Model using Long Short Term Memory to predict stock prices. Input is OHLC data which the program will automatically procure from Yahoo! Finance using Python web scrapers. The input will be ticker, date range of OHLC data, and number of days for prediction. If two or more stocks are used, program will also find the co-relation between the stocks. Program also downloads the key characteristics of the stock such as beta, moving average, etc.
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Model using Long Short Term Memory to predict stock prices. Input is OHLC data which the program will automatically procure from Yahoo! Finance using Python web scrapers. The input will be ticker, date range of OHLC data, and number of days for prediction.
SASGODcoder/Automated-Stock-Prediction
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Model using Long Short Term Memory to predict stock prices. Input is OHLC data which the program will automatically procure from Yahoo! Finance using Python web scrapers. The input will be ticker, date range of OHLC data, and number of days for prediction.
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