Overall Statistics |
Total Orders 4 Average Win 0% Average Loss 0% Compounding Annual Return -14.590% Drawdown 1.000% Expectancy 0 Start Equity 100000 End Equity 99111 Net Profit -0.889% Sharpe Ratio -3.738 Sortino Ratio -2.174 Probabilistic Sharpe Ratio 1.017% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.117 Beta 0.057 Annual Standard Deviation 0.032 Annual Variance 0.001 Information Ratio -0.755 Tracking Error 0.063 Treynor Ratio -2.136 Total Fees $4.00 Estimated Strategy Capacity $2500000.00 Lowest Capacity Asset GOOCV 30JDODOEFOQTI|GOOCV VP83T1ZUHROL Portfolio Turnover 0.37% |
#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 ShortButterflyStrategy : 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().IronButterfly(30, 5)); } public override void OnData(Slice slice) { if (Portfolio.Invested || !slice.OptionChains.TryGetValue(_symbol, out var chain)) { return; } // Select expiry var expiry = chain.Max(x => x.Expiry); // Separate the call and put contracts var calls = chain.Where(x => x.Right == OptionRight.Call && x.Expiry == expiry); var puts = chain.Where(x => x.Right == OptionRight.Put && x.Expiry == expiry); if (calls.Count() == 0 || puts.Count() == 0) return; // Get the ATM and OTM strike prices var atmStrike = calls.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike; var otmPutStrike = puts.Min(x => x.Strike); var otmCallStrike = 2 * atmStrike - otmPutStrike; // Order Strategy var shortIronButterfly = OptionStrategies.ShortIronButterfly(_symbol, otmPutStrike, atmStrike, otmCallStrike, expiry); Buy(shortIronButterfly, 1); } } }