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https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-23 04:58:08 +00:00
adding missing validations
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using System.Drawing;
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using TradingPlatform.BusinessLayer;
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using static QuanTAlib.IndicatorExtensions;
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namespace QuanTAlib;
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/// <summary>
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/// IFFT (Inverse FFT Spectral Low-Pass Filter) Quantower indicator.
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/// Reconstructs a filtered price value by summing DC plus first N harmonics
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/// of the Hanning-windowed DFT. Overlays on the price chart.
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/// </summary>
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public class IfftIndicator : Indicator, IWatchlistIndicator
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{
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[DataSourceInput]
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public SourceType Source { get; set; } = SourceType.Close;
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[InputParameter("Window Size", sortIndex: 0, minimum: 32, maximum: 128)]
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public int WindowSize { get; set; } = 64;
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[InputParameter("Harmonics", sortIndex: 1, minimum: 1, maximum: 64)]
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public int NumHarmonics { get; set; } = 5;
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[InputParameter("Show Cold Values", sortIndex: 100)]
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public bool ShowColdValues { get; set; } = true;
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private Ifft? _ifft;
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private Func<IHistoryItem, double>? _selector;
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public int MinHistoryDepths => WindowSize;
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public override string ShortName => $"IFFT({WindowSize},{NumHarmonics})";
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public IfftIndicator()
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{
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Name = "IFFT - Inverse FFT Spectral Low-Pass Filter";
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Description = "Spectral low-pass reconstruction using Hanning-windowed DFT harmonics";
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SeparateWindow = false;
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}
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protected override void OnInit()
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{
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_ifft = new Ifft(WindowSize, NumHarmonics);
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_selector = Source.GetPriceSelector();
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AddLineSeries(new LineSeries("IFFT", Color.Cyan, 2, LineStyle.Solid));
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}
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protected override void OnUpdate(UpdateArgs args)
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{
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if (_ifft == null || _selector == null)
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{
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return;
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}
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var item = HistoricalData[0, SeekOriginHistory.End];
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double value = _selector(item);
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bool isNew = args.IsNewBar();
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TValue input = new(item.TimeLeft, value);
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_ifft.Update(input, isNew);
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bool isHot = _ifft.IsHot;
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LinesSeries[0].SetValue(_ifft.Last.Value, isHot, ShowColdValues);
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}
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}
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