Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
df_ens['transformer_neural_scaled'].shift(1).dropna().astype(int): This line creates the signal column ('trns'). It: Shifts the predicted labels ('transformer_neural_scaled') by 1 period (presumably to align the signal with the next price movement). Uses .dropna() to remove rows with missing values