Files
QuanTAlib/lib/numerics/ifft/Ifft.Quantower.cs
T
2026-02-26 09:59:44 -08:00

66 lines
2.0 KiB
C#

using System.Drawing;
using TradingPlatform.BusinessLayer;
using static QuanTAlib.IndicatorExtensions;
namespace QuanTAlib;
/// <summary>
/// IFFT (Inverse FFT Spectral Low-Pass Filter) Quantower indicator.
/// Reconstructs a filtered price value by summing DC plus first N harmonics
/// of the Hanning-windowed DFT. Overlays on the price chart.
/// </summary>
public class IfftIndicator : Indicator, IWatchlistIndicator
{
[DataSourceInput]
public SourceType Source { get; set; } = SourceType.Close;
[InputParameter("Window Size", sortIndex: 0, minimum: 32, maximum: 128)]
public int WindowSize { get; set; } = 64;
[InputParameter("Harmonics", sortIndex: 1, minimum: 1, maximum: 64)]
public int NumHarmonics { get; set; } = 5;
[InputParameter("Show Cold Values", sortIndex: 100)]
public bool ShowColdValues { get; set; } = true;
private Ifft? _ifft;
private Func<IHistoryItem, double>? _selector;
public int MinHistoryDepths => WindowSize;
public override string ShortName => $"IFFT({WindowSize},{NumHarmonics})";
public IfftIndicator()
{
Name = "IFFT - Inverse FFT Spectral Low-Pass Filter";
Description = "Spectral low-pass reconstruction using Hanning-windowed DFT harmonics";
SeparateWindow = false;
}
protected override void OnInit()
{
_ifft = new Ifft(WindowSize, NumHarmonics);
_selector = Source.GetPriceSelector();
AddLineSeries(new LineSeries("IFFT", Color.Cyan, 2, LineStyle.Solid));
}
protected override void OnUpdate(UpdateArgs args)
{
if (_ifft == null || _selector == null)
{
return;
}
var item = HistoricalData[0, SeekOriginHistory.End];
double value = _selector(item);
bool isNew = args.IsNewBar();
TValue input = new(item.TimeLeft, value);
_ifft.Update(input, isNew);
bool isHot = _ifft.IsHot;
LinesSeries[0].SetValue(_ifft.Last.Value, isHot, ShowColdValues);
}
}