Using LSTMs For Stock Market Predictions (Tensorflow)

In this tutorial, you will see how you can use a time-series model known as Long Short-Term Memory. LSTM models are powerful, especially for retaining a long-term memory, by design, as you will see later. You’ll tackle the following topics in this tutorial:

  • Understand why would you need to be able to predict stock price movements;
  • Download the data — You will be using stock market data gathered from Alphavantage/Kaggle;
  • Split train-test data and also perform some data normalization;
  • Motivate and briefly discuss an LSTM model as it allows to predict more than one-step ahead;
  • Predict and visualize future stock market with current data

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