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
 
# five day sma of vol

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(self.lookbackSTD + self.lookbackSMA, 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)