| 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);
}
}
}