Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
the model predictions. df_ens['bm'] = df_ens['best_model'].shift(1).dropna().astype(int): Similar to before, this creates a shifted signal column 'bm' based on the predicted labels, but here it might include predictions for the entire DataFrame. df_ens['ema_22'] = ta.EMA(df_ens['Close'],