| 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 |
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
# 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
for contract in contracts:
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 < optionContract.UnderlyingLastPrice):
self._buyTicket = self.Buy(optionContract.Symbol, 10)
self.Log(f'Buy ticket opened for {optionContract.Symbol}')
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))