Overall Statistics |
Total Trades 9984 Average Win 0.00% Average Loss -0.01% Compounding Annual Return -100.0% Drawdown 30.400% Expectancy -0.867 Net Profit -30.441% Sharpe Ratio -38.763 Loss Rate 91% Win Rate 9% Profit-Loss Ratio 0.41 Alpha -8.815 Beta -1248.473 Annual Standard Deviation 0.561 Annual Variance 0.314 Information Ratio -38.752 Tracking Error 0.561 Treynor Ratio 0.017 Total Fees $18470.40 |
from clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Securities import * from datetime import timedelta class BasicTemplateFuturesAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2013, 10, 7) self.SetEndDate(2018, 10, 11) self.SetCash(1000000) # Subscribe and set our expiry filter for the futures chain futureES = self.AddFuture(Futures.Indices.SP500EMini) futureES.SetFilter(timedelta(0), timedelta(182)) futureGC = self.AddFuture(Futures.Metals.Gold) futureGC.SetFilter(timedelta(0), timedelta(182)) def OnData(self,slice): if not self.Portfolio.Invested: for chain in slice.FutureChains: # Get contracts expiring no earlier than in 90 days contracts = list(filter(lambda x: x.Expiry > self.Time + timedelta(90), chain.Value)) # if there is any contract, trade the front contract if len(contracts) == 0: continue front = sorted(contracts, key = lambda x: x.Expiry, reverse=True)[0] self.MarketOrder(front.Symbol , 1) else: self.Liquidate() def OnOrderEvent(self, orderEvent): self.Log(str(orderEvent))