Overall Statistics |
Total Trades 2 Average Win 0% Average Loss 0% Compounding Annual Return 3.039% Drawdown 0.000% Expectancy 0 Net Profit 0.079% Sharpe Ratio 10.302 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.02 Beta 0.317 Annual Standard Deviation 0.002 Annual Variance 0 Information Ratio 3.837 Tracking Error 0.002 Treynor Ratio 0.079 Total Fees $1.25 |
import numpy as np from datetime import timedelta from QuantConnect.Securities.Option import OptionPriceModels class OptionChainProvider(QCAlgorithm): def Initialize(self): self.SetStartDate(2017, 2, 1) self.SetEndDate(2017, 2, 10) self.SetCash(100000) self.equity = self.AddEquity("SPY", Resolution.Minute) def OnData(self,data): if not self.Portfolio.Invested and self.IsMarketOpen(self.equity.Symbol): # get a symbol list of all option contracts contracts = self.OptionChainProvider.GetOptionContractList(self.equity.Symbol, data.Time) self.underlyingPrice = self.Securities[self.equity.Symbol].Price # filter the out-of-money call options from the contract list which expire in 20 to 30 days from now on otm_calls = [i for i in contracts if i.ID.OptionRight == OptionRight.Call and i.ID.StrikePrice - self.underlyingPrice > 0 and 20 < (i.ID.Date - data.Time).days < 30] # add those contracts for i in otm_calls: option = self.AddOptionContract(i, Resolution.Minute) option.PriceModel = OptionPriceModels.CrankNicolsonFD() # get the greeks by accessing the OptionChain if data.OptionChains.Count != 0: for kvp in data.OptionChains: chain = kvp.Value self.Log(str([i.Greeks.Vega for i in chain])) contract = sorted(sorted(chain, key = lambda x: abs(chain.Underlying.Price - x.Strike)), key = lambda x: x.Expiry)[0] self.MarketOrder(contract.Symbol, -1) self.MarketOrder(self.equity.Symbol, 100)