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 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 |
from datetime import timedelta class OptionsAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2017, 11, 01) self.SetEndDate(2018, 02, 9) self.SetCash(20000) self.syl = 'SPY' equity = self.AddEquity(self.syl, Resolution.Minute) self.underlyingsymbol = equity.Symbol self.SetBenchmark(equity.Symbol) def OnData(self,slice): try: if self.Portfolio[self.contract].Invested: pass except: if self.Portfolio[self.syl].Invested: self.liquidate() else: self.SellPut() def SellPut(self): contracts = self.OptionChainProvider.GetOptionContractList(self.underlyingsymbol, self.Time.date()) if len(contracts) == 0: return filtered_contracts = self.InitialFilter(self.underlyingsymbol, contracts, -3, 3, 0, 7) put = [x for x in filtered_contracts if x.ID.OptionRight == 0] # sorted the contracts according to their expiration dates and choose the ATM options contracts = sorted(sorted(put, key = lambda x: abs(self.Securities[self.syl].Price - x.ID.StrikePrice)), key = lambda x: x.ID.Date, reverse=True) self.contract = contracts[0] self.AddOptionContract(self.contract, Resolution.Minute) self.Sell(self.contract, 1) def InitialFilter(self, underlyingsymbol, symbol_list, min_strike_rank, max_strike_rank, min_expiry, max_expiry): ''' This method is an initial filter of option contracts according to the range of strike price and the expiration date ''' if len(symbol_list) == 0 : return # fitler the contracts based on the expiry range contract_list = [i for i in symbol_list if min_expiry < (i.ID.Date.date() - self.Time.date()).days < max_expiry] # find the strike price of ATM option atm_strike = sorted(contract_list, key = lambda x: abs(x.ID.StrikePrice - self.Securities[underlyingsymbol].Price))[0].ID.StrikePrice strike_list = sorted(set([i.ID.StrikePrice for i in contract_list])) # find the index of ATM strike in the sorted strike list self.Log(contract_list) atm_strike_rank = strike_list.index(atm_strike) try: min_strike = strike_list[atm_strike_rank + min_strike_rank] max_strike = strike_list[atm_strike_rank + max_strike_rank] except: min_strike = strike_list[0] max_strike = strike_list[-1] filtered_contracts = [i for i in contract_list if i.ID.StrikePrice >= min_strike and i.ID.StrikePrice <= max_strike] return filtered_contracts