Overall Statistics |
Total Trades 7496 Average Win 0.00% Average Loss 0.00% Compounding Annual Return -100.000% Drawdown 10.400% Expectancy -0.827 Net Profit -10.389% Sharpe Ratio -70.785 Loss Rate 90% Win Rate 10% Profit-Loss Ratio 0.66 Alpha -9.024 Beta -0.226 Annual Standard Deviation 0.128 Annual Variance 0.016 Information Ratio -68.8 Tracking Error 0.133 Treynor Ratio 39.993 Total Fees $13867.60 |
import clr clr.AddReference("System") clr.AddReference("QuantConnect.Algorithm") clr.AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * class BasicTemplateFuturesAlgorithm(QCAlgorithm): ''' This example demonstrates how to add futures for a given underlying. It also shows how you can prefilter contracts easily based on expirations. It also shows how you can inspect the futures chain to pick a specific contract to trade.''' def Initialize(self): self.SetStartDate(2016, 8, 17) self.SetEndDate(2016, 8, 20) self.SetCash(1000000) futureSP500 = self.AddFuture(Futures.Indices.SP500EMini) futureGold = self.AddFuture(Futures.Metals.Gold) # set our expiry filter for this futures chain futureSP500.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(182)) futureGold.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(182)) benchmark = self.AddEquity("SPY") self.SetBenchmark(benchmark.Symbol) def OnData(self, slice): if not self.Portfolio.Invested: for chain in slice.FutureChains: # find the front contract expiring no earlier than in 90 days contracts = [ i for i in chain.Value if i.Expiry > self.Time.Date.AddDays(90) ] # if thre is more than one contract, trade the one woth the closes expire date if len(contracts) > 0: contract = sorted(contracts, key=lambda x: x.Expiry, reverse=True)[0] self.MarketOrder(contract.Symbol, 1); else: self.Liquidate(); def OnOrderEvent(self, orderEvent): self.Log(orderEvent.ToString())