License: MIT License
This project is about predicting the future 'close' prices of 'AAPL' using LSTM's.
The real time stock data is obtained from 'tiingo' (https://www.tiingo.com) using an api key.
The closing price data is arranged in a way such that the value of next day depends upon the values of last timestamp days. Them an lstm model is trained that is able to minimize the 'mean_squared_error'.
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