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 -1.963 Tracking Error 0.164 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
class VAlgorithm(QCAlgorithmFramework): def Initialize(self): self.SetStartDate(2021, 1, 1) self.SetEndDate(2021, 3, 1) self.spy = self.AddEquity("SPY", Resolution.Hour).Symbol self.lookbackSTD = 10 # volatility (ie, std) over past 10 days self.lookbackSMA = 5 # 5-day moving average of volatility self.SetWarmup(10, Resolution.Daily) self.std = StandardDeviation(self.spy, self.lookbackSTD) self.RegisterIndicator(self.spy, self.std, Resolution.Daily) self.stdAvg = IndicatorExtensions.SMA(self.std, self.lookbackSMA) def OnEndOfDay(self): if self.IsWarmingUp or not self.stdAvg.IsReady: return self.Plot("Indicators", "Std", self.std.Current.Value) self.Plot("Indicators", "Std-Avg", self.stdAvg.Current.Value)