| Overall Statistics |
|
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 918.898% Drawdown 25.300% Expectancy 0 Net Profit 24.798% Sharpe Ratio 2.569 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 3.449 Beta -51.349 Annual Standard Deviation 0.985 Annual Variance 0.971 Information Ratio 2.55 Tracking Error 0.985 Treynor Ratio -0.049 Total Fees $2.50 |
class BasicTemplateOptionsAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2015, 12, 24)
self.SetEndDate(2016, 1, 27)
self.SetCash(100000)
option = self.AddOption("GOOG")
self.option_symbol = option.Symbol
self.price_of_security_when_optioned_was_filled = 0
# set our strike/expiry filter for this option chain
option.SetFilter(-2, +2, timedelta(0), timedelta(180))
# use the underlying equity as the benchmark
self.AddEquity('GOOG', Resolution.Minute)
self.equity_symbol = "GOOG"
def OnData(self,slice):
if self.Portfolio.Invested: return
chain = slice.OptionChains.GetValue(self.option_symbol)
if chain is None:
return
# we sort the contracts to find at the money (ATM) contract with farthest expiration
contracts = sorted(sorted(sorted(chain, \
key = lambda x: abs(chain.Underlying.Price - x.Strike)), \
key = lambda x: x.Expiry, reverse=True), \
key = lambda x: x.Right, reverse=True)
# if found, trade it
if len(contracts) == 0: return
contract = contracts[0]
self._buyTicket = self.Buy(contract.Symbol, 10)
self.price_of_security_when_optioned_was_filled = contract.UnderlyingLastPrice
self.ConditionalOrderFunction(contract)
def ConditionalOrderFunction(self, optionContract):
self.Log(f'Last GOOG Price: {self.Securities[self.equity_symbol].Price}')
self.Log(f'Contract Underlying Price: {optionContract.UnderlyingLastPrice}')
if (self.Securities[self.equity_symbol].Price < self.price_of_security_when_optioned_was_filled):
self._sellTicket = self.Sell(optionContract.Symbol, 10)
self.Log(f'Close ticket opened for {optionContract.Symbol}')
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))