Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 72.482% Drawdown 1.700% Expectancy 0 Net Profit 6.103% Sharpe Ratio 4.535 Sortino Ratio 5.502 Probabilistic Sharpe Ratio 88.912% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.071 Beta 0.963 Annual Standard Deviation 0.092 Annual Variance 0.008 Information Ratio 3.543 Tracking Error 0.016 Treynor Ratio 0.433 Total Fees $1.06 Estimated Strategy Capacity $280000000.00 Lowest Capacity Asset SPY R735QTJ8XC9X Portfolio Turnover 2.49% |
# region imports from AlgorithmImports import * from tlt import * # endregion class UglyBluePig(QCAlgorithm): def Initialize(self): self.SetStartDate(2024, 1, 1) self.SetCash(100000) self.AddEquity("SPY", Resolution.Hour) def OnData(self, data: Slice): invested = [ x.Symbol.Value for x in self.Portfolio.Values if x.Invested ] self.Log("invested: " + str(invested)) if not self.Portfolio.Invested: self.SetHoldings("SPY", 1) b = B(self) self.Log ('The result of b.Call_a is:'+str(b.Call_a())) class B: def __init__(self, algo): self.algo=algo def Call_a(self): self.algo.Log("This is Call_a to the Log") self.algo.Debug("This is Call_a to Debug") return 2
#region imports from AlgorithmImports import * #endregion def f(): #UglyBluePig.Log("This is tlt") return 1 def g(): return 2 # Your New Python File