Overall Statistics |
Total Trades 9 Average Win 1.97% Average Loss -1.50% Compounding Annual Return -6.585% Drawdown 1.100% Expectancy -0.074 Net Profit -1.107% Sharpe Ratio -3.299 Probabilistic Sharpe Ratio 0.217% Loss Rate 60% Win Rate 40% Profit-Loss Ratio 1.32 Alpha -0.04 Beta -0.057 Annual Standard Deviation 0.014 Annual Variance 0 Information Ratio -2.325 Tracking Error 0.068 Treynor Ratio 0.813 Total Fees $6.00 Estimated Strategy Capacity $25000.00 Lowest Capacity Asset GOOCV WKNGGL4W0OYU|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 BearPutSpreadStrategy : QCAlgorithm { private Symbol _symbol; public override void Initialize() { SetStartDate(2017, 4, 1); SetEndDate(2017, 5, 30); SetCash(150000); var option = AddOption("GOOG", Resolution.Minute); _symbol = option.Symbol; option.SetFilter(-9, 9, TimeSpan.FromDays(30), TimeSpan.FromDays(60)); } public override void OnData(Slice slice) { // avoid extra orders if (Portfolio.Invested) return; // Get the OptionChain of the symbol var chain = slice.OptionChains.get(_symbol, null); if (chain == null || chain.Count() == 0) return; // sorted the optionchain by expiration date and choose the furthest date var expiry = chain.OrderBy(x => x.Expiry).Last().Expiry; // filter the call options from the contracts expires on that date var calls = chain.Where(x => x.Expiry == expiry && x.Right == OptionRight.Call); // sorted the contracts according to their strike prices var callContracts = calls.OrderBy(x => x.Strike); if (callContracts.Count() == 0) return; // choose OTM call var otmCall = callContracts.Last(); // choose ITM call var itmCall = callContracts.First(); // choose ATM call var atmCall = callContracts.OrderBy(x => Math.Abs(chain.Underlying.Price - x.Strike)).First(); Sell(atmCall.Symbol, 2); Buy(itmCall.Symbol, 1); Buy(otmCall.Symbol, 1); } } }