Files
Miha Kralj 7253f61299 Add TRAMA implementation and comprehensive tests
- Implemented the TRAMA (Trend Regularity Adaptive Moving Average) class with adaptive EMA logic.
- Added unit tests for TRAMA functionality, including constructor validation, basic calculations, state management, and robustness checks.
- Created validation tests to ensure consistency across different modes of operation (streaming, batch, and static calculations).
- Enhanced documentation for TRAMA, including performance profiles and quality metrics.
- Updated workspace configuration by removing unnecessary folder references.
2026-02-21 20:45:38 -08:00

62 lines
2.1 KiB
C#

using System.Drawing;
using System.Runtime.CompilerServices;
using TradingPlatform.BusinessLayer;
namespace QuanTAlib;
[SkipLocalsInit]
public class GdemaIndicator : Indicator, IWatchlistIndicator
{
[InputParameter("Period", sortIndex: 1, 1, 1000, 1, 0)]
public int Period { get; set; } = 10;
[InputParameter("Volume Factor (v)", sortIndex: 2, 0.0, 3.0, 0.1, 1)]
public double VFactor { get; set; } = 1.0;
[IndicatorExtensions.DataSourceInput]
public SourceType Source { get; set; } = SourceType.Close;
[InputParameter("Show cold values", sortIndex: 21)]
public bool ShowColdValues { get; set; } = true;
private Gdema ma = null!;
protected LineSeries Series;
protected string SourceName = null!;
private Func<IHistoryItem, double> _priceSelector = null!;
public static int MinHistoryDepths => 0;
int IWatchlistIndicator.MinHistoryDepths => MinHistoryDepths;
public override string ShortName => $"GDEMA {Period},{VFactor:F1}:{SourceName}";
public override string SourceCodeLink => "https://github.com/mihakralj/QuanTAlib/blob/main/lib/trends_IIR/gdema/Gdema.Quantower.cs";
public GdemaIndicator()
{
OnBackGround = true;
SeparateWindow = false;
SourceName = Source.ToString();
Name = "GDEMA - Generalized Double Exponential Moving Average";
Description = "Generalized Double Exponential Moving Average with tunable volume factor";
Series = new LineSeries(name: $"GDEMA {Period}", color: IndicatorExtensions.Averages, width: 2, style: LineStyle.Solid);
AddLineSeries(Series);
}
protected override void OnInit()
{
ma = new Gdema(Period, VFactor);
SourceName = Source.ToString();
_priceSelector = Source.GetPriceSelector();
base.OnInit();
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void OnUpdate(UpdateArgs args)
{
var item = HistoricalData[Count - 1, SeekOriginHistory.Begin];
TValue result = ma.Update(new TValue(item.TimeLeft.Ticks, _priceSelector(item)), isNew: args.IsNewBar());
Series.SetValue(result.Value, ma.IsHot, ShowColdValues);
}
}