Overall Statistics |
Total Orders 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 100000 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 $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset Portfolio Turnover 0% |
#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 AdaptableSkyBlueChinchilla : QCAlgorithm { public override void Initialize() { SetStartDate(2024, 2, 19); SetEndDate(2024, 2, 20); SetCash(100000); // var option = AddOption("SPY", Resolution.Daily).Symbol; var spy = AddEquity("SPY", Resolution.Daily).Symbol; // Strikes with IV 0 var strikes = new decimal[] { 516.0m, 522.0m, 524.0m, 526.0m, 528.0m, 532.0m, 534.0m, 536.0m, 538.0m }; var processingDate = new DateTime(2024, 2, 7); var contracts = OptionChainProvider.GetOptionContractList(spy, processingDate) .Where(x => x.ID.Date == new DateTime(2024, 2, 9) && strikes.Contains(x.ID.StrikePrice)) .ToList(); foreach (var contract in contracts) { Log(contract.Value); } // AddOptionContract(contract, Resolution.Daily); var history = History(contracts, new DateTime(2024, 2, 1), new DateTime(2024, 2, 15), Resolution.Daily).ToList(); if (history.Count == 0) { // throw new Exception("Empty history"); } var foundList = contracts.ToDictionary(x => x, x => false); foreach (var data in history) { foreach (var datum in data.AllData.Where(x => x.EndTime == processingDate)) { foundList[datum.Symbol] = true; } } var notFound = foundList.Where(kvp => !kvp.Value).OrderBy(kvp => kvp.Key.ID.StrikePrice).Select(kvp => kvp.Key.Value).ToList(); if (notFound.Count > 0) { // throw new Exception($"Data not found for {notFound.Count}/{contracts.Count} contracts:\n{string.Join("\n", notFound)}"); } } /// 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 data) { // foreach (var d in data.AllData/*.Where(x => x.Symbol.SecurityType.IsOption())*/) // { // var time = d.Time; // var endTime = d.EndTime; // Log($"[{d.Time} - {d.EndTime}] :: {d.Symbol} :: {d}"); // } // Log("-------------------"); } } }