Overall Statistics |
Total Trades 4 Average Win 0% Average Loss -1.00% Compounding Annual Return 65.467% Drawdown 2.200% Expectancy -1 Net Profit 8.581% Sharpe Ratio 7.067 Probabilistic Sharpe Ratio 92.445% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.236 Beta 0.518 Annual Standard Deviation 0.094 Annual Variance 0.009 Information Ratio -11.95 Tracking Error 0.09 Treynor Ratio 1.286 Total Fees $53.25 |
from datetime import timedelta from QuantConnect.Securities.Option import OptionPriceModels class LongStrangleAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2017, 4, 1) self.SetEndDate(2017, 5, 30) self.SetCash(100000) self.SetSecurityInitializer(self.SecurityInitializer) equity = self.AddEquity("GOOG", Resolution.Minute) option = self.AddOption("GOOG", Resolution.Minute) option.PriceModel = OptionPriceModels.CrankNicolsonFD() equity.FeeModel = ConstantFeeModel(10.65) #self.SetBrokerageModel(InteractiveBrokersBrokerageModel()) self.symbol = option.Symbol # set our strike/expiry filter for this option chain option.SetFilter(-15, 15, timedelta(30), timedelta(60)) # use the underlying equity GOOG as the benchmark self.SetBenchmark(equity.Symbol) def SecurityInitializer(self, security): if security.Type == SecurityType.Option: security.FeeModel = ConstantFeeModel(10.65) elif security.Type == SecurityType.Equity: #... pass def OnData(self,slice): optionchain = slice.OptionChains for i in slice.OptionChains: if i.Key != self.symbol: continue chains = i.Value contract_list = [x for x in chains] # if there is no contracts in this optionchain, pass the instance if (slice.OptionChains.Count == 0) or (len(contract_list) == 0): return # if there is no securities in portfolio, trade the options if not self.Portfolio.Invested: self.TradeOptions(optionchain) def TradeOptions(self,optionchain): for i in optionchain: if i.Key != self.symbol: continue chain = i.Value # sorted the optionchain by expiration date and choose the furthest date expiry = sorted(chain,key = lambda x: x.Expiry, reverse=True)[0].Expiry # filter the call options from the contracts expires on that date call = [i for i in chain if i.Expiry == expiry and i.Right == 0] # sorted the contracts according to their strike prices call_contracts = sorted(call,key = lambda x: x.Strike) if len(call_contracts) == 0: continue # choose the deep OTM call option self.call = call_contracts[-1] # select the put options which have the same expiration date with the call option # sort the put options by strike price put_contracts = sorted([i for i in chain if i.Expiry == expiry and i.Right == 1], key = lambda x: x.Strike) # choose the deep OTM put option self.put = put_contracts[0] self.Buy(self.call.Symbol ,1) self.Buy(self.put.Symbol ,1) def OnOrderEvent(self, orderEvent): self.Log(str(orderEvent))