Overall Statistics |
Total Orders 4 Average Win 0% Average Loss 0% Compounding Annual Return -11.143% Drawdown 1.000% Expectancy 0 Start Equity 100000 End Equity 99108.5 Net Profit -0.892% Sharpe Ratio -3.838 Sortino Ratio -2.464 Probabilistic Sharpe Ratio 0.208% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.098 Beta 0.036 Annual Standard Deviation 0.025 Annual Variance 0.001 Information Ratio -2.728 Tracking Error 0.065 Treynor Ratio -2.623 Total Fees $4.00 Estimated Strategy Capacity $14000000.00 Lowest Capacity Asset GOOCV 30JDODO6600CM|GOOCV VP83T1ZUHROL Portfolio Turnover 0.29% |
#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 BoxSpreadStrategy : QCAlgorithm { private Symbol _symbol; public override void Initialize() { SetStartDate(2017, 4, 1); SetEndDate(2017, 4, 30); SetCash(100000); UniverseSettings.Asynchronous = true; var option = AddOption("GOOG", Resolution.Minute); _symbol = option.Symbol; option.SetFilter(universe => universe.IncludeWeeklys().BoxSpread(30, 5)); } public override void OnData(Slice slice) { if (Portfolio.Invested) return; // Get the OptionChain if (!slice.OptionChains.TryGetValue(_symbol, out var chain)) { return; } // Select an expiry date var expiry = chain.Max(x => x.Expiry); // Select the strike prices of the contracts var contracts = chain.Where(x => x.Expiry == expiry).ToList(); var higherStrike = contracts.Max(x => x.Strike); var lowerStrike = contracts.Min(x => x.Strike); var boxSpread = OptionStrategies.BoxSpread(_symbol, higherStrike, lowerStrike, expiry); Buy(boxSpread, 1); } public override void OnEndOfDay(Symbol symbol) { if (symbol == _symbol.Underlying) { Log($"{Time}::{symbol}::{Securities[symbol].Price}"); } } } }