Overall Statistics |
Total Orders 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 100000 Net Profit 0% Sharpe Ratio 0 Sortino Ratio 0 Probabilistic 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 -0.812 Tracking Error 0.137 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset Portfolio Turnover 0% |
# region imports from AlgorithmImports import * # endregion class FutureOptionAlgorithm(QCAlgorithm): def initialize(self) -> None: self.set_start_date(2012, 1, 1) self.ticker = Futures.Indices.NASDAQ_100_E_MINI self.underlying = self.add_future(self.ticker) self.underlying.set_filter(0, 182) self.add_future_option(self.underlying.symbol, lambda u: u.front_month().strikes(-10,10)) def on_end_of_day(self, symbol): self.plot(self.ticker, str(symbol.id.security_type), 1)