Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
inplace=True) def SIGNAL_1(df_ens): return df_ens['trns'] class MyCandlesStrat_1(Strategy): def init(self): super().init() self.signal1_1 = self.I(SIGNAL_1, self.data) def next(self): super().next() if self.signal1_1 == 1: sl_pct = 0.055 # 10% stop-loss tp_pct = 0.055 # 2.5% take-profit sl_price =