Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
df.drop(columns=['symbol'], inplace=True) target_prediction_number = 2 time_periods = [6, 8, 10, 12, 14, 16, 18, 22, 26, 33, 44, 55] name_periods = [6, 8, 10, 12, 14, 16, 18, 22, 26, 33, 44, 55] new_columns = [] for period in time_periods: for nperiod in name_periods: df[f'ATR_{period}'] =