Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
y_aligned = y[time_steps - 1:] # Discard the first (time_steps - 1) target values X = X_reshaped y = y_aligned print(len(X),len(y)) # Split data into train and test sets (considering time series data) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, shuffle=False) 1. Data