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volatility indicators
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using System.Drawing;
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using System.Runtime.CompilerServices;
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using TradingPlatform.BusinessLayer;
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namespace QuanTAlib;
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[SkipLocalsInit]
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public sealed class CvIndicator : Indicator, IWatchlistIndicator
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{
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[InputParameter("Period", sortIndex: 1, 1, 1000, 1, 0)]
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public int Period { get; set; } = 20;
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[InputParameter("Alpha", sortIndex: 2, 0.01, 0.99, 0.01, 2)]
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public double Alpha { get; set; } = 0.2;
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[InputParameter("Beta", sortIndex: 3, 0.01, 0.99, 0.01, 2)]
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public double Beta { get; set; } = 0.7;
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[IndicatorExtensions.DataSourceInput]
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public SourceType Source { get; set; } = SourceType.Close;
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[InputParameter("Show cold values", sortIndex: 21)]
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public bool ShowColdValues { get; set; } = true;
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private Cv _cv = null!;
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private readonly LineSeries _series;
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private string _sourceName = null!;
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private Func<IHistoryItem, double> _priceSelector = null!;
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public static int MinHistoryDepths => 0;
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int IWatchlistIndicator.MinHistoryDepths => MinHistoryDepths;
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public override string ShortName => $"CV {Period},{Alpha:F2},{Beta:F2}:{_sourceName}";
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public override string SourceCodeLink => "https://github.com/mihakralj/QuanTAlib/blob/main/lib/volatility/cv/Cv.Quantower.cs";
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public CvIndicator()
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{
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OnBackGround = true;
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SeparateWindow = true;
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_sourceName = Source.ToString();
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Name = "CV - Conditional Volatility (GARCH(1,1))";
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Description = "Conditional Volatility calculates GARCH(1,1) volatility, modeling time-varying volatility as a function of past squared returns and past variance";
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_series = new LineSeries(name: "CV", color: IndicatorExtensions.Volatility, width: 2, style: LineStyle.Solid);
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AddLineSeries(_series);
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}
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protected override void OnInit()
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{
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// Validate GARCH stationarity constraint
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if (Alpha + Beta >= 1.0)
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{
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Beta = 0.99 - Alpha; // Adjust beta to maintain stationarity
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}
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_cv = new Cv(Period, Alpha, Beta);
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_sourceName = Source.ToString();
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_priceSelector = Source.GetPriceSelector();
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base.OnInit();
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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protected override void OnUpdate(UpdateArgs args)
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{
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var item = HistoricalData[Count - 1, SeekOriginHistory.Begin];
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TValue result = _cv.Update(new TValue(item.TimeLeft.Ticks, _priceSelector(item)), isNew: args.IsNewBar());
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_series.SetValue(result.Value, _cv.IsHot, ShowColdValues);
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}
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}
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