Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
# EMA of the midpoint # ------------------------- CRYPTO = "BTCUSD"; EMA = 9; # ------------------------- class EmaOfTheMidpoint(QCAlgorithm): def Initialize(self): self.SetStartDate(2022, 5, 1) self.SetEndDate(2022, 5, 1) res = Resolution.Minute self.crypto = self.AddCrypto(CRYPTO, res).Symbol high = self.Identity(self.crypto, res, Field.High) low = self.Identity(self.crypto, res, Field.Low) midpoint = IndicatorExtensions.Over(IndicatorExtensions.Plus(high, low), 2) self.midpoint_ema = IndicatorExtensions.EMA(midpoint, EMA) self.SetWarmUp(5*EMA, res) def OnData(self, data): if self.IsWarmingUp: return if not self.midpoint_ema.IsReady: return price = self.Securities[self.crypto].Price midpoint_ema = self.midpoint_ema.Current.Value self.Plot(self.crypto, "price", price) self.Plot(self.crypto, "midpoint_ema", midpoint_ema)