Overall Statistics |
Total Trades 3 Average Win 0.22% Average Loss 0% Compounding Annual Return 1.471% Drawdown 1.500% Expectancy 0 Net Profit 0.243% Sharpe Ratio 0.357 Probabilistic Sharpe Ratio 37.744% Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.02 Beta 0.09 Annual Standard Deviation 0.03 Annual Variance 0.001 Information Ratio 0.662 Tracking Error 0.164 Treynor Ratio 0.119 Total Fees $2.00 Estimated Strategy Capacity $17000000.00 Lowest Capacity Asset IBM R735QTJ8XC9X |
#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 _equity; private Symbol _symbol; public override void Initialize() { SetStartDate(2016, 1, 1); SetEndDate(2016, 3, 1); SetCash(100000); _equity = AddEquity("IBM", Resolution.Minute).Symbol; var option = AddOption("IBM", Resolution.Minute); _symbol = option.Symbol; option.SetFilter(universe => universe.Strikes(-3, 3) .Expiration(TimeSpan.FromDays(0), TimeSpan.FromDays(30))); } public override void OnData(Slice slice) { if (Portfolio.Invested) return; // Get the OptionChain of the symbol var chain = slice.OptionChains.get(_symbol, null); if (chain == null || chain.Count() == 0) return; // get at-the-money strike var atmStrike = chain.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike; // filter the call options from the contracts which is ATM in the option chain. var calls = chain.Where(x => x.Strike == atmStrike && x.Right == OptionRight.Call); if (calls.Count() == 0) return; // sort the contracts by expiration date var contracts = calls.OrderBy(x => x.Expiry); // select the farest expiry as far-leg expiry, and the nearest expiry as near-leg expiry var contract = contracts.Last(); Sell(contract.Symbol, 1); Buy(_equity, 100); } } }