068738164, 'rsi_14': 65.38462441348995, 'target': 20.950000762939453, 'volume': 1969300.0, 'ema_200': 26.79223997113367, 'adj_close': 21.450000762939453, 'rsi_lag_1': 70.39474856490776, 'rsi_lag_2': 69.03225536525, 'rsi_lag_3': 46.97674542391496, 'rsi_lag_4': 49.02912243808801, 'rsi_lag_5': 43.749994268783944, 'macd_lag_1': -0.5716992292821814, 'macd_lag_2': -0.6218941888122664, 'macd_lag_3': -0.7023700216843025, 'macd_lag_4': -0.7643247802794022, 'macd_lag_5': -0.8781021951968775, 'macd_12_26_9': -0.46203984799625886, 'macds_12_26_9': -0.788052370385571}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 20.950000762939453, '2018-01-04': 20.5, '2018-01-05': 20.350000381469727, '2018-01-08': 20.5, '2018-01-09': 19.950000762939453, '2018-01-10': 20.89999961853028, '2018-01-11': 21.64999961853028, '2018-01-12': 21.350000381469727, '2018-01-16': 20.600000381469727}, '1_month_later': {'2018-02-02': 18.299999237060547}, '3_months_later': {'2018-04-02': 16.75}, '6_months_later': {'2018-07-02': 18.75}, '12_months_later': {'2019-01-02': 13.550000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LBY
{'date': '2018-01-02', 'ticker': 'LBY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.563000202178955, 'high': 8.130000114440918, 'open': 7.610000133514404, 'close': 7.679999828338623, 'ema_50': 7.264952723308395, 'rsi_14': 81.71206485581052, 'target': 7.699999809265137, 'volume': 255368.0, 'ema_200': 9.483967582247097, 'adj_close': 7.532162666320801, 'rsi_lag_1': 81.20000480651947, 'rsi_lag_2': 87.87879663612982, 'rsi_lag_3': 74.44445798427073, 'rsi_lag_4': 55.865922978277, 'rsi_lag_5': 48.901099764830164, 'macd_lag_1': 0.039688944778840884, 'macd_lag_2': -0.013561507550426732, 'macd_lag_3': -0.11085845907499436, 'macd_lag_4': -0.16317771197190467, 'macd_lag_5': -0.1929644610552046, 'macd_12_26_9': 0.09372060956223827, 'macds_12_26_9': -0.10327236394895761}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, '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': 7.71999979019165, '2018-01-05': 7.71999979019165, '2018-01-08': 7.389999866485596, '2018-01-09': 7.289999961853027, '2018-01-10': 7.5, '2018-01-11': 7.800000190734863, '2018-01-12': 7.710000038146973, '2018-01-16': 7.610000133514404}, '1_month_later': {'2018-02-02': 6.659999847412109}, '3_months_later': {'2018-04-02': 4.800000190734863}, '6_months_later': {'2018-07-02': 8.0}, '12_months_later': {'2019-01-02': 4.050000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LBTYB
{'date': '2018-01-02', 'ticker': 'LBTYB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 36.150001525878906, 'high': 36.150001525878906, 'open': 36.150001525878906, 'close': 36.150001525878906, 'ema_50': 32.88586505571268, 'rsi_14': 100.0, 'target': 36.150001525878906, 'volume': 200.0, 'ema_200': 33.12086132481904, 'adj_close': 36.150001525878906, 'rsi_lag_1': 100.0, 'rsi_lag_2': 100.0, 'rsi_lag_3': 100.0, 'rsi_lag_4': 100.0, 'rsi_lag_5': 100.0, 'macd_lag_1': 1.0537945762574452, 'macd_lag_2': 1.013386418619227, 'macd_lag_3': 0.947070749508363, 'macd_lag_4': 0.8486522663958311, 'macd_lag_5': 0.7106904604391673, 'macd_12_26_9': 1.1213077646688134, 'macds_12_26_9': 0.8181576172901753}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 36.150001525878906, '2018-01-04': 36.150001525878906, '2018-01-05': 36.150001525878906, '2018-01-08': 36.150001525878906, '2018-01-09': 36.150001525878906, '2018-01-10': 36.150001525878906, '2018-01-11': 36.150001525878906, '2018-01-12': 36.150001525878906, '2018-01-16': 36.150001525878906}, '1_month_later': {'2018-02-02': 39.0}, '3_months_later': {'2018-04-02': 31.64999961853028}, '6_months_later': {'2018-07-02': 28.0}, '12_months_later': {'2019-01-02': 21.0}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LBTYA
{'date': '2018-01-02', 'ticker': 'LBTYA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.70000076293945, 'high': 36.54999923706055, 'open': 36.33000183105469, 'close': 36.2400016784668, 'ema_50': 32.56952795928155, 'rsi_14': 87.28141302673441, 'target': 36.209999084472656, 'volume': 1449700.0, 'ema_200': 32.67452775625842, 'adj_close': 36.2400016784668, 'rsi_lag_1': 88.0060051472691, 'rsi_lag_2': 81.98582934120154, 'rsi_lag_3': 81.15728556470555, 'rsi_lag_4': 75.24074056583478, 'rsi_lag_5': 72.16359821665372, 'macd_lag_1': 1.1893730457921095, 'macd_lag_2': 1.1204318727488598, 'macd_lag_3': 1.025304327451714, 'macd_lag_4': 0.9246096786018398, 'macd_lag_5': 0.7755105807262339, 'macd_12_26_9': 1.2617416302033178, 'macds_12_26_9': 0.9066009559324457}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 36.209999084472656, '2018-01-04': 36.08000183105469, '2018-01-05': 36.18999862670898, '2018-01-08': 35.25, '2018-01-09': 35.04999923706055, '2018-01-10': 34.900001525878906, '2018-01-11': 36.59000015258789, '2018-01-12': 36.869998931884766, '2018-01-16': 36.560001373291016}, '1_month_later': {'2018-02-02': 38.4900016784668}, '3_months_later': {'2018-04-02': 30.979999542236328}, '6_months_later': {'2018-07-02': 27.690000534057617}, '12_months_later': {'2019-01-02': 21.36000061035156}}
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.
LBRDA
{'date': '2018-01-02', 'ticker': 'LBRDA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 85.11000061035156, 'high': 88.58000183105469, 'open': 85.62000274658203, 'close': 88.30000305175781, 'ema_50': 86.88732431274099, 'rsi_14': 58.28296274975414, 'target': 89.48999786376953, 'volume': 236300.0, 'ema_200': 87.20693048922254, 'adj_close': 88.30000305175781, 'rsi_lag_1': 54.18327258358262, 'rsi_lag_2': 51.20254686523691, 'rsi_lag_3': 47.33606963177748, 'rsi_lag_4': 45.20547604330589, 'rsi_lag_5': 42.15328026790122, 'macd_lag_1': -0.7425256082270124, 'macd_lag_2': -0.8677705258260318, 'macd_lag_3': -1.0078792258946692, 'macd_lag_4': -1.00608468081019, 'macd_lag_5': -1.1561419857638668, 'macd_12_26_9': -0.3766781587323038, 'macds_12_26_9': -0.8918700867862287}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 89.48999786376953, '2018-01-04': 88.38999938964844, '2018-01-05': 88.83000183105469, '2018-01-08': 89.66000366210938, '2018-01-09': 89.33999633789062, '2018-01-10': 88.70999908447266, '2018-01-11': 89.93000030517578, '2018-01-12': 90.3000030517578, '2018-01-16': 89.44000244140625}, '1_month_later': {'2018-02-02': 96.16000366210938}, '3_months_later': {'2018-04-02': 82.47000122070312}, '6_months_later': {'2018-07-02': 75.43000030517578}, '12_months_later': {'2019-01-02': 72.69000244140625}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LBC
{'date': '2018-01-02', 'ticker': 'LBC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.899999618530272, 'high': 12.279000282287598, 'open': 11.920000076293944, 'close': 12.18000030517578, 'ema_50': 6.31593563399901, 'rsi_14': 53.57142248932647, 'target': 12.15999984741211, 'volume': 280100.0, 'ema_200': 5.595333779237026, 'adj_close': 11.575749397277832, 'rsi_lag_1': 57.83783115027989, 'rsi_lag_2': 94.21364524893785, 'rsi_lag_3': 95.9939482931835, 'rsi_lag_4': 95.95110301291734, 'rsi_lag_5': 95.93869261423664, 'macd_lag_1': 2.7535162113769616, 'macd_lag_2': 2.8782464147692295, 'macd_lag_3': 3.0006730368499026, 'macd_lag_4': 3.087833226678689, 'macd_lag_5': 3.168421868981765, 'macd_12_26_9': 2.635582133982817, 'macds_12_26_9': 2.780974928342975}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.15999984741211, '2018-01-04': 12.0600004196167, '2018-01-05': 11.989999771118164, '2018-01-08': 12.0, '2018-01-09': 11.960000038146973, '2018-01-10': 12.199999809265137, '2018-01-11': 12.390000343322754, '2018-01-12': 12.359999656677246, '2018-01-16': 12.329999923706056}, '1_month_later': {'2018-02-02': 12.789999961853027}, '3_months_later': {'2018-04-02': 11.8100004196167}, '6_months_later': {'2018-07-02': 11.619999885559082}, '12_months_later': {'2019-01-02': 9.18000030517578}}
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.
LCI
{'date': '2018-01-02', 'ticker': 'LCI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.700000762939453, 'high': 24.64999961853028, 'open': 23.200000762939453, 'close': 23.64999961853028, 'ema_50': 24.807325930627044, 'rsi_14': 20.382169474113766, 'target': 24.39999961853028, 'volume': 1101300.0, 'ema_200': 22.59933320420885, 'adj_close': 23.64999961853028, 'rsi_lag_1': 15.43625655954888, 'rsi_lag_2': 20.279742478783163, 'rsi_lag_3': 18.70969806078169, 'rsi_lag_4': 19.20532076656677, 'rsi_lag_5': 20.779238150913358, 'macd_lag_1': -0.4495393052058816, 'macd_lag_2': -0.27617006788788245, 'macd_lag_3': -0.11196161227050894, 'macd_lag_4': 0.06362021932813988, 'macd_lag_5': 0.2409828398790772, 'macd_12_26_9': -0.544349604593581, 'macds_12_26_9': 0.0673382961039485}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 24.39999961853028, '2018-01-04': 24.25, '2018-01-05': 24.049999237060547, '2018-01-08': 23.549999237060547, '2018-01-09': 24.950000762939453, '2018-01-10': 24.850000381469727, '2018-01-11': 24.850000381469727, '2018-01-12': 24.75, '2018-01-16': 24.39999961853028}, '1_month_later': {'2018-02-02': 20.600000381469727}, '3_months_later': {'2018-04-02': 15.350000381469728}, '6_months_later': {'2018-07-02': 13.300000190734863}, '12_months_later': {'2019-01-02': 5.349999904632568}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LEA
{'date': '2018-01-02', 'ticker': 'LEA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 176.69000244140625, 'high': 179.02999877929688, 'open': 177.10000610351562, 'close': 178.8000030517578, 'ema_50': 174.84648229494258, 'rsi_14': 57.195587653839034, 'target': 180.0800018310547, 'volume': 369400.0, 'ema_200': 158.77059715354784, 'adj_close': 178.8000030517578, 'rsi_lag_1': 49.14689312891788, 'rsi_lag_2': 58.22840653052711, 'rsi_lag_3': 59.71378925191098, 'rsi_lag_4': 48.38199394707971, 'rsi_lag_5': 51.356667290697615, 'macd_lag_1': 0.7030214959208081, 'macd_lag_2': 0.8367974752793828, 'macd_lag_3': 0.6970461441225382, 'macd_lag_4': 0.6205328417218539, 'macd_lag_5': 0.6675945614599357, 'macd_12_26_9': 0.7609118167266615, 'macds_12_26_9': 0.6337936476375113}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 180.0800018310547, '2018-01-04': 186.1499938964844, '2018-01-05': 191.38999938964844, '2018-01-08': 189.4900054931641, '2018-01-09': 189.3800048828125, '2018-01-10': 182.509994506836, '2018-01-11': 184.9100036621093, '2018-01-12': 189.13999938964844, '2018-01-16': 187.1199951171875}, '1_month_later': {'2018-02-02': 186.1100006103516}, '3_months_later': {'2018-04-02': 181.6499938964844}, '6_months_later': {'2018-07-02': 187.69000244140625}, '12_months_later': {'2019-01-02': 123.95999908447266}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KURA
{'date': '2018-01-02', 'ticker': 'KURA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.0, 'high': 15.715999603271484, 'open': 15.5, 'close': 15.449999809265137, 'ema_50': 14.565263193101373, 'rsi_14': 67.77777518755067, 'target': 15.5, 'volume': 190700.0, 'ema_200': 11.50801177214319, 'adj_close': 15.449999809265137, 'rsi_lag_1': 53.703709917632565, 'rsi_lag_2': 66.9724841278813, 'rsi_lag_3': 66.9724841278813, 'rsi_lag_4': 64.76190925996133, 'rsi_lag_5': 55.17241776202205, 'macd_lag_1': 0.19905702258529168, 'macd_lag_2': 0.19941086484442572, 'macd_lag_3': 0.1256892667140761, 'macd_lag_4': 0.02976549213004631, 'macd_lag_5': -0.06764653277000754, 'macd_12_26_9': 0.20847712118142958, 'macds_12_26_9': 0.062947328361942}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.5, '2018-01-04': 15.100000381469728, '2018-01-05': 14.949999809265137, '2018-01-08': 14.5, '2018-01-09': 15.050000190734863, '2018-01-10': 15.199999809265137, '2018-01-11': 15.649999618530272, '2018-01-12': 16.049999237060547, '2018-01-16': 16.600000381469727}, '1_month_later': {'2018-02-02': 19.799999237060547}, '3_months_later': {'2018-04-02': 17.899999618530273}, '6_months_later': {'2018-07-02': 18.450000762939453}, '12_months_later': {'2019-01-02': 14.350000381469728}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KTOV
{'date': '2018-01-02', 'ticker': 'KTOV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.259999990463257, 'high': 2.427999973297119, 'open': 2.359999895095825, 'close': 2.359999895095825, 'ema_50': 2.193145105195246, 'rsi_14': 62.26415391408066, 'target': 2.3399999141693115, 'volume': 222900.0, 'ema_200': 2.1971709209635226, 'adj_close': 2.359999895095825, 'rsi_lag_1': 56.8627386815452, 'rsi_lag_2': 61.194023831416956, 'rsi_lag_3': 59.79381468638377, 'rsi_lag_4': 51.041665114463186, 'rsi_lag_5': 47.57281890496478, 'macd_lag_1': 0.016472002343911107, 'macd_lag_2': 0.011610941436916544, 'macd_lag_3': 0.00014666940433993858, 'macd_lag_4': -0.006342597131232086, 'macd_lag_5': -0.005369377381123197, 'macd_12_26_9': 0.026474571015755455, 'macds_12_26_9': 0.004744108910108732}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.3399999141693115, '2018-01-04': 2.309999942779541, '2018-01-05': 2.4600000381469727, '2018-01-08': 2.440000057220459, '2018-01-09': 2.390000104904175, '2018-01-10': 2.4100000858306885, '2018-01-11': 2.289999961853028, '2018-01-12': 2.299999952316284, '2018-01-16': 2.3199999332427983}, '1_month_later': {'2018-02-02': 2.6600000858306885}, '3_months_later': {'2018-04-02': 2.1199998855590816}, '6_months_later': {'2018-07-02': 2.470000028610229}, '12_months_later': {'2019-01-02': 0.75}}
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.
KORU
{'date': '2018-01-02', 'ticker': 'KORU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 63.7599983215332, 'high': 64.75, 'open': 64.19000244140625, 'close': 64.75, 'ema_50': 58.59303571921148, 'rsi_14': 64.92090275786256, 'target': 66.37000274658203, 'volume': 37000.0, 'ema_200': 49.47422415418169, 'adj_close': 64.75, 'rsi_lag_1': 60.95932609304901, 'rsi_lag_2': 61.45084344182812, 'rsi_lag_3': 52.531177398621494, 'rsi_lag_4': 32.10561336072634, 'rsi_lag_5': 36.36362433064057, 'macd_lag_1': -0.07201173111650405, 'macd_lag_2': -0.39356579322797103, 'macd_lag_3': -0.7646609254413406, 'macd_lag_4': -0.9125727197419451, 'macd_lag_5': -0.8294698953265964, 'macd_12_26_9': 0.3753825012281311, 'macds_12_26_9': -0.26053513612801743}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 66.37000274658203, '2018-01-04': 64.98000335693361, '2018-01-05': 67.5, '2018-01-08': 67.52999877929689, '2018-01-09': 66.93000030517578, '2018-01-10': 65.55000305175781, '2018-01-11': 67.5, '2018-01-12': 69.73000335693361, '2018-01-16': 69.01000213623047}, '1_month_later': {'2018-02-02': 59.72000122070313}, '3_months_later': {'2018-04-02': 55.61000061035156}, '6_months_later': {'2018-07-02': 37.97999954223633}, '12_months_later': {'2019-01-02': 23.770000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KOPN
{'date': '2018-01-02', 'ticker': 'KOPN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.150000095367432, 'high': 3.289999961853028, 'open': 3.220000028610229, 'close': 3.2300000190734863, 'ema_50': 3.3313506602578324, 'rsi_14': 52.56410099659001, 'target': 3.440000057220459, 'volume': 413600.0, 'ema_200': 3.501984706729819, 'adj_close': 3.2300000190734863, 'rsi_lag_1': 54.87805906326496, 'rsi_lag_2': 54.216862624677816, 'rsi_lag_3': 54.76189935558877, 'rsi_lag_4': 50.0, 'rsi_lag_5': 51.89874640184313, 'macd_lag_1': -0.030671122395255157, 'macd_lag_2': -0.034223512038664694, 'macd_lag_3': -0.0423325798516343, 'macd_lag_4': -0.05206695251689197, 'macd_lag_5': -0.055588767541141504, 'macd_12_26_9': -0.02514522256496443, 'macds_12_26_9': -0.04656310920329345}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.440000057220459, '2018-01-04': 3.509999990463257, '2018-01-05': 3.5999999046325684, '2018-01-08': 3.490000009536743, '2018-01-09': 3.2699999809265137, '2018-01-10': 3.289999961853028, '2018-01-11': 3.470000028610229, '2018-01-12': 3.490000009536743, '2018-01-16': 3.2699999809265137}, '1_month_later': {'2018-02-02': 3.4200000762939453}, '3_months_later': {'2018-04-02': 3.130000114440918}, '6_months_later': {'2018-07-02': 2.9200000762939453}, '12_months_later': {'2019-01-02': 1.100000023841858}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KOP
{'date': '2018-01-02', 'ticker': 'KOP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/westlake-chemical-hits-new-52-week-high%3A-whats-driving-it-2018-01-02', 'news_author': None, 'news_article': 'Shares of Westlake Chemical CorporationWLK scaled a fresh 52-week high of $107.51 on Dec 29, before eventually closing the day at $106.53.\nWestlake Chemical has a market cap of roughly $13.8 billion. Average volume of shares traded in the last three months is around 800.2K. The company has an expected long-term EPS growth of 10.6%.\nNotably, Westlake Chemical has an impressive earnings surprise history as the company has topped the Zacks Consensus Estimate in the trailing four quarters, with an average positive surprise of 23.5%.\nShares of Westlake Chemical have rallied 59.1% in the past six months, outperforming the industry \'s 34% growth.\nDriving Factors\nIn the third-quarter call, the company benefited from increased demand for all major products in both Vinyls and Olefins segments along with higher prices in the Vinyls segment. The company sees increased ethylene availability with the start-up of new ethylene plants and completion of capacity expansions.\nWestlake Chemical is likely to continue to benefiting from the Axiall acquisition. The acquisition has diversified the company\'s product portfolio and geographical operations, creating a North American leader in Olefins and Vinyls. The company is on track to realize around $120 million in synergies and cost savings related to the buyout in 2017.\nThe Axiall buyout and continued investments to improve the reliability and operational efficiency of its assets will help the company leverage the improving Vinyls market. The company will also likely benefit from favorable demand trends for all of its major products, going ahead.\nWestlake Chemical Corporation Price and Consensus\nWestlake Chemical Corporation Price and Consensus | Westlake Chemical Corporation Quote\nZacks Rank & Stocks to Consider\nWestlake Chemical carries a Zacks Rank #3 (Hold).\nSome better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). You can see the complete list of today\'s Zacks #1 Rank stocks here .\nKronos Worldwide has expected long-term earnings growth of 5%. Its shares have skyrocketed 113.2% yearly.\nKoppers has expected long-term earnings growth of 18%. Shares of the company have rallied 25.2% yearly.\nHuntsman has expected long-term earnings growth of 8%. Its shares have soared 72.9% year to date.\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\nKronos Worldwide Inc (KRO): Free Stock Analysis Report\nKoppers Holdings Inc. (KOP): Free Stock Analysis Report\nHuntsman Corporation (HUN): Free Stock Analysis Report\nWestlake Chemical Corporation (WLK): 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': 'Some better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). Koppers has expected long-term earnings growth of 18%. Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Koppers Holdings Inc. (KOP): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Westlake Chemical Corporation (WLK): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_luhn_summary': 'Some better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Koppers Holdings Inc. (KOP): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Westlake Chemical Corporation (WLK): Free Stock Analysis Report To read this article on Zacks.com click here. Koppers has expected long-term earnings growth of 18%.', 'news_article_title': "Westlake Chemical Hits New 52-Week High: What's Driving It?", 'news_lexrank_summary': 'Some better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). Koppers has expected long-term earnings growth of 18%. Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Koppers Holdings Inc. (KOP): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Westlake Chemical Corporation (WLK): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_textrank_summary': 'Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Koppers Holdings Inc. (KOP): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Westlake Chemical Corporation (WLK): Free Stock Analysis Report To read this article on Zacks.com click here. Some better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). Koppers has expected long-term earnings growth of 18%.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 49.959999084472656, 'high': 51.18000030517578, 'open': 50.95000076293945, 'close': 50.79999923706055, 'ema_50': 48.65736988182669, 'rsi_14': 61.17019377019962, 'target': 50.25, 'volume': 106600.0, 'ema_200': 43.26644686424173, 'adj_close': 50.79999923706055, 'rsi_lag_1': 62.43386350177596, 'rsi_lag_2': 56.31067170107608, 'rsi_lag_3': 57.345963167042775, 'rsi_lag_4': 58.45410129471117, 'rsi_lag_5': 51.030911617831975, 'macd_lag_1': 0.6625277873225102, 'macd_lag_2': 0.6595352223077882, 'macd_lag_3': 0.6563044327714849, 'macd_lag_4': 0.6680890696502857, 'macd_lag_5': 0.5817763734366466, 'macd_12_26_9': 0.6493448247665157, 'macds_12_26_9': 0.5844169889325572}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, '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': 51.0, '2018-01-05': 50.54999923706055, '2018-01-08': 50.09999847412109, '2018-01-09': 49.45000076293945, '2018-01-10': 48.0, '2018-01-11': 49.150001525878906, '2018-01-12': 48.79999923706055, '2018-01-16': 47.84999847412109}, '1_month_later': {'2018-02-02': 43.09999847412109}, '3_months_later': {'2018-04-02': 40.650001525878906}, '6_months_later': {'2018-07-02': 38.5}, '12_months_later': {'2019-01-02': 18.32999992370605}}
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.
KOLD
{'date': '2018-01-02', 'ticker': 'KOLD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 36.900001525878906, 'high': 39.060001373291016, 'open': 37.09999847412109, 'close': 38.04999923706055, 'ema_50': 41.20711427851255, 'rsi_14': 38.848668655937644, 'target': 39.09999847412109, 'volume': 90600.0, 'ema_200': 36.52956925746766, 'adj_close': 38.04999923706055, 'rsi_lag_1': 39.992901249943145, 'rsi_lag_2': 40.49586414356533, 'rsi_lag_3': 59.04503134908349, 'rsi_lag_4': 67.5033078353831, 'rsi_lag_5': 69.44099743854466, 'macd_lag_1': 1.4040078655792456, 'macd_lag_2': 2.083729174731559, 'macd_lag_3': 2.859901194870268, 'macd_lag_4': 3.197053272274914, 'macd_lag_5': 3.2581154924128697, 'macd_12_26_9': 0.7278270804905773, 'macds_12_26_9': 2.130245534448288}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 39.09999847412109, '2018-01-04': 41.95000076293945, '2018-01-05': 44.0, '2018-01-08': 43.5099983215332, '2018-01-09': 39.91999816894531, '2018-01-10': 41.43000030517578, '2018-01-11': 38.65999984741211, '2018-01-12': 36.959999084472656, '2018-01-16': 37.79999923706055}, '1_month_later': {'2018-02-02': 38.7599983215332}, '3_months_later': {'2018-04-02': 44.59000015258789}, '6_months_later': {'2018-07-02': 40.09999847412109}, '12_months_later': {'2019-01-02': 21.729999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KOL
{'date': '2018-01-02', 'ticker': 'KOL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320692-coal-beats-competitors-power-plant-heating-eastern-u-s-record-cold?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Coal beats competitors for power plant heating in eastern U.S. record cold', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134642-energy-fourth-quarter-review-outlook-q1-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Energy Fourth Quarter Review And The Outlook For Q1 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 162.39999389648438, 'high': 163.39999389648438, 'open': 162.5, 'close': 163.10000610351562, 'ema_50': 153.38703885984089, 'rsi_14': 74.6341245561932, 'target': 163.3000030517578, 'volume': 10800.0, 'ema_200': 143.44798879190992, 'adj_close': 151.63877868652344, 'rsi_lag_1': 72.1924889333143, 'rsi_lag_2': 74.8717872474283, 'rsi_lag_3': 74.47913520867971, 'rsi_lag_4': 63.46154128305763, 'rsi_lag_5': 59.999985467830506, 'macd_lag_1': 2.2694815541451874, 'macd_lag_2': 2.159745300639429, 'macd_lag_3': 1.9577216947037641, 'macd_lag_4': 1.7426641286479025, 'macd_lag_5': 1.5548236975648138, 'macd_12_26_9': 2.5529562804891555, 'macds_12_26_9': 1.9102312669815773}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 163.3000030517578, '2018-01-04': 164.6999969482422, '2018-01-05': 168.89999389648438, '2018-01-08': 173.1999969482422, '2018-01-09': 172.8000030517578, '2018-01-10': 172.8000030517578, '2018-01-11': 176.0, '2018-01-12': 177.60000610351562, '2018-01-16': 174.3000030517578}, '1_month_later': {'2018-02-02': 180.1999969482422}, '3_months_later': {'2018-04-02': 155.5}, '6_months_later': {'2018-07-02': 156.10000610351562}, '12_months_later': {'2019-01-02': 125.6999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KOF
{'date': '2018-01-02', 'ticker': 'KOF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 69.8499984741211, 'high': 71.38999938964844, 'open': 70.12999725341797, 'close': 71.20999908447266, 'ema_50': 70.11544956042563, 'rsi_14': 58.6545216579573, 'target': 70.0, 'volume': 67100.0, 'ema_200': 74.15836365809373, 'adj_close': 64.64698028564453, 'rsi_lag_1': 55.47171223667808, 'rsi_lag_2': 50.04234602809761, 'rsi_lag_3': 49.3734591429074, 'rsi_lag_4': 46.37448828356295, 'rsi_lag_5': 42.794120204490234, 'macd_lag_1': -0.1769780683980997, 'macd_lag_2': -0.27148360840037356, 'macd_lag_3': -0.20895797310122077, 'macd_lag_4': -0.14545884029018907, 'macd_lag_5': -0.05313105097448556, 'macd_12_26_9': 0.02591889238578915, 'macds_12_26_9': -0.1095043832577207}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 70.0, '2018-01-04': 70.22000122070312, '2018-01-05': 70.83999633789062, '2018-01-08': 71.55000305175781, '2018-01-09': 70.88999938964844, '2018-01-10': 69.69999694824219, '2018-01-11': 70.83999633789062, '2018-01-12': 71.66000366210938, '2018-01-16': 72.91000366210938}, '1_month_later': {'2018-02-02': 77.08999633789062}, '3_months_later': {'2018-04-02': 64.69999694824219}, '6_months_later': {'2018-07-02': 54.97999954223633}, '12_months_later': {'2019-01-02': 61.880001068115234}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KODK
{'date': '2018-01-02', 'ticker': 'KODK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.049999952316284, 'high': 3.299999952316284, 'open': 3.049999952316284, 'close': 3.150000095367432, 'ema_50': 4.120493688481387, 'rsi_14': 40.00001271565354, 'target': 3.049999952316284, 'volume': 159200.0, 'ema_200': 7.49994329493099, 'adj_close': 3.150000095367432, 'rsi_lag_1': 35.71428328144323, 'rsi_lag_2': 33.33333333333333, 'rsi_lag_3': 40.00000635783081, 'rsi_lag_4': 35.29411599710308, 'rsi_lag_5': 37.49999627470948, 'macd_lag_1': -0.23161722337733393, 'macd_lag_2': -0.23309543883222705, 'macd_lag_3': -0.23159170017527675, 'macd_lag_4': -0.2313947047981335, 'macd_lag_5': -0.23795933437319539, 'macd_12_26_9': -0.2238309456446239, 'macds_12_26_9': -0.26187774055567925}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.049999952316284, '2018-01-04': 3.049999952316284, '2018-01-05': 3.150000095367432, '2018-01-08': 3.0999999046325684, '2018-01-09': 6.800000190734863, '2018-01-10': 10.699999809265137, '2018-01-11': 8.399999618530273, '2018-01-12': 9.199999809265137, '2018-01-16': 8.5}, '1_month_later': {'2018-02-02': 6.449999809265137}, '3_months_later': {'2018-04-02': 5.0}, '6_months_later': {'2018-07-02': 3.849999904632568}, '12_months_later': {'2019-01-02': 2.5299999713897705}}
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.
KO
{'date': '2018-01-02', 'ticker': 'KO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/27-quotes-investing-greats-make-you-better-dividend-investor-2018-01-02', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nIndividual investors benefit when investing greats share their wisdom.\nWarren Buffett, Benjamin Graham, Joel Greenblatt, Seth Klarman, Peter Lynch, and Phil Fisher are all investing greats who have written books and/or shared their wisdom in annual reports.\nIt\'s hard to overstate how much investors have to gain by studying these investors.\nThe returns generated by the investors covered in Invest Like The Best are simply remarkable.\nWarren Buffett: 19% CAGR over 50 years\nSeth Klarman: ~20% CAGR over 34 years\nBenjamin Graham: ~20% CAGR over 20 years\nPeter Lynch: 29% CAGR over 13 years\nJoel Greenblatt: 48% CAGR over 10 year\nThis article will provide actionable investing quotes from six of the world\'s greatest investors.\nWarren Buffett Investing Quotes\nWarren Buffett\'s $70+ billion fortune makes him one of the wealthiest men in the world. Warren Buffett\'s quotes are concise and filled with investing wisdom.\nWarren Buffett also stands out among the investors on this list because he is still actively investing today, despite being more than 80 years old. This means we can piggyback off of his investing success by studying the portfolio of his investment conglomerate Berkshire Hathaway.\nOver the years Warren Buffett has evolved from a strict value investor to an investor that looks for shareholder-friendly businesses with strong competitive advantages trading at fair or better prices. Warren Buffett\'s portfolio is loaded with dividend growth stocks like The Coca-Cola Co (NYSE: KO ).\nWarren Buffett\'s approach to investing is to buy excellent businesses and let them compound wealth over time.\n"Time is the friend of the wonderful company, the enemy of the mediocre."\nTime is the friend of the wonderful company because over time wonderful companies will continue to gain market share, grow earnings, and reward shareholders. For a mediocre business, time is the enemy. The mediocre business will slowly succumb to the competitive forces of free markets.\nBuffett also believes that wonderful companies can still make attractive investments when they are purchased at not-necessarily-wonderful prices. One of his most famous quotes illustrates this point nicely:\n"It\'s far better to buy a wonderful business at a fair price than a fair business at a wonderful price."\nTime + wonderful business = wealth.\nTime + fair business = mediocre results.\nWhen one buys a fair business at a wonderful price, they are relying on the stock market to generate their returns; hoping that the business\' valuation will rise. When one buys a wonderful business, they can sit back and let the business grow over time; increasing value on its own.\nSo what makes a wonderful business? Buffett believes that wonderful businesses are positioned to perform well regardless of future changes to consumer behavior, the economic environment, and the technological landscape. This has led to Buffett stating the following:\n"Our approach is very much profiting from lack of change rather than from change."\nBusinesses that must undergo continuous change to stay relevant will eventually lose pace with the market. Businesses that rarely have to change their products have a much lower risk of product obsolescence.\nWhat will the smartphone industry look like 20 years from now? I have no idea. Very few people (could anyone?) could have predicted the rise of Apple 20 years ago.\nOn the other hand, think about the spice industry . McCormick & Company, Incorporated (NYSE: MKC ) is the largest player in this industry. I find it very difficult to imagine that people\'s preferences for flavoring foods with spices will change much over the next 20 years - or the next 100 years.\nChanging industries are exciting, but they reduce the durability of a businesses\' competitive advantage. With that said, excitement is not necessary for strong investment returns. Investing is certainly a world where slow and steady wins the race.\n"I don\'t look to jump over 7-foot bars; I look around for 1 foot bars that I can step over."\nWarren Buffett\'s strategy of buying excellent businesses reduces risk and complexity. It isn\'t hard to see that Coca-Cola or American Express Company (NYSE: AXP ) have strong competitive advantages. It is orders of magnitude more difficult to examine a biopharmaceutical start-up\'s expected value. There is no reason to take chances on over-complicated analysis when you can buy easy-to-understand high-quality businesses. There are no bonus points for difficulty in investing.\nWarren Buffett\'s investment strategy matches well with dividend growth investing. While Warren Buffett does not require the businesses in which he invests to pay dividends, most of them do. All of Warren Buffett\'s top 5 holdings pay increasing dividends year-after-year - giving them a solid chance of eventually joining the Dividend Aristocrats (stocks with 25+ years of consecutive dividend increases). Coca-Cola, one of Buffett\'s largest position, is already an Aristocrat.\nBenjamin Graham Investing Quotes\nBenjamin Graham has been called "the father of Value Investing" and "the dean of Wall Street," and probably has had more intellectual influence than any other investor on this list. His two critically-acclaimed books Security Analysis and The Intelligent Investor introduced important concepts like Mr. Market and the margin of safety and have had a tremendous amount of influence on millions of investors worldwide.\nWarren Buffett has said the following about Graham\'s book The Intelligent Investor :\n"I read the first edition of this book early in 1950, when I was nineteen. I thought then that it was by far the best book about investing ever written. I still think it is."\nWhat differentiated Benjamin Graham from the other investors of his day? Well, Graham was one of the first investors to become laser-focused on price. Graham was not interested in just prices, but how they related to yardsticks of business value (such as earnings and book value).\nOverall, one of the defining charcteristics of Graham\'s research style was the desire to quantify every aspect of a company\'s characteristics. This can be seen from the beginning of The Intelligent Investor , where Graham writes:\n…we hope to implant in the reader a tendency to measure or quantify. For 99 issues out of 100 we could say that at some price they are cheap enough to buy and at some other price they would be so dear that they should be sold. The habit of relating what is paid to what is being offered is an invaluable trait in investment. In an article in a women\'s magazine many years ago we advised the readers to buy their stocks as they bought their groceries, not as they bought their perfume. The really dreadful losses of the past few years (and on many similar occasions before) were realized in those common-stock issues where the buyer forgot to ask "How much?"\nAs alluded to previously, Graham was also the creator of the concept of a "margin of safety." A margin of safety is the difference between an investor\'s purchase price and the intrinsic value of the investment in question. The larger a margin of safety, the better for the investor.\nGraham introduces the margin of safety with the following passage in The Intelligent Investor :\n"The margin-of-safety idea becomes much more evident when we apply it to the field of undervalued or bargain securities. We have here, by definition, a favorable difference between price on the one hand and indicated or appraised value on the other. That difference is the safety margin. It is available for absorbing the effect of miscalculations or worse than average luck. The buyer of bargain issues places particular emphasis on the ability of the investment to withstand adverse developments. For in most such cases he has no real enthusiasm about the company\'s prospects. True, if the prospects are definitely bad the investor will prefer to avoid the security no matter how low the price. But the field of undervalued issues is drawn from the many concerns-perhaps a majority of the total-for which the future appears neither distinctly promising nor distinctly unpromising. If these are bought on a bargain basis, even a moderate decline in the earning power need not prevent the investment from showing satisfactory results. The margin of safety will then have served its proper purpose. "\nOne of Graham\'s other grand contributions to the field of investing is the psychological concept of "Mr. Market," which was referenced in the introduction to this section.\nMr. Market is an analogy to help investors understand and endure the volatility that is inherent in the stock market. Graham explains Mr. Market as follows:\n"Imagine that in some private business you own a small share that cost you $1,000. One of your partners, named Mr. Market, is very obliging indeed. Every day he tells you what he thinks your interest is worth and furthermore offers either to buy you out or to sell you an additional interest on that basis. Sometimes his idea of value appears plausible and justified by business developments and prospects as you know them. Often, on the other hand, Mr. Market lets his enthusiasm or his fears run away with him, and the value he proposes seems to you a little short of silly.\nIf you are a prudent investor or a sensible businessman, will you let Mr. Market\'s daily communication determine your view of the value of a $1,000 interest in the enterprise? Only in case you agree with him, or in case you want to trade with him. You may be happy to sell out to him when he quotes you a ridiculously high price, and equally happy to buy from him when his price is low. But the rest of the time you will be wiser to form your own ideas of the value of your holdings, based on full reports from the company about its operations and financial position.\nThe true investor is in that very position when he owns a listed common stock. He can take advantage of the daily market price or leave it alone, as dictated by his own judgment and inclination. He must take cognizance of important price movements, for otherwise his judgment will have nothing to work on. Conceivably they may give him a warning signal which he will do well to heed-this in plain English means that he is to sell his shares because the price has gone down, foreboding worse things to come. In our view such signals are misleading at least as often as they are helpful. Basically, price fluctuations have only one significant meaning for the true investor. They provide him with an opportunity to buy wisely when prices fall sharply and to sell wisely when they advance a great deal. At other times he will do better if he forgets about the stock market and pays attention to his dividend returns and to the operating results of his companies."\nThe Mr. Market analogy helps investors remember that the price movements within the stock market can sometimes be highly irrational, and helps investors to weather - and even benefit from - the resulting volatility.\nJoel Greenblatt Investing Quotes\nJoel Greenblatt is a 60 year old value investor and author. He managed the hedge fund Gotham Capital from 1985 to 2006 and generated absurd annual returns of 40% a year. Joel Greenblatt\'s books include You Can Be a Stock Market Genius and The Little Book that Beats the Market .\nJoel Greenblatt now employs formula-based value investing. His strategy involves looking for businesses with high margins trading at a low price in relation to earnings. He currently has several mutual funds available (all with very high expense ratios ).\nRule/formula based investing has a distinct advantage. It eliminates bias and emotion from the investing process. As a formula-based investor, Joel Greenblatt recognizes the advantages of this approach.\n"Decisions to buy and sell stocks should be based solely on the investment merits."\nJoel Greenblatt, like all the investors discussed above, seeks to limit downside risk. His downside risk protection method is similar to that of Warren Buffett and Seth Klarman; Joel Greenblatt looks for a margin of safety. As mentioned, a margin of safety refers to the difference between the estimate of what you think a business is worth and what it is trading for on the stock market. The larger the discount on the market, the more margin for error you have in your value calculation.\n"One way to create an attractive risk/reward situation is to limit downside risk severely by investing in situations that have a large margin of safety."\nIn addition to the margin of safety, Joel Greenblatt also recommends investing in situations where you are both knowledgeable and confident.\n"It makes sense that if you limit your investments to those situations where you are knowledgeable and confident, and only those situations, your success rate will be very high."\nThe underlying value of businesses does not bounce around much from day-to-day. Stock prices, however do.\n"Prices fluctuate more than values-so therein lies opportunity."\nRapidly fluctuating stock prices create opportunities when price falls below value. Patient investors must have the discipline to both buy and hold positions where price falls below value.\n"Time is the currency of everyone\'s life."\nDividend growth investors prefer buying and holding high-quality businesses for the long run. Businesses that reliably pay increasing dividends year-after-year provide rising income for dividend growth investors. When funds are invested in high-quality businesses, little else must be done. This builds wealth while taking less time than other investment methods. Day trading, for example, requires constant attention on a daily basis. This reduces the time you have to pursue other, more rewarding non-investment activities.\nSeth Klarman Investing Quotes\nSeth Klarman is the 60-year-old founder of the Baupost Group hedge fund. Baupost Group has about $30 billion in assets under management.\nSeth Klarman is a risk-averse value investor. He wrote the preface for the 6thedition of Security Analysis . Seth Klarman\'s own book, Margin of Safetysells for over $1,000 .\nLike Warren Buffett, Seth Klarman prefers to invest for long periods of time. While he is not in the \'hold forever\' camp, Seth Klarman does advocate a long-term mindset.\n"The single greatest edge an investor can have is a long-term orientation."\nThe above Seth Klarman quote is incredibly powerful. It spells out in no uncertain terms how important investing for the long-run is. Having a long-term orientation prevents speculation by forcing investors to focus on business fundamentals rather than short-term price movement.\nIndeed, the ability to sell when you want to instead of when you have to is tremendously powerful.\n"The trick of successful investors is to sell when they want to, not when they have to."\nTo have a long-term orientation, one must not be forced to sell their stocks. Dividend stocks are unique in their ability to provide both current income while maintaining long-term growth prospects. The ultimate goal of building a dividend growth portfolio is to have dividend income fully cover all expenses. In this scenario, investors only have to sell when they want to, never because they have to.\nWe described Klarman as a risk-averse value investor in the introduction to this section. Klarman has a laser-sharp focus on downside protection and loss avoidance.\n"The avoidance of loss is the surest way to ensure a profitable outcome."\nTaking unnecessary risk will lead to large losses. Loss avoidance is critical for investing success. When investors focus on minimizing downside risk, the upside tends to take care of itself. Investing in businesses with strong competitive advantages trading at fair or better prices is perhaps the best way to avoid long-term losses.\nKlarman has implemented the heavily-quantified characteristics taught by Benjamin Graham in Security Analysis and The Intelligent Investor . With that said, he warns against being precise instead of being accurate .\n"Many investors insist on affixing exact values to their investments, seeking precision in an imprecise world, but business value cannot be precisely determined."\nInvesting would be extremely easy if there were a way to precisely determine the value of a business. Discounted cash flow analysis uses various inputs and estimates and produces an \'exact business value\'. Of course, this value is not \'real\', it is only a projection based on the various inputs used in the formula. investors would be wise to avoid trying to label businesses with an exact value as such a task is impossible.\nKlarman also recognizes the importance of understanding a company\'s real operations. Buying shares of a company whose business is incomprehensible is a surefire way to lose money in the stock market.\n"If you don\'t quickly comprehend what a company is doing, then management probably doesn\'t either."\nAs discussed in the Warren Buffett section above, investors don\'t get bonus points or extra return for degree of difficulty. If a business is exceptionally difficult to understand, then anyone\'s analysis will likely miss important details. Further, it is more difficult to manage a complex business. Simple business models are easier to manage, measure, and improve.\nPeter Lynch Investing Quotes\nPeter Lynch averaged an investment return of 29.2% between 1977 and 1990 when he ran the Magellan Fund. He has shared his investing wisdom in several books including One up on Wall Street and Beating the Street .\nPeter Lynch\'s investing philosophy focuses on buying fast-growing stocks (typically small-caps) for cheap. Peter Lynch pioneered the PEG ratio. The PEG stand for price-to-earnings-to-growth. It is the P/E ratio divided by the growth rate. A PEG ratio under 1 signals a \'buy\' for Peter Lynch.\nLike Warren Buffett and Seth Klarman, Peter Lynch likes simple stocks - maybe even more than the two previously mentioned investors. The two quotes below emphasize simplicity in investing.\n"The simpler it is, the better I like it."\n"If you\'re prepared to invest in a company, then you ought to be able to explain why in simple language that a fifth grader could understand, and quickly enough so the fifth grader won\'t get bored."\nThe \'5th grader\' test above is an excellent litmus test to see if you really understand what a business does. If a 5th grader can understand the business model, then the company is likely very focused on what it does best.\n"Go for a business that any idiot can run - because sooner or later, any idiot is probably going to run it."\nIn keeping with the simplicity narrative, Peter Lynch recommends investing in businesses that \'any idiot can run\'. This means businesses with strong competitive advantages that are very straightforward. It is an unfortunate truth that often times the CEO\'s and top-level executives are the best at climbing the corporate ladder, and not necessarily the best at running a business (this, of course, is not always the case). A fantastic business has a much better chance at \'weathering the storm\' of incompetent management versus a mediocre business.\n"Stocks aren\'t lottery tickets. There\'s a company attached to every share."\nMany investors forget that stocks are fractional ownership of a business. They are not random ticker symbol lottery tickets that bounce up and down in value. Just because the stock market allows you to buy and sell every day does not mean it is advisable to do so. If you own your own business or are in a partnership, you would never consider selling every day. Why would it be any different in with fractional ownership of a larger business?\n"Owning stocks is like having children - don\'t get involved with more than you can handle."\nPeter Lynch (and Warren Buffett and Seth Klarman) advocates running a relatively concentrated portfolio. There is no point in buying 100\'s of securities - it is impossible to track the business operations of all of them. Rather, investors should invest in businesses they know and understand well. Over diversifying leads to mistakes.\nPhil Fisher Investing Quotes\nPhil Fisher is the secretive investor who ran the family office Fisher & Co., which invested money on behalf of approximately a dozen wealthy families. His investment knowledge has been distilled to the public through his excellent book Common Stocks and Uncommon Profits .\nPhil Fisher stands out among the investors covered in this article because he is a devoted growth investor. He believed in buying companies that are growing far faster than the other companies in their peer group.\n"The greatest investment reward comes to those who by good luck or good sense find the occasional company that over the years can grow in sales and profits far more than industry as a whole."\nTwo other components of his investment style stand out: his long-term investing style and his contrarian nature. These components of Phil Fisher\'s investing style can be seen in the following passage from Common Stocks and Uncommon Profits :\n"In studying the investment record both of myself and others, two matters were significant influences in causing this book to be written. One, which I mention several times elsewhere, is the need for patience if big profits are to be made from investment. Put another way, it is often easier to tell what will happen to the price of a stock than how much time will elapse before it happens. The other is the inherently deceptive nature of the stock market. Doing what everybody else is doing at the moment, and therefore what you have an almost irresistible urge to do, is often the wrong thing to do at all."\nFisher also believed that every investor\'s first-hand experience as a consumer was tremendously valuable for finding investment opportunities. This approach, which he calls "scuttlebutt investing," is quite similar to Peter Lynch\'s research style.\n"Every time you shop in a store, eat a hamburger or buy new sunglasses you\'re getting valuable input. By browsing around you can see what\'s selling and what isn\'t."\nAbove all, though, Fisher\'s most iconic characteristic is his long-term orientation. This can be seen in Fisher\'s best-known quote, which is shown below.\n"If the job has been correctly done when a common stock is purchased, the time to sell it is-almost never."\nFinal Thoughts\nAll of the investors mentioned in this article have excellent investing records. The combined wisdom of these investors shows what works in investing. In summary, investors should look for easy to understand businesses with strong competitive advantages. These businesses should be held for the long-run, or until they no longer have competitive advantages.\nInvestors should look for undervalued businesses. An excellent business trading at the value of a mediocre business is undervalued. If you buy quality for a normal price, you get a bargain. The 8 Rules of Dividend Investing use many of the ideas of great investors to find high quality dividend stocks trading at fair or better prices suitable for long-term holding.\nCompare Brokers\nThe post 27 Quotes From Investing Greats to Make You a Better Dividend Investor 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': 'Warren Buffett\'s portfolio is loaded with dividend growth stocks like The Coca-Cola Co (NYSE: KO ). Warren Buffett, Benjamin Graham, Joel Greenblatt, Seth Klarman, Peter Lynch, and Phil Fisher are all investing greats who have written books and/or shared their wisdom in annual reports. Graham introduces the margin of safety with the following passage in The Intelligent Investor : "The margin-of-safety idea becomes much more evident when we apply it to the field of undervalued or bargain securities.', 'news_luhn_summary': "Warren Buffett's portfolio is loaded with dividend growth stocks like The Coca-Cola Co (NYSE: KO ). Warren Buffett, Benjamin Graham, Joel Greenblatt, Seth Klarman, Peter Lynch, and Phil Fisher are all investing greats who have written books and/or shared their wisdom in annual reports. Warren Buffett: 19% CAGR over 50 years Seth Klarman: ~20% CAGR over 34 years Benjamin Graham: ~20% CAGR over 20 years Peter Lynch: 29% CAGR over 13 years Joel Greenblatt: 48% CAGR over 10 year This article will provide actionable investing quotes from six of the world's greatest investors.", 'news_article_title': '27 Quotes From Investing Greats to Make You a Better Dividend Investor', 'news_lexrank_summary': "Warren Buffett's portfolio is loaded with dividend growth stocks like The Coca-Cola Co (NYSE: KO ). Warren Buffett, Benjamin Graham, Joel Greenblatt, Seth Klarman, Peter Lynch, and Phil Fisher are all investing greats who have written books and/or shared their wisdom in annual reports. Stock prices, however do.", 'news_textrank_summary': "Warren Buffett's portfolio is loaded with dividend growth stocks like The Coca-Cola Co (NYSE: KO ). Warren Buffett: 19% CAGR over 50 years Seth Klarman: ~20% CAGR over 34 years Benjamin Graham: ~20% CAGR over 20 years Peter Lynch: 29% CAGR over 13 years Joel Greenblatt: 48% CAGR over 10 year This article will provide actionable investing quotes from six of the world's greatest investors. Over the years Warren Buffett has evolved from a strict value investor to an investor that looks for shareholder-friendly businesses with strong competitive advantages trading at fair or better prices."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 45.5099983215332, 'high': 45.93999862670898, 'open': 45.90999984741211, 'close': 45.540000915527344, 'ema_50': 45.88387669222624, 'rsi_14': 53.511692884755256, 'target': 45.43999862670898, 'volume': 10872200.0, 'ema_200': 45.09396317688913, 'adj_close': 41.91396331787109, 'rsi_lag_1': 60.67415890868157, 'rsi_lag_2': 48.99332811051873, 'rsi_lag_3': 42.44185079426683, 'rsi_lag_4': 43.58979096341151, 'rsi_lag_5': 40.36145408919494, 'macd_lag_1': -0.04152132236010431, 'macd_lag_2': -0.04898998305748137, 'macd_lag_3': -0.041519234857538834, 'macd_lag_4': -0.05276165233979668, 'macd_lag_5': -0.0541255499184885, 'macd_12_26_9': -0.06231914940067895, 'macds_12_26_9': -0.04904950147118659}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KNX
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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.
KOS
{'date': '2018-01-02', 'ticker': 'KOS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.869999885559082, 'high': 6.980000019073486, 'open': 6.909999847412109, 'close': 6.980000019073486, 'ema_50': 7.374623543642221, 'rsi_14': 30.275216113429565, 'target': 6.980000019073486, 'volume': 1850100.0, 'ema_200': 7.027247956293904, 'adj_close': 6.663236618041992, 'rsi_lag_1': 30.275216113429565, 'rsi_lag_2': 36.28317052992883, 'rsi_lag_3': 35.71428419375859, 'rsi_lag_4': 34.18803366553, 'rsi_lag_5': 31.60172561456801, 'macd_lag_1': -0.2390807978942613, 'macd_lag_2': -0.245089030707911, 'macd_lag_3': -0.25733823601165184, 'macd_lag_4': -0.2621023329661547, 'macd_lag_5': -0.2745524639802568, 'macd_12_26_9': -0.221278545986352, 'macds_12_26_9': -0.23972129316163518}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 6.980000019073486, '2018-01-04': 6.989999771118164, '2018-01-05': 6.929999828338623, '2018-01-08': 6.789999961853027, '2018-01-09': 6.639999866485596, '2018-01-10': 6.829999923706055, '2018-01-11': 6.860000133514404, '2018-01-12': 6.980000019073486, '2018-01-16': 6.860000133514404}, '1_month_later': {'2018-02-02': 6.659999847412109}, '3_months_later': {'2018-04-02': 5.949999809265137}, '6_months_later': {'2018-07-02': 7.860000133514404}, '12_months_later': {'2019-01-02': 4.119999885559082}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KNSL
{'date': '2018-01-02', 'ticker': 'KNSL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.0, 'high': 45.2599983215332, 'open': 45.18000030517578, 'close': 43.45000076293945, 'ema_50': 43.540154870650554, 'rsi_14': 56.275864318776264, 'target': 42.97999954223633, 'volume': 119700.0, 'ema_200': 38.91839294424823, 'adj_close': 43.01344299316406, 'rsi_lag_1': 73.4860919561041, 'rsi_lag_2': 73.84871950278385, 'rsi_lag_3': 62.87880407987982, 'rsi_lag_4': 66.14510728097625, 'rsi_lag_5': 63.7860355787565, 'macd_lag_1': 0.5373848310459479, 'macd_lag_2': 0.5504221092313557, 'macd_lag_3': 0.5203652594092674, 'macd_lag_4': 0.5090510373993524, 'macd_lag_5': 0.48007835547150535, 'macd_12_26_9': 0.39739973286114605, 'macds_12_26_9': 0.4164735678961956}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 42.97999954223633, '2018-01-04': 43.5099983215332, '2018-01-05': 44.959999084472656, '2018-01-08': 45.18999862670898, '2018-01-09': 44.13999938964844, '2018-01-10': 43.9900016784668, '2018-01-11': 43.97999954223633, '2018-01-12': 43.95000076293945, '2018-01-16': 43.72999954223633}, '1_month_later': {'2018-02-02': 47.560001373291016}, '3_months_later': {'2018-04-02': 50.34000015258789}, '6_months_later': {'2018-07-02': 55.16999816894531}, '12_months_later': {'2019-01-02': 55.68999862670898}}
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.
KNOP
{'date': '2018-01-02', 'ticker': 'KNOP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/4134804-3-safe-high-yield-plays-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '3 Safe High-Yield Plays For 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.75, 'high': 21.450000762939453, 'open': 20.75, 'close': 21.39999961853028, 'ema_50': 21.06090729435964, 'rsi_14': 70.73169143195827, 'target': 21.75, 'volume': 167700.0, 'ema_200': 21.940093893153858, 'adj_close': 16.395435333251953, 'rsi_lag_1': 61.643842058975146, 'rsi_lag_2': 56.338040276764424, 'rsi_lag_3': 63.63635913258721, 'rsi_lag_4': 61.250000596046775, 'rsi_lag_5': 50.72462726504762, 'macd_lag_1': -0.07906443503921423, 'macd_lag_2': -0.11288784368737481, 'macd_lag_3': -0.12896226209011274, 'macd_lag_4': -0.16287593892592866, 'macd_lag_5': -0.23942942072527273, 'macd_12_26_9': 0.00018822717516542298, 'macds_12_26_9': -0.1724416048866269}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 21.75, '2018-01-04': 21.799999237060547, '2018-01-05': 21.799999237060547, '2018-01-08': 21.799999237060547, '2018-01-09': 21.89999961853028, '2018-01-10': 21.600000381469727, '2018-01-11': 21.799999237060547, '2018-01-12': 22.0, '2018-01-16': 21.75}, '1_month_later': {'2018-02-02': 20.0}, '3_months_later': {'2018-04-02': 19.700000762939453}, '6_months_later': {'2018-07-02': 22.14999961853028}, '12_months_later': {'2019-01-02': 18.059999465942383}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KNL
{'date': '2018-01-02', 'ticker': 'KNL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/management/18/01/10975325/knoll-issues-statement-announcing-coo-joseph-coppola-has-passed-away', 'news_author': None, 'news_article': None, 'news_publisher': 'Hal Lindon', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Knoll Issues Statement Announcing COO Joseph Coppola Has Passed Away', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.88999938964844, 'high': 23.479999542236328, 'open': 23.200000762939453, 'close': 23.290000915527344, 'ema_50': 21.183370319768002, 'rsi_14': 78.4989759132633, 'target': 23.25, 'volume': 674300.0, 'ema_200': 21.083422950518862, 'adj_close': 21.586238861083984, 'rsi_lag_1': 77.44680125771258, 'rsi_lag_2': 75.10370701891637, 'rsi_lag_3': 71.13819388958868, 'rsi_lag_4': 68.19998306275707, 'rsi_lag_5': 58.278133984104606, 'macd_lag_1': 0.5668963392791255, 'macd_lag_2': 0.5255788625460873, 'macd_lag_3': 0.46723436448754896, 'macd_lag_4': 0.39818769984040614, 'macd_lag_5': 0.313430878683878, 'macd_12_26_9': 0.6127502445340269, 'macds_12_26_9': 0.4288107164963643}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.25, '2018-01-04': 23.15999984741211, '2018-01-05': 23.209999084472656, '2018-01-08': 23.38999938964844, '2018-01-09': 22.76000022888184, '2018-01-10': 22.76000022888184, '2018-01-11': 23.350000381469727, '2018-01-12': 23.32999992370605, '2018-01-16': 23.479999542236328}, '1_month_later': {'2018-02-02': 22.15999984741211}, '3_months_later': {'2018-04-02': 20.06999969482422}, '6_months_later': {'2018-07-02': 21.18000030517578}, '12_months_later': {'2019-01-02': 16.56999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KNDI
{'date': '2018-01-02', 'ticker': 'KNDI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.800000190734863, 'high': 7.199999809265137, 'open': 6.800000190734863, 'close': 7.199999809265137, 'ema_50': 7.030597693088974, 'rsi_14': 52.38095021842549, 'target': 7.0, 'volume': 209200.0, 'ema_200': 5.8825722146172845, 'adj_close': 7.199999809265137, 'rsi_lag_1': 36.84210922579236, 'rsi_lag_2': 41.66666666666667, 'rsi_lag_3': 50.0, 'rsi_lag_4': 48.83720569187914, 'rsi_lag_5': 48.83720569187914, 'macd_lag_1': -0.0893685930446102, 'macd_lag_2': -0.07405885680265101, 'macd_lag_3': -0.06871353487795862, 'macd_lag_4': -0.060891490750399235, 'macd_lag_5': -0.05511295216422152, 'macd_12_26_9': -0.068436153658606, 'macds_12_26_9': -0.07256733711785154}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 7.0, '2018-01-04': 7.199999809265137, '2018-01-05': 7.849999904632568, '2018-01-08': 7.880000114440918, '2018-01-09': 7.25, '2018-01-10': 7.179999828338623, '2018-01-11': 7.300000190734863, '2018-01-12': 7.199999809265137, '2018-01-16': 6.849999904632568}, '1_month_later': {'2018-02-02': 5.75}, '3_months_later': {'2018-04-02': 4.5}, '6_months_later': {'2018-07-02': 4.400000095367432}, '12_months_later': {'2019-01-02': 4.150000095367432}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KN
{'date': '2018-01-02', 'ticker': 'KN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.670000076293944, 'high': 15.140000343322754, 'open': 14.779999732971191, 'close': 15.09000015258789, 'ema_50': 15.336509265008953, 'rsi_14': 58.90411137863323, 'target': 15.380000114440918, 'volume': 895600.0, 'ema_200': 15.950319788095424, 'adj_close': 15.09000015258789, 'rsi_lag_1': 51.39441504478847, 'rsi_lag_2': 53.30577926162024, 'rsi_lag_3': 54.43546743473295, 'rsi_lag_4': 44.40789391129323, 'rsi_lag_5': 50.72463667961152, 'macd_lag_1': -0.2459315363756609, 'macd_lag_2': -0.2442791401197386, 'macd_lag_3': -0.25083510066281356, 'macd_lag_4': -0.23824528106913512, 'macd_lag_5': -0.22278343063359785, 'macd_12_26_9': -0.2101214915892058, 'macds_12_26_9': -0.24829112765295291}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.380000114440918, '2018-01-04': 15.31999969482422, '2018-01-05': 15.68000030517578, '2018-01-08': 15.960000038146973, '2018-01-09': 15.739999771118164, '2018-01-10': 15.600000381469728, '2018-01-11': 15.829999923706056, '2018-01-12': 16.170000076293945, '2018-01-16': 16.290000915527344}, '1_month_later': {'2018-02-02': 14.770000457763672}, '3_months_later': {'2018-04-02': 11.9399995803833}, '6_months_later': {'2018-07-02': 15.43000030517578}, '12_months_later': {'2019-01-02': 13.359999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KMT
{'date': '2018-01-02', 'ticker': 'KMT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.zacks.com/commentary/141960/top-ranked-momentum-stocks-to-buy-for-january-2nd?cid=CS-BENZ-FT-141960', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Top Ranked Momentum Stocks to Buy for January 2nd', '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': 48.380001068115234, 'high': 49.650001525878906, 'open': 48.61000061035156, 'close': 49.31999969482422, 'ema_50': 45.546186120974454, 'rsi_14': 70.68965193248172, 'target': 49.47999954223633, 'volume': 846200.0, 'ema_200': 40.39535095456037, 'adj_close': 46.52512741088867, 'rsi_lag_1': 68.6842059032422, 'rsi_lag_2': 68.41412686985038, 'rsi_lag_3': 69.88415017028659, 'rsi_lag_4': 66.83167101484983, 'rsi_lag_5': 62.140380696688446, 'macd_lag_1': 1.0340757574061499, 'macd_lag_2': 1.075676229936768, 'macd_lag_3': 1.108036529212427, 'macd_lag_4': 1.1260959018445291, 'macd_lag_5': 1.1358210727783487, 'macd_12_26_9': 1.0622910359018576, 'macds_12_26_9': 1.0469406403964787}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 49.47999954223633, '2018-01-04': 50.0, '2018-01-05': 50.2400016784668, '2018-01-08': 50.290000915527344, '2018-01-09': 50.790000915527344, '2018-01-10': 50.27999877929688, '2018-01-11': 51.380001068115234, '2018-01-12': 51.91999816894531, '2018-01-16': 50.95000076293945}, '1_month_later': {'2018-02-02': 46.68000030517578}, '3_months_later': {'2018-04-02': 38.58000183105469}, '6_months_later': {'2018-07-02': 35.619998931884766}, '12_months_later': {'2019-01-02': 33.540000915527344}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KMPR
{'date': '2018-01-02', 'ticker': 'KMPR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 68.25, 'high': 69.97000122070312, 'open': 69.05000305175781, 'close': 68.80000305175781, 'ema_50': 65.90414319715613, 'rsi_14': 52.94118175045552, 'target': 67.5, 'volume': 170100.0, 'ema_200': 53.45649381797644, 'adj_close': 66.70966339111328, 'rsi_lag_1': 57.608712778670174, 'rsi_lag_2': 58.24176653358529, 'rsi_lag_3': 59.776556314423765, 'rsi_lag_4': 61.20217759089207, 'rsi_lag_5': 56.52177158063824, 'macd_lag_1': 0.9060434171663445, 'macd_lag_2': 1.0278586165949122, 'macd_lag_3': 1.061479811892653, 'macd_lag_4': 1.0685888741766831, 'macd_lag_5': 1.0570290688632724, 'macd_12_26_9': 0.792301790992795, 'macds_12_26_9': 1.029490854994735}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 67.5, '2018-01-04': 68.44999694824219, '2018-01-05': 67.3499984741211, '2018-01-08': 68.6500015258789, '2018-01-09': 68.5, '2018-01-10': 67.80000305175781, '2018-01-11': 68.69999694824219, '2018-01-12': 69.5999984741211, '2018-01-16': 69.25}, '1_month_later': {'2018-02-02': 62.650001525878906}, '3_months_later': {'2018-04-02': 55.20000076293945}, '6_months_later': {'2018-07-02': 75.75}, '12_months_later': {'2019-01-02': 65.9800033569336}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KMI
{'date': '2018-01-02', 'ticker': 'KMI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/4134868-2017-portfolio-performance-review-tale-2-halves?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '2017 Portfolio Performance Review - A Tale Of 2 Halves', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134826-5-percent-dividend-yield-portfolio-meeting-return-goals-surviving-fomo-dec-2017-review?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '5%+ Dividend Yield Portfolio: Meeting Return Goals And Surviving FOMO (Dec 2017 Review)', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134774-getting-ready-2018-results-tip-day-series-tips-may-perform-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Getting Ready For 2018: Results Of The 'Tip Of The Day' Series And How All The Tips May Perform In 2018", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.190000534057617, 'high': 18.84000015258789, 'open': 18.31999969482422, 'close': 18.799999237060547, 'ema_50': 17.94880137645251, 'rsi_14': 68.42106584037157, 'target': 18.959999084472656, 'volume': 16189100.0, 'ema_200': 19.05240134083174, 'adj_close': 16.970157623291016, 'rsi_lag_1': 58.13951167365659, 'rsi_lag_2': 74.86910681064002, 'rsi_lag_3': 75.63453251062354, 'rsi_lag_4': 74.37191613024422, 'rsi_lag_5': 69.60785230368774, 'macd_lag_1': 0.15716822635130967, 'macd_lag_2': 0.16071579824427573, 'macd_lag_3': 0.13846976533571365, 'macd_lag_4': 0.12740694691972365, 'macd_lag_5': 0.11245178094518238, 'macd_12_26_9': 0.21083128050129574, 'macds_12_26_9': 0.12220674216281682}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 18.959999084472656, '2018-01-04': 19.01000022888184, '2018-01-05': 18.950000762939453, '2018-01-08': 18.86000061035156, '2018-01-09': 18.940000534057617, '2018-01-10': 18.8799991607666, '2018-01-11': 19.200000762939453, '2018-01-12': 19.520000457763672, '2018-01-16': 19.38999938964844}, '1_month_later': {'2018-02-02': 17.5}, '3_months_later': {'2018-04-02': 14.899999618530272}, '6_months_later': {'2018-07-02': 17.43000030517578}, '12_months_later': {'2019-01-02': 15.800000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KNOW
{'date': '2018-01-02', 'ticker': 'KNOW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 41.560001373291016, 'high': 41.93000030517578, 'open': 41.560001373291016, 'close': 41.84000015258789, 'ema_50': 41.75927011697724, 'rsi_14': 35.328170969250436, 'target': 41.97999954223633, 'volume': 18500.0, 'ema_200': 40.49087943444848, 'adj_close': 38.80069351196289, 'rsi_lag_1': 31.771870042249162, 'rsi_lag_2': 37.09678411732042, 'rsi_lag_3': 38.70331676549413, 'rsi_lag_4': 38.17830188051557, 'rsi_lag_5': 34.816222749213765, 'macd_lag_1': -0.18521193342147768, 'macd_lag_2': -0.18289158904713787, 'macd_lag_3': -0.20068787977818658, 'macd_lag_4': -0.20622883838664308, 'macd_lag_5': -0.2143742447604211, 'macd_12_26_9': -0.15779667044939316, 'macds_12_26_9': -0.13752587495782304}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 41.97999954223633, '2018-01-04': 41.93999862670898, '2018-01-05': 42.11000061035156, '2018-01-08': 42.2400016784668, '2018-01-09': 42.150001525878906, '2018-01-10': 42.18999862670898, '2018-01-11': 42.619998931884766, '2018-01-12': 42.90999984741211, '2018-01-16': 42.720001220703125}, '1_month_later': {'2018-02-02': 41.79999923706055}, '3_months_later': {'2018-04-02': 39.65999984741211}, '6_months_later': {'2018-07-02': 41.43000030517578}, '12_months_later': {'2019-01-02': 34.0099983215332}}
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.
KTP
{'date': '2018-01-02', 'ticker': 'KTP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.300000190734863, 'high': 14.75, 'open': 14.399999618530272, 'close': 14.40999984741211, 'ema_50': 13.665024439128253, 'rsi_14': 59.59885559074524, 'target': 14.65999984741211, 'volume': 77200.0, 'ema_200': 15.693485423319748, 'adj_close': 9.553628921508787, 'rsi_lag_1': 63.84616306312318, 'rsi_lag_2': 64.1221353669329, 'rsi_lag_3': 62.5994686237314, 'rsi_lag_4': 61.13989291669457, 'rsi_lag_5': 62.31156248494906, 'macd_lag_1': 0.28346644698238244, 'macd_lag_2': 0.25952176102594926, 'macd_lag_3': 0.2394393530195007, 'macd_lag_4': 0.22966965240594384, 'macd_lag_5': 0.20062293702657286, 'macd_12_26_9': 0.3101641841910556, 'macds_12_26_9': 0.22169807007941594}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.65999984741211, '2018-01-04': 15.329999923706056, '2018-01-05': 15.43000030517578, '2018-01-08': 15.15999984741211, '2018-01-09': 15.300000190734863, '2018-01-10': 15.510000228881836, '2018-01-11': 15.43000030517578, '2018-01-12': 15.5600004196167, '2018-01-16': 15.43000030517578}, '1_month_later': {'2018-02-02': 15.5600004196167}, '3_months_later': {'2018-04-02': 13.300000190734863}, '6_months_later': {'2018-07-02': 13.270000457763672}, '12_months_later': {'2019-01-02': 7.309999942779541}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KTOS
{'date': '2018-01-02', 'ticker': 'KTOS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/18/01/10971706/a-peek-into-the-markets-u-s-stock-futures-mixed-on-first-trading-day-of-2018', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'A Peek Into The Markets: U.S. Stock Futures Mixed On First Trading Day Of 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/contracts/18/01/10971600/kratos-wins-a-93m-contract-for-unmanned-aerial-drone-systems-from-the-', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Kratos Wins a $93M Contract for Unmanned Aerial Drone Systems From the US Army', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320571-kratos-announces-93m-drone-contract?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Kratos announces $93M drone contract', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134761-wall-street-breakfast-cards-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Wall Street Breakfast: What's In The Cards For 2018?", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320536-u-s-testing-flying-aircraft-carriers?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'U.S. testing flying aircraft carriers', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.770000457763672, 'high': 11.09000015258789, 'open': 11.020000457763672, 'close': 10.960000038146973, 'ema_50': 10.993046997877755, 'rsi_14': 69.49151903119593, 'target': 10.949999809265137, 'volume': 1476800.0, 'ema_200': 10.673444274767883, 'adj_close': 10.960000038146973, 'rsi_lag_1': 65.16129707074356, 'rsi_lag_2': 52.87957095658487, 'rsi_lag_3': 60.63348084346162, 'rsi_lag_4': 63.55932032161428, 'rsi_lag_5': 70.09346002636406, 'macd_lag_1': -0.012813486601535473, 'macd_lag_2': -0.0008167006658954534, 'macd_lag_3': 0.010434716549335477, 'macd_lag_4': 0.021589320378993193, 'macd_lag_5': 0.03449441948446008, 'macd_12_26_9': 0.0074490051641600274, 'macds_12_26_9': -0.02768908622762967}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.949999809265137, '2018-01-04': 11.420000076293944, '2018-01-05': 11.729999542236328, '2018-01-08': 11.710000038146973, '2018-01-09': 11.289999961853027, '2018-01-10': 11.199999809265137, '2018-01-11': 11.369999885559082, '2018-01-12': 11.329999923706056, '2018-01-16': 10.989999771118164}, '1_month_later': {'2018-02-02': 11.350000381469728}, '3_months_later': {'2018-04-02': 10.350000381469728}, '6_months_later': {'2018-07-02': 11.359999656677246}, '12_months_later': {'2019-01-02': 13.869999885559082}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KTN
{'date': '2018-01-02', 'ticker': 'KTN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.5, 'high': 33.220001220703125, 'open': 33.220001220703125, 'close': 32.5, 'ema_50': 33.276233885149566, 'rsi_14': 35.21127517297775, 'target': 32.619998931884766, 'volume': 1100.0, 'ema_200': 32.880632485418396, 'adj_close': 28.4886417388916, 'rsi_lag_1': 42.17874743599989, 'rsi_lag_2': 43.05555261211506, 'rsi_lag_3': 63.26535378636423, 'rsi_lag_4': 57.83578584178118, 'rsi_lag_5': 59.61539025843122, 'macd_lag_1': 0.0447126561103488, 'macd_lag_2': 0.1285340799473289, 'macd_lag_3': 0.23161470041863907, 'macd_lag_4': 0.24272305045187892, 'macd_lag_5': 0.2513348055573488, 'macd_12_26_9': -0.039816487371773235, 'macds_12_26_9': 0.12451495601685035}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.619998931884766, '2018-01-04': 32.29999923706055, '2018-01-05': 32.5, '2018-01-08': 32.72999954223633, '2018-01-09': 32.9900016784668, '2018-01-10': 32.5, '2018-01-11': 32.459999084472656, '2018-01-12': 32.95000076293945, '2018-01-16': 32.959999084472656}, '1_month_later': {'2018-02-02': 32.27000045776367}, '3_months_later': {'2018-04-02': 30.549999237060547}, '6_months_later': {'2018-07-02': 31.31999969482422}, '12_months_later': {'2019-01-02': 29.100000381469727}}
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.
KTH
{'date': '2018-01-02', 'ticker': 'KTH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.540000915527344, 'high': 32.540000915527344, 'open': 32.540000915527344, 'close': 32.540000915527344, 'ema_50': 32.59086696112415, 'rsi_14': 55.87192380373161, 'target': 32.540000915527344, 'volume': 400.0, 'ema_200': 32.458234164581576, 'adj_close': 28.71552085876465, 'rsi_lag_1': 47.56945272287523, 'rsi_lag_2': 47.735172186460346, 'rsi_lag_3': 46.61924316986255, 'rsi_lag_4': 51.20274238372398, 'rsi_lag_5': 57.43945321781002, 'macd_lag_1': -0.08489227003609301, 'macd_lag_2': -0.08105487322193738, 'macd_lag_3': -0.07599599041566307, 'macd_lag_4': -0.06232477780735479, 'macd_lag_5': -0.05211404952101617, 'macd_12_26_9': -0.07097686741910536, 'macds_12_26_9': -0.07174152391480698}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.540000915527344, '2018-01-04': 32.04999923706055, '2018-01-05': 32.29999923706055, '2018-01-08': 32.29999923706055, '2018-01-09': 32.40999984741211, '2018-01-10': 32.40999984741211, '2018-01-11': 32.099998474121094, '2018-01-12': 32.310001373291016, '2018-01-16': 32.29999923706055}, '1_month_later': {'2018-02-02': 30.75}, '3_months_later': {'2018-04-02': 31.950000762939453}, '6_months_later': {'2018-07-02': 33.59000015258789}, '12_months_later': {'2019-01-02': 29.5}}
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.
KTF
{'date': '2018-01-02', 'ticker': 'KTF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.869999885559082, 'high': 11.920000076293944, 'open': 11.920000076293944, 'close': 11.920000076293944, 'ema_50': 12.019774509388274, 'rsi_14': 43.103453945745656, 'target': 11.9399995803833, 'volume': 150100.0, 'ema_200': 12.688768636371373, 'adj_close': 10.545785903930664, 'rsi_lag_1': 39.65509870530461, 'rsi_lag_2': 36.0655814593392, 'rsi_lag_3': 32.81248835847407, 'rsi_lag_4': 32.812488358474255, 'rsi_lag_5': 51.136388266352235, 'macd_lag_1': -0.030434865299314495, 'macd_lag_2': -0.03541499320864183, 'macd_lag_3': -0.04023821218146928, 'macd_lag_4': -0.04479090527981455, 'macd_lag_5': -0.041804846343923785, 'macd_12_26_9': -0.02459074149975926, 'macds_12_26_9': -0.03252209345836566}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.9399995803833, '2018-01-04': 11.93000030517578, '2018-01-05': 11.949999809265137, '2018-01-08': 11.949999809265137, '2018-01-09': 11.9399995803833, '2018-01-10': 11.890000343322754, '2018-01-11': 11.850000381469728, '2018-01-12': 11.800000190734863, '2018-01-16': 11.779999732971191}, '1_month_later': {'2018-02-02': 11.25}, '3_months_later': {'2018-04-02': 11.220000267028809}, '6_months_later': {'2018-07-02': 11.020000457763672}, '12_months_later': {'2019-01-02': 10.550000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KTCC
{'date': '2018-01-02', 'ticker': 'KTCC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, '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': 6.909999847412109, 'open': 6.809999942779541, 'close': 6.889999866485596, 'ema_50': 7.125994245281514, 'rsi_14': 44.303780659460585, 'target': 6.869999885559082, 'volume': 34700.0, 'ema_200': 7.181373461389497, 'adj_close': 6.889999866485596, 'rsi_lag_1': 42.10526315789475, 'rsi_lag_2': 48.484848484848484, 'rsi_lag_3': 53.62317238100306, 'rsi_lag_4': 42.857142857142854, 'rsi_lag_5': 34.28569093041854, 'macd_lag_1': -0.12980816915639615, 'macd_lag_2': -0.12901695517596234, 'macd_lag_3': -0.14140315659782043, 'macd_lag_4': -0.1571920421928148, 'macd_lag_5': -0.15673071667132277, 'macd_12_26_9': -0.12336474953507448, 'macds_12_26_9': -0.13150977169938016}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 6.869999885559082, '2018-01-04': 6.889999866485596, '2018-01-05': 6.909999847412109, '2018-01-08': 6.960000038146973, '2018-01-09': 6.929999828338623, '2018-01-10': 6.909999847412109, '2018-01-11': 7.130000114440918, '2018-01-12': 7.199999809265137, '2018-01-16': 7.239999771118164}, '1_month_later': {'2018-02-02': 7.239999771118164}, '3_months_later': {'2018-04-02': 6.96999979019165}, '6_months_later': {'2018-07-02': 7.429999828338623}, '12_months_later': {'2019-01-02': 5.730000019073486}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
kt
{'date': '2018-01-02', 'ticker': 'kt', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.600000381469728, 'high': 15.779999732971191, 'open': 15.65999984741211, 'close': 15.760000228881836, 'ema_50': 15.184759672778739, 'rsi_14': 59.71225094681377, 'target': 15.579999923706056, 'volume': 375600.0, 'ema_200': 15.413620383373376, 'adj_close': 15.760000228881836, 'rsi_lag_1': 60.563367038824, 'rsi_lag_2': 46.783632253858336, 'rsi_lag_3': 55.26315789473684, 'rsi_lag_4': 48.76540302774134, 'rsi_lag_5': 47.13375254515673, 'macd_lag_1': 0.21283194754571966, 'macd_lag_2': 0.2269219520113328, 'macd_lag_3': 0.24771427494141385, 'macd_lag_4': 0.2472315879089635, 'macd_lag_5': 0.24811033642005675, 'macd_12_26_9': 0.2113331925699402, 'macds_12_26_9': 0.24023267675587887}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.579999923706056, '2018-01-04': 15.59000015258789, '2018-01-05': 15.880000114440918, '2018-01-08': 15.869999885559082, '2018-01-09': 15.979999542236328, '2018-01-10': 15.829999923706056, '2018-01-11': 15.800000190734863, '2018-01-12': 15.880000114440918, '2018-01-16': 15.81999969482422}, '1_month_later': {'2018-02-02': 14.8100004196167}, '3_months_later': {'2018-04-02': 13.770000457763672}, '6_months_later': {'2018-07-02': 13.170000076293944}, '12_months_later': {'2019-01-02': 14.43000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KSU
{'date': '2018-01-02', 'ticker': 'KSU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 105.22000122070312, 'high': 107.18000030517578, 'open': 106.27999877929688, 'close': 107.16000366210938, 'ema_50': 107.64682894684641, 'rsi_14': 36.72533388126504, 'target': 107.08999633789062, 'volume': 1370400.0, 'ema_200': 102.05213459007581, 'adj_close': 104.23036193847656, 'rsi_lag_1': 23.36598893362232, 'rsi_lag_2': 25.08331945205613, 'rsi_lag_3': 29.775254009902355, 'rsi_lag_4': 29.41718670379963, 'rsi_lag_5': 27.390152351512356, 'macd_lag_1': -0.27772115710976664, 'macd_lag_2': 0.00042275081374043566, 'macd_lag_3': 0.315720342696423, 'macd_lag_4': 0.5618535543127479, 'macd_lag_5': 0.8128547085866131, 'macd_12_26_9': -0.3377172303039231, 'macds_12_26_9': 0.3823077259862116}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 107.08999633789062, '2018-01-04': 107.0, '2018-01-05': 109.19000244140624, '2018-01-08': 109.94000244140624, '2018-01-09': 110.47000122070312, '2018-01-10': 106.54000091552734, '2018-01-11': 107.6500015258789, '2018-01-12': 110.4000015258789, '2018-01-16': 111.0}, '1_month_later': {'2018-02-02': 110.1500015258789}, '3_months_later': {'2018-04-02': 108.2300033569336}, '6_months_later': {'2018-07-02': 106.9499969482422}, '12_months_later': {'2019-01-02': 96.2699966430664}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KSA
{'date': '2018-01-02', 'ticker': 'KSA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.88999938964844, 'high': 26.01000022888184, 'open': 25.90999984741211, 'close': 25.999000549316406, 'ema_50': 25.505333924226996, 'rsi_14': 58.94918919271254, 'target': 26.450000762939453, 'volume': 19700.0, 'ema_200': 25.317634098278635, 'adj_close': 22.954286575317383, 'rsi_lag_1': 64.05532546251047, 'rsi_lag_2': 68.0000033908449, 'rsi_lag_3': 57.894754453828845, 'rsi_lag_4': 49.85165690352898, 'rsi_lag_5': 53.50313983280975, 'macd_lag_1': 0.16979090747091874, 'macd_lag_2': 0.1358467964743646, 'macd_lag_3': 0.08443677759409596, 'macd_lag_4': 0.08275430185884503, 'macd_lag_5': 0.09467584050734246, 'macd_12_26_9': 0.1800116303487087, 'macds_12_26_9': 0.12093446444759892}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.450000762939453, '2018-01-04': 26.6200008392334, '2018-01-05': 26.566999435424805, '2018-01-08': 26.64999961853028, '2018-01-09': 26.458999633789062, '2018-01-10': 26.540000915527344, '2018-01-11': 26.71999931335449, '2018-01-12': 27.64999961853028, '2018-01-16': 27.780000686645508}, '1_month_later': {'2018-02-02': 27.21999931335449}, '3_months_later': {'2018-04-02': 28.770000457763672}, '6_months_later': {'2018-07-02': 30.850000381469727}, '12_months_later': {'2019-01-02': 29.270000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KPTI
{'date': '2018-01-02', 'ticker': 'KPTI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.5600004196167, 'high': 9.960000038146973, 'open': 9.6899995803833, 'close': 9.920000076293944, 'ema_50': 10.275403895580293, 'rsi_14': 40.199333758737474, 'target': 10.100000381469728, 'volume': 107100.0, 'ema_200': 10.173943097936839, 'adj_close': 9.920000076293944, 'rsi_lag_1': 27.05168248152438, 'rsi_lag_2': 38.268154043445996, 'rsi_lag_3': 41.22340681866944, 'rsi_lag_4': 36.97270148501062, 'rsi_lag_5': 33.94077399262433, 'macd_lag_1': -0.33022646765624586, 'macd_lag_2': -0.3465144797195876, 'macd_lag_3': -0.38160910723263264, 'macd_lag_4': -0.40863376553260977, 'macd_lag_5': -0.4310741591758642, 'macd_12_26_9': -0.2881748988724233, 'macds_12_26_9': -0.34440310419122094}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.100000381469728, '2018-01-04': 10.170000076293944, '2018-01-05': 10.25, '2018-01-08': 10.0600004196167, '2018-01-09': 10.079999923706056, '2018-01-10': 10.010000228881836, '2018-01-11': 10.520000457763672, '2018-01-12': 10.779999732971191, '2018-01-16': 10.039999961853027}, '1_month_later': {'2018-02-02': 11.65999984741211}, '3_months_later': {'2018-04-02': 12.539999961853027}, '6_months_later': {'2018-07-02': 18.049999237060547}, '12_months_later': {'2019-01-02': 9.5600004196167}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KRYS
{'date': '2018-01-02', 'ticker': 'KRYS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.18000030517578, 'high': 10.989999771118164, 'open': 10.0, 'close': 9.18000030517578, 'ema_50': 9.941308067403618, 'rsi_14': 39.43262745212623, 'target': 10.609999656677246, 'volume': 72300.0, 'ema_200': 10.310674277580006, 'adj_close': 9.18000030517578, 'rsi_lag_1': 52.51215857267283, 'rsi_lag_2': 45.65972239468936, 'rsi_lag_3': 35.46392024215852, 'rsi_lag_4': 32.43802251340807, 'rsi_lag_5': 33.982691846416344, 'macd_lag_1': -0.20197943145734953, 'macd_lag_2': -0.3119632519831157, 'macd_lag_3': -0.38569580073499843, 'macd_lag_4': -0.3764497656108343, 'macd_lag_5': -0.3439001412112983, 'macd_12_26_9': -0.22040261066545774, 'macds_12_26_9': -0.24240491818295426}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.609999656677246, '2018-01-04': 10.520000457763672, '2018-01-05': 10.34000015258789, '2018-01-08': 10.609999656677246, '2018-01-09': 10.199999809265137, '2018-01-10': 10.0600004196167, '2018-01-11': 10.5, '2018-01-12': 10.050000190734863, '2018-01-16': 9.869999885559082}, '1_month_later': {'2018-02-02': 9.529999732971191}, '3_months_later': {'2018-04-02': 9.65999984741211}, '6_months_later': {'2018-07-02': 14.43000030517578}, '12_months_later': {'2019-01-02': 22.84000015258789}}
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.
KRO
{'date': '2018-01-02', 'ticker': 'KRO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/lyondellbasell-hits-new-52-week-high%3A-whats-driving-it-2018-01-02', 'news_author': None, 'news_article': 'Shares of LyondellBasell Industries N.V.LYB scaled a fresh 52-week high of $111.62 on Dec 29, before eventually closing the day at $110.32.\nThe company has a market cap of roughly $43.5 billion. Average volume of shares traded in the last three months is around 2,095.8K. It has an expected long-term EPS growth of 9%.\nShares of LyondellBasell have moved up 10.6% in the past three months, outperforming the industry \'s 3.8% growth.\nDriving Factors\nDuring third-quarter earnings call, LyondellBasell noted that Hurricane Harvey led to reduced inventories across the petrochemical industry. This has resulted in further delays in the startup of new U.S. ethylene and derivative capacity. The company expects global markets to remain tight to balanced as the industry works to rebuild inventories during the fourth quarter.\nThe company is benefiting from the favorable North American natural gas environment. It is executing its expansion projects to leverage the U.S. natural gas liquids advantage. The company\'s expansion initiatives are likely to boost the capacity and add to its earnings.\nLyondellBasell is constructing a high-density polyethylene (HDPE) plant on the U.S. Gulf Coast that will employ its proprietary Hyperzone PE technology. The facility is expected to have an annual capacity of 1.1 billion pounds.\nFurthermore, the company has started production at its polypropylene (PP) compounding plant in Dalian, China. The 20 kiloton per year plant is LyondellBasell\'s third facility in China. It is strategically located to cater the country\'s growing automotive market.\nIn November, LyondellBasell entered into a definitive agreement to buy 50% interest in Quality Circular Polymers ("QCP") - a high standard plastics recycling company located in Sittard-Geleen, Netherlands. Per the agreement, LyondellBasell will be a 50/50 partner in QCP along with SUEZ - a French company specializing in waste and water management.\nThe deal combines LyondellBasell\'s technical capabilities and European market presence with SUEZ\'s ability to collect and recover waste into new materials. The new venture is likely to provide a strategic platform for sustainable growth.\nLyondellBasell Industries NV Price and Consensus\nLyondellBasell Industries NV Price and Consensus | LyondellBasell Industries NV Quote\nZacks Rank & Stocks to Consider\nLyondellBasell currently carries a Zacks Rank #3 (Hold).\nSome better-ranked stocks in the basic materials space are Huntsman Corporation HUN , Daqo New Energy Corp. DQ and Kronos Worldwide Inc. KRO , each sporting a Zacks Rank #1 (Strong Buy). You can see the complete list of today\'s Zacks #1 Rank stocks here .\nHuntsman has an expected long-term earnings growth rate of 8%. Its shares have soared 72.8% year to date.\nDaqo New Energy has an expected long-term earnings growth rate of 7%. Its shares have rallied a whopping 199.4% year to date.\nKronos Worldwide has an expected long-term earnings growth rate of 5%. Its shares have surged 113.2% year to date.\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\nKronos Worldwide Inc (KRO): Free Stock Analysis Report\nHuntsman Corporation (HUN): Free Stock Analysis Report\nLyondellBasell Industries NV (LYB): Free Stock Analysis Report\nDAQO New Energy Corp. (DQ): 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': 'Some better-ranked stocks in the basic materials space are Huntsman Corporation HUN , Daqo New Energy Corp. DQ and Kronos Worldwide Inc. KRO , each sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has an expected long-term earnings growth rate of 5%. Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report LyondellBasell Industries NV (LYB): Free Stock Analysis Report DAQO New Energy Corp. (DQ): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_luhn_summary': 'Some better-ranked stocks in the basic materials space are Huntsman Corporation HUN , Daqo New Energy Corp. DQ and Kronos Worldwide Inc. KRO , each sporting a Zacks Rank #1 (Strong Buy). Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report LyondellBasell Industries NV (LYB): Free Stock Analysis Report DAQO New Energy Corp. (DQ): Free Stock Analysis Report To read this article on Zacks.com click here. Kronos Worldwide has an expected long-term earnings growth rate of 5%.', 'news_article_title': "LyondellBasell Hits New 52-Week High: What's Driving It?", 'news_lexrank_summary': 'Some better-ranked stocks in the basic materials space are Huntsman Corporation HUN , Daqo New Energy Corp. DQ and Kronos Worldwide Inc. KRO , each sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has an expected long-term earnings growth rate of 5%. Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report LyondellBasell Industries NV (LYB): Free Stock Analysis Report DAQO New Energy Corp. (DQ): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_textrank_summary': 'Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report LyondellBasell Industries NV (LYB): Free Stock Analysis Report DAQO New Energy Corp. (DQ): Free Stock Analysis Report To read this article on Zacks.com click here. Some better-ranked stocks in the basic materials space are Huntsman Corporation HUN , Daqo New Energy Corp. DQ and Kronos Worldwide Inc. KRO , each sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has an expected long-term earnings growth rate of 5%.'}, {'news_url': 'https://www.nasdaq.com/articles/potash-corp-pot-hits-new-52-week-high%3A-whats-driving-it-2018-01-02', 'news_author': None, 'news_article': 'Shares of Potash Corporation of Saskatchewan Inc.POT scaled a fresh 52-week high of $21.04 on Dec 29, before eventually closing the day at $20.65.\nThe company has a market cap of roughly $17.6 billion. Average volume of shares traded in the last three months is around 3,758.1K. It has an expected long-term EPS growth of 6.5%.\nPotash Corporation of Saskatchewan Inc. Price and Consensus\nPotash Corporation of Saskatchewan Inc. Price and Consensus | Potash Corporation of Saskatchewan Inc. Quote\nDriving Factors\nPotash Corp expects strong customer engagement in all key potash markets and robust demand to continue into 2018. For 2017, the company anticipates global shipment at 62-65 million tons, with total shipments in North America to approach the higher end of 9.3-9.8 million tons range.\nThe company expects nutrient affordability to continue driving strong consumption in China. The demand environment in India is improving, supported by favorable monsoon, higher minimum support price and considerable agronomic need.\nPotash Corp and Agrium Inc. AGU have agreed to combine their businesses to create a fertilizer giant with a pro forma enterprise value of $36 billion. The integrated company, Nutrien, is expected to generate as much as $500 million of annual operating synergies.\nThe companies have obtained regulatory approval in China, Canada, Russia, India and Brazil for the deal. Recently, Potash Corp and Agrium have also received the regulatory approval required to close their merger of equals transaction from the United States\' Federal Trade Commission (FTC). The transaction is subject to customary closing conditions and is expected to close effective Jan 1, 2018. The FTC approval provides a final clearance for the merger involving two industry leaders.\nShares of Potash Corp have gained 7.7% in the past three months, underperforming the industry \'s 9% growth.\nZacks Rank & Stocks to Consider\nPotash Corp currently carries a Zacks Rank #3 (Hold).\nSome better-ranked stocks in the basic materials space are Huntsman Corporation HUN and Kronos Worldwide Inc. KRO sporting a Zacks Rank #1 (Strong Buy). You can see the complete list of today\'s Zacks #1 Rank stocks here .\nHuntsman has an expected long-term earnings growth rate of 8%. Its shares have soared 72.8% year to date.\nKronos Worldwide has an expected long-term earnings growth rate of 5%. Its shares have surged 113.2% year to date.\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\nKronos Worldwide Inc (KRO): Free Stock Analysis Report\nHuntsman Corporation (HUN): Free Stock Analysis Report\nPotash Corporation of Saskatchewan Inc. (POT): Free Stock Analysis Report\nAgrium Inc. (AGU): 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': 'Some better-ranked stocks in the basic materials space are Huntsman Corporation HUN and Kronos Worldwide Inc. KRO sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has an expected long-term earnings growth rate of 5%. Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Potash Corporation of Saskatchewan Inc. (POT): Free Stock Analysis Report Agrium Inc. (AGU): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_luhn_summary': 'Some better-ranked stocks in the basic materials space are Huntsman Corporation HUN and Kronos Worldwide Inc. KRO sporting a Zacks Rank #1 (Strong Buy). Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Potash Corporation of Saskatchewan Inc. (POT): Free Stock Analysis Report Agrium Inc. (AGU): Free Stock Analysis Report To read this article on Zacks.com click here. Kronos Worldwide has an expected long-term earnings growth rate of 5%.', 'news_article_title': "Potash Corp (POT) Hits New 52-Week High: What's Driving It?", 'news_lexrank_summary': 'Some better-ranked stocks in the basic materials space are Huntsman Corporation HUN and Kronos Worldwide Inc. KRO sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has an expected long-term earnings growth rate of 5%. Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Potash Corporation of Saskatchewan Inc. (POT): Free Stock Analysis Report Agrium Inc. (AGU): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_textrank_summary': 'Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Potash Corporation of Saskatchewan Inc. (POT): Free Stock Analysis Report Agrium Inc. (AGU): Free Stock Analysis Report To read this article on Zacks.com click here. Some better-ranked stocks in the basic materials space are Huntsman Corporation HUN and Kronos Worldwide Inc. KRO sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has an expected long-term earnings growth rate of 5%.'}, {'news_url': 'https://www.nasdaq.com/articles/westlake-chemical-hits-new-52-week-high%3A-whats-driving-it-2018-01-02', 'news_author': None, 'news_article': 'Shares of Westlake Chemical CorporationWLK scaled a fresh 52-week high of $107.51 on Dec 29, before eventually closing the day at $106.53.\nWestlake Chemical has a market cap of roughly $13.8 billion. Average volume of shares traded in the last three months is around 800.2K. The company has an expected long-term EPS growth of 10.6%.\nNotably, Westlake Chemical has an impressive earnings surprise history as the company has topped the Zacks Consensus Estimate in the trailing four quarters, with an average positive surprise of 23.5%.\nShares of Westlake Chemical have rallied 59.1% in the past six months, outperforming the industry \'s 34% growth.\nDriving Factors\nIn the third-quarter call, the company benefited from increased demand for all major products in both Vinyls and Olefins segments along with higher prices in the Vinyls segment. The company sees increased ethylene availability with the start-up of new ethylene plants and completion of capacity expansions.\nWestlake Chemical is likely to continue to benefiting from the Axiall acquisition. The acquisition has diversified the company\'s product portfolio and geographical operations, creating a North American leader in Olefins and Vinyls. The company is on track to realize around $120 million in synergies and cost savings related to the buyout in 2017.\nThe Axiall buyout and continued investments to improve the reliability and operational efficiency of its assets will help the company leverage the improving Vinyls market. The company will also likely benefit from favorable demand trends for all of its major products, going ahead.\nWestlake Chemical Corporation Price and Consensus\nWestlake Chemical Corporation Price and Consensus | Westlake Chemical Corporation Quote\nZacks Rank & Stocks to Consider\nWestlake Chemical carries a Zacks Rank #3 (Hold).\nSome better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). You can see the complete list of today\'s Zacks #1 Rank stocks here .\nKronos Worldwide has expected long-term earnings growth of 5%. Its shares have skyrocketed 113.2% yearly.\nKoppers has expected long-term earnings growth of 18%. Shares of the company have rallied 25.2% yearly.\nHuntsman has expected long-term earnings growth of 8%. Its shares have soared 72.9% year to date.\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\nKronos Worldwide Inc (KRO): Free Stock Analysis Report\nKoppers Holdings Inc. (KOP): Free Stock Analysis Report\nHuntsman Corporation (HUN): Free Stock Analysis Report\nWestlake Chemical Corporation (WLK): 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': 'Some better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has expected long-term earnings growth of 5%. Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Koppers Holdings Inc. (KOP): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Westlake Chemical Corporation (WLK): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_luhn_summary': 'Some better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Koppers Holdings Inc. (KOP): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Westlake Chemical Corporation (WLK): Free Stock Analysis Report To read this article on Zacks.com click here. Kronos Worldwide has expected long-term earnings growth of 5%.', 'news_article_title': "Westlake Chemical Hits New 52-Week High: What's Driving It?", 'news_lexrank_summary': 'Some better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has expected long-term earnings growth of 5%. Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Koppers Holdings Inc. (KOP): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Westlake Chemical Corporation (WLK): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_textrank_summary': 'Click to get this free report Kronos Worldwide Inc (KRO): Free Stock Analysis Report Koppers Holdings Inc. (KOP): Free Stock Analysis Report Huntsman Corporation (HUN): Free Stock Analysis Report Westlake Chemical Corporation (WLK): Free Stock Analysis Report To read this article on Zacks.com click here. Some better-ranked stocks in the basic materials space are Kronos Worldwide Inc. KRO , Koppers Holding Inc. KOP and Huntsman Corporation HUN , all sporting a Zacks Rank #1 (Strong Buy). Kronos Worldwide has expected long-term earnings growth of 5%.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.850000381469727, 'high': 26.43000030517578, 'open': 25.850000381469727, 'close': 26.38999938964844, 'ema_50': 25.935214376850688, 'rsi_14': 56.666671653200524, 'target': 26.450000762939453, 'volume': 496600.0, 'ema_200': 21.53624742927657, 'adj_close': 23.232563018798828, 'rsi_lag_1': 55.80000144958548, 'rsi_lag_2': 62.138092106716435, 'rsi_lag_3': 67.24471473186489, 'rsi_lag_4': 44.51530233664803, 'rsi_lag_5': 42.30769425356902, 'macd_lag_1': -0.1557679924762283, 'macd_lag_2': -0.13750849979985347, 'macd_lag_3': -0.17634799279205993, 'macd_lag_4': -0.19179266560190555, 'macd_lag_5': -0.24027955483913033, 'macd_12_26_9': -0.11884012473640837, 'macds_12_26_9': -0.17046031422224295}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.450000762939453, '2018-01-04': 26.440000534057617, '2018-01-05': 26.96999931335449, '2018-01-08': 26.770000457763672, '2018-01-09': 26.709999084472656, '2018-01-10': 27.01000022888184, '2018-01-11': 27.82999992370605, '2018-01-12': 27.959999084472656, '2018-01-16': 26.93000030517578}, '1_month_later': {'2018-02-02': 25.270000457763672}, '3_months_later': {'2018-04-02': 21.75}, '6_months_later': {'2018-07-02': 21.770000457763672}, '12_months_later': {'2019-01-02': 11.970000267028809}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KRNT
{'date': '2018-01-02', 'ticker': 'KRNT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.049999237060547, 'high': 16.950000762939453, 'open': 16.450000762939453, 'close': 16.200000762939453, 'ema_50': 16.09695794722223, 'rsi_14': 56.716432356846305, 'target': 15.850000381469728, 'volume': 281200.0, 'ema_200': 16.487790932282007, 'adj_close': 16.200000762939453, 'rsi_lag_1': 52.85714246788772, 'rsi_lag_2': 52.11267227266403, 'rsi_lag_3': 53.62319161075458, 'rsi_lag_4': 45.58824354390102, 'rsi_lag_5': 46.26865501684161, 'macd_lag_1': 0.044251658741497835, 'macd_lag_2': 0.04392491658680342, 'macd_lag_3': 0.0428689669044644, 'macd_lag_4': 0.015443097064022027, 'macd_lag_5': 0.010758464102007537, 'macd_12_26_9': 0.04799205618033042, 'macds_12_26_9': 0.028431006315565117}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.850000381469728, '2018-01-04': 15.699999809265137, '2018-01-05': 15.550000190734863, '2018-01-08': 15.199999809265137, '2018-01-09': 15.149999618530272, '2018-01-10': 15.100000381469728, '2018-01-11': 15.074999809265137, '2018-01-12': 15.699999809265137, '2018-01-16': 15.850000381469728}, '1_month_later': {'2018-02-02': 13.800000190734863}, '3_months_later': {'2018-04-02': 12.949999809265137}, '6_months_later': {'2018-07-02': 17.799999237060547}, '12_months_later': {'2019-01-02': 18.61000061035156}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KRMD
{'date': '2018-01-02', 'ticker': 'KRMD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.0599999427795408, 'high': 1.2599999904632568, 'open': 1.2599999904632568, 'close': 1.0599999427795408, 'ema_50': 0.819265633477809, 'rsi_14': 62.57861299249973, 'target': 1.0959999561309814, 'volume': 68900.0, 'ema_200': 0.593214954565852, 'adj_close': 1.0599999427795408, 'rsi_lag_1': 89.69957465814943, 'rsi_lag_2': 80.4878084238347, 'rsi_lag_3': 88.13559150805345, 'rsi_lag_4': 86.40776642846023, 'rsi_lag_5': 73.75566513942096, 'macd_lag_1': 0.08801780006218685, 'macd_lag_2': 0.0694248821306177, 'macd_lag_3': 0.06912010592889273, 'macd_lag_4': 0.0656893556144802, 'macd_lag_5': 0.063409531673014, 'macd_12_26_9': 0.08642514943187307, 'macds_12_26_9': 0.07365655941574707}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.0959999561309814, '2018-01-04': 1.0599999427795408, '2018-01-05': 1.0099999904632568, '2018-01-08': 0.9700000286102296, '2018-01-09': 0.9900000095367432, '2018-01-10': 1.0099999904632568, '2018-01-11': 0.9950000047683716, '2018-01-12': 1.0, '2018-01-16': 1.100000023841858}, '1_month_later': {'2018-02-02': 1.0099999904632568}, '3_months_later': {'2018-04-02': 1.399999976158142}, '6_months_later': {'2018-07-02': 1.2100000381469729}, '12_months_later': {'2019-01-02': 1.5099999904632568}}
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.
KREF
{'date': '2018-01-02', 'ticker': 'KREF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.82999992370605, 'high': 20.07999992370605, 'open': 20.07999992370605, 'close': 19.950000762939453, 'ema_50': 20.622516489595245, 'rsi_14': 18.71652572323805, 'target': 19.71999931335449, 'volume': 44300.0, 'ema_200': 21.086238497324906, 'adj_close': 16.348125457763672, 'rsi_lag_1': 24.742261959772563, 'rsi_lag_2': 28.977281963528313, 'rsi_lag_3': 39.568307810527415, 'rsi_lag_4': 37.85715064223061, 'rsi_lag_5': 36.11112950759952, 'macd_lag_1': -0.07392168643635344, 'macd_lag_2': -0.026106173104967212, 'macd_lag_3': 0.013921810555050484, 'macd_lag_4': 0.02306413526380169, 'macd_lag_5': 0.03643380378503025, 'macd_12_26_9': -0.11532785300835968, 'macds_12_26_9': -0.009562603740401129}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.71999931335449, '2018-01-04': 19.81999969482422, '2018-01-05': 19.82999992370605, '2018-01-08': 19.8799991607666, '2018-01-09': 19.68000030517578, '2018-01-10': 19.790000915527344, '2018-01-11': 19.90999984741211, '2018-01-12': 19.799999237060547, '2018-01-16': 19.700000762939453}, '1_month_later': {'2018-02-02': 19.200000762939453}, '3_months_later': {'2018-04-02': 19.84000015258789}, '6_months_later': {'2018-07-02': 19.96999931335449}, '12_months_later': {'2019-01-02': 19.190000534057617}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KRE
{'date': '2018-01-02', 'ticker': 'KRE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 58.61000061035156, 'high': 59.4000015258789, 'open': 59.2599983215332, 'close': 59.0, 'ema_50': 57.90522248870729, 'rsi_14': 51.30058058384728, 'target': 59.11000061035156, 'volume': 5995800.0, 'ema_200': 55.01506623229532, 'adj_close': 55.4616584777832, 'rsi_lag_1': 46.96130820971565, 'rsi_lag_2': 51.35135444744707, 'rsi_lag_3': 52.07102561772999, 'rsi_lag_4': 51.5373569557925, 'rsi_lag_5': 47.31184284264735, 'macd_lag_1': 0.5083864451991715, 'macd_lag_2': 0.5903406478765305, 'macd_lag_3': 0.6252660968268344, 'macd_lag_4': 0.6933306773698433, 'macd_lag_5': 0.7426300673470436, 'macd_12_26_9': 0.4503496680126702, 'macds_12_26_9': 0.6069865281748851}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 59.11000061035156, '2018-01-04': 59.43000030517578, '2018-01-05': 59.81999969482422, '2018-01-08': 59.709999084472656, '2018-01-09': 60.52000045776367, '2018-01-10': 61.2599983215332, '2018-01-11': 62.22000122070313, '2018-01-12': 62.61000061035156, '2018-01-16': 62.0099983215332}, '1_month_later': {'2018-02-02': 62.63999938964844}, '3_months_later': {'2018-04-02': 59.209999084472656}, '6_months_later': {'2018-07-02': 61.52000045776367}, '12_months_later': {'2019-01-02': 47.56999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KRC
{'date': '2018-01-02', 'ticker': 'KRC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 74.0, 'high': 74.9800033569336, 'open': 74.83999633789062, 'close': 74.2699966430664, 'ema_50': 73.88615570487646, 'rsi_14': 42.87548528380533, 'target': 74.22000122070312, 'volume': 562100.0, 'ema_200': 72.48121387882858, 'adj_close': 74.2699966430664, 'rsi_lag_1': 45.877694382049825, 'rsi_lag_2': 44.850932120073075, 'rsi_lag_3': 51.55666275220711, 'rsi_lag_4': 49.37023883648886, 'rsi_lag_5': 39.75000381469727, 'macd_lag_1': 0.024871588199502526, 'macd_lag_2': 0.005620439921926845, 'macd_lag_3': 0.011512987718674594, 'macd_lag_4': 0.0005392560127290835, 'macd_lag_5': 0.00892506447398489, 'macd_12_26_9': 0.009357179951024364, 'macds_12_26_9': 0.11755080296122891}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 74.22000122070312, '2018-01-04': 72.13999938964844, '2018-01-05': 72.16999816894531, '2018-01-08': 72.83000183105469, '2018-01-09': 72.12000274658203, '2018-01-10': 71.33000183105469, '2018-01-11': 71.80000305175781, '2018-01-12': 71.55000305175781, '2018-01-16': 71.62000274658203}, '1_month_later': {'2018-02-02': 68.9000015258789}, '3_months_later': {'2018-04-02': 69.30000305175781}, '6_months_later': {'2018-07-02': 74.94999694824219}, '12_months_later': {'2019-01-02': 61.43999862670898}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
KRA
{'date': '2018-01-02', 'ticker': 'KRA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 48.380001068115234, 'high': 51.470001220703125, 'open': 48.380001068115234, 'close': 50.7400016784668, 'ema_50': 46.62477297282471, 'rsi_14': 64.7547845410665, 'target': 50.209999084472656, 'volume': 740300.0, 'ema_200': 39.14391538748671, 'adj_close': 50.7400016784668, 'rsi_lag_1': 58.754857893285724, 'rsi_lag_2': 64.187045839203, 'rsi_lag_3': 67.2815613445957, 'rsi_lag_4': 64.47242135832053, 'rsi_lag_5': 65.279095559106, 'macd_lag_1': 0.5460795981267168, 'macd_lag_2': 0.6187282383019976, 'macd_lag_3': 0.6026724774080847, 'macd_lag_4': 0.5754497531680371, 'macd_lag_5': 0.5598244353369495, 'macd_12_26_9': 0.6879525434996339, 'macds_12_26_9': 0.5467275302723081}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, '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': 50.79999923706055, '2018-01-05': 52.720001220703125, '2018-01-08': 51.77999877929688, '2018-01-09': 52.79999923706055, '2018-01-10': 52.79999923706055, '2018-01-11': 52.7400016784668, '2018-01-12': 51.59000015258789, '2018-01-16': 50.31999969482422}, '1_month_later': {'2018-02-02': 48.060001373291016}, '3_months_later': {'2018-04-02': 45.970001220703125}, '6_months_later': {'2018-07-02': 45.41999816894531}, '12_months_later': {'2019-01-02': 22.89999961853028}}
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.
KRP
{'date': '2018-01-02', 'ticker': 'KRP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.1299991607666, 'high': 16.434999465942383, 'open': 16.1299991607666, 'close': 16.389999389648438, 'ema_50': 16.486788225922552, 'rsi_14': 36.388126720021056, 'target': 16.309999465942383, 'volume': 3600.0, 'ema_200': 17.215026809562925, 'adj_close': 13.24221134185791, 'rsi_lag_1': 44.0758257423523, 'rsi_lag_2': 44.08906750871435, 'rsi_lag_3': 47.01834511208958, 'rsi_lag_4': 44.439638972123255, 'rsi_lag_5': 46.0570662130052, 'macd_lag_1': -0.16158442583790134, 'macd_lag_2': -0.17376477552221203, 'macd_lag_3': -0.16132929783895378, 'macd_lag_4': -0.14820132976446843, 'macd_lag_5': -0.13539884372427835, 'macd_12_26_9': -0.13903195638863153, 'macds_12_26_9': -0.1356966771778154}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.309999465942383, '2018-01-04': 16.299999237060547, '2018-01-05': 16.260000228881836, '2018-01-08': 16.450000762939453, '2018-01-09': 16.329999923706055, '2018-01-10': 16.114999771118164, '2018-01-11': 16.450000762939453, '2018-01-12': 16.399999618530273, '2018-01-16': 16.75}, '1_month_later': {'2018-02-02': 19.708999633789062}, '3_months_later': {'2018-04-02': 18.89999961853028}, '6_months_later': {'2018-07-02': 21.989999771118164}, '12_months_later': {'2019-01-02': 14.0}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LEAD
{'date': '2018-01-02', 'ticker': 'LEAD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.88999938964844, 'high': 32.0, 'open': 31.88999938964844, 'close': 31.96500015258789, 'ema_50': 31.12817553655227, 'rsi_14': 60.239270671423114, 'target': 32.323001861572266, 'volume': 7200.0, 'ema_200': 29.254854215591195, 'adj_close': 30.93361854553223, 'rsi_lag_1': 57.133176029117884, 'rsi_lag_2': 67.4112245102558, 'rsi_lag_3': 68.22541131333115, 'rsi_lag_4': 65.23987111218275, 'rsi_lag_5': 64.77778787603346, 'macd_lag_1': 0.32454718896689627, 'macd_lag_2': 0.35188577047818015, 'macd_lag_3': 0.3679161196622438, 'macd_lag_4': 0.38567253940299295, 'macd_lag_5': 0.4087334855589084, 'macd_12_26_9': 0.30062606144178616, 'macds_12_26_9': 0.3611175268313132}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.323001861572266, '2018-01-04': 32.448001861572266, '2018-01-05': 32.67699813842773, '2018-01-08': 32.86999893188477, '2018-01-09': 32.939998626708984, '2018-01-10': 32.790000915527344, '2018-01-11': 33.014999389648445, '2018-01-12': 33.2760009765625, '2018-01-16': 33.165000915527344}, '1_month_later': {'2018-02-02': 32.93099975585937}, '3_months_later': {'2018-04-02': 31.13999938964844}, '6_months_later': {'2018-07-02': 32.36999893188477}, '12_months_later': {'2019-01-02': 29.40999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LEAF
{'date': '2018-01-02', 'ticker': 'LEAF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.449999809265137, 'high': 9.880000114440918, 'open': 9.850000381469728, 'close': 9.550000190734863, 'ema_50': 8.30484476544242, 'rsi_14': 71.21212865585969, 'target': 9.350000381469728, 'volume': 57500.0, 'ema_200': 7.5754560858722515, 'adj_close': 9.550000190734863, 'rsi_lag_1': 78.33332114749865, 'rsi_lag_2': 83.9285793353095, 'rsi_lag_3': 85.00000397364362, 'rsi_lag_4': 83.3333362767733, 'rsi_lag_5': 72.222237920566, 'macd_lag_1': 0.5574719042541574, 'macd_lag_2': 0.5423591394885534, 'macd_lag_3': 0.49481718184133605, 'macd_lag_4': 0.4422118006056621, 'macd_lag_5': 0.3991815072399607, 'macd_12_26_9': 0.5350392510212583, 'macds_12_26_9': 0.4547829075380013}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.350000381469728, '2018-01-04': 9.199999809265137, '2018-01-05': 9.100000381469728, '2018-01-08': 9.149999618530272, '2018-01-09': 9.300000190734863, '2018-01-10': 9.300000190734863, '2018-01-11': 9.25, '2018-01-12': 9.350000381469728, '2018-01-16': 8.850000381469727}, '1_month_later': {'2018-02-02': 9.050000190734863}, '3_months_later': {'2018-04-02': 6.900000095367432}, '6_months_later': {'2018-07-02': 10.899999618530272}, '12_months_later': {'2019-01-02': 7.050000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LOAN
{'date': '2018-01-02', 'ticker': 'LOAN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.900000095367432, 'high': 6.0, 'open': 5.949999809265137, 'close': 5.949999809265137, 'ema_50': 5.892830280485661, 'rsi_14': 68.29260066477948, 'target': 5.849999904632568, 'volume': 6300.0, 'ema_200': 5.8138429438911405, 'adj_close': 4.998555660247803, 'rsi_lag_1': 68.29260066477948, 'rsi_lag_2': 60.86954268257919, 'rsi_lag_3': 57.14287104480807, 'rsi_lag_4': 55.31912087421538, 'rsi_lag_5': 50.0, 'macd_lag_1': 0.011745760187007015, 'macd_lag_2': 0.009020605079824051, 'macd_lag_3': 0.005411107396405157, 'macd_lag_4': -0.0023291980257749145, 'macd_lag_5': -0.009120196340131947, 'macd_12_26_9': 0.01374699840275273, 'macds_12_26_9': -0.0011167691702638496}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.849999904632568, '2018-01-04': 5.789999961853027, '2018-01-05': 5.789999961853027, '2018-01-08': 5.71999979019165, '2018-01-09': 5.769999980926514, '2018-01-10': 5.75, '2018-01-11': 5.880000114440918, '2018-01-12': 5.849999904632568, '2018-01-16': 5.900000095367432}, '1_month_later': {'2018-02-02': 5.900000095367432}, '3_months_later': {'2018-04-02': 7.0}, '6_months_later': {'2018-07-02': 7.900000095367432}, '12_months_later': {'2019-01-02': 5.71999979019165}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LNTH
{'date': '2018-01-02', 'ticker': 'LNTH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.14999961853028, 'high': 21.299999237060547, 'open': 20.600000381469727, 'close': 21.0, 'ema_50': 20.58024304912147, 'rsi_14': 53.33333898473669, 'target': 20.89999961853028, 'volume': 257700.0, 'ema_200': 17.295580511232927, 'adj_close': 21.0, 'rsi_lag_1': 46.923080760345236, 'rsi_lag_2': 54.166664017573034, 'rsi_lag_3': 62.49998166012556, 'rsi_lag_4': 58.51063872959392, 'rsi_lag_5': 47.727266816075435, 'macd_lag_1': -0.05146080653824825, 'macd_lag_2': -0.015526704929971658, 'macd_lag_3': -0.04070849210204486, 'macd_lag_4': -0.17407566784381956, 'macd_lag_5': -0.2450415153254326, 'macd_12_26_9': -0.03515327399815149, 'macds_12_26_9': -0.08766791912807378}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 20.89999961853028, '2018-01-04': 20.575000762939453, '2018-01-05': 21.700000762939453, '2018-01-08': 20.850000381469727, '2018-01-09': 22.5, '2018-01-10': 23.549999237060547, '2018-01-11': 23.64999961853028, '2018-01-12': 23.475000381469727, '2018-01-16': 22.14999961853028}, '1_month_later': {'2018-02-02': 21.89999961853028}, '3_months_later': {'2018-04-02': 15.899999618530272}, '6_months_later': {'2018-07-02': 14.850000381469728}, '12_months_later': {'2019-01-02': 15.470000267028809}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LNN
{'date': '2018-01-02', 'ticker': 'LNN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 88.0999984741211, 'high': 89.73999786376953, 'open': 89.62999725341797, 'close': 89.30999755859375, 'ema_50': 90.23469757992233, 'rsi_14': 43.68824671333075, 'target': 88.58000183105469, 'volume': 82700.0, 'ema_200': 87.65978713813321, 'adj_close': 86.62030792236328, 'rsi_lag_1': 39.61826553733395, 'rsi_lag_2': 38.2895400101839, 'rsi_lag_3': 31.920038743104172, 'rsi_lag_4': 26.26012010480801, 'rsi_lag_5': 28.189718614497963, 'macd_lag_1': -1.0439240388359394, 'macd_lag_2': -1.0662204963412165, 'macd_lag_3': -1.1015703464454845, 'macd_lag_4': -0.9697938545592422, 'macd_lag_5': -0.6805844149356801, 'macd_12_26_9': -0.926011676844098, 'macds_12_26_9': -0.765877334269364}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 88.58000183105469, '2018-01-04': 88.97000122070312, '2018-01-05': 88.91000366210938, '2018-01-08': 89.83000183105469, '2018-01-09': 89.55000305175781, '2018-01-10': 89.16999816894531, '2018-01-11': 92.12999725341795, '2018-01-12': 94.9499969482422, '2018-01-16': 92.41000366210938}, '1_month_later': {'2018-02-02': 87.80000305175781}, '3_months_later': {'2018-04-02': 84.80999755859375}, '6_months_later': {'2018-07-02': 97.9800033569336}, '12_months_later': {'2019-01-02': 96.23999786376952}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LNGR
{'date': '2018-01-02', 'ticker': 'LNGR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.280000686645508, 'high': 19.613000869750977, 'open': 19.32999992370605, 'close': 19.61000061035156, 'ema_50': 19.482719735447567, 'rsi_14': 51.29536751080903, 'target': 19.900999069213867, 'volume': 3000.0, 'ema_200': 18.578373516130117, 'adj_close': 19.20911979675293, 'rsi_lag_1': 42.876552795031046, 'rsi_lag_2': 49.12388670686508, 'rsi_lag_3': 61.42946625942069, 'rsi_lag_4': 52.56081969675299, 'rsi_lag_5': 50.12836035409585, 'macd_lag_1': -0.0075403834731773145, 'macd_lag_2': -0.002975846424838835, 'macd_lag_3': 0.0039116528419178564, 'macd_lag_4': -0.009346977195679784, 'macd_lag_5': -0.008213793820459614, 'macd_12_26_9': 0.0017328631739381706, 'macds_12_26_9': 0.0007169826222566879}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.900999069213867, '2018-01-04': 19.780000686645508, '2018-01-05': 19.948999404907227, '2018-01-08': 19.88999938964844, '2018-01-09': 20.14999961853028, '2018-01-10': 20.01000022888184, '2018-01-11': 20.073999404907227, '2018-01-12': 20.229999542236328, '2018-01-16': 20.299999237060547}, '1_month_later': {'2018-02-02': 20.350000381469727}, '3_months_later': {'2018-04-02': 19.312000274658203}, '6_months_later': {'2018-07-02': 20.729999542236328}, '12_months_later': {'2019-01-02': 18.77499961853028}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LNG
{'date': '2018-01-02', 'ticker': 'LNG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/why-its-time-to-take-notice-of-the-turnaround-at-kinder-morgan-inc-2018-01-02', 'news_author': None, 'news_article': "InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nIt's no secret that the last few years haven't been so kind to shareholders of Kinder Morgan Inc (NYSE: KMI ). Since its conversion from an MLP to a straight c-corp, Kinder Morgan stock has been on a straight shot down. Much of that comes from the firm's painful dividend cut back in 2015. And since that time, KMI hasn't exactly regained investors' trust.\nAfter all, fool me once, shame on you. Fool me twice, shame on me.\nBut this time, investors may want to trust KMI. Kinder Morgan has made some good progress on its turnaround, and the firm is finally starting to add to organic and new projects to fuel distribution and cash flow growth. For investors, the time could be right to finally place a bet with the pipeline and midstream giant once again.\nKMI Taps an Opportunity\nWhen your stock is a dividend stock held primarily by retirees and other income seekers, the worst thing you can do is cut your dividend. So when Kinder Morgan cut its historically steady payout by 75% back in 2015, it was pretty much game over for Kinder Morgan stock. KMI stock has pretty much floundered since then.\nBut that cut was necessary. KMI's cost of capital for new expansion efforts was getting very expensive. That was one of the prime reasons for making the switch from a master limited partnership (MLP) in the first place.\n7 Dividend Stocks That Make the Grade\nWith oil prices in the basement, it became harder for Kinder Morgan to keep raising enough money cheaply to finance its expansion projects. Remember, when you're one of the biggest midstream firms on the planet, it takes some big projects to really move the needle.\nSo, the dividend cut at KMI was a necessary evil. And that cut seems to be working. Kinder has continued to see decent cash flow generation from its vast array of pipelines, storage and other energy logistics assets. Net debt has dropped, while the firm has expanded the amount of cash on its balance sheet.\nAgain, the money for the dividend was there, and the cut wasn't because the underlying businesses were too stressed or performing badly. This was mostly a case of reducing its costs and realigning itself in a positive manner.\nThe biggest beneficiary in all of this has been Kinder Morgan's CAPEX spending for new projects. The firm has been able to fund expansion efforts without tapping the debt or equity markets. The latest example of this has been KMI's new 500-mile pipeline in the Permian Basin.\nThe Permian Basin has been a low-cost hotbed of E&P action, and much of that drilling has focused on shale oil. But at the same time, drillers have been producing a ton of natural gas, much of which has been flared or discharged off.\nSensing a major opportunity, KMI recently announced a new $1.7-billion pipeline to bring natural gas from the Permian down to the Gulf Coast. This brings the gas right where firms like Phillips 66 (NYSE: PSX ) and Cheniere Energy, Inc. (NYSE: LNG ) have chemical-refining facilities and LNG export capabilities.\nThat new project joins the other $10.2 billion in projects on KMI's backlog list that should help supply it with an extra $1.5 billion in incremental earnings as they join the firm's system.\nA Big Bump to Dividends at KMI\nWhat does the new gas pipeline as well as the ability for KMI to finally add more assets to its system using its cash flows mean? Bigger dividends of course.\nWith the cash flows from the new pipelines and projects, as well as Kinder Morgan's better balance sheet, the midstream giant should be able to significantly boost its dividend.\nInternally, KMI estimates that it will produce around $4.57 billion in distributable cash flow (DCF) for all of 2018. That will allow it to raise its dividend by 60% next year. Moreover, with the extra projects coming online, Kinder Morgan estimates it will be able to raise its payout by 25% in 2019 and 2020 as well.\nBut here is the real kicker. KMI is now throwing off so much cash, and turnaround plans have worked so well, that it even has enough money to buy back shares. Kinder Morgan will begin a $2-billion buyback program and seek to reduce its share count by over 5%.\nTime to Bet on Kinder Morgan Stock\nFor long-suffering shareholders of Kinder Morgan stock, KMI's improving cash flows, dividend growth and expanding asset portfolio is exactly what they should want to see. Yes, the dividend cut was painful, as was the decision to eat its own MLP. But this clearly was the right choice. Today's Kinder Morgan is much better than yesterday's.\nAnd that could mean that it's time to double down and add to your positions.\nFor newer investors, KMI is quickly emerging as one of the best dividend growth stories in the energy sector. The firm's improved balance sheet and cash flows make it a top choice for adding rising income to your portfolio.\nThere's Still More to Gain With Kinder Morgan Inc Stock\nIn the end, KMI is once again regaining investors' trust, and that makes Kinder Morgan stock a great buy for everyone.\nDisclosure: None\nMore From InvestorPlace\n10 Top S&P 500 Stocks in 2017\nWhy Kinder Morgan Inc (KMI) Stock Is Flying Today\n7 Best Fidelity Funds for 2018\nCompare Brokers\nThe post Why It's Time to Take Notice of the Turnaround at Kinder Morgan Inc 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': 'This brings the gas right where firms like Phillips 66 (NYSE: PSX ) and Cheniere Energy, Inc. (NYSE: LNG ) have chemical-refining facilities and LNG export capabilities. Kinder Morgan has made some good progress on its turnaround, and the firm is finally starting to add to organic and new projects to fuel distribution and cash flow growth. 7 Dividend Stocks That Make the Grade With oil prices in the basement, it became harder for Kinder Morgan to keep raising enough money cheaply to finance its expansion projects.', 'news_luhn_summary': "This brings the gas right where firms like Phillips 66 (NYSE: PSX ) and Cheniere Energy, Inc. (NYSE: LNG ) have chemical-refining facilities and LNG export capabilities. Time to Bet on Kinder Morgan Stock For long-suffering shareholders of Kinder Morgan stock, KMI's improving cash flows, dividend growth and expanding asset portfolio is exactly what they should want to see. The firm's improved balance sheet and cash flows make it a top choice for adding rising income to your portfolio.", 'news_article_title': 'Why It’s Time to Take Notice of the Turnaround at Kinder Morgan Inc', 'news_lexrank_summary': "This brings the gas right where firms like Phillips 66 (NYSE: PSX ) and Cheniere Energy, Inc. (NYSE: LNG ) have chemical-refining facilities and LNG export capabilities. A Big Bump to Dividends at KMI What does the new gas pipeline as well as the ability for KMI to finally add more assets to its system using its cash flows mean? With the cash flows from the new pipelines and projects, as well as Kinder Morgan's better balance sheet, the midstream giant should be able to significantly boost its dividend.", 'news_textrank_summary': "This brings the gas right where firms like Phillips 66 (NYSE: PSX ) and Cheniere Energy, Inc. (NYSE: LNG ) have chemical-refining facilities and LNG export capabilities. Time to Bet on Kinder Morgan Stock For long-suffering shareholders of Kinder Morgan stock, KMI's improving cash flows, dividend growth and expanding asset portfolio is exactly what they should want to see. There's Still More to Gain With Kinder Morgan Inc Stock In the end, KMI is once again regaining investors' trust, and that makes Kinder Morgan stock a great buy for everyone."}, {'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': "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. Investors are starting to believe in the turnaround too, with LNG stock racing higher by 28% just since August's low. 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.", 'news_luhn_summary': "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. Investors are starting to believe in the turnaround too, with LNG stock racing higher by 28% just since August's low. 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': "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. Investors are starting to believe in the turnaround too, with LNG stock racing higher by 28% just since August's low. Stocks Growing Faster Than Amazon: Wix.Com (WIX) Source: Via Wix The internet is anything but new.", 'news_textrank_summary': "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. Investors are starting to believe in the turnaround too, with LNG stock racing higher by 28% just since August's low. 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."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 53.880001068115234, 'high': 54.77000045776367, 'open': 53.959999084472656, 'close': 54.70000076293945, 'ema_50': 49.174969356828505, 'rsi_14': 87.47321748747966, 'target': 55.27000045776367, 'volume': 3022100.0, 'ema_200': 46.59826373817216, 'adj_close': 54.70000076293945, 'rsi_lag_1': 86.67424102536246, 'rsi_lag_2': 91.60130494197428, 'rsi_lag_3': 91.63875815300706, 'rsi_lag_4': 83.79204964316443, 'rsi_lag_5': 74.4747879377034, 'macd_lag_1': 1.5871195428549711, 'macd_lag_2': 1.5124996149395926, 'macd_lag_3': 1.3524940080722274, 'macd_lag_4': 1.1591414065993604, 'macd_lag_5': 0.8781836455616769, 'macd_12_26_9': 1.6960996542371731, 'macds_12_26_9': 1.164728795569999}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 55.27000045776367, '2018-01-04': 55.0099983215332, '2018-01-05': 55.20000076293945, '2018-01-08': 54.540000915527344, '2018-01-09': 53.93999862670898, '2018-01-10': 53.880001068115234, '2018-01-11': 54.43999862670898, '2018-01-12': 54.72999954223633, '2018-01-16': 55.810001373291016}, '1_month_later': {'2018-02-02': 56.0099983215332}, '3_months_later': {'2018-04-02': 52.9900016784668}, '6_months_later': {'2018-07-02': 64.20999908447266}, '12_months_later': {'2019-01-02': 60.20000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LNDC
{'date': '2018-01-02', 'ticker': 'LNDC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/3320669-notable-earnings-wednesday-s-close?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Notable earnings after Wednesday's close", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.399999618530272, 'high': 13.020000457763672, 'open': 12.600000381469728, 'close': 12.5, 'ema_50': 12.494896291580515, 'rsi_14': 58.66666158040362, 'target': 12.649999618530272, 'volume': 85300.0, 'ema_200': 12.91190964300267, 'adj_close': 12.5, 'rsi_lag_1': 60.81081394560604, 'rsi_lag_2': 54.68750325962923, 'rsi_lag_3': 55.38462125338042, 'rsi_lag_4': 52.17392145648469, 'rsi_lag_5': 52.173907034189604, 'macd_lag_1': -0.05613468806932076, 'macd_lag_2': -0.09066706761072219, 'macd_lag_3': -0.08251505651468172, 'macd_lag_4': -0.06072804996224157, 'macd_lag_5': -0.0422184469855047, 'macd_12_26_9': -0.03641693181572947, 'macds_12_26_9': -0.06964841932207498}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.649999618530272, '2018-01-04': 12.899999618530272, '2018-01-05': 13.0, '2018-01-08': 12.899999618530272, '2018-01-09': 12.350000381469728, '2018-01-10': 12.0, '2018-01-11': 12.699999809265137, '2018-01-12': 12.800000190734863, '2018-01-16': 12.600000381469728}, '1_month_later': {'2018-02-02': 13.100000381469728}, '3_months_later': {'2018-04-02': 13.050000190734863}, '6_months_later': {'2018-07-02': 15.100000381469728}, '12_months_later': {'2019-01-02': 11.8100004196167}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LND
{'date': '2018-01-02', 'ticker': 'LND', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.4600000381469727, 'high': 3.5799999237060547, 'open': 3.5799999237060547, 'close': 3.4600000381469727, 'ema_50': 3.6958895651564636, 'rsi_14': 38.666668785941596, 'target': 3.559999942779541, 'volume': 2100.0, 'ema_200': 3.7651108090332435, 'adj_close': 3.105647563934326, 'rsi_lag_1': 46.15385320764406, 'rsi_lag_2': 45.00000894068926, 'rsi_lag_3': 43.373505396729655, 'rsi_lag_4': 38.88889624748039, 'rsi_lag_5': 42.22222339959689, 'macd_lag_1': -0.06567260048996193, 'macd_lag_2': -0.06604905438453379, 'macd_lag_3': -0.06556883292801086, 'macd_lag_4': -0.06502034809171864, 'macd_lag_5': -0.0623563506267133, 'macd_12_26_9': -0.06782013242420115, 'macds_12_26_9': -0.06606939234670069}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.559999942779541, '2018-01-04': 3.690000057220459, '2018-01-05': 4.050000190734863, '2018-01-08': 4.300000190734863, '2018-01-09': 4.320000171661377, '2018-01-10': 4.320000171661377, '2018-01-11': 4.320000171661377, '2018-01-12': 4.21999979019165, '2018-01-16': 4.070000171661377}, '1_month_later': {'2018-02-02': 4.039999961853027}, '3_months_later': {'2018-04-02': 3.859999895095825}, '6_months_later': {'2018-07-02': 3.470000028610229}, '12_months_later': {'2019-01-02': 4.039999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LOCO
{'date': '2018-01-02', 'ticker': 'LOCO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.gurufocus.com/news/617191/el-pollo-loco-to-participate-in-the-20th-annual-icr-conference', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'El Pollo Loco to Participate in the —…th Annual ICR Conference', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.gurufocus.com/news/617085/celebrate-the-new-year-with-el-pollo-locos-new-under-500-calories-menu-items-', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Celebrate the New Year With El Pollo Loco's New 'Under 5…… Calories' Menu Items", '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': 9.899999618530272, 'high': 10.199999809265137, 'open': 10.0, 'close': 10.199999809265137, 'ema_50': 10.527853375488764, 'rsi_14': 44.73684870965398, 'target': 10.800000190734863, 'volume': 264100.0, 'ema_200': 11.700460341497681, 'adj_close': 10.199999809265137, 'rsi_lag_1': 30.555546725243317, 'rsi_lag_2': 41.17647388814305, 'rsi_lag_3': 35.48389676950957, 'rsi_lag_4': 28.571451926692546, 'rsi_lag_5': 29.850765813750783, 'macd_lag_1': -0.14052212802541142, 'macd_lag_2': -0.13019643772731726, 'macd_lag_3': -0.14057788119808556, 'macd_lag_4': -0.1365109205238948, 'macd_lag_5': -0.12424345790821256, 'macd_12_26_9': -0.12307902540232973, 'macds_12_26_9': -0.12792006128286373}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.800000190734863, '2018-01-04': 10.800000190734863, '2018-01-05': 10.850000381469728, '2018-01-08': 10.649999618530272, '2018-01-09': 10.149999618530272, '2018-01-10': 10.5, '2018-01-11': 10.399999618530272, '2018-01-12': 10.300000190734863, '2018-01-16': 10.100000381469728}, '1_month_later': {'2018-02-02': 9.899999618530272}, '3_months_later': {'2018-04-02': 9.350000381469728}, '6_months_later': {'2018-07-02': 11.5}, '12_months_later': {'2019-01-02': 14.960000038146973}}
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.
LNC
{'date': '2018-01-02', 'ticker': 'LNC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/18/01/10972365/jp-morgan-upgrades-lincoln-national-to-overweight', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'JP Morgan Upgrades Lincoln National to Overweight', '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': 77.33000183105469, 'high': 78.47000122070312, 'open': 77.98999786376953, 'close': 77.91000366210938, 'ema_50': 75.79877711065345, 'rsi_14': 55.3468501245838, 'target': 77.55000305175781, 'volume': 1294600.0, 'ema_200': 70.80517390911038, 'adj_close': 73.12799072265625, 'rsi_lag_1': 38.48279548845911, 'rsi_lag_2': 48.445614544822064, 'rsi_lag_3': 54.04154398873741, 'rsi_lag_4': 58.816917814692864, 'rsi_lag_5': 51.21477061417688, 'macd_lag_1': 0.5035095830089773, 'macd_lag_2': 0.5636341110203489, 'macd_lag_3': 0.5833042656269498, 'macd_lag_4': 0.6151989926415524, 'macd_lag_5': 0.6174325474662368, 'macd_12_26_9': 0.5336285063696806, 'macds_12_26_9': 0.5497114985849612}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 77.55000305175781, '2018-01-04': 78.93000030517578, '2018-01-05': 79.08999633789062, '2018-01-08': 78.94000244140625, '2018-01-09': 81.68000030517578, '2018-01-10': 82.79000091552734, '2018-01-11': 83.9000015258789, '2018-01-12': 84.37000274658203, '2018-01-16': 82.51000213623047}, '1_month_later': {'2018-02-02': 83.04000091552734}, '3_months_later': {'2018-04-02': 70.97000122070312}, '6_months_later': {'2018-07-02': 63.0099983215332}, '12_months_later': {'2019-01-02': 51.52999877929688}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LMT
{'date': '2018-01-02', 'ticker': 'LMT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 317.5, 'high': 322.6199951171875, 'open': 322.0, 'close': 318.5400085449219, 'ema_50': 315.3355347323453, 'rsi_14': 55.18145085961644, 'target': 321.2099914550781, 'volume': 1189600.0, 'ema_200': 296.90880866000157, 'adj_close': 299.0423278808594, 'rsi_lag_1': 62.57247547750069, 'rsi_lag_2': 68.23360295843754, 'rsi_lag_3': 67.91366674814444, 'rsi_lag_4': 69.2413680854885, 'rsi_lag_5': 63.640347722301705, 'macd_lag_1': 1.6299961280693083, 'macd_lag_2': 1.565386127897682, 'macd_lag_3': 1.3532400651080252, 'macd_lag_4': 1.3336177896151185, 'macd_lag_5': 1.3838647171257321, 'macd_12_26_9': 1.4618147793217418, 'macds_12_26_9': 1.436606629817526}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 321.2099914550781, '2018-01-04': 326.7200012207031, '2018-01-05': 329.67999267578125, '2018-01-08': 328.1600036621094, '2018-01-09': 330.510009765625, '2018-01-10': 331.04998779296875, '2018-01-11': 331.1300048828125, '2018-01-12': 336.25, '2018-01-16': 330.1099853515625}, '1_month_later': {'2018-02-02': 352.6600036621094}, '3_months_later': {'2018-04-02': 333.0}, '6_months_later': {'2018-07-02': 299.1199951171875}, '12_months_later': {'2019-01-02': 264.7300109863281}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.