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 -1.588 Tracking Error 0.168 Treynor Ratio 0 Total Fees $0.00 |
class CalibratedModulatedCompensator(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 1, 1) #Starts Jan 1 2020 self.SetEndDate(2021,2,3) #Ends Today self.SetCash(1000) #Thousand dollar balance self.spy = self.AddEquity("SPY", Resolution.Minute) #Add SPY Minute Data self.spy.SetDataNormalizationMode(DataNormalizationMode.Raw) #Set Data Normalization Mode self.SetWarmup(3) self.window = RollingWindow[TradeBar](3) self.lowWindow = RollingWindow[float](3) self.highWindow = RollingWindow[float](3) def OnData(self, data): self.lowWindow.Add(data["SPY"].Low) self.highWindow.Add(data["SPY"].High) if self.highWindow.IsReady and self.lowWindow.IsReady: High = self.highWindow[0] Low = self.lowWindow[0] LastHigh = self.highWindow[1] LastLow = self.lowWindow[1] OldHigh = self.highWindow[2] OldLow = self.lowWindow[2]