In this blog we show how to forecast the closing price of AAPL using a LSTM RRN network. We use the open, closing, high and low rates and the volume of the current day as input in order to predict the subsequent closing price.

This demo has been implemented in Scala using Jupyter with the BeakerX kernel using the following libraries

The details can be found in the following Gist.


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