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NXP
{'date': '2018-01-02', 'ticker': 'NXP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.529999732971191, 'high': 14.670000076293944, 'open': 14.550000190734863, 'close': 14.640000343322754, 'ema_50': 14.733078317605484, 'rsi_14': 28.767146552399765, 'target': 14.729999542236328, 'volume': 39300.0, 'ema_200': 14.635646665965094, 'adj_close': 13.354589462280272, 'rsi_lag_1': 35.80241244723855, 'rsi_lag_2': 35.365786997677404, 'rsi_lag_3': 38.372031129750766, 'rsi_lag_4': 43.01074166175294, 'rsi_lag_5': 51.041691501959015, 'macd_lag_1': -0.03390287278722326, 'macd_lag_2': -0.030928837924902197, 'macd_lag_3': -0.03381025562200257, 'macd_lag_4': -0.03699620685543614, 'macd_lag_5': -0.032379065734504664, 'macd_12_26_9': -0.03425112144422471, 'macds_12_26_9': -0.027041722609141276}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.729999542236328, '2018-01-04': 14.720000267028809, '2018-01-05': 14.739999771118164, '2018-01-08': 14.729999542236328, '2018-01-09': 14.630000114440918, '2018-01-10': 14.529999732971191, '2018-01-11': 14.649999618530272, '2018-01-12': 14.539999961853027, '2018-01-16': 14.600000381469728}, '1_month_later': {'2018-02-02': 14.0600004196167}, '3_months_later': {'2018-04-02': 14.100000381469728}, '6_months_later': {'2018-07-02': 14.300000190734863}, '12_months_later': {'2019-01-02': 14.369999885559082}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NYCB
{'date': '2018-01-02', 'ticker': 'NYCB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/4134769-imf-portfolio-solid-2017-poised-beat-s-and-p-year?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'My IMF Portfolio: Solid 2017 And Poised To Beat The S&P This Year', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.970000267028809, 'high': 13.260000228881836, 'open': 13.09000015258789, 'close': 13.06999969482422, 'ema_50': 12.993788303461562, 'rsi_14': 45.58823220044592, 'target': 13.15999984741211, 'volume': 4124300.0, 'ema_200': 13.198525840935973, 'adj_close': 8.93338680267334, 'rsi_lag_1': 38.77550755608836, 'rsi_lag_2': 41.60584957829463, 'rsi_lag_3': 41.60584957829463, 'rsi_lag_4': 39.86013659556788, 'rsi_lag_5': 38.25501895187977, 'macd_lag_1': 0.05107777989700857, 'macd_lag_2': 0.07011918800688122, 'macd_lag_3': 0.08220306839806213, 'macd_lag_4': 0.09948533118681091, 'macd_lag_5': 0.10991496368074571, 'macd_12_26_9': 0.03956575792519068, 'macds_12_26_9': 0.08237514467944969}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.15999984741211, '2018-01-04': 13.149999618530272, '2018-01-05': 13.06999969482422, '2018-01-08': 13.020000457763672, '2018-01-09': 13.130000114440918, '2018-01-10': 13.550000190734863, '2018-01-11': 13.779999732971191, '2018-01-12': 13.640000343322754, '2018-01-16': 13.5600004196167}, '1_month_later': {'2018-02-02': 13.920000076293944}, '3_months_later': {'2018-04-02': 12.779999732971191}, '6_months_later': {'2018-07-02': 11.029999732971191}, '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.
NXTG
{'date': '2018-01-02', 'ticker': 'NXTG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.20000076293945, 'high': 52.20000076293945, 'open': 52.20000076293945, 'close': 52.20000076293945, 'ema_50': 51.867119126669614, 'rsi_14': 60.47434882581326, 'target': 53.72999954223633, 'volume': 500.0, 'ema_200': 49.285614601117736, 'adj_close': 50.93745040893555, 'rsi_lag_1': 67.63754205117127, 'rsi_lag_2': 69.63187025357189, 'rsi_lag_3': 70.71005182563474, 'rsi_lag_4': 60.20672293094713, 'rsi_lag_5': 64.36464263057965, 'macd_lag_1': 0.07555412702745201, 'macd_lag_2': 0.08078640474673904, 'macd_lag_3': 0.085271607865117, 'macd_lag_4': 0.10502853796029399, 'macd_lag_5': 0.13482710801017106, 'macd_12_26_9': 0.07059374844936173, 'macds_12_26_9': 0.07284660309859575}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 53.72999954223633, '2018-01-04': 54.09000015258789, '2018-01-05': 54.25, '2018-01-08': 54.22999954223633, '2018-01-09': 54.459999084472656, '2018-01-10': 53.81999969482422, '2018-01-11': 53.880001068115234, '2018-01-12': 54.52000045776367, '2018-01-16': 54.470001220703125}, '1_month_later': {'2018-02-02': 53.310001373291016}, '3_months_later': {'2018-04-02': 51.540000915527344}, '6_months_later': {'2018-07-02': 47.93000030517578}, '12_months_later': {'2019-01-02': 42.810001373291016}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXTD
{'date': '2018-01-02', 'ticker': 'NXTD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.130000114440918, 'high': 3.650000095367432, 'open': 3.450000047683716, 'close': 3.650000095367432, 'ema_50': 2.1955104522855184, 'rsi_14': 70.42735165697655, 'target': 3.4800000190734863, 'volume': 4704800.0, 'ema_200': 2.137153237303893, 'adj_close': 3.650000095367432, 'rsi_lag_1': 69.86062772042256, 'rsi_lag_2': 69.00175264802256, 'rsi_lag_3': 74.19962298434152, 'rsi_lag_4': 89.18919100330677, 'rsi_lag_5': 95.19230650748902, 'macd_lag_1': 0.671359184986124, 'macd_lag_2': 0.6907479451736362, 'macd_lag_3': 0.7125750767224388, 'macd_lag_4': 0.6862879046251962, 'macd_lag_5': 0.5521353520362875, 'macd_12_26_9': 0.6604835635581403, 'macds_12_26_9': 0.5033750819395197}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.4800000190734863, '2018-01-04': 3.440000057220459, '2018-01-05': 3.289999961853028, '2018-01-08': 3.289999961853028, '2018-01-09': 2.940000057220459, '2018-01-10': 3.119999885559082, '2018-01-11': 3.0799999237060547, '2018-01-12': 2.8499999046325684, '2018-01-16': 2.490000009536743}, '1_month_later': {'2018-02-02': 2.039999961853028}, '3_months_later': {'2018-04-02': 1.919999957084656}, '6_months_later': {'2018-07-02': 1.7000000476837158}, '12_months_later': {'2019-01-02': 0.7200000286102295}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXST
{'date': '2018-01-02', 'ticker': 'NXST', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 76.45999908447266, 'high': 78.58000183105469, 'open': 78.19999694824219, 'close': 77.0, 'ema_50': 70.66956187709025, 'rsi_14': 70.19607233020719, 'target': 75.5999984741211, 'volume': 585200.0, 'ema_200': 64.66723273147002, 'adj_close': 73.099853515625, 'rsi_lag_1': 74.89535928984775, 'rsi_lag_2': 78.15122602352416, 'rsi_lag_3': 82.64459735443162, 'rsi_lag_4': 88.3999704590024, 'rsi_lag_5': 83.05783456454465, 'macd_lag_1': 3.2185343643316457, 'macd_lag_2': 3.3728570565774874, 'macd_lag_3': 3.480041762131563, 'macd_lag_4': 3.5153205424986567, 'macd_lag_5': 3.443035186186833, 'macd_12_26_9': 2.965221565540432, 'macds_12_26_9': 3.116391398578792}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 75.5999984741211, '2018-01-04': 74.19999694824219, '2018-01-05': 73.44999694824219, '2018-01-08': 75.19999694824219, '2018-01-09': 76.0, '2018-01-10': 78.4000015258789, '2018-01-11': 80.0, '2018-01-12': 79.44999694824219, '2018-01-16': 79.69999694824219}, '1_month_later': {'2018-02-02': 74.5999984741211}, '3_months_later': {'2018-04-02': 64.05000305175781}, '6_months_later': {'2018-07-02': 73.1500015258789}, '12_months_later': {'2019-01-02': 79.91000366210938}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXRT
{'date': '2018-01-02', 'ticker': 'NXRT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.450000762939453, 'high': 28.229999542236328, 'open': 28.040000915527344, 'close': 27.8700008392334, 'ema_50': 27.18843305810853, 'rsi_14': 52.5114157902392, 'target': 27.530000686645508, 'volume': 110100.0, 'ema_200': 24.933719340254342, 'adj_close': 25.70187759399414, 'rsi_lag_1': 51.11110859937558, 'rsi_lag_2': 55.3772097162764, 'rsi_lag_3': 54.64743545657313, 'rsi_lag_4': 55.71204704196767, 'rsi_lag_5': 51.651660853930885, 'macd_lag_1': 0.24304651872365923, 'macd_lag_2': 0.2751363692086315, 'macd_lag_3': 0.2581291918380195, 'macd_lag_4': 0.23673986894553423, 'macd_lag_5': 0.2100686464863344, 'macd_12_26_9': 0.20955111583664277, 'macds_12_26_9': 0.24530154502858528}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.530000686645508, '2018-01-04': 27.030000686645508, '2018-01-05': 27.540000915527344, '2018-01-08': 27.71999931335449, '2018-01-09': 27.729999542236328, '2018-01-10': 27.38999938964844, '2018-01-11': 27.6299991607666, '2018-01-12': 26.86000061035156, '2018-01-16': 26.81999969482422}, '1_month_later': {'2018-02-02': 25.89999961853028}, '3_months_later': {'2018-04-02': 25.170000076293945}, '6_months_later': {'2018-07-02': 28.32999992370605}, '12_months_later': {'2019-01-02': 33.900001525878906}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXQ
{'date': '2018-01-02', 'ticker': 'NXQ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.920000076293944, 'high': 14.039999961853027, 'open': 14.010000228881836, 'close': 14.039999961853027, 'ema_50': 14.058756326318996, 'rsi_14': 35.48386600586363, 'target': 14.119999885559082, 'volume': 22800.0, 'ema_200': 13.967343641123753, 'adj_close': 12.837098121643066, 'rsi_lag_1': 22.2222025992927, 'rsi_lag_2': 19.999968210876503, 'rsi_lag_3': 25.00007450565512, 'rsi_lag_4': 30.434860729296773, 'rsi_lag_5': 42.16867608313737, 'macd_lag_1': -0.056470156048094466, 'macd_lag_2': -0.057467875850266026, 'macd_lag_3': -0.05790543274903648, 'macd_lag_4': -0.05456713535732405, 'macd_lag_5': -0.047476237028512, 'macd_12_26_9': -0.04706769379469655, 'macds_12_26_9': -0.04185080922734743}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.119999885559082, '2018-01-04': 14.119999885559082, '2018-01-05': 14.130000114440918, '2018-01-08': 14.130000114440918, '2018-01-09': 14.0600004196167, '2018-01-10': 14.0600004196167, '2018-01-11': 13.960000038146973, '2018-01-12': 13.960000038146973, '2018-01-16': 14.010000228881836}, '1_month_later': {'2018-02-02': 13.619999885559082}, '3_months_later': {'2018-04-02': 13.520000457763672}, '6_months_later': {'2018-07-02': 13.619999885559082}, '12_months_later': {'2019-01-02': 13.579999923706056}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXPI
{'date': '2018-01-02', 'ticker': 'NXPI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 116.8000030517578, 'high': 117.9800033569336, 'open': 117.0, 'close': 117.9499969482422, 'ema_50': 115.5476925255376, 'rsi_14': 77.12083472257643, 'target': 118.08000183105467, 'volume': 1784200.0, 'ema_200': 110.66254982015059, 'adj_close': 114.99497985839844, 'rsi_lag_1': 75.13964158836579, 'rsi_lag_2': 75.48214345764546, 'rsi_lag_3': 78.50242703238624, 'rsi_lag_4': 80.6521807636363, 'rsi_lag_5': 80.82779690203633, 'macd_lag_1': 0.5045833959057546, 'macd_lag_2': 0.48336579752950115, 'macd_lag_3': 0.4604529366080783, 'macd_lag_4': 0.454037662807778, 'macd_lag_5': 0.4514637178956349, 'macd_12_26_9': 0.5840606695800972, 'macds_12_26_9': 0.42618112144366094}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 118.08000183105467, '2018-01-04': 117.87000274658205, '2018-01-05': 118.0500030517578, '2018-01-08': 118.27999877929688, '2018-01-09': 118.4499969482422, '2018-01-10': 119.1500015258789, '2018-01-11': 119.25, '2018-01-12': 119.58000183105467, '2018-01-16': 119.4000015258789}, '1_month_later': {'2018-02-02': 120.62000274658205}, '3_months_later': {'2018-04-02': 115.22000122070312}, '6_months_later': {'2018-07-02': 108.8000030517578}, '12_months_later': {'2019-01-02': 75.02999877929688}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXN
{'date': '2018-01-02', 'ticker': 'NXN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.59000015258789, 'high': 13.890000343322754, 'open': 13.890000343322754, 'close': 13.59000015258789, 'ema_50': 13.720873778298118, 'rsi_14': 44.35485359535838, 'target': 13.729999542236328, 'volume': 6500.0, 'ema_200': 13.823908649452235, 'adj_close': 12.392810821533203, 'rsi_lag_1': 39.855068958344454, 'rsi_lag_2': 42.5531842939862, 'rsi_lag_3': 44.85292003637987, 'rsi_lag_4': 48.2758870164703, 'rsi_lag_5': 56.08106497170225, 'macd_lag_1': -0.02109051598185374, 'macd_lag_2': -0.02014122076253244, 'macd_lag_3': -0.020672924796970804, 'macd_lag_4': -0.027160009037578092, 'macd_lag_5': -0.027917591136581876, 'macd_12_26_9': -0.024784798184903423, 'macds_12_26_9': -0.02374945311160918}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.729999542236328, '2018-01-04': 13.800000190734863, '2018-01-05': 13.949999809265137, '2018-01-08': 14.09000015258789, '2018-01-09': 13.720000267028809, '2018-01-10': 13.989999771118164, '2018-01-11': 13.920000076293944, '2018-01-12': 13.890000343322754, '2018-01-16': 13.699999809265137}, '1_month_later': {'2018-02-02': 13.06999969482422}, '3_months_later': {'2018-04-02': 12.970000267028809}, '6_months_later': {'2018-07-02': 12.890000343322754}, '12_months_later': {'2019-01-02': 12.710000038146973}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NWL
{'date': '2018-01-02', 'ticker': 'NWL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/617270/first-financial-bank-na--trust-division-buys-intel-corp-eaton-corp-plc-ashland-global-holdings-inc-sells-newell-brands-inc-bristolmyers-squibb-company-oshkosh-corp', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'First Financial Bank, N.A. - Trust Division Buys Intel Corp, Eaton Corp PLC, Ashland Global ...', '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': 30.979999542236328, 'high': 31.75, 'open': 31.09000015258789, 'close': 31.63999938964844, 'ema_50': 33.05844570396096, 'rsi_14': 57.792192511558675, 'target': 31.82999992370605, 'volume': 4264400.0, 'ema_200': 41.61761121826751, 'adj_close': 27.935487747192383, 'rsi_lag_1': 49.2347014491457, 'rsi_lag_2': 52.79189193375984, 'rsi_lag_3': 38.52813048568832, 'rsi_lag_4': 40.31531376726926, 'rsi_lag_5': 36.4929021340604, 'macd_lag_1': -0.3440394293012403, 'macd_lag_2': -0.3798926326162011, 'macd_lag_3': -0.4333651189445966, 'macd_lag_4': -0.4647663923338037, 'macd_lag_5': -0.5174311063115766, 'macd_12_26_9': -0.25299731471399056, 'macds_12_26_9': -0.4721434792797123}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 31.82999992370605, '2018-01-04': 32.060001373291016, '2018-01-05': 31.979999542236328, '2018-01-08': 32.08000183105469, '2018-01-09': 31.90999984741211, '2018-01-10': 31.14999961853028, '2018-01-11': 31.90999984741211, '2018-01-12': 32.2599983215332, '2018-01-16': 31.75}, '1_month_later': {'2018-02-02': 27.979999542236328}, '3_months_later': {'2018-04-02': 24.729999542236328}, '6_months_later': {'2018-07-02': 26.270000457763672}, '12_months_later': {'2019-01-02': 18.65999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXGN
{'date': '2018-01-02', 'ticker': 'NXGN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.579999923706056, 'high': 14.130000114440918, 'open': 13.649999618530272, 'close': 13.93000030517578, 'ema_50': 14.180338066854333, 'rsi_14': 51.66051881271459, 'target': 13.869999885559082, 'volume': 297500.0, 'ema_200': 14.778631043135016, 'adj_close': 13.93000030517578, 'rsi_lag_1': 44.117652951521734, 'rsi_lag_2': 44.87180009683459, 'rsi_lag_3': 50.0, 'rsi_lag_4': 50.427360180757944, 'rsi_lag_5': 38.09523268892211, 'macd_lag_1': -0.09889013033295413, 'macd_lag_2': -0.07875980770691093, 'macd_lag_3': -0.061084250615607516, 'macd_lag_4': -0.04883527914453012, 'macd_lag_5': -0.054890833231368674, 'macd_12_26_9': -0.08561453922092532, 'macds_12_26_9': -0.07525546669550902}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.869999885559082, '2018-01-04': 13.31999969482422, '2018-01-05': 13.6899995803833, '2018-01-08': 13.710000038146973, '2018-01-09': 13.84000015258789, '2018-01-10': 14.010000228881836, '2018-01-11': 14.289999961853027, '2018-01-12': 13.829999923706056, '2018-01-16': 13.479999542236328}, '1_month_later': {'2018-02-02': 12.920000076293944}, '3_months_later': {'2018-04-02': 13.649999618530272}, '6_months_later': {'2018-07-02': 20.0}, '12_months_later': {'2019-01-02': 15.260000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
nxe
{'date': '2018-01-02', 'ticker': 'nxe', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.569999933242798, 'high': 2.740000009536743, 'open': 2.569999933242798, 'close': 2.720000028610229, 'ema_50': 2.4609239144750763, 'rsi_14': 49.08256981070003, 'target': 2.700000047683716, 'volume': 306900.0, 'ema_200': 2.282918146006656, 'adj_close': 2.720000028610229, 'rsi_lag_1': 48.1308432039352, 'rsi_lag_2': 53.87930635819142, 'rsi_lag_3': 52.23214048132025, 'rsi_lag_4': 51.31578809776917, 'rsi_lag_5': 39.499998092651374, 'macd_lag_1': 0.05624348639540111, 'macd_lag_2': 0.06487905285318707, 'macd_lag_3': 0.0729211188507426, 'macd_lag_4': 0.08823413371461886, 'macd_lag_5': 0.08715024309712538, 'macd_12_26_9': 0.061600317397641824, 'macds_12_26_9': 0.07911800212420712}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.700000047683716, '2018-01-04': 2.799999952316284, '2018-01-05': 2.809999942779541, '2018-01-08': 2.740000009536743, '2018-01-09': 2.609999895095825, '2018-01-10': 2.5899999141693115, '2018-01-11': 2.549999952316284, '2018-01-12': 2.5299999713897705, '2018-01-16': 2.319999933242798}, '1_month_later': {'2018-02-02': 2.2300000190734863}, '3_months_later': {'2018-04-02': 1.7000000476837158}, '6_months_later': {'2018-07-02': 1.9299999475479128}, '12_months_later': {'2019-01-02': 1.7699999809265137}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXC
{'date': '2018-01-02', 'ticker': 'NXC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.850000381469728, 'high': 15.0, 'open': 14.880000114440918, 'close': 14.859999656677246, 'ema_50': 15.195286710080516, 'rsi_14': 34.745765451515396, 'target': 15.140000343322754, 'volume': 20700.0, 'ema_200': 15.425540050167154, 'adj_close': 14.859999656677246, 'rsi_lag_1': 40.49586255762427, 'rsi_lag_2': 37.984497270203605, 'rsi_lag_3': 39.06252444718623, 'rsi_lag_4': 40.45802527015888, 'rsi_lag_5': 38.09524169944609, 'macd_lag_1': -0.08959375199194142, 'macd_lag_2': -0.08622961357346703, 'macd_lag_3': -0.08373601896988703, 'macd_lag_4': -0.08137171728133019, 'macd_lag_5': -0.0700431783108364, 'macd_12_26_9': -0.09519708076028444, 'macds_12_26_9': -0.07287720242805547}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.140000343322754, '2018-01-04': 15.520000457763672, '2018-01-05': 15.619999885559082, '2018-01-08': 15.359999656677246, '2018-01-09': 15.859999656677246, '2018-01-10': 15.5, '2018-01-11': 15.31999969482422, '2018-01-12': 15.25, '2018-01-16': 15.09000015258789}, '1_month_later': {'2018-02-02': 14.5}, '3_months_later': {'2018-04-02': 13.869999885559082}, '6_months_later': {'2018-07-02': 13.979999542236328}, '12_months_later': {'2019-01-02': 13.460000038146973}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
nx
{'date': '2018-01-02', 'ticker': 'nx', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.89999961853028, 'high': 23.600000381469727, 'open': 23.600000381469727, 'close': 23.200000762939453, 'ema_50': 22.22742924591566, 'rsi_14': 67.74193945337859, 'target': 22.75, 'volume': 246100.0, 'ema_200': 21.14385118171446, 'adj_close': 21.13154029846192, 'rsi_lag_1': 70.4917955898365, 'rsi_lag_2': 72.00000000000006, 'rsi_lag_3': 66.66667753475284, 'rsi_lag_4': 65.54620367146939, 'rsi_lag_5': 65.00001430511925, 'macd_lag_1': 0.48381142366574537, 'macd_lag_2': 0.48978423718449093, 'macd_lag_3': 0.4851925591950028, 'macd_lag_4': 0.5333655099952281, 'macd_lag_5': 0.5667301490292544, 'macd_12_26_9': 0.4576640237544467, 'macds_12_26_9': 0.45376776114644585}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.75, '2018-01-04': 22.75, '2018-01-05': 23.0, '2018-01-08': 22.850000381469727, '2018-01-09': 22.850000381469727, '2018-01-10': 22.39999961853028, '2018-01-11': 22.600000381469727, '2018-01-12': 22.5, '2018-01-16': 22.049999237060547}, '1_month_later': {'2018-02-02': 20.14999961853028}, '3_months_later': {'2018-04-02': 16.950000762939453}, '6_months_later': {'2018-07-02': 18.100000381469727}, '12_months_later': {'2019-01-02': 13.979999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NWSA
{'date': '2018-01-02', 'ticker': 'NWSA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.229999542236328, 'high': 16.450000762939453, 'open': 16.299999237060547, 'close': 16.430000305175778, 'ema_50': 15.553258912031815, 'rsi_14': 45.69893906548334, 'target': 16.489999771118164, 'volume': 2475000.0, 'ema_200': 14.121273499198079, 'adj_close': 15.807750701904297, 'rsi_lag_1': 39.880972654591275, 'rsi_lag_2': 49.142838458646, 'rsi_lag_3': 45.88237274063436, 'rsi_lag_4': 47.27272517096774, 'rsi_lag_5': 46.42855115490933, 'macd_lag_1': 0.22286299694270184, 'macd_lag_2': 0.24699402285015992, 'macd_lag_3': 0.2619830792268196, 'macd_lag_4': 0.28544934953616163, 'macd_lag_5': 0.3051398165690671, 'macd_12_26_9': 0.21896712818876196, 'macds_12_26_9': 0.28785825482943556}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.489999771118164, '2018-01-04': 16.59000015258789, '2018-01-05': 16.799999237060547, '2018-01-08': 16.829999923706055, '2018-01-09': 16.879999160766598, '2018-01-10': 16.850000381469727, '2018-01-11': 17.079999923706055, '2018-01-12': 17.149999618530273, '2018-01-16': 16.969999313354492}, '1_month_later': {'2018-02-02': 16.40999984741211}, '3_months_later': {'2018-04-02': 15.40999984741211}, '6_months_later': {'2018-07-02': 15.149999618530272}, '12_months_later': {'2019-01-02': 11.390000343322756}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NWS
{'date': '2018-01-02', 'ticker': 'NWS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.600000381469727, 'high': 16.850000381469727, 'open': 16.649999618530273, 'close': 16.799999237060547, 'ema_50': 15.852896718846615, 'rsi_14': 46.87497392284978, 'target': 16.899999618530273, 'volume': 463900.0, 'ema_200': 14.45818060108505, 'adj_close': 16.180389404296875, 'rsi_lag_1': 43.33334604903939, 'rsi_lag_2': 52.94119627011277, 'rsi_lag_3': 52.94119627011277, 'rsi_lag_4': 51.51519004754512, 'rsi_lag_5': 51.51513049750657, 'macd_lag_1': 0.25127934703796484, 'macd_lag_2': 0.27142597454888673, 'macd_lag_3': 0.28810155171413143, 'macd_lag_4': 0.30519508399828865, 'macd_lag_5': 0.32766427721080404, 'macd_12_26_9': 0.24858569462453772, 'macds_12_26_9': 0.3072520362754118}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.899999618530273, '2018-01-04': 16.93000030517578, '2018-01-05': 17.200000762939453, '2018-01-08': 17.200000762939453, '2018-01-09': 17.25, '2018-01-10': 17.149999618530273, '2018-01-11': 17.5, '2018-01-12': 17.549999237060547, '2018-01-16': 17.299999237060547}, '1_month_later': {'2018-02-02': 16.75}, '3_months_later': {'2018-04-02': 15.649999618530272}, '6_months_later': {'2018-07-02': 15.449999809265137}, '12_months_later': {'2019-01-02': 11.609999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NWPX
{'date': '2018-01-02', 'ticker': 'NWPX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.049999237060547, 'high': 19.84000015258789, 'open': 19.049999237060547, 'close': 19.239999771118164, 'ema_50': 18.241209941806495, 'rsi_14': 63.27684742122621, 'target': 19.34000015258789, 'volume': 46400.0, 'ema_200': 17.110016842543704, 'adj_close': 19.239999771118164, 'rsi_lag_1': 67.41854804322182, 'rsi_lag_2': 69.04761472256232, 'rsi_lag_3': 63.14363381768315, 'rsi_lag_4': 57.763981409851645, 'rsi_lag_5': 61.61290501208699, 'macd_lag_1': 0.20997285627955264, 'macd_lag_2': 0.16267503720959198, 'macd_lag_3': 0.10095784363248939, 'macd_lag_4': 0.07875211685061956, 'macd_lag_5': 0.10119134536281038, 'macd_12_26_9': 0.2526139374769123, 'macds_12_26_9': 0.13483264269771736}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.34000015258789, '2018-01-04': 19.51000022888184, '2018-01-05': 19.6299991607666, '2018-01-08': 19.31999969482422, '2018-01-09': 19.200000762939453, '2018-01-10': 19.34000015258789, '2018-01-11': 19.729999542236328, '2018-01-12': 19.96999931335449, '2018-01-16': 19.8700008392334}, '1_month_later': {'2018-02-02': 19.18000030517578}, '3_months_later': {'2018-04-02': 17.489999771118164}, '6_months_later': {'2018-07-02': 19.729999542236328}, '12_months_later': {'2019-01-02': 23.39999961853028}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NWN
{'date': '2018-01-02', 'ticker': 'NWN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/18/01/10972013/guggenheim-downgrades-northwest-natural-to-sell', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Guggenheim Downgrades Northwest Natural to Sell', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10971495/watch-shares-of-nw-natural-after-the-company-earlier-filed-for-a-general-rate-in', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Watch Shares of NW Natural After the Company Earlier Filed for a General Rate Increase Which Would Increase Revenue by $40.4M', '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': 57.810001373291016, 'high': 59.25, 'open': 59.25, 'close': 58.79999923706055, 'ema_50': 64.10127619167132, 'rsi_14': 23.904399787349774, 'target': 58.29999923706055, 'volume': 242700.0, 'ema_200': 63.32103153196635, 'adj_close': 54.69194030761719, 'rsi_lag_1': 22.14024456849171, 'rsi_lag_2': 22.058835491580922, 'rsi_lag_3': 15.294144398322416, 'rsi_lag_4': 12.941180694471953, 'rsi_lag_5': 12.595429294598532, 'macd_lag_1': -2.07395131435576, 'macd_lag_2': -2.1064789988360104, 'macd_lag_3': -2.1479018348175387, 'macd_lag_4': -2.0626212146449916, 'macd_lag_5': -1.893224603778215, 'macd_12_26_9': -2.092638338849838, 'macds_12_26_9': -1.740905681444519}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 58.29999923706055, '2018-01-04': 58.09999847412109, '2018-01-05': 58.650001525878906, '2018-01-08': 58.20000076293945, '2018-01-09': 57.45000076293945, '2018-01-10': 56.0, '2018-01-11': 56.75, '2018-01-12': 57.0, '2018-01-16': 57.0}, '1_month_later': {'2018-02-02': 57.04999923706055}, '3_months_later': {'2018-04-02': 57.29999923706055}, '6_months_later': {'2018-07-02': 64.44999694824219}, '12_months_later': {'2019-01-02': 58.41999816894531}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NXJ
{'date': '2018-01-02', 'ticker': 'NXJ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.649999618530272, 'high': 13.710000038146973, 'open': 13.649999618530272, 'close': 13.699999809265137, 'ema_50': 13.68374847961802, 'rsi_14': 42.18746274706153, 'target': 13.800000190734863, 'volume': 57300.0, 'ema_200': 13.742361592538243, 'adj_close': 12.05744457244873, 'rsi_lag_1': 43.076907276392625, 'rsi_lag_2': 35.93746274706129, 'rsi_lag_3': 34.92067096274161, 'rsi_lag_4': 37.87879663612995, 'rsi_lag_5': 42.25354572062187, 'macd_lag_1': -0.02006172757600133, 'macd_lag_2': -0.029041270532136565, 'macd_lag_3': -0.03498908564085923, 'macd_lag_4': -0.04003541526302712, 'macd_lag_5': -0.0357121765545827, 'macd_12_26_9': -0.012797849447109044, 'macds_12_26_9': -0.021584461700639653}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.800000190734863, '2018-01-04': 13.75, '2018-01-05': 13.710000038146973, '2018-01-08': 13.68000030517578, '2018-01-09': 13.630000114440918, '2018-01-10': 13.630000114440918, '2018-01-11': 13.56999969482422, '2018-01-12': 13.539999961853027, '2018-01-16': 13.550000190734863}, '1_month_later': {'2018-02-02': 13.199999809265137}, '3_months_later': {'2018-04-02': 13.079999923706056}, '6_months_later': {'2018-07-02': 13.029999732971191}, '12_months_later': {'2019-01-02': 12.899999618530272}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NYF
{'date': '2018-01-02', 'ticker': 'NYF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 55.63999938964844, 'high': 55.72000122070313, 'open': 55.72000122070313, 'close': 55.68000030517578, 'ema_50': 55.77452857719397, 'rsi_14': 47.407415779866284, 'target': 55.72000122070313, 'volume': 17700.0, 'ema_200': 55.81165598738975, 'adj_close': 52.577613830566406, 'rsi_lag_1': 50.39363456414874, 'rsi_lag_2': 41.66675496969432, 'rsi_lag_3': 40.559451752221655, 'rsi_lag_4': 44.07909431537836, 'rsi_lag_5': 48.795155804761244, 'macd_lag_1': -0.03581070758696825, 'macd_lag_2': -0.05001856726052267, 'macd_lag_3': -0.06335298781736753, 'macd_lag_4': -0.07741464907846307, 'macd_lag_5': -0.07081827571015253, 'macd_12_26_9': -0.032248180620626954, 'macds_12_26_9': -0.04637219290908312}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 55.72000122070313, '2018-01-04': 55.72000122070313, '2018-01-05': 55.70000076293945, '2018-01-08': 55.72000122070313, '2018-01-09': 55.63000106811523, '2018-01-10': 55.54999923706055, '2018-01-11': 55.54999923706055, '2018-01-12': 55.43000030517578, '2018-01-16': 55.5}, '1_month_later': {'2018-02-02': 54.81999969482422}, '3_months_later': {'2018-04-02': 54.70000076293945}, '6_months_later': {'2018-07-02': 54.63999938964844}, '12_months_later': {'2019-01-02': 54.7400016784668}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OCSI
{'date': '2018-01-02', 'ticker': 'OCSI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.390000343322754, 'high': 8.520000457763672, 'open': 8.430000305175781, 'close': 8.430000305175781, 'ema_50': 8.561135488425384, 'rsi_14': 55.65216670191108, 'target': 8.430000305175781, 'volume': 83300.0, 'ema_200': 8.562914328709514, 'adj_close': 7.12717342376709, 'rsi_lag_1': 53.50876459161872, 'rsi_lag_2': 57.54715283600781, 'rsi_lag_3': 60.37736697823015, 'rsi_lag_4': 64.70583835414587, 'rsi_lag_5': 56.41028567050283, 'macd_lag_1': -0.010765603621484487, 'macd_lag_2': -7.414537062189197e-05, 'macd_lag_3': 0.005427674861255838, 'macd_lag_4': 0.009316434773506188, 'macd_lag_5': 0.008035358205214393, 'macd_12_26_9': -0.016626200141219627, 'macds_12_26_9': -0.012071423809136476}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 8.430000305175781, '2018-01-04': 8.449999809265137, '2018-01-05': 8.550000190734863, '2018-01-08': 8.529999732971191, '2018-01-09': 8.4399995803833, '2018-01-10': 8.40999984741211, '2018-01-11': 8.460000038146973, '2018-01-12': 8.449999809265137, '2018-01-16': 8.380000114440918}, '1_month_later': {'2018-02-02': 8.180000305175781}, '3_months_later': {'2018-04-02': 8.029999732971191}, '6_months_later': {'2018-07-02': 8.390000343322754}, '12_months_later': {'2019-01-02': 7.820000171661377}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NYMTN
{'date': '2018-01-02', 'ticker': 'NYMTN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.5, 'high': 24.8799991607666, 'open': 24.790000915527344, 'close': 24.75, 'ema_50': 24.732928424184017, 'rsi_14': 56.61765530859761, 'target': 24.700000762939453, 'volume': 85100.0, 'ema_200': 24.930383149571217, 'adj_close': 19.909086227416992, 'rsi_lag_1': 57.24639884564029, 'rsi_lag_2': 56.93432181267594, 'rsi_lag_3': 84.42620131575651, 'rsi_lag_4': 73.01579612627832, 'rsi_lag_5': 70.22898318188646, 'macd_lag_1': 0.05343369335553305, 'macd_lag_2': 0.06515527567614399, 'macd_lag_3': 0.09036862615495167, 'macd_lag_4': 0.08050834322620659, 'macd_lag_5': 0.07795187414688698, 'macd_12_26_9': 0.048427468668343465, 'macds_12_26_9': 0.04957849589410238}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 24.700000762939453, '2018-01-04': 24.81999969482422, '2018-01-05': 24.82999992370605, '2018-01-08': 24.690000534057617, '2018-01-09': 24.61000061035156, '2018-01-10': 24.68000030517578, '2018-01-11': 24.64999961853028, '2018-01-12': 24.729999542236328, '2018-01-16': 24.739999771118164}, '1_month_later': {'2018-02-02': 24.190000534057617}, '3_months_later': {'2018-04-02': 23.488000869750977}, '6_months_later': {'2018-07-02': 23.729999542236328}, '12_months_later': {'2019-01-02': 22.190000534057617}}
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.
NTNX
{'date': '2018-01-02', 'ticker': 'NTNX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.16999816894531, 'high': 36.16999816894531, 'open': 35.279998779296875, 'close': 35.95000076293945, 'ema_50': 32.218562159787275, 'rsi_14': 49.74618724149149, 'target': 36.77000045776367, 'volume': 1920300.0, 'ema_200': 26.947935274680397, 'adj_close': 35.95000076293945, 'rsi_lag_1': 51.35133488576767, 'rsi_lag_2': 56.8877632942619, 'rsi_lag_3': 51.61291543966961, 'rsi_lag_4': 60.292465614114285, 'rsi_lag_5': 55.08905080581794, 'macd_lag_1': 1.0868439880881127, 'macd_lag_2': 1.1835646217596079, 'macd_lag_3': 1.2307451041673403, 'macd_lag_4': 1.3036081861532978, 'macd_lag_5': 1.339973782297605, 'macd_12_26_9': 1.0521274790567148, 'macds_12_26_9': 1.3050905513590343}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 36.77000045776367, '2018-01-04': 36.2400016784668, '2018-01-05': 36.90999984741211, '2018-01-08': 38.40999984741211, '2018-01-09': 37.27999877929688, '2018-01-10': 37.02000045776367, '2018-01-11': 37.95000076293945, '2018-01-12': 37.84000015258789, '2018-01-16': 36.0099983215332}, '1_month_later': {'2018-02-02': 31.26000022888184}, '3_months_later': {'2018-04-02': 47.65999984741211}, '6_months_later': {'2018-07-02': 52.31999969482422}, '12_months_later': {'2019-01-02': 41.93999862670898}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OCN
{'date': '2018-01-02', 'ticker': 'OCN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.0899999141693115, 'high': 3.150000095367432, 'open': 3.140000104904175, 'close': 3.109999895095825, 'ema_50': 3.2026647870594815, 'rsi_14': 56.249987582378516, 'target': 3.069999933242798, 'volume': 603100.0, 'ema_200': 3.3800165107305764, 'adj_close': 3.109999895095825, 'rsi_lag_1': 62.00000667571705, 'rsi_lag_2': 51.85185021660771, 'rsi_lag_3': 49.122807751365364, 'rsi_lag_4': 47.45762917338649, 'rsi_lag_5': 51.72413651356356, 'macd_lag_1': -0.018830046560408764, 'macd_lag_2': -0.017772136810767503, 'macd_lag_3': -0.013108788650763259, 'macd_lag_4': -0.010020554163015394, 'macd_lag_5': -0.01000581383586363, 'macd_12_26_9': -0.021039764898222124, 'macds_12_26_9': -0.022280340675166793}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.069999933242798, '2018-01-04': 3.0899999141693115, '2018-01-05': 3.049999952316284, '2018-01-08': 3.0199999809265137, '2018-01-09': 3.0199999809265137, '2018-01-10': 3.009999990463257, '2018-01-11': 3.039999961853028, '2018-01-12': 3.049999952316284, '2018-01-16': 3.0299999713897705}, '1_month_later': {'2018-02-02': 3.25}, '3_months_later': {'2018-04-02': 4.130000114440918}, '6_months_later': {'2018-07-02': 4.059999942779541}, '12_months_later': {'2019-01-02': 1.3600000143051147}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OCIO
{'date': '2018-01-02', 'ticker': 'OCIO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.68000030517578, 'high': 26.70599937438965, 'open': 26.700000762939453, 'close': 26.70599937438965, 'ema_50': 26.383329228658162, 'rsi_14': 60.25635895589062, 'target': 26.795000076293945, 'volume': 1000.0, 'ema_200': 25.71166477665661, 'adj_close': 25.49534034729004, 'rsi_lag_1': 69.91622848231597, 'rsi_lag_2': 62.91997496291229, 'rsi_lag_3': 90.86549189222234, 'rsi_lag_4': 81.70017809243217, 'rsi_lag_5': 63.26252867980545, 'macd_lag_1': 0.11924391310560978, 'macd_lag_2': 0.11955830781962362, 'macd_lag_3': 0.13654786366785387, 'macd_lag_4': 0.1328284289967243, 'macd_lag_5': 0.12614902795834837, 'macd_12_26_9': 0.11333092699575431, 'macds_12_26_9': 0.11947154525687811}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.795000076293945, '2018-01-04': 26.795000076293945, '2018-01-05': 27.03899955749512, '2018-01-08': 27.059999465942383, '2018-01-09': 27.084999084472656, '2018-01-10': 27.06999969482422, '2018-01-11': 27.170000076293945, '2018-01-12': 27.170000076293945, '2018-01-16': 27.299999237060547}, '1_month_later': {'2018-02-02': 27.26799964904785}, '3_months_later': {'2018-04-02': 26.479999542236328}, '6_months_later': {'2018-07-02': 26.43899917602539}, '12_months_later': {'2019-01-02': 24.027999877929688}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OCGN
{'date': '2018-01-02', 'ticker': 'OCGN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 121.44000244140624, 'high': 126.0, 'open': 123.0, 'close': 124.1999969482422, 'ema_50': 118.82322650609666, 'rsi_14': 61.03895846537528, 'target': 126.5999984741211, 'volume': 1300.0, 'ema_200': 118.42348899372593, 'adj_close': 124.1999969482422, 'rsi_lag_1': 58.44156230193709, 'rsi_lag_2': 56.57894648783547, 'rsi_lag_3': 56.00000067816828, 'rsi_lag_4': 56.75675536351481, 'rsi_lag_5': 54.79452460435588, 'macd_lag_1': 0.4436213706028269, 'macd_lag_2': -0.02386802537893118, 'macd_lag_3': -0.49802581206000696, 'macd_lag_4': -0.9737972727981514, 'macd_lag_5': -1.8723448859905005, 'macd_12_26_9': 0.9005587294727775, 'macds_12_26_9': -0.8104534185053756}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 126.5999984741211, '2018-01-04': 133.8000030517578, '2018-01-05': 133.1999969482422, '2018-01-08': 134.39999389648438, '2018-01-09': 147.60000610351562, '2018-01-10': 159.0, '2018-01-11': 175.1999969482422, '2018-01-12': 166.8000030517578, '2018-01-16': 161.39999389648438}, '1_month_later': {'2018-02-02': 170.39999389648438}, '3_months_later': {'2018-04-02': 161.39999389648438}, '6_months_later': {'2018-07-02': 147.0}, '12_months_later': {'2019-01-02': 7.380000114440918}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OCFC
{'date': '2018-01-02', 'ticker': 'OCFC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.25, 'high': 26.709999084472656, 'open': 26.31999969482422, 'close': 26.56999969482422, 'ema_50': 26.956425711178245, 'rsi_14': 48.90110034065015, 'target': 26.479999542236328, 'volume': 205000.0, 'ema_200': 26.531690519148675, 'adj_close': 26.56999969482422, 'rsi_lag_1': 39.89071835613726, 'rsi_lag_2': 37.92209992623268, 'rsi_lag_3': 31.27855034571769, 'rsi_lag_4': 31.639728865881267, 'rsi_lag_5': 30.717500775127462, 'macd_lag_1': -0.17836717084693277, 'macd_lag_2': -0.14050276851436294, 'macd_lag_3': -0.11049405967624182, 'macd_lag_4': -0.06142119671861579, 'macd_lag_5': -0.03149297191414746, 'macd_12_26_9': -0.18047329763607678, 'macds_12_26_9': -0.09781204661378341}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.479999542236328, '2018-01-04': 26.39999961853028, '2018-01-05': 26.86000061035156, '2018-01-08': 27.01000022888184, '2018-01-09': 27.270000457763672, '2018-01-10': 27.76000022888184, '2018-01-11': 28.100000381469727, '2018-01-12': 28.09000015258789, '2018-01-16': 27.93000030517578}, '1_month_later': {'2018-02-02': 26.43000030517578}, '3_months_later': {'2018-04-02': 26.309999465942383}, '6_months_later': {'2018-07-02': 30.059999465942383}, '12_months_later': {'2019-01-02': 22.700000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OCC
{'date': '2018-01-02', 'ticker': 'OCC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.400000095367432, 'high': 2.5, 'open': 2.450000047683716, 'close': 2.400000095367432, 'ema_50': 2.448822753584719, 'rsi_14': 46.03174903525609, 'target': 2.5, 'volume': 1900.0, 'ema_200': 2.554181563341957, 'adj_close': 2.400000095367432, 'rsi_lag_1': 40.84507657100256, 'rsi_lag_2': 39.43662681269533, 'rsi_lag_3': 39.43662681269533, 'rsi_lag_4': 41.791050618411695, 'rsi_lag_5': 50.0, 'macd_lag_1': -0.020307427560258162, 'macd_lag_2': -0.02033056619101714, 'macd_lag_3': -0.019046201324329104, 'macd_lag_4': -0.01712984905703907, 'macd_lag_5': -0.01850744865644982, 'macd_12_26_9': -0.02085559536445114, 'macds_12_26_9': -0.014996945637352349}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.5, '2018-01-04': 2.359999895095825, '2018-01-05': 2.400000095367432, '2018-01-08': 2.3499999046325684, '2018-01-09': 2.3499999046325684, '2018-01-10': 2.440000057220459, '2018-01-11': 2.4100000858306885, '2018-01-12': 2.400000095367432, '2018-01-16': 2.400000095367432}, '1_month_later': {'2018-02-02': 2.400000095367432}, '3_months_later': {'2018-04-02': 2.799999952316284}, '6_months_later': {'2018-07-02': 3.950000047683716}, '12_months_later': {'2019-01-02': 3.839999914169312}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OBSV
{'date': '2018-01-02', 'ticker': 'OBSV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.5, 'high': 9.970000267028809, 'open': 9.800000190734863, 'close': 9.8100004196167, 'ema_50': 9.859396950396613, 'rsi_14': 48.38709677419348, 'target': 9.829999923706056, 'volume': 18300.0, 'ema_200': 9.401059483908949, 'adj_close': 9.8100004196167, 'rsi_lag_1': 57.04698673879608, 'rsi_lag_2': 65.00000681196126, 'rsi_lag_3': 67.33332782321156, 'rsi_lag_4': 52.33161210623842, 'rsi_lag_5': 47.19626230697551, 'macd_lag_1': -0.09611374307979759, 'macd_lag_2': -0.09656122678411627, 'macd_lag_3': -0.11100054020930372, 'macd_lag_4': -0.11559763132112089, 'macd_lag_5': -0.11978377115734773, 'macd_12_26_9': -0.0906792179185949, 'macds_12_26_9': -0.11564011151286918}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.829999923706056, '2018-01-04': 9.829999923706056, '2018-01-05': 9.779999732971191, '2018-01-08': 9.829999923706056, '2018-01-09': 9.779999732971191, '2018-01-10': 9.989999771118164, '2018-01-11': 9.75, '2018-01-12': 9.699999809265137, '2018-01-16': 9.699999809265137}, '1_month_later': {'2018-02-02': 11.0}, '3_months_later': {'2018-04-02': 13.550000190734863}, '6_months_later': {'2018-07-02': 15.31999969482422}, '12_months_later': {'2019-01-02': 13.18000030517578}}
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.
OBOR
{'date': '2018-01-02', 'ticker': 'OBOR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.858999252319336, 'high': 25.89999961853028, 'open': 25.871999740600582, 'close': 25.88500022888184, 'ema_50': 25.14787280060739, 'rsi_14': 74.26270634353264, 'target': 26.179000854492188, 'volume': 2900.0, 'ema_200': 25.054451197284326, 'adj_close': 25.88500022888184, 'rsi_lag_1': 71.06686058209094, 'rsi_lag_2': 71.84748403927433, 'rsi_lag_3': 69.40721533559669, 'rsi_lag_4': 61.9453856410823, 'rsi_lag_5': 57.80518409155264, 'macd_lag_1': 0.08863124367130126, 'macd_lag_2': 0.06279896682197972, 'macd_lag_3': 0.03756860072682855, 'macd_lag_4': 0.021619119753950145, 'macd_lag_5': -0.00516190843747566, 'macd_12_26_9': 0.13378615113905923, 'macds_12_26_9': 0.04085093621113344}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.179000854492188, '2018-01-04': 26.42099952697754, '2018-01-05': 26.6200008392334, '2018-01-08': 26.6200008392334, '2018-01-09': 26.540000915527344, '2018-01-10': 26.459999084472656, '2018-01-11': 26.638999938964844, '2018-01-12': 26.790000915527344, '2018-01-16': 26.700000762939453}, '1_month_later': {'2018-02-02': 27.040000915527344}, '3_months_later': {'2018-04-02': 25.577999114990234}, '6_months_later': {'2018-07-02': 22.60099983215332}, '12_months_later': {'2019-01-02': 21.58699989318848}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OBLN
{'date': '2018-01-02', 'ticker': 'OBLN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 66.69999694824219, 'high': 72.80000305175781, 'open': 67.0, 'close': 71.5, 'ema_50': 79.36049904043765, 'rsi_14': 43.459920094179544, 'target': 66.0, 'volume': 2400.0, 'ema_200': 92.54356024051677, 'adj_close': 71.5, 'rsi_lag_1': 25.654450052646794, 'rsi_lag_2': 28.823538387522973, 'rsi_lag_3': 27.528093740382886, 'rsi_lag_4': 30.625009536743164, 'rsi_lag_5': 31.012661895237812, 'macd_lag_1': -3.4487080690427376, 'macd_lag_2': -3.1185871620058094, 'macd_lag_3': -2.9267811298452386, 'macd_lag_4': -2.700486277000323, 'macd_lag_5': -2.5760083189764345, 'macd_12_26_9': -3.2372789363771517, 'macds_12_26_9': -2.912265488444161}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 66.0, '2018-01-04': 69.19999694824219, '2018-01-05': 73.80000305175781, '2018-01-08': 74.30000305175781, '2018-01-09': 75.5, '2018-01-10': 78.0, '2018-01-11': 78.69999694824219, '2018-01-12': 79.0, '2018-01-16': 79.30000305175781}, '1_month_later': {'2018-02-02': 40.70000076293945}, '3_months_later': {'2018-04-02': 35.5}, '6_months_later': {'2018-07-02': 21.100000381469727}, '12_months_later': {'2019-01-02': 23.0}}
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.
OBCI
{'date': '2018-01-02', 'ticker': 'OBCI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.099999904632568, 'high': 4.320000171661377, 'open': 4.320000171661377, 'close': 4.099999904632568, 'ema_50': 4.314148729473395, 'rsi_14': 50.0, 'target': 4.139999866485596, 'volume': 8900.0, 'ema_200': 4.276355202471624, 'adj_close': 3.94692325592041, 'rsi_lag_1': 57.86163446566653, 'rsi_lag_2': 55.92104705912247, 'rsi_lag_3': 49.70413516672094, 'rsi_lag_4': 60.66667577955747, 'rsi_lag_5': 42.15686641166774, 'macd_lag_1': -0.009929474011133976, 'macd_lag_2': -0.022554707558876785, 'macd_lag_3': -0.02917737618637073, 'macd_lag_4': -0.03618770627660162, 'macd_lag_5': -0.07108182062298773, 'macd_12_26_9': -0.019070071791976062, 'macds_12_26_9': -0.044443785684725165}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.139999866485596, '2018-01-04': 4.130000114440918, '2018-01-05': 4.110000133514404, '2018-01-08': 4.070000171661377, '2018-01-09': 3.950000047683716, '2018-01-10': 3.950000047683716, '2018-01-11': 4.150000095367432, '2018-01-12': 4.039999961853027, '2018-01-16': 4.050000190734863}, '1_month_later': {'2018-02-02': 4.130000114440918}, '3_months_later': {'2018-04-02': 3.900000095367432}, '6_months_later': {'2018-07-02': 3.549999952316284}, '12_months_later': {'2019-01-02': 3.319999933242798}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OBAS
{'date': '2018-01-02', 'ticker': 'OBAS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.140000343322754, 'high': 8.550000190734863, 'open': 8.140000343322754, 'close': 8.319999694824219, 'ema_50': 8.23072063132, 'rsi_14': 48.67616935864501, 'target': 8.680000305175781, 'volume': 2300.0, 'ema_200': 8.237703586839945, 'adj_close': 8.319999694824219, 'rsi_lag_1': 44.61538509907423, 'rsi_lag_2': 53.28084117611869, 'rsi_lag_3': 33.082706901700874, 'rsi_lag_4': 39.819004622517426, 'rsi_lag_5': 39.819004622517426, 'macd_lag_1': -0.07607194203543877, 'macd_lag_2': -0.059715359685045044, 'macd_lag_3': -0.11331525694897415, 'macd_lag_4': -0.06298912455986816, 'macd_lag_5': -0.04365663616934867, 'macd_12_26_9': -0.05930209015867227, 'macds_12_26_9': -0.043880986620238316}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 8.680000305175781, '2018-01-04': 8.600000381469727, '2018-01-05': 8.350000381469727, '2018-01-08': 8.350000381469727, '2018-01-09': 8.300000190734863, '2018-01-10': 7.949999809265137, '2018-01-11': 7.650000095367432, '2018-01-12': 7.650000095367432, '2018-01-16': 7.650000095367432}, '1_month_later': {'2018-02-02': 8.25}, '3_months_later': {'2018-04-02': 8.199999809265137}, '6_months_later': {'2018-07-02': 8.550000190734863}, '12_months_later': {'2019-01-02': 8.670000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OAS
{'date': '2018-01-02', 'ticker': 'OAS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.390000343322754, 'high': 8.569999694824219, 'open': 8.529999732971191, 'close': 8.569999694824219, 'ema_50': 8.97034105259408, 'rsi_14': 28.774919834305223, 'target': 8.800000190734863, 'volume': 7460900.0, 'ema_200': 9.549079199462346, 'adj_close': 8.569999694824219, 'rsi_lag_1': 25.373128592291465, 'rsi_lag_2': 31.506846988597445, 'rsi_lag_3': 30.939229357566134, 'rsi_lag_4': 28.64450467849109, 'rsi_lag_5': 20.83334471616152, 'macd_lag_1': -0.37723407237454687, 'macd_lag_2': -0.40681199995606754, 'macd_lag_3': -0.4335559971950236, 'macd_lag_4': -0.457312070323054, 'macd_lag_5': -0.4870907799081987, 'macd_12_26_9': -0.3369979980099984, 'macds_12_26_9': -0.3747145993638389}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 8.800000190734863, '2018-01-04': 8.8100004196167, '2018-01-05': 8.710000038146973, '2018-01-08': 8.65999984741211, '2018-01-09': 8.699999809265137, '2018-01-10': 8.8100004196167, '2018-01-11': 9.34000015258789, '2018-01-12': 9.270000457763672, '2018-01-16': 9.010000228881836}, '1_month_later': {'2018-02-02': 8.329999923706055}, '3_months_later': {'2018-04-02': 7.769999980926514}, '6_months_later': {'2018-07-02': 12.640000343322754}, '12_months_later': {'2019-01-02': 5.539999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
O
{'date': '2018-01-02', 'ticker': 'O', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/heres-why-you-should-hold-on-to-realty-income-o-stock-now-2018-01-02', 'news_author': None, 'news_article': 'Realty IncomeO is likely to remain on the growth curve with strategic acquisitions. During the nine-month period ended Sep 30, 2017, the company invested around $956.9 million in 177 new properties and properties under development or expansion, situated in 35 states. The assets are fully leased with a weighted average lease term of approximately 14.9 years.\nPer a video interview at REITworld 2017 with Nareit, the company\'s CEO, John Case, mentioned that the company continues to witness solid investment opportunities and expects to complete around $1.5 billion of acquisitions in 2017. In fact, according to him, a bigger number of acquisitions are backing the 6% earnings per share increase projected by the company for the year.\nMoreover, in December, Realty Income announced a hike in its common stock monthly cash dividend, giving shareholders another reason to rejoice. This marks the company\'s 94th dividend increase since its NYSE listing in 1994. The company will now pay 21.25 cents per share against 21.20 cents paid earlier. The increased dividend will be paid on Jan 12, 2018, to shareholders of record as of Jan 2, 2018.\nNotably, the company enjoys a trademark on the phrase "The Monthly Dividend Company". The January 2018 dividend not only marks its 570th consecutive monthly payout in its 48-year operating history but also is the 81st consecutive quarterly increase. In fact, the company has generated a compound average annual dividend growth of around 4.6% since its listing on the NYSE. Given its financial position and lower debt-to-equity ratio compared with the industry, this dividend rate is likely to be sustainable.\nRealty Income\'s portfolio comprised 5,062 properties, situated in 49 states and Puerto Rico as of Sep 30, 2017, containing more than 86.4 million leasable square feet of space. These properties are leased to 251 different commercial tenants, belonging to 47 separate industries. The company leases its properties under long-term, net lease agreements.\nLately, shrinking footfall at malls amid shift of consumers toward online channels, store closures and bankruptcy of retailers have emerged as a pressing concerns for most retail REITs including Simon Property Group, Inc. SPG , GGP Inc. GGP and Macerich Company MAC . However, not all are facing the brunt, as a few among these companies are still gaining even in the tepid scenario, thanks to the business models.\nIn fact, this freestanding retail REIT, Realty Income, derives more than 90% of its annualized retail rental revenues from tenants belonging to service, non-discretionary and low-price retail business. Such businesses are less susceptible to economic recessions and competition from Internet retailing.\nAdditionally, Realty Income\'s solid underlying real estate quality and prudent underwriting at acquisition have helped the company maintain high occupancy levels consistently. In fact, since 1996, the company\'s occupancy level has never been below 96%. Additionally, its same-store rent growth has displayed limited operational volatility.\nThe company also maintains a conservative capital structure. It has modest leverage, robust liquidity and continued access to attractively priced equity and debt capital. Additionally, it has a well-laddered debt maturity schedule.\nHowever, Realty Income\'s substantial exposure to single-tenant assets raises risks associated with tenant default. Moreover, despite the company\'s efforts to diversify the tenant base, its tenants in the drug store industry accounted for around 10.8% of its rental revenue in third-quarter 2017. This makes the company\'s results susceptible to any adverse changes in this industry, because a downturn in the industry or a change in legislation relating to prescription drugs, could substantially affect Realty Income\'s tenants and in turn affect the revenue stream of the REIT. Further, rate hike add to its woes.\nShares of Realty Income have outperformed the industry it belongs to, in a month\'s time. This Zacks Rank #3 (Hold) company\'s shares have ascended 3.0%, while the industry registered growth of 2.3% during this time frame. You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here .\nZacks Editor-in-Chief Goes "All In" on This Stock\nFull disclosure, Kevin Matras now has more of his own money in one particular stock than in any other. He believes in its short-term profit potential and also in its prospects to more than double by 2019. Today he reveals and explains his surprising move in a new Special Report.\nDownload it free >>\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nSimon Property Group, Inc. (SPG): Free Stock Analysis Report\nMacerich Company (The) (MAC): Free Stock Analysis Report\nGeneral Growth Properties, Inc. (GGP): Free Stock Analysis Report\nRealty Income Corporation (O): 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': "Moreover, in December, Realty Income announced a hike in its common stock monthly cash dividend, giving shareholders another reason to rejoice. Realty Income's portfolio comprised 5,062 properties, situated in 49 states and Puerto Rico as of Sep 30, 2017, containing more than 86.4 million leasable square feet of space. Additionally, Realty Income's solid underlying real estate quality and prudent underwriting at acquisition have helped the company maintain high occupancy levels consistently.", 'news_luhn_summary': 'Lately, shrinking footfall at malls amid shift of consumers toward online channels, store closures and bankruptcy of retailers have emerged as a pressing concerns for most retail REITs including Simon Property Group, Inc. SPG , GGP Inc. GGP and Macerich Company MAC . In fact, this freestanding retail REIT, Realty Income, derives more than 90% of its annualized retail rental revenues from tenants belonging to service, non-discretionary and low-price retail business. Click to get this free report Simon Property Group, Inc. (SPG): Free Stock Analysis Report Macerich Company (The) (MAC): Free Stock Analysis Report General Growth Properties, Inc. (GGP): Free Stock Analysis Report Realty Income Corporation (O): Free Stock Analysis Report To read this article on Zacks.com click here.', 'news_article_title': "Here's Why You Should Hold on to Realty Income (O) Stock Now", 'news_lexrank_summary': "This marks the company's 94th dividend increase since its NYSE listing in 1994. These properties are leased to 251 different commercial tenants, belonging to 47 separate industries. In fact, this freestanding retail REIT, Realty Income, derives more than 90% of its annualized retail rental revenues from tenants belonging to service, non-discretionary and low-price retail business.", 'news_textrank_summary': 'Notably, the company enjoys a trademark on the phrase "The Monthly Dividend Company". This makes the company\'s results susceptible to any adverse changes in this industry, because a downturn in the industry or a change in legislation relating to prescription drugs, could substantially affect Realty Income\'s tenants and in turn affect the revenue stream of the REIT. Click to get this free report Simon Property Group, Inc. (SPG): Free Stock Analysis Report Macerich Company (The) (MAC): Free Stock Analysis Report General Growth Properties, Inc. (GGP): Free Stock Analysis Report Realty Income Corporation (O): Free Stock Analysis Report To read this article on Zacks.com click here.'}, {'news_url': 'https://www.nasdaq.com/articles/retired-2-stocks-you-should-consider-buying-2018-01-02', 'news_author': None, 'news_article': 'Ah, retirement. That glorious period in our lives when we can kick back, relax, and take advantage of our newfound freedom.\nRetirement is even more pleasant with a portfolio full of sturdy companies that pay regular dividends. That\'s a nice one-two punch providing a bit of supplemental income, plus an underlying investment that has a good chance to grow in price. Here is a pair of stocks that I believe deliver that combination beautifully.\nAT&T\nThe largest telecom company in America in terms of market capitalization and revenue, AT&T (NYSE: T) , is a fine investment for the post-career set.\nThe company has done a good job lifting its revenue lately; in fact, on a trailing 12-month (TTM) basis, that line item is almost the highest it\'s ever been (at just under $161 billion). Even though it\'s had to cope with some subscriber losses -- this is a hotly competitive business, after all -- AT&T is still an enormous profit machine. Its most recent annual bottom line was just under $13 billion.\nCash flow is pretty robust, too. AT&T\'s TTM operating cash flow is just shy of $40 billion; this gives it plenty of scratch for the current and future needs of its business. After all, it\'s expensive to keep a sprawling network up-to-date and operational, then modernize the whole thing for the coming of 5G telephony.\nIn spite of those considerable costs, AT&T has managed to not only pay a generous dividend (currently yielding a beefy 51%), but to raise it annually for 34 years running .\nMeanwhile, the recently passed tax bill should have a very positive effect on this most prominent of corporate taxpayers in terms of sheer money saved. The company\'s proposed takeover of Time Warner is dragging painfully, but AT&T already has a strong asset in the media sphere with DirecTV.\nThis satellite broadcaster makes AT&T more "sticky," as it can bundle such an offering with a phone plan. The takeover of Time Warner -- assuming it ever happens -- should only add to that attractiveness.\nRealty Income\nNo prizes for guessing how often specialty real estate investment trust Realty Income (NYSE: O) pays out its dividend. It\'s even gone as far as to trademark its corporate descriptor, "the monthly dividend company."\nIt\'s able to spit out such regular and substantial distributions because it has a very solid, well-established business model. It specializes in commercial properties rented on a "triple-net" lease basis, i.e. the lessee pays not only rent, but maintenance, insurance, and property taxes, too. On top of that, Realty Income generally lets its properties on a long-term basis, on contracts that are in force for 10 to 20 years.\nMany investors are worried about the "retail apocalypse," in which online merchants will eventually siphon all the business from their traditional brick-and-mortar competitors.\nBut no one, apparently, told Realty Income -- the REIT\'s most recent quarterly occupancy rate was a near-perfect 98%. Thanks to those long-term arrangements with durable companies such as Walmart , FedEx , and CVS , we can expect that figure to stay pretty close to the 100% ceiling.\nSpeaking of that quarter (Q3, to be exact), Realty Income\'s fundamentals were typically solid. The company\'s revenue grew by 11% on a year-over-year basis to $307 million, and adjusted funds from operations rose 15% to nearly $214 million.\nRealty Income is a leader in the commercial REIT segment, and for very good reason. Investors should enjoy continued growth in the company\'s fundamentals while clocking that dividend at a regular and very frequent clip.\nSet \'em and forget \'em\nStocks in retirement should be fairly conservative investments -- well-managed, solid companies with good track records. And ideally, they should reliably produce fundamental growth and sport a dividend that has a good chance of rising. These two companies very much fit this bill.\n10 stocks we like better than AT&T\nWhen investing geniuses David and Tom Gardner have a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor , has tripled the market.*\nDavid and Tom just revealed what they believe are the 10 best stocks for investors to buy right now... and AT&T wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of December 4, 2017\nEric Volkman has no position in any of the stocks mentioned. The Motley Fool recommends CVS, FedEx, and Time Warner. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "The largest telecom company in America in terms of market capitalization and revenue, AT&T (NYSE: T) , is a fine investment for the post-career set. The company has done a good job lifting its revenue lately; in fact, on a trailing 12-month (TTM) basis, that line item is almost the highest it's ever been (at just under $161 billion). In spite of those considerable costs, AT&T has managed to not only pay a generous dividend (currently yielding a beefy 51%), but to raise it annually for 34 years running .", 'news_luhn_summary': "The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. AT&T's TTM operating cash flow is just shy of $40 billion; this gives it plenty of scratch for the current and future needs of its business. The Motley Fool recommends CVS, FedEx, and Time Warner.", 'news_article_title': 'Retired? 2 Stocks You Should Consider Buying', 'news_lexrank_summary': 'Retirement is even more pleasant with a portfolio full of sturdy companies that pay regular dividends. Realty Income No prizes for guessing how often specialty real estate investment trust Realty Income (NYSE: O) pays out its dividend. The Motley Fool recommends CVS, FedEx, and Time Warner.', 'news_textrank_summary': "Realty Income No prizes for guessing how often specialty real estate investment trust Realty Income (NYSE: O) pays out its dividend. Set 'em and forget 'em Stocks in retirement should be fairly conservative investments -- well-managed, solid companies with good track records. 10 stocks we like better than AT&T When investing geniuses David and Tom Gardner have a stock tip, it can pay to listen."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 56.41999816894531, 'high': 57.060001373291016, 'open': 57.02000045776367, 'close': 56.619998931884766, 'ema_50': 56.226280423880695, 'rsi_14': 58.21918416680994, 'target': 56.470001220703125, 'volume': 1621000.0, 'ema_200': 57.06549111473373, 'adj_close': 50.824485778808594, 'rsi_lag_1': 60.19828857368712, 'rsi_lag_2': 64.85081867528626, 'rsi_lag_3': 63.57526047848774, 'rsi_lag_4': 56.76035904090302, 'rsi_lag_5': 53.53674144563737, 'macd_lag_1': 0.21682038586646968, 'macd_lag_2': 0.17505108459608465, 'macd_lag_3': 0.10901040692452568, 'macd_lag_4': 0.06385992118879358, 'macd_lag_5': 0.05519369143995334, 'macd_12_26_9': 0.2151657806849201, 'macds_12_26_9': 0.14237836231466197}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 56.470001220703125, '2018-01-04': 55.25, '2018-01-05': 55.209999084472656, '2018-01-08': 55.27999877929688, '2018-01-09': 54.25, '2018-01-10': 53.060001373291016, '2018-01-11': 53.27999877929688, '2018-01-12': 52.720001220703125, '2018-01-16': 52.93999862670898}, '1_month_later': {'2018-02-02': 51.25}, '3_months_later': {'2018-04-02': 51.16999816894531}, '6_months_later': {'2018-07-02': 53.27999877929688}, '12_months_later': {'2019-01-02': 61.93000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NYV
{'date': '2018-01-02', 'ticker': 'NYV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.260000228881836, 'high': 14.329999923706056, 'open': 14.260000228881836, 'close': 14.31999969482422, 'ema_50': 14.470153965901936, 'rsi_14': 37.179449559231834, 'target': 14.420000076293944, 'volume': 9300.0, 'ema_200': 14.833447467628194, 'adj_close': 12.94794750213623, 'rsi_lag_1': 37.6623569642422, 'rsi_lag_2': 40.25969683045522, 'rsi_lag_3': 47.727275190274156, 'rsi_lag_4': 45.23810064441115, 'rsi_lag_5': 41.8604419062405, 'macd_lag_1': -0.04420207454072589, 'macd_lag_2': -0.048261459085278346, 'macd_lag_3': -0.054777038188177585, 'macd_lag_4': -0.05720569809607312, 'macd_lag_5': -0.046237093117676764, 'macd_12_26_9': -0.042113395821260724, 'macds_12_26_9': -0.04249095164413003}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.420000076293944, '2018-01-04': 14.520000457763672, '2018-01-05': 14.479999542236328, '2018-01-08': 14.479999542236328, '2018-01-09': 14.479999542236328, '2018-01-10': 14.420000076293944, '2018-01-11': 14.449999809265137, '2018-01-12': 14.420000076293944, '2018-01-16': 14.300000190734863}, '1_month_later': {'2018-02-02': 13.93000030517578}, '3_months_later': {'2018-04-02': 13.619999885559082}, '6_months_later': {'2018-07-02': 13.739999771118164}, '12_months_later': {'2019-01-02': 13.239999771118164}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NYMTO
{'date': '2018-01-02', 'ticker': 'NYMTO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.6200008392334, 'high': 24.8799991607666, 'open': 24.64999961853028, 'close': 24.64999961853028, 'ema_50': 24.776050551723962, 'rsi_14': 55.784086590912146, 'target': 24.790000915527344, 'volume': 11700.0, 'ema_200': 24.5113773219836, 'adj_close': 19.968822479248047, 'rsi_lag_1': 48.213093732998544, 'rsi_lag_2': 54.5454806004369, 'rsi_lag_3': 79.32699626047895, 'rsi_lag_4': 78.06130790190724, 'rsi_lag_5': 79.32703417464732, 'macd_lag_1': 0.014708400586048498, 'macd_lag_2': 0.04374305427421987, 'macd_lag_3': 0.06356919331686584, 'macd_lag_4': 0.04824088466430254, 'macd_lag_5': 0.03408373983041457, 'macd_12_26_9': 0.003997953906388574, 'macds_12_26_9': 0.012676077979944798}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 24.790000915527344, '2018-01-04': 24.709999084472656, '2018-01-05': 24.69499969482422, '2018-01-08': 24.57999992370605, '2018-01-09': 24.56999969482422, '2018-01-10': 24.53000068664551, '2018-01-11': 24.714000701904297, '2018-01-12': 24.489999771118164, '2018-01-16': 24.356000900268555}, '1_month_later': {'2018-02-02': 24.1200008392334}, '3_months_later': {'2018-04-02': 23.808000564575195}, '6_months_later': {'2018-07-02': 24.20000076293945}, '12_months_later': {'2019-01-02': 22.5}}
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.
NWHM
{'date': '2018-01-02', 'ticker': 'NWHM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.520000457763672, 'high': 13.0600004196167, 'open': 12.550000190734863, 'close': 13.0600004196167, 'ema_50': 11.973169506278845, 'rsi_14': 56.589145567561516, 'target': 13.43000030517578, 'volume': 139500.0, 'ema_200': 11.333794810672114, 'adj_close': 13.0600004196167, 'rsi_lag_1': 46.411471463934966, 'rsi_lag_2': 46.666684831871976, 'rsi_lag_3': 50.485424308205005, 'rsi_lag_4': 42.62296235294761, 'rsi_lag_5': 39.00415857263889, 'macd_lag_1': 0.1682440689910738, 'macd_lag_2': 0.16797947942746916, 'macd_lag_3': 0.1835256357456725, 'macd_lag_4': 0.1905169606417978, 'macd_lag_5': 0.1905601440843654, 'macd_12_26_9': 0.20881331423352734, 'macds_12_26_9': 0.20223434749078684}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.43000030517578, '2018-01-04': 13.0600004196167, '2018-01-05': 12.850000381469728, '2018-01-08': 12.84000015258789, '2018-01-09': 12.68000030517578, '2018-01-10': 12.529999732971191, '2018-01-11': 12.65999984741211, '2018-01-12': 12.649999618530272, '2018-01-16': 12.520000457763672}, '1_month_later': {'2018-02-02': 11.760000228881836}, '3_months_later': {'2018-04-02': 10.59000015258789}, '6_months_later': {'2018-07-02': 9.850000381469728}, '12_months_later': {'2019-01-02': 6.010000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUV
{'date': '2018-01-02', 'ticker': 'NUV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.119999885559082, 'high': 10.149999618530272, 'open': 10.130000114440918, 'close': 10.130000114440918, 'ema_50': 10.138977871387455, 'rsi_14': 40.98362962395507, 'target': 10.140000343322754, 'volume': 289200.0, 'ema_200': 10.112820484691175, 'adj_close': 9.218599319458008, 'rsi_lag_1': 40.98362962395507, 'rsi_lag_2': 45.90162140359051, 'rsi_lag_3': 47.61898995158961, 'rsi_lag_4': 37.7358320812605, 'rsi_lag_5': 43.10345394574561, 'macd_lag_1': -0.014178259042617825, 'macd_lag_2': -0.018274329922563837, 'macd_lag_3': -0.026291115676619015, 'macd_lag_4': -0.035122828143075324, 'macd_lag_5': -0.03468446223831023, 'macd_12_26_9': -0.010807511099152123, 'macds_12_26_9': -0.018856876044748387}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.140000343322754, '2018-01-04': 10.18000030517578, '2018-01-05': 10.210000038146973, '2018-01-08': 10.220000267028809, '2018-01-09': 10.15999984741211, '2018-01-10': 10.170000076293944, '2018-01-11': 10.079999923706056, '2018-01-12': 10.0600004196167, '2018-01-16': 10.050000190734863}, '1_month_later': {'2018-02-02': 9.539999961853027}, '3_months_later': {'2018-04-02': 9.479999542236328}, '6_months_later': {'2018-07-02': 9.59000015258789}, '12_months_later': {'2019-01-02': 9.40999984741211}}
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.
NWE
{'date': '2018-01-02', 'ticker': 'NWE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/tax-reform-surprise-utilities-may-not-get-much-benefit-tax-cut-2018-01-02', 'news_author': None, 'news_article': "Regulated utilities that thought the recently passed corporate tax cut would result in a profit windfall may be in for a big surprise. The first salvo in what is likely to become a barrage came when Montana regulators asked NorthWestern Corp. 's (NYSE: NWE) NorthWestern Energy utility to come up with a proposal for how it will use its tax reduction to benefit customers.\nWyoming's regulators have also brought up the topic, and we could soon see widespread pressure for regulated utilities across the country to cut customers significant breaks that parallel the one the companies received from the Republican tax overhaul. It's possible that the tax cut won't benefit many utility companies or their investors at all.\nWhy regulated utilities may not see tax benefit\nRegulated utilities aren't just regulated in the sense that the government watches over what they do: Their returns are regulated, too. So, when they get a big boost to their margins -- as they will now that Congress has cut the corporate tax rate from 35% to 21% -- the resulting higher profits cause state regulators to take notice.\nSince utilities and regulators had set power rates to provide what they viewed as a reasonable profitability level based on the previous 35% tax rate, it makes sense that regulators would want to modify rates now.\nBut the benefit to customers may not come back solely in the form of rate cuts; companies may be allowed to make greater investments in energy access or safety, depending on where utilities and regulators jointly conclude the funds are needed. Montana's regulators didn't specifically demand lower rates: They gave the utility discretion to make a proposal, though it will have to show it's using the money to benefit customers.\nSo windfalls probably aren't coming, and whatever changes result from the corporate tax cut, the benefits may not make their way to utility shareholders.\nUtility stocks are already feeling the impact\nBelow, I pulled the returns for utility stocks NorthWestern, Xcel Energy (NYSE: XEL) , and Southern Co. (NYSE: SO) . They all generally tracked the S&P 500 's return from October to mid December, but when the Republican tax bill passed, their share prices fell off a cliff.\nXEL data by YCharts .\nIt's not certain that the drop was due to utilities having to adjust their return expectations because of the tax law, but the timing of the synchronized tumble suggests that investors were adjusting their expectations based on its anticipated impact.\nTaxes are the least of utilities' problems\nBeyond the fact that the tax windfall may not be as big as utilities hoped, these companies are dealing with growing threats to their business models. The advent of cost-effective rooftop solar power systems has allowed large numbers of customers to produce their own electricity. In 2018, we'll likely see more economical energy storage add to utilities' difficulties by allowing commercial and residential customers to lower their bills despite the dynamic pricing and other rate structures put in place by utilities to combat the advance of the solar energy industry.\nThere's just no reason to think that regulated utilities will increase profits in the long term as these threats become more mature and widespread. So, if their short-term profitability outlook isn't great either, it's not a good sign for utility stocks.\n10 stocks we like better than NorthWestern\nWhen investing geniuses David and Tom Gardner have a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor , has tripled the market.*\nDavid and Tom just revealed what they believe are the 10 best stocks for investors to buy right now... and NorthWestern wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of December 4, 2017\nTravis Hoium has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "The first salvo in what is likely to become a barrage came when Montana regulators asked NorthWestern Corp. 's (NYSE: NWE) NorthWestern Energy utility to come up with a proposal for how it will use its tax reduction to benefit customers. So, when they get a big boost to their margins -- as they will now that Congress has cut the corporate tax rate from 35% to 21% -- the resulting higher profits cause state regulators to take notice. But the benefit to customers may not come back solely in the form of rate cuts; companies may be allowed to make greater investments in energy access or safety, depending on where utilities and regulators jointly conclude the funds are needed.", 'news_luhn_summary': "The first salvo in what is likely to become a barrage came when Montana regulators asked NorthWestern Corp. 's (NYSE: NWE) NorthWestern Energy utility to come up with a proposal for how it will use its tax reduction to benefit customers. Why regulated utilities may not see tax benefit Regulated utilities aren't just regulated in the sense that the government watches over what they do: Their returns are regulated, too. Utility stocks are already feeling the impact Below, I pulled the returns for utility stocks NorthWestern, Xcel Energy (NYSE: XEL) , and Southern Co. (NYSE: SO) .", 'news_article_title': 'Tax Reform Surprise: Utilities May Not Get Much Benefit From the Tax Cut', 'news_lexrank_summary': "The first salvo in what is likely to become a barrage came when Montana regulators asked NorthWestern Corp. 's (NYSE: NWE) NorthWestern Energy utility to come up with a proposal for how it will use its tax reduction to benefit customers. Why regulated utilities may not see tax benefit Regulated utilities aren't just regulated in the sense that the government watches over what they do: Their returns are regulated, too. Since utilities and regulators had set power rates to provide what they viewed as a reasonable profitability level based on the previous 35% tax rate, it makes sense that regulators would want to modify rates now.", 'news_textrank_summary': "The first salvo in what is likely to become a barrage came when Montana regulators asked NorthWestern Corp. 's (NYSE: NWE) NorthWestern Energy utility to come up with a proposal for how it will use its tax reduction to benefit customers. Why regulated utilities may not see tax benefit Regulated utilities aren't just regulated in the sense that the government watches over what they do: Their returns are regulated, too. Since utilities and regulators had set power rates to provide what they viewed as a reasonable profitability level based on the previous 35% tax rate, it makes sense that regulators would want to modify rates now."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 58.0099983215332, 'high': 59.81999969482422, 'open': 59.75, 'close': 58.29999923706055, 'ema_50': 60.579452178394604, 'rsi_14': 24.973083597296096, 'target': 57.810001373291016, 'volume': 619800.0, 'ema_200': 59.86553597480711, 'adj_close': 53.27440643310547, 'rsi_lag_1': 28.22384947626783, 'rsi_lag_2': 28.829918280781143, 'rsi_lag_3': 22.987016654372113, 'rsi_lag_4': 27.506111443251953, 'rsi_lag_5': 25.773197227724324, 'macd_lag_1': -0.65884463674616, 'macd_lag_2': -0.6777185435499078, 'macd_lag_3': -0.682787135700643, 'macd_lag_4': -0.6161978891891309, 'macd_lag_5': -0.5049336251008043, 'macd_12_26_9': -0.7482302202407283, 'macds_12_26_9': -0.44947097372594413}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 57.810001373291016, '2018-01-04': 57.45000076293945, '2018-01-05': 57.40999984741211, '2018-01-08': 57.79999923706055, '2018-01-09': 57.41999816894531, '2018-01-10': 56.209999084472656, '2018-01-11': 56.08000183105469, '2018-01-12': 55.400001525878906, '2018-01-16': 53.90999984741211}, '1_month_later': {'2018-02-02': 52.86000061035156}, '3_months_later': {'2018-04-02': 52.83000183105469}, '6_months_later': {'2018-07-02': 57.34999847412109}, '12_months_later': {'2019-01-02': 58.02999877929688}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUMV
{'date': '2018-01-02', 'ticker': 'NUMV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.190000534057617, 'high': 28.190000534057617, 'open': 28.190000534057617, 'close': 28.190000534057617, 'ema_50': 27.610229445102235, 'rsi_14': 55.52487885924852, 'target': 28.190000534057617, 'volume': 600.0, 'ema_200': 26.570123389082895, 'adj_close': 26.41977310180664, 'rsi_lag_1': 61.419243628058986, 'rsi_lag_2': 59.77887129316707, 'rsi_lag_3': 62.638192090396004, 'rsi_lag_4': 50.963968845076316, 'rsi_lag_5': 63.03937075499381, 'macd_lag_1': 0.1968553462311995, 'macd_lag_2': 0.20140162356401703, 'macd_lag_3': 0.2093658740840958, 'macd_lag_4': 0.21648583203395333, 'macd_lag_5': 0.22242460262399888, 'macd_12_26_9': 0.19025234321085094, 'macds_12_26_9': 0.20522396882169575}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 28.190000534057617, '2018-01-04': 28.34000015258789, '2018-01-05': 28.3799991607666, '2018-01-08': 28.3799991607666, '2018-01-09': 28.582000732421875, '2018-01-10': 28.582000732421875, '2018-01-11': 28.7450008392334, '2018-01-12': 28.979999542236328, '2018-01-16': 28.920000076293945}, '1_month_later': {'2018-02-02': 28.690000534057617}, '3_months_later': {'2018-04-02': 27.030000686645508}, '6_months_later': {'2018-07-02': 28.049999237060547}, '12_months_later': {'2019-01-02': 23.82900047302246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUMG
{'date': '2018-01-02', 'ticker': 'NUMG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.358999252319336, 'high': 29.3700008392334, 'open': 29.3700008392334, 'close': 29.358999252319336, 'ema_50': 28.79820673931183, 'rsi_14': 62.86270135728244, 'target': 29.56999969482422, 'volume': 800.0, 'ema_200': 27.57081674975764, 'adj_close': 29.358999252319336, 'rsi_lag_1': 63.25885914579734, 'rsi_lag_2': 66.42908177518684, 'rsi_lag_3': 68.6630988892812, 'rsi_lag_4': 63.40783015832085, 'rsi_lag_5': 52.57011303292233, 'macd_lag_1': 0.19286271246051356, 'macd_lag_2': 0.19970246623728372, 'macd_lag_3': 0.19972416051906805, 'macd_lag_4': 0.20957404434026827, 'macd_lag_5': 0.2131922161067159, 'macd_12_26_9': 0.18522618492959353, 'macds_12_26_9': 0.19408268193270845}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 29.56999969482422, '2018-01-04': 29.8700008392334, '2018-01-05': 30.0310001373291, '2018-01-08': 30.209999084472656, '2018-01-09': 30.152999877929688, '2018-01-10': 30.14999961853028, '2018-01-11': 29.940000534057617, '2018-01-12': 30.358999252319336, '2018-01-16': 30.61000061035156}, '1_month_later': {'2018-02-02': 30.31999969482422}, '3_months_later': {'2018-04-02': 28.729999542236328}, '6_months_later': {'2018-07-02': 30.98500061035156}, '12_months_later': {'2019-01-02': 26.14900016784668}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUM
{'date': '2018-01-02', 'ticker': 'NUM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.239999771118164, 'high': 13.31999969482422, 'open': 13.25, 'close': 13.25, 'ema_50': 13.38102923011403, 'rsi_14': 31.88402191520298, 'target': 13.390000343322754, 'volume': 46300.0, 'ema_200': 13.59442515276083, 'adj_close': 13.25, 'rsi_lag_1': 36.1110927145739, 'rsi_lag_2': 35.13509333780101, 'rsi_lag_3': 36.8421052631579, 'rsi_lag_4': 30.43471049707263, 'rsi_lag_5': 36.8421052631579, 'macd_lag_1': -0.04990927548273838, 'macd_lag_2': -0.054056027148497776, 'macd_lag_3': -0.06059883384154929, 'macd_lag_4': -0.06806839680116639, 'macd_lag_5': -0.06337581428216765, 'macd_12_26_9': -0.04688936835646196, 'macds_12_26_9': -0.04766285582508002}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.390000343322754, '2018-01-04': 13.369999885559082, '2018-01-05': 13.329999923706056, '2018-01-08': 13.300000190734863, '2018-01-09': 13.300000190734863, '2018-01-10': 13.3100004196167, '2018-01-11': 13.260000228881836, '2018-01-12': 13.1899995803833, '2018-01-16': 13.220000267028809}, '1_month_later': {'2018-02-02': 12.81999969482422}, '3_months_later': {'2018-04-02': 12.670000076293944}, '6_months_later': {'2018-07-02': 12.65999984741211}, '12_months_later': {'2019-01-02': 12.59000015258789}}
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.
NULV
{'date': '2018-01-02', 'ticker': 'NULV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.63999938964844, 'high': 28.64699935913086, 'open': 28.63999938964844, 'close': 28.64699935913086, 'ema_50': 28.199286793132664, 'rsi_14': 59.91995463368889, 'target': 28.729999542236328, 'volume': 3300.0, 'ema_200': 27.066016976213962, 'adj_close': 27.165632247924805, 'rsi_lag_1': 58.323439394093974, 'rsi_lag_2': 58.323439394093974, 'rsi_lag_3': 56.796671386186084, 'rsi_lag_4': 55.807222670199316, 'rsi_lag_5': 59.430981097578865, 'macd_lag_1': 0.18122599687355034, 'macd_lag_2': 0.20375352375007338, 'macd_lag_3': 0.229543152254287, 'macd_lag_4': 0.26115769703007885, 'macd_lag_5': 0.28345601743832205, 'macd_12_26_9': 0.16685565588595708, 'macds_12_26_9': 0.21543306039295912}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 28.729999542236328, '2018-01-04': 28.729999542236328, '2018-01-05': 29.030000686645508, '2018-01-08': 28.9950008392334, '2018-01-09': 29.299999237060547, '2018-01-10': 29.308000564575195, '2018-01-11': 29.36000061035156, '2018-01-12': 29.63800048828125, '2018-01-16': 29.604999542236328}, '1_month_later': {'2018-02-02': 29.670000076293945}, '3_months_later': {'2018-04-02': 27.31999969482422}, '6_months_later': {'2018-07-02': 28.57999992370605}, '12_months_later': {'2019-01-02': 26.202999114990234}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NULG
{'date': '2018-01-02', 'ticker': 'NULG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.28300094604492, 'high': 31.28300094604492, 'open': 31.28300094604492, 'close': 31.28300094604492, 'ema_50': 30.824523350622044, 'rsi_14': 54.855828021099235, 'target': 31.28300094604492, 'volume': 500.0, 'ema_200': 29.256065657973068, 'adj_close': 29.74828147888184, 'rsi_lag_1': 62.858847117317225, 'rsi_lag_2': 62.858847117317225, 'rsi_lag_3': 62.10184234663832, 'rsi_lag_4': 58.03570820362257, 'rsi_lag_5': 56.358342309604815, 'macd_lag_1': 0.13459258050500367, 'macd_lag_2': 0.14826451275530061, 'macd_lag_3': 0.16355829518742837, 'macd_lag_4': 0.18395783306844393, 'macd_lag_5': 0.2042646957516716, 'macd_12_26_9': 0.12880877480078823, 'macds_12_26_9': 0.16138754554432663}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 31.28300094604492, '2018-01-04': 31.78000068664551, '2018-01-05': 32.05699920654297, '2018-01-08': 32.12799835205078, '2018-01-09': 32.27000045776367, '2018-01-10': 32.09000015258789, '2018-01-11': 32.06999969482422, '2018-01-12': 32.707000732421875, '2018-01-16': 32.56999969482422}, '1_month_later': {'2018-02-02': 32.790000915527344}, '3_months_later': {'2018-04-02': 31.36000061035156}, '6_months_later': {'2018-07-02': 34.360000610351555}, '12_months_later': {'2019-01-02': 29.96999931335449}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUEM
{'date': '2018-01-02', 'ticker': 'NUEM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.864999771118164, 'high': 29.950000762939453, 'open': 29.8799991607666, 'close': 29.950000762939453, 'ema_50': 28.41089374082265, 'rsi_14': 79.39013939330655, 'target': 30.170000076293945, 'volume': 1600.0, 'ema_200': 26.962197625916563, 'adj_close': 28.765640258789062, 'rsi_lag_1': 77.66719083258852, 'rsi_lag_2': 78.13716249765845, 'rsi_lag_3': 75.25360498956293, 'rsi_lag_4': 64.45031308771496, 'rsi_lag_5': 61.87883181986102, 'macd_lag_1': 0.24672990719821186, 'macd_lag_2': 0.2086049431603456, 'macd_lag_3': 0.177884047664854, 'macd_lag_4': 0.1675474291836565, 'macd_lag_5': 0.15191709171588386, 'macd_12_26_9': 0.31367419631964566, 'macds_12_26_9': 0.18678338324787036}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 30.170000076293945, '2018-01-04': 30.190000534057617, '2018-01-05': 30.39900016784668, '2018-01-08': 30.520000457763672, '2018-01-09': 30.46999931335449, '2018-01-10': 30.309999465942383, '2018-01-11': 30.530000686645508, '2018-01-12': 30.76799964904785, '2018-01-16': 30.645000457763672}, '1_month_later': {'2018-02-02': 30.600000381469727}, '3_months_later': {'2018-04-02': 29.06999969482422}, '6_months_later': {'2018-07-02': 26.11000061035156}, '12_months_later': {'2019-01-02': 23.96699905395508}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUDM
{'date': '2018-01-02', 'ticker': 'NUDM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.940000534057617, 'high': 27.020000457763672, 'open': 27.020000457763672, 'close': 26.940000534057617, 'ema_50': 26.591923226453716, 'rsi_14': 60.775901640017935, 'target': 27.280000686645508, 'volume': 100.0, 'ema_200': 25.869886633761475, 'adj_close': 25.403789520263672, 'rsi_lag_1': 61.055680414446755, 'rsi_lag_2': 63.404824880438916, 'rsi_lag_3': 66.94918972341128, 'rsi_lag_4': 57.08683503320479, 'rsi_lag_5': 56.6425818627114, 'macd_lag_1': 0.09440601318815922, 'macd_lag_2': 0.09031758537081203, 'macd_lag_3': 0.0837855544421835, 'macd_lag_4': 0.08135685037440155, 'macd_lag_5': 0.08593173939254939, 'macd_12_26_9': 0.0965333453733912, 'macds_12_26_9': 0.08581871734535766}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.280000686645508, '2018-01-04': 27.280000686645508, '2018-01-05': 27.709999084472656, '2018-01-08': 27.687000274658203, '2018-01-09': 27.73500061035156, '2018-01-10': 27.71999931335449, '2018-01-11': 27.799999237060547, '2018-01-12': 28.049999237060547, '2018-01-16': 28.07999992370605}, '1_month_later': {'2018-02-02': 27.809999465942383}, '3_months_later': {'2018-04-02': 26.22800064086914}, '6_months_later': {'2018-07-02': 25.530000686645508}, '12_months_later': {'2019-01-02': 22.29400062561035}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUBD
{'date': '2018-01-02', 'ticker': 'NUBD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.878999710083008, 'high': 24.878999710083008, 'open': 24.878999710083008, 'close': 24.878999710083008, 'ema_50': 24.988068554859854, 'rsi_14': 41.308094586210174, 'target': 24.88999938964844, 'volume': 200.0, 'ema_200': 25.062414617514513, 'adj_close': 23.222055435180664, 'rsi_lag_1': 47.16991996314893, 'rsi_lag_2': 41.99997711173026, 'rsi_lag_3': 36.734773317348505, 'rsi_lag_4': 26.9230346001347, 'rsi_lag_5': 31.24995032941588, 'macd_lag_1': -0.0366713929368494, 'macd_lag_2': -0.042113725169361516, 'macd_lag_3': -0.04437473636270184, 'macd_lag_4': -0.04356073695578999, 'macd_lag_5': -0.037815346503368374, 'macd_12_26_9': -0.03685571241149077, 'macds_12_26_9': -0.03561902832054302}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 24.88999938964844, '2018-01-04': 24.89999961853028, '2018-01-05': 24.8700008392334, '2018-01-08': 24.86000061035156, '2018-01-09': 24.850000381469727, '2018-01-10': 24.75900077819824, '2018-01-11': 24.790000915527344, '2018-01-12': 24.79599952697754, '2018-01-16': 24.816999435424805}, '1_month_later': {'2018-02-02': 24.46999931335449}, '3_months_later': {'2018-04-02': 24.34000015258789}, '6_months_later': {'2018-07-02': 24.224000930786133}, '12_months_later': {'2019-01-02': 24.309999465942383}}
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.
NTWK
{'date': '2018-01-02', 'ticker': 'NTWK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.75, 'high': 4.849999904632568, 'open': 4.75, 'close': 4.800000190734863, 'ema_50': 4.273714685570067, 'rsi_14': 65.62500116415302, 'target': 4.800000190734863, 'volume': 7900.0, 'ema_200': 4.344825767569232, 'adj_close': 4.800000190734863, 'rsi_lag_1': 63.02520705350313, 'rsi_lag_2': 66.66666666666666, 'rsi_lag_3': 65.21738589598732, 'rsi_lag_4': 60.0, 'rsi_lag_5': 71.42859089131788, 'macd_lag_1': 0.20710977246930273, 'macd_lag_2': 0.22188985447319265, 'macd_lag_3': 0.23345440150442176, 'macd_lag_4': 0.24991019693176675, 'macd_lag_5': 0.26727871841275164, 'macd_12_26_9': 0.20034921016592389, 'macds_12_26_9': 0.22692279309716065}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.800000190734863, '2018-01-04': 4.699999809265137, '2018-01-05': 4.650000095367432, '2018-01-08': 4.699999809265137, '2018-01-09': 5.099999904632568, '2018-01-10': 5.349999904632568, '2018-01-11': 5.25, '2018-01-12': 5.199999809265137, '2018-01-16': 5.150000095367432}, '1_month_later': {'2018-02-02': 4.949999809265137}, '3_months_later': {'2018-04-02': 4.550000190734863}, '6_months_later': {'2018-07-02': 5.550000190734863}, '12_months_later': {'2019-01-02': 6.300000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NTRS
{'date': '2018-01-02', 'ticker': 'NTRS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 99.1999969482422, 'high': 104.83999633789062, 'open': 104.83999633789062, 'close': 99.45999908447266, 'ema_50': 96.30459214029075, 'rsi_14': 58.3187303962668, 'target': 100.0500030517578, 'volume': 979900.0, 'ema_200': 91.2874655159496, 'adj_close': 93.2636947631836, 'rsi_lag_1': 59.6773785572139, 'rsi_lag_2': 63.464954874375685, 'rsi_lag_3': 60.56198606161023, 'rsi_lag_4': 58.13951177691294, 'rsi_lag_5': 50.1203141566904, 'macd_lag_1': 1.1334955755935994, 'macd_lag_2': 1.1146207945452744, 'macd_lag_3': 1.0305351950141528, 'macd_lag_4': 1.0752035466311725, 'macd_lag_5': 1.1145412601773046, 'macd_12_26_9': 1.101064162320057, 'macds_12_26_9': 1.083737487793104}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 100.0500030517578, '2018-01-04': 101.5500030517578, '2018-01-05': 102.0, '2018-01-08': 102.5, '2018-01-09': 104.26000213623048, '2018-01-10': 105.76000213623048, '2018-01-11': 105.9499969482422, '2018-01-12': 107.26000213623048, '2018-01-16': 106.61000061035156}, '1_month_later': {'2018-02-02': 104.62999725341795}, '3_months_later': {'2018-04-02': 101.41000366210938}, '6_months_later': {'2018-07-02': 104.0199966430664}, '12_months_later': {'2019-01-02': 84.05000305175781}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NTRP
{'date': '2018-01-02', 'ticker': 'NTRP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.980000019073486, 'high': 7.730000019073486, 'open': 6.980000019073486, 'close': 7.25, 'ema_50': 6.487379099299123, 'rsi_14': 58.37438224042294, 'target': 7.579999923706055, 'volume': 78300.0, 'ema_200': 7.066788119675006, 'adj_close': 7.25, 'rsi_lag_1': 50.46728930313811, 'rsi_lag_2': 51.59817212407566, 'rsi_lag_3': 49.3449787115088, 'rsi_lag_4': 56.27802688185779, 'rsi_lag_5': 50.43103412839087, 'macd_lag_1': 0.28149727600962215, 'macd_lag_2': 0.32515648012261344, 'macd_lag_3': 0.38531560374308604, 'macd_lag_4': 0.4534413641110122, 'macd_lag_5': 0.49612638097298944, 'macd_12_26_9': 0.2608355404911169, 'macds_12_26_9': 0.39204315619429486}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 7.579999923706055, '2018-01-04': 7.800000190734862, '2018-01-05': 7.630000114440918, '2018-01-08': 7.199999809265138, '2018-01-09': 7.0, '2018-01-10': 6.550000190734862, '2018-01-11': 6.75, '2018-01-12': 6.980000019073486, '2018-01-16': 7.190000057220459}, '1_month_later': {'2018-02-02': 7.820000171661378}, '3_months_later': {'2018-04-02': 8.289999961853027}, '6_months_later': {'2018-07-02': 9.65999984741211}, '12_months_later': {'2019-01-02': 3.7300000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NTRA
{'date': '2018-01-02', 'ticker': 'NTRA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.819999694824219, 'high': 9.5, 'open': 9.079999923706056, 'close': 9.470000267028809, 'ema_50': 10.1116372320816, 'rsi_14': 49.35622914861474, 'target': 9.510000228881836, 'volume': 133300.0, 'ema_200': 10.616927426743196, 'adj_close': 9.470000267028809, 'rsi_lag_1': 36.02149765785871, 'rsi_lag_2': 39.41177361564342, 'rsi_lag_3': 40.85365463622277, 'rsi_lag_4': 50.802131946714596, 'rsi_lag_5': 48.16754710951773, 'macd_lag_1': -0.20974504922868142, 'macd_lag_2': -0.17680880177282887, 'macd_lag_3': -0.1708893295555569, 'macd_lag_4': -0.1720482325391135, 'macd_lag_5': -0.1761158229305657, 'macd_12_26_9': -0.19486890668721912, 'macds_12_26_9': -0.2071583680995055}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.510000228881836, '2018-01-04': 9.720000267028809, '2018-01-05': 9.899999618530272, '2018-01-08': 9.789999961853027, '2018-01-09': 9.770000457763672, '2018-01-10': 9.710000038146973, '2018-01-11': 10.100000381469728, '2018-01-12': 10.18000030517578, '2018-01-16': 9.869999885559082}, '1_month_later': {'2018-02-02': 10.130000114440918}, '3_months_later': {'2018-04-02': 8.84000015258789}, '6_months_later': {'2018-07-02': 18.81999969482422}, '12_months_later': {'2019-01-02': 12.949999809265137}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OCSL
{'date': '2018-01-02', 'ticker': 'OCSL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.889999866485596, 'high': 5.059999942779541, 'open': 4.889999866485596, 'close': 4.980000019073486, 'ema_50': 5.112678773447518, 'rsi_14': 59.803898652609654, 'target': 4.989999771118164, 'volume': 1585200.0, 'ema_200': 5.152136756241887, 'adj_close': 4.096966743469238, 'rsi_lag_1': 55.319138143127084, 'rsi_lag_2': 57.894710424555385, 'rsi_lag_3': 54.999992847446045, 'rsi_lag_4': 63.95350062182882, 'rsi_lag_5': 50.0, 'macd_lag_1': -0.08611655438003396, 'macd_lag_2': -0.09367337781367979, 'macd_lag_3': -0.10399247228603326, 'macd_lag_4': -0.1156507714520405, 'macd_lag_5': -0.14310338794112187, 'macd_12_26_9': -0.07203508163293026, 'macds_12_26_9': -0.11864625220526197}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.989999771118164, '2018-01-04': 4.989999771118164, '2018-01-05': 4.909999847412109, '2018-01-08': 4.860000133514404, '2018-01-09': 4.860000133514404, '2018-01-10': 4.889999866485596, '2018-01-11': 4.96999979019165, '2018-01-12': 4.989999771118164, '2018-01-16': 4.909999847412109}, '1_month_later': {'2018-02-02': 4.929999828338623}, '3_months_later': {'2018-04-02': 4.230000019073486}, '6_months_later': {'2018-07-02': 4.730000019073486}, '12_months_later': {'2019-01-02': 4.340000152587891}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUAG
{'date': '2018-01-02', 'ticker': 'NUAG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.36899948120117, 'high': 24.440000534057617, 'open': 24.440000534057617, 'close': 24.413000106811523, 'ema_50': 24.549374957388654, 'rsi_14': 40.24388471010342, 'target': 24.45499992370605, 'volume': 4700.0, 'ema_200': 24.60259490901254, 'adj_close': 22.34157371520996, 'rsi_lag_1': 40.769160795452876, 'rsi_lag_2': 41.732297655306645, 'rsi_lag_3': 36.54477997344917, 'rsi_lag_4': 24.951004822699815, 'rsi_lag_5': 38.76555303337133, 'macd_lag_1': -0.04559286189083167, 'macd_lag_2': -0.04445500228962018, 'macd_lag_3': -0.0469378874061519, 'macd_lag_4': -0.04484239282450986, 'macd_lag_5': -0.03184286939403336, 'macd_12_26_9': -0.0465231726836457, 'macds_12_26_9': -0.03748583180281902}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 24.45499992370605, '2018-01-04': 24.434999465942383, '2018-01-05': 24.429000854492188, '2018-01-08': 24.450000762939453, '2018-01-09': 24.36000061035156, '2018-01-10': 24.34000015258789, '2018-01-11': 24.34499931335449, '2018-01-12': 24.3799991607666, '2018-01-16': 24.420000076293945}, '1_month_later': {'2018-02-02': 24.059999465942383}, '3_months_later': {'2018-04-02': 23.834999084472656}, '6_months_later': {'2018-07-02': 23.465999603271484}, '12_months_later': {'2019-01-02': 23.20800018310547}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NWFL
{'date': '2018-01-02', 'ticker': 'NWFL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.779998779296875, 'high': 33.77000045776367, 'open': 33.16999816894531, 'close': 32.97999954223633, 'ema_50': 31.3714667831761, 'rsi_14': 52.013053832114146, 'target': 32.58000183105469, 'volume': 9300.0, 'ema_200': 28.417232490769905, 'adj_close': 30.672100067138672, 'rsi_lag_1': 55.83501457760633, 'rsi_lag_2': 62.25382868237567, 'rsi_lag_3': 65.9427523905891, 'rsi_lag_4': 66.30860397272639, 'rsi_lag_5': 76.42016810845686, 'macd_lag_1': 0.9244363099895523, 'macd_lag_2': 1.0227873453315013, 'macd_lag_3': 1.0377331725163899, 'macd_lag_4': 1.0865150423334313, 'macd_lag_5': 1.1451926649851387, 'macd_12_26_9': 0.8352502906836321, 'macds_12_26_9': 0.9495102198426231}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.58000183105469, '2018-01-04': 32.11000061035156, '2018-01-05': 31.559999465942383, '2018-01-08': 31.90999984741211, '2018-01-09': 31.709999084472656, '2018-01-10': 31.950000762939453, '2018-01-11': 31.950000762939453, '2018-01-12': 31.950000762939453, '2018-01-16': 31.93000030517578}, '1_month_later': {'2018-02-02': 31.38999938964844}, '3_months_later': {'2018-04-02': 30.06999969482422}, '6_months_later': {'2018-07-02': 35.560001373291016}, '12_months_later': {'2019-01-02': 33.0}}
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.
NURE
{'date': '2018-01-02', 'ticker': 'NURE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.01099967956543, 'high': 26.01099967956543, 'open': 26.01099967956543, 'close': 26.01099967956543, 'ema_50': 26.461588548230136, 'rsi_14': 29.870123097541963, 'target': 26.01099967956543, 'volume': 100.0, 'ema_200': 25.90986679740437, 'adj_close': 24.15923500061035, 'rsi_lag_1': 34.3570118480029, 'rsi_lag_2': 31.44028096506362, 'rsi_lag_3': 29.137275113219573, 'rsi_lag_4': 40.931116477200526, 'rsi_lag_5': 39.49825957677889, 'macd_lag_1': -0.1253645547492681, 'macd_lag_2': -0.09547819039581995, 'macd_lag_3': -0.05594354803348267, 'macd_lag_4': -0.004669243810521806, 'macd_lag_5': 0.027345099872654544, 'macd_12_26_9': -0.14735114158174767, 'macds_12_26_9': -0.043315249791989086}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.01099967956543, '2018-01-04': 25.934999465942383, '2018-01-08': 26.0, '2018-01-12': 25.36000061035156, '2018-01-16': 25.459999084472656}, '6_months_later': {'2018-07-02': 27.14999961853028}, '12_months_later': {'2019-01-02': 24.3700008392334}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
nusc
{'date': '2018-01-02', 'ticker': 'nusc', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.61199951171875, 'high': 28.65999984741211, 'open': 28.64299964904785, 'close': 28.6299991607666, 'ema_50': 28.118605429527406, 'rsi_14': 56.226911419912064, 'target': 28.739999771118164, 'volume': 1800.0, 'ema_200': 26.91735972628859, 'adj_close': 24.695331573486328, 'rsi_lag_1': 50.241785161225465, 'rsi_lag_2': 56.799594516439655, 'rsi_lag_3': 60.361571829119214, 'rsi_lag_4': 52.674755828173346, 'rsi_lag_5': 56.02161132875931, 'macd_lag_1': 0.1548579885654071, 'macd_lag_2': 0.17628588485811036, 'macd_lag_3': 0.18783523597753415, 'macd_lag_4': 0.20391688517030104, 'macd_lag_5': 0.22351326387344272, 'macd_12_26_9': 0.15066383387710758, 'macds_12_26_9': 0.17822591481830075}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 28.739999771118164, '2018-01-04': 28.76000022888184, '2018-01-05': 28.88999938964844, '2018-01-08': 28.989999771118164, '2018-01-09': 29.0049991607666, '2018-01-10': 28.88800048828125, '2018-01-11': 29.315000534057617, '2018-01-12': 29.440000534057617, '2018-01-16': 29.229999542236328}, '1_month_later': {'2018-02-02': 28.86000061035156}, '3_months_later': {'2018-04-02': 27.68000030517578}, '6_months_later': {'2018-07-02': 30.625}, '12_months_later': {'2019-01-02': 24.84000015258789}}
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.
NWBI
{'date': '2018-01-02', 'ticker': 'NWBI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.530000686645508, 'high': 16.899999618530273, 'open': 16.75, 'close': 16.65999984741211, 'ema_50': 16.665788609371667, 'rsi_14': 54.49100633765094, 'target': 16.40999984741211, 'volume': 466700.0, 'ema_200': 16.411078817388074, 'adj_close': 16.65999984741211, 'rsi_lag_1': 51.99999128069196, 'rsi_lag_2': 54.166647744560656, 'rsi_lag_3': 48.447229251371866, 'rsi_lag_4': 48.14816559074207, 'rsi_lag_5': 42.857142857142854, 'macd_lag_1': 0.06889369545443103, 'macd_lag_2': 0.0813070382270702, 'macd_lag_3': 0.07967743616433509, 'macd_lag_4': 0.08967480501083358, 'macd_lag_5': 0.09400348061082653, 'macd_12_26_9': 0.05279900742203836, 'macds_12_26_9': 0.06768445285647627}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.40999984741211, '2018-01-04': 16.450000762939453, '2018-01-05': 16.510000228881836, '2018-01-08': 16.559999465942383, '2018-01-09': 16.559999465942383, '2018-01-10': 16.709999084472656, '2018-01-11': 16.920000076293945, '2018-01-12': 16.969999313354492, '2018-01-16': 16.780000686645508}, '1_month_later': {'2018-02-02': 16.899999618530273}, '3_months_later': {'2018-04-02': 16.209999084472656}, '6_months_later': {'2018-07-02': 17.530000686645508}, '12_months_later': {'2019-01-02': 17.09000015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVUS
{'date': '2018-01-02', 'ticker': 'NVUS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.8199999332427983, 'high': 4.1579999923706055, 'open': 3.9800000190734863, 'close': 3.9800000190734863, 'ema_50': 4.1269058362806055, 'rsi_14': 36.087697001836986, 'target': 4.057000160217285, 'volume': 6800.0, 'ema_200': 6.783310956632703, 'adj_close': 3.9800000190734863, 'rsi_lag_1': 43.640905712728525, 'rsi_lag_2': 25.608670947591634, 'rsi_lag_3': 29.349756962056063, 'rsi_lag_4': 30.569966001710085, 'rsi_lag_5': 40.06360349023203, 'macd_lag_1': -0.06592525566645069, 'macd_lag_2': -0.07966965673012405, 'macd_lag_3': -0.07151550367128445, 'macd_lag_4': -0.06220578621014017, 'macd_lag_5': -0.047382028247796804, 'macd_12_26_9': -0.06078732560546385, 'macds_12_26_9': -0.0483992417389295}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.057000160217285, '2018-01-04': 4.170000076293944, '2018-01-05': 4.340000152587892, '2018-01-08': 4.2199997901916495, '2018-01-09': 3.880000114440918, '2018-01-10': 4.0399999618530265, '2018-01-11': 3.954999923706055, '2018-01-12': 3.7170000076293945, '2018-01-16': 3.809999942779541}, '1_month_later': {'2018-02-02': 3.7200000286102295}, '3_months_later': {'2018-04-02': 4.739999771118164}, '6_months_later': {'2018-07-02': 6.989999771118164}, '12_months_later': {'2019-01-02': 1.6599999666213991}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVTA
{'date': '2018-01-02', 'ticker': 'NVTA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/my-3-top-growth-stocks-2018-2018-01-02', 'news_author': None, 'news_article': 'Welcome to the fifth year of my New Year\'s prognostications. Now that we\'re officially into 2018, it\'s time again for me to reveal three growth stocks that I expect to outperform the market in the coming years.\nAs is often the case for growth-style investing , my previous lists have had some big winners and some big losers. Because of the adoption of e-commerce among Latin America\'s middle class, MercadoLibre (NASDAQ: MELI) has nearly tripled since the beginning of 2014. But lackluster demand for 3D printing and related services has caused Stratasys \' (NASDAQ: SSYS) stock to fall by 76%.\nOverall, 2014\'s picks have gained an average absolute return of 69%, 2015\'s have returned 58%, 2016\'s have returned 71%, and last years have returned 60%. All four annual sets of picks are significantly outperforming the S&P over the same time frame.\nData sources: Yahoo! Finance and S&P Dow Jones Indices. Starting prices are as of the original publishing dates: 12/30/13, 1/1/15, 1/5/16, and 1/5/17. All total return figures include dividends. Zillow split into two classes during 2015; we are tracking "ZG." SolarCity was acquired by Tesla Motors in November 2016 in an all-stock deal; the recent price reflects the equivalent of 0.11 shares of TSLA at $311.35. Prices and returns are as of end-of-year 2017. Figures have been rounded.\nThe volatility of this roller coaster of ups and downs might keep some investors up at night. But over time, the math behind it tends to work out in our favor.\nHistorically, only about 40% of the individual recommendations from our Motley FoolRule Breakers service outperform the S&P 500 over the same time frame. But when taken collectively, the portfolio of picks has an average absolute return of 135%, which is double the 67% the market return over the same period.\nGrowth-style investing works best when you allow your biggest winners to run. They compound their returns over time and overcompensate for the losses from the laggards. But it also requires identifying the right companies at the right time and having a lot of patience.\nThe process\nTo help identify those big future winners, here are three qualities I always look for in growth companies:\n1. Operational performance. When you invest, you\'re buying a stake in a business, so you want to find businesses that are performing very well. Develop a list of meaningful operational metrics that are relevant to the particular industry, and then look for companies that are killing it where it really counts. That means putting less emphasis on the current P/E ratio, and more on metrics that evaluate business performance.\n2. Smart and visionary management. Growth companies are still growing. That makes them much more sensitive to managerial decisions -- whether good or bad. Look for leaders who are committed to the long-term success of the company. I like CEOs who are either co-founders or who have a significant ownership stake -- preferably both.\n3. Huge market potential. Small companies don\'t always do so well in price wars. Find industries large enough to support a new player. I look for the company\'s total annual revenue to be a very small slice of the overall industry.\nThis year\'s list\nWith all that said, it\'s now time to fire up the crystal ball once again. Without further ado, here are my three top recommendations for 2018.\n1. Invitae (NYSE: NVTA) is bringing genomics into mainstream medicine. The company\'s cloud-based platform collects a patient\'s DNA and can screen more than 1,000 problematic genes to detect conditions such as hereditary cancer, neurological conditions, or cardiovascular disorders. Invitae\'s proactive health screens can be predictive of future conditions, which will play a crucial role in America goal of having a more effective and less costly healthcare system built on personalized medicine .\nInvitae has now collected more than 40,000 patient samples, which is 158% greater than the 15,500 it had a year ago. The costs related to genomic sequencing are also falling rapidly, which has prompted several insurers to begin to embrace it. That means Invitae\'s costs are dropping while its addressable market is expanding, which is a great combination to see.\nFounder and CEO Randall Scott previously founded and ran Genomic Health , which he grew from a start-up into a $1 billion public company. He now wants Invitae to provide the necessary infrastructure for genomic diagnostic tests to go mainstream. To achieve that goal, the company has made smart acquisitions to grow methodically into the $3 trillion U.S. healthcare market.\nInvitae\'s genomic platform could offer some great returns for investors.\n2. Baozun (NASDAQ: BZUN) offers companies an opportunity to sell to the world\'s largest (and fast-growing) middle class.\nFondly referred to as the Shopify of China, Baozun handles the behind-the-scenes work for retailers to set up shop for e-commerce sales. That includes managing inventory, handling logistics, setting up online storefronts, and using artificial intelligence to optimize performance. The company is integrated with China\'s largest consumer-facing sites -- Alibaba \'s Tmall and JD.com -- which gives its customers, including Microsoft and Nike , access to more than 700 million internet users who spend $700 billion online each year. Also worth noting: Alibaba owns approximately 17% of Baozun\'s outstanding shares, while Softbank owns another 13%. Both of these massive companies are flush with resources and have a vested interest in seeing them succeed.\nBaozun is shifting from a distribution to a service fee business model, which means it\'s prioritizing profits over top-line growth. It recently reported a 71% increase in gross merchandise volume and a 15% increase in customer count. As the company adjusts its business model, we should watch closely for growth in services revenue to significantly outpace that of its costs of goods sold and its operating expenses. In the most recent quarter, services revenue was up 55%, compared with a 19% increase in operating expenses and a 3% reduction in the cost of goods sold. So far, so good.\nCEO Wenbin Qiu co-founded the company back in 2007, and Baozun\'s directors and executive officers collectively own 50% of the company\'s outstanding shares.\nE-commerce is coming alive in China\'s middle class. Baozun is a sleeping dragon ready to awaken.\n3. iRobot (NASDAQ: IRBT) sells autonomous robots to make our lives easier. You\'ve probably seen the company\'s Roomba vacuum cleaner on display at your local Lowe\'s or Home Depot , but iRobot also sells consumer bots that mop floors and clean pools. With technological improvements -- such as advanced sensors, wireless connectivity, and neural networks -- alongside falling costs, the company\'s robots are now ready for the mass market. That should provide serious profits.\nThe Boston Consulting Group recently raised its market forecast for consumer robots in 2025 from $9 billion to $23 billion, citing applications such as self-driving cars and applications around the home. iRobot founder and CEO Colin Angle is seizing the opportunity, by expanding its core technology into new product lines and bringing international sales in-house to improve margins. The company sold 3 million consumer units last year, which was up 20%. That\'s already a great growth rate, but we\'ll watch for it to accelerate even more in the coming years.\nWith the rise of autonomous robots, iRobot is ready to sweep in big returns for investors.\nThe Foolish bottom line\nGreat businesses produce great results. Invitae, Baozun, and iRobot all have visionary management teams that are capitalizing on several of the world\'s largest business opportunities. Each of these companies is still small, which could result in significant short-term stock price volatility. But they\'re also beginning to form strong competitive advantages, which could allow them to capture profits and provide great returns for investors.\n10 stocks we like better than Baozun\nWhen investing geniuses David and Tom Gardner have a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor , has tripled the market.*\nDavid and Tom just revealed what they believe are the 10 best stocks for investors to buy right now… and Baozun wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of January 2, 2018\nSimon Erickson owns shares of Baozun, Invitae, iRobot, JD.com, MercadoLibre, and Shopify. The Motley Fool owns shares of and recommends iRobot, JD.com, MercadoLibre, and Shopify. The Motley Fool recommends Stratasys. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Invitae (NYSE: NVTA) is bringing genomics into mainstream medicine. Invitae's proactive health screens can be predictive of future conditions, which will play a crucial role in America goal of having a more effective and less costly healthcare system built on personalized medicine . The company is integrated with China's largest consumer-facing sites -- Alibaba 's Tmall and JD.com -- which gives its customers, including Microsoft and Nike , access to more than 700 million internet users who spend $700 billion online each year.", 'news_luhn_summary': "Invitae (NYSE: NVTA) is bringing genomics into mainstream medicine. Baozun (NASDAQ: BZUN) offers companies an opportunity to sell to the world's largest (and fast-growing) middle class. *Stock Advisor returns as of January 2, 2018 Simon Erickson owns shares of Baozun, Invitae, iRobot, JD.com, MercadoLibre, and Shopify.", 'news_article_title': 'My 3 Top Growth Stocks for 2018', 'news_lexrank_summary': "Invitae (NYSE: NVTA) is bringing genomics into mainstream medicine. Invitae's genomic platform could offer some great returns for investors. With the rise of autonomous robots, iRobot is ready to sweep in big returns for investors.", 'news_textrank_summary': "Invitae (NYSE: NVTA) is bringing genomics into mainstream medicine. Overall, 2014's picks have gained an average absolute return of 69%, 2015's have returned 58%, 2016's have returned 71%, and last years have returned 60%. As the company adjusts its business model, we should watch closely for growth in services revenue to significantly outpace that of its costs of goods sold and its operating expenses."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.0, 'high': 9.399999618530272, 'open': 9.170000076293944, 'close': 9.34000015258789, 'ema_50': 8.893606252310441, 'rsi_14': 65.50524338483513, 'target': 9.529999732971191, 'volume': 327400.0, 'ema_200': 9.166463612183684, 'adj_close': 9.34000015258789, 'rsi_lag_1': 57.857140181014344, 'rsi_lag_2': 68.06723328854801, 'rsi_lag_3': 71.14624923102909, 'rsi_lag_4': 67.5555621488623, 'rsi_lag_5': 62.61681951449078, 'macd_lag_1': 0.18228913531815394, 'macd_lag_2': 0.19346501420108808, 'macd_lag_3': 0.15807909552105315, 'macd_lag_4': 0.10755994511388955, 'macd_lag_5': 0.07104189914485026, 'macd_12_26_9': 0.19219649478998235, 'macds_12_26_9': 0.10944770812377082}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.529999732971191, '2018-01-04': 9.81999969482422, '2018-01-05': 10.050000190734863, '2018-01-08': 8.630000114440918, '2018-01-09': 9.18000030517578, '2018-01-10': 9.300000190734863, '2018-01-11': 8.90999984741211, '2018-01-12': 7.579999923706055, '2018-01-16': 7.260000228881836}, '1_month_later': {'2018-02-02': 6.519999980926514}, '3_months_later': {'2018-04-02': 4.869999885559082}, '6_months_later': {'2018-07-02': 7.539999961853027}, '12_months_later': {'2019-01-02': 11.3100004196167}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVS
{'date': '2018-01-02', 'ticker': 'NVS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/vxus-susb-big-etf-inflows-2018-01-02', 'news_author': None, 'news_article': 'Comparing units outstanding versus one week ago at the coverage universe of ETFs at ETF Channel, the biggest inflow was seen in the Vanguard Total International Stock ETF ( VXUS ), which added 5,719,049 units, or a 3.1% increase week over week. Among the largest underlying components of VXUS, in morning trading today Nestle ( NSRGY ) is off about 0.3%, and Novartis ( NVS ) is up by about 0.6%.\nAnd on a percentage change basis, the ETF with the biggest increase in inflows was the iShares ESG 1-5 Year USD Corporate Bond ETF ( SUSB ), which added 150,000 units, for a 37.5% increase in outstanding units.\nVIDEO: VXUS, SUSB: Big ETF Inflows\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Among the largest underlying components of VXUS, in morning trading today Nestle ( NSRGY ) is off about 0.3%, and Novartis ( NVS ) is up by about 0.6%. Comparing units outstanding versus one week ago at the coverage universe of ETFs at ETF Channel, the biggest inflow was seen in the Vanguard Total International Stock ETF ( VXUS ), which added 5,719,049 units, or a 3.1% increase week over week. And on a percentage change basis, the ETF with the biggest increase in inflows was the iShares ESG 1-5 Year USD Corporate Bond ETF ( SUSB ), which added 150,000 units, for a 37.5% increase in outstanding units.', 'news_luhn_summary': 'Among the largest underlying components of VXUS, in morning trading today Nestle ( NSRGY ) is off about 0.3%, and Novartis ( NVS ) is up by about 0.6%. Comparing units outstanding versus one week ago at the coverage universe of ETFs at ETF Channel, the biggest inflow was seen in the Vanguard Total International Stock ETF ( VXUS ), which added 5,719,049 units, or a 3.1% increase week over week. And on a percentage change basis, the ETF with the biggest increase in inflows was the iShares ESG 1-5 Year USD Corporate Bond ETF ( SUSB ), which added 150,000 units, for a 37.5% increase in outstanding units.', 'news_article_title': 'VXUS, SUSB: Big ETF Inflows', 'news_lexrank_summary': 'Among the largest underlying components of VXUS, in morning trading today Nestle ( NSRGY ) is off about 0.3%, and Novartis ( NVS ) is up by about 0.6%. Comparing units outstanding versus one week ago at the coverage universe of ETFs at ETF Channel, the biggest inflow was seen in the Vanguard Total International Stock ETF ( VXUS ), which added 5,719,049 units, or a 3.1% increase week over week. And on a percentage change basis, the ETF with the biggest increase in inflows was the iShares ESG 1-5 Year USD Corporate Bond ETF ( SUSB ), which added 150,000 units, for a 37.5% increase in outstanding units.', 'news_textrank_summary': 'Among the largest underlying components of VXUS, in morning trading today Nestle ( NSRGY ) is off about 0.3%, and Novartis ( NVS ) is up by about 0.6%. Comparing units outstanding versus one week ago at the coverage universe of ETFs at ETF Channel, the biggest inflow was seen in the Vanguard Total International Stock ETF ( VXUS ), which added 5,719,049 units, or a 3.1% increase week over week. And on a percentage change basis, the ETF with the biggest increase in inflows was the iShares ESG 1-5 Year USD Corporate Bond ETF ( SUSB ), which added 150,000 units, for a 37.5% increase in outstanding units.'}, {'news_url': 'https://www.nasdaq.com/articles/3-biotech-and-pharma-stocks-fda-catalysts-january-2018-01-02', 'news_author': None, 'news_article': '2017 turned out to be a pretty good year for pharma and biotech stocks where FDA decisions are concerned. The regulatory body approved 46 novel drugs last year, easily surpassing 2016\'s total tally of 22.\nLandmark decisions last year include the approval of a couple of gene-based therapies for cancer - Novartis\'s NVS Kymriah and Gilead Sciences\'s GILD Yescarta. These therapies have the potential to change the way we look at cancer treatments.\nOther key approvals included Lilly\'s Verzenio (advanced or metastatic breast cancer), Gilead\'s Vosevi (hepatitis C virus), Puma\'s Nerlynx (to reduce the risk of breast cancer returning), J&J\'s Tremfya (moderate-to-severe plaque psoriasis), Regeneron/Sanofi\'s Kevzara (rheumatoid arthritis), Roche\'s RHHBY multiple sclerosis treatment, Ocrevus, Regeneron and Sanofi\'s SNY eczema treatment, Dupixent, Tesaro\'s PARP inhibitor, Zejula, and BioMarin\'s Brineura (treatment of a specific form of Batten disease) among others. Many of these drugs have blockbuster potential.\nWith the drug development process being lengthy and time-consuming and requiring the utilization of a lot of funds and resources, key pipeline events including data readouts and regulatory updates are of paramount importance and could act as major catalysts. Here is a look at a few important regulatory events scheduled for the month of January.\nLabel Expansion for Synergy\'s Trulance? Biopharma company, Synergy Pharmaceuticals Inc. SGYP , will get to know about the approval status of Trulance for use in adult patients with irritable bowel syndrome with constipation (IBS-C) this month. The regulatory body is expected to deliver a decision regarding Trulance\'s label expansion into this indication on Jan 24, 2018. Trulance, the company\'s first and only commercial product, was approved last year in January for the treatment of adults with chronic idiopathic constipation ("CIC"). According to information provided by the company, about 33 million adults suffer from CIC while 12 million adults suffer from IBS-C in the United States alone. Synergy\'s shares have declined 63.4% over the last one year.\nAdvisory Panel & January PDUFA Date for Aradigm\'s Linhaliq: Emerging specialty pharmaceutical company, Aradigm Corporation\'s ARDM regulatory application for Linhaliq will be reviewed by an FDA advisory panel (the Antimicrobial Drugs Advisory Committee) on Jan 11, 2018, a few days ahead of the PDUFA (Prescription Drug User Fee Act) goal date of Jan 26, 2018. Aradigm is looking to get Linhaliq approved for the treatment of non-cystic fibrosis bronchiectasis ("NCFBE") patients with chronic lung infections with Pseudomonas aeruginosa . According to information provided by Aradigm, there is unmet medical need for NCFBE with more than 150,000 people in the United States and over 200,000 people in Europe being affected by the severe, chronic and rare disease. The company expects that sales for the NCFBE indication could cross $500 million by 2021. Aradigm\'s shares are up 318.7% over the last one year.\nFDA to Decide on Pediatric Label Expansion for Sucampo\'s Amitiza: Biopharma company, Sucampo Pharmaceuticals, Inc. SCMP , is awaiting a decision from the FDA for the label expansion of its key marketed drug, Amitiza. The company is looking to get Amitiza approved for use in children aged 6 to 17 years with pediatric functional constipation. With the FDA granting Priority Review designation, a response is expected on Jan 28, 2018. Timely approval would make Amitiza the first branded product available for certain pediatric patients that suffer from pediatric functional constipation. We remind investors that Sucampo recently agreed to be acquired by Mallinckrodt in a deal valued at approximately $1.2 billion. The acquisition is expected to close in the first quarter of 2018 (Read more: Mallinckrodt to Buy Sucampo for $1.2B to Diversify Portfolio ).Sucampo\'s shares are up 32.5% over the last one year.\nSucampo is a Zacks Rank #2 (Buy) stock - you can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here .\nZacks Editor-in-Chief Goes "All In" on This Stock\nFull disclosure, Kevin Matras now has more of his own money in one particular stock than in any other. He believes in its short-term profit potential and also in its prospects to more than double by 2019. Today he reveals and explains his surprising move in a new Special Report.\nDownload it free >>\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nRoche Holding AG (RHHBY): Free Stock Analysis Report\nSanofi (SNY): Free Stock Analysis Report\nNovartis AG (NVS): Free Stock Analysis Report\nGilead Sciences, Inc. (GILD): Free Stock Analysis Report\nSucampo Pharmaceuticals, Inc. (SCMP): Free Stock Analysis Report\nSynergy Pharmaceuticals, Inc. (SGYP): Free Stock Analysis Report\nAradigm Corporation (ARDM): 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': "Landmark decisions last year include the approval of a couple of gene-based therapies for cancer - Novartis's NVS Kymriah and Gilead Sciences's GILD Yescarta. Click to get this free report Roche Holding AG (RHHBY): Free Stock Analysis Report Sanofi (SNY): Free Stock Analysis Report Novartis AG (NVS): Free Stock Analysis Report Gilead Sciences, Inc. (GILD): Free Stock Analysis Report Sucampo Pharmaceuticals, Inc. (SCMP): Free Stock Analysis Report Synergy Pharmaceuticals, Inc. (SGYP): Free Stock Analysis Report Aradigm Corporation (ARDM): Free Stock Analysis Report To read this article on Zacks.com click here. With the drug development process being lengthy and time-consuming and requiring the utilization of a lot of funds and resources, key pipeline events including data readouts and regulatory updates are of paramount importance and could act as major catalysts.", 'news_luhn_summary': "Click to get this free report Roche Holding AG (RHHBY): Free Stock Analysis Report Sanofi (SNY): Free Stock Analysis Report Novartis AG (NVS): Free Stock Analysis Report Gilead Sciences, Inc. (GILD): Free Stock Analysis Report Sucampo Pharmaceuticals, Inc. (SCMP): Free Stock Analysis Report Synergy Pharmaceuticals, Inc. (SGYP): Free Stock Analysis Report Aradigm Corporation (ARDM): Free Stock Analysis Report To read this article on Zacks.com click here. Landmark decisions last year include the approval of a couple of gene-based therapies for cancer - Novartis's NVS Kymriah and Gilead Sciences's GILD Yescarta. Advisory Panel & January PDUFA Date for Aradigm's Linhaliq: Emerging specialty pharmaceutical company, Aradigm Corporation's ARDM regulatory application for Linhaliq will be reviewed by an FDA advisory panel (the Antimicrobial Drugs Advisory Committee) on Jan 11, 2018, a few days ahead of the PDUFA (Prescription Drug User Fee Act) goal date of Jan 26, 2018.", 'news_article_title': '3 Biotech and Pharma Stocks with FDA Catalysts this January', 'news_lexrank_summary': "Landmark decisions last year include the approval of a couple of gene-based therapies for cancer - Novartis's NVS Kymriah and Gilead Sciences's GILD Yescarta. Click to get this free report Roche Holding AG (RHHBY): Free Stock Analysis Report Sanofi (SNY): Free Stock Analysis Report Novartis AG (NVS): Free Stock Analysis Report Gilead Sciences, Inc. (GILD): Free Stock Analysis Report Sucampo Pharmaceuticals, Inc. (SCMP): Free Stock Analysis Report Synergy Pharmaceuticals, Inc. (SGYP): Free Stock Analysis Report Aradigm Corporation (ARDM): Free Stock Analysis Report To read this article on Zacks.com click here. These therapies have the potential to change the way we look at cancer treatments.", 'news_textrank_summary': "Click to get this free report Roche Holding AG (RHHBY): Free Stock Analysis Report Sanofi (SNY): Free Stock Analysis Report Novartis AG (NVS): Free Stock Analysis Report Gilead Sciences, Inc. (GILD): Free Stock Analysis Report Sucampo Pharmaceuticals, Inc. (SCMP): Free Stock Analysis Report Synergy Pharmaceuticals, Inc. (SGYP): Free Stock Analysis Report Aradigm Corporation (ARDM): Free Stock Analysis Report To read this article on Zacks.com click here. Landmark decisions last year include the approval of a couple of gene-based therapies for cancer - Novartis's NVS Kymriah and Gilead Sciences's GILD Yescarta. Advisory Panel & January PDUFA Date for Aradigm's Linhaliq: Emerging specialty pharmaceutical company, Aradigm Corporation's ARDM regulatory application for Linhaliq will be reviewed by an FDA advisory panel (the Antimicrobial Drugs Advisory Committee) on Jan 11, 2018, a few days ahead of the PDUFA (Prescription Drug User Fee Act) goal date of Jan 26, 2018."}, {'news_url': 'https://www.nasdaq.com/articles/why-2017-was-year-remember-juno-therapeutics-2018-01-02', 'news_author': None, 'news_article': "After a rough 2016 in which Juno Therapeutics ' (NASDAQ: JUNO) lead therapy, JCAR015, was put on hold -- twice -- 2017 was rather kind to the biotech, with shares ending the year up over 140%.\nJUNO data by YCharts\nIn March, Juno announced that it was discontinuing work on JCAR015, but with the writing already on the wall, investors were able to shake it off and focus on data from Juno's earlier-stage programs.\nAnd what good data it was\nJCAR017, the new star of Juno's pipeline, uses the same basic principle as JCAR015; both are chimeric antigen receptor T-cell (CAR-T) therapies that train T-cells to target cancerous cells expressing a protein called CD19, but JCAR017 uses a fixed ratio of CD4+ and CD8+ T-lymphocytes as well as a few other changes to avoid the side effects that led to JCAR015's demise.\nSo far, the strategy seems to be working, with JCAR017 posting a three-month overall response rate of 74% in 19 B-cell non-Hodgkin lymphoma patients treated at dose level 2. The treatment led to a 68% complete response rate at three months. And for the 14 patients who have reached six months of follow-up, the complete response rate is still an impressive 50%.\nImportantly, only one out of 67 total patients experienced severe cytokine release syndrome, an issue seen with some CAR-Ts as the immune system overreacts. And severe neurotoxicity, which is also common for CAR-T therapies, was only seen in 15% of patients.\nA buyout candidate?\nThe late-August buyout of fellow CAR-T specialist Kite Pharmaceuticals by Gilead Sciences (NASDAQ: GILD) helped boost Juno's share price, as it has for other drugmakers working on CAR-T therapeutics.\nWhether Gilead's decision makes Juno more likely to be purchased is debatable, given Juno's large 2015 partnership with Celgene (NASDAQ: CELG) . What company would want to buy Juno, only to have to split profits on its acquired therapies with Celgene?\nOf course, Celgene, which already has a large stake in Juno, could end up buying the company, but it seems naive to say that Gilead owning Kite makes that more likely to occur.\nShares could have gone up simply because Kite's buyout serves as an endorsement by Gilead of CAR-T's potential, but that's a marginal increase, at best, considering Celgene arguably has much more experience in the blood cancer market than Gilead does and has already given Juno its own endorsement.\nLate to the party\nShares of Juno are about 25% off the high set ahead of the American Society of Hematology (ASH) meeting as investors digested the ASH data and started to worry about how far JCAR017 is behind fellow CAR-T therapies, Novartis ' (NYSE: NVS) Kymriah and Gilead's Yescarta , which are both already on the market.\nBut long-term investors don't have to worry about the delay. Initially, Juno might have problems pushing into the market as doctors will tend to use what's worked for their previous patients, but as doctors gain experience with new drugs, the best, safest drug always comes out on top in the end.\nNow Juno just needs to prove that in 2018.\n10 stocks we like better than Juno Therapeutics\nWhen investing geniuses David and Tom Gardner have a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor , has tripled the market.*\nDavid and Tom just revealed what they believe are the 10 best stocks for investors to buy right now... and Juno Therapeutics wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of January 2, 2018\nBrian Orelli has no position in any of the stocks mentioned. The Motley Fool owns shares of and recommends Celgene and Gilead Sciences. The Motley Fool recommends Juno Therapeutics. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Late to the party Shares of Juno are about 25% off the high set ahead of the American Society of Hematology (ASH) meeting as investors digested the ASH data and started to worry about how far JCAR017 is behind fellow CAR-T therapies, Novartis ' (NYSE: NVS) Kymriah and Gilead's Yescarta , which are both already on the market. So far, the strategy seems to be working, with JCAR017 posting a three-month overall response rate of 74% in 19 B-cell non-Hodgkin lymphoma patients treated at dose level 2. Importantly, only one out of 67 total patients experienced severe cytokine release syndrome, an issue seen with some CAR-Ts as the immune system overreacts.", 'news_luhn_summary': "Late to the party Shares of Juno are about 25% off the high set ahead of the American Society of Hematology (ASH) meeting as investors digested the ASH data and started to worry about how far JCAR017 is behind fellow CAR-T therapies, Novartis ' (NYSE: NVS) Kymriah and Gilead's Yescarta , which are both already on the market. The late-August buyout of fellow CAR-T specialist Kite Pharmaceuticals by Gilead Sciences (NASDAQ: GILD) helped boost Juno's share price, as it has for other drugmakers working on CAR-T therapeutics. The Motley Fool owns shares of and recommends Celgene and Gilead Sciences.", 'news_article_title': 'Why 2017 Was a Year to Remember for Juno Therapeutics', 'news_lexrank_summary': "Late to the party Shares of Juno are about 25% off the high set ahead of the American Society of Hematology (ASH) meeting as investors digested the ASH data and started to worry about how far JCAR017 is behind fellow CAR-T therapies, Novartis ' (NYSE: NVS) Kymriah and Gilead's Yescarta , which are both already on the market. The late-August buyout of fellow CAR-T specialist Kite Pharmaceuticals by Gilead Sciences (NASDAQ: GILD) helped boost Juno's share price, as it has for other drugmakers working on CAR-T therapeutics. * David and Tom just revealed what they believe are the 10 best stocks for investors to buy right now... and Juno Therapeutics wasn't one of them!", 'news_textrank_summary': "Late to the party Shares of Juno are about 25% off the high set ahead of the American Society of Hematology (ASH) meeting as investors digested the ASH data and started to worry about how far JCAR017 is behind fellow CAR-T therapies, Novartis ' (NYSE: NVS) Kymriah and Gilead's Yescarta , which are both already on the market. JUNO data by YCharts In March, Juno announced that it was discontinuing work on JCAR015, but with the writing already on the wall, investors were able to shake it off and focus on data from Juno's earlier-stage programs. The late-August buyout of fellow CAR-T specialist Kite Pharmaceuticals by Gilead Sciences (NASDAQ: GILD) helped boost Juno's share price, as it has for other drugmakers working on CAR-T therapeutics."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 75.29570007324219, 'high': 75.87813568115234, 'open': 75.36738586425781, 'close': 75.87813568115234, 'ema_50': 75.34134902204465, 'rsi_14': 56.32182501914519, 'target': 76.46953582763672, 'volume': 1178400.0, 'ema_200': 73.82387359321004, 'adj_close': 67.90225219726562, 'rsi_lag_1': 50.0, 'rsi_lag_2': 59.527099919592544, 'rsi_lag_3': 54.66104650463603, 'rsi_lag_4': 44.79314570835494, 'rsi_lag_5': 37.76928613746313, 'macd_lag_1': -0.07910689079632505, 'macd_lag_2': -0.08995151630044518, 'macd_lag_3': -0.1289430016215647, 'macd_lag_4': -0.13942899713086376, 'macd_lag_5': -0.08418343082294655, 'macd_12_26_9': -0.018242773161830428, 'macds_12_26_9': -0.03304973297975793}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 76.46953582763672, '2018-01-04': 76.54122161865234, '2018-01-05': 77.30286407470703, '2018-01-08': 77.25806427001953, '2018-01-09': 77.39247131347656, '2018-01-10': 76.93548583984375, '2018-01-11': 76.7652359008789, '2018-01-12': 77.64337158203125, '2018-01-16': 77.71505737304688}, '1_month_later': {'2018-02-02': 79.20250701904297}, '3_months_later': {'2018-04-02': 71.31720733642578}, '6_months_later': {'2018-07-02': 66.94444274902344}, '12_months_later': {'2019-01-02': 75.32257843017578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVRO
{'date': '2018-01-02', 'ticker': 'NVRO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 68.98000335693361, 'high': 70.83000183105469, 'open': 69.04000091552734, 'close': 69.45999908447266, 'ema_50': 75.19526418961435, 'rsi_14': 61.924106143677605, 'target': 71.16999816894531, 'volume': 468900.0, 'ema_200': 81.20962870046782, 'adj_close': 69.45999908447266, 'rsi_lag_1': 58.87912333599661, 'rsi_lag_2': 59.19890857729176, 'rsi_lag_3': 60.11942761820625, 'rsi_lag_4': 48.38709054751616, 'rsi_lag_5': 45.454549575646176, 'macd_lag_1': -1.8121523083018047, 'macd_lag_2': -1.8555266838142188, 'macd_lag_3': -2.054953256957944, 'macd_lag_4': -2.194076177182069, 'macd_lag_5': -2.1961705458145246, 'macd_12_26_9': -1.7240140996704838, 'macds_12_26_9': -2.2192533391375084}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 71.16999816894531, '2018-01-04': 71.18000030517578, '2018-01-05': 71.08999633789062, '2018-01-08': 81.33000183105469, '2018-01-09': 77.87000274658203, '2018-01-10': 78.63999938964844, '2018-01-11': 78.08999633789062, '2018-01-12': 78.55999755859375, '2018-01-16': 79.75}, '1_month_later': {'2018-02-02': 79.5199966430664}, '3_months_later': {'2018-04-02': 84.47000122070312}, '6_months_later': {'2018-07-02': 73.2300033569336}, '12_months_later': {'2019-01-02': 36.54999923706055}}
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.
NVR
{'date': '2018-01-02', 'ticker': 'NVR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3404.0, 'high': 3535.340087890625, 'open': 3410.0, 'close': 3529.610107421875, 'ema_50': 3320.151815668934, 'rsi_14': 64.83054886751137, 'target': 3562.830078125, 'volume': 52900.0, 'ema_200': 2784.0291617327375, 'adj_close': 3529.610107421875, 'rsi_lag_1': 65.7094430864137, 'rsi_lag_2': 69.40951209799718, 'rsi_lag_3': 64.43632438483219, 'rsi_lag_4': 60.90952103103941, 'rsi_lag_5': 53.18718263139902, 'macd_lag_1': 47.02184203936031, 'macd_lag_2': 45.736696395017134, 'macd_lag_3': 41.64828483071824, 'macd_lag_4': 42.31306248429382, 'macd_lag_5': 41.62973414417593, 'macd_12_26_9': 49.199196774864504, 'macds_12_26_9': 45.330728924201026}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3562.830078125, '2018-01-04': 3520.510009765625, '2018-01-05': 3567.0, '2018-01-08': 3624.800048828125, '2018-01-09': 3625.0, '2018-01-10': 3515.85009765625, '2018-01-11': 3550.889892578125, '2018-01-12': 3558.22998046875, '2018-01-16': 3541.0}, '1_month_later': {'2018-02-02': 3072.909912109375}, '3_months_later': {'2018-04-02': 2922.070068359375}, '6_months_later': {'2018-07-02': 2990.639892578125}, '12_months_later': {'2019-01-02': 2420.820068359375}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVO
{'date': '2018-01-02', 'ticker': 'NVO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/the-zacks-analyst-blog-highlights%3A-johnson-and-johnson-abbvie-roches-astrazeneca-and-novo', 'news_author': None, 'news_article': 'For Immediate Release\nChicago, IL - Jan 02, 2018 - Zacks.com announces the list of stocks featured in the Analyst Blog. Every day the Zacks Equity Research analysts discuss the latest news and events impacting stocks and the financial markets. Stocks recently featured in the blog include Johnson and Johnson, Inc.JNJ , AbbVie Inc.ABBV , Roche\'sRHHBY , AstraZeneca plcAZN and Novo-Nordisk A/SNVO .\nToday, Zacks is promoting its \'\'Buy\'\' stock recommendations. Get #1Stock of the Day pick for free.\nHere are highlights from Friday\'s Analyst Blog:\n4 Large-Cap Pharma Stocks that Outperformed the Market in 2018\nThe pharma/biotech industry was plagued by drug pricing issues last year. However, it bounced back and made a considerable headway this year, courtesy of a slew of FDA approvals. Particularly, large-cap players in the industry raked in stellar returns, up 16.5%, not to forget that the same space posted a decline of 5.2% in the year earlier.\nUpbeat quarterly results, rise in demand on new product sales, successful innovation and product line expansion, strong clinical study results as well as a continued strong performance of legacy products propelled the large-cap drug sector to new highs this year. Moreover, these encouraging factors are expected to drive the sector\'s growth in 2018.\nMeanwhile, jubilant Republicans passed the tax overhaul bill for the first time in 30 years. The bill slashes corporate tax rates from 35% to 21%. Such tax reduction is likely to further boost profit margins of these companies in the large-cap pharma sector with more cash left in hand. This, in turn can also be used for striking strategic deals. It is to be remembered that mergers/acquisition activities lagged in the previous year.\nNotably, the Large Cap Pharma sub-industry carries a Zacks Industry Rank of #104, placing it among the top 39% of the 265 plus Zacks industries. Our backtesting shows that the top 50% of the Zacks ranked industries outperforms the bottom half by a factor of more than two to one.\nBanking on such positive trends, investing in sound large-cap pharma stocks seems judicious. To top it, such stocks are fundamentally lucrative and ensure a steady stream of cash inflows. We have hence selected four such companies that have outperformed the broader S&P 500 index this year and are also poised to continue their winning streak heading into the New Year.\nJohnson and Johnson, Inc.\nThe New Jersey-based biotech giant Johnson and Johnson has outperformed the S&P 500 this year. Shares of the company have rallied 22% while the broader market has increased 20.2%. The stock\'s earnings are further expected to grow 7.8% in 2018.\nThe company\'s track record of product launches has been impressive this year. It is making a fast progress toward achieving its goal of more than 10 approvals for new blockbuster products by 2021. Moreover, the company is targeting more than 50 line extensions of both its existing as well as new drugs. In October, J&J received an FDA approval for two line extensions of Simponi Aria for psoriatic arthritis and ankylosing spondylitis.\nAdditionally, contribution from recent acquisitions, mainly Actelion, generated positive sentiments among investors.\nContinuous developments have led to a consistent rise in shares. The company carries a Zacks Rank #3 (Hold).\nAbbVie Inc.\nThis Illinois-based biopharmaceutical company also outperformed the S&P 500 so far this year. Shares of the company have surged 56.1% during the period. This rally price movement was supported by a series of positive news in the past few months.\nAbbVie presented promising data from several pivotal studies, gained key regulatory approvals and settled its Humira patent disputes with Amgen. The stock\'s earnings are further estimated to increase 18.2% in the next year.\nAbbVie\'s eight-week, pan-genotypic, ribavirin-free, once-daily HCV treatment, Mavyret/Maviret, secured approval in the United States, EU and Canada in the third quarter of 2017. Additionally, in August, AbbVie clinched a nod from the regulatory agency for Imbruvica to address its sixth indication among others.\nMeanwhile, the company announced positive data from the phase III MURANO study of Venclexta plus Roche\'s Rituxan in relapse/refractory CLL in September. Later in October too, AbbVie announced that three pivotal head-to-head phase III studies, evaluating risankizumab versus Johnson & Johnson\'s Stelara and Humira, for treatment of moderate-to-severe chronic plaque psoriasis, met all co-primary and secondary endpoints.\nSeveral pivotal data readouts and regulatory milestones are expected in 2018. Besides, all the above-mentioned factors bode well for the stock. The company is a Zacks #3 Ranked player.\nAstraZeneca plc\nThe UK-based biopharmaceutical giant outperformed the S&P 500 this year. The company\'s shares increased 24.8% during the period. It has announced quite a few progressions on the regulatory and pipeline front this year, driving a steady appreciation in share price.\nAstraZeneca also has a promising late-stage pipeline including immuno-oncology candidates. Imfinzi, approved for bladder cancer and currently being evaluated for multiple cancers, is a key drug in the pipeline. The company has about 11 new molecular entities in a phase III trial or under a regulatory review apart from several lifecycle management programs.\nLast month, Fasenra/benralizumab has been approved in the United States for treatment of asthma. It is under review in the EU for chronic obstructive pulmonary disease (COPD). This month, FDA has accepted its application for the label expansion of its marketed drug, Tagrisso (osimertinib), for the first-line treatment of adult patients with metastatic NSCLC. Additionally, the regulatory filing for Tagrisso\'s label expansion is accepted in the EU in November for a similar indication.\nIn December, AstraZeneca also announced positive top-line data from a phase IV study, evaluating its marketed drug, Tudorza Pressair, for an expanded indication (COPD with cardiovascular risk factors).\nThe company carries a Zacks Rank of 3.\nNovo-Nordisk A/S\nNovo-Nordisk has been in news for the past few months based on the encouraging progress of its diabetes pipeline. Constant improvements and corresponding approvals have led to a regular surge in shares. The company is a #3 Ranked player. Shares of the company have soared 49.9% so far this year, outpacing the S&P 500 index. The stock\'s earnings are further projected to rise 5.3% in 2018.\nIn October, the Endocrinologic and Metabolic Drugs Advisory Committee of the FDA voted in the 16-0 ratio in favor of the approval of semaglutide to improve glycaemic control in adults with type II diabetes. Meanwhile, late last year, the company also filed for semaglutide in the EU for the given indication. Moreover, in September, the FDA approved Fiasp (fast-acting insulin aspart) for treating adults with diabetes.\nIn August, the FDA approved a label expansion for the company\'s diabetes drug, Victoza. The drug is now approved to reduce the risk of major adverse cardiovascular events in adults with type II diabetes. In the same month, the label expansion for the lessened risk of severe hypoglycaemia with Tresiba was endorsed by Committee for Medicinal Products for Human Use in the EU. Tresiba\'s label update should boost the company\'s sales.\nConclusion\nA series of data readouts plus upsides on both regulatory and pipeline fronts for the above stocks this year are likely to help continue the bullish run next year and surpass the broader market as well.\nMore Stock News: This Is Bigger than the iPhone!\nIt could become the mother of all technological revolutions. Apple sold a mere 1 billion iPhones in 10 years but a new breakthrough is expected to generate more than 27 billion devices in just 3 years, creating a $1.7 trillion market.\nZacks has just released a Special Report that spotlights this fast-emerging phenomenon and 6 tickers for taking advantage of it. If you don\'t buy now, you may kick yourself in 2020.\nClick here for the 6 trades >>\nToday, Zacks is promoting its \'\'Buy\'\' stock recommendations. Get #1 Stock of the Day pick for free .\nAbout Zacks Equity Research\nZacks Equity Research provides the best of quantitative and qualitative analysis to help investors know what stocks to buy and which to sell for the long-term.\nContinuous coverage is provided for a universe of 1,150 publicly traded stocks. Our analysts are organized by industry which gives them keen insights to developments that affect company profits and stock performance. Recommendations and target prices are six-month time horizons.\nStrong Stocks that Should Be in the News\nMany are little publicized and fly under the Wall Street radar. They\'re virtually unknown to the general public. Yet today\'s 220 Zacks Rank #1 "Strong Buys" were generated by the stock-picking system that has nearly tripled the market from 1988 through 2015. Its average gain has been a stellar +26% per year. See these high-potential stocks free >>.\nFollow us on Twitter: https://twitter.com/zacksresearch\nJoin us on Facebook: https://www.facebook.com/home.php#/pages/Zacks-Investment-Research/57553657748?ref=ts\nZacks Investment Research is under common control with affiliated entities (including a broker-dealer and an investment adviser), which may engage in transactions involving the foregoing securities for the clients of such affiliates.\nMedia Contact\nZacks Investment Research\n800-767-3771 ext. 9339\nsupport@zacks.com\nhttps://www.zacks.com/\nPast performance is no guarantee of future results. Inherent in any investment is the potential for loss. This material is being provided for informational purposes only and nothing herein constitutes investment, legal, accounting or tax advice, or a recommendation to buy, sell or hold a security. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. It should not be assumed that any investments in securities, companies, sectors or markets identified and described were or will be profitable. All information is current as of the date of herein and is subject to change without notice. Any views or opinions expressed may not reflect those of the firm as a whole. Zacks Investment Research does not engage in investment banking, market making or asset management activities of any securities. These returns are from hypothetical portfolios consisting of stocks with Zacks Rank = 1 that were rebalanced monthly with zero transaction costs. These are not the returns of actual portfolios of stocks. The S&P 500 is an unmanaged index. Visit https://www.zacks.com/performance for information about the performance numbers displayed in this press release.\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\nRoche Holding AG (RHHBY): Free Stock Analysis Report\nAstrazeneca PLC (AZN): Free Stock Analysis Report\nNovo Nordisk A/S (NVO): Free Stock Analysis Report\nJohnson & Johnson (JNJ): Free Stock Analysis Report\nAbbVie Inc. (ABBV): 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': "Stocks recently featured in the blog include Johnson and Johnson, Inc.JNJ , AbbVie Inc.ABBV , Roche'sRHHBY , AstraZeneca plcAZN and Novo-Nordisk A/SNVO . Follow us on Twitter: https://twitter.com/zacksresearch Join us on Facebook: https://www.facebook.com/home.php#/pages/Zacks-Investment-Research/57553657748?ref=ts Zacks Investment Research is under common control with affiliated entities (including a broker-dealer and an investment adviser), which may engage in transactions involving the foregoing securities for the clients of such affiliates. Click to get this free report Roche Holding AG (RHHBY): Free Stock Analysis Report Astrazeneca PLC (AZN): Free Stock Analysis Report Novo Nordisk A/S (NVO): Free Stock Analysis Report Johnson & Johnson (JNJ): Free Stock Analysis Report AbbVie Inc. (ABBV): Free Stock Analysis Report To read this article on Zacks.com click here.", 'news_luhn_summary': "Click to get this free report Roche Holding AG (RHHBY): Free Stock Analysis Report Astrazeneca PLC (AZN): Free Stock Analysis Report Novo Nordisk A/S (NVO): Free Stock Analysis Report Johnson & Johnson (JNJ): Free Stock Analysis Report AbbVie Inc. (ABBV): Free Stock Analysis Report To read this article on Zacks.com click here. Stocks recently featured in the blog include Johnson and Johnson, Inc.JNJ , AbbVie Inc.ABBV , Roche'sRHHBY , AstraZeneca plcAZN and Novo-Nordisk A/SNVO . Follow us on Twitter: https://twitter.com/zacksresearch Join us on Facebook: https://www.facebook.com/home.php#/pages/Zacks-Investment-Research/57553657748?ref=ts Zacks Investment Research is under common control with affiliated entities (including a broker-dealer and an investment adviser), which may engage in transactions involving the foregoing securities for the clients of such affiliates.", 'news_article_title': "The Zacks Analyst Blog Highlights: Johnson and Johnson, AbbVie, Roche's, AstraZeneca and Novo-Nordisk A/S", 'news_lexrank_summary': "Stocks recently featured in the blog include Johnson and Johnson, Inc.JNJ , AbbVie Inc.ABBV , Roche'sRHHBY , AstraZeneca plcAZN and Novo-Nordisk A/SNVO . Follow us on Twitter: https://twitter.com/zacksresearch Join us on Facebook: https://www.facebook.com/home.php#/pages/Zacks-Investment-Research/57553657748?ref=ts Zacks Investment Research is under common control with affiliated entities (including a broker-dealer and an investment adviser), which may engage in transactions involving the foregoing securities for the clients of such affiliates. Click to get this free report Roche Holding AG (RHHBY): Free Stock Analysis Report Astrazeneca PLC (AZN): Free Stock Analysis Report Novo Nordisk A/S (NVO): Free Stock Analysis Report Johnson & Johnson (JNJ): Free Stock Analysis Report AbbVie Inc. (ABBV): Free Stock Analysis Report To read this article on Zacks.com click here.", 'news_textrank_summary': "Click to get this free report Roche Holding AG (RHHBY): Free Stock Analysis Report Astrazeneca PLC (AZN): Free Stock Analysis Report Novo Nordisk A/S (NVO): Free Stock Analysis Report Johnson & Johnson (JNJ): Free Stock Analysis Report AbbVie Inc. (ABBV): Free Stock Analysis Report To read this article on Zacks.com click here. Stocks recently featured in the blog include Johnson and Johnson, Inc.JNJ , AbbVie Inc.ABBV , Roche'sRHHBY , AstraZeneca plcAZN and Novo-Nordisk A/SNVO . Follow us on Twitter: https://twitter.com/zacksresearch Join us on Facebook: https://www.facebook.com/home.php#/pages/Zacks-Investment-Research/57553657748?ref=ts Zacks Investment Research is under common control with affiliated entities (including a broker-dealer and an investment adviser), which may engage in transactions involving the foregoing securities for the clients of such affiliates."}, {'news_url': 'http://www.zacks.com/stock/news/287430/the-zacks-analyst-blog-highlights-johnson-and-johnson-abbvie-roches-astrazeneca-and-novo-nordisk-a-s?cid=CS-BENZ-FT-287430', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "The Zacks Analyst Blog Highlights: Johnson and Johnson, AbbVie, Roche's, AstraZeneca and Novo-Nordisk A/S", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 53.9900016784668, 'high': 54.52000045776367, 'open': 54.4900016784668, 'close': 54.15999984741211, 'ema_50': 51.53500656214591, 'rsi_14': 71.01445803337207, 'target': 54.68000030517578, 'volume': 741400.0, 'ema_200': 46.770510652817784, 'adj_close': 50.79369735717773, 'rsi_lag_1': 69.54307938527316, 'rsi_lag_2': 74.61020468502024, 'rsi_lag_3': 65.36883708132177, 'rsi_lag_4': 73.07692542819049, 'rsi_lag_5': 68.48673157801711, 'macd_lag_1': 0.6977378099588734, 'macd_lag_2': 0.7033728027519217, 'macd_lag_3': 0.6942249947781391, 'macd_lag_4': 0.6887421407767889, 'macd_lag_5': 0.670707558478469, 'macd_12_26_9': 0.7244599545148347, 'macds_12_26_9': 0.6869375211251609}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 54.68000030517578, '2018-01-04': 54.4900016784668, '2018-01-05': 54.7400016784668, '2018-01-08': 54.68999862670898, '2018-01-09': 54.86000061035156, '2018-01-10': 54.790000915527344, '2018-01-11': 54.959999084472656, '2018-01-12': 55.040000915527344, '2018-01-16': 55.310001373291016}, '1_month_later': {'2018-02-02': 50.470001220703125}, '3_months_later': {'2018-04-02': 48.40999984741211}, '6_months_later': {'2018-07-02': 46.7599983215332}, '12_months_later': {'2019-01-02': 46.790000915527344}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVMI
{'date': '2018-01-02', 'ticker': 'NVMI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.15999984741211, 'high': 26.88999938964844, 'open': 26.31999969482422, 'close': 26.61000061035156, 'ema_50': 27.16995274167043, 'rsi_14': 50.37594847577019, 'target': 27.31999969482422, 'volume': 136200.0, 'ema_200': 24.293258686442336, 'adj_close': 26.61000061035156, 'rsi_lag_1': 40.325857510564234, 'rsi_lag_2': 42.30767976759697, 'rsi_lag_3': 47.991960026871396, 'rsi_lag_4': 50.102671736740426, 'rsi_lag_5': 57.29167577293331, 'macd_lag_1': -0.41926125959059135, 'macd_lag_2': -0.39259496242701886, 'macd_lag_3': -0.3762667334397207, 'macd_lag_4': -0.36115306719079143, 'macd_lag_5': -0.35290029121043176, 'macd_12_26_9': -0.37953523485930063, 'macds_12_26_9': -0.40061453644749223}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.31999969482422, '2018-01-04': 27.850000381469727, '2018-01-05': 28.21999931335449, '2018-01-08': 28.25, '2018-01-09': 27.600000381469727, '2018-01-10': 26.96999931335449, '2018-01-11': 26.709999084472656, '2018-01-12': 26.76000022888184, '2018-01-16': 27.14999961853028}, '1_month_later': {'2018-02-02': 25.06999969482422}, '3_months_later': {'2018-04-02': 26.40999984741211}, '6_months_later': {'2018-07-02': 27.13999938964844}, '12_months_later': {'2019-01-02': 23.309999465942383}}
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.
NVIV
{'date': '2018-01-02', 'ticker': 'NVIV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 585.0, 'high': 712.5, 'open': 592.5, 'close': 682.5, 'ema_50': 1111.6222653893617, 'rsi_14': 46.25000000000001, 'target': 540.0, 'volume': 800.0, 'ema_200': 1949.4583727732092, 'adj_close': 682.5, 'rsi_lag_1': 34.32835820895522, 'rsi_lag_2': 40.0, 'rsi_lag_3': 27.77777777777777, 'rsi_lag_4': 31.746031746031747, 'rsi_lag_5': 28.57142857142857, 'macd_lag_1': -181.44568915382285, 'macd_lag_2': -189.58251836039278, 'macd_lag_3': -201.02868918971808, 'macd_lag_4': -208.13229356911552, 'macd_lag_5': -221.04442434326836, 'macd_12_26_9': -164.62685499877432, 'macds_12_26_9': -211.2534388122747}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 540.0, '2018-01-04': 577.5, '2018-01-05': 555.0, '2018-01-08': 517.5, '2018-01-09': 525.0, '2018-01-10': 525.0, '2018-01-11': 532.5, '2018-01-12': 540.0, '2018-01-16': 532.5}, '1_month_later': {'2018-02-02': 397.5}, '3_months_later': {'2018-04-02': 382.5}, '6_months_later': {'2018-07-02': 51.900001525878906}, '12_months_later': {'2019-01-02': 48.900001525878906}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUS
{'date': '2018-01-02', 'ticker': 'NUS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 67.91000366210938, 'high': 69.12000274658203, 'open': 68.94999694824219, 'close': 68.55999755859375, 'ema_50': 65.9489437213228, 'rsi_14': 57.72833462127743, 'target': 68.05000305175781, 'volume': 447900.0, 'ema_200': 61.12831675765273, 'adj_close': 63.49116134643555, 'rsi_lag_1': 53.990606544972614, 'rsi_lag_2': 62.94170412736906, 'rsi_lag_3': 65.57213522450876, 'rsi_lag_4': 67.03962385549667, 'rsi_lag_5': 67.34690064452643, 'macd_lag_1': 1.0400132712528745, 'macd_lag_2': 1.130716910171401, 'macd_lag_3': 1.225968901473152, 'macd_lag_4': 1.2034576997728834, 'macd_lag_5': 1.1144569313134411, 'macd_12_26_9': 0.9834214873750682, 'macds_12_26_9': 1.0683036774378063}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 68.05000305175781, '2018-01-04': 68.41000366210938, '2018-01-05': 68.79000091552734, '2018-01-08': 68.41000366210938, '2018-01-09': 68.80000305175781, '2018-01-10': 67.33000183105469, '2018-01-11': 67.95999908447266, '2018-01-12': 68.66999816894531, '2018-01-16': 68.3499984741211}, '1_month_later': {'2018-02-02': 69.9800033569336}, '3_months_later': {'2018-04-02': 72.16999816894531}, '6_months_later': {'2018-07-02': 78.04000091552734}, '12_months_later': {'2019-01-02': 60.84000015258789}}
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.
NVGS
{'date': '2018-01-02', 'ticker': 'NVGS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.850000381469728, 'high': 10.5, 'open': 9.949999809265137, 'close': 10.350000381469728, 'ema_50': 10.16315815993881, 'rsi_14': 59.61539025843123, 'target': 10.300000190734863, 'volume': 136500.0, 'ema_200': 10.3469795860157, 'adj_close': 10.350000381469728, 'rsi_lag_1': 50.0, 'rsi_lag_2': 46.51163306476652, 'rsi_lag_3': 50.0, 'rsi_lag_4': 38.63635772515612, 'rsi_lag_5': 36.363620600416276, 'macd_lag_1': -0.09563471079171926, 'macd_lag_2': -0.09627244647990985, 'macd_lag_3': -0.09059517411648521, 'macd_lag_4': -0.09221292205191922, 'macd_lag_5': -0.07257286087993897, 'macd_12_26_9': -0.054159166183687546, 'macds_12_26_9': -0.07678270923818924}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, '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': 10.800000190734863, '2018-01-05': 10.75, '2018-01-08': 10.25, '2018-01-09': 10.199999809265137, '2018-01-10': 10.149999618530272, '2018-01-11': 10.25, '2018-01-12': 10.75, '2018-01-16': 10.649999618530272}, '1_month_later': {'2018-02-02': 12.75}, '3_months_later': {'2018-04-02': 11.300000190734863}, '6_months_later': {'2018-07-02': 12.5}, '12_months_later': {'2019-01-02': 9.75}}
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.
nvee
{'date': '2018-01-02', 'ticker': 'nvee', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 51.900001525878906, 'high': 54.650001525878906, 'open': 54.45000076293945, 'close': 53.25, 'ema_50': 53.50812469897026, 'rsi_14': 50.0, 'target': 52.09999847412109, 'volume': 72000.0, 'ema_200': 47.088665263260985, 'adj_close': 53.25, 'rsi_lag_1': 52.409646860275494, 'rsi_lag_2': 62.420383403690586, 'rsi_lag_3': 52.4590211776203, 'rsi_lag_4': 49.41861341939769, 'rsi_lag_5': 46.02272259302335, 'macd_lag_1': 0.17566797658134448, 'macd_lag_2': 0.18683188929235683, 'macd_lag_3': 0.09654536494470278, 'macd_lag_4': -0.009915316578542388, 'macd_lag_5': -0.08965371407181522, 'macd_12_26_9': 0.09312441354298784, 'macds_12_26_9': 0.009564939047809378}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 52.09999847412109, '2018-01-04': 51.70000076293945, '2018-01-05': 52.0, '2018-01-08': 52.75, '2018-01-09': 52.75, '2018-01-10': 53.45000076293945, '2018-01-11': 54.09999847412109, '2018-01-12': 53.25, '2018-01-16': 51.650001525878906}, '1_month_later': {'2018-02-02': 48.0}, '3_months_later': {'2018-04-02': 54.45000076293945}, '6_months_later': {'2018-07-02': 69.4000015258789}, '12_months_later': {'2019-01-02': 60.81999969482422}}
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.
NVEC
{'date': '2018-01-02', 'ticker': 'NVEC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 85.38999938964844, 'high': 89.02999877929688, 'open': 86.70999908447266, 'close': 87.81999969482422, 'ema_50': 83.85524849328259, 'rsi_14': 79.27808379788834, 'target': 89.91999816894531, 'volume': 13900.0, 'ema_200': 79.27221257288173, 'adj_close': 87.81999969482422, 'rsi_lag_1': 78.24562474300987, 'rsi_lag_2': 58.74604612124947, 'rsi_lag_3': 67.27955816464763, 'rsi_lag_4': 63.02847462469337, 'rsi_lag_5': 69.36602239885669, 'macd_lag_1': 0.662938482357788, 'macd_lag_2': 0.627068365181529, 'macd_lag_3': 0.5619823947634472, 'macd_lag_4': 0.48193480165087976, 'macd_lag_5': 0.5244638772742434, 'macd_12_26_9': 0.8286721568566691, 'macds_12_26_9': 0.3728783762859091}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 89.91999816894531, '2018-01-04': 88.08000183105469, '2018-01-05': 88.62000274658203, '2018-01-08': 88.0999984741211, '2018-01-09': 87.01000213623047, '2018-01-10': 89.51000213623047, '2018-01-11': 93.73999786376952, '2018-01-12': 91.4499969482422, '2018-01-16': 90.2300033569336}, '1_month_later': {'2018-02-02': 84.91000366210938}, '3_months_later': {'2018-04-02': 78.91000366210938}, '6_months_later': {'2018-07-02': 122.41000366210938}, '12_months_later': {'2019-01-02': 87.52999877929688}}
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.
nvda
{'date': '2018-01-02', 'ticker': 'nvda', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 48.625, 'high': 49.875, 'open': 48.94499969482422, 'close': 49.837501525878906, 'ema_50': 49.00870249114176, 'rsi_14': 56.40185888100563, 'target': 53.11750030517578, 'volume': 35561600.0, 'ema_200': 41.261603195834674, 'adj_close': 49.31278991699219, 'rsi_lag_1': 52.960227816662616, 'rsi_lag_2': 58.8543172878816, 'rsi_lag_3': 61.966716005699126, 'rsi_lag_4': 64.13993598426968, 'rsi_lag_5': 62.962961261245965, 'macd_lag_1': -0.31747547892715033, 'macd_lag_2': -0.2933228281575637, 'macd_lag_3': -0.3575013210398694, 'macd_lag_4': -0.42836195967535673, 'macd_lag_5': -0.5194480186920103, 'macd_12_26_9': -0.21611375334685334, 'macds_12_26_9': -0.4193158549313429}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 53.11750030517578, '2018-01-04': 53.397499084472656, '2018-01-05': 53.84999847412109, '2018-01-08': 55.5, '2018-01-09': 55.48500061035156, '2018-01-10': 55.91999816894531, '2018-01-11': 56.02000045776367, '2018-01-12': 55.744998931884766, '2018-01-16': 55.02750015258789}, '1_month_later': {'2018-02-02': 58.380001068115234}, '3_months_later': {'2018-04-02': 55.26250076293945}, '6_months_later': {'2018-07-02': 60.560001373291016}, '12_months_later': {'2019-01-02': 34.05500030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVCR
{'date': '2018-01-02', 'ticker': 'NVCR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.09000015258789, 'high': 20.64999961853028, 'open': 20.25, 'close': 20.299999237060547, 'ema_50': 19.661713841787872, 'rsi_14': 52.083306842312744, 'target': 21.0, 'volume': 504000.0, 'ema_200': 17.11168181703263, 'adj_close': 20.299999237060547, 'rsi_lag_1': 48.9361840279074, 'rsi_lag_2': 52.27274106556857, 'rsi_lag_3': 53.33333333333348, 'rsi_lag_4': 52.27274106556873, 'rsi_lag_5': 76.31582117480771, 'macd_lag_1': 0.26439411473240426, 'macd_lag_2': 0.28107741821542476, 'macd_lag_3': 0.26773760444081063, 'macd_lag_4': 0.282453188544455, 'macd_lag_5': 0.3022180463768045, 'macd_12_26_9': 0.25628719837522596, 'macds_12_26_9': 0.27084039210264427}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 21.0, '2018-01-04': 20.350000381469727, '2018-01-05': 20.799999237060547, '2018-01-08': 20.5, '2018-01-09': 21.0, '2018-01-10': 21.5, '2018-01-11': 22.14999961853028, '2018-01-12': 21.700000762939453, '2018-01-16': 21.200000762939453}, '1_month_later': {'2018-02-02': 21.299999237060547}, '3_months_later': {'2018-04-02': 20.350000381469727}, '6_months_later': {'2018-07-02': 32.0}, '12_months_later': {'2019-01-02': 32.720001220703125}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVCN
{'date': '2018-01-02', 'ticker': 'NVCN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/18/01/10976035/neovasc-reports-received-nasdaq-notification-related-to-minimum-bid-requirements', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Neovasc Reports Received NASDAQ Notification Related To Minimum Bid Requirements', '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': 600.0, 'high': 610.0, 'open': 610.0, 'close': 600.0, 'ema_50': 871.0505055039043, 'rsi_14': 33.33333333333333, 'target': 570.0, 'volume': 300.0, 'ema_200': 1306.6547059292309, 'adj_close': 600.0, 'rsi_lag_1': 33.33333333333333, 'rsi_lag_2': 37.037037037037045, 'rsi_lag_3': 34.482758620689665, 'rsi_lag_4': 30.0, 'rsi_lag_5': 33.33333333333333, 'macd_lag_1': -94.11833905838478, 'macd_lag_2': -98.96587347262277, 'macd_lag_3': -104.73176832901231, 'macd_lag_4': -112.60413931547293, 'macd_lag_5': -119.99608716633065, 'macd_12_26_9': -89.24783957078068, 'macds_12_26_9': -110.47698628393047}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 570.0, '2018-01-04': 570.0, '2018-01-05': 560.0, '2018-01-08': 560.0, '2018-01-09': 540.0, '2018-01-10': 520.0, '2018-01-11': 570.0, '2018-01-12': 530.0, '2018-01-16': 530.0}, '1_month_later': {'2018-02-02': 480.0}, '3_months_later': {'2018-04-02': 60.0}, '6_months_later': {'2018-07-02': 40.0}, '12_months_later': {'2019-01-02': 6.300000190734862}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVAX
{'date': '2018-01-02', 'ticker': 'NVAX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/markets/options/18/01/10973828/novavax-option-alert-jan-2019-1-5-calls-at-the-ask-1000-0-5-vs-2078-o', 'news_author': None, 'news_article': None, 'news_publisher': 'Charles Gross', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Novavax Option Alert: Jan, 2019 $1.5 Calls at the Ask: 1000 @ $0.5 vs 2078 OI; Ref=$1.29', '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': 24.200000762939453, 'high': 26.0, 'open': 24.600000381469727, 'close': 26.0, 'ema_50': 25.12533584546133, 'rsi_14': 45.918366453241504, 'target': 27.0, 'volume': 232200.0, 'ema_200': 28.214060116611634, 'adj_close': 26.0, 'rsi_lag_1': 40.206182424922474, 'rsi_lag_2': 44.08601896930153, 'rsi_lag_3': 41.11111334812516, 'rsi_lag_4': 34.48275219482143, 'rsi_lag_5': 34.48275937667407, 'macd_lag_1': -0.38729819890984274, 'macd_lag_2': -0.3826721328712779, 'macd_lag_3': -0.4933833461486685, 'macd_lag_4': -0.5460601601052986, 'macd_lag_5': -0.46280662677346385, 'macd_12_26_9': -0.290782398347627, 'macds_12_26_9': -0.16083380543972142}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.0, '2018-01-04': 26.39999961853028, '2018-01-05': 25.799999237060547, '2018-01-08': 27.0, '2018-01-09': 26.600000381469727, '2018-01-10': 42.400001525878906, '2018-01-11': 39.59999847412109, '2018-01-12': 32.20000076293945, '2018-01-16': 33.0}, '1_month_later': {'2018-02-02': 40.0}, '3_months_later': {'2018-04-02': 42.59999847412109}, '6_months_later': {'2018-07-02': 26.600000381469727}, '12_months_later': {'2019-01-02': 39.400001525878906}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUW
{'date': '2018-01-02', 'ticker': 'NUW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.209999084472656, 'high': 17.360000610351562, 'open': 17.34000015258789, 'close': 17.239999771118164, 'ema_50': 17.400642259581616, 'rsi_14': 36.19907549651499, 'target': 17.360000610351562, 'volume': 77400.0, 'ema_200': 17.29457697047996, 'adj_close': 15.639707565307615, 'rsi_lag_1': 34.7826159068085, 'rsi_lag_2': 40.24389298357971, 'rsi_lag_3': 49.295757621345146, 'rsi_lag_4': 52.941154471149446, 'rsi_lag_5': 54.43036599410411, 'macd_lag_1': -0.014050861883536214, 'macd_lag_2': 0.002747566741469143, 'macd_lag_3': 0.02109389021178032, 'macd_lag_4': 0.04114922896421902, 'macd_lag_5': 0.07633045684567819, 'macd_12_26_9': -0.02864737824172181, 'macds_12_26_9': 0.04693170928085883}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 17.360000610351562, '2018-01-04': 17.3799991607666, '2018-01-05': 17.34000015258789, '2018-01-08': 17.3700008392334, '2018-01-09': 17.34000015258789, '2018-01-10': 17.31999969482422, '2018-01-11': 17.190000534057617, '2018-01-12': 17.100000381469727, '2018-01-16': 16.989999771118164}, '1_month_later': {'2018-02-02': 16.34000015258789}, '3_months_later': {'2018-04-02': 15.920000076293944}, '6_months_later': {'2018-07-02': 15.579999923706056}, '12_months_later': {'2019-01-02': 14.93000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NUVA
{'date': '2018-01-02', 'ticker': 'NUVA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 58.72999954223633, 'high': 61.84999847412109, 'open': 59.09000015258789, 'close': 61.27999877929688, 'ema_50': 58.33113049149374, 'rsi_14': 67.40041601788832, 'target': 60.77000045776367, 'volume': 915500.0, 'ema_200': 62.73878685667496, 'adj_close': 61.27999877929688, 'rsi_lag_1': 52.29887482920193, 'rsi_lag_2': 59.34067447651233, 'rsi_lag_3': 51.43720498876657, 'rsi_lag_4': 53.4023853122999, 'rsi_lag_5': 41.605838061095454, 'macd_lag_1': 0.4372762842753559, 'macd_lag_2': 0.5152289574881053, 'macd_lag_3': 0.532903449433924, 'macd_lag_4': 0.5864022231883794, 'macd_lag_5': 0.6400473949807832, 'macd_12_26_9': 0.5937829183284506, 'macds_12_26_9': 0.5948533517737601}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 60.77000045776367, '2018-01-04': 60.91999816894531, '2018-01-05': 61.0099983215332, '2018-01-08': 55.560001373291016, '2018-01-09': 53.2599983215332, '2018-01-10': 52.61000061035156, '2018-01-11': 52.4900016784668, '2018-01-12': 53.33000183105469, '2018-01-16': 51.9900016784668}, '1_month_later': {'2018-02-02': 49.130001068115234}, '3_months_later': {'2018-04-02': 53.06999969482422}, '6_months_later': {'2018-07-02': 52.02999877929688}, '12_months_later': {'2019-01-02': 48.470001220703125}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NVG
{'date': '2018-01-02', 'ticker': 'NVG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.420000076293944, 'high': 15.479999542236328, 'open': 15.470000267028809, 'close': 15.470000267028809, 'ema_50': 15.40588064059744, 'rsi_14': 36.923101752409124, 'target': 15.529999732971191, 'volume': 478700.0, 'ema_200': 15.276917300542797, 'adj_close': 13.530799865722656, 'rsi_lag_1': 31.8181489781971, 'rsi_lag_2': 33.82363253365189, 'rsi_lag_3': 32.83590587404696, 'rsi_lag_4': 36.619784523922995, 'rsi_lag_5': 40.000050862500956, 'macd_lag_1': -0.016540748138242023, 'macd_lag_2': -0.024302023321739696, 'macd_lag_3': -0.03283664074104564, 'macd_lag_4': -0.035106845422657074, 'macd_lag_5': -0.029348360323695033, 'macd_12_26_9': -0.00787826126049751, 'macds_12_26_9': -0.011823015255786098}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.529999732971191, '2018-01-04': 15.579999923706056, '2018-01-05': 15.600000381469728, '2018-01-08': 15.649999618530272, '2018-01-09': 15.59000015258789, '2018-01-10': 15.520000457763672, '2018-01-11': 15.399999618530272, '2018-01-12': 15.300000190734863, '2018-01-16': 15.329999923706056}, '1_month_later': {'2018-02-02': 14.479999542236328}, '3_months_later': {'2018-04-02': 14.550000190734863}, '6_months_later': {'2018-07-02': 14.649999618530272}, '12_months_later': {'2019-01-02': 14.1899995803833}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OCUL
{'date': '2018-01-02', 'ticker': 'OCUL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.449999809265137, 'high': 4.869999885559082, 'open': 4.489999771118164, 'close': 4.809999942779541, 'ema_50': 4.857071342031517, 'rsi_14': 68.09816291915593, 'target': 4.659999847412109, 'volume': 424000.0, 'ema_200': 6.4758328650890356, 'adj_close': 4.809999942779541, 'rsi_lag_1': 61.194021883984064, 'rsi_lag_2': 66.66665562876628, 'rsi_lag_3': 68.62744914710815, 'rsi_lag_4': 66.87898069826883, 'rsi_lag_5': 66.87897054209698, 'macd_lag_1': -0.05647265368358756, 'macd_lag_2': -0.055968777096851774, 'macd_lag_3': -0.058584279429775066, 'macd_lag_4': -0.06005231995299276, 'macd_lag_5': -0.06308894689764699, 'macd_12_26_9': -0.02750590641354389, 'macds_12_26_9': -0.08378825321762941}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.659999847412109, '2018-01-04': 4.829999923706055, '2018-01-05': 4.869999885559082, '2018-01-08': 4.849999904632568, '2018-01-09': 4.860000133514404, '2018-01-10': 4.820000171661377, '2018-01-11': 4.909999847412109, '2018-01-12': 5.599999904632568, '2018-01-16': 5.300000190734863}, '1_month_later': {'2018-02-02': 5.179999828338623}, '3_months_later': {'2018-04-02': 6.440000057220459}, '6_months_later': {'2018-07-02': 6.579999923706055}, '12_months_later': {'2019-01-02': 4.099999904632568}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
ON
{'date': '2018-01-02', 'ticker': 'ON', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.0, 'high': 21.8799991607666, 'open': 21.030000686645508, 'close': 21.809999465942383, 'ema_50': 20.261314068228767, 'rsi_14': 85.41038491974905, 'target': 22.780000686645508, 'volume': 7027400.0, 'ema_200': 17.559641974229432, 'adj_close': 21.809999465942383, 'rsi_lag_1': 80.64522331399301, 'rsi_lag_2': 84.38821112202922, 'rsi_lag_3': 87.02295300127454, 'rsi_lag_4': 85.77411701237044, 'rsi_lag_5': 86.71880587940754, 'macd_lag_1': 0.18609866492897353, 'macd_lag_2': 0.1764650685073974, 'macd_lag_3': 0.14225701699519888, 'macd_lag_4': 0.09347129563215617, 'macd_lag_5': 0.059370564170510676, 'macd_12_26_9': 0.26092719612267956, 'macds_12_26_9': 0.09088079176521119}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.780000686645508, '2018-01-04': 22.780000686645508, '2018-01-05': 22.82999992370605, '2018-01-08': 22.96999931335449, '2018-01-09': 22.920000076293945, '2018-01-10': 22.63999938964844, '2018-01-11': 23.07999992370605, '2018-01-12': 23.56999969482422, '2018-01-16': 23.5}, '1_month_later': {'2018-02-02': 23.690000534057617}, '3_months_later': {'2018-04-02': 23.3700008392334}, '6_months_later': {'2018-07-02': 22.59000015258789}, '12_months_later': {'2019-01-02': 16.780000686645508}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
ODC
{'date': '2018-01-02', 'ticker': 'ODC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 40.4900016784668, 'high': 42.369998931884766, 'open': 42.369998931884766, 'close': 40.68999862670898, 'ema_50': 43.28242238052805, 'rsi_14': 35.1507891165072, 'target': 39.56999969482422, 'volume': 7500.0, 'ema_200': 41.411391151204015, 'adj_close': 37.902591705322266, 'rsi_lag_1': 39.87419639335482, 'rsi_lag_2': 42.93191756650012, 'rsi_lag_3': 37.203485522945094, 'rsi_lag_4': 36.56439213806681, 'rsi_lag_5': 31.879196062752243, 'macd_lag_1': -0.46593509390181254, 'macd_lag_2': -0.37430262568576467, 'macd_lag_3': -0.2946653234453862, 'macd_lag_4': -0.15818774883501874, 'macd_lag_5': -0.11609179164047845, 'macd_12_26_9': -0.597032606254956, 'macds_12_26_9': -0.28693786611909045}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 39.56999969482422, '2018-01-04': 40.25, '2018-01-05': 39.77999877929688, '2018-01-08': 40.470001220703125, '2018-01-09': 40.72999954223633, '2018-01-10': 41.470001220703125, '2018-01-11': 41.41999816894531, '2018-01-12': 42.130001068115234, '2018-01-16': 41.220001220703125}, '1_month_later': {'2018-02-02': 36.5}, '3_months_later': {'2018-04-02': 38.900001525878906}, '6_months_later': {'2018-07-02': 42.59999847412109}, '12_months_later': {'2019-01-02': 27.479999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OPRX
{'date': '2018-01-02', 'ticker': 'OPRX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': 'Q1', 'sec_fy': 2018.0, 'sec_rn': 1.0, 'sec_end': '2018-01-02', 'sec_form': '10-Q', 'sec_label': 'Cash and Cash Equivalents, at Carrying Value', 'sec_units': 'USD', 'sec_value': 5122573.0, 'sec_entity': 'OptimizeRx Corporation'}, 'stock_metrics': {'low': 4.199999809265137, 'high': 4.739999771118164, 'open': 4.739999771118164, 'close': 4.619999885559082, 'ema_50': 4.390223848250221, 'rsi_14': 56.2499875823785, 'target': 4.5, 'volume': 4800.0, 'ema_200': 3.6456447054453562, 'adj_close': 4.619999885559082, 'rsi_lag_1': 52.941170970741396, 'rsi_lag_2': 42.857159076072456, 'rsi_lag_3': 50.0, 'rsi_lag_4': 58.62068209533988, 'rsi_lag_5': 35.48388419942441, 'macd_lag_1': 0.04325275322983568, 'macd_lag_2': 0.03199612273665409, 'macd_lag_3': 0.03854499282415258, 'macd_lag_4': 0.031070341039161065, 'macd_lag_5': 0.021078035073019308, 'macd_12_26_9': 0.04439964240432204, 'macds_12_26_9': 0.04466161942210869}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.5, '2018-01-04': 4.5, '2018-01-05': 4.650000095367432, '2018-01-08': 4.5, '2018-01-09': 4.5, '2018-01-10': 4.5, '2018-01-11': 4.800000190734863, '2018-01-12': 4.380000114440918, '2018-01-16': 4.769999980926514}, '1_month_later': {'2018-02-02': 4.199999809265137}, '3_months_later': {'2018-04-02': 4.619999885559082}, '6_months_later': {'2018-07-02': 10.100000381469728}, '12_months_later': {'2019-01-02': 12.039999961853027}}
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.
OPP
{'date': '2018-01-02', 'ticker': 'OPP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.36000061035156, 'high': 18.489999771118164, 'open': 18.36000061035156, 'close': 18.420000076293945, 'ema_50': 18.52410192249877, 'rsi_14': 44.44442089692052, 'target': 18.450000762939453, 'volume': 70700.0, 'ema_200': 18.919986646463133, 'adj_close': 14.110886573791504, 'rsi_lag_1': 45.05493584181186, 'rsi_lag_2': 37.03711552861748, 'rsi_lag_3': 40.00000000000042, 'rsi_lag_4': 46.87492549412283, 'rsi_lag_5': 58.65377737919038, 'macd_lag_1': -0.06232313410441748, 'macd_lag_2': -0.07412696556649934, 'macd_lag_3': -0.07691486846411522, 'macd_lag_4': -0.07833627949871413, 'macd_lag_5': -0.07493825957283207, 'macd_12_26_9': -0.04917392663075404, 'macds_12_26_9': -0.07165513728592024}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 18.450000762939453, '2018-01-04': 18.489999771118164, '2018-01-05': 18.350000381469727, '2018-01-08': 18.43000030517578, '2018-01-09': 18.36000061035156, '2018-01-10': 18.200000762939453, '2018-01-11': 18.347000122070312, '2018-01-12': 18.31999969482422, '2018-01-16': 18.209999084472656}, '1_month_later': {'2018-02-02': 18.059999465942383}, '3_months_later': {'2018-04-02': 17.6299991607666}, '6_months_later': {'2018-07-02': 17.760000228881836}, '12_months_later': {'2019-01-02': 16.25}}
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.
OPOF
{'date': '2018-01-02', 'ticker': 'OPOF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.64999961853028, 'high': 30.0, 'open': 29.14999961853028, 'close': 29.729999542236328, 'ema_50': 29.86559083596586, 'rsi_14': 62.790685639597136, 'target': 29.11000061035156, 'volume': 6000.0, 'ema_200': 29.658614033700356, 'adj_close': 28.299129486083984, 'rsi_lag_1': 59.9999929357503, 'rsi_lag_2': 55.479443106833656, 'rsi_lag_3': 59.93835358579874, 'rsi_lag_4': 57.290127831632105, 'rsi_lag_5': 58.58434543915403, 'macd_lag_1': 0.15404881371174284, 'macd_lag_2': 0.16674252684767055, 'macd_lag_3': 0.1713553229598901, 'macd_lag_4': 0.1757686922407622, 'macd_lag_5': 0.1717178791263798, 'macd_12_26_9': 0.14075257671855113, 'macds_12_26_9': 0.07643374306411777}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 29.11000061035156, '2018-01-04': 29.200000762939453, '2018-01-05': 29.549999237060547, '2018-01-08': 28.89999961853028, '2018-01-09': 28.57999992370605, '2018-01-10': 28.270000457763672, '2018-01-11': 28.89999961853028, '2018-01-12': 29.979999542236328, '2018-01-16': 29.690000534057617}, '1_month_later': {'2018-02-02': 29.51000022888184}, '3_months_later': {'2018-04-02': 26.489999771118164}, '6_months_later': {'2018-07-02': 28.64999961853028}, '12_months_later': {'2019-01-02': 22.09000015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OPINI
{'date': '2018-01-02', 'ticker': 'OPINI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.42300033569336, 'high': 25.84000015258789, 'open': 25.84000015258789, 'close': 25.530000686645508, 'ema_50': 25.8749296722715, 'rsi_14': 38.03683637767819, 'target': 25.489999771118164, 'volume': 23600.0, 'ema_200': 25.647232606931368, 'adj_close': 22.06148338317871, 'rsi_lag_1': 44.28572596334625, 'rsi_lag_2': 48.22691197935209, 'rsi_lag_3': 49.63502836657269, 'rsi_lag_4': 51.680682370666275, 'rsi_lag_5': 59.398483301400766, 'macd_lag_1': 0.03601630865520633, 'macd_lag_2': 0.05047660283436883, 'macd_lag_3': 0.06310815995382413, 'macd_lag_4': 0.07322165764712096, 'macd_lag_5': 0.08608332116875417, 'macd_12_26_9': -0.00045272604643287195, 'macds_12_26_9': 0.04209769415371701}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.489999771118164, '2018-01-04': 25.68000030517578, '2018-01-05': 25.530000686645508, '2018-01-08': 25.43000030517578, '2018-01-09': 25.43000030517578, '2018-01-10': 25.420000076293945, '2018-01-11': 25.670000076293945, '2018-01-12': 25.61000061035156, '2018-01-16': 25.684999465942383}, '1_month_later': {'2018-02-02': 24.96999931335449}, '3_months_later': {'2018-04-02': 25.299999237060547}, '6_months_later': {'2018-07-02': 25.600000381469727}, '12_months_later': {'2019-01-02': 23.200000762939453}}
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.
OPI
{'date': '2018-01-02', 'ticker': 'OPI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 73.4800033569336, 'high': 74.80000305175781, 'open': 74.23999786376953, 'close': 74.44000244140625, 'ema_50': 74.18571525630026, 'rsi_14': 58.46154147116332, 'target': 72.63999938964844, 'volume': 153600.0, 'ema_200': 76.57019130611309, 'adj_close': 58.52749252319336, 'rsi_lag_1': 56.61375874958624, 'rsi_lag_2': 64.76682913716701, 'rsi_lag_3': 61.14283970424107, 'rsi_lag_4': 55.55552023430703, 'rsi_lag_5': 36.15023810504561, 'macd_lag_1': -0.10850177968995922, 'macd_lag_2': -0.1501821311194078, 'macd_lag_3': -0.25821488191171227, 'macd_lag_4': -0.3068204270625188, 'macd_lag_5': -0.33588696822384634, 'macd_12_26_9': -0.052273661222216106, 'macds_12_26_9': -0.1732430801863116}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 72.63999938964844, '2018-01-04': 71.44000244140625, '2018-01-05': 71.36000061035156, '2018-01-08': 72.0, '2018-01-09': 71.5199966430664, '2018-01-10': 71.19999694824219, '2018-01-11': 71.27999877929688, '2018-01-12': 70.76000213623047, '2018-01-16': 70.5999984741211}, '1_month_later': {'2018-02-02': 66.5999984741211}, '3_months_later': {'2018-04-02': 53.15999984741211}, '6_months_later': {'2018-07-02': 62.31999969482422}, '12_months_later': {'2019-01-02': 26.489999771118164}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OPTN
{'date': '2018-01-02', 'ticker': 'OPTN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.39999961853028, 'high': 19.440000534057617, 'open': 18.81999969482422, 'close': 19.06999969482422, 'ema_50': 18.830435525985358, 'rsi_14': 50.57636859887037, 'target': 18.6200008392334, 'volume': 66600.0, 'ema_200': 18.89739756787323, 'adj_close': 19.06999969482422, 'rsi_lag_1': 54.986880089550326, 'rsi_lag_2': 60.8575423415818, 'rsi_lag_3': 54.78036277592806, 'rsi_lag_4': 55.789484779598155, 'rsi_lag_5': 55.06494278569688, 'macd_lag_1': 0.2636773397103802, 'macd_lag_2': 0.3152545059885874, 'macd_lag_3': 0.3154092574742009, 'macd_lag_4': 0.327309899179987, 'macd_lag_5': 0.3102476185422738, 'macd_12_26_9': 0.23382426863027206, 'macds_12_26_9': 0.23711753893261855}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 18.6200008392334, '2018-01-04': 17.420000076293945, '2018-01-05': 17.200000762939453, '2018-01-08': 17.68000030517578, '2018-01-09': 18.020000457763672, '2018-01-10': 18.59000015258789, '2018-01-11': 19.670000076293945, '2018-01-12': 19.8700008392334, '2018-01-16': 19.36000061035156}, '1_month_later': {'2018-02-02': 18.40999984741211}, '3_months_later': {'2018-04-02': 19.280000686645508}, '6_months_later': {'2018-07-02': 28.18000030517578}, '12_months_later': {'2019-01-02': 6.829999923706055}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OPCH
{'date': '2018-01-02', 'ticker': 'OPCH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.399999618530272, 'high': 12.239999771118164, 'open': 11.760000228881836, 'close': 12.239999771118164, 'ema_50': 10.45485208412212, 'rsi_14': 75.32466728222023, 'target': 12.079999923706056, 'volume': 198500.0, 'ema_200': 9.800503191532597, 'adj_close': 12.239999771118164, 'rsi_lag_1': 72.05882765429894, 'rsi_lag_2': 65.75341526217548, 'rsi_lag_3': 65.75341526217544, 'rsi_lag_4': 70.27025372552957, 'rsi_lag_5': 69.8629975923007, 'macd_lag_1': 0.42490522350024484, 'macd_lag_2': 0.40119813384675496, 'macd_lag_3': 0.3691763808581108, 'macd_lag_4': 0.35551702571452104, 'macd_lag_5': 0.32069339460938373, 'macd_12_26_9': 0.4865001315885067, 'macds_12_26_9': 0.3791481099563283}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.079999923706056, '2018-01-04': 11.84000015258789, '2018-01-05': 12.0, '2018-01-08': 11.960000038146973, '2018-01-09': 12.239999771118164, '2018-01-10': 12.199999809265137, '2018-01-11': 12.720000267028809, '2018-01-12': 12.0, '2018-01-16': 11.600000381469728}, '1_month_later': {'2018-02-02': 11.079999923706056}, '3_months_later': {'2018-04-02': 9.239999771118164}, '6_months_later': {'2018-07-02': 11.920000076293944}, '12_months_later': {'2019-01-02': 13.800000190734863}}
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.
OOMA
{'date': '2018-01-02', 'ticker': 'OOMA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.600000381469728, 'high': 12.25, 'open': 12.0, 'close': 11.699999809265137, 'ema_50': 10.94988439683414, 'rsi_14': 56.17977239134391, 'target': 11.949999809265137, 'volume': 56400.0, 'ema_200': 9.94055382963028, 'adj_close': 11.699999809265137, 'rsi_lag_1': 59.99998653637162, 'rsi_lag_2': 59.999999999999986, 'rsi_lag_3': 63.414631309715105, 'rsi_lag_4': 69.62024705224223, 'rsi_lag_5': 62.666660902236686, 'macd_lag_1': 0.4596464597554579, 'macd_lag_2': 0.48854518213584797, 'macd_lag_3': 0.5081424917570132, 'macd_lag_4': 0.5054010046682045, 'macd_lag_5': 0.46400510893212754, 'macd_12_26_9': 0.41182385436050417, 'macds_12_26_9': 0.44357929736101853}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.949999809265137, '2018-01-04': 11.949999809265137, '2018-01-05': 12.100000381469728, '2018-01-08': 12.0, '2018-01-09': 11.850000381469728, '2018-01-10': 11.75, '2018-01-11': 11.850000381469728, '2018-01-12': 11.800000190734863, '2018-01-16': 11.649999618530272}, '1_month_later': {'2018-02-02': 10.050000190734863}, '3_months_later': {'2018-04-02': 10.350000381469728}, '6_months_later': {'2018-07-02': 14.600000381469728}, '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.
ONTX
{'date': '2018-01-02', 'ticker': 'ONTX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.0, 'high': 22.799999237060547, 'open': 21.0, 'close': 22.5, 'ema_50': 24.677877643494604, 'rsi_14': 63.829794141598356, 'target': 22.799999237060547, 'volume': 8600.0, 'ema_200': 32.23559265312795, 'adj_close': 22.5, 'rsi_lag_1': 51.7241333951285, 'rsi_lag_2': 55.93219754523218, 'rsi_lag_3': 50.0, 'rsi_lag_4': 52.72727609008966, 'rsi_lag_5': 54.71697841602345, 'macd_lag_1': -0.7237076332689938, 'macd_lag_2': -0.7832323864651194, 'macd_lag_3': -0.8783605226966671, 'macd_lag_4': -0.9259117097915599, 'macd_lag_5': -1.0647728339733362, 'macd_12_26_9': -0.6688240501863412, 'macds_12_26_9': -1.0172752569338273}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.799999237060547, '2018-01-04': 23.700000762939453, '2018-01-05': 25.350000381469727, '2018-01-08': 25.200000762939453, '2018-01-09': 25.049999237060547, '2018-01-10': 25.5, '2018-01-11': 27.14999961853028, '2018-01-12': 27.450000762939453, '2018-01-16': 26.100000381469727}, '1_month_later': {'2018-02-02': 20.39999961853028}, '3_months_later': {'2018-04-02': 12.600000381469728}, '6_months_later': {'2018-07-02': 6.0}, '12_months_later': {'2019-01-02': 2.430000066757202}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
ONEV
{'date': '2018-01-02', 'ticker': 'ONEV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 72.5999984741211, 'high': 72.72000122070312, 'open': 72.5999984741211, 'close': 72.64099884033203, 'ema_50': 73.49766850916492, 'rsi_14': 16.14150004473072, 'target': 72.91000366210938, 'volume': 2600.0, 'ema_200': 71.25997891346401, 'adj_close': 68.82034301757812, 'rsi_lag_1': 14.80811476152951, 'rsi_lag_2': 22.956516431725547, 'rsi_lag_3': 20.75139246587588, 'rsi_lag_4': 20.104034717025044, 'rsi_lag_5': 16.319776187668978, 'macd_lag_1': -0.5135585404467662, 'macd_lag_2': -0.4925005030277987, 'macd_lag_3': -0.4818776697477034, 'macd_lag_4': -0.43076417662216215, 'macd_lag_5': -0.36435033173367515, 'macd_12_26_9': -0.5185407343333992, 'macds_12_26_9': -0.2869727526774591}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 72.91000366210938, '2018-01-04': 73.12999725341797, '2018-01-05': 73.12999725341797, '2018-01-08': 73.12999725341797, '2018-01-09': 73.72000122070312, '2018-01-10': 73.43199920654297, '2018-01-11': 73.58000183105469, '2018-01-12': 74.36000061035156, '2018-01-16': 73.9000015258789}, '1_month_later': {'2018-02-02': 73.62999725341797}, '3_months_later': {'2018-04-02': 70.0199966430664}, '6_months_later': {'2018-07-02': 72.77400207519531}, '12_months_later': {'2019-01-02': 66.99700164794922}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
oneq
{'date': '2018-01-02', 'ticker': 'oneq', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.183000564575195, 'high': 27.5, 'open': 27.28300094604492, 'close': 27.5, 'ema_50': 26.78177930700357, 'rsi_14': 63.47881656283196, 'target': 27.73200035095215, 'volume': 677000.0, 'ema_200': 25.136866054876375, 'adj_close': 25.8588924407959, 'rsi_lag_1': 56.69706233288927, 'rsi_lag_2': 68.1309975944877, 'rsi_lag_3': 70.57518700751427, 'rsi_lag_4': 70.8759179979815, 'rsi_lag_5': 75.0966580863103, 'macd_lag_1': 0.14724293138553435, 'macd_lag_2': 0.16860331548723195, 'macd_lag_3': 0.1761054224745635, 'macd_lag_4': 0.18770113156142543, 'macd_lag_5': 0.20068752336880635, 'macd_12_26_9': 0.15978121149483826, 'macds_12_26_9': 0.17174236317038188}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.73200035095215, '2018-01-04': 27.795000076293945, '2018-01-05': 28.02400016784668, '2018-01-08': 28.113000869750977, '2018-01-09': 28.121999740600582, '2018-01-10': 28.07900047302246, '2018-01-11': 28.31100082397461, '2018-01-12': 28.4950008392334, '2018-01-16': 28.36100006103516}, '1_month_later': {'2018-02-02': 28.400999069213867}, '3_months_later': {'2018-04-02': 26.94099998474121}, '6_months_later': {'2018-07-02': 29.68099975585937}, '12_months_later': {'2019-01-02': 26.077999114990234}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
ONDK
{'date': '2018-01-02', 'ticker': 'ONDK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.710000038146973, 'high': 5.954999923706055, 'open': 5.809999942779541, 'close': 5.949999809265137, 'ema_50': 5.328189609593032, 'rsi_14': 67.63284111633277, 'target': 5.809999942779541, 'volume': 240600.0, 'ema_200': 4.984438989159487, 'adj_close': 5.949999809265137, 'rsi_lag_1': 63.63634740953934, 'rsi_lag_2': 67.56756199460118, 'rsi_lag_3': 64.24579963840301, 'rsi_lag_4': 62.84152151147444, 'rsi_lag_5': 62.6373591824394, 'macd_lag_1': 0.19464333297026926, 'macd_lag_2': 0.20807641019032275, 'macd_lag_3': 0.21404984018402295, 'macd_lag_4': 0.22874251381385768, 'macd_lag_5': 0.23296853072445423, 'macd_12_26_9': 0.19865282442530763, 'macds_12_26_9': 0.20300459630328446}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.809999942779541, '2018-01-04': 5.71999979019165, '2018-01-05': 5.670000076293945, '2018-01-08': 5.420000076293945, '2018-01-09': 5.25, '2018-01-10': 5.460000038146973, '2018-01-11': 5.480000019073486, '2018-01-12': 5.360000133514404, '2018-01-16': 4.940000057220459}, '1_month_later': {'2018-02-02': 4.53000020980835}, '3_months_later': {'2018-04-02': 5.139999866485596}, '6_months_later': {'2018-07-02': 7.070000171661377}, '12_months_later': {'2019-01-02': 5.909999847412109}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OPBK
{'date': '2018-01-02', 'ticker': 'OPBK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.710000038146973, 'high': 9.800000190734863, 'open': 9.779999732971191, 'close': 9.779999732971191, 'ema_50': 9.540791624134181, 'rsi_14': 55.55554083838423, 'target': 9.899999618530272, 'volume': 4200.0, 'ema_200': 8.58860531777386, 'adj_close': 9.51039981842041, 'rsi_lag_1': 47.058816929599786, 'rsi_lag_2': 43.750052153927335, 'rsi_lag_3': 33.333411824821425, 'rsi_lag_4': 28.947447673543337, 'rsi_lag_5': 30.98600251715628, 'macd_lag_1': 0.02162928589271651, 'macd_lag_2': 0.012349227955358089, 'macd_lag_3': 0.012543044492884903, 'macd_lag_4': 0.020753427367319333, 'macd_lag_5': 0.036021921985623706, 'macd_12_26_9': 0.02705802085516673, 'macds_12_26_9': 0.035426450803790366}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.899999618530272, '2018-01-04': 9.899999618530272, '2018-01-05': 9.850000381469728, '2018-01-08': 9.850000381469728, '2018-01-09': 9.850000381469728, '2018-01-10': 10.050000190734863, '2018-01-11': 10.050000190734863, '2018-01-12': 9.880000114440918, '2018-01-16': 10.0}, '1_month_later': {'2018-02-02': 10.100000381469728}, '3_months_later': {'2018-04-02': 12.300000190734863}, '6_months_later': {'2018-07-02': 13.100000381469728}, '12_months_later': {'2019-01-02': 8.979999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OPTT
{'date': '2018-01-02', 'ticker': 'OPTT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.0, 'high': 22.799999237060547, 'open': 22.200000762939453, 'close': 22.200000762939453, 'ema_50': 23.41968093482202, 'rsi_14': 45.714298948942485, 'target': 22.39999961853028, 'volume': 14400.0, 'ema_200': 32.29992721369548, 'adj_close': 22.200000762939453, 'rsi_lag_1': 42.857146749688965, 'rsi_lag_2': 42.857146749688965, 'rsi_lag_3': 41.66667770455971, 'rsi_lag_4': 38.23529329266944, 'rsi_lag_5': 43.243244636485215, 'macd_lag_1': -0.5685901127451096, 'macd_lag_2': -0.6131217554952144, 'macd_lag_3': -0.661042190343597, 'macd_lag_4': -0.7329546457352762, 'macd_lag_5': -0.752988982383954, 'macd_12_26_9': -0.5112665128318241, 'macds_12_26_9': -0.645305972836877}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.39999961853028, '2018-01-04': 22.39999961853028, '2018-01-05': 22.0, '2018-01-08': 21.600000381469727, '2018-01-09': 21.799999237060547, '2018-01-10': 23.0, '2018-01-11': 23.600000381469727, '2018-01-12': 22.799999237060547, '2018-01-16': 22.0}, '1_month_later': {'2018-02-02': 22.799999237060547}, '3_months_later': {'2018-04-02': 21.799999237060547}, '6_months_later': {'2018-07-02': 16.799999237060547}, '12_months_later': {'2019-01-02': 7.400000095367432}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OR
{'date': '2018-01-02', 'ticker': 'OR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.460000038146973, 'high': 11.699999809265137, 'open': 11.649999618530272, 'close': 11.539999961853027, 'ema_50': 11.803532066967469, 'rsi_14': 63.05417006677119, 'target': 11.390000343322754, 'volume': 526400.0, 'ema_200': 15.753379705286966, 'adj_close': 11.081438064575195, 'rsi_lag_1': 58.986178760672274, 'rsi_lag_2': 58.79629568308003, 'rsi_lag_3': 51.96506804817511, 'rsi_lag_4': 55.092596885106545, 'rsi_lag_5': 45.68527574752123, 'macd_lag_1': -0.12074875018624454, 'macd_lag_2': -0.1495534368176017, 'macd_lag_3': -0.18312516355085506, 'macd_lag_4': -0.21516580924321005, 'macd_lag_5': -0.28347711375819706, 'macd_12_26_9': -0.0984003997389884, 'macds_12_26_9': -0.20512125700940917}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.390000343322754, '2018-01-04': 11.550000190734863, '2018-01-05': 11.449999809265137, '2018-01-08': 11.260000228881836, '2018-01-09': 11.210000038146973, '2018-01-10': 11.3100004196167, '2018-01-11': 11.43000030517578, '2018-01-12': 11.90999984741211, '2018-01-16': 11.989999771118164}, '1_month_later': {'2018-02-02': 11.010000228881836}, '3_months_later': {'2018-04-02': 9.84000015258789}, '6_months_later': {'2018-07-02': 9.479999542236328}, '12_months_later': {'2019-01-02': 8.890000343322754}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
NTN
{'date': '2018-01-02', 'ticker': 'NTN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.179999828338623, 'high': 4.210000038146973, 'open': 4.179999828338623, 'close': 4.179999828338623, 'ema_50': 4.904186006743033, 'rsi_14': 60.09614916198742, 'target': 4.170000076293945, 'volume': 1800.0, 'ema_200': 6.284209510196051, 'adj_close': 4.179999828338623, 'rsi_lag_1': 56.053811179757126, 'rsi_lag_2': 52.88461814000739, 'rsi_lag_3': 43.45794345668451, 'rsi_lag_4': 33.207547271663344, 'rsi_lag_5': 32.713755141067594, 'macd_lag_1': -0.315534890569805, 'macd_lag_2': -0.3520153291601158, 'macd_lag_3': -0.3751301561967608, 'macd_lag_4': -0.38186751929903195, 'macd_lag_5': -0.37982150368755985, 'macd_12_26_9': -0.28575069028495914, 'macds_12_26_9': -0.3623820320190777}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.170000076293945, '2018-01-04': 4.0, '2018-01-05': 4.190000057220459, '2018-01-08': 4.099999904632568, '2018-01-09': 4.449999809265137, '2018-01-10': 4.480000019073486, '2018-01-11': 4.320000171661377, '2018-01-12': 4.610000133514404, '2018-01-16': 4.909999847412109}, '1_month_later': {'2018-02-02': 5.789999961853027}, '3_months_later': {'2018-04-02': 6.159999847412109}, '6_months_later': {'2018-07-02': 4.599999904632568}, '12_months_later': {'2019-01-02': 1.9600000381469729}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OSPN
{'date': '2018-01-02', 'ticker': 'OSPN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.949999809265137, 'high': 14.25, 'open': 14.050000190734863, 'close': 14.100000381469728, 'ema_50': 13.520282626517375, 'rsi_14': 53.12500745056998, 'target': 14.0, 'volume': 175900.0, 'ema_200': 13.49666263715825, 'adj_close': 14.100000381469728, 'rsi_lag_1': 50.0, 'rsi_lag_2': 67.6470621234391, 'rsi_lag_3': 62.16214822974969, 'rsi_lag_4': 71.42856030701282, 'rsi_lag_5': 73.58489208011717, 'macd_lag_1': 0.20582714848489125, 'macd_lag_2': 0.23364430143580783, 'macd_lag_3': 0.24538692731844236, 'macd_lag_4': 0.2517146921832989, 'macd_lag_5': 0.26122074795248373, 'macd_12_26_9': 0.19764195106854565, 'macds_12_26_9': 0.23510636527569798}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.0, '2018-01-04': 14.300000190734863, '2018-01-05': 14.25, '2018-01-08': 14.279999732971191, '2018-01-09': 14.350000381469728, '2018-01-10': 14.25, '2018-01-11': 14.449999809265137, '2018-01-12': 14.350000381469728, '2018-01-16': 14.300000190734863}, '1_month_later': {'2018-02-02': 14.300000190734863}, '3_months_later': {'2018-04-02': 12.600000381469728}, '6_months_later': {'2018-07-02': 20.350000381469727}, '12_months_later': {'2019-01-02': 12.890000343322754}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OSN
{'date': '2018-01-02', 'ticker': 'OSN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.700000047683716, 'high': 2.890000104904175, 'open': 2.890000104904175, 'close': 2.7699999809265137, 'ema_50': 2.3505141794568845, 'rsi_14': 67.24137151426112, 'target': 2.75, 'volume': 19300.0, 'ema_200': 2.146197826357956, 'adj_close': 2.7699999809265137, 'rsi_lag_1': 74.2857097444109, 'rsi_lag_2': 67.99998188020095, 'rsi_lag_3': 64.04493087742779, 'rsi_lag_4': 59.25924290683227, 'rsi_lag_5': 58.22783320250503, 'macd_lag_1': 0.1294910654958712, 'macd_lag_2': 0.11414572773075937, 'macd_lag_3': 0.1030810278724128, 'macd_lag_4': 0.09865907623937309, 'macd_lag_5': 0.10074366876412366, 'macd_12_26_9': 0.1312631449403696, 'macds_12_26_9': 0.11478272614690706}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.75, '2018-01-04': 2.650000095367432, '2018-01-05': 2.7300000190734863, '2018-01-08': 2.869999885559082, '2018-01-09': 2.7699999809265137, '2018-01-10': 2.7799999713897705, '2018-01-11': 3.2300000190734863, '2018-01-12': 3.839999914169312, '2018-01-16': 4.010000228881836}, '1_month_later': {'2018-02-02': 3.609999895095825}, '3_months_later': {'2018-04-02': 2.130000114440918}, '6_months_later': {'2018-07-02': 2.680000066757202}, '12_months_later': {'2019-01-02': 1.2000000476837158}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OSIS
{'date': '2018-01-02', 'ticker': 'OSIS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/617190/7-stocks-with-negative-performances-in-gurus-portfolios', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "7 Stocks With Negative Performances in Gurus' Portfolios", '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': 63.41999816894531, 'high': 65.83000183105469, 'open': 64.8499984741211, 'close': 65.12000274658203, 'ema_50': 76.65082058871042, 'rsi_14': 43.25438356637972, 'target': 65.6500015258789, 'volume': 173700.0, 'ema_200': 79.42156377083435, 'adj_close': 65.12000274658203, 'rsi_lag_1': 31.569311689767204, 'rsi_lag_2': 49.29006325852324, 'rsi_lag_3': 62.205978333372215, 'rsi_lag_4': 27.4256661129682, 'rsi_lag_5': 28.818362661867297, 'macd_lag_1': -5.150952101271372, 'macd_lag_2': -5.351940227819526, 'macd_lag_3': -5.483791490153678, 'macd_lag_4': -5.5998087510539705, 'macd_lag_5': -5.695964566350511, 'macd_12_26_9': -4.875750685275861, 'macds_12_26_9': -5.385825632432356}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 65.6500015258789, '2018-01-04': 66.20999908447266, '2018-01-05': 66.68000030517578, '2018-01-08': 66.20999908447266, '2018-01-09': 64.77999877929688, '2018-01-10': 67.20999908447266, '2018-01-11': 67.48999786376953, '2018-01-12': 67.68000030517578, '2018-01-16': 71.66999816894531}, '1_month_later': {'2018-02-02': 54.59999847412109}, '3_months_later': {'2018-04-02': 62.0}, '6_months_later': {'2018-07-02': 77.93000030517578}, '12_months_later': {'2019-01-02': 71.9000015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OSG
{'date': '2018-01-02', 'ticker': 'OSG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.694999933242798, 'high': 2.8399999141693115, 'open': 2.740000009536743, 'close': 2.7699999809265137, 'ema_50': 2.606211536632282, 'rsi_14': 56.41026268030666, 'target': 2.799999952316284, 'volume': 329000.0, 'ema_200': 3.313149570668979, 'adj_close': 2.7699999809265137, 'rsi_lag_1': 58.19672627719608, 'rsi_lag_2': 61.2068999182183, 'rsi_lag_3': 59.821432942944085, 'rsi_lag_4': 44.96644617474871, 'rsi_lag_5': 38.775501267105916, 'macd_lag_1': 0.014915574316483049, 'macd_lag_2': 0.0039882316095236625, 'macd_lag_3': -0.017144307835491812, 'macd_lag_4': -0.03368593250511509, 'macd_lag_5': -0.054309083519723966, 'macd_12_26_9': 0.02570006476110276, 'macds_12_26_9': -0.010966440610795372}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.799999952316284, '2018-01-04': 2.859999895095825, '2018-01-05': 2.809999942779541, '2018-01-08': 2.869999885559082, '2018-01-09': 2.8499999046325684, '2018-01-10': 2.930000066757202, '2018-01-11': 2.930000066757202, '2018-01-12': 2.740000009536743, '2018-01-16': 2.609999895095825}, '1_month_later': {'2018-02-02': 2.0799999237060547}, '3_months_later': {'2018-04-02': 2.9200000762939453}, '6_months_later': {'2018-07-02': 3.940000057220459}, '12_months_later': {'2019-01-02': 1.6799999475479126}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.