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 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
# reduce from functools import reduce class CalculatingOrangeMule(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 12, 7) self.SetCash(100000) self.AddEquity("SPY", Resolution.Daily) def OnData(self, data): num_list = [1,2,3,4,5] avg=sum(num_list)/len(num_list) self.Log(reduce(lambda a,b:a+abs(avg-b),num_list,0)/len(num_list))