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 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 |
class CalculatingBlueDog(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 10, 12) # Set Start Date self.SetEndDate(2020, 10, 13) self.SetCash(100000) # Set Strategy Cash self.symbol1 = Symbol.Create("TSLA", SecurityType.Equity, Market.USA) self.symbol2 = Symbol.Create("AAPL", SecurityType.Equity, Market.USA) self.UniverseSettings.MinimumTimeInUniverse = timedelta(hours=1) self.UniverseSettings.Resolution = Resolution.Hour # Option 1 self.AddEquity("TSLA", Resolution.Hour) self.AddEquity("AAPL", Resolution.Hour) # Option 2 #self.AddUniverse(self.SelectCoarse) #def SelectCoarse(self, coarse): # return [self.symbol1, self.symbol2] def OnData(self, data): for symbol in data.Bars.Keys: self.Log(str(symbol)) if data.Time.hour == 12: val = self.RemoveSecurity(self.symbol1) self.Log(f"Removed {str(self.symbol1)} {val}")