Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
bb_middle, bb_lower = ta.BBANDS(df['Close'], timeperiod=period, nbdevup=2, nbdevdn=2) df[f'BB_upper_{period}'] = bb_upper df[f'BB_middle_{period}'] = bb_middle df[f'BB_lower_{period}'] = bb_lower df[f'EWO_{period}'] = ta.SMA(df['Close'], timeperiod=(period+5)) - ta.SMA(df['Close'],