Overall Statistics |
Total Orders 4 Average Win 0% Average Loss 0% Compounding Annual Return -14.362% Drawdown 1.000% Expectancy 0 Start Equity 100000 End Equity 99126 Net Profit -0.874% Sharpe Ratio -3.64 Sortino Ratio -2.573 Probabilistic Sharpe Ratio 2.369% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.115 Beta 0.058 Annual Standard Deviation 0.033 Annual Variance 0.001 Information Ratio -0.726 Tracking Error 0.063 Treynor Ratio -2.044 Total Fees $4.00 Estimated Strategy Capacity $2800000.00 Lowest Capacity Asset GOOCV 30JDODOEFOQTI|GOOCV VP83T1ZUHROL Portfolio Turnover 0.40% |
#region imports 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.Execution; using QuantConnect.Algorithm.Framework.Risk; using QuantConnect.Parameters; using QuantConnect.Benchmarks; using QuantConnect.Brokerages; using QuantConnect.Util; using QuantConnect.Interfaces; using QuantConnect.Algorithm; using QuantConnect.Indicators; using QuantConnect.Data; using QuantConnect.Data.Consolidators; using QuantConnect.Data.Custom; using QuantConnect.DataSource; using QuantConnect.Data.Fundamental; using QuantConnect.Data.Market; using QuantConnect.Data.UniverseSelection; using QuantConnect.Notifications; using QuantConnect.Orders; using QuantConnect.Orders.Fees; using QuantConnect.Orders.Fills; using QuantConnect.Orders.Slippage; using QuantConnect.Scheduling; using QuantConnect.Securities; using QuantConnect.Securities.Equity; using QuantConnect.Securities.Future; using QuantConnect.Securities.Option; using QuantConnect.Securities.Forex; using QuantConnect.Securities.Crypto; using QuantConnect.Securities.Interfaces; using QuantConnect.Storage; using QuantConnect.Data.Custom.AlphaStreams; using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion namespace QuantConnect.Algorithm.CSharp { public class JellyRollStrategy : QCAlgorithm { private Symbol _symbol; public override void Initialize() { SetStartDate(2017, 4, 1); SetEndDate(2017, 4, 23); SetCash(100000); var option = AddOption("GOOG", Resolution.Minute); _symbol = option.Symbol; option.SetFilter(universe => universe.IncludeWeeklys().Strikes(-5, 5).Expiration(30, 60)); } public override void OnData(Slice slice) { if (Portfolio.Invested || !slice.OptionChains.TryGetValue(_symbol, out var chain)) { return; } // Select expiry dates and strike price var strike = chain.OrderBy(x => Math.Abs(chain.Underlying.Price - x.Strike)).First().Strike; var contracts = chain.Where(x => x.Strike == strike).ToList(); var farExpiry = contracts.Max(x => x.Expiry); var nearExpiry = contracts.Min(x => x.Expiry); // Order Strategy var jellyRoll = OptionStrategies.JellyRoll(_symbol, strike, nearExpiry, farExpiry); Buy(jellyRoll, 1); } } }