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 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 UniverseSelectionMarketCap(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 6, 1) # Set Start Date self.SetEndDate(2019, 6, 15) # Set End Date self.UniverseSettings.Resolution = Resolution.Daily # coarse and fine selection self.AddUniverseSelection( FineFundamentalUniverseSelectionModel(self.SelectCoarse, self.SelectFine) ) # self.SetUniverseSelection(CoarseFundamentalUniverseSelectionModel(self.SelectCoarse)) # only coarse selection self.numberOfSymbolsFine = 500 def OnData(self, data): # log the selected stocks if you want for key in data.Keys: self.Log(key.Value) def SelectCoarse(self, coarse): # select stocks with fundamental data coarseWithFundamental = [x for x in coarse if x.HasFundamentalData] sortByVolume = sorted(coarseWithFundamental, key = lambda x: x.Volume, reverse = True) return [ x.Symbol for x in sortByVolume] def SelectFine(self, fine): # select stocks with the highest market cap sortByMarketCap = sorted(fine, key = lambda x: x.CompanyProfile.MarketCap, reverse = True) return [ x.Symbol for x in sortByMarketCap[:self.numberOfSymbolsFine] ]