Overall Statistics |
Total Orders 4 Average Win 0% Average Loss 0% Compounding Annual Return -24.993% Drawdown 1.800% Expectancy 0 Start Equity 100000 End Equity 98384.8 Net Profit -1.615% Sharpe Ratio -3.154 Sortino Ratio -1.934 Probabilistic Sharpe Ratio 1.782% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.183 Beta 0.216 Annual Standard Deviation 0.063 Annual Variance 0.004 Information Ratio -1.641 Tracking Error 0.077 Treynor Ratio -0.919 Total Fees $5.20 Estimated Strategy Capacity $2400000.00 Lowest Capacity Asset GOOCV 30JDODNXWB9VQ|GOOCV VP83T1ZUHROL Portfolio Turnover 0.65% |
#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 LongIronCondorStrategy : 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().IronCondor(30, 5, 10)); } public override void OnData(Slice slice) { if (Portfolio.Invested || !IsMarketOpen(_symbol) || !slice.OptionChains.TryGetValue(_symbol, out var chain)) { return; } // Find put and call contracts with the farthest expiry var expiry = chain.Max(x => x.Expiry); var contracts = chain.Where(x => x.Expiry == expiry).OrderBy(x => x.Strike); var putContracts = contracts.Where(x => x.Right == OptionRight.Put).ToArray(); var callContracts = contracts.Where(x => x.Right == OptionRight.Call).ToArray(); if (putContracts.Length < 2 || callContracts.Length < 2) return; // Select the strategy legs var nearCall = callContracts[0]; var farCall = callContracts[1]; var nearPut = putContracts[1]; var farPut = putContracts.Single(x => x.Strike == nearPut.Strike - farCall.Strike + nearCall.Strike); // Order Strategy var shortIronCondor = OptionStrategies.ShortIronCondor( _symbol, farPut.Strike, nearPut.Strike, nearCall.Strike, farCall.Strike, expiry); Buy(shortIronCondor, 2); } } }