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MMT
{'date': '2018-01-02', 'ticker': 'MMT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.070000171661377, 'high': 6.150000095367432, 'open': 6.079999923706055, 'close': 6.150000095367432, 'ema_50': 6.108684329443257, 'rsi_14': 57.14284092392754, 'target': 6.130000114440918, 'volume': 183100.0, 'ema_200': 6.135434987540275, 'adj_close': 4.931651592254639, 'rsi_lag_1': 45.714328532269576, 'rsi_lag_2': 38.88891832323146, 'rsi_lag_3': 37.83784480403326, 'rsi_lag_4': 45.945991226216194, 'rsi_lag_5': 47.36842765701408, 'macd_lag_1': -0.012689864122466865, 'macd_lag_2': -0.01350281118324137, 'macd_lag_3': -0.012307661029262285, 'macd_lag_4': -0.01162135088048899, 'macd_lag_5': -0.013630898549187087, 'macd_12_26_9': -0.005526565655310733, 'macds_12_26_9': -0.010838127357659016}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 6.130000114440918, '2018-01-04': 6.139999866485596, '2018-01-05': 6.099999904632568, '2018-01-08': 6.090000152587891, '2018-01-09': 6.099999904632568, '2018-01-10': 6.039999961853027, '2018-01-11': 6.059999942779541, '2018-01-12': 6.059999942779541, '2018-01-16': 6.059999942779541}, '1_month_later': {'2018-02-02': 5.889999866485596}, '3_months_later': {'2018-04-02': 5.760000228881836}, '6_months_later': {'2018-07-02': 5.639999866485596}, '12_months_later': {'2019-01-02': 5.230000019073486}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MMSI
{'date': '2018-01-02', 'ticker': 'MMSI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 42.900001525878906, 'high': 44.150001525878906, 'open': 42.95000076293945, 'close': 43.54999923706055, 'ema_50': 42.4227735804646, 'rsi_14': 51.72414473489502, 'target': 45.0, 'volume': 301400.0, 'ema_200': 38.10200507518419, 'adj_close': 43.54999923706055, 'rsi_lag_1': 49.09092296253551, 'rsi_lag_2': 50.0, 'rsi_lag_3': 51.78572036781841, 'rsi_lag_4': 45.0450512372337, 'rsi_lag_5': 43.7499957425271, 'macd_lag_1': 0.3986802705409218, 'macd_lag_2': 0.4573304471051287, 'macd_lag_3': 0.45935573536888086, 'macd_lag_4': 0.49598624137683345, 'macd_lag_5': 0.5762531699873534, 'macd_12_26_9': 0.3761060187975218, 'macds_12_26_9': 0.5360575561840599}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 45.0, '2018-01-04': 45.150001525878906, '2018-01-05': 44.70000076293945, '2018-01-08': 45.34999847412109, '2018-01-09': 44.75, '2018-01-10': 44.09999847412109, '2018-01-11': 44.45000076293945, '2018-01-12': 45.29999923706055, '2018-01-16': 45.5}, '1_month_later': {'2018-02-02': 45.0}, '3_months_later': {'2018-04-02': 44.75}, '6_months_later': {'2018-07-02': 53.29999923706055}, '12_months_later': {'2019-01-02': 53.20000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MNDO
{'date': '2018-01-02', 'ticker': 'MNDO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.720000028610229, 'high': 2.819999933242798, 'open': 2.7799999713897705, 'close': 2.75, 'ema_50': 2.698296376596303, 'rsi_14': 61.76470588235294, 'target': 2.720000028610229, 'volume': 30200.0, 'ema_200': 2.578131446516107, 'adj_close': 1.924970388412476, 'rsi_lag_1': 61.76470588235294, 'rsi_lag_2': 70.73172433684721, 'rsi_lag_3': 65.85364009850755, 'rsi_lag_4': 74.35896025137855, 'rsi_lag_5': 70.73165909446422, 'macd_lag_1': 0.03125653677226836, 'macd_lag_2': 0.0326444614216852, 'macd_lag_3': 0.03292294859727596, 'macd_lag_4': 0.034835881943405145, 'macd_lag_5': 0.03269805337916143, 'macd_12_26_9': 0.028217491496994374, 'macds_12_26_9': 0.025634701351089605}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.720000028610229, '2018-01-04': 2.740000009536743, '2018-01-05': 2.7100000381469727, '2018-01-08': 2.700000047683716, '2018-01-09': 2.690000057220459, '2018-01-10': 2.700000047683716, '2018-01-11': 2.690000057220459, '2018-01-12': 2.690000057220459, '2018-01-16': 2.680000066757202}, '1_month_later': {'2018-02-02': 2.7699999809265137}, '3_months_later': {'2018-04-02': 2.200000047683716}, '6_months_later': {'2018-07-02': 2.1600000858306885}, '12_months_later': {'2019-01-02': 2.299999952316284}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MS
{'date': '2018-01-02', 'ticker': 'MS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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-morgan-stanley-kraft-heinz-lockheed-martin-hersheys-and', '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 Morgan StanleyMS , Kraft HeinzKHC , Lockheed MartinLMT , Hershey\'sHSY and Discovery FinancialDFS .\nToday, Zacks is promoting its \'\'Buy\'\' stock recommendations. Get #1Stock of the Day pick for free.\nHere are highlights from Friday\'s Analyst Blog:\nTop Stock Reports for Morgan Stanley, Kraft Heinz and Lockheed Martin\nThe Zacks Research Daily presents the best research output of our analyst team. Today\'s Research Daily features new research reports on 16 major stocks, including Morgan Stanley, Kraft Heinz and Lockheed Martin. These research reports have been hand-picked from the roughly 70 reports published by our analyst team today.\nYou can see all of today\'s research reports here >>>\nMorgan Stanley \'s shares have outperformed the Zacks Investment Banking industry, over the last twelve months (+24.6% vs. +20.3%). The performance was supported by the company\'s impressive earnings surprise history, having surpassed expectations in all the trailing four quarters.\nThe Zacks analyst likes the company\'s efforts to lower balance sheet risk, strengthen wealth management operations and reduce costs (Project Streamline) and believes these initiatives will continue to support profitability. Given a solid capital position, it will likely enhance shareholder value through efficient capital deployment activities.\nHowever, continued fall in net interest income despite rise in interest rates remains a matter of concern. Also, overall trading woes are expected to hurt the company\'s bottom-line growth in the near term.\n(You can read the full research report on Morgan Stanley here >>> ).\nShares of Kraft Heinz have declined -10.8% year to date, underperforming the Zacks Diversified Food industry which is down -4.7% during the same period, owing to continued softness in sales. However, Kraft Heinz\'s cost savings have led to better profits amid a soft sales environment.\nThe company expects between $1.7 billion and $1.8 billion of cumulative Integration Program savings by the end of 2017, primarily focused on work-force reductions, factory closures and consolidations. Also, with growing awareness of the nutritional value of food products, the company is emphasizing on organic ingredients, reshaping its existing products and expanding into new categories.\nHowever, the trend in current quarter and year earnings estimate revisions is not satisfactory as it has remained stable over the past 30 days.\n(You can read the full research report on Kraft Heinz here >>> ).\nLockheed Martin \'s shares have gained +28.9% over the past year, underperforming the Zacks Aerospace Defense sector, which has gained +45.3% over the same period. However, the Zacks analyst emphasizes that being the largest defense contractor in the world, Lockheed Martin witnesses strong demand for its high-end military equipment in both domestic as well as overseas markets.\nStrong order growth has been a primary growth driver for this company. The latest $7 billion deal for the sustainment of F-22 air vehicle is one such order. An encouraging defense budget proposed by Trump government further buoys optimism for the stock\'s growth.\nHowever, the F-35 program, despite being a prime defense project for the U.S. government, has been facing criticism for being overtly expensive for the past few years. Moreover, the company\'s limited commercial exposure and almost complete government dependence may prove fatal in maintaining its margins and bottom line.\n(You can read the full research report on Lockheed Martin here >>> ).\nOther noteworthy reports we are featuring today include Hershey\'s and Discovery Financial.\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\[email protected]\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\nLockheed Martin Corporation (LMT): Free Stock Analysis Report\nDiscover Financial Services (DFS): Free Stock Analysis Report\nMorgan Stanley (MS): Free Stock Analysis Report\nHershey Company (The) (HSY): Free Stock Analysis Report\nThe Kraft Heinz Company (KHC): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Stocks recently featured in the blog include Morgan StanleyMS , Kraft HeinzKHC , Lockheed MartinLMT , Hershey'sHSY and Discovery FinancialDFS . Click to get this free report Lockheed Martin Corporation (LMT): Free Stock Analysis Report Discover Financial Services (DFS): Free Stock Analysis Report Morgan Stanley (MS): Free Stock Analysis Report Hershey Company (The) (HSY): Free Stock Analysis Report The Kraft Heinz Company (KHC): Free Stock Analysis Report To read this article on Zacks.com click here. The Zacks analyst likes the company's efforts to lower balance sheet risk, strengthen wealth management operations and reduce costs (Project Streamline) and believes these initiatives will continue to support profitability.", 'news_luhn_summary': "Click to get this free report Lockheed Martin Corporation (LMT): Free Stock Analysis Report Discover Financial Services (DFS): Free Stock Analysis Report Morgan Stanley (MS): Free Stock Analysis Report Hershey Company (The) (HSY): Free Stock Analysis Report The Kraft Heinz Company (KHC): Free Stock Analysis Report To read this article on Zacks.com click here. Stocks recently featured in the blog include Morgan StanleyMS , Kraft HeinzKHC , Lockheed MartinLMT , Hershey'sHSY and Discovery FinancialDFS . Here are highlights from Friday's Analyst Blog: Top Stock Reports for Morgan Stanley, Kraft Heinz and Lockheed Martin The Zacks Research Daily presents the best research output of our analyst team.", 'news_article_title': "The Zacks Analyst Blog Highlights: Morgan Stanley, Kraft Heinz, Lockheed Martin, Hershey's and Discovery Financial", 'news_lexrank_summary': "Stocks recently featured in the blog include Morgan StanleyMS , Kraft HeinzKHC , Lockheed MartinLMT , Hershey'sHSY and Discovery FinancialDFS . Click to get this free report Lockheed Martin Corporation (LMT): Free Stock Analysis Report Discover Financial Services (DFS): Free Stock Analysis Report Morgan Stanley (MS): Free Stock Analysis Report Hershey Company (The) (HSY): Free Stock Analysis Report The Kraft Heinz Company (KHC): Free Stock Analysis Report To read this article on Zacks.com click here. Here are highlights from Friday's Analyst Blog: Top Stock Reports for Morgan Stanley, Kraft Heinz and Lockheed Martin The Zacks Research Daily presents the best research output of our analyst team.", 'news_textrank_summary': "Click to get this free report Lockheed Martin Corporation (LMT): Free Stock Analysis Report Discover Financial Services (DFS): Free Stock Analysis Report Morgan Stanley (MS): Free Stock Analysis Report Hershey Company (The) (HSY): Free Stock Analysis Report The Kraft Heinz Company (KHC): Free Stock Analysis Report To read this article on Zacks.com click here. Stocks recently featured in the blog include Morgan StanleyMS , Kraft HeinzKHC , Lockheed MartinLMT , Hershey'sHSY and Discovery FinancialDFS . Here are highlights from Friday's Analyst Blog: Top Stock Reports for Morgan Stanley, Kraft Heinz and Lockheed Martin The Zacks Research Daily presents the best research output of our analyst team."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.16999816894531, 'high': 52.790000915527344, 'open': 52.7599983215332, 'close': 52.18999862670898, 'ema_50': 51.09616921481448, 'rsi_14': 44.2460233362195, 'target': 52.33000183105469, 'volume': 6644600.0, 'ema_200': 46.92240882757944, 'adj_close': 49.29410934448242, 'rsi_lag_1': 45.69674437801735, 'rsi_lag_2': 52.86262153874833, 'rsi_lag_3': 57.56014207444692, 'rsi_lag_4': 53.80796803740927, 'rsi_lag_5': 50.309604287573556, 'macd_lag_1': 0.5573493378174632, 'macd_lag_2': 0.6135109097144067, 'macd_lag_3': 0.6579423989945852, 'macd_lag_4': 0.7132287059432869, 'macd_lag_5': 0.783601564818234, 'macd_12_26_9': 0.48466015760445913, 'macds_12_26_9': 0.6725450208265333}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 52.33000183105469, '2018-01-04': 53.130001068115234, '2018-01-05': 53.11000061035156, '2018-01-08': 52.88999938964844, '2018-01-09': 53.29999923706055, '2018-01-10': 53.93000030517578, '2018-01-11': 54.20000076293945, '2018-01-12': 55.119998931884766, '2018-01-16': 54.59999847412109}, '1_month_later': {'2018-02-02': 55.47999954223633}, '3_months_later': {'2018-04-02': 52.720001220703125}, '6_months_later': {'2018-07-02': 47.720001220703125}, '12_months_later': {'2019-01-02': 40.400001525878906}}
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.
MSB
{'date': '2018-01-02', 'ticker': 'MSB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.100000381469727, 'high': 27.0, 'open': 25.100000381469727, 'close': 26.950000762939453, 'ema_50': 23.610462202211245, 'rsi_14': 72.60274402105091, 'target': 26.950000762939453, 'volume': 182900.0, 'ema_200': 18.760917083062658, 'adj_close': 20.117525100708008, 'rsi_lag_1': 68.74999813735485, 'rsi_lag_2': 72.95081915954074, 'rsi_lag_3': 72.95081915954077, 'rsi_lag_4': 76.72415352321984, 'rsi_lag_5': 75.00001766064298, 'macd_lag_1': 0.7394717666704587, 'macd_lag_2': 0.8148597086716194, 'macd_lag_3': 0.8635932291318618, 'macd_lag_4': 0.9234154234815719, 'macd_lag_5': 0.904884137951985, 'macd_12_26_9': 0.8155699459481163, 'macds_12_26_9': 0.8015950816755952}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.950000762939453, '2018-01-04': 27.700000762939453, '2018-01-05': 27.700000762939453, '2018-01-08': 27.39999961853028, '2018-01-09': 28.14999961853028, '2018-01-10': 27.700000762939453, '2018-01-11': 28.64999961853028, '2018-01-12': 28.75, '2018-01-16': 28.950000762939453}, '1_month_later': {'2018-02-02': 24.64999961853028}, '3_months_later': {'2018-04-02': 25.299999237060547}, '6_months_later': {'2018-07-02': 24.39999961853028}, '12_months_later': {'2019-01-02': 24.549999237060547}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MWA
{'date': '2018-01-02', 'ticker': 'MWA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, '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': 12.760000228881836, 'open': 12.649999618530272, 'close': 12.5600004196167, 'ema_50': 12.368336546553367, 'rsi_14': 56.701021805665206, 'target': 12.5600004196167, 'volume': 745500.0, 'ema_200': 12.102874763856116, 'adj_close': 11.970654487609863, 'rsi_lag_1': 54.59181116507141, 'rsi_lag_2': 58.793963587917624, 'rsi_lag_3': 60.19416037443234, 'rsi_lag_4': 58.29383800572929, 'rsi_lag_5': 50.220269129132404, 'macd_lag_1': 0.0928544592367313, 'macd_lag_2': 0.10222950278399878, 'macd_lag_3': 0.10558115411489588, 'macd_lag_4': 0.10934155923990119, 'macd_lag_5': 0.1135689860421163, 'macd_12_26_9': 0.08684438634108638, 'macds_12_26_9': 0.09718580883847593}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.5600004196167, '2018-01-04': 12.600000381469728, '2018-01-05': 12.59000015258789, '2018-01-08': 12.649999618530272, '2018-01-09': 12.550000190734863, '2018-01-10': 12.239999771118164, '2018-01-11': 12.470000267028809, '2018-01-12': 12.65999984741211, '2018-01-16': 12.5}, '1_month_later': {'2018-02-02': 11.350000381469728}, '3_months_later': {'2018-04-02': 10.149999618530272}, '6_months_later': {'2018-07-02': 11.770000457763672}, '12_months_later': {'2019-01-02': 9.15999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MVV
{'date': '2018-01-02', 'ticker': 'MVV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 41.11666488647461, 'high': 41.74333190917969, 'open': 41.33000183105469, 'close': 41.70333480834961, 'ema_50': 39.54167475282887, 'rsi_14': 62.894016515267104, 'target': 41.88666534423828, 'volume': 706800.0, 'ema_200': 36.062953973321214, 'adj_close': 41.01206588745117, 'rsi_lag_1': 55.306808778762154, 'rsi_lag_2': 64.17393865753537, 'rsi_lag_3': 66.93424690246798, 'rsi_lag_4': 61.9153697539392, 'rsi_lag_5': 55.23181126781701, 'macd_lag_1': 0.5514935275201651, 'macd_lag_2': 0.588846774364626, 'macd_lag_3': 0.5848551399755024, 'macd_lag_4': 0.5973864690699173, 'macd_lag_5': 0.603673733189666, 'macd_12_26_9': 0.5720498170970387, 'macds_12_26_9': 0.5826890925154198}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 41.88666534423828, '2018-01-04': 42.143333435058594, '2018-01-05': 42.46333312988281, '2018-01-08': 42.90666580200195, '2018-01-09': 42.77333450317383, '2018-01-10': 42.37333297729492, '2018-01-11': 43.56666564941406, '2018-01-12': 43.776668548583984, '2018-01-16': 43.16999816894531}, '1_month_later': {'2018-02-02': 41.58333206176758}, '3_months_later': {'2018-04-02': 37.84333419799805}, '6_months_later': {'2018-07-02': 42.65999984741211}, '12_months_later': {'2019-01-02': 30.100000381469727}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MVIS
{'date': '2018-01-02', 'ticker': 'MVIS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.6100000143051147, 'high': 1.690000057220459, 'open': 1.6299999952316284, 'close': 1.6399999856948853, 'ema_50': 1.791740558582156, 'rsi_14': 59.37499708961797, 'target': 1.6399999856948853, 'volume': 612300.0, 'ema_200': 2.014048570709318, 'adj_close': 1.6399999856948853, 'rsi_lag_1': 56.92307720522901, 'rsi_lag_2': 61.90475559739443, 'rsi_lag_3': 71.4285653464668, 'rsi_lag_4': 68.62744823046746, 'rsi_lag_5': 61.99999761581479, 'macd_lag_1': -0.012660925000756329, 'macd_lag_2': -0.009570719498308344, 'macd_lag_3': -0.00956000648933486, 'macd_lag_4': -0.017552737069417068, 'macd_lag_5': -0.021389970114886525, 'macd_12_26_9': -0.014140022095340266, 'macds_12_26_9': -0.02562503678637924}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.6399999856948853, '2018-01-04': 1.6799999475479126, '2018-01-05': 1.7799999713897705, '2018-01-08': 1.6100000143051147, '2018-01-09': 1.5499999523162842, '2018-01-10': 1.4800000190734863, '2018-01-11': 1.4500000476837158, '2018-01-12': 1.4700000286102295, '2018-01-16': 1.4900000095367432}, '1_month_later': {'2018-02-02': 1.2400000095367432}, '3_months_later': {'2018-04-02': 1.0299999713897705}, '6_months_later': {'2018-07-02': 1.090000033378601}, '12_months_later': {'2019-01-02': 0.699999988079071}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MVCD
{'date': '2018-01-02', 'ticker': 'MVCD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.520000457763672, 'high': 26.13999938964844, 'open': 26.13999938964844, 'close': 25.600000381469727, 'ema_50': 25.445119413995172, 'rsi_14': 55.707825193294475, 'target': 25.732999801635746, 'volume': 9200.0, 'ema_200': 25.257311667488818, 'adj_close': 22.212282180786133, 'rsi_lag_1': 76.72982569786741, 'rsi_lag_2': 66.1598488612004, 'rsi_lag_3': 75.81542161430859, 'rsi_lag_4': 65.95738444854733, 'rsi_lag_5': 59.61543164089542, 'macd_lag_1': 0.11235192039554676, 'macd_lag_2': 0.10390037752205927, 'macd_lag_3': 0.1058563406183275, 'macd_lag_4': 0.10681313219766508, 'macd_lag_5': 0.10546268969812189, 'macd_12_26_9': 0.09854785491781826, 'macds_12_26_9': 0.09916150960242057}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.732999801635746, '2018-01-04': 25.479999542236328, '2018-01-05': 25.61599922180176, '2018-01-08': 25.600000381469727, '2018-01-09': 25.450000762939453, '2018-01-10': 25.88999938964844, '2018-01-11': 25.670000076293945, '2018-01-12': 25.700000762939453, '2018-01-16': 25.59000015258789}, '1_month_later': {'2018-02-02': 25.51000022888184}, '3_months_later': {'2018-04-02': 25.26000022888184}, '6_months_later': {'2018-07-02': 25.40900039672852}, '12_months_later': {'2019-01-02': 24.959999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MVBF
{'date': '2018-01-02', 'ticker': 'MVBF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.51000022888184, 'high': 20.0, 'open': 20.0, 'close': 20.0, 'ema_50': 18.916860362254305, 'rsi_14': 72.76063413018557, 'target': 19.89999961853028, 'volume': 5800.0, 'ema_200': 16.362277234387786, 'adj_close': 20.0, 'rsi_lag_1': 74.39942493142786, 'rsi_lag_2': 70.64565623471834, 'rsi_lag_3': 67.6005639831792, 'rsi_lag_4': 69.46512245060043, 'rsi_lag_5': 66.28490094616546, 'macd_lag_1': 0.36561930049270686, 'macd_lag_2': 0.35594306095739725, 'macd_lag_3': 0.3485971640862289, 'macd_lag_4': 0.3341506242385073, 'macd_lag_5': 0.31085121338939814, 'macd_12_26_9': 0.3610565597208719, 'macds_12_26_9': 0.3193100102929926}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.89999961853028, '2018-01-04': 19.89999961853028, '2018-01-05': 19.84000015258789, '2018-01-08': 19.84000015258789, '2018-01-09': 19.88999938964844, '2018-01-10': 20.0, '2018-01-11': 20.0, '2018-01-12': 19.8799991607666, '2018-01-16': 20.0}, '1_month_later': {'2018-02-02': 19.479999542236328}, '3_months_later': {'2018-04-02': 19.700000762939453}, '6_months_later': {'2018-07-02': 17.979999542236328}, '12_months_later': {'2019-01-02': 18.200000762939453}}
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.
MUSA
{'date': '2018-01-02', 'ticker': 'MUSA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 80.16999816894531, 'high': 81.41000366210938, 'open': 80.5, 'close': 80.68000030517578, 'ema_50': 76.77871974141709, 'rsi_14': 51.731616625060894, 'target': 80.93000030517578, 'volume': 215900.0, 'ema_200': 72.24279257223856, 'adj_close': 80.68000030517578, 'rsi_lag_1': 47.768478960613336, 'rsi_lag_2': 52.93342251906093, 'rsi_lag_3': 52.04835883299345, 'rsi_lag_4': 54.02844728017306, 'rsi_lag_5': 50.72764830939739, 'macd_lag_1': 1.1438113806843972, 'macd_lag_2': 1.1473318656970974, 'macd_lag_3': 1.0995006129744809, 'macd_lag_4': 1.082530159532297, 'macd_lag_5': 1.0094875883623757, 'macd_12_26_9': 1.1535453195842535, 'macds_12_26_9': 1.0915339766797658}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 80.93000030517578, '2018-01-04': 82.12000274658203, '2018-01-05': 83.76000213623047, '2018-01-08': 85.87000274658203, '2018-01-09': 85.73999786376953, '2018-01-10': 85.94999694824219, '2018-01-11': 85.41999816894531, '2018-01-12': 86.08999633789062, '2018-01-16': 86.0}, '1_month_later': {'2018-02-02': 75.88999938964844}, '3_months_later': {'2018-04-02': 70.44000244140625}, '6_months_later': {'2018-07-02': 74.41000366210938}, '12_months_later': {'2019-01-02': 76.25}}
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.
MUS
{'date': '2018-01-02', 'ticker': 'MUS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.380000114440918, 'high': 13.43000030517578, 'open': 13.390000343322754, 'close': 13.380000114440918, 'ema_50': 13.461303302341308, 'rsi_14': 34.328334839761155, 'target': 13.479999542236328, 'volume': 27100.0, 'ema_200': 13.597629421301335, 'adj_close': 11.83380889892578, 'rsi_lag_1': 31.081068890191958, 'rsi_lag_2': 23.86358094598178, 'rsi_lag_3': 31.95869497677755, 'rsi_lag_4': 44.06776921354836, 'rsi_lag_5': 41.07142096878162, 'macd_lag_1': -0.030031063491779975, 'macd_lag_2': -0.03091556478929469, 'macd_lag_3': -0.029558418894341187, 'macd_lag_4': -0.028414471708831712, 'macd_lag_5': -0.026541077712657568, 'macd_12_26_9': -0.028995843802938737, 'macds_12_26_9': -0.017065887743322617}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.479999542236328, '2018-01-04': 13.470000267028809, '2018-01-05': 13.43000030517578, '2018-01-08': 13.449999809265137, '2018-01-09': 13.390000343322754, '2018-01-10': 13.40999984741211, '2018-01-11': 13.710000038146973, '2018-01-12': 13.4399995803833, '2018-01-16': 13.399999618530272}, '1_month_later': {'2018-02-02': 12.5600004196167}, '3_months_later': {'2018-04-02': 12.420000076293944}, '6_months_later': {'2018-07-02': 12.489999771118164}, '12_months_later': {'2019-01-02': 11.56999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MUR
{'date': '2018-01-02', 'ticker': 'MUR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.13999938964844, 'high': 32.150001525878906, 'open': 31.309999465942383, 'close': 32.150001525878906, 'ema_50': 28.693570419045336, 'rsi_14': 72.41847836650153, 'target': 32.439998626708984, 'volume': 2186700.0, 'ema_200': 27.261732653661255, 'adj_close': 29.15064811706543, 'rsi_lag_1': 69.56520744489345, 'rsi_lag_2': 77.69110235231739, 'rsi_lag_3': 76.16100268682275, 'rsi_lag_4': 72.35293012177016, 'rsi_lag_5': 68.77075864603644, 'macd_lag_1': 0.9176674275883556, 'macd_lag_2': 0.9251304204542166, 'macd_lag_3': 0.8601085227558336, 'macd_lag_4': 0.7707153040766741, 'macd_lag_5': 0.60569761722995, 'macd_12_26_9': 0.9891120752762497, 'macds_12_26_9': 0.7417455543071995}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.439998626708984, '2018-01-04': 32.779998779296875, '2018-01-05': 33.04999923706055, '2018-01-08': 33.31999969482422, '2018-01-09': 33.66999816894531, '2018-01-10': 33.66999816894531, '2018-01-11': 34.27000045776367, '2018-01-12': 34.61000061035156, '2018-01-16': 34.06999969482422}, '1_month_later': {'2018-02-02': 29.489999771118164}, '3_months_later': {'2018-04-02': 25.13999938964844}, '6_months_later': {'2018-07-02': 33.040000915527344}, '12_months_later': {'2019-01-02': 24.06999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MUJ
{'date': '2018-01-02', 'ticker': 'MUJ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.420000076293944, 'high': 14.510000228881836, 'open': 14.420000076293944, 'close': 14.5, 'ema_50': 14.394564056078735, 'rsi_14': 60.65575308263671, 'target': 14.640000343322754, 'volume': 98900.0, 'ema_200': 14.509131644940812, 'adj_close': 12.843225479125977, 'rsi_lag_1': 52.30774648093971, 'rsi_lag_2': 46.77419602932995, 'rsi_lag_3': 43.103453945745784, 'rsi_lag_4': 52.17389501559755, 'rsi_lag_5': 59.25928978379861, 'macd_lag_1': 0.00986877974783873, 'macd_lag_2': 0.00015261678392519684, 'macd_lag_3': -0.007160031677507561, 'macd_lag_4': -0.010280350710180741, 'macd_lag_5': -0.011058961817219881, 'macd_12_26_9': 0.019761834503619014, 'macds_12_26_9': -9.072497662296745e-05}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.640000343322754, '2018-01-04': 14.56999969482422, '2018-01-05': 14.550000190734863, '2018-01-08': 14.34000015258789, '2018-01-09': 14.170000076293944, '2018-01-10': 14.210000038146973, '2018-01-11': 14.1899995803833, '2018-01-12': 14.079999923706056, '2018-01-16': 14.06999969482422}, '1_month_later': {'2018-02-02': 13.5600004196167}, '3_months_later': {'2018-04-02': 13.359999656677246}, '6_months_later': {'2018-07-02': 13.270000457763672}, '12_months_later': {'2019-01-02': 12.75}}
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.
MUI
{'date': '2018-01-02', 'ticker': 'MUI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.880000114440918, 'high': 13.9399995803833, 'open': 13.9399995803833, 'close': 13.890000343322754, 'ema_50': 13.993546756411106, 'rsi_14': 39.18919615540257, 'target': 14.020000457763672, 'volume': 74700.0, 'ema_200': 14.108896800045443, 'adj_close': 12.574481964111328, 'rsi_lag_1': 36.249986588958045, 'rsi_lag_2': 29.729775010117024, 'rsi_lag_3': 28.767146552400035, 'rsi_lag_4': 37.34937959387225, 'rsi_lag_5': 40.90909090909091, 'macd_lag_1': -0.0577120451034574, 'macd_lag_2': -0.06753566085609286, 'macd_lag_3': -0.071964588240359, 'macd_lag_4': -0.07555254733208372, 'macd_lag_5': -0.07699673145748243, 'macd_12_26_9': -0.05175093402312747, 'macds_12_26_9': -0.05923016342094835}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.020000457763672, '2018-01-04': 14.010000228881836, '2018-01-05': 14.050000190734863, '2018-01-08': 14.0, '2018-01-09': 13.960000038146973, '2018-01-10': 13.899999618530272, '2018-01-11': 13.859999656677246, '2018-01-12': 13.789999961853027, '2018-01-16': 13.779999732971191}, '1_month_later': {'2018-02-02': 13.43000030517578}, '3_months_later': {'2018-04-02': 13.079999923706056}, '6_months_later': {'2018-07-02': 13.25}, '12_months_later': {'2019-01-02': 12.8100004196167}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MUE
{'date': '2018-01-02', 'ticker': 'MUE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.859999656677246, 'high': 13.989999771118164, 'open': 13.979999542236328, 'close': 13.859999656677246, 'ema_50': 13.89675524588876, 'rsi_14': 38.46150460330845, 'target': 13.970000267028809, 'volume': 62500.0, 'ema_200': 13.849010632277679, 'adj_close': 12.281015396118164, 'rsi_lag_1': 37.3134285868824, 'rsi_lag_2': 38.46150460330845, 'rsi_lag_3': 43.076907276392554, 'rsi_lag_4': 54.87804594385872, 'rsi_lag_5': 59.25924181664485, 'macd_lag_1': 0.010780538767493297, 'macd_lag_2': 0.01144111759428057, 'macd_lag_3': 0.009063321865667717, 'macd_lag_4': 0.002841944359195381, 'macd_lag_5': 0.0009690006030460552, 'macd_12_26_9': 0.006151516907058507, 'macds_12_26_9': 0.007556501547008805}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.970000267028809, '2018-01-04': 13.890000343322754, '2018-01-05': 13.920000076293944, '2018-01-08': 13.9399995803833, '2018-01-09': 13.869999885559082, '2018-01-10': 13.760000228881836, '2018-01-11': 13.789999961853027, '2018-01-12': 13.710000038146973, '2018-01-16': 13.65999984741211}, '1_month_later': {'2018-02-02': 12.829999923706056}, '3_months_later': {'2018-04-02': 12.260000228881836}, '6_months_later': {'2018-07-02': 12.220000267028809}, '12_months_later': {'2019-01-02': 11.710000038146973}}
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.
MUC
{'date': '2018-01-02', 'ticker': 'MUC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.140000343322754, 'high': 14.25, 'open': 14.18000030517578, 'close': 14.25, 'ema_50': 14.59166584608825, 'rsi_14': 18.749970197649475, 'target': 14.300000190734863, 'volume': 125100.0, 'ema_200': 14.673175257397642, 'adj_close': 12.84062385559082, 'rsi_lag_1': 16.666585155914078, 'rsi_lag_2': 16.249929964392408, 'rsi_lag_3': 19.999904632363993, 'rsi_lag_4': 25.609713548027145, 'rsi_lag_5': 36.66664547385036, 'macd_lag_1': -0.1329452125128956, 'macd_lag_2': -0.12742914477064637, 'macd_lag_3': -0.12362605016688555, 'macd_lag_4': -0.12002823968181708, 'macd_lag_5': -0.11674487527122679, 'macd_12_26_9': -0.1317632536481934, 'macds_12_26_9': -0.11382301749215754}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.300000190734863, '2018-01-04': 14.31999969482422, '2018-01-05': 14.350000381469728, '2018-01-08': 14.359999656677246, '2018-01-09': 14.270000457763672, '2018-01-10': 14.229999542236328, '2018-01-11': 14.220000267028809, '2018-01-12': 14.100000381469728, '2018-01-16': 14.029999732971191}, '1_month_later': {'2018-02-02': 13.460000038146973}, '3_months_later': {'2018-04-02': 13.220000267028809}, '6_months_later': {'2018-07-02': 13.220000267028809}, '12_months_later': {'2019-01-02': 12.600000381469728}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MXC
{'date': '2018-01-02', 'ticker': 'MXC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.050000190734863, 'high': 4.5, 'open': 4.050000190734863, 'close': 4.320000171661377, 'ema_50': 4.202147254994562, 'rsi_14': 58.2781418264623, 'target': 5.039999961853027, 'volume': 89300.0, 'ema_200': 4.328342171403125, 'adj_close': 4.320000171661377, 'rsi_lag_1': 43.74999866953989, 'rsi_lag_2': 45.45454545454546, 'rsi_lag_3': 46.226420186938086, 'rsi_lag_4': 41.88034327368525, 'rsi_lag_5': 40.16393026143558, 'macd_lag_1': -0.049235795876685806, 'macd_lag_2': -0.03888488338007967, 'macd_lag_3': -0.0314204877250992, 'macd_lag_4': -0.034468884401261946, 'macd_lag_5': -0.04600382825398075, 'macd_12_26_9': -0.02567327398421515, 'macds_12_26_9': -0.044598212894600385}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.039999961853027, '2018-01-04': 4.940000057220459, '2018-01-05': 4.599999904632568, '2018-01-08': 4.309999942779541, '2018-01-09': 4.309999942779541, '2018-01-10': 4.322000026702881, '2018-01-11': 4.559999942779541, '2018-01-12': 4.583000183105469, '2018-01-16': 4.510000228881836}, '1_month_later': {'2018-02-02': 3.930000066757202}, '3_months_later': {'2018-04-02': 3.1459999084472656}, '6_months_later': {'2018-07-02': 8.25}, '12_months_later': {'2019-01-02': 2.799999952316284}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MXE
{'date': '2018-01-02', 'ticker': 'MXE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.270000457763672, 'high': 10.420000076293944, 'open': 10.270000457763672, 'close': 10.369999885559082, 'ema_50': 10.566346737274952, 'rsi_14': 45.13275083151245, 'target': 10.40999984741211, 'volume': 14700.0, 'ema_200': 10.906454390211842, 'adj_close': 10.26287841796875, 'rsi_lag_1': 38.09522944512455, 'rsi_lag_2': 34.34345769634618, 'rsi_lag_3': 33.33336449917576, 'rsi_lag_4': 33.33333333333327, 'rsi_lag_5': 31.481497833922845, 'macd_lag_1': -0.1061561866820444, 'macd_lag_2': -0.11243244537423003, 'macd_lag_3': -0.10251695916303127, 'macd_lag_4': -0.09244276074521807, 'macd_lag_5': -0.08536703989956251, 'macd_12_26_9': -0.09125423148534573, 'macds_12_26_9': -0.09261367241143012}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.40999984741211, '2018-01-04': 10.520000457763672, '2018-01-05': 10.539999961853027, '2018-01-08': 10.649999618530272, '2018-01-09': 10.5600004196167, '2018-01-10': 10.510000228881836, '2018-01-11': 10.460000038146973, '2018-01-12': 10.609999656677246, '2018-01-16': 10.789999961853027}, '1_month_later': {'2018-02-02': 11.199999809265137}, '3_months_later': {'2018-04-02': 10.770000457763672}, '6_months_later': {'2018-07-02': 10.15999984741211}, '12_months_later': {'2019-01-02': 10.289999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MYT
{'date': '2018-01-02', 'ticker': 'MYT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.0800000429153442, 'high': 1.1299999952316284, 'open': 1.090000033378601, 'close': 1.1200000047683716, 'ema_50': 1.097295252118573, 'rsi_14': 59.745753615358986, 'target': 1.159999966621399, 'volume': 33100.0, 'ema_200': 1.3221988902127118, 'adj_close': 1.1200000047683716, 'rsi_lag_1': 60.41665347294217, 'rsi_lag_2': 65.95743952320376, 'rsi_lag_3': 59.999992052718014, 'rsi_lag_4': 64.04494698067722, 'rsi_lag_5': 56.666659602413176, 'macd_lag_1': -0.007358007192503679, 'macd_lag_2': -0.009039514296853568, 'macd_lag_3': -0.014108799653992143, 'macd_lag_4': -0.016301096715791052, 'macd_lag_5': -0.02089853193626645, 'macd_12_26_9': -0.0011704054313828038, 'macds_12_26_9': -0.017462007618309582}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.159999966621399, '2018-01-04': 1.1699999570846558, '2018-01-05': 1.820000052452088, '2018-01-08': 2.3399999141693115, '2018-01-09': 1.9600000381469729, '2018-01-10': 1.8799999952316284, '2018-01-11': 1.899999976158142, '2018-01-12': 1.7799999713897705, '2018-01-16': 1.600000023841858}, '1_month_later': {'2018-02-02': 1.159999966621399}, '3_months_later': {'2018-04-02': 1.1299999952316284}, '6_months_later': {'2018-07-02': 1.0470000505447388}, '12_months_later': {'2019-01-02': 0.8799999952316284}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MYSZ
{'date': '2018-01-02', 'ticker': 'MYSZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.600000381469728, 'high': 11.835000038146973, 'open': 9.899999618530272, 'close': 11.774999618530272, 'ema_50': 11.52581883354579, 'rsi_14': 35.636355229315356, 'target': 13.829999923706056, 'volume': 371000.0, 'ema_200': 19.845676707313512, 'adj_close': 11.774999618530272, 'rsi_lag_1': 33.20754427268707, 'rsi_lag_2': 35.98553312124473, 'rsi_lag_3': 43.664714618991276, 'rsi_lag_4': 41.011232878212816, 'rsi_lag_5': 35.43688980792773, 'macd_lag_1': -0.39242030696876107, 'macd_lag_2': -0.30612365310618905, 'macd_lag_3': -0.18694320854467072, 'macd_lag_4': -0.13137911801012336, 'macd_lag_5': -0.05091182015888407, 'macd_12_26_9': -0.29162804697529054, 'macds_12_26_9': -0.12715701794365772}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.829999923706056, '2018-01-04': 14.80500030517578, '2018-01-05': 24.89999961853028, '2018-01-08': 42.900001525878906, '2018-01-09': 25.799999237060547, '2018-01-10': 23.549999237060547, '2018-01-11': 22.350000381469727, '2018-01-12': 32.099998474121094, '2018-01-16': 39.900001525878906}, '1_month_later': {'2018-02-02': 25.350000381469727}, '3_months_later': {'2018-04-02': 19.350000381469727}, '6_months_later': {'2018-07-02': 13.350000381469728}, '12_months_later': {'2019-01-02': 12.149999618530272}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MYRG
{'date': '2018-01-02', 'ticker': 'MYRG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.40999984741211, 'high': 36.36000061035156, 'open': 35.880001068115234, 'close': 35.75, 'ema_50': 34.06070084282284, 'rsi_14': 38.55724886603025, 'target': 34.81999969482422, 'volume': 135100.0, 'ema_200': 32.16891478243007, 'adj_close': 35.75, 'rsi_lag_1': 46.6522537605244, 'rsi_lag_2': 51.814519540328895, 'rsi_lag_3': 52.766823300405825, 'rsi_lag_4': 57.40071804434137, 'rsi_lag_5': 52.40548792078014, 'macd_lag_1': 0.4669621958805834, 'macd_lag_2': 0.4955353947308012, 'macd_lag_3': 0.5166517581779857, 'macd_lag_4': 0.5432162236046167, 'macd_lag_5': 0.5661663932410477, 'macd_12_26_9': 0.4408497581314421, 'macds_12_26_9': 0.5614734589296977}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 34.81999969482422, '2018-01-04': 35.25, '2018-01-05': 34.90999984741211, '2018-01-08': 34.619998931884766, '2018-01-09': 34.5099983215332, '2018-01-10': 33.93000030517578, '2018-01-11': 35.34000015258789, '2018-01-12': 35.77000045776367, '2018-01-16': 34.560001373291016}, '1_month_later': {'2018-02-02': 33.470001220703125}, '3_months_later': {'2018-04-02': 30.5}, '6_months_later': {'2018-07-02': 36.060001373291016}, '12_months_later': {'2019-01-02': 28.3799991607666}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MYOV
{'date': '2018-01-02', 'ticker': 'MYOV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.3100004196167, 'high': 12.744999885559082, 'open': 12.699999809265137, 'close': 12.460000038146973, 'ema_50': 12.773184105840441, 'rsi_14': 78.36258027455776, 'target': 12.510000228881836, 'volume': 27200.0, 'ema_200': 12.730154186123265, 'adj_close': 12.460000038146973, 'rsi_lag_1': 63.50712656977748, 'rsi_lag_2': 52.14008994968162, 'rsi_lag_3': 42.181812633167624, 'rsi_lag_4': 42.39130359666484, 'rsi_lag_5': 37.67122459984041, 'macd_lag_1': -0.16804658852068322, 'macd_lag_2': -0.21592977250148593, 'macd_lag_3': -0.27390533063696587, 'macd_lag_4': -0.3255918435027212, 'macd_lag_5': -0.38377222938881594, 'macd_12_26_9': -0.14297521130164625, 'macds_12_26_9': -0.2829455008102896}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.510000228881836, '2018-01-04': 13.140000343322754, '2018-01-05': 14.079999923706056, '2018-01-08': 13.380000114440918, '2018-01-09': 13.9399995803833, '2018-01-10': 13.9399995803833, '2018-01-11': 14.25, '2018-01-12': 14.100000381469728, '2018-01-16': 14.170000076293944}, '1_month_later': {'2018-02-02': 13.3100004196167}, '3_months_later': {'2018-04-02': 20.270000457763672}, '6_months_later': {'2018-07-02': 23.690000534057617}, '12_months_later': {'2019-01-02': 16.93000030517578}}
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.
MYOK
{'date': '2018-01-02', 'ticker': 'MYOK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 42.0, 'high': 43.650001525878906, 'open': 42.5, 'close': 42.95000076293945, 'ema_50': 38.87206135373308, 'rsi_14': 65.6387600051759, 'target': 42.04999923706055, 'volume': 583000.0, 'ema_200': 30.503732028035373, 'adj_close': 42.95000076293945, 'rsi_lag_1': 63.38027260933133, 'rsi_lag_2': 71.03173918374574, 'rsi_lag_3': 78.04878672838726, 'rsi_lag_4': 70.52342066784325, 'rsi_lag_5': 67.19999186197917, 'macd_lag_1': 1.3428417488576798, 'macd_lag_2': 1.3215583925744454, 'macd_lag_3': 1.2497158775718447, 'macd_lag_4': 1.1347497985703185, 'macd_lag_5': 0.9053242391634058, 'macd_12_26_9': 1.4120201536137316, 'macds_12_26_9': 0.9739026884154751}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 42.04999923706055, '2018-01-04': 42.0, '2018-01-05': 42.29999923706055, '2018-01-08': 41.29999923706055, '2018-01-09': 47.54999923706055, '2018-01-10': 48.45000076293945, '2018-01-11': 49.59999847412109, '2018-01-12': 52.900001525878906, '2018-01-16': 52.0}, '1_month_later': {'2018-02-02': 53.04999923706055}, '3_months_later': {'2018-04-02': 48.45000076293945}, '6_months_later': {'2018-07-02': 52.25}, '12_months_later': {'2019-01-02': 41.95000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MYO
{'date': '2018-01-02', 'ticker': 'MYO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 105.18000030517578, 'high': 113.12999725341795, 'open': 110.0999984741211, 'close': 109.5, 'ema_50': 118.89162427794695, 'rsi_14': 59.566788097373106, 'target': 118.1999969482422, 'volume': 17900.0, 'ema_200': 180.3778499096386, 'adj_close': 109.5, 'rsi_lag_1': 60.88560657062577, 'rsi_lag_2': 63.82978472220446, 'rsi_lag_3': 74.54545454545455, 'rsi_lag_4': 77.34627943581988, 'rsi_lag_5': 77.41935483870967, 'macd_lag_1': 0.33903573097752826, 'macd_lag_2': -0.13805164918356638, 'macd_lag_3': -1.1878895441479216, 'macd_lag_4': -3.228404556530151, 'macd_lag_5': -5.633157833330316, 'macd_12_26_9': 0.469642245565538, 'macds_12_26_9': -3.755677892117212}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 118.1999969482422, '2018-01-04': 114.3000030517578, '2018-01-05': 117.0, '2018-01-08': 117.5999984741211, '2018-01-09': 115.5, '2018-01-10': 111.5999984741211, '2018-01-11': 111.9000015258789, '2018-01-12': 111.5999984741211, '2018-01-16': 110.4000015258789}, '1_month_later': {'2018-02-02': 128.6999969482422}, '3_months_later': {'2018-04-02': 85.80000305175781}, '6_months_later': {'2018-07-02': 91.5}, '12_months_later': {'2019-01-02': 46.5}}
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.
MYL
{'date': '2018-01-02', 'ticker': 'MYL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/4134958-mylans-generic-estrace-stymie-allergan?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Mylan's Generic Estrace Could Stymie Allergan", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.gurufocus.com/news/617211/richard-pzena-deepvalue-investing', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Richard Pzena: Deep-Value Investing', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134725-3-things-biotech-learn-today-january-2-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '3 Things In Biotech You Should Learn Today: January 2, 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 42.27999877929688, 'high': 43.77000045776367, 'open': 42.34999847412109, 'close': 43.11000061035156, 'ema_50': 38.86624914830252, 'rsi_14': 81.5331244330284, 'target': 43.13999938964844, 'volume': 6752900.0, 'ema_200': 37.69046629897381, 'adj_close': 43.11000061035156, 'rsi_lag_1': 81.5972592451798, 'rsi_lag_2': 83.96372053779756, 'rsi_lag_3': 86.56935932527142, 'rsi_lag_4': 84.71432790955453, 'rsi_lag_5': 83.84733794234597, 'macd_lag_1': 1.2693836364021749, 'macd_lag_2': 1.2635530154485366, 'macd_lag_3': 1.2835503294332327, 'macd_lag_4': 1.2761498675450156, 'macd_lag_5': 1.2206510515074527, 'macd_12_26_9': 1.323303479292008, 'macds_12_26_9': 1.1551695546178633}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 43.13999938964844, '2018-01-04': 44.310001373291016, '2018-01-05': 44.540000915527344, '2018-01-08': 44.560001373291016, '2018-01-09': 44.290000915527344, '2018-01-10': 44.38999938964844, '2018-01-11': 46.709999084472656, '2018-01-12': 46.900001525878906, '2018-01-16': 46.63999938964844}, '1_month_later': {'2018-02-02': 42.09999847412109}, '3_months_later': {'2018-04-02': 39.540000915527344}, '6_months_later': {'2018-07-02': 36.630001068115234}, '12_months_later': {'2019-01-02': 27.920000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MXDU
{'date': '2018-01-02', 'ticker': 'MXDU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.520000457763672, 'high': 26.53000068664551, 'open': 26.53000068664551, 'close': 26.520000457763672, 'ema_50': 25.412453443089884, 'rsi_14': 80.44448890218818, 'target': 26.81999969482422, 'volume': 15400.0, 'ema_200': 25.11597721543333, 'adj_close': 25.63471031188965, 'rsi_lag_1': 85.3982226198209, 'rsi_lag_2': 81.33332994249115, 'rsi_lag_3': 80.73394415143973, 'rsi_lag_4': 81.63533205954376, 'rsi_lag_5': 77.63561060032652, 'macd_lag_1': 0.3824405593383382, 'macd_lag_2': 0.34919073569576753, 'macd_lag_3': 0.31185439472873, 'macd_lag_4': 0.28002729692494555, 'macd_lag_5': 0.23940384860558694, 'macd_12_26_9': 0.3953578686838526, 'macds_12_26_9': 0.286969796626517}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-04': 26.81999969482422}, '1_month_later': {'2018-02-02': 27.53000068664551}, '12_months_later': {'2019-01-02': 24.77599906921387}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MYJ
{'date': '2018-01-02', 'ticker': 'MYJ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.760000228881836, 'high': 16.06999969482422, 'open': 15.789999961853027, 'close': 15.979999542236328, 'ema_50': 15.943371136492269, 'rsi_14': 34.82143313300516, 'target': 15.989999771118164, 'volume': 50400.0, 'ema_200': 16.045167465845974, 'adj_close': 13.980550765991213, 'rsi_lag_1': 31.132055950070722, 'rsi_lag_2': 27.722739556324456, 'rsi_lag_3': 30.693103897600025, 'rsi_lag_4': 36.36362060041636, 'rsi_lag_5': 53.95682663485003, 'macd_lag_1': -0.05362464809620526, 'macd_lag_2': -0.05642531886940105, 'macd_lag_3': -0.05307012765720387, 'macd_lag_4': -0.051070369838893015, 'macd_lag_5': -0.039629566056225585, 'macd_12_26_9': -0.036460360640210965, 'macds_12_26_9': -0.03384568603851453}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.989999771118164, '2018-01-04': 15.859999656677246, '2018-01-05': 15.84000015258789, '2018-01-08': 15.729999542236328, '2018-01-09': 15.649999618530272, '2018-01-10': 15.6899995803833, '2018-01-11': 15.6899995803833, '2018-01-12': 15.489999771118164, '2018-01-16': 15.529999732971191}, '1_month_later': {'2018-02-02': 14.800000190734863}, '3_months_later': {'2018-04-02': 13.949999809265137}, '6_months_later': {'2018-07-02': 13.8100004196167}, '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.
MYE
{'date': '2018-01-02', 'ticker': 'MYE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.549999237060547, 'high': 20.100000381469727, 'open': 19.549999237060547, 'close': 20.0, 'ema_50': 20.19687688442584, 'rsi_14': 58.20894757578725, 'target': 20.600000381469727, 'volume': 146200.0, 'ema_200': 18.752689751676304, 'adj_close': 18.46734046936035, 'rsi_lag_1': 46.03174314837488, 'rsi_lag_2': 45.312507450587695, 'rsi_lag_3': 34.24654456144019, 'rsi_lag_4': 33.33331567269036, 'rsi_lag_5': 28.571414416695248, 'macd_lag_1': -0.3561627305337218, 'macd_lag_2': -0.3773985164618203, 'macd_lag_3': -0.42446821389787814, 'macd_lag_4': -0.45800846692391417, 'macd_lag_5': -0.4890652534939015, 'macd_12_26_9': -0.2955801320939422, 'macds_12_26_9': -0.39333895891940235}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 20.600000381469727, '2018-01-04': 20.950000762939453, '2018-01-05': 20.950000762939453, '2018-01-08': 21.25, '2018-01-09': 21.14999961853028, '2018-01-10': 20.950000762939453, '2018-01-11': 21.75, '2018-01-12': 21.299999237060547, '2018-01-16': 20.950000762939453}, '1_month_later': {'2018-02-02': 20.700000762939453}, '3_months_later': {'2018-04-02': 20.25}, '6_months_later': {'2018-07-02': 19.25}, '12_months_later': {'2019-01-02': 15.25}}
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.
MYD
{'date': '2018-01-02', 'ticker': 'MYD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.479999542236328, 'high': 14.5600004196167, 'open': 14.520000457763672, 'close': 14.5600004196167, 'ema_50': 14.531234566012662, 'rsi_14': 50.0, 'target': 14.630000114440918, 'volume': 75400.0, 'ema_200': 14.795951346525541, 'adj_close': 13.029138565063477, 'rsi_lag_1': 47.54101179895345, 'rsi_lag_2': 38.23531061719534, 'rsi_lag_3': 38.23531061719534, 'rsi_lag_4': 47.50000298023151, 'rsi_lag_5': 48.780459438588, 'macd_lag_1': -0.009956917625553174, 'macd_lag_2': -0.019048576684525642, 'macd_lag_3': -0.02732115412775471, 'macd_lag_4': -0.03748257254980025, 'macd_lag_5': -0.04176158968496502, 'macd_12_26_9': 0.0004705263733235654, 'macds_12_26_9': -0.020027355605872654}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.630000114440918, '2018-01-04': 14.6899995803833, '2018-01-05': 14.6899995803833, '2018-01-08': 14.739999771118164, '2018-01-09': 14.649999618530272, '2018-01-10': 14.59000015258789, '2018-01-11': 14.649999618530272, '2018-01-12': 14.4399995803833, '2018-01-16': 14.31999969482422}, '1_month_later': {'2018-02-02': 13.81999969482422}, '3_months_later': {'2018-04-02': 13.470000267028809}, '6_months_later': {'2018-07-02': 13.329999923706056}, '12_months_later': {'2019-01-02': 12.81999969482422}}
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.
MYC
{'date': '2018-01-02', 'ticker': 'MYC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.779999732971191, 'high': 14.859999656677246, 'open': 14.779999732971191, 'close': 14.8100004196167, 'ema_50': 15.099249661577284, 'rsi_14': 26.923119245864356, 'target': 14.920000076293944, 'volume': 67700.0, 'ema_200': 15.326057417623487, 'adj_close': 13.14917278289795, 'rsi_lag_1': 25.490207078130197, 'rsi_lag_2': 25.242723840175444, 'rsi_lag_3': 37.16814458038766, 'rsi_lag_4': 28.282807849030434, 'rsi_lag_5': 33.01889084122128, 'macd_lag_1': -0.11418305488675173, 'macd_lag_2': -0.11446138808125106, 'macd_lag_3': -0.11722447292062199, 'macd_lag_4': -0.12515522432499893, 'macd_lag_5': -0.11716631674396716, 'macd_12_26_9': -0.11106827806220743, 'macds_12_26_9': -0.10335600557839615}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.920000076293944, '2018-01-04': 14.9399995803833, '2018-01-05': 14.93000030517578, '2018-01-08': 14.920000076293944, '2018-01-09': 14.90999984741211, '2018-01-10': 14.869999885559082, '2018-01-11': 14.859999656677246, '2018-01-12': 14.789999961853027, '2018-01-16': 14.729999542236328}, '1_month_later': {'2018-02-02': 14.050000190734863}, '3_months_later': {'2018-04-02': 13.3100004196167}, '6_months_later': {'2018-07-02': 13.390000343322754}, '12_months_later': {'2019-01-02': 13.149999618530272}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MXIM
{'date': '2018-01-02', 'ticker': 'MXIM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.34999847412109, 'high': 53.0, 'open': 52.630001068115234, 'close': 52.970001220703125, 'ema_50': 52.00152798691985, 'rsi_14': 55.8209009610168, 'target': 53.68000030517578, 'volume': 2717600.0, 'ema_200': 48.148134034722325, 'adj_close': 48.84132385253906, 'rsi_lag_1': 53.090321691376566, 'rsi_lag_2': 55.55556258465229, 'rsi_lag_3': 57.46029843010236, 'rsi_lag_4': 58.57605717350876, 'rsi_lag_5': 64.59732241664798, 'macd_lag_1': 0.08658830826619379, 'macd_lag_2': 0.1277842400417626, 'macd_lag_3': 0.12250623874662381, 'macd_lag_4': 0.15369709806334697, 'macd_lag_5': 0.16479943774864125, 'macd_12_26_9': 0.10836846179334714, 'macds_12_26_9': 0.0906680947759925}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 53.68000030517578, '2018-01-04': 54.38999938964844, '2018-01-05': 53.2599983215332, '2018-01-08': 54.02999877929688, '2018-01-09': 53.81999969482422, '2018-01-10': 53.59999847412109, '2018-01-11': 54.59000015258789, '2018-01-12': 55.04999923706055, '2018-01-16': 54.33000183105469}, '1_month_later': {'2018-02-02': 60.540000915527344}, '3_months_later': {'2018-04-02': 57.40999984741211}, '6_months_later': {'2018-07-02': 59.119998931884766}, '12_months_later': {'2019-01-02': 50.84000015258789}}
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.
MXI
{'date': '2018-01-02', 'ticker': 'MXI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 70.25, 'high': 71.1500015258789, 'open': 70.3499984741211, 'close': 71.1500015258789, 'ema_50': 67.91523228835106, 'rsi_14': 89.73230631419224, 'target': 71.62999725341797, 'volume': 61800.0, 'ema_200': 63.79291168357268, 'adj_close': 66.37342071533203, 'rsi_lag_1': 87.25780272545903, 'rsi_lag_2': 88.02099683299093, 'rsi_lag_3': 87.43186143612641, 'rsi_lag_4': 77.0310499804455, 'rsi_lag_5': 68.18195830009903, 'macd_lag_1': 0.6425061148424476, 'macd_lag_2': 0.5991178722673141, 'macd_lag_3': 0.5431698964003715, 'macd_lag_4': 0.4923682480563798, 'macd_lag_5': 0.46618379937592636, 'macd_12_26_9': 0.7545338461925013, 'macds_12_26_9': 0.5275219151294688}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 71.62999725341797, '2018-01-04': 72.33999633789062, '2018-01-05': 72.77999877929688, '2018-01-08': 72.9800033569336, '2018-01-09': 73.12000274658203, '2018-01-10': 72.73999786376953, '2018-01-11': 73.58000183105469, '2018-01-12': 74.20999908447266, '2018-01-16': 73.68000030517578}, '1_month_later': {'2018-02-02': 71.05999755859375}, '3_months_later': {'2018-04-02': 66.38999938964844}, '6_months_later': {'2018-07-02': 66.56999969482422}, '12_months_later': {'2019-01-02': 57.310001373291016}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MXF
{'date': '2018-01-02', 'ticker': 'MXF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.770000457763672, 'high': 15.989999771118164, 'open': 15.770000457763672, 'close': 15.989999771118164, 'ema_50': 15.910818157484801, 'rsi_14': 64.04495345208912, 'target': 16.06999969482422, 'volume': 52500.0, 'ema_200': 16.42537126223944, 'adj_close': 13.739728927612305, 'rsi_lag_1': 54.87804594385881, 'rsi_lag_2': 52.564100996590014, 'rsi_lag_3': 45.833321507010304, 'rsi_lag_4': 38.15029029192368, 'rsi_lag_5': 37.49998645349155, 'macd_lag_1': -0.08534217007541045, 'macd_lag_2': -0.10757038665815166, 'macd_lag_3': -0.10790426325894842, 'macd_lag_4': -0.10166996614355917, 'macd_lag_5': -0.081033935092508, 'macd_12_26_9': -0.047809059443316926, 'macds_12_26_9': -0.08234282945619772}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.06999969482422, '2018-01-04': 16.100000381469727, '2018-01-05': 16.260000228881836, '2018-01-08': 16.299999237060547, '2018-01-09': 16.219999313354492, '2018-01-10': 15.979999542236328, '2018-01-11': 16.010000228881836, '2018-01-12': 16.260000228881836, '2018-01-16': 16.600000381469727}, '1_month_later': {'2018-02-02': 16.860000610351562}, '3_months_later': {'2018-04-02': 15.970000267028809}, '6_months_later': {'2018-07-02': 14.850000381469728}, '12_months_later': {'2019-01-02': 13.510000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MYI
{'date': '2018-01-02', 'ticker': 'MYI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.739999771118164, 'high': 13.84000015258789, 'open': 13.8100004196167, 'close': 13.789999961853027, 'ema_50': 14.066937990932487, 'rsi_14': 19.444323026977344, 'target': 13.920000076293944, 'volume': 217500.0, 'ema_200': 14.247300623707014, 'adj_close': 12.317137718200684, 'rsi_lag_1': 22.222075049339836, 'rsi_lag_2': 21.621461397888112, 'rsi_lag_3': 25.640890834286267, 'rsi_lag_4': 24.67525390141205, 'rsi_lag_5': 36.14449940538783, 'macd_lag_1': -0.09240762654438228, 'macd_lag_2': -0.09260839701414803, 'macd_lag_3': -0.09660845332152057, 'macd_lag_4': -0.09725424760300427, 'macd_lag_5': -0.0905548721702818, 'macd_12_26_9': -0.09279272749030554, 'macds_12_26_9': -0.08282999871976486}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.920000076293944, '2018-01-04': 13.81999969482422, '2018-01-05': 13.789999961853027, '2018-01-08': 13.770000457763672, '2018-01-09': 13.6899995803833, '2018-01-10': 13.600000381469728, '2018-01-11': 13.630000114440918, '2018-01-12': 13.489999771118164, '2018-01-16': 13.449999809265137}, '1_month_later': {'2018-02-02': 12.739999771118164}, '3_months_later': {'2018-04-02': 12.600000381469728}, '6_months_later': {'2018-07-02': 12.65999984741211}, '12_months_later': {'2019-01-02': 12.15999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MUA
{'date': '2018-01-02', 'ticker': 'MUA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.90999984741211, 'high': 15.109999656677246, 'open': 15.100000381469728, 'close': 14.949999809265137, 'ema_50': 15.046432680682809, 'rsi_14': 38.63640058130654, 'target': 15.010000228881836, 'volume': 53900.0, 'ema_200': 14.939547857214418, 'adj_close': 13.356950759887695, 'rsi_lag_1': 35.051581866857475, 'rsi_lag_2': 35.41671012829869, 'rsi_lag_3': 42.056083096103556, 'rsi_lag_4': 42.05608309610327, 'rsi_lag_5': 41.509430567201534, 'macd_lag_1': -0.033426833915108034, 'macd_lag_2': -0.035852988048523216, 'macd_lag_3': -0.042500868341324605, 'macd_lag_4': -0.04934958143483925, 'macd_lag_5': -0.04719136066732332, 'macd_12_26_9': -0.03274054643656754, 'macds_12_26_9': -0.03381916003454717}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.010000228881836, '2018-01-04': 14.9399995803833, '2018-01-05': 14.920000076293944, '2018-01-08': 14.890000343322754, '2018-01-09': 14.850000381469728, '2018-01-10': 14.8100004196167, '2018-01-11': 14.8100004196167, '2018-01-12': 14.68000030517578, '2018-01-16': 14.649999618530272}, '1_month_later': {'2018-02-02': 13.90999984741211}, '3_months_later': {'2018-04-02': 13.369999885559082}, '6_months_later': {'2018-07-02': 13.260000228881836}, '12_months_later': {'2019-01-02': 13.199999809265137}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTC
{'date': '2018-01-02', 'ticker': 'MTC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.0149999996647238, 'high': 0.0149999996647238, 'open': 0.0149999996647238, 'close': 0.0149999996647238, 'ema_50': 0.022594492565185822, 'rsi_14': 33.33333333333333, 'target': 0.0149999996647238, 'volume': 1000.0, 'ema_200': 0.040293137366261264, 'adj_close': 0.0149999996647238, 'rsi_lag_1': 33.33333333333333, 'rsi_lag_2': 33.33333333333333, 'rsi_lag_3': 33.33333333333333, 'rsi_lag_4': 33.33333333333333, 'rsi_lag_5': 33.33333333333333, 'macd_lag_1': -0.002167740630222837, 'macd_lag_2': -0.0022276135525070642, 'macd_lag_3': -0.002271631521640654, 'macd_lag_4': -0.0022947725437472977, 'macd_lag_5': -0.002290930393145277, 'macd_12_26_9': -0.0020961280486015976, 'macds_12_26_9': -0.0022374564527411363}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 0.0149999996647238, '2018-01-04': 0.0149999996647238, '2018-01-05': 0.0700000002980232, '2018-01-08': 0.0700000002980232, '2018-01-09': 0.0700000002980232, '2018-01-10': 0.0700000002980232, '2018-01-11': 0.0700000002980232, '2018-01-12': 0.0700000002980232, '2018-01-16': 0.0700000002980232}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTBCP
{'date': '2018-01-02', 'ticker': 'MTBCP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.10199928283692, 'high': 25.36000061035156, 'open': 25.36000061035156, 'close': 25.325000762939453, 'ema_50': 25.32211939985102, 'rsi_14': 51.08231828150182, 'target': 25.261999130249023, 'volume': 3900.0, 'ema_200': 25.418349919767216, 'adj_close': 20.05340003967285, 'rsi_lag_1': 59.64288925643244, 'rsi_lag_2': 60.489562256328966, 'rsi_lag_3': 63.60298500345707, 'rsi_lag_4': 49.42195193480173, 'rsi_lag_5': 42.459086088461206, 'macd_lag_1': -0.01620591370157598, 'macd_lag_2': -0.014933583092002323, 'macd_lag_3': -0.005965169159619421, 'macd_lag_4': -0.01886778597563321, 'macd_lag_5': -0.03404357124772872, 'macd_12_26_9': -0.012630582413553526, 'macds_12_26_9': -0.017959636396159957}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.261999130249023, '2018-01-04': 25.30599975585937, '2018-01-05': 25.309999465942383, '2018-01-08': 25.420000076293945, '2018-01-09': 25.40999984741211, '2018-01-10': 25.44099998474121, '2018-01-11': 25.479999542236328, '2018-01-12': 25.483999252319336, '2018-01-16': 25.520000457763672}, '1_month_later': {'2018-02-02': 25.89999961853028}, '3_months_later': {'2018-04-02': 25.549999237060547}, '6_months_later': {'2018-07-02': 25.850000381469727}, '12_months_later': {'2019-01-02': 26.1299991607666}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTBC
{'date': '2018-01-02', 'ticker': 'MTBC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.549999952316284, 'high': 2.700000047683716, 'open': 2.630000114440918, 'close': 2.650000095367432, 'ema_50': 2.680508104294034, 'rsi_14': 48.19711714117793, 'target': 2.7100000381469727, 'volume': 124900.0, 'ema_200': 2.012714149397703, 'adj_close': 2.650000095367432, 'rsi_lag_1': 50.57339396237743, 'rsi_lag_2': 53.00481995380639, 'rsi_lag_3': 54.310340524550206, 'rsi_lag_4': 44.4556390073905, 'rsi_lag_5': 40.01901002808445, 'macd_lag_1': -0.019420859750560737, 'macd_lag_2': -0.008728450454539072, 'macd_lag_3': -4.501727582661985e-05, 'macd_lag_4': 0.006966132480342502, 'macd_lag_5': 0.008686317584690073, 'macd_12_26_9': -0.02438588399500219, 'macds_12_26_9': -0.004650834053938142}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.7100000381469727, '2018-01-04': 2.75, '2018-01-05': 2.869999885559082, '2018-01-08': 2.950000047683716, '2018-01-09': 3.1600000858306885, '2018-01-10': 3.059999942779541, '2018-01-11': 2.950000047683716, '2018-01-12': 3.0299999713897705, '2018-01-16': 3.0}, '1_month_later': {'2018-02-02': 3.0899999141693115}, '3_months_later': {'2018-04-02': 3.299999952316284}, '6_months_later': {'2018-07-02': 3.869999885559082}, '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.
MTB
{'date': '2018-01-02', 'ticker': 'MTB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 170.0, 'high': 172.89999389648438, 'open': 172.47999572753906, 'close': 171.19000244140625, 'ema_50': 167.3835480142247, 'rsi_14': 52.00474318684215, 'target': 173.11000061035156, 'volume': 424000.0, 'ema_200': 159.41733632537287, 'adj_close': 160.67413330078125, 'rsi_lag_1': 47.968847251505295, 'rsi_lag_2': 53.52190104159784, 'rsi_lag_3': 55.67183554806808, 'rsi_lag_4': 54.18009441468375, 'rsi_lag_5': 52.11341827906245, 'macd_lag_1': 1.783084570652619, 'macd_lag_2': 1.9963517765542065, 'macd_lag_3': 2.10715804550739, 'macd_lag_4': 2.2912452278860655, 'macd_lag_5': 2.450116760151218, 'macd_12_26_9': 1.6116289998412867, 'macds_12_26_9': 2.037778721715713}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 173.11000061035156, '2018-01-04': 173.44000244140625, '2018-01-05': 172.82000732421875, '2018-01-08': 172.4199981689453, '2018-01-09': 174.91000366210938, '2018-01-10': 176.75, '2018-01-11': 177.99000549316406, '2018-01-12': 178.52000427246094, '2018-01-16': 177.77999877929688}, '1_month_later': {'2018-02-02': 189.1999969482422}, '3_months_later': {'2018-04-02': 179.88999938964844}, '6_months_later': {'2018-07-02': 170.08999633789062}, '12_months_later': {'2019-01-02': 144.88999938964844}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTA
{'date': '2018-01-02', 'ticker': 'MTA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.6399999856948853, 'high': 0.6800000071525574, 'open': 0.6399999856948853, 'close': 0.6700000166893005, 'ema_50': 1.4194420000143038, 'rsi_14': 68.74999767169395, 'target': 0.7799999713897705, 'volume': 128534.0, 'ema_200': 5.618917069259364, 'adj_close': 0.6411182284355164, 'rsi_lag_1': 68.74999767169395, 'rsi_lag_2': 70.58823116922915, 'rsi_lag_3': 70.58823116922915, 'rsi_lag_4': 74.99999254941896, 'rsi_lag_5': 65.21739243108989, 'macd_lag_1': -0.06655244112012482, 'macd_lag_2': -0.0751852197401448, 'macd_lag_3': -0.08409199433929093, 'macd_lag_4': -0.09321894042646184, 'macd_lag_5': -0.10351233066242949, 'macd_12_26_9': -0.05823271571283928, 'macds_12_26_9': -0.10098837746776174}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 0.7799999713897705, '2018-01-04': 0.75, '2018-01-05': 0.7400000095367432, '2018-01-08': 0.7599999904632568, '2018-01-09': 0.7599999904632568, '2018-01-10': 0.7300000190734863, '2018-01-11': 0.75, '2018-01-12': 0.75, '2018-01-16': 0.699999988079071}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSVB
{'date': '2018-01-02', 'ticker': 'MSVB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.569479942321776, 'high': 9.569479942321776, 'open': 9.569479942321776, 'close': 9.569479942321776, 'ema_50': 8.921483949751094, 'rsi_14': 99.48986755276829, 'target': 9.569479942321776, 'volume': 200.0, 'ema_200': 8.356463090804315, 'adj_close': 9.464262008666992, 'rsi_lag_1': 99.48986755276829, 'rsi_lag_2': 99.48986755276829, 'rsi_lag_3': 2.4999832200875858, 'rsi_lag_4': 2.4999832200875858, 'rsi_lag_5': 2.4999832200875858, 'macd_lag_1': 0.03321938870645624, 'macd_lag_2': -0.019389096494549563, 'macd_lag_3': -0.08625463074755046, 'macd_lag_4': -0.08788334524793662, 'macd_lag_5': -0.0886838740066409, 'macd_12_26_9': 0.07405829433452382, 'macds_12_26_9': -0.012936500241372405}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.569479942321776, '2018-01-04': 9.569479942321776, '2018-01-05': 9.569479942321776, '2018-01-08': 9.569479942321776, '2018-01-09': 9.569479942321776, '2018-01-10': 9.569479942321776, '2018-01-11': 9.569479942321776, '2018-01-12': 9.569479942321776, '2018-01-16': 9.569479942321776}, '1_month_later': {'2018-02-02': 11.082694053649902}, '3_months_later': {'2018-04-02': 11.913895606994627}, '6_months_later': {'2018-07-02': 10.878089904785156}, '12_months_later': {'2019-01-02': 11.899999618530272}}
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.
MSON
{'date': '2018-01-02', 'ticker': 'MSON', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.399999618530272, 'high': 9.600000381469728, 'open': 9.399999618530272, 'close': 9.449999809265137, 'ema_50': 9.920622286592229, 'rsi_14': 38.97056297030767, 'target': 9.449999809265137, 'volume': 3400.0, 'ema_200': 9.754678868390688, 'adj_close': 9.449999809265137, 'rsi_lag_1': 32.919224857170704, 'rsi_lag_2': 45.61403900144002, 'rsi_lag_3': 41.48935738489939, 'rsi_lag_4': 38.4236263434255, 'rsi_lag_5': 31.57893944314408, 'macd_lag_1': -0.2006224973639963, 'macd_lag_2': -0.19998050539469325, 'macd_lag_3': -0.2115250683726, 'macd_lag_4': -0.2313288472654147, 'macd_lag_5': -0.2583317186836389, 'macd_12_26_9': -0.19883918625887453, 'macds_12_26_9': -0.2029956322440477}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.449999809265137, '2018-01-04': 9.43000030517578, '2018-01-05': 9.449999809265137, '2018-01-08': 9.699999809265137, '2018-01-09': 9.699999809265137, '2018-01-10': 9.699999809265137, '2018-01-11': 9.75, '2018-01-12': 9.56999969482422, '2018-01-16': 9.199999809265137}, '1_month_later': {'2018-02-02': 9.199999809265137}, '3_months_later': {'2018-04-02': 10.199999809265137}, '6_months_later': {'2018-07-02': 12.800000190734863}, '12_months_later': {'2019-01-02': 16.5}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTCH
{'date': '2018-01-02', 'ticker': 'MTCH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.5, 'high': 32.650001525878906, 'open': 31.5, 'close': 32.380001068115234, 'ema_50': 28.85969921436529, 'rsi_14': 79.8960181042741, 'target': 32.0099983215332, 'volume': 2402700.0, 'ema_200': 23.43048504779374, 'adj_close': 32.380001068115234, 'rsi_lag_1': 68.73787536822957, 'rsi_lag_2': 63.32737244047552, 'rsi_lag_3': 72.3502350053353, 'rsi_lag_4': 74.74151476195186, 'rsi_lag_5': 77.74436650925065, 'macd_lag_1': 0.8542340264630255, 'macd_lag_2': 0.882621172584237, 'macd_lag_3': 0.9029607521192702, 'macd_lag_4': 0.8903329317858883, 'macd_lag_5': 0.85210129201635, 'macd_12_26_9': 0.9076147773794219, 'macds_12_26_9': 0.798425990743314}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.0099983215332, '2018-01-04': 32.130001068115234, '2018-01-05': 31.799999237060547, '2018-01-08': 32.09000015258789, '2018-01-09': 32.2400016784668, '2018-01-10': 31.940000534057617, '2018-01-11': 32.29999923706055, '2018-01-12': 32.63999938964844, '2018-01-16': 31.39999961853028}, '1_month_later': {'2018-02-02': 34.709999084472656}, '3_months_later': {'2018-04-02': 42.75}, '6_months_later': {'2018-07-02': 39.47999954223633}, '12_months_later': {'2019-01-02': 42.380001068115234}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSN
{'date': '2018-01-02', 'ticker': 'MSN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.409999966621399, 'high': 1.4600000381469729, 'open': 1.4600000381469729, 'close': 1.4199999570846558, 'ema_50': 1.4392785063978706, 'rsi_14': 48.57143051770189, 'target': 1.590000033378601, 'volume': 4100.0, 'ema_200': 1.3284792806712455, 'adj_close': 1.4199999570846558, 'rsi_lag_1': 60.00000681195896, 'rsi_lag_2': 58.82352322442978, 'rsi_lag_3': 74.07408552078812, 'rsi_lag_4': 70.37038345232929, 'rsi_lag_5': 70.37038345232929, 'macd_lag_1': 0.009888920312815408, 'macd_lag_2': 0.011342994450362465, 'macd_lag_3': 0.017106668320262752, 'macd_lag_4': 0.016068928878169464, 'macd_lag_5': 0.015528846962837406, 'macd_12_26_9': 0.005446104532696561, 'macds_12_26_9': 0.009736295348059075}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.590000033378601, '2018-01-04': 1.4900000095367432, '2018-01-05': 1.5499999523162842, '2018-01-08': 1.5199999809265137, '2018-01-09': 1.4500000476837158, '2018-01-10': 1.4600000381469729, '2018-01-11': 1.4500000476837158, '2018-01-12': 1.4500000476837158, '2018-01-16': 1.4600000381469729}, '1_month_later': {'2018-02-02': 1.3899999856948853}, '3_months_later': {'2018-04-02': 1.409999966621399}, '6_months_later': {'2018-07-02': 1.4900000095367432}, '12_months_later': {'2019-01-02': 1.440000057220459}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSGS
{'date': '2018-01-02', 'ticker': 'MSGS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 148.3880157470703, 'high': 151.47645568847656, 'open': 151.05563354492188, 'close': 149.37945556640625, 'ema_50': 153.15796883079872, 'rsi_14': 39.871068455798756, 'target': 150.71327209472656, 'volume': 251100.0, 'ema_200': 147.73707626721938, 'adj_close': 149.37945556640625, 'rsi_lag_1': 41.0398701286408, 'rsi_lag_2': 49.37315926199337, 'rsi_lag_3': 53.12324461247548, 'rsi_lag_4': 48.76679409634451, 'rsi_lag_5': 35.30895504269124, 'macd_lag_1': -0.9395567863194572, 'macd_lag_2': -0.8977532611733068, 'macd_lag_3': -0.9896572914292676, 'macd_lag_4': -1.0700516998277863, 'macd_lag_5': -1.0910118315101158, 'macd_12_26_9': -1.0423986195982877, 'macds_12_26_9': -1.0600762513075677}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 150.71327209472656, '2018-01-04': 150.5563507080078, '2018-01-05': 151.83309936523438, '2018-01-08': 150.02139282226562, '2018-01-09': 150.07846069335938, '2018-01-10': 148.2881622314453, '2018-01-11': 150.95578002929688, '2018-01-12': 151.91868591308594, '2018-01-16': 150.89871215820312}, '1_month_later': {'2018-02-02': 157.4108428955078}, '3_months_later': {'2018-04-02': 173.1954345703125}, '6_months_later': {'2018-07-02': 229.2225341796875}, '12_months_later': {'2019-01-02': 189.45079040527344}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSGN
{'date': '2018-01-02', 'ticker': 'MSGN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.350000381469727, 'high': 21.14999961853028, 'open': 20.5, 'close': 21.100000381469727, 'ema_50': 19.457427990541824, 'rsi_14': 75.43862349587044, 'target': 21.14999961853028, 'volume': 641600.0, 'ema_200': 20.357524544420148, 'adj_close': 21.100000381469727, 'rsi_lag_1': 66.66669694206357, 'rsi_lag_2': 66.66669694206345, 'rsi_lag_3': 78.72339044019976, 'rsi_lag_4': 68.51853944966552, 'rsi_lag_5': 67.27271844532234, 'macd_lag_1': 0.4974742220719577, 'macd_lag_2': 0.516030824618646, 'macd_lag_3': 0.5474825828523215, 'macd_lag_4': 0.5592995604962034, 'macd_lag_5': 0.5662470547180902, 'macd_12_26_9': 0.5450726496859879, 'macds_12_26_9': 0.4964587562336952}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 21.14999961853028, '2018-01-04': 20.549999237060547, '2018-01-05': 20.75, '2018-01-08': 20.850000381469727, '2018-01-09': 20.600000381469727, '2018-01-10': 20.64999961853028, '2018-01-11': 21.25, '2018-01-12': 21.600000381469727, '2018-01-16': 21.549999237060547}, '1_month_later': {'2018-02-02': 25.799999237060547}, '3_months_later': {'2018-04-02': 22.0}, '6_months_later': {'2018-07-02': 23.850000381469727}, '12_months_later': {'2019-01-02': 24.239999771118164}}
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.
MSFT
{'date': '2018-01-02', 'ticker': 'MSFT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 85.5, 'high': 86.30999755859375, 'open': 86.12999725341797, 'close': 85.94999694824219, 'ema_50': 83.10885594361758, 'rsi_14': 56.22832780047387, 'target': 86.3499984741211, 'volume': 22483800.0, 'ema_200': 75.17597415913541, 'adj_close': 82.79899597167969, 'rsi_lag_1': 60.71427302118344, 'rsi_lag_2': 70.36572025618601, 'rsi_lag_3': 67.84409641845886, 'rsi_lag_4': 70.95711509973184, 'rsi_lag_5': 73.34036513373954, 'macd_lag_1': 0.7680489285916963, 'macd_lag_2': 0.8139219399458852, 'macd_lag_3': 0.8423064151481441, 'macd_lag_4': 0.8673019967839792, 'macd_lag_5': 0.9181535342664091, 'macd_12_26_9': 0.7560620769656055, 'macds_12_26_9': 0.8327347946453996}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 86.3499984741211, '2018-01-04': 87.11000061035156, '2018-01-05': 88.19000244140625, '2018-01-08': 88.27999877929688, '2018-01-09': 88.22000122070312, '2018-01-10': 87.81999969482422, '2018-01-11': 88.08000183105469, '2018-01-12': 89.5999984741211, '2018-01-16': 88.3499984741211}, '1_month_later': {'2018-02-02': 91.77999877929688}, '3_months_later': {'2018-04-02': 88.5199966430664}, '6_months_later': {'2018-07-02': 100.01000213623048}, '12_months_later': {'2019-01-02': 101.12000274658205}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSEX
{'date': '2018-01-02', 'ticker': 'MSEX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 38.790000915527344, 'high': 41.45000076293945, 'open': 40.33000183105469, 'close': 39.09000015258789, 'ema_50': 42.061679924653056, 'rsi_14': 31.542683657320126, 'target': 38.470001220703125, 'volume': 65700.0, 'ema_200': 40.26279983258991, 'adj_close': 37.3498649597168, 'rsi_lag_1': 33.044726134171796, 'rsi_lag_2': 32.57466203548702, 'rsi_lag_3': 28.198076804006334, 'rsi_lag_4': 28.88283364585449, 'rsi_lag_5': 24.311921588699363, 'macd_lag_1': -0.8740590965757349, 'macd_lag_2': -0.837447769771039, 'macd_lag_3': -0.8599918128625532, 'macd_lag_4': -0.8518210917284534, 'macd_lag_5': -0.8249293349293865, 'macd_12_26_9': -0.9581954781713549, 'macds_12_26_9': -0.787564393180468}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 38.470001220703125, '2018-01-04': 38.20000076293945, '2018-01-05': 37.66999816894531, '2018-01-08': 39.18000030517578, '2018-01-09': 38.77000045776367, '2018-01-10': 37.90999984741211, '2018-01-11': 37.77999877929688, '2018-01-12': 37.369998931884766, '2018-01-16': 37.150001525878906}, '1_month_later': {'2018-02-02': 36.540000915527344}, '3_months_later': {'2018-04-02': 35.15999984741211}, '6_months_later': {'2018-07-02': 42.369998931884766}, '12_months_later': {'2019-01-02': 51.84999847412109}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSD
{'date': '2018-01-02', 'ticker': 'MSD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.979999542236328, 'high': 10.039999961853027, 'open': 9.989999771118164, 'close': 10.039999961853027, 'ema_50': 9.97773135395321, 'rsi_14': 63.82979155126199, 'target': 9.949999809265137, 'volume': 76500.0, 'ema_200': 9.90332146799407, 'adj_close': 8.558992385864258, 'rsi_lag_1': 58.5365513263056, 'rsi_lag_2': 62.50005960470179, 'rsi_lag_3': 56.7567846216102, 'rsi_lag_4': 40.00000000000009, 'rsi_lag_5': 35.5555367175365, 'macd_lag_1': -0.001956012309003441, 'macd_lag_2': -0.005179983976653091, 'macd_lag_3': -0.011256009201458639, 'macd_lag_4': -0.014774779693153661, 'macd_lag_5': -0.013960175995833879, 'macd_12_26_9': 0.00537854041779795, 'macds_12_26_9': -0.005989900205026632}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.949999809265137, '2018-01-04': 9.93000030517578, '2018-01-05': 9.970000267028809, '2018-01-08': 9.93000030517578, '2018-01-09': 9.920000076293944, '2018-01-10': 9.979999542236328, '2018-01-11': 9.960000038146973, '2018-01-12': 9.880000114440918, '2018-01-16': 9.920000076293944}, '1_month_later': {'2018-02-02': 9.8100004196167}, '3_months_later': {'2018-04-02': 9.399999618530272}, '6_months_later': {'2018-07-02': 8.710000038146973}, '12_months_later': {'2019-01-02': 8.279999732971191}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSCI
{'date': '2018-01-02', 'ticker': 'MSCI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/top-rated-stocks-msci-sees-composite-rating-climb-97-2018-01-02', 'news_author': None, 'news_article': 'On Tuesday, MSCI ( MSCI ) got an upgrade for its IBD SmartSelect Composite Rating from 94 to 97.\n[ibd-display-video id=2385970 width=50 float=left autostart=true] The upgrade means the stock currently tops 97% of all other stocks in terms of key performance metrics and technical strength.\nMSCI is now out of buy range after breaking out from a 105.50 entry in a cup with handle.\nSee How IBD Helps You Make More Money In Stocks\nThe stock sports a 93 EPS Rating, which means its recent quarterly and longer-term annual earnings growth tops 93% of all stocks.\nIts Accumulation/Distribution Rating of B- shows moderate buying by institutional investors over the last 13 weeks.\nIn Q3, the company posted 30% EPS growth. Sales growth climbed 12%, up from 9% in the prior report. The company has now posted increasing growth in each of the last three quarters.\nMSCI holds the No. 3 rank among its peers in the Financial Services-Specialty industry group. CBOE ( CBOE ) is the top-ranked stock within the group.\nRELATED:\nWhich Companies Are Now Outperforming 95% Of All Stocks?\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': 'MSCI is now out of buy range after breaking out from a 105.50 entry in a cup with handle. On Tuesday, MSCI ( MSCI ) got an upgrade for its IBD SmartSelect Composite Rating from 94 to 97. MSCI holds the No.', '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. On Tuesday, MSCI ( MSCI ) got an upgrade for its IBD SmartSelect Composite Rating from 94 to 97. MSCI is now out of buy range after breaking out from a 105.50 entry in a cup with handle.', 'news_article_title': 'Top-Rated Stocks: MSCI Sees Composite Rating Climb To 97', 'news_lexrank_summary': 'On Tuesday, MSCI ( MSCI ) got an upgrade for its IBD SmartSelect Composite Rating from 94 to 97. MSCI is now out of buy range after breaking out from a 105.50 entry in a cup with handle. MSCI holds the No.', 'news_textrank_summary': 'On Tuesday, MSCI ( MSCI ) got an upgrade for its IBD SmartSelect Composite Rating from 94 to 97. MSCI is now out of buy range after breaking out from a 105.50 entry in a cup with handle. MSCI holds the No.'}, {'news_url': 'http://www.investors.com/ibd-data-stories/top-rated-stocks-msci-sees-composite-rating-climb-to-97/?src=A00237A&ven=BenzingaCP&src=AURLAAM', 'news_author': None, 'news_article': None, 'news_publisher': "Investor's Business Daily", 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Top-Rated Stocks: MSCI Sees Composite Rating Climb To 97', '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': 126.51000213623048, 'high': 128.0399932861328, 'open': 127.51000213623048, 'close': 127.68000030517578, 'ema_50': 125.3699161138591, 'rsi_14': 46.58386466722426, 'target': 129.6199951171875, 'volume': 562700.0, 'ema_200': 112.70371438875793, 'adj_close': 127.68000030517578, 'rsi_lag_1': 43.60655245617048, 'rsi_lag_2': 40.35820434755685, 'rsi_lag_3': 35.60864214032888, 'rsi_lag_4': 34.70064765294531, 'rsi_lag_5': 55.367251120433544, 'macd_lag_1': 0.09822482504124253, 'macd_lag_2': 0.15481818348216336, 'macd_lag_3': 0.2410912693654268, 'macd_lag_4': 0.44035445839662657, 'macd_lag_5': 0.675045507199016, 'macd_12_26_9': 0.14370605022284622, 'macds_12_26_9': 0.408659498456941}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 129.6199951171875, '2018-01-04': 131.66000366210938, '2018-01-05': 133.02999877929688, '2018-01-08': 133.2100067138672, '2018-01-09': 134.10000610351562, '2018-01-10': 133.75, '2018-01-11': 134.75999450683594, '2018-01-12': 135.88999938964844, '2018-01-16': 134.3300018310547}, '1_month_later': {'2018-02-02': 142.52999877929688}, '3_months_later': {'2018-04-02': 145.94000244140625}, '6_months_later': {'2018-07-02': 167.13999938964844}, '12_months_later': {'2019-01-02': 146.94000244140625}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSBI
{'date': '2018-01-02', 'ticker': 'MSBI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.30500030517578, 'high': 33.049999237060554, 'open': 32.650001525878906, 'close': 32.470001220703125, 'ema_50': 32.18690941093791, 'rsi_14': 59.243711958198624, 'target': 32.529998779296875, 'volume': 72400.0, 'ema_200': 32.043003155655306, 'adj_close': 29.49091911315918, 'rsi_lag_1': 56.62650510120058, 'rsi_lag_2': 54.022970026132874, 'rsi_lag_3': 48.67925180154379, 'rsi_lag_4': 39.225603929264985, 'rsi_lag_5': 37.842449087836556, 'macd_lag_1': 0.07797979886694861, 'macd_lag_2': 0.060422149106486245, 'macd_lag_3': 0.013715200579348164, 'macd_lag_4': -0.0216631977835533, 'macd_lag_5': -0.04104925245352575, 'macd_12_26_9': 0.09004954668953502, 'macds_12_26_9': 0.01757054422907217}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.529998779296875, '2018-01-04': 32.75, '2018-01-05': 32.900001525878906, '2018-01-08': 32.7599983215332, '2018-01-09': 32.86999893188477, '2018-01-10': 33.549999237060554, '2018-01-11': 34.0, '2018-01-12': 33.970001220703125, '2018-01-16': 33.59999847412109}, '1_month_later': {'2018-02-02': 32.080001831054695}, '3_months_later': {'2018-04-02': 31.29999923706055}, '6_months_later': {'2018-07-02': 34.450000762939446}, '12_months_later': {'2019-01-02': 22.60000038146973}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSBF
{'date': '2018-01-02', 'ticker': 'MSBF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.100000381469727, 'high': 17.799999237060547, 'open': 17.799999237060547, 'close': 17.549999237060547, 'ema_50': 17.721732327883483, 'rsi_14': 47.99995727545581, 'target': 17.549999237060547, 'volume': 4000.0, 'ema_200': 17.09792725272132, 'adj_close': 15.777920722961426, 'rsi_lag_1': 52.17387698778636, 'rsi_lag_2': 45.83332671060976, 'rsi_lag_3': 54.16667328939024, 'rsi_lag_4': 45.77469139948152, 'rsi_lag_5': 52.142903853385, 'macd_lag_1': 0.027724032063503046, 'macd_lag_2': 0.03139655294089039, 'macd_lag_3': 0.04071817931868793, 'macd_lag_4': 0.04184184281025338, 'macd_lag_5': 0.04266743740770096, 'macd_12_26_9': 0.004587737563401362, 'macds_12_26_9': 0.029854824290042777}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 17.549999237060547, '2018-01-04': 17.850000381469727, '2018-01-05': 17.729999542236328, '2018-01-08': 17.700000762939453, '2018-01-09': 17.649999618530273, '2018-01-10': 17.700000762939453, '2018-01-11': 17.549999237060547, '2018-01-12': 17.600000381469727, '2018-01-16': 17.700000762939453}, '1_month_later': {'2018-02-02': 17.889999389648438}, '3_months_later': {'2018-04-02': 18.200000762939453}, '6_months_later': {'2018-07-02': 21.299999237060547}, '12_months_later': {'2019-01-02': 17.520000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MSM
{'date': '2018-01-02', 'ticker': 'MSM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 94.9499969482422, 'high': 97.91000366210938, 'open': 97.08999633789062, 'close': 97.19000244140624, 'ema_50': 87.1819782449074, 'rsi_14': 78.71286100341607, 'target': 99.26000213623048, 'volume': 461600.0, 'ema_200': 82.65885036093806, 'adj_close': 84.27651977539062, 'rsi_lag_1': 75.96965997089754, 'rsi_lag_2': 80.85106382978718, 'rsi_lag_3': 79.03076145315379, 'rsi_lag_4': 74.32913534668367, 'rsi_lag_5': 56.0499740326569, 'macd_lag_1': 3.2122559399900865, 'macd_lag_2': 3.191476645861684, 'macd_lag_3': 3.057442478232943, 'macd_lag_4': 3.0017487644309853, 'macd_lag_5': 2.9043112144356797, 'macd_12_26_9': 3.2342082133395422, 'macds_12_26_9': 3.035347326173226}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 99.26000213623048, '2018-01-04': 98.5, '2018-01-05': 97.4499969482422, '2018-01-08': 98.37999725341795, '2018-01-09': 97.6999969482422, '2018-01-10': 92.52999877929688, '2018-01-11': 95.1500015258789, '2018-01-12': 94.75, '2018-01-16': 93.4499969482422}, '1_month_later': {'2018-02-02': 91.37000274658205}, '3_months_later': {'2018-04-02': 88.4800033569336}, '6_months_later': {'2018-07-02': 84.0}, '12_months_later': {'2019-01-02': 75.8499984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTDR
{'date': '2018-01-02', 'ticker': 'MTDR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.309999465942383, 'high': 31.770000457763672, 'open': 31.39999961853028, 'close': 31.59000015258789, 'ema_50': 28.052438171315824, 'rsi_14': 78.1341127326354, 'target': 31.920000076293945, 'volume': 1113500.0, 'ema_200': 25.520121546212362, 'adj_close': 31.59000015258789, 'rsi_lag_1': 76.99385991574322, 'rsi_lag_2': 76.40791843164217, 'rsi_lag_3': 78.0763889113706, 'rsi_lag_4': 72.82322576943781, 'rsi_lag_5': 63.860667754787514, 'macd_lag_1': 0.9494401494960769, 'macd_lag_2': 0.8831483505614379, 'macd_lag_3': 0.7663446058999241, 'macd_lag_4': 0.6264772428335661, 'macd_lag_5': 0.4154250952326777, 'macd_12_26_9': 1.0272535736557238, 'macds_12_26_9': 0.6626477360142451}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 31.920000076293945, '2018-01-04': 32.25, '2018-01-05': 31.549999237060547, '2018-01-08': 32.189998626708984, '2018-01-09': 31.559999465942383, '2018-01-10': 31.82999992370605, '2018-01-11': 32.72999954223633, '2018-01-12': 32.75, '2018-01-16': 32.18000030517578}, '1_month_later': {'2018-02-02': 31.18000030517578}, '3_months_later': {'2018-04-02': 28.100000381469727}, '6_months_later': {'2018-07-02': 29.209999084472656}, '12_months_later': {'2019-01-02': 16.06999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTEM
{'date': '2018-01-02', 'ticker': 'MTEM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.90999984741211, 'high': 10.989999771118164, 'open': 10.0, 'close': 10.949999809265137, 'ema_50': 8.3270332975743, 'rsi_14': 86.62675129433721, 'target': 10.960000038146973, 'volume': 242000.0, 'ema_200': 7.236349175913493, 'adj_close': 10.949999809265137, 'rsi_lag_1': 78.39081140156163, 'rsi_lag_2': 84.05172861182322, 'rsi_lag_3': 82.96943608793589, 'rsi_lag_4': 73.10924790654954, 'rsi_lag_5': 74.35896991769056, 'macd_lag_1': 0.5896090580009865, 'macd_lag_2': 0.5524929939774594, 'macd_lag_3': 0.4767195208589463, 'macd_lag_4': 0.3832527700702837, 'macd_lag_5': 0.29096240951747276, 'macd_12_26_9': 0.6861573862531376, 'macds_12_26_9': 0.37644044159785084}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.960000038146973, '2018-01-04': 10.960000038146973, '2018-01-05': 12.149999618530272, '2018-01-08': 11.710000038146973, '2018-01-09': 11.949999809265137, '2018-01-10': 12.020000457763672, '2018-01-11': 12.09000015258789, '2018-01-12': 12.960000038146973, '2018-01-16': 12.529999732971191}, '1_month_later': {'2018-02-02': 10.460000038146973}, '3_months_later': {'2018-04-02': 8.170000076293945}, '6_months_later': {'2018-07-02': 5.489999771118164}, '12_months_later': {'2019-01-02': 4.21999979019165}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTZ
{'date': '2018-01-02', 'ticker': 'MTZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 49.45000076293945, 'high': 50.95000076293945, 'open': 49.650001525878906, 'close': 50.04999923706055, 'ema_50': 45.82227977151935, 'rsi_14': 65.99999771118252, 'target': 49.84999847412109, 'volume': 813100.0, 'ema_200': 42.64287061628037, 'adj_close': 50.04999923706055, 'rsi_lag_1': 57.89473050189327, 'rsi_lag_2': 67.80487223937072, 'rsi_lag_3': 65.56601957225763, 'rsi_lag_4': 70.12445715798016, 'rsi_lag_5': 68.14514789324267, 'macd_lag_1': 1.5546512496820384, 'macd_lag_2': 1.6360368334661928, 'macd_lag_3': 1.6448447287828145, 'macd_lag_4': 1.616889297611607, 'macd_lag_5': 1.5525987806325787, 'macd_12_26_9': 1.5609199583316595, 'macds_12_26_9': 1.4418124588971342}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 49.84999847412109, '2018-01-04': 49.900001525878906, '2018-01-05': 49.70000076293945, '2018-01-08': 50.45000076293945, '2018-01-09': 49.95000076293945, '2018-01-10': 49.900001525878906, '2018-01-11': 51.59999847412109, '2018-01-12': 52.5, '2018-01-16': 51.150001525878906}, '1_month_later': {'2018-02-02': 53.34999847412109}, '3_months_later': {'2018-04-02': 47.04999923706055}, '6_months_later': {'2018-07-02': 51.0}, '12_months_later': {'2019-01-02': 40.880001068115234}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTW
{'date': '2018-01-02', 'ticker': 'MTW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 39.31999969482422, 'high': 39.93999862670898, 'open': 39.65999984741211, 'close': 39.81999969482422, 'ema_50': 38.71271052869305, 'rsi_14': 50.923068165078874, 'target': 39.2599983215332, 'volume': 321000.0, 'ema_200': 32.110364817892936, 'adj_close': 39.81999969482422, 'rsi_lag_1': 41.617655308597655, 'rsi_lag_2': 40.25605671145, 'rsi_lag_3': 55.62660276970308, 'rsi_lag_4': 47.18468623273077, 'rsi_lag_5': 42.38636871014348, 'macd_lag_1': 0.14643032674208456, 'macd_lag_2': 0.19624916623547506, 'macd_lag_3': 0.24781793614373981, 'macd_lag_4': 0.2357065881823175, 'macd_lag_5': 0.2331105381472085, 'macd_12_26_9': 0.14402031253971614, 'macds_12_26_9': 0.22971969570418144}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 39.2599983215332, '2018-01-04': 39.43000030517578, '2018-01-05': 39.0099983215332, '2018-01-08': 39.52999877929688, '2018-01-09': 39.65999984741211, '2018-01-10': 39.0, '2018-01-11': 40.209999084472656, '2018-01-12': 39.36000061035156, '2018-01-16': 38.83000183105469}, '1_month_later': {'2018-02-02': 37.40999984741211}, '3_months_later': {'2018-04-02': 27.489999771118164}, '6_months_later': {'2018-07-02': 25.86000061035156}, '12_months_later': {'2019-01-02': 15.18000030517578}}
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.
MTUM
{'date': '2018-01-02', 'ticker': 'MTUM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/will-bitcoin-ai-stay-atop-hottest-market-trends-2018-2018-01-02', 'news_author': None, 'news_article': 'If 2017 was the year of tech, Bitcoin, artificial intelligence and emerging markets ETFs, what will 2018 bring ?\n[ibd-display-video id=3037819 width=50 float=left autostart=true] That\'s a key question on investors\' minds as they look ahead to the new year. Will stocks continue to outperform bonds? What about the U.S. vs. developing and/or emerging markets?\nOverall, experts don\'t see significant changes in 2018. They think stocks will provide better returns than bonds, but with the upside in the equity market lower than in 2017. They also expect the global economy to keep expanding - and emerging markets to stay hot.\n"We see a synchronized global expansion with room to run in 2018 and beyond, albeit with less scope for upside growth surprises," Richard Turnill, BlackRock\'s Global Chief Investment Strategist, said in his 2018 outlook. "Expansions come and expansions go. We see this one hanging around for longer than many expect."\nSpecial Report: 2018 Personal Finance Action Plan & 2017 Stock Market Review\nWhile he expects reduced reward for risk going forward, he prefers to take economic risk in stocks vs. bonds due to tight spreads, low yields and a maturing cycle in the credit market. Among U.S. equities, he likes momentum and value style factors, financials, technology and dividend growers. On the emerging markets front, he likes emerging Asia, Brazil and India.\nNigel Green, founder and CEO of deVere Group, an independent financial consulting firm that oversees $12 billion in assets, expects global markets to continue rising this year. He cites faster global GDP growth, loose global monetary policies and U.S. tax cuts.\nInvestor Headwinds\nBut he points out three headwinds investors should be aware of: tight labor markets that could result in a meaningful rise in inflation; President Trump\'s protectionist tone, which could lead to higher prices and inflation; and a slowdown in China\'s economy.\n"No one can accurately predict the future," Green wrote in a recent commentary. "However, whether it is sustained steadiness or more volatility that lies ahead in 2018, one message should be clear: to keep on investing. Why? Because economic history shows that over time, markets go up."\nVanguard\'s View\nWhile it sees potential further upside, Vanguard advises caution in its December research report, citing tight global labor markets, inflation and monetary policy risk - particularly in the U.S.\n"For 2018 and beyond, our investment outlook is one of higher risks and lower returns," Vanguard said. "Elevated valuations, low volatility and secularly low bond yields are unlikely to be allies for robust financial market returns over the next five years. Downside risks are more elevated in the equity market than in the bond market, even with higher-than-expected inflation."\nRather than an aggressive tactical shift in strategy, Vanguard suggests investors remain disciplined, globally diversified and have "realistic" expectations on returns.\nLet\'s take a look at the best ETFs of 2017 :\nGrowth stocks were the core of top-performing U.S. diversified ETFs last year, led by Innovator IBD 50 ( FFTY ), iShares Edge MSCI USA Momentum Factor ( MTUM ) and PowerShares QQQ Trust ( QQQ ). The three funds scored gains of 39%, 38% and 33.3%, respectively through Dec. 27, outpacing the S&P 500\'s 22.1% return.\nIBD\'S TAKE:Are Bitcoin, Ethereum and other digital currencies a speculator\'s game? Individual investors should be extremely cautious about diving into this new area. Read this feature about Bitcoin risks and potential gains.\nHigh tech dominated the sector funds category with the top 20 performers running up more than 40% each, according to Morningstar Direct. Only one non-tech fund made the list: iShares U.S. Home Construction ( ITB ), which rallied 59.4% last year. ARK Innovation ( ARKK ) and ARK Web x.0 (ARKW) were standouts with respective gains of 87.3% and 85%.\nARKK, which has gathered $383.8 million in assets since its October 2014 launch, invests in companies that meet ARK Invest\'s disruptive innovation theme. ARKK can be considered a Bitcoin play. Bitcoin Investment Trust (GBTC), its top holding, skyrocketed more than 1,500% in 2017. ARKW, with $242.8 million in assets, also features GBTC as its biggest name.\nBitcoin\'s huge gains begs the question - can the cryptocurrency\'s price keep rising?\nIt\'s possible, U.S. Global Investors CEO Frank Holmes said in a recent blog post, since the surge in new investors could result in higher ask prices.\n"Bitcoin may be very appealing right now, but it\'s important to keep in mind that this has been a very volatile market," Holmes said. "If I didn\'t readily have the money to buy Bitcoin, I wouldn\'t go into debt and certainly wouldn\'t mortgage my house to get my hands on it, as some people are reportedly doing."\nVanEck Vectors Rare Earth/Strategic Materials (REMX), up 79.5%, tracks metals such as cerium and tungsten that are used to produce batteries for a wide range of electronics. On a similar note, Global X Lithium & Battery Tech (LIT) rallied 63.3%, while Global X Robotics & Artificial Intelligence (BOTZ), which invests in the hot AI field , rose 59.5%.\nRELATED:\nBitcoin Reverses As Gold Keeps Rising; Apple Tests Support Again\nBitcoin Boosts Top Tech ETF; Will China Stay Red-Hot In 2018?\nForeign Markets Topped U.S. This Year; Will They Repeat In 2018?\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': 'Let\'s take a look at the best ETFs of 2017 : Growth stocks were the core of top-performing U.S. diversified ETFs last year, led by Innovator IBD 50 ( FFTY ), iShares Edge MSCI USA Momentum Factor ( MTUM ) and PowerShares QQQ Trust ( QQQ ). Nigel Green, founder and CEO of deVere Group, an independent financial consulting firm that oversees $12 billion in assets, expects global markets to continue rising this year. Rather than an aggressive tactical shift in strategy, Vanguard suggests investors remain disciplined, globally diversified and have "realistic" expectations on returns.', 'news_luhn_summary': 'Let\'s take a look at the best ETFs of 2017 : Growth stocks were the core of top-performing U.S. diversified ETFs last year, led by Innovator IBD 50 ( FFTY ), iShares Edge MSCI USA Momentum Factor ( MTUM ) and PowerShares QQQ Trust ( QQQ ). If 2017 was the year of tech, Bitcoin, artificial intelligence and emerging markets ETFs, what will 2018 bring ? Vanguard\'s View While it sees potential further upside, Vanguard advises caution in its December research report, citing tight global labor markets, inflation and monetary policy risk - particularly in the U.S. "For 2018 and beyond, our investment outlook is one of higher risks and lower returns," Vanguard said.', 'news_article_title': 'Will Bitcoin, AI Stay Atop The Hottest Market Trends In 2018?', 'news_lexrank_summary': "Let's take a look at the best ETFs of 2017 : Growth stocks were the core of top-performing U.S. diversified ETFs last year, led by Innovator IBD 50 ( FFTY ), iShares Edge MSCI USA Momentum Factor ( MTUM ) and PowerShares QQQ Trust ( QQQ ). If 2017 was the year of tech, Bitcoin, artificial intelligence and emerging markets ETFs, what will 2018 bring ? They also expect the global economy to keep expanding - and emerging markets to stay hot.", 'news_textrank_summary': "Let's take a look at the best ETFs of 2017 : Growth stocks were the core of top-performing U.S. diversified ETFs last year, led by Innovator IBD 50 ( FFTY ), iShares Edge MSCI USA Momentum Factor ( MTUM ) and PowerShares QQQ Trust ( QQQ ). Special Report: 2018 Personal Finance Action Plan & 2017 Stock Market Review While he expects reduced reward for risk going forward, he prefers to take economic risk in stocks vs. bonds due to tight spreads, low yields and a maturing cycle in the credit market. Nigel Green, founder and CEO of deVere Group, an independent financial consulting firm that oversees $12 billion in assets, expects global markets to continue rising this year."}, {'news_url': 'http://www.investors.com/etfs-and-funds/etfs/will-bitcoin-ai-stay-atop-the-hottest-market-trends-in-2018/?src=A00237A&ven=BenzingaCP&src=AURLAAM', 'news_author': None, 'news_article': None, 'news_publisher': "Investor's Business Daily", 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Will Bitcoin, AI Stay Atop The Hottest Market Trends In 2018?', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 103.45999908447266, 'high': 103.94000244140624, 'open': 103.86000061035156, 'close': 103.94000244140624, 'ema_50': 101.41848594743735, 'rsi_14': 59.60505102942289, 'target': 104.9800033569336, 'volume': 930700.0, 'ema_200': 93.7078102323666, 'adj_close': 100.4071807861328, 'rsi_lag_1': 53.79873354660183, 'rsi_lag_2': 65.77875612268959, 'rsi_lag_3': 68.66797115991561, 'rsi_lag_4': 68.43109513116373, 'rsi_lag_5': 70.70320241637816, 'macd_lag_1': 0.6160542770013677, 'macd_lag_2': 0.6830404465589055, 'macd_lag_3': 0.6995492918640878, 'macd_lag_4': 0.7318270442273587, 'macd_lag_5': 0.7898710038944756, 'macd_12_26_9': 0.6211674722359675, 'macds_12_26_9': 0.7028389237224866}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 104.9800033569336, '2018-01-04': 105.86000061035156, '2018-01-05': 106.70999908447266, '2018-01-08': 107.01000213623048, '2018-01-09': 107.41000366210938, '2018-01-10': 107.3000030517578, '2018-01-11': 108.02999877929688, '2018-01-12': 109.05999755859376, '2018-01-16': 108.81999969482422}, '1_month_later': {'2018-02-02': 108.93000030517578}, '3_months_later': {'2018-04-02': 102.58000183105467}, '6_months_later': {'2018-07-02': 110.16999816894533}, '12_months_later': {'2019-01-02': 99.55999755859376}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTRN
{'date': '2018-01-02', 'ticker': 'MTRN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 48.900001525878906, 'high': 50.900001525878906, 'open': 49.09999847412109, 'close': 50.0, 'ema_50': 47.74770463458354, 'rsi_14': 72.64147819940885, 'target': 49.75, 'volume': 366600.0, 'ema_200': 41.820360492600344, 'adj_close': 50.0, 'rsi_lag_1': 65.47615046952455, 'rsi_lag_2': 63.95347496187522, 'rsi_lag_3': 61.445777595162745, 'rsi_lag_4': 53.12502980230351, 'rsi_lag_5': 43.010738574370095, 'macd_lag_1': 0.08607857996102553, 'macd_lag_2': 0.10050321852540378, 'macd_lag_3': 0.08181584098025496, 'macd_lag_4': 0.07713761727129054, 'macd_lag_5': 0.05477161830569344, 'macd_12_26_9': 0.18547730588569777, 'macds_12_26_9': 0.10773291333046515}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 49.75, '2018-01-04': 51.04999923706055, '2018-01-05': 51.04999923706055, '2018-01-08': 50.75, '2018-01-09': 50.75, '2018-01-10': 50.84999847412109, '2018-01-11': 52.95000076293945, '2018-01-12': 52.70000076293945, '2018-01-16': 52.75}, '1_month_later': {'2018-02-02': 48.45000076293945}, '3_months_later': {'2018-04-02': 50.70000076293945}, '6_months_later': {'2018-07-02': 55.34999847412109}, '12_months_later': {'2019-01-02': 44.93000030517578}}
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.
MTR
{'date': '2018-01-02', 'ticker': 'MTR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.14999961853028, 'high': 18.75, 'open': 18.14999961853028, 'close': 18.64999961853028, 'ema_50': 16.15907347128567, 'rsi_14': 74.43608461857055, 'target': 19.299999237060547, 'volume': 17600.0, 'ema_200': 14.261159811890868, 'adj_close': 15.120542526245115, 'rsi_lag_1': 73.64340993577413, 'rsi_lag_2': 67.79660304638958, 'rsi_lag_3': 67.79660304638958, 'rsi_lag_4': 66.22515573381321, 'rsi_lag_5': 58.97434894228592, 'macd_lag_1': 0.45104223915583574, 'macd_lag_2': 0.330422097767304, 'macd_lag_3': 0.2480244322456926, 'macd_lag_4': 0.15961113419200146, 'macd_lag_5': 0.008805596611031419, 'macd_12_26_9': 0.5563594410981914, 'macds_12_26_9': 0.2281428680776857}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.299999237060547, '2018-01-04': 19.450000762939453, '2018-01-05': 19.549999237060547, '2018-01-08': 18.26000022888184, '2018-01-09': 17.75, '2018-01-10': 17.600000381469727, '2018-01-11': 18.0, '2018-01-12': 18.0, '2018-01-16': 17.899999618530273}, '1_month_later': {'2018-02-02': 15.56999969482422}, '3_months_later': {'2018-04-02': 14.949999809265137}, '6_months_later': {'2018-07-02': 14.449999809265137}, '12_months_later': {'2019-01-02': 11.880000114440918}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTNB
{'date': '2018-01-02', 'ticker': 'MTNB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.1599999666213991, 'high': 1.2999999523162842, 'open': 1.1599999666213991, 'close': 1.2400000095367432, 'ema_50': 1.326576729715365, 'rsi_14': 40.47619824776642, 'target': 1.2300000190734863, 'volume': 145800.0, 'ema_200': 1.573414828325207, 'adj_close': 1.2400000095367432, 'rsi_lag_1': 30.232567488013586, 'rsi_lag_2': 43.023259521108834, 'rsi_lag_3': 39.32584645907118, 'rsi_lag_4': 33.33333806385781, 'rsi_lag_5': 36.84211599529123, 'macd_lag_1': -0.01970625391965375, 'macd_lag_2': -0.004820544851216857, 'macd_lag_3': 0.003049148464721485, 'macd_lag_4': 0.015085749286458894, 'macd_lag_5': 0.03735667786806807, 'macd_12_26_9': -0.024762503995186202, 'macds_12_26_9': 0.010580676719782255}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.2300000190734863, '2018-01-04': 1.2200000286102295, '2018-01-05': 1.2100000381469729, '2018-01-08': 1.3200000524520874, '2018-01-09': 1.2699999809265137, '2018-01-10': 1.2899999618530271, '2018-01-11': 1.2999999523162842, '2018-01-12': 1.2699999809265137, '2018-01-16': 1.2200000286102295}, '1_month_later': {'2018-02-02': 0.9499999880790708}, '3_months_later': {'2018-04-02': 0.7400000095367432}, '6_months_later': {'2018-07-02': 0.4000000059604645}, '12_months_later': {'2019-01-02': 0.6100000143051147}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTN
{'date': '2018-01-02', 'ticker': 'MTN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/vail-resorts-enters-oversold-territory-2018-01-02', 'news_author': None, 'news_article': 'The DividendRank formula at Dividend Channel ranks a coverage universe of thousands of dividend stocks , according to a proprietary formula designed to identify those stocks that combine two important characteristics - strong fundamentals and a valuation that looks inexpensive. Vail Resorts Inc (Symbol: MTN) presently has an above average rank, in the top 50% of the coverage universe, which suggests it is among the top most "interesting" ideas that merit further research by investors.\nBut making Vail Resorts Inc an even more interesting and timely stock to look at, is the fact that in trading on Tuesday, shares of MTN entered into oversold territory, changing hands as low as $206.583 per share. We define oversold territory using the Relative Strength Index, or RSI, which is a technical analysis indicator used to measure momentum on a scale of zero to 100. A stock is considered to be oversold if the RSI reading falls below 30. In the case of Vail Resorts Inc, the RSI reading has hit 29.9 - by comparison, the universe of dividend stocks covered by Dividend Channel currently has an average RSI of 57.2. A falling stock price - all else being equal - creates a better opportunity for dividend investors to capture a higher yield. Indeed, MTN\'s recent annualized dividend of 4.212/share (currently paid in quarterly installments) works out to an annual yield of 1.99% based upon the recent $212.47 share price.\nA bullish investor could look at MTN\'s 29.9 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side. Among the fundamental datapoints dividend investors should investigate to decide if they are bullish on MTN is its dividend history. In general, dividends are not always predictable; but, looking at the history chart below can help in judging whether the most recent dividend is likely to continue.\nAccording to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nClick here to find out what 9 other oversold dividend stocks you need to know about »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'A bullish investor could look at MTN\'s 29.9 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side. Vail Resorts Inc (Symbol: MTN) presently has an above average rank, in the top 50% of the coverage universe, which suggests it is among the top most "interesting" ideas that merit further research by investors. But making Vail Resorts Inc an even more interesting and timely stock to look at, is the fact that in trading on Tuesday, shares of MTN entered into oversold territory, changing hands as low as $206.583 per share.', 'news_luhn_summary': 'Indeed, MTN\'s recent annualized dividend of 4.212/share (currently paid in quarterly installments) works out to an annual yield of 1.99% based upon the recent $212.47 share price. Vail Resorts Inc (Symbol: MTN) presently has an above average rank, in the top 50% of the coverage universe, which suggests it is among the top most "interesting" ideas that merit further research by investors. But making Vail Resorts Inc an even more interesting and timely stock to look at, is the fact that in trading on Tuesday, shares of MTN entered into oversold territory, changing hands as low as $206.583 per share.', 'news_article_title': 'Vail Resorts Enters Oversold Territory', 'news_lexrank_summary': 'But making Vail Resorts Inc an even more interesting and timely stock to look at, is the fact that in trading on Tuesday, shares of MTN entered into oversold territory, changing hands as low as $206.583 per share. Indeed, MTN\'s recent annualized dividend of 4.212/share (currently paid in quarterly installments) works out to an annual yield of 1.99% based upon the recent $212.47 share price. Vail Resorts Inc (Symbol: MTN) presently has an above average rank, in the top 50% of the coverage universe, which suggests it is among the top most "interesting" ideas that merit further research by investors.', 'news_textrank_summary': 'Vail Resorts Inc (Symbol: MTN) presently has an above average rank, in the top 50% of the coverage universe, which suggests it is among the top most "interesting" ideas that merit further research by investors. But making Vail Resorts Inc an even more interesting and timely stock to look at, is the fact that in trading on Tuesday, shares of MTN entered into oversold territory, changing hands as low as $206.583 per share. Indeed, MTN\'s recent annualized dividend of 4.212/share (currently paid in quarterly installments) works out to an annual yield of 1.99% based upon the recent $212.47 share price.'}, {'news_url': 'https://www.nasdaq.com/articles/mtn-dividend-yield-pushes-above-2-2018-01-02', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return. To illustrate, suppose for example you purchased shares of the iShares Russell 3000 ETF ( IWV ) back on 5/31/2000 - you would have paid $78.27 per share. Fast forward to 5/31/2012 and each share was worth $77.79 on that date, a loss of $0.48 or 0.6% decrease over twelve years. But now consider that you collected a whopping $10.77 per share in dividends over the same period, increasing your return to 13.15%. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 2% would appear considerably attractive if that yield is sustainable. Vail Resorts Inc (Symbol: MTN) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.\nIn general, dividend amounts are not always predictable and tend to follow the ups and downs of profitability at each company. In the case of Vail Resorts Inc, looking at the history chart for MTN below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.\nAccording to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading up by about 0.5% on the day Tuesday.\nClick here to find out which 9 other dividend stocks just recently went on sale »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Vail Resorts Inc (Symbol: MTN) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets. In the case of Vail Resorts Inc, looking at the history chart for MTN below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.', 'news_luhn_summary': 'Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Vail Resorts Inc (Symbol: MTN) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets. In the case of Vail Resorts Inc, looking at the history chart for MTN below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.', 'news_article_title': 'MTN Dividend Yield Pushes Above 2%', 'news_lexrank_summary': 'Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Vail Resorts Inc (Symbol: MTN) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets. In the case of Vail Resorts Inc, looking at the history chart for MTN below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.', 'news_textrank_summary': 'Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Vail Resorts Inc (Symbol: MTN) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets. In the case of Vail Resorts Inc, looking at the history chart for MTN below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 206.5800018310547, 'high': 213.57000732421875, 'open': 213.4100036621093, 'close': 210.4499969482422, 'ema_50': 221.66719568172536, 'rsi_14': 24.227000113788804, 'target': 212.58999633789065, 'volume': 1060600.0, 'ema_200': 210.40742871367289, 'adj_close': 196.527084350586, 'rsi_lag_1': 25.284740812145003, 'rsi_lag_2': 27.680798479449336, 'rsi_lag_3': 36.612051929859675, 'rsi_lag_4': 35.22610581983416, 'rsi_lag_5': 40.801813490673496, 'macd_lag_1': -3.3122563539297403, 'macd_lag_2': -3.1423108883612088, 'macd_lag_3': -3.112855288520194, 'macd_lag_4': -2.93529117353782, 'macd_lag_5': -2.785086736001489, 'macd_12_26_9': -3.5687979415210123, 'macds_12_26_9': -2.8969962453056057}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 212.58999633789065, '2018-01-04': 209.02999877929688, '2018-01-05': 207.2700042724609, '2018-01-08': 205.6600036621093, '2018-01-09': 213.32000732421875, '2018-01-10': 213.509994506836, '2018-01-11': 218.94000244140625, '2018-01-12': 222.3099975585937, '2018-01-16': 222.1600036621093}, '1_month_later': {'2018-02-02': 217.97999572753903}, '3_months_later': {'2018-04-02': 219.2700042724609}, '6_months_later': {'2018-07-02': 278.3800048828125}, '12_months_later': {'2019-01-02': 212.1199951171875}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTLS
{'date': '2018-01-02', 'ticker': 'MTLS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.359999656677246, 'high': 12.989999771118164, 'open': 12.600000381469728, 'close': 12.399999618530272, 'ema_50': 13.839760218182054, 'rsi_14': 44.378692548418705, 'target': 12.359999656677246, 'volume': 51500.0, 'ema_200': 12.869110980219983, 'adj_close': 12.399999618530272, 'rsi_lag_1': 41.13345320222726, 'rsi_lag_2': 38.31614534652791, 'rsi_lag_3': 34.587819562082316, 'rsi_lag_4': 29.24242717613295, 'rsi_lag_5': 35.014410924764434, 'macd_lag_1': -0.47852680010565507, 'macd_lag_2': -0.4840462149149154, 'macd_lag_3': -0.48201391280949046, 'macd_lag_4': -0.44186346798062637, 'macd_lag_5': -0.3953897602719323, 'macd_12_26_9': -0.49347855359938286, 'macds_12_26_9': -0.4412580363130381}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.359999656677246, '2018-01-04': 12.25, '2018-01-05': 12.119999885559082, '2018-01-08': 12.130000114440918, '2018-01-09': 12.789999961853027, '2018-01-10': 13.600000381469728, '2018-01-11': 13.90999984741211, '2018-01-12': 13.779999732971191, '2018-01-16': 13.18000030517578}, '1_month_later': {'2018-02-02': 12.550000190734863}, '3_months_later': {'2018-04-02': 11.460000038146973}, '6_months_later': {'2018-07-02': 12.789999961853027}, '12_months_later': {'2019-01-02': 20.059999465942383}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTL
{'date': '2018-01-02', 'ticker': 'MTL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.199999809265137, 'high': 5.329999923706055, 'open': 5.230000019073486, 'close': 5.309999942779541, 'ema_50': 4.767980195928416, 'rsi_14': 65.27196168544918, 'target': 5.480000019073486, 'volume': 236000.0, 'ema_200': 4.877885107048522, 'adj_close': 5.309999942779541, 'rsi_lag_1': 65.70247738472665, 'rsi_lag_2': 62.2727221496852, 'rsi_lag_3': 55.55554876300527, 'rsi_lag_4': 54.585151838216916, 'rsi_lag_5': 42.30770238455174, 'macd_lag_1': 0.03790160484371086, 'macd_lag_2': -0.015600728348055704, 'macd_lag_3': -0.05718949063251433, 'macd_lag_4': -0.1023127371517738, 'macd_lag_5': -0.13398188256393517, 'macd_12_26_9': 0.08337604130381404, 'macds_12_26_9': -0.02958327322485454}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.480000019073486, '2018-01-04': 5.539999961853027, '2018-01-05': 5.400000095367432, '2018-01-08': 5.429999828338623, '2018-01-09': 5.349999904632568, '2018-01-10': 5.360000133514404, '2018-01-11': 5.420000076293945, '2018-01-12': 5.400000095367432, '2018-01-16': 5.230000019073486}, '1_month_later': {'2018-02-02': 4.929999828338623}, '3_months_later': {'2018-04-02': 4.239999771118164}, '6_months_later': {'2018-07-02': 3.1700000762939453}, '12_months_later': {'2019-01-02': 2.0299999713897705}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTH
{'date': '2018-01-02', 'ticker': 'MTH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 51.54999923706055, 'high': 52.70000076293945, 'open': 51.79999923706055, 'close': 52.5, 'ema_50': 49.811443266729114, 'rsi_14': 61.49068028648632, 'target': 54.150001525878906, 'volume': 388600.0, 'ema_200': 44.43156941614993, 'adj_close': 52.5, 'rsi_lag_1': 48.026319421892254, 'rsi_lag_2': 53.59476733082307, 'rsi_lag_3': 49.29578524216891, 'rsi_lag_4': 45.45454095077108, 'rsi_lag_5': 33.50515200387605, 'macd_lag_1': 0.17712683472783652, 'macd_lag_2': 0.15695152877992058, 'macd_lag_3': 0.08819053090385864, 'macd_lag_4': 0.06023447598486342, 'macd_lag_5': 0.018585414827782643, 'macd_12_26_9': 0.29461880177756683, 'macds_12_26_9': 0.20224939210957688}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 54.150001525878906, '2018-01-04': 53.09999847412109, '2018-01-05': 53.650001525878906, '2018-01-08': 53.95000076293945, '2018-01-09': 53.79999923706055, '2018-01-10': 52.25, '2018-01-11': 53.45000076293945, '2018-01-12': 52.900001525878906, '2018-01-16': 51.34999847412109}, '1_month_later': {'2018-02-02': 48.95000076293945}, '3_months_later': {'2018-04-02': 43.04999923706055}, '6_months_later': {'2018-07-02': 44.150001525878906}, '12_months_later': {'2019-01-02': 37.68000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MTG
{'date': '2018-01-02', 'ticker': 'MTG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/noteworthy-etf-outflows-iwn-mtg-stl-umpq-2018-01-02', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the iShares Russell 2000 Value ETF (Symbol: IWN) where we have detected an approximate $56.6 million dollar outflow -- that's a 0.6% decrease week over week (from 76,150,000 to 75,700,000). Among the largest underlying components of IWN, in trading today MGIC Investment Corp. (Symbol: MTG) is up about 0.3%, Sterling Bancorp (Symbol: STL) is up about 0.4%, and Umpqua Holdings Corp (Symbol: UMPQ) is higher by about 0.7%. For a complete list of holdings, visit the IWN Holdings page » The chart below shows the one year price performance of IWN, versus its 200 day moving average:\nLooking at the chart above, IWN's low point in its 52 week range is $112.01 per share, with $129.59 as the 52 week high point - that compares with a last trade of $126.76. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average » .\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs experienced notable outflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Among the largest underlying components of IWN, in trading today MGIC Investment Corp. (Symbol: MTG) is up about 0.3%, Sterling Bancorp (Symbol: STL) is up about 0.4%, and Umpqua Holdings Corp (Symbol: UMPQ) is higher by about 0.7%. For a complete list of holdings, visit the IWN Holdings page » The chart below shows the one year price performance of IWN, versus its 200 day moving average: Looking at the chart above, IWN's low point in its 52 week range is $112.01 per share, with $129.59 as the 52 week high point - that compares with a last trade of $126.76. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "Among the largest underlying components of IWN, in trading today MGIC Investment Corp. (Symbol: MTG) is up about 0.3%, Sterling Bancorp (Symbol: STL) is up about 0.4%, and Umpqua Holdings Corp (Symbol: UMPQ) is higher by about 0.7%. For a complete list of holdings, visit the IWN Holdings page » The chart below shows the one year price performance of IWN, versus its 200 day moving average: Looking at the chart above, IWN's low point in its 52 week range is $112.01 per share, with $129.59 as the 52 week high point - that compares with a last trade of $126.76. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed).", 'news_article_title': 'Noteworthy ETF Outflows: IWN, MTG, STL, UMPQ', 'news_lexrank_summary': "Among the largest underlying components of IWN, in trading today MGIC Investment Corp. (Symbol: MTG) is up about 0.3%, Sterling Bancorp (Symbol: STL) is up about 0.4%, and Umpqua Holdings Corp (Symbol: UMPQ) is higher by about 0.7%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the iShares Russell 2000 Value ETF (Symbol: IWN) where we have detected an approximate $56.6 million dollar outflow -- that's a 0.6% decrease week over week (from 76,150,000 to 75,700,000). For a complete list of holdings, visit the IWN Holdings page » The chart below shows the one year price performance of IWN, versus its 200 day moving average: Looking at the chart above, IWN's low point in its 52 week range is $112.01 per share, with $129.59 as the 52 week high point - that compares with a last trade of $126.76.", 'news_textrank_summary': "Among the largest underlying components of IWN, in trading today MGIC Investment Corp. (Symbol: MTG) is up about 0.3%, Sterling Bancorp (Symbol: STL) is up about 0.4%, and Umpqua Holdings Corp (Symbol: UMPQ) is higher by about 0.7%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel , one standout is the iShares Russell 2000 Value ETF (Symbol: IWN) where we have detected an approximate $56.6 million dollar outflow -- that's a 0.6% decrease week over week (from 76,150,000 to 75,700,000). For a complete list of holdings, visit the IWN Holdings page » The chart below shows the one year price performance of IWN, versus its 200 day moving average: Looking at the chart above, IWN's low point in its 52 week range is $112.01 per share, with $129.59 as the 52 week high point - that compares with a last trade of $126.76."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.020000457763672, 'high': 14.260000228881836, 'open': 14.210000038146973, 'close': 14.260000228881836, 'ema_50': 14.270972020913407, 'rsi_14': 29.432624593166565, 'target': 14.130000114440918, 'volume': 3219900.0, 'ema_200': 12.395400685131793, 'adj_close': 13.957430839538574, 'rsi_lag_1': 26.5682493208147, 'rsi_lag_2': 31.578945336299554, 'rsi_lag_3': 29.18288284276612, 'rsi_lag_4': 32.520332452412234, 'rsi_lag_5': 33.99999008178324, 'macd_lag_1': -0.01193679007938897, 'macd_lag_2': 0.040212512046363, 'macd_lag_3': 0.07564360170955453, 'macd_lag_4': 0.12282080384822969, 'macd_lag_5': 0.16495869114911343, 'macd_12_26_9': -0.04069261601254048, 'macds_12_26_9': 0.10400831452894627}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.130000114440918, '2018-01-04': 14.279999732971191, '2018-01-05': 14.329999923706056, '2018-01-08': 14.479999542236328, '2018-01-09': 14.68000030517578, '2018-01-10': 14.739999771118164, '2018-01-11': 15.18000030517578, '2018-01-12': 15.119999885559082, '2018-01-16': 15.119999885559082}, '1_month_later': {'2018-02-02': 14.9399995803833}, '3_months_later': {'2018-04-02': 12.779999732971191}, '6_months_later': {'2018-07-02': 10.869999885559082}, '12_months_later': {'2019-01-02': 10.510000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MKTX
{'date': '2018-01-02', 'ticker': 'MKTX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 198.1999969482422, 'high': 203.97000122070312, 'open': 202.3600006103516, 'close': 203.6300048828125, 'ema_50': 192.95825796941574, 'rsi_14': 69.42383922649363, 'target': 200.94000244140625, 'volume': 391600.0, 'ema_200': 186.56711589222604, 'adj_close': 199.91458129882807, 'rsi_lag_1': 67.4559792769542, 'rsi_lag_2': 68.47112539258944, 'rsi_lag_3': 61.38841907323175, 'rsi_lag_4': 63.43327082908888, 'rsi_lag_5': 62.179479864431606, 'macd_lag_1': 3.663112673905971, 'macd_lag_2': 3.7760376969124536, 'macd_lag_3': 3.8591380629015646, 'macd_lag_4': 3.9915439096331795, 'macd_lag_5': 4.100446298489032, 'macd_12_26_9': 3.6828656787388354, 'macds_12_26_9': 3.7934998221973295}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 200.94000244140625, '2018-01-04': 206.5399932861328, '2018-01-05': 207.22999572753903, '2018-01-08': 207.4100036621093, '2018-01-09': 204.5599975585937, '2018-01-10': 206.3800048828125, '2018-01-11': 201.5200042724609, '2018-01-12': 203.72000122070312, '2018-01-16': 206.4600067138672}, '1_month_later': {'2018-02-02': 196.2899932861328}, '3_months_later': {'2018-04-02': 212.2700042724609}, '6_months_later': {'2018-07-02': 200.72000122070312}, '12_months_later': {'2019-01-02': 209.2100067138672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MKSI
{'date': '2018-01-02', 'ticker': 'MKSI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 94.4000015258789, 'high': 98.1500015258789, 'open': 95.0500030517578, 'close': 98.0999984741211, 'ema_50': 97.09587084218307, 'rsi_14': 64.8148104541612, 'target': 99.0, 'volume': 368900.0, 'ema_200': 85.72315705844964, 'adj_close': 98.0999984741211, 'rsi_lag_1': 51.111123669799376, 'rsi_lag_2': 49.46235971064068, 'rsi_lag_3': 58.035711041921765, 'rsi_lag_4': 61.15702062460199, 'rsi_lag_5': 68.93733083316359, 'macd_lag_1': -0.980172881782579, 'macd_lag_2': -0.9208212555892459, 'macd_lag_3': -0.9487642988924563, 'macd_lag_4': -0.955356692635192, 'macd_lag_5': -0.9091474588480679, 'macd_12_26_9': -0.7283240168271732, 'macds_12_26_9': -1.0605141258993105}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 99.0, '2018-01-04': 99.8000030517578, '2018-01-05': 101.5500030517578, '2018-01-08': 101.4499969482422, '2018-01-09': 97.9000015258789, '2018-01-10': 95.5, '2018-01-11': 96.0, '2018-01-12': 96.1999969482422, '2018-01-16': 97.6500015258789}, '1_month_later': {'2018-02-02': 106.6500015258789}, '3_months_later': {'2018-04-02': 110.6999969482422}, '6_months_later': {'2018-07-02': 96.5}, '12_months_later': {'2019-01-02': 66.12000274658203}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MKL
{'date': '2018-01-02', 'ticker': 'MKL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1112.1199951171875, 'high': 1139.8199462890625, 'open': 1139.8199462890625, 'close': 1116.31005859375, 'ema_50': 1102.3832318592015, 'rsi_14': 48.98789752548646, 'target': 1119.719970703125, 'volume': 32000.0, 'ema_200': 1039.7137922739905, 'adj_close': 1116.31005859375, 'rsi_lag_1': 65.50441567649077, 'rsi_lag_2': 65.56120226124423, 'rsi_lag_3': 66.8608442555379, 'rsi_lag_4': 61.20568929159184, 'rsi_lag_5': 57.84198176671295, 'macd_lag_1': 11.188845383642501, 'macd_lag_2': 10.970808660408693, 'macd_lag_3': 11.767994159398313, 'macd_lag_4': 11.948427031244364, 'macd_lag_5': 11.967257455287381, 'macd_12_26_9': 9.41176909093815, 'macds_12_26_9': 11.149154014596006}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1119.719970703125, '2018-01-04': 1118.3699951171875, '2018-01-05': 1117.3299560546875, '2018-01-08': 1116.719970703125, '2018-01-09': 1122.6600341796875, '2018-01-10': 1106.3299560546875, '2018-01-11': 1105.1700439453125, '2018-01-12': 1123.3699951171875, '2018-01-16': 1126.7099609375}, '1_month_later': {'2018-02-02': 1117.3699951171875}, '3_months_later': {'2018-04-02': 1159.6800537109375}, '6_months_later': {'2018-07-02': 1083.6099853515625}, '12_months_later': {'2019-01-02': 1022.239990234375}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MKGI
{'date': '2018-01-02', 'ticker': 'MKGI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.349999904632568, 'high': 6.224999904632568, 'open': 5.75, 'close': 6.224999904632568, 'ema_50': 5.788518540706062, 'rsi_14': 50.0, 'target': 5.875, 'volume': 4600.0, 'ema_200': 6.052220150238283, 'adj_close': 6.224999904632568, 'rsi_lag_1': 35.294124246878084, 'rsi_lag_2': 51.16279482390073, 'rsi_lag_3': 40.84507874660907, 'rsi_lag_4': 52.27273515433046, 'rsi_lag_5': 44.329896501785925, 'macd_lag_1': -0.08551194969869069, 'macd_lag_2': -0.10666137711216361, 'macd_lag_3': -0.13719522749127844, 'macd_lag_4': -0.1359901386662017, 'macd_lag_5': -0.13247396873068684, 'macd_12_26_9': -0.030075660048514585, 'macds_12_26_9': -0.08567522544966125}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.875, '2018-01-04': 5.625, '2018-01-05': 5.375, '2018-01-08': 5.875, '2018-01-09': 5.724999904632568, '2018-01-10': 5.5, '2018-01-11': 5.5, '2018-01-12': 5.5, '2018-01-16': 5.375}, '1_month_later': {'2018-02-02': 5.0}, '3_months_later': {'2018-04-02': 3.950000047683716}, '6_months_later': {'2018-07-02': 2.0}, '12_months_later': {'2019-01-02': 1.3700000047683716}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCB
{'date': '2018-01-02', 'ticker': 'MCB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 42.20000076293945, 'high': 45.4900016784668, 'open': 42.45000076293945, 'close': 45.4900016784668, 'ema_50': 42.30678857928431, 'rsi_14': 45.38248641685422, 'target': 45.209999084472656, 'volume': 172900.0, 'ema_200': 39.07430822283383, 'adj_close': 45.4900016784668, 'rsi_lag_1': 38.48214594381122, 'rsi_lag_2': 43.59541232170632, 'rsi_lag_3': 47.42615825936524, 'rsi_lag_4': 48.22876265419566, 'rsi_lag_5': 46.77419435301716, 'macd_lag_1': 0.390541392778502, 'macd_lag_2': 0.6207925880668128, 'macd_lag_3': 0.8028105494467326, 'macd_lag_4': 0.9918910243774022, 'macd_lag_5': 1.1851987746815098, 'macd_12_26_9': 0.47612214903571015, 'macds_12_26_9': 0.9438485207540623}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 45.209999084472656, '2018-01-04': 45.9900016784668, '2018-01-05': 45.81999969482422, '2018-01-08': 45.58000183105469, '2018-01-09': 45.66999816894531, '2018-01-10': 45.2400016784668, '2018-01-11': 44.86000061035156, '2018-01-12': 44.95000076293945, '2018-01-16': 44.81999969482422}, '1_month_later': {'2018-02-02': 46.70000076293945}, '3_months_later': {'2018-04-02': 42.5}, '6_months_later': {'2018-07-02': 53.47000122070313}, '12_months_later': {'2019-01-02': 30.309999465942383}}
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.
MCA
{'date': '2018-01-02', 'ticker': 'MCA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.609999656677246, 'high': 14.729999542236328, 'open': 14.729999542236328, 'close': 14.640000343322754, 'ema_50': 14.842180850223547, 'rsi_14': 35.71428571428562, 'target': 14.68000030517578, 'volume': 92900.0, 'ema_200': 15.058281527568571, 'adj_close': 13.115458488464355, 'rsi_lag_1': 38.181811876535555, 'rsi_lag_2': 31.74599570392475, 'rsi_lag_3': 24.561435796877717, 'rsi_lag_4': 33.33333333333333, 'rsi_lag_5': 43.24328852357185, 'macd_lag_1': -0.07482540698731022, 'macd_lag_2': -0.08193111885249316, 'macd_lag_3': -0.08879066060004881, 'macd_lag_4': -0.08912718807609821, 'macd_lag_5': -0.08927852916875878, 'macd_12_26_9': -0.07000094466146045, 'macds_12_26_9': -0.0793111078447298}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.68000030517578, '2018-01-04': 14.65999984741211, '2018-01-05': 14.6899995803833, '2018-01-08': 14.68000030517578, '2018-01-09': 14.640000343322754, '2018-01-10': 14.649999618530272, '2018-01-11': 14.670000076293944, '2018-01-12': 14.5600004196167, '2018-01-16': 14.5}, '1_month_later': {'2018-02-02': 13.890000343322754}, '3_months_later': {'2018-04-02': 13.329999923706056}, '6_months_later': {'2018-07-02': 13.420000076293944}, '12_months_later': {'2019-01-02': 12.81999969482422}}
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.
MC
{'date': '2018-01-02', 'ticker': 'MC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 48.25, 'high': 49.04999923706055, 'open': 48.70000076293945, 'close': 49.04999923706055, 'ema_50': 46.38437700675197, 'rsi_14': 59.42028745135569, 'target': 48.04999923706055, 'volume': 203800.0, 'ema_200': 41.11222028951028, 'adj_close': 41.30216979980469, 'rsi_lag_1': 52.592581289785876, 'rsi_lag_2': 61.151072423803484, 'rsi_lag_3': 64.00000813801672, 'rsi_lag_4': 61.935462276865024, 'rsi_lag_5': 60.40266772488125, 'macd_lag_1': 0.8646785455884682, 'macd_lag_2': 0.9427205236041232, 'macd_lag_3': 0.9777090770189574, 'macd_lag_4': 1.0132368027579446, 'macd_lag_5': 0.9572998109323549, 'macd_12_26_9': 0.8375552421726269, 'macds_12_26_9': 0.9302622924900851}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 48.04999923706055, '2018-01-04': 48.45000076293945, '2018-01-05': 48.54999923706055, '2018-01-08': 48.59999847412109, '2018-01-09': 49.29999923706055, '2018-01-10': 48.900001525878906, '2018-01-11': 49.59999847412109, '2018-01-12': 50.25, '2018-01-16': 49.900001525878906}, '1_month_later': {'2018-02-02': 50.84999847412109}, '3_months_later': {'2018-04-02': 50.0}, '6_months_later': {'2018-07-02': 59.150001525878906}, '12_months_later': {'2019-01-02': 35.459999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBWM
{'date': '2018-01-02', 'ticker': 'MBWM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.90999984741211, 'high': 36.959999084472656, 'open': 35.529998779296875, 'close': 35.290000915527344, 'ema_50': 35.69967320110451, 'rsi_14': 53.810981460310224, 'target': 35.02000045776367, 'volume': 35500.0, 'ema_200': 33.66920999925995, 'adj_close': 31.700496673583984, 'rsi_lag_1': 50.864546740271, 'rsi_lag_2': 51.98819521381428, 'rsi_lag_3': 46.842900987508955, 'rsi_lag_4': 47.826106849360556, 'rsi_lag_5': 45.248236851189915, 'macd_lag_1': 0.05433268574018513, 'macd_lag_2': 0.13513178518104496, 'macd_lag_3': 0.15484079654584804, 'macd_lag_4': 0.21236224114147007, 'macd_lag_5': 0.25010982889936884, 'macd_12_26_9': -0.01597223604673559, 'macds_12_26_9': 0.10428631516636694}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 35.02000045776367, '2018-01-04': 35.2599983215332, '2018-01-05': 35.099998474121094, '2018-01-08': 35.58000183105469, '2018-01-09': 35.41999816894531, '2018-01-10': 36.040000915527344, '2018-01-11': 36.63999938964844, '2018-01-12': 37.45000076293945, '2018-01-16': 36.15999984741211}, '1_month_later': {'2018-02-02': 35.31999969482422}, '3_months_later': {'2018-04-02': 33.5}, '6_months_later': {'2018-07-02': 37.369998931884766}, '12_months_later': {'2019-01-02': 29.1299991607666}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBUU
{'date': '2018-01-02', 'ticker': 'MBUU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.21999931335449, 'high': 29.979999542236328, 'open': 29.790000915527344, 'close': 29.700000762939453, 'ema_50': 29.90449158329099, 'rsi_14': 37.64322282574762, 'target': 28.700000762939453, 'volume': 141700.0, 'ema_200': 26.98381457402233, 'adj_close': 29.700000762939453, 'rsi_lag_1': 35.4391351868598, 'rsi_lag_2': 46.130515823169496, 'rsi_lag_3': 44.563548986258034, 'rsi_lag_4': 46.13095187411054, 'rsi_lag_5': 52.617796799101676, 'macd_lag_1': 0.023382631002416332, 'macd_lag_2': 0.05455420922048404, 'macd_lag_3': 0.02838319395408817, 'macd_lag_4': 0.007803087673735831, 'macd_lag_5': -0.012469074539751546, 'macd_12_26_9': -0.00369907940866554, 'macds_12_26_9': 0.0077638513052366315}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 28.700000762939453, '2018-01-04': 28.520000457763672, '2018-01-05': 28.920000076293945, '2018-01-08': 29.309999465942383, '2018-01-09': 28.39999961853028, '2018-01-10': 28.530000686645508, '2018-01-11': 29.1299991607666, '2018-01-12': 29.76000022888184, '2018-01-16': 29.07999992370605}, '1_month_later': {'2018-02-02': 31.46999931335449}, '3_months_later': {'2018-04-02': 32.459999084472656}, '6_months_later': {'2018-07-02': 43.43000030517578}, '12_months_later': {'2019-01-02': 34.849998474121094}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBT
{'date': '2018-01-02', 'ticker': 'MBT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.300000190734863, 'high': 10.489999771118164, 'open': 10.300000190734863, 'close': 10.369999885559082, 'ema_50': 10.075978488107543, 'rsi_14': 79.53666176574013, 'target': 10.4399995803833, 'volume': 1740800.0, 'ema_200': 9.80266836139903, 'adj_close': 8.169864654541016, 'rsi_lag_1': 78.96823850018903, 'rsi_lag_2': 72.4906945900461, 'rsi_lag_3': 59.032242781921305, 'rsi_lag_4': 68.53933226393261, 'rsi_lag_5': 61.01081851724718, 'macd_lag_1': -0.0006494498537197302, 'macd_lag_2': -0.02454194916367136, 'macd_lag_3': -0.0506077692700444, 'macd_lag_4': -0.07092295103223734, 'macd_lag_5': -0.14978461001578225, 'macd_12_26_9': 0.03243614460375355, 'macds_12_26_9': -0.10130234756876712}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.4399995803833, '2018-01-04': 10.619999885559082, '2018-01-05': 10.5, '2018-01-08': 10.68000030517578, '2018-01-09': 10.56999969482422, '2018-01-10': 10.670000076293944, '2018-01-11': 10.760000228881836, '2018-01-12': 10.949999809265137, '2018-01-16': 10.789999961853027}, '1_month_later': {'2018-02-02': 12.130000114440918}, '3_months_later': {'2018-04-02': 11.43000030517578}, '6_months_later': {'2018-07-02': 9.010000228881836}, '12_months_later': {'2019-01-02': 7.289999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBRX
{'date': '2018-01-02', 'ticker': 'MBRX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.7999999523162842, 'high': 1.8799999952316284, 'open': 1.8799999952316284, 'close': 1.830000042915344, 'ema_50': 1.8804317030900026, 'rsi_14': 55.35715007964671, 'target': 1.840000033378601, 'volume': 195900.0, 'ema_200': 2.129318769392961, 'adj_close': 1.830000042915344, 'rsi_lag_1': 55.357150079646736, 'rsi_lag_2': 53.91304023324386, 'rsi_lag_3': 59.61538946487623, 'rsi_lag_4': 43.66197608761717, 'rsi_lag_5': 58.33333436813651, 'macd_lag_1': 0.03048400931643891, 'macd_lag_2': 0.033608566114325056, 'macd_lag_3': 0.03048960941355383, 'macd_lag_4': 0.019447013625198295, 'macd_lag_5': 0.0050697802571491035, 'macd_12_26_9': 0.025295438502769718, 'macds_12_26_9': 0.011262289103998116}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.840000033378601, '2018-01-04': 1.809999942779541, '2018-01-05': 1.8049999475479128, '2018-01-08': 1.7799999713897705, '2018-01-09': 1.7599999904632568, '2018-01-10': 1.7999999523162842, '2018-01-11': 1.8899999856948853, '2018-01-12': 1.870000004768372, '2018-01-16': 1.809999942779541}, '1_month_later': {'2018-02-02': 1.7899999618530271}, '3_months_later': {'2018-04-02': 1.840000033378601}, '6_months_later': {'2018-07-02': 1.72599995136261}, '12_months_later': {'2019-01-02': 1.1200000047683716}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBOT
{'date': '2018-01-02', 'ticker': 'MBOT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.0, 'high': 15.449999809265137, 'open': 15.300000190734863, 'close': 15.149999618530272, 'ema_50': 16.46928583750428, 'rsi_14': 37.49999006589093, 'target': 16.350000381469727, 'volume': 44300.0, 'ema_200': 44.57107374246239, 'adj_close': 15.149999618530272, 'rsi_lag_1': 35.29412644682776, 'rsi_lag_2': 35.29412644682776, 'rsi_lag_3': 44.444436595267014, 'rsi_lag_4': 38.09521791164612, 'rsi_lag_5': 36.36363110922818, 'macd_lag_1': -0.3425828215225284, 'macd_lag_2': -0.3438177397160782, 'macd_lag_3': -0.3403929590872412, 'macd_lag_4': -0.34634321174824834, 'macd_lag_5': -0.34890017842832144, 'macd_12_26_9': -0.3496770728969256, 'macds_12_26_9': -0.34574049768567205}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.350000381469727, '2018-01-04': 15.75, '2018-01-05': 15.75, '2018-01-08': 16.200000762939453, '2018-01-09': 15.75, '2018-01-10': 16.049999237060547, '2018-01-11': 16.049999237060547, '2018-01-12': 15.899999618530272, '2018-01-16': 15.600000381469728}, '1_month_later': {'2018-02-02': 15.600000381469728}, '3_months_later': {'2018-04-02': 9.899999618530272}, '6_months_later': {'2018-07-02': 11.25}, '12_months_later': {'2019-01-02': 1.870000004768372}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCBC
{'date': '2018-01-02', 'ticker': 'MCBC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.949999809265137, 'high': 10.130000114440918, 'open': 9.989999771118164, 'close': 10.0, 'ema_50': 9.984111346516377, 'rsi_14': 53.043460954137515, 'target': 9.920000076293944, 'volume': 67600.0, 'ema_200': 9.6979979712542, 'adj_close': 9.337835311889648, 'rsi_lag_1': 52.58622319745401, 'rsi_lag_2': 50.8333518769888, 'rsi_lag_3': 52.03252725917988, 'rsi_lag_4': 50.79366881470414, 'rsi_lag_5': 47.407419442799984, 'macd_lag_1': 0.00620781477286414, 'macd_lag_2': 0.006742002425074389, 'macd_lag_3': 0.005289344384504346, 'macd_lag_4': 0.005394698812159149, 'macd_lag_5': 0.005450701026186167, 'macd_12_26_9': 0.005718547355627379, 'macds_12_26_9': 0.0023409587906297515}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.920000076293944, '2018-01-04': 9.90999984741211, '2018-01-05': 9.93000030517578, '2018-01-08': 9.899999618530272, '2018-01-09': 9.899999618530272, '2018-01-10': 10.09000015258789, '2018-01-11': 10.199999809265137, '2018-01-12': 10.210000038146973, '2018-01-16': 10.210000038146973}, '1_month_later': {'2018-02-02': 10.350000381469728}, '3_months_later': {'2018-04-02': 10.300000190734863}, '6_months_later': {'2018-07-02': 12.399999618530272}, '12_months_later': {'2019-01-02': 9.81999969482422}}
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.
MBIO
{'date': '2018-01-02', 'ticker': 'MBIO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.850000381469728, 'high': 12.199999809265137, 'open': 12.0600004196167, 'close': 12.050000190734863, 'ema_50': 10.790529806501006, 'rsi_14': 61.28265796504927, 'target': 11.619999885559082, 'volume': 121500.0, 'ema_200': 10.372172194295766, 'adj_close': 12.050000190734863, 'rsi_lag_1': 55.263153491807806, 'rsi_lag_2': 58.110882755825095, 'rsi_lag_3': 54.38971992199064, 'rsi_lag_4': 61.33056417475439, 'rsi_lag_5': 68.62069078914914, 'macd_lag_1': 0.43760343124809964, 'macd_lag_2': 0.42091303338221486, 'macd_lag_3': 0.41486946714098494, 'macd_lag_4': 0.4306484828233472, 'macd_lag_5': 0.417033311026378, 'macd_12_26_9': 0.45047937836317864, 'macds_12_26_9': 0.4051210039682943}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.619999885559082, '2018-01-04': 11.90999984741211, '2018-01-05': 11.890000343322756, '2018-01-08': 11.81999969482422, '2018-01-09': 11.710000038146973, '2018-01-10': 11.93000030517578, '2018-01-11': 12.380000114440918, '2018-01-12': 11.770000457763672, '2018-01-16': 11.300000190734863}, '1_month_later': {'2018-02-02': 11.25}, '3_months_later': {'2018-04-02': 10.989999771118164}, '6_months_later': {'2018-07-02': 6.869999885559082}, '12_months_later': {'2019-01-02': 3.0199999809265137}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBII
{'date': '2018-01-02', 'ticker': 'MBII', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.090000033378601, 'high': 1.159999966621399, 'open': 1.149999976158142, 'close': 1.1299999952316284, 'ema_50': 1.04266818041599, 'rsi_14': 69.04760080131287, 'target': 1.1399999856948853, 'volume': 136100.0, 'ema_200': 1.2257054090173298, 'adj_close': 1.1299999952316284, 'rsi_lag_1': 67.49998845161142, 'rsi_lag_2': 68.29266555249681, 'rsi_lag_3': 65.11627681323807, 'rsi_lag_4': 61.36363143763595, 'rsi_lag_5': 55.102045533059886, 'macd_lag_1': 0.01594135732882629, 'macd_lag_2': 0.012615018915249854, 'macd_lag_3': 0.013276826711212664, 'macd_lag_4': 0.009855681110460646, 'macd_lag_5': 0.0063638807565165045, 'macd_12_26_9': 0.020758955144586366, 'macds_12_26_9': 0.00894514867036448}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.1399999856948853, '2018-01-04': 1.1399999856948853, '2018-01-05': 1.190000057220459, '2018-01-08': 1.3200000524520874, '2018-01-09': 1.25, '2018-01-10': 1.2300000190734863, '2018-01-11': 1.2699999809265137, '2018-01-12': 1.2599999904632568, '2018-01-16': 1.2200000286102295}, '1_month_later': {'2018-02-02': 1.0399999618530271}, '3_months_later': {'2018-04-02': 2.180000066757202}, '6_months_later': {'2018-07-02': 1.870000004768372}, '12_months_later': {'2019-01-02': 1.4900000095367432}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBI
{'date': '2018-01-02', 'ticker': 'MBI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.269999980926514, 'high': 7.570000171661377, 'open': 7.320000171661377, 'close': 7.539999961853027, 'ema_50': 7.992765104079663, 'rsi_14': 41.348973402001604, 'target': 7.5, 'volume': 1776000.0, 'ema_200': 8.641128529602138, 'adj_close': 7.539999961853027, 'rsi_lag_1': 38.27161311448871, 'rsi_lag_2': 39.99999999999999, 'rsi_lag_3': 37.575755649144014, 'rsi_lag_4': 37.8048867359505, 'rsi_lag_5': 36.15160633567511, 'macd_lag_1': -0.1931673852519431, 'macd_lag_2': -0.1774585282549328, 'macd_lag_3': -0.17009978789085167, 'macd_lag_4': -0.1602695422420748, 'macd_lag_5': -0.16066411780061873, 'macd_12_26_9': -0.1857237157585061, 'macds_12_26_9': -0.16096295898643115}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 7.5, '2018-01-04': 7.760000228881836, '2018-01-05': 7.699999809265137, '2018-01-08': 7.480000019073486, '2018-01-09': 7.28000020980835, '2018-01-10': 7.389999866485596, '2018-01-11': 7.559999942779541, '2018-01-12': 7.46999979019165, '2018-01-16': 7.389999866485596}, '1_month_later': {'2018-02-02': 7.239999771118164}, '3_months_later': {'2018-04-02': 8.90999984741211}, '6_months_later': {'2018-07-02': 8.899999618530273}, '12_months_later': {'2019-01-02': 8.90999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBCN
{'date': '2018-01-02', 'ticker': 'MBCN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.100000381469727, 'high': 24.600000381469727, 'open': 24.200000762939453, 'close': 24.600000381469727, 'ema_50': 23.452405321517553, 'rsi_14': 66.0287179150217, 'target': 23.799999237060547, 'volume': 7000.0, 'ema_200': 22.691441390326908, 'adj_close': 22.789093017578125, 'rsi_lag_1': 60.20407845506366, 'rsi_lag_2': 69.38773762530586, 'rsi_lag_3': 71.71715614857592, 'rsi_lag_4': 67.03908590562325, 'rsi_lag_5': 78.61631719438199, 'macd_lag_1': 0.44039533262503383, 'macd_lag_2': 0.4831573569099561, 'macd_lag_3': 0.4848914410547742, 'macd_lag_4': 0.46986993956190304, 'macd_lag_5': 0.49986249176353326, 'macd_12_26_9': 0.44175961180208745, 'macds_12_26_9': 0.4177127150546621}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.799999237060547, '2018-01-04': 24.225000381469727, '2018-01-05': 24.450000762939453, '2018-01-08': 23.82999992370605, '2018-01-09': 24.125, '2018-01-10': 24.25, '2018-01-11': 24.475000381469727, '2018-01-12': 24.700000762939453, '2018-01-16': 24.5}, '1_month_later': {'2018-02-02': 24.77499961853028}, '3_months_later': {'2018-04-02': 24.225000381469727}, '6_months_later': {'2018-07-02': 24.89999961853028}, '12_months_later': {'2019-01-02': 21.2450008392334}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBB
{'date': '2018-01-02', 'ticker': 'MBB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 106.41999816894533, 'high': 106.54000091552734, 'open': 106.52999877929688, 'close': 106.5199966430664, 'ema_50': 106.63245282085587, 'rsi_14': 53.19138574752429, 'target': 106.55999755859376, 'volume': 497400.0, 'ema_200': 106.97633749753321, 'adj_close': 106.5199966430664, 'rsi_lag_1': 51.723992780961005, 'rsi_lag_2': 47.445243279666315, 'rsi_lag_3': 47.44524327966829, 'rsi_lag_4': 44.61535752852246, 'rsi_lag_5': 43.74977647970436, 'macd_lag_1': -0.060412863292981456, 'macd_lag_2': -0.07844511123310838, 'macd_lag_3': -0.09013813416642336, 'macd_lag_4': -0.11087882495918677, 'macd_lag_5': -0.11130255944236467, 'macd_12_26_9': -0.05118058927124025, 'macds_12_26_9': -0.07619167193052255}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 106.55999755859376, '2018-01-04': 106.51000213623048, '2018-01-05': 106.45999908447266, '2018-01-08': 106.41000366210938, '2018-01-09': 106.12000274658205, '2018-01-10': 106.12000274658205, '2018-01-11': 106.18000030517578, '2018-01-12': 106.16000366210938, '2018-01-16': 106.1500015258789}, '1_month_later': {'2018-02-02': 104.58000183105467}, '3_months_later': {'2018-04-02': 104.38999938964844}, '6_months_later': {'2018-07-02': 103.8000030517578}, '12_months_later': {'2019-01-02': 104.83999633789062}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MAYS
{'date': '2018-01-02', 'ticker': 'MAYS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 39.0, 'high': 39.0, 'open': 39.0, 'close': 39.0, 'ema_50': 38.990442449476085, 'rsi_14': 69.00001525878916, 'target': 39.0, 'volume': 0.0, 'ema_200': 40.27091325477063, 'adj_close': 39.0, 'rsi_lag_1': 69.00001525878916, 'rsi_lag_2': 55.71430751255592, 'rsi_lag_3': 46.03174795399114, 'rsi_lag_4': 14.563130767568936, 'rsi_lag_5': 6.713737098428467, 'macd_lag_1': -0.6739807826797204, 'macd_lag_2': -0.8994645011564302, 'macd_lag_3': -1.0214533272680555, 'macd_lag_4': -1.1113888351084569, 'macd_lag_5': -1.1081954093322466, 'macd_12_26_9': -0.48963905700503574, 'macds_12_26_9': -0.8711040882116331}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 39.0, '2018-01-04': 39.0, '2018-01-05': 35.5, '2018-01-08': 35.5, '2018-01-09': 35.5, '2018-01-10': 37.09999847412109, '2018-01-11': 37.09999847412109, '2018-01-12': 37.09999847412109, '2018-01-16': 37.09999847412109}, '1_month_later': {'2018-02-02': 38.0}, '3_months_later': {'2018-04-02': 37.25}, '6_months_later': {'2018-07-02': 40.20000076293945}, '12_months_later': {'2019-01-02': 40.0}}
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.
MAV
{'date': '2018-01-02', 'ticker': 'MAV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.380000114440918, 'high': 11.4399995803833, 'open': 11.420000076293944, 'close': 11.4399995803833, 'ema_50': 11.454634261752402, 'rsi_14': 38.571337096270824, 'target': 11.479999542236328, 'volume': 60900.0, 'ema_200': 11.577672826109547, 'adj_close': 10.088322639465332, 'rsi_lag_1': 29.411706957220503, 'rsi_lag_2': 34.246469755975525, 'rsi_lag_3': 42.10524334464772, 'rsi_lag_4': 46.3414237016896, 'rsi_lag_5': 51.72413037115629, 'macd_lag_1': -0.026378878859782517, 'macd_lag_2': -0.02464823516875647, 'macd_lag_3': -0.022080784709753942, 'macd_lag_4': -0.022555332644067505, 'macd_lag_5': -0.017742022294218174, 'macd_12_26_9': -0.021850161037889393, 'macds_12_26_9': -0.014738101954028165}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.479999542236328, '2018-01-04': 11.470000267028809, '2018-01-05': 11.449999809265137, '2018-01-08': 11.489999771118164, '2018-01-09': 11.449999809265137, '2018-01-10': 11.380000114440918, '2018-01-11': 11.369999885559082, '2018-01-12': 11.350000381469728, '2018-01-16': 11.390000343322754}, '1_month_later': {'2018-02-02': 10.720000267028809}, '3_months_later': {'2018-04-02': 10.729999542236328}, '6_months_later': {'2018-07-02': 10.979999542236328}, '12_months_later': {'2019-01-02': 10.4399995803833}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MATX
{'date': '2018-01-02', 'ticker': 'MATX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.979999542236328, 'high': 30.920000076293945, 'open': 30.100000381469727, 'close': 30.850000381469727, 'ema_50': 28.74763311472559, 'rsi_14': 70.20110849397894, 'target': 29.450000762939453, 'volume': 240000.0, 'ema_200': 29.65401638651561, 'adj_close': 29.077112197875977, 'rsi_lag_1': 64.4104832590522, 'rsi_lag_2': 69.5754797614013, 'rsi_lag_3': 73.52246907545843, 'rsi_lag_4': 72.34570017604125, 'rsi_lag_5': 59.67414248943573, 'macd_lag_1': 0.5721072505745894, 'macd_lag_2': 0.609153650007844, 'macd_lag_3': 0.5976870245886907, 'macd_lag_4': 0.5570487127461163, 'macd_lag_5': 0.5184586475006832, 'macd_12_26_9': 0.617132371834554, 'macds_12_26_9': 0.5151452303740691}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 29.450000762939453, '2018-01-04': 29.850000381469727, '2018-01-05': 29.440000534057617, '2018-01-08': 30.280000686645508, '2018-01-09': 30.790000915527344, '2018-01-10': 30.799999237060547, '2018-01-11': 31.75, '2018-01-12': 31.700000762939453, '2018-01-16': 30.959999084472656}, '1_month_later': {'2018-02-02': 34.40999984741211}, '3_months_later': {'2018-04-02': 28.06999969482422}, '6_months_later': {'2018-07-02': 39.20000076293945}, '12_months_later': {'2019-01-02': 32.25}}
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.
MAT
{'date': '2018-01-02', 'ticker': 'MAT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, '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': 16.260000228881836, 'open': 15.420000076293944, 'close': 16.020000457763672, 'ema_50': 16.00165268709675, 'rsi_14': 55.462189857488994, 'target': 16.139999389648438, 'volume': 4582200.0, 'ema_200': 19.05500847057608, 'adj_close': 16.020000457763672, 'rsi_lag_1': 53.01418607608292, 'rsi_lag_2': 49.57983031649006, 'rsi_lag_3': 53.898305029952645, 'rsi_lag_4': 48.254935228294286, 'rsi_lag_5': 43.14789610670592, 'macd_lag_1': -0.25638940481738537, 'macd_lag_2': -0.25773316635727994, 'macd_lag_3': -0.25162672527796737, 'macd_lag_4': -0.2686817245624855, 'macd_lag_5': -0.2967238646780057, 'macd_12_26_9': -0.20136062517129538, 'macds_12_26_9': -0.2391468300755336}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.139999389648438, '2018-01-04': 15.90999984741211, '2018-01-05': 16.260000228881836, '2018-01-08': 15.8100004196167, '2018-01-09': 15.81999969482422, '2018-01-10': 15.68000030517578, '2018-01-11': 15.479999542236328, '2018-01-12': 15.289999961853027, '2018-01-16': 15.119999885559082}, '1_month_later': {'2018-02-02': 16.530000686645508}, '3_months_later': {'2018-04-02': 13.06999969482422}, '6_months_later': {'2018-07-02': 16.540000915527344}, '12_months_later': {'2019-01-02': 9.760000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MBIN
{'date': '2018-01-02', 'ticker': 'MBIN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.600000381469727, 'high': 20.06999969482422, 'open': 19.770000457763672, 'close': 19.959999084472656, 'ema_50': 18.842856197403663, 'rsi_14': 33.10577516463073, 'target': 19.6200008392334, 'volume': 84400.0, 'ema_200': 17.548747170458974, 'adj_close': 19.265867233276367, 'rsi_lag_1': 44.47593338441203, 'rsi_lag_2': 46.45892611487955, 'rsi_lag_3': 51.53847094352542, 'rsi_lag_4': 56.55340480021928, 'rsi_lag_5': 58.85057531743088, 'macd_lag_1': 0.3910828703596678, 'macd_lag_2': 0.43996485440485245, 'macd_lag_3': 0.48882931086725634, 'macd_lag_4': 0.5440878816848382, 'macd_lag_5': 0.5965220494996721, 'macd_12_26_9': 0.37066431972276703, 'macds_12_26_9': 0.5102615286422799}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.6200008392334, '2018-01-04': 19.63999938964844, '2018-01-05': 19.68000030517578, '2018-01-08': 20.31999969482422, '2018-01-09': 19.76000022888184, '2018-01-10': 20.01000022888184, '2018-01-11': 20.030000686645508, '2018-01-12': 21.13999938964844, '2018-01-16': 21.450000762939453}, '1_month_later': {'2018-02-02': 20.600000381469727}, '3_months_later': {'2018-04-02': 21.739999771118164}, '6_months_later': {'2018-07-02': 28.26000022888184}, '12_months_later': {'2019-01-02': 20.07999992370605}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MASI
{'date': '2018-01-02', 'ticker': 'MASI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, '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/18/01/10971221/masimo-announces-ce-mark-release-of-oxygen-reserve-index-rainbow-lite-sensors', 'news_author': None, 'news_article': None, 'news_publisher': 'Charles Gross', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Masimo Announces CE Mark, Release of Oxygen Reserve Index Rainbow Lite Sensors', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320568-masimo-announces-ce-marking-release-ori-rainbow-lite-sensors?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Masimo announces CE marking and release of ORi rainbow Lite Sensors', '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': 84.94999694824219, 'high': 86.66999816894531, 'open': 85.3499984741211, 'close': 86.04000091552734, 'ema_50': 86.65469558652218, 'rsi_14': 52.19869964866284, 'target': 86.4800033569336, 'volume': 378300.0, 'ema_200': 84.91769532369018, 'adj_close': 86.04000091552734, 'rsi_lag_1': 44.800710313294175, 'rsi_lag_2': 50.80935257968485, 'rsi_lag_3': 47.558918991123456, 'rsi_lag_4': 44.628757591718326, 'rsi_lag_5': 41.55431323435099, 'macd_lag_1': -0.34282692870476694, 'macd_lag_2': -0.23391310809583388, 'macd_lag_3': -0.1831328376792669, 'macd_lag_4': -0.20016427405234083, 'macd_lag_5': -0.24139122405391333, 'macd_12_26_9': -0.32533420154548764, 'macds_12_26_9': -0.24845408416743675}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 86.4800033569336, '2018-01-04': 87.79000091552734, '2018-01-05': 89.08999633789062, '2018-01-08': 87.69999694824219, '2018-01-09': 88.47000122070312, '2018-01-10': 86.0999984741211, '2018-01-11': 85.77999877929688, '2018-01-12': 85.66999816894531, '2018-01-16': 86.63999938964844}, '1_month_later': {'2018-02-02': 92.87999725341795}, '3_months_later': {'2018-04-02': 85.43000030517578}, '6_months_later': {'2018-07-02': 97.8499984741211}, '12_months_later': {'2019-01-02': 105.5199966430664}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCC
{'date': '2018-01-02', 'ticker': 'MCC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.230000019073486, 'high': 5.340000152587891, 'open': 5.25, 'close': 5.320000171661377, 'ema_50': 5.593768367141578, 'rsi_14': 45.0450589774718, 'target': 5.21999979019165, 'volume': 153800.0, 'ema_200': 6.197147415378025, 'adj_close': 4.028396129608154, 'rsi_lag_1': 32.258052111409214, 'rsi_lag_2': 26.315778466357017, 'rsi_lag_3': 27.027009611493582, 'rsi_lag_4': 27.777765513441295, 'rsi_lag_5': 29.999985694878433, 'macd_lag_1': -0.13686190731287518, 'macd_lag_2': -0.13702304147510436, 'macd_lag_3': -0.12199931810105547, 'macd_lag_4': -0.11632173679979196, 'macd_lag_5': -0.1124740544602778, 'macd_12_26_9': -0.12719874433561884, 'macds_12_26_9': -0.11906957838969806}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.21999979019165, '2018-01-04': 5.239999771118164, '2018-01-05': 5.239999771118164, '2018-01-08': 5.21999979019165, '2018-01-09': 5.170000076293945, '2018-01-10': 5.150000095367432, '2018-01-11': 5.230000019073486, '2018-01-12': 5.269999980926514, '2018-01-16': 5.340000152587891}, '1_month_later': {'2018-02-02': 5.039999961853027}, '3_months_later': {'2018-04-02': 4.050000190734863}, '6_months_later': {'2018-07-02': 3.5}, '12_months_later': {'2019-01-02': 2.619999885559082}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MDC
{'date': '2018-01-02', 'ticker': 'MDC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.8700008392334, 'high': 32.61000061035156, 'open': 32.18000030517578, 'close': 32.560001373291016, 'ema_50': 31.807547976892835, 'rsi_14': 63.9151086625494, 'target': 34.38999938964844, 'volume': 536700.0, 'ema_200': 30.46242300474713, 'adj_close': 29.73577880859375, 'rsi_lag_1': 50.497499809028014, 'rsi_lag_2': 53.787892288774444, 'rsi_lag_3': 55.474461023266876, 'rsi_lag_4': 50.332601830631674, 'rsi_lag_5': 37.614672798647966, 'macd_lag_1': -0.017840825541707517, 'macd_lag_2': -0.027534753991364624, 'macd_lag_3': -0.05579831400287816, 'macd_lag_4': -0.06560673694116659, 'macd_lag_5': -0.07615336637710612, 'macd_12_26_9': 0.0442026376392235, 'macds_12_26_9': -0.030818146227566384}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 34.38999938964844, '2018-01-04': 33.88999938964844, '2018-01-05': 34.400001525878906, '2018-01-08': 34.369998931884766, '2018-01-09': 34.58000183105469, '2018-01-10': 33.529998779296875, '2018-01-11': 34.34000015258789, '2018-01-12': 34.119998931884766, '2018-01-16': 33.63999938964844}, '1_month_later': {'2018-02-02': 32.0099983215332}, '3_months_later': {'2018-04-02': 27.14999961853028}, '6_months_later': {'2018-07-02': 30.6200008392334}, '12_months_later': {'2019-01-02': 28.56999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MD
{'date': '2018-01-02', 'ticker': 'MD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 53.290000915527344, 'high': 54.900001525878906, 'open': 53.5099983215332, 'close': 54.7400016784668, 'ema_50': 49.54447899580461, 'rsi_14': 77.08673466520905, 'target': 54.560001373291016, 'volume': 763000.0, 'ema_200': 52.071714364250575, 'adj_close': 54.7400016784668, 'rsi_lag_1': 67.92827761874759, 'rsi_lag_2': 71.75437903763901, 'rsi_lag_3': 73.037531775558, 'rsi_lag_4': 71.88610215509927, 'rsi_lag_5': 76.51513126381292, 'macd_lag_1': 1.399477013188097, 'macd_lag_2': 1.4151400256705315, 'macd_lag_3': 1.422693122894735, 'macd_lag_4': 1.40858548221766, 'macd_lag_5': 1.4047086839119558, 'macd_12_26_9': 1.4749609133698627, 'macds_12_26_9': 1.4277456892699616}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 54.560001373291016, '2018-01-04': 54.61000061035156, '2018-01-05': 54.5, '2018-01-08': 53.47999954223633, '2018-01-09': 53.33000183105469, '2018-01-10': 53.400001525878906, '2018-01-11': 54.16999816894531, '2018-01-12': 54.220001220703125, '2018-01-16': 53.5099983215332}, '1_month_later': {'2018-02-02': 51.47999954223633}, '3_months_later': {'2018-04-02': 54.41999816894531}, '6_months_later': {'2018-07-02': 43.119998931884766}, '12_months_later': {'2019-01-02': 32.7599983215332}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCY
{'date': '2018-01-02', 'ticker': 'MCY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.0, 'high': 53.45000076293945, 'open': 53.45000076293945, 'close': 52.08000183105469, 'ema_50': 54.26144326298667, 'rsi_14': 39.42469679268298, 'target': 51.83000183105469, 'volume': 208400.0, 'ema_200': 55.80780277153409, 'adj_close': 45.888221740722656, 'rsi_lag_1': 48.54163305626433, 'rsi_lag_2': 42.37918110178157, 'rsi_lag_3': 38.285710133659876, 'rsi_lag_4': 36.194025867363706, 'rsi_lag_5': 32.19047342243988, 'macd_lag_1': -0.472286229892525, 'macd_lag_2': -0.5413386242689242, 'macd_lag_3': -0.6165097416920062, 'macd_lag_4': -0.6759970523514482, 'macd_lag_5': -0.7349645664495554, 'macd_12_26_9': -0.5212929447222692, 'macds_12_26_9': -0.5987338559817471}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 51.83000183105469, '2018-01-04': 52.16999816894531, '2018-01-05': 52.130001068115234, '2018-01-08': 51.95000076293945, '2018-01-09': 51.83000183105469, '2018-01-10': 52.810001373291016, '2018-01-11': 52.95000076293945, '2018-01-12': 53.68999862670898, '2018-01-16': 51.310001373291016}, '1_month_later': {'2018-02-02': 48.97999954223633}, '3_months_later': {'2018-04-02': 44.47999954223633}, '6_months_later': {'2018-07-02': 44.459999084472656}, '12_months_later': {'2019-01-02': 50.709999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCX
{'date': '2018-01-02', 'ticker': 'MCX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.76000022888184, 'high': 25.940000534057617, 'open': 25.940000534057617, 'close': 25.76000022888184, 'ema_50': 25.83758623147854, 'rsi_14': 45.55557674823745, 'target': 25.770000457763672, 'volume': 1100.0, 'ema_200': 25.827282040317268, 'adj_close': 22.262678146362305, 'rsi_lag_1': 48.27583182975161, 'rsi_lag_2': 48.27583182975161, 'rsi_lag_3': 40.7767134119355, 'rsi_lag_4': 50.877210594120854, 'rsi_lag_5': 51.30437378614208, 'macd_lag_1': 0.0008853039986540523, 'macd_lag_2': 0.0039887859520071345, 'macd_lag_3': 0.007891938758628925, 'macd_lag_4': 0.012758989231684836, 'macd_lag_5': 0.01369450456135013, 'macd_12_26_9': -0.0047470919619492236, 'macds_12_26_9': 0.004365889500811438}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.770000457763672, '2018-01-04': 25.96999931335449, '2018-01-05': 25.90699958801269, '2018-01-08': 25.84000015258789, '2018-01-09': 25.989999771118164, '2018-01-10': 25.989999771118164, '2018-01-11': 25.520000457763672, '2018-01-12': 25.489999771118164, '2018-01-16': 25.530000686645508}, '1_month_later': {'2018-02-02': 25.32999992370605}, '3_months_later': {'2018-04-02': 25.64999961853028}, '6_months_later': {'2018-07-02': 25.549999237060547}, '12_months_later': {'2019-01-02': 24.850000381469727}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCV
{'date': '2018-01-02', 'ticker': 'MCV', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.049999237060547, 'high': 25.239999771118164, 'open': 25.239999771118164, 'close': 25.049999237060547, 'ema_50': 25.188988752215092, 'rsi_14': 39.99999999999977, 'target': 25.100000381469727, 'volume': 5300.0, 'ema_200': 25.22003200783178, 'adj_close': 21.333829879760746, 'rsi_lag_1': 45.04502027630752, 'rsi_lag_2': 28.42107799242646, 'rsi_lag_3': 33.70794463124939, 'rsi_lag_4': 33.70794463124912, 'rsi_lag_5': 23.37664911246425, 'macd_lag_1': -0.04780946000364139, 'macd_lag_2': -0.06443977520891409, 'macd_lag_3': -0.06131066376745764, 'macd_lag_4': -0.0655886401363297, 'macd_lag_5': -0.0711130821495054, 'macd_12_26_9': -0.04939191137728116, 'macds_12_26_9': -0.04832966569829293}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.100000381469727, '2018-01-04': 25.200000762939453, '2018-01-05': 25.1299991607666, '2018-01-08': 25.100000381469727, '2018-01-09': 25.06999969482422, '2018-01-10': 25.040000915527344, '2018-01-11': 25.040000915527344, '2018-01-12': 25.059999465942383, '2018-01-16': 25.09000015258789}, '1_month_later': {'2018-02-02': 25.13999938964844}, '3_months_later': {'2018-04-02': 25.040000915527344}, '6_months_later': {'2018-07-02': 24.690000534057617}, '12_months_later': {'2019-01-02': 24.739999771118164}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCS
{'date': '2018-01-02', 'ticker': 'MCS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.39999961853028, 'high': 28.049999237060547, 'open': 27.450000762939453, 'close': 27.89999961853028, 'ema_50': 27.602882052236033, 'rsi_14': 50.0, 'target': 26.75, 'volume': 76500.0, 'ema_200': 27.978777885687204, 'adj_close': 26.753774642944336, 'rsi_lag_1': 45.71429505640487, 'rsi_lag_2': 42.05608676121417, 'rsi_lag_3': 38.67923645584346, 'rsi_lag_4': 37.962951516254, 'rsi_lag_5': 35.6521724708135, 'macd_lag_1': -0.10229284921303972, 'macd_lag_2': -0.08699627038794588, 'macd_lag_3': -0.050934184686109774, 'macd_lag_4': 0.01619872506805109, 'macd_lag_5': 0.07110373519801882, 'macd_12_26_9': -0.06923703480378407, 'macds_12_26_9': 0.007594379432282968}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.75, '2018-01-04': 26.64999961853028, '2018-01-05': 26.39999961853028, '2018-01-08': 26.700000762939453, '2018-01-09': 26.5, '2018-01-10': 26.64999961853028, '2018-01-11': 27.299999237060547, '2018-01-12': 27.299999237060547, '2018-01-16': 27.0}, '1_month_later': {'2018-02-02': 25.75}, '3_months_later': {'2018-04-02': 29.600000381469727}, '6_months_later': {'2018-07-02': 33.04999923706055}, '12_months_later': {'2019-01-02': 39.58000183105469}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCRO
{'date': '2018-01-02', 'ticker': 'MCRO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.700000762939453, 'high': 26.700000762939453, 'open': 26.700000762939453, 'close': 26.700000762939453, 'ema_50': 26.39270682078398, 'rsi_14': 67.08869928003392, 'target': 26.84000015258789, 'volume': 3600.0, 'ema_200': 25.83106929243709, 'adj_close': 26.05045509338379, 'rsi_lag_1': 60.60607812084594, 'rsi_lag_2': 62.857119501688274, 'rsi_lag_3': 52.56417780516556, 'rsi_lag_4': 58.02468263667653, 'rsi_lag_5': 51.807278752266654, 'macd_lag_1': 0.040828362632417736, 'macd_lag_2': 0.03941908567414387, 'macd_lag_3': 0.03704696729215584, 'macd_lag_4': 0.03653483783421052, 'macd_lag_5': 0.032295337429165016, 'macd_12_26_9': 0.05343315020393291, 'macds_12_26_9': 0.036991409899533374}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-04': 26.84000015258789, '2018-01-05': 26.8799991607666, '2018-01-08': 26.93000030517578, '2018-01-09': 26.89999961853028, '2018-01-12': 26.989999771118164, '2018-01-16': 26.950000762939453}, '12_months_later': {'2019-01-02': 24.979999542236328}}
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.
MCRB
{'date': '2018-01-02', 'ticker': 'MCRB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.020000457763672, 'high': 10.5649995803833, 'open': 10.220000267028809, 'close': 10.550000190734863, 'ema_50': 10.44463918925278, 'rsi_14': 56.569359325271414, 'target': 10.789999961853027, 'volume': 327300.0, 'ema_200': 11.763286763310708, 'adj_close': 10.550000190734863, 'rsi_lag_1': 48.71795916803672, 'rsi_lag_2': 55.411261130340584, 'rsi_lag_3': 58.46775154914542, 'rsi_lag_4': 57.539692000746285, 'rsi_lag_5': 55.10204717151523, 'macd_lag_1': 0.023705655677840554, 'macd_lag_2': 0.02842199377511534, 'macd_lag_3': 0.01671924672352354, 'macd_lag_4': 0.011720953920431043, 'macd_lag_5': 0.0010981047515112863, 'macd_12_26_9': 0.05244690960398657, 'macds_12_26_9': 0.005140224374266479}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.789999961853027, '2018-01-04': 10.600000381469728, '2018-01-05': 10.609999656677246, '2018-01-08': 10.239999771118164, '2018-01-09': 10.020000457763672, '2018-01-10': 10.479999542236328, '2018-01-11': 10.630000114440918, '2018-01-12': 10.520000457763672, '2018-01-16': 10.09000015258789}, '1_month_later': {'2018-02-02': 9.460000038146973}, '3_months_later': {'2018-04-02': 6.909999847412109}, '6_months_later': {'2018-07-02': 8.539999961853027}, '12_months_later': {'2019-01-02': 4.829999923706055}}
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.