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 -0.832 Tracking Error 0.133 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
class FocusedRedCoyote(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 8, 20) # Set Start Date self.SetCash(100000) # Set Strategy Cash self.tradeBarWindow = RollingWindow[TradeBar](3) self.apl = self.AddEquity("AAPL", Resolution.Daily).Symbol def OnData(self, data: Slice): if not self.apl in data.Bars:return self.tradeBarWindow.Add(data.Bars[self.apl]) if data.Splits.ContainsKey("AAPL"): history = self.History(self.apl,3,Resolution.Daily) self.newWindow = RollingWindow[TradeBar](3) for bar in history.itertuples(): tradebar = TradeBar(bar.Index[1], self.apl, bar.open, bar.high, bar.low, bar.close, bar.volume) self.newWindow.Add(tradebar) for i in range(0,3): self.Log(str(self.tradeBarWindow[i])+" "+str(self.newWindow[i]))