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 5.166 Tracking Error 0.065 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
#region imports from AlgorithmImports import * #endregion class SmoothRedWhale(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 2, 19) # Set Start Date self.SetEndDate(2021, 2, 23) self.SetCash(100000) # Set Strategy Cash self.UniverseSettings.Resolution = Resolution.Daily self.universe1 = self.AddUniverse(self.Coarse, self.Fine1) self.universe2 = self.AddUniverse(self.Coarse, self.Fine2) def OnData(self, data): # Note: in the below, x is Symbol and x.Value is string self.Debug(f"universe 1 includes: {[x.Value for x in self.universe1.Members.Keys]}") self.Debug(f"universe 2 includes: {[x.Value for x in self.universe2.Members.Keys]}") def Coarse(self, coarse): return [Symbol.Create("SPY", SecurityType.Equity, Market.USA), Symbol.Create("AAPL", SecurityType.Equity, Market.USA)] def Fine1(self, coarse): return [Symbol.Create("SPY", SecurityType.Equity, Market.USA)] def Fine2(self, coarse): return [Symbol.Create("AAPL", SecurityType.Equity, Market.USA)]