Overall Statistics |
Total Orders 3 Average Win 0% Average Loss 0% Compounding Annual Return -11.793% Drawdown 1.200% Expectancy 0 Start Equity 100000 End Equity 99292 Net Profit -0.708% Sharpe Ratio -2.439 Sortino Ratio -1.913 Probabilistic Sharpe Ratio 15.778% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.122 Beta -0.303 Annual Standard Deviation 0.041 Annual Variance 0.002 Information Ratio -0.318 Tracking Error 0.084 Treynor Ratio 0.33 Total Fees $3.00 Estimated Strategy Capacity $68000.00 Lowest Capacity Asset GOOCV WJVVXYUIC7ZA|GOOCV VP83T1ZUHROL Portfolio Turnover 0.19% |
#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 BullCallLadderStrategy : 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.Strikes(-5, 5).Expiration(0, 30)); } public override void OnData(Slice slice) { if (Portfolio.Invested || !slice.OptionChains.TryGetValue(_symbol, out var chain)) { return; } // Select the call Option contracts with the furthest expiry var expiry = chain.Max(x => x.Expiry); var calls = chain.Where(x => x.Expiry == expiry && x.Right == OptionRight.Call); if (calls.Count() == 0) return; // Select the strike prices from the remaining contracts var strikes = calls.Select(x => x.Strike).Distinct().OrderBy(x => x).ToList(); if (strikes.Count < 3) { return; } var lowStrike = strikes[0]; var middleStrike = strikes[1]; var highStrike = strikes[2]; // Order Strategy var optionStrategy = OptionStrategies.BullCallLadder(_symbol, lowStrike, middleStrike, highStrike, expiry); Buy(optionStrategy, 1); } } }