Hands-On Machine Learning for Algorithmic Trading

Stacked LSTMs for time series classification

We'll now build a slightly deeper model by stacking two LSTM layers using the Quandl stock price data (see the stacked_lstm_with_feature_embeddings notebook for implementation details). Furthermore, we will include features that are not sequential in nature, namely indicator variables for identifying the equity and the month.