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 -1.666 Tracking Error 0.165 Treynor Ratio 0 Total Fees $0.00 |
class OptimizedTransdimensionalReplicator(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 10, 1) # Set Start Date self.SetCash(100000) # Set Strategy Cash self.symbol = Symbol.Create("AAPL", SecurityType.Equity, Market.USA) self.SetUniverseSelection(FineFundamentalUniverseSelectionModel(self.CoarseSelectionFunction, self.FineSelectionFunction, None, None)) self.UniverseSettings.Resolution = Resolution.Daily def OnData(self, data): if not data.ContainsKey(self.symbol) or data[self.symbol] is None or self.Securities[self.symbol].Fundamentals is None: return pe_ratio = self.Securities[self.symbol].Fundamentals.ValuationRatios.NormalizedPERatio self.Plot("Normalized PE", "Ratio", pe_ratio) def CoarseSelectionFunction(self, coarse): return [self.symbol] def FineSelectionFunction(self, fine): return [self.symbol]