Overall Statistics |
Total Orders 2 Average Win 0% Average Loss 0% Compounding Annual Return -1.368% Drawdown 0.100% Expectancy 0 Start Equity 1000000 End Equity 999207.7 Net Profit -0.079% Sharpe Ratio -15.144 Sortino Ratio -16.819 Probabilistic Sharpe Ratio 1.569% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.024 Beta 0.009 Annual Standard Deviation 0.002 Annual Variance 0 Information Ratio 0.846 Tracking Error 0.057 Treynor Ratio -2.646 Total Fees $2.30 Estimated Strategy Capacity $560000.00 Lowest Capacity Asset GOOCV WJVVXYUIC7ZA|GOOCV VP83T1ZUHROL Portfolio Turnover 0.01% |
#region imports using Newtonsoft.Json; using System; using System.Collections; using System.Collections.Generic; using System.Linq; using System.Globalization; using System.Drawing; using QuantConnect; using QuantConnect.Algorithm.Framework; using QuantConnect.Algorithm.Framework.Selection; using QuantConnect.Algorithm.Framework.Alphas; using QuantConnect.Algorithm.Framework.Portfolio; using QuantConnect.Algorithm.Framework.Portfolio.SignalExports; using QuantConnect.Algorithm.Framework.Execution; using QuantConnect.Algorithm.Framework.Risk; using QuantConnect.Algorithm.Selection; using QuantConnect.Api; using QuantConnect.Parameters; using QuantConnect.Benchmarks; using QuantConnect.Brokerages; using QuantConnect.Configuration; using QuantConnect.Util; using QuantConnect.Interfaces; using QuantConnect.Algorithm; using QuantConnect.Indicators; using QuantConnect.Data; using QuantConnect.Data.Auxiliary; using QuantConnect.Data.Consolidators; using QuantConnect.Data.Custom; using QuantConnect.Data.Custom.IconicTypes; using QuantConnect.DataSource; using QuantConnect.Data.Fundamental; using QuantConnect.Data.Market; using QuantConnect.Data.Shortable; using QuantConnect.Data.UniverseSelection; using QuantConnect.Notifications; using QuantConnect.Orders; using QuantConnect.Orders.Fees; using QuantConnect.Orders.Fills; using QuantConnect.Orders.OptionExercise; using QuantConnect.Orders.Slippage; using QuantConnect.Orders.TimeInForces; using QuantConnect.Python; using QuantConnect.Scheduling; using QuantConnect.Securities; using QuantConnect.Securities.Equity; using QuantConnect.Securities.Future; using QuantConnect.Securities.Option; using QuantConnect.Securities.Positions; using QuantConnect.Securities.Forex; using QuantConnect.Securities.Crypto; using QuantConnect.Securities.CryptoFuture; using QuantConnect.Securities.Interfaces; using QuantConnect.Securities.Volatility; using QuantConnect.Storage; using QuantConnect.Statistics; using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion namespace QuantConnect { public class BackspreadOptionStrategyAlgorithm : QCAlgorithm { private Symbol _symbol; public override void Initialize() { SetStartDate(2017, 4, 1); SetEndDate(2017, 4, 22); SetCash(1000000); UniverseSettings.Asynchronous = true; var option = AddOption("GOOG", Resolution.Minute); _symbol = option.Symbol; option.SetFilter(universe => universe.IncludeWeeklys().CallSpread(20, 5)); } public override void OnData(Slice slice) { if (Portfolio.Invested || !slice.OptionChains.TryGetValue(_symbol, out var chain)) { return; } // Select the call Option contracts with the furthest expiry var expiry = chain.Max(x => x.Expiry); var calls = chain.Where(x => x.Expiry == expiry && x.Right == OptionRight.Call); if (calls.Count() == 0) return; // Select the strike prices from the remaining contracts var strikes = calls.Select(x => x.Strike).Distinct().OrderBy(x => x).ToList(); if (strikes.Count < 2) { return; } var lowStrike = strikes[0]; var highStrike = strikes[1]; var optionStrategy = OptionStrategies.CallBackspread(_symbol, lowStrike, highStrike, expiry); Buy(optionStrategy, 1); } } }