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 -1.581 Tracking Error 0.113 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
class OptimizedTransdimensionalReplicator(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 10, 1) # Set Start Date self.SetCash(100000) # Set Strategy Cash tickers = ["AAPL", "MSFT", "TSLA"] self.symbols = [ Symbol.Create(ticker, SecurityType.Equity, Market.USA) for ticker in tickers] self.SetUniverseSelection(FineFundamentalUniverseSelectionModel(self.CoarseSelectionFunction, self.FineSelectionFunction)) self.UniverseSettings.Resolution = Resolution.Daily def OnData(self, data): for symbol in self.symbols: if not data.ContainsKey(symbol) or data[symbol] is None or self.Securities[symbol].Fundamentals is None: continue self.Debug(self.Securities[symbol].Fundamentals.ValuationRatios.NormalizedPERatio) def CoarseSelectionFunction(self, coarse): return self.symbols def FineSelectionFunction(self, fine): return self.symbols