Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 17.290% Drawdown 16.600% Expectancy 0 Net Profit 27.278% Sharpe Ratio 0.543 Sortino Ratio 0.735 Probabilistic Sharpe Ratio 39.026% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0 Beta 0.993 Annual Standard Deviation 0.141 Annual Variance 0.02 Information Ratio -0.894 Tracking Error 0.001 Treynor Ratio 0.077 Total Fees $1.35 Estimated Strategy Capacity $500000000.00 Lowest Capacity Asset SPY R735QTJ8XC9X Portfolio Turnover 0.18% |
#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; using QuantConnect.Securities.Volatility; #endregion namespace QuantConnect.Algorithm.CSharp { public class CustomVolatilityModelAlgorithm : QCAlgorithm { public override void Initialize() { SetStartDate(2022, 7, 1); SetCash(100000); var security = AddEquity("SPY", Resolution.Daily); security.VolatilityModel = new MyVolatilityModel(); } /// 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) { if (!Portfolio.Invested) { SetHoldings("SPY", 1); } } } public class MyVolatilityModel : BaseVolatilityModel { public override decimal Volatility { get; } public override void SetSubscriptionDataConfigProvider( ISubscriptionDataConfigProvider subscriptionDataConfigProvider) { SubscriptionDataConfigProvider = subscriptionDataConfigProvider; } public override void Update(Security security, BaseData data) { } public override IEnumerable<HistoryRequest> GetHistoryRequirements( Security security, DateTime utcTime) { return base.GetHistoryRequirements(security, utcTime); } public new IEnumerable<HistoryRequest> GetHistoryRequirements( Security security, DateTime utcTime, Resolution? resolution, int barCount) { return base.GetHistoryRequirements(security, utcTime, resolution, barCount); } } }