Overall Statistics |
Total Trades 4 Average Win 0% Average Loss -0.92% Compounding Annual Return 96.758% Drawdown 1.300% Expectancy -1 Net Profit 5.264% Sharpe Ratio 5.383 Probabilistic Sharpe Ratio 96.479% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.582 Beta 0.426 Annual Standard Deviation 0.116 Annual Variance 0.013 Information Ratio 4.437 Tracking Error 0.118 Treynor Ratio 1.465 Total Fees $2.00 Estimated Strategy Capacity $2800000.00 Lowest Capacity Asset GOOCV WJVVXYW5VKH2|GOOCV VP83T1ZUHROL |
# region imports from AlgorithmImports import * # endregion class SmoothBlackKangaroo(QCAlgorithm): def Initialize(self) -> None: self.SetStartDate(2017, 4, 1) self.SetEndDate(2017, 4, 30) self.SetCash(100000) option = self.AddOption("GOOG", Resolution.Minute) self.symbol = option.Symbol option.SetFilter(-5, 5, timedelta(0), timedelta(30)) def OnData(self, slice: Slice) -> None: if self.Portfolio.Invested: return # Get the OptionChain chain = slice.OptionChains.get(self.symbol, None) if not chain: return # Select an expiration date expiry = sorted(chain, key=lambda contract: contract.Expiry, reverse=True)[0].Expiry # Select the OTM call strike strikes = [contract.Strike for contract in chain if contract.Expiry == expiry] call_strikes = [contract.Strike for contract in chain if contract.Expiry == expiry and contract.Right == OptionRight.Call and contract.Strike > chain.Underlying.Price] if len(call_strikes) == 0: return call_strike = min(call_strikes) # Select the OTM put strike put_strikes = [contract.Strike for contract in chain if contract.Expiry == expiry and contract.Right == OptionRight.Put and contract.Strike < chain.Underlying.Price] if len(put_strikes) == 0: return put_strike = max(put_strikes) option_strategy = OptionStrategies.Strangle(self.symbol, call_strike, put_strike, expiry) self.Buy(option_strategy, 1)