Overall Statistics |
Total Orders 10 Average Win 23.45% Average Loss -19.68% Compounding Annual Return 1.398% Drawdown 1.000% Expectancy 0.096 Start Equity 200000 End Equity 202805 Net Profit 1.402% Sharpe Ratio 0.206 Sortino Ratio 0.441 Probabilistic Sharpe Ratio 24.277% Loss Rate 50% Win Rate 50% Profit-Loss Ratio 1.19 Alpha 0.002 Beta 0.009 Annual Standard Deviation 0.017 Annual Variance 0 Information Ratio -0.572 Tracking Error 0.275 Treynor Ratio 0.369 Total Fees $0.00 Estimated Strategy Capacity $9200000.00 Lowest Capacity Asset SPX XL80P4UFCXOU|SPX 31 Portfolio Turnover 0.36% |
#region imports using Newtonsoft.Json; 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.Portfolio.SignalExports; using QuantConnect.Algorithm.Framework.Execution; using QuantConnect.Algorithm.Framework.Risk; using QuantConnect.Algorithm.Selection; using QuantConnect.Api; using QuantConnect.Parameters; using QuantConnect.Benchmarks; using QuantConnect.Brokerages; using QuantConnect.Configuration; using QuantConnect.Util; using QuantConnect.Interfaces; using QuantConnect.Algorithm; using QuantConnect.Indicators; using QuantConnect.Data; using QuantConnect.Data.Auxiliary; using QuantConnect.Data.Consolidators; using QuantConnect.Data.Custom; using QuantConnect.Data.Custom.IconicTypes; using QuantConnect.DataSource; using QuantConnect.Data.Fundamental; using QuantConnect.Data.Market; using QuantConnect.Data.Shortable; using QuantConnect.Data.UniverseSelection; using QuantConnect.Notifications; using QuantConnect.Orders; using QuantConnect.Orders.Fees; using QuantConnect.Orders.Fills; using QuantConnect.Orders.OptionExercise; using QuantConnect.Orders.Slippage; using QuantConnect.Orders.TimeInForces; using QuantConnect.Python; using QuantConnect.Scheduling; using QuantConnect.Securities; using QuantConnect.Securities.Equity; using QuantConnect.Securities.Future; using QuantConnect.Securities.Option; using QuantConnect.Securities.Positions; using QuantConnect.Securities.Forex; using QuantConnect.Securities.Crypto; using QuantConnect.Securities.CryptoFuture; using QuantConnect.Securities.Interfaces; using QuantConnect.Securities.Volatility; using QuantConnect.Storage; using QuantConnect.Statistics; using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion namespace QuantConnect { public class VixBullSpreadAlgorithm : QCAlgorithm { private Symbol _optionSymbol; public override void Initialize() { SetStartDate(2020, 1, 1); SetEndDate(2021, 1, 1); SetCash(200000); // Asynchronous can use computational resources efficiently UniverseSettings.Asynchronous = true; // Filter to get ATM calls expiring in 180 days to form the Bull Call Spread var option = AddIndexOption("SPX"); option.SetFilter((u) => u.CallsOnly().Strikes(-2, +2).Expiration(0, 180)); _optionSymbol = option.Symbol; } public override void OnData(Slice slice) { if (!Portfolio.Invested && IsMarketOpen(_optionSymbol)) { // Make sure getting the updated VIX option chain if (slice.OptionChains.TryGetValue(_optionSymbol, out var chain)) { var expiry = chain.Max(x => x.Expiry); var callContracts = chain .Where(x => x.Expiry == expiry) .OrderBy(x => x.Strike) .ToList(); // Need 2 contracts to form a call spread if (callContracts.Count < 2) { return; } // Obtain 2 call contracts with different strike price to form the call spread var longCall = callContracts.First(); var shortCall = callContracts.First(contract => contract.Strike > longCall.Strike); // Use all the buying power, but need to ensure the order size of the long and short call are the same var quantity = new[] { CalculateOrderQuantity(shortCall.Symbol, -1m), CalculateOrderQuantity(longCall.Symbol, 1m) } .Min(x=> Math.Abs(x)); MarketOrder(shortCall.Symbol, -quantity); MarketOrder(longCall.Symbol, quantity); var expectedMarginUsage = Math.Max((longCall.Strike - shortCall.Strike) * Securities[longCall.Symbol].SymbolProperties.ContractMultiplier * quantity, 0); if (expectedMarginUsage != Portfolio.TotalMarginUsed) { throw new Exception("Unexpect margin used!"); } } } } public override void OnSecuritiesChanged(SecurityChanges changes) { foreach (var security in changes.AddedSecurities) { if (security.Type == SecurityType.IndexOption) { // Historical data var history = History(security.Symbol, 10, Resolution.Minute); Debug($"We got {history.Count()} from our history request for {security.Symbol}"); } } } } }