Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
df.copy(): Creates a copy of the original DataFrame (df). df_ens = df_ens_test[len(X_train):]: Selects the data from the test set (after the training data). This ensures the model predictions are used on unseen data for backtesting. 2. Transformer Predictions: df_ens['transformer_neural_scaled'] =