Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
return df['Target'] from backtesting import Strategy class MyCandlesStrat(Strategy): def init(self): super().init() self.signal1 = self.I(SIGNAL, self.data) def next(self): super().next() if self.signal1 == 1: sl_pct = 0.025 # 2.5% stop-loss tp_pct = 0.025 # 2.5% take-profit sl_price =