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https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-04 12:07:44 +00:00
ed5e5c8209
- Implement tests for HMA (Hull Moving Average) indicator to verify default settings, history depth calculations, and value computations during updates. - Create tests for KAMA (Kaufman Adaptive Moving Average) indicator, ensuring correct defaults, history depth, and value calculations. - Add tests for SMA (Simple Moving Average) indicator, checking default values, history depth, and value computations. - Develop tests for T3 (Tillson T3 Moving Average) indicator, validating defaults, history depth, and value calculations. - Implement tests for TEMA (Triple Exponential Moving Average) indicator, ensuring correct defaults and value computations. - Create tests for TRIMA (Triangular Moving Average) indicator, verifying defaults, history depth, and value calculations. - Add tests for WMA (Weighted Moving Average) indicator, checking default values, history depth, and value computations.
66 lines
2.2 KiB
C#
66 lines
2.2 KiB
C#
using System.Drawing;
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using TradingPlatform.BusinessLayer;
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namespace QuanTAlib;
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public class TemaIndicator : Indicator, IWatchlistIndicator
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{
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[InputParameter("Period", sortIndex: 1, 1, 1000, 1, 0)]
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public int Period { get; set; } = 10;
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[IndicatorExtensions.DataSourceInput]
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public SourceType Source { get; set; } = SourceType.Close;
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[InputParameter("Show cold values", sortIndex: 21)]
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public bool ShowColdValues { get; set; } = true;
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private Tema? ma;
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protected LineSeries? Series;
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protected string? SourceName;
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private int _warmupBarIndex = -1;
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public int MinHistoryDepths => Period;
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int IWatchlistIndicator.MinHistoryDepths => MinHistoryDepths;
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public override string ShortName => $"TEMA {Period}:{SourceName}";
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public override string SourceCodeLink => "https://github.com/mihakralj/QuanTAlib/blob/main/lib/trends/tema/Tema.Quantower.cs";
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public TemaIndicator()
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{
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OnBackGround = true;
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SeparateWindow = false;
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SourceName = Source.ToString();
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Name = "TEMA - Triple Exponential Moving Average";
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Description = "Triple Exponential Moving Average";
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Series = new(name: $"TEMA {Period}", color: IndicatorExtensions.Averages, width: 2, style: LineStyle.Solid);
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AddLineSeries(Series);
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}
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protected override void OnInit()
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{
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ma = new Tema(Period);
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SourceName = Source.ToString();
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_warmupBarIndex = -1;
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base.OnInit();
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}
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protected override void OnUpdate(UpdateArgs args)
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{
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TValue input = this.GetInputValue(args, Source);
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bool isNew = args.Reason == UpdateReason.NewBar || args.Reason == UpdateReason.HistoricalBar;
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TValue result = ma!.Update(input, isNew);
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Series!.SetValue(result.Value);
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Series!.SetMarker(0, Color.Transparent);
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if (_warmupBarIndex < 0 && ma!.IsHot)
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_warmupBarIndex = Count;
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}
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public override void OnPaintChart(PaintChartEventArgs args)
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{
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base.OnPaintChart(args);
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int warmupPeriod = _warmupBarIndex > 0 ? _warmupBarIndex : Count;
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this.PaintSmoothCurve(args, Series!, warmupPeriod, showColdValues: ShowColdValues, tension: 0.2);
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}
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}
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