| 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