Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices

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commentsBy Derrick Mwiti, Data AnalystEditor’s note: This tutorial illustrates how to get started forecasting time series with LSTM models. Stock market data is a great choice for this because it’s quite regular and widely available to everyone. Please don’t take this as financial advice or use it to make any trades of your own.In this tutorial, we’ll build a Python deep learning model that will predict the future behavior of stock prices. We assume that the reader is familiar with the concepts of deep learning in Python, especially Long Short-Term Memory.While predicting the actual price of a stock is an uphill climb, we can build a model that will predict whether the price will go up or down. The data and notebook used for this tutorial can be found here. It’s important to note that there are always other factors that affect the prices of stocks, such as the political atmosphere and the market. However, we won’t focus on those factors for this tutorial.Introduction LSTMs are v…