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 -3.15 Tracking Error 0.159 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
class UniverseSelection(QCAlgorithm): filteredByPrice = None def Initialize(self): self.SetStartDate(2021, 11, 1) # Set Start Date self.SetStartDate(2021, 11, 30) # Set Start Date self.SetCash(100000) # Set Strategy Cash self.AddUniverse(self.CoarseSelectionFilter) self.UniverseSettings.Resolution = Resolution.Daily def CoarseSelectionFilter(self, coarse): sortedByDollarVolume = sorted(coarse, key=lambda c: c.DollarVolume, reverse=True) filteredByPrice = [c.Symbol for c in sortedByDollarVolume if (c.HasFundamentalData and c.Price > 5 and c.Price < 500)] selectedStocks = filteredByPrice[:10] return selectedStocks def OnSecuritiesChanged(self, changes): for security in changes.AddedSecurities: self.Debug(security.Symbol)