Overall Statistics |
Total Orders 3 Average Win 0% Average Loss 0% Compounding Annual Return -6.520% Drawdown 0.700% Expectancy 0 Start Equity 100000 End Equity 99619 Net Profit -0.381% Sharpe Ratio -2.723 Sortino Ratio -1.938 Probabilistic Sharpe Ratio 14.881% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.053 Beta 0.124 Annual Standard Deviation 0.023 Annual Variance 0.001 Information Ratio 0.21 Tracking Error 0.055 Treynor Ratio -0.496 Total Fees $3.00 Estimated Strategy Capacity $40000000.00 Lowest Capacity Asset GOOCV 30JDODNXWB9VQ|GOOCV VP83T1ZUHROL Portfolio Turnover 4.16% |
#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 ProtectiveCollarStrategy : QCAlgorithm { private Symbol _equity; private Symbol _symbol; public override void Initialize() { SetStartDate(2017, 4, 1); SetEndDate(2017, 4, 23); SetCash(100000); _equity = AddEquity("GOOG", Resolution.Minute).Symbol; var option = AddOption("GOOG", Resolution.Minute); _symbol = option.Symbol; option.SetFilter(universe => universe.IncludeWeeklys().ProtectiveCollar(30, -1, -10)); } 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; // sort the optionchain by expiration date and choose the furthest date var expiry = chain.OrderBy(x => x.Expiry).Last().Expiry; // filter the call and put options from the contracts expires on that date var calls = chain.Where(x => x.Expiry == expiry && x.Right == OptionRight.Call); var puts = chain.Where(x => x.Expiry == expiry && x.Right == OptionRight.Put); if (calls.Count() == 0 || puts.Count() == 0) return; // select the strike prices var callStrike = calls.OrderBy(x => x.Strike).Last().Strike; var putStrike = puts.OrderBy(x => x.Strike).First().Strike; var protectiveCollar = OptionStrategies.ProtectiveCollar(_symbol, callStrike, putStrike, expiry); Buy(protectiveCollar, 1); } public override void OnEndOfDay(Symbol symbol) { if (symbol.Value == "GOOG") { Log($"{Time}::{symbol}::{Securities[symbol].Price}"); } } } }