Overall Statistics |
Total Orders 4 Average Win 0% Average Loss -2.29% Compounding Annual Return 13.038% Drawdown 7.100% Expectancy -0.5 Start Equity 100000 End Equity 103091 Net Profit 3.091% Sharpe Ratio 0.664 Sortino Ratio 0.632 Probabilistic Sharpe Ratio 44.310% Loss Rate 50% Win Rate 50% Profit-Loss Ratio 0 Alpha 0.003 Beta 1.051 Annual Standard Deviation 0.123 Annual Variance 0.015 Information Ratio 0.065 Tracking Error 0.104 Treynor Ratio 0.078 Total Fees $2.00 Estimated Strategy Capacity $180000.00 Lowest Capacity Asset GOOCV VP83T1ZUHROL Portfolio Turnover 0.92% |
#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 LongStraddleAlgorithm : QCAlgorithm { private Symbol _symbol; public override void Initialize() { SetStartDate(2017, 4, 1); SetEndDate(2017, 6, 30); SetCash(100000); var option = AddOption("GOOG"); _symbol = option.Symbol; option.SetFilter(universe => universe.IncludeWeeklys().Straddle(30)); } public override void OnData(Slice slice) { if (Portfolio.Invested || !slice.OptionChains.TryGetValue(_symbol, out var chain)) { return; } // Find ATM options with the nearest expiry var expiry = chain.Min(contract => contract.Expiry); var contracts = chain.Where(contract => contract.Expiry == expiry) .OrderBy(contract => Math.Abs(contract.Strike - chain.Underlying.Price)) .ToArray(); if (contracts.Length < 2) return; var longStraddle = OptionStrategies.Straddle(_symbol, contracts[0].Strike, expiry); Buy(longStraddle, 1); } } }