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 0.676 Tracking Error 0.163 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 |
class OptimizedVerticalContainmentField(QCAlgorithm): def Initialize(self): self.SetStartDate(2021,1,1) # Set Start Date self.SetEndDate(2021,1,31) self.spy = self.AddEquity("SPY", Resolution.Minute) self.SetCash(10000) # Set Strategy Cash self.SetWarmUp(200) self.Firststock = "SPY" #Indicators that can be optimized self.FirstHMAPeriod = 30 #Initializing the Hull Moving Average of the First Stock self.Firsthma = self.HMA(self.Firststock, self.FirstHMAPeriod, Resolution.Minute) self.Firsthma.Updated += self.consolidation_handler self.Parabolic = ParabolicStopAndReverse(0.02, 0.02, .2) def consolidation_handler(self, sender, bar): if self.Firsthma.IsReady: hma = self.Firsthma.Current.Value trade_bar = TradeBar(bar.EndTime, self.spy.Symbol, hma, hma, hma, hma, 0) self.Parabolic.Update(trade_bar) def OnData(self, data): if self.Firsthma.IsReady: self.Plot("HMA", "Value", self.Firsthma.Current.Value) self.Plot("Parabolic", "Value", self.Parabolic.Current.Value)