Files
Miha Kralj 92709ef2ed Add Stochastic Oscillator implementation and validation tests
- Implemented Stochastic Oscillator (%K and %D) in Stoch.cs with streaming and batch processing capabilities.
- Added validation tests for the Stochastic Oscillator in Stoch.Validation.Tests.cs, ensuring consistency with Skender.Stock.Indicators.
- Created documentation for the Stochastic Oscillator in Stoch.md, detailing its mathematical formula, architecture, parameters, and common pitfalls.
- Updated project file to include necessary numeric libraries for highest and lowest calculations.
2026-02-12 14:29:54 -08:00

64 lines
1.9 KiB
C#

using System.Drawing;
using System.Runtime.CompilerServices;
using TradingPlatform.BusinessLayer;
namespace QuanTAlib;
[SkipLocalsInit]
public sealed class InertiaIndicator : Indicator, IWatchlistIndicator
{
[InputParameter("Period", sortIndex: 1, 1, 1000, 1, 0)]
public int Period { get; set; } = 20;
[IndicatorExtensions.DataSourceInput(sortIndex: 2)]
public SourceType Source { get; set; } = SourceType.Close;
[InputParameter("Show cold values", sortIndex: 21)]
public bool ShowColdValues { get; set; } = true;
private Inertia _inertia = null!;
private readonly LineSeries _series;
public static int MinHistoryDepths => 0;
int IWatchlistIndicator.MinHistoryDepths => MinHistoryDepths;
public override string ShortName => $"INERTIA ({Period})";
public override string SourceCodeLink => "https://github.com/mihakralj/QuanTAlib/blob/main/lib/oscillators/inertia/Inertia.Quantower.cs";
public InertiaIndicator()
{
OnBackGround = true;
SeparateWindow = true;
Name = "INERTIA - Inertia Oscillator";
Description = "Linear regression residual measuring price deviation from trend";
_series = new LineSeries("INERTIA", Color.Yellow, 2, LineStyle.Solid);
AddLineSeries(_series);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void OnInit()
{
_inertia = new Inertia(Period);
base.OnInit();
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void OnUpdate(UpdateArgs args)
{
var priceSelector = Source.GetPriceSelector();
var item = HistoricalData[0, SeekOriginHistory.End];
double price = priceSelector(item);
TValue input = new(item.TimeLeft, price);
TValue result = _inertia.Update(input, args.IsNewBar());
if (!_inertia.IsHot && !ShowColdValues)
{
return;
}
_series.SetValue(result.Value);
}
}