Hands-On Artificial Intelligence for Beginners

Price prediction utilizing LSTMs

Let's start by walking through a supervised learning example utilizing an LSTM to predict where the price of a given stock is going, based on its past performance. As we learned in previous chapters, LSTMs and Recurrent Neural Networks (RNN) in general are superior at modeling and prediction for series data. This model will utilize the trading platform structure that we created previously:

1. Let's start with our imports:

import tensorflow as tffrom sklearn.preprocessing import MinMaxScalerimport loggingimport os

2. Let's create a class that will contain all of the code needed to run the RNN, which we'll call TradingRNN. We'll also initialize the necessary variables:

class TradingRNN(): ''' An RNN Model for ...