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