Overall Statistics |
Total Orders 3 Average Win 0% Average Loss 0% Compounding Annual Return -7.673% Drawdown 0.600% Expectancy 0 Start Equity 100000 End Equity 99549 Net Profit -0.451% Sharpe Ratio -4.106 Sortino Ratio -4.934 Probabilistic Sharpe Ratio 9.844% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.079 Beta -0.115 Annual Standard Deviation 0.017 Annual Variance 0 Information Ratio 0.046 Tracking Error 0.066 Treynor Ratio 0.611 Total Fees $3.00 Estimated Strategy Capacity $12000000.00 Lowest Capacity Asset GOOCV 30JDODO6600CM|GOOCV VP83T1ZUHROL Portfolio Turnover 4.17% |
#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 ReverseConversionStrategy : 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().Conversion(30, -5)); } public override void OnData(Slice slice) { if (Portfolio.Invested) return; // Get the OptionChain of the symbol if (!slice.OptionChains.TryGetValue(_symbol, out var chain)) return; // sort the optionchain by expiration date and choose the furthest date var expiry = chain.OrderBy(x => x.Expiry).Last().Expiry; // select ATM strike price var strike = chain.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike; // Order Strategy var reverseConversion = OptionStrategies.ReverseConversion(_symbol, strike, expiry); Buy(reverseConversion, 1); } public override void OnEndOfDay(Symbol symbol) { if (symbol.Value == "GOOG") { Log($"{Time}::{symbol}::{Securities[symbol].Price}"); } } } }