Overall Statistics |
Total Trades 4 Average Win 0.77% Average Loss 0% Compounding Annual Return -52.972% Drawdown 7.500% Expectancy -0.5 Net Profit -5.558% Sharpe Ratio -3.45 Probabilistic Sharpe Ratio 0.053% Loss Rate 50% Win Rate 50% Profit-Loss Ratio 0 Alpha -0.37 Beta -0.397 Annual Standard Deviation 0.119 Annual Variance 0.014 Information Ratio -3.491 Tracking Error 0.146 Treynor Ratio 1.033 Total Fees $2.00 Estimated Strategy Capacity $250000.00 Lowest Capacity Asset GOOCV WJVVXYW5VKH2|GOOCV VP83T1ZUHROL Portfolio Turnover 3.02% |
#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 ShortStrangleAlgorithm : QCAlgorithm { private Symbol _symbol; public override void Initialize() { SetStartDate(2017, 4, 1); SetEndDate(2017, 4, 30); SetCash(100000); var option = AddOption("GOOG"); _symbol = option.Symbol; option.SetFilter(-5, 5, 0, 30); } public override void OnData(Slice slice) { if (Portfolio.Invested || !slice.OptionChains.TryGetValue(_symbol, out var chain)) { return; } // Find options with the farthest expiry var expiry = chain.Max(contract => contract.Expiry); var contracts = chain.Where(contract => contract.Expiry == expiry).ToList(); // Order the OTM calls by strike to find the nearest to ATM var callContracts = contracts .Where(contract => contract.Right == OptionRight.Call && contract.Strike > chain.Underlying.Price) .OrderBy(contract => contract.Strike).ToArray(); if (callContracts.Length == 0) return; // Order the OTM puts by strike to find the nearest to ATM var putContracts = contracts .Where(contract => contract.Right == OptionRight.Put && contract.Strike < chain.Underlying.Price) .OrderByDescending(contract => contract.Strike).ToArray(); if (putContracts.Length == 0) return; var callStrike = callContracts[0].Strike; var putStrike = putContracts[0].Strike; var shortStrangle = OptionStrategies.ShortStrangle(_symbol, callStrike, putStrike, expiry); Buy(shortStrangle, 1); } } }