Overall Statistics |
Total Orders 1170 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 72530 Net Profit 0% Sharpe Ratio 0 Sortino Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $10140.00 Estimated Strategy Capacity $110000.00 Lowest Capacity Asset AAPL YLZ9ZF8ASHQE|AAPL R735QTJ8XC9X Portfolio Turnover 1373.12% |
#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.Algorithm.Selection; 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 QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion namespace QuantConnect.Algorithm.CSharp { public class FocusedGreenWhale : QCAlgorithm { private Symbol _optionSymbol; private int ComboOrderQuantity { get; } = 10; private List<Leg> OrderLegs { get; set; } private List<OrderTicket> Tickets { get; set; } bool _isPlaceFirstTime; bool _isPlaceSecondTime; public override void Initialize() { SetStartDate(2024, 9, 15); SetCash(100000); var equity = AddEquity("AAPL"); var option = AddOption(equity.Symbol); _optionSymbol = option.Symbol; option.SetFilter(u => u.Strikes(-2, +2) .Expiration(0, 180)); SetWarmUp(TimeSpan.FromDays(2)); } /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. /// Slice object keyed by symbol containing the stock data public override void OnData(Slice slice) { if (IsWarmingUp) { return; } if (OrderLegs == null && !_isPlaceFirstTime) { if (IsMarketOpen(_optionSymbol) && slice.OptionChains.TryGetValue(_optionSymbol, out var chain)) { var callContracts = chain.Where(contract => contract.Right == OptionRight.Call) .GroupBy(x => x.Expiry) .OrderBy(grouping => grouping.Key) .First() .OrderBy(x => x.Strike) .ToList(); // Let's wait until we have at least three contracts if (callContracts.Count < 3) { return; } OrderLegs = new List<Leg>() { Leg.Create(callContracts[0].Symbol, 1), Leg.Create(callContracts[1].Symbol, -2), Leg.Create(callContracts[2].Symbol, 1) }; Tickets = ComboMarketOrder(OrderLegs, ComboOrderQuantity).ToList(); } _isPlaceFirstTime = true; return; } if (!_isPlaceSecondTime) { _isPlaceSecondTime = true; Tickets = ComboMarketOrder(OrderLegs, ComboOrderQuantity * -1).ToList(); } else { _isPlaceSecondTime = false; Tickets = ComboMarketOrder(OrderLegs, ComboOrderQuantity).ToList(); } } } }