| 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)