mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-19 02:58:05 +00:00
- Implemented AFIRMA (Autoregressive Finite Impulse Response Moving Average) class with support for various window types and batch processing. - Created unit tests for AFIRMA to validate internal consistency, streaming, and batch processing. - Added comprehensive documentation for AFIRMA, including usage examples, performance profile, and parameter selection guide. - Removed obsolete omnisharp.json configuration file.
62 lines
2.1 KiB
C#
62 lines
2.1 KiB
C#
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 AfirmaIndicator : Indicator, IWatchlistIndicator
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{
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[InputParameter("Period", sortIndex: 1, 1, 2000, 1, 0)]
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public int Period { get; set; } = 10;
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[InputParameter("Taps", sortIndex: 2, 1, 100, 1, 0)]
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public int Taps { get; set; } = 6;
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[InputParameter("Window", sortIndex: 3)]
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public Afirma.WindowType Window { get; set; } = Afirma.WindowType.BlackmanHarris;
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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 Afirma? _afirma;
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private readonly LineSeries? _series;
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private string? _sourceName;
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private Func<IHistoryItem, double>? _priceSelector;
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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 => $"AFIRMA {Period},{Taps}:{_sourceName}";
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public AfirmaIndicator()
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{
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OnBackGround = true;
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SeparateWindow = false;
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Name = "AFIRMA - Autoregressive FIR Moving Average";
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Description = "Hybrid filter combining ARMA modeling, FIR filtering, and cubic spline fitting";
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_series = new(name: $"AFIRMA {Period}", color: IndicatorExtensions.Averages, 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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_priceSelector = Source.GetPriceSelector();
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_sourceName = Source.ToString();
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_afirma = new Afirma(Period, Taps, Window);
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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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bool isNew = args.IsNewBar();
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var item = HistoricalData[Count - 1, SeekOriginHistory.Begin];
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double value = _afirma!.Update(new TValue(item.TimeLeft.Ticks, _priceSelector!(item)), isNew).Value;
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_series!.SetValue(value, _afirma.IsHot, ShowColdValues);
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}
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}
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