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 -11.033 Tracking Error 0.054 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
class CalculatingMagentaSheep(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 10, 15) self.SetCash(100000) self.UniverseSettings.ExtendedMarketHours = True self.spy = self.AddEquity("SPY", Resolution.Daily).Symbol self.aapl = self.AddEquity("AAPL", Resolution.Daily).Symbol self.amzn = self.AddEquity("AMZN", Resolution.Daily).Symbol self.tickers = [self.spy,self.aapl,self.amzn] self.ticker_value = {} for i in self.tickers: self.ticker_value[i] = i.Value def OnData(self, data): self.Debug(len(self.tickers)) self.Debug(len(self.ticker_value))