Files
QuanTAlib/quantower/Trends/Sgma.Quantower.cs
T
2026-01-25 16:01:45 -08:00

68 lines
2.1 KiB
C#

// Sgma.Quantower.cs - Quantower adapter for Savitzky-Golay Moving Average
using System.Drawing;
using TradingPlatform.BusinessLayer;
using static QuanTAlib.IndicatorExtensions;
namespace QuanTAlib;
/// <summary>
/// SGMA: Savitzky-Golay Moving Average - Quantower Indicator Adapter
/// A FIR filter that uses polynomial fitting to smooth data while preserving
/// higher moments (peaks, valleys, and inflection points).
/// </summary>
public sealed class SgmaIndicator : Indicator, IWatchlistIndicator
{
[InputParameter("Period", sortIndex: 10, minimum: 3, maximum: 500, increment: 2, decimalPlaces: 0)]
public int Period { get; set; } = 9;
[InputParameter("Polynomial Degree", sortIndex: 11, minimum: 0, maximum: 4, increment: 1, decimalPlaces: 0)]
public int Degree { get; set; } = 2;
[DataSourceInput]
public SourceType Source { get; set; } = SourceType.Close;
[InputParameter("Show Cold Values", sortIndex: 100)]
public bool ShowColdValues { get; set; } = true;
private Sgma? _sgma;
private Func<IHistoryItem, double>? _selector;
public int MinHistoryDepths => Period;
public override string ShortName => $"SGMA({Period},{Degree})";
public SgmaIndicator()
{
Name = "SGMA - Savitzky-Golay Moving Average";
Description = "A FIR filter using polynomial fitting for smoothing with shape preservation.";
SeparateWindow = false;
OnBackGround = false;
}
protected override void OnInit()
{
_sgma = new Sgma(Period, Degree);
_selector = Source.GetPriceSelector();
AddLineSeries(new LineSeries("SGMA", Averages, 2, LineStyle.Solid));
}
protected override void OnUpdate(UpdateArgs args)
{
if (_sgma == null || _selector == null)
{
return;
}
var item = HistoricalData[0, SeekOriginHistory.End];
double value = _selector(item);
bool isNew = args.IsNewBar();
TValue input = new(item.TimeLeft, value);
var result = _sgma.Update(input, isNew);
bool isHot = _sgma.IsHot;
LinesSeries[0].SetValue(result.Value, isHot, ShowColdValues);
}
}