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);
        }
    }
}