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 |
class DataNormalizationModeProblem(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 1, 1) self.SetEndDate(2019, 2, 1) self.SetCash(25_000) self.UniverseSettings.DataNormalizationMode = DataNormalizationMode.Raw self.AddUniverse(self.UpdateEquityUniverse) self.equityUniverse = set() self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.At(9,35,0), self.UpdateOptionUniverse) self.optionUniverse = dict() def UpdateEquityUniverse(self, coarse): coarse = [x for x in coarse if x.DollarVolume > 10_000_000] coarse = sorted(coarse, key=lambda x: x.DollarVolume, reverse=True)[:6] self.equityUniverse = {x.Symbol for x in coarse} return [x.Symbol for x in coarse] def UpdateOptionUniverse(self): underlyingsAdded = self.equityUniverse - self.optionUniverse.keys() underlyingsRemoved = self.optionUniverse.keys() - self.equityUniverse for underlying in underlyingsAdded: options = [x for x in self.OptionChainProvider.GetOptionContractList(underlying, self.Time)][:20] for option in options: self.AddOptionContract(option, Resolution.Minute) self.optionUniverse[underlying] = options for underlying in underlyingsRemoved: for option in self.optionUniverse.pop(underlying): self.RemoveSecurity(option) def OnData(self, data): pass def OnEndOfDay(self): equities = [x.Symbol for x in self.ActiveSecurities.Values if x.Type == SecurityType.Equity] options = [x.Symbol for x in self.ActiveSecurities.Values if x.Type == SecurityType.Option] self.Debug(f"{self.Time} >> OnEndOfDay: #Equities:{len(equities)} #Options:{len(options)}")