I made a stock price prediction model using a univariate stacked LSTM approach. By using historical 'close' stock prices from Apple's data between 2015 and 2020 available on a library called Tiingo from python, the model learns patterns and uses them to forecast future "close" prices.
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This is a simple real time application of a stacked LSTM model
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