Overall Statistics |
Total Trades 4 Average Win 0% Average Loss -0.92% Compounding Annual Return 96.758% Drawdown 1.300% Expectancy -1 Net Profit 5.264% Sharpe Ratio 5.383 Probabilistic Sharpe Ratio 96.479% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.582 Beta 0.426 Annual Standard Deviation 0.116 Annual Variance 0.013 Information Ratio 4.437 Tracking Error 0.118 Treynor Ratio 1.465 Total Fees $2.00 Estimated Strategy Capacity $2800000.00 Lowest Capacity Asset GOOCV WJVVXYW5VKH2|GOOCV VP83T1ZUHROL |
#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 SmoothMagentaCoyote : QCAlgorithm { private Symbol _symbol; public override void Initialize() { SetStartDate(2017, 4, 1); SetEndDate(2017, 4, 30); SetCash(100000); var option = AddOption("GOOG", Resolution.Minute); _symbol = option.Symbol; option.SetFilter(-5, 5, TimeSpan.FromDays(0), TimeSpan.FromDays(30)); } public override void OnData(Slice slice) { if (Portfolio.Invested) return; // Get the OptionChain var chain = slice.OptionChains.get(_symbol, null); if (chain == null || chain.Count() == 0) return; // Select an expiration date var expiry = chain.OrderBy(contract => contract.Expiry).Last().Expiry; // Select the OTM call strike var callStrikes = chain.Where(contract => contract.Expiry == expiry && contract.Right == OptionRight.Call && contract.Strike > chain.Underlying.Price) .Select(contract => contract.Strike); if (callStrikes.Count() == 0) return; var callStrike = callStrikes.Min(); // Select the ITM put strike var putStrikes = chain.Where(contract => contract.Expiry == expiry && contract.Right == OptionRight.Put && contract.Strike < chain.Underlying.Price) .Select(contract => contract.Strike); if (putStrikes.Count() == 0) return; var putStrike = putStrikes.Max(); var optionStrategy = OptionStrategies.Strangle(_symbol, callStrike, putStrike, expiry); Buy(optionStrategy, 1); } } }