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]