Overall Statistics |
Total Trades 110 Average Win 0.11% Average Loss -0.14% Compounding Annual Return 30.166% Drawdown 1.300% Expectancy -0.098 Net Profit 0.580% Sharpe Ratio 1.815 Probabilistic Sharpe Ratio 53.949% Loss Rate 48% Win Rate 52% Profit-Loss Ratio 0.74 Alpha 0.487 Beta 0.418 Annual Standard Deviation 0.133 Annual Variance 0.018 Information Ratio 5.687 Tracking Error 0.146 Treynor Ratio 0.576 Total Fees $148.59 |
class MultidimensionalParticleContainmentField(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 1, 20) # Set Start Date self.SetCash(100000) # Set Strategy Cash self.SetUniverseSelection(LiquidETFUniverse()) self.UniverseSettings.Resolution = Resolution.Daily self.dvol = {} def OnData(self, data): top10SortedByDVol = sorted(self.dvol.items(), key=lambda x:x[1].Current.Value, reverse=True)[:10] symbols = [x[0] for x in top10SortedByDVol] self.Liquidate() for symbol in symbols: self.SetHoldings(symbol, 1/len(symbols)) def OnSecuritiesChanged(self, changed): for security in changed.AddedSecurities: symbol = security.Symbol price = self.Identity(symbol) vol = self.Identity(symbol, Field.Volume) dvol = IndicatorExtensions.Times(price, vol) self.dvol[symbol] = dvol for security in changed.RemovedSecurities: self.dvol.pop(security.Symbol, None)