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Add Price Volume Trend (PVT) Indicator and Tests
- Implemented the PvtIndicator class for calculating Price Volume Trend in Quantower. - Created unit tests for the Pvt class to validate calculations and state management. - Added validation tests to ensure consistency with OoplesFinance's implementation. - Developed a comprehensive documentation (Pvt.md) explaining the PVT concept, calculations, and usage. - Included methods for batch calculations and streaming updates for PVT.
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using System.Drawing;
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using System.Runtime.CompilerServices;
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using TradingPlatform.BusinessLayer;
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namespace QuanTAlib;
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[SkipLocalsInit]
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public sealed class PvoIndicator : Indicator, IWatchlistIndicator
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{
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[InputParameter("Fast Period", sortIndex: 10, 1, 500, 1, 0)]
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public int FastPeriod { get; set; } = 12;
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[InputParameter("Slow Period", sortIndex: 11, 1, 500, 1, 0)]
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public int SlowPeriod { get; set; } = 26;
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[InputParameter("Signal Period", sortIndex: 12, 1, 500, 1, 0)]
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public int SignalPeriod { get; set; } = 9;
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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 Pvo _pvo = null!;
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private readonly LineSeries _pvoSeries;
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private readonly LineSeries _signalSeries;
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private readonly LineSeries _histogramSeries;
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public int MinHistoryDepths => SlowPeriod;
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int IWatchlistIndicator.MinHistoryDepths => SlowPeriod;
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public override string ShortName => $"PVO({FastPeriod},{SlowPeriod},{SignalPeriod})";
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public override string SourceCodeLink => "https://github.com/mihakralj/QuanTAlib/blob/main/lib/volume/pvo/Pvo.Quantower.cs";
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public PvoIndicator()
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{
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OnBackGround = true;
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SeparateWindow = true;
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Name = "PVO - Percentage Volume Oscillator";
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Description = "Percentage Volume Oscillator measures the difference between two volume EMAs as a percentage of the slower EMA";
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_pvoSeries = new LineSeries(name: "PVO", color: Color.Cyan, width: 2, style: LineStyle.Solid);
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_signalSeries = new LineSeries(name: "Signal", color: Color.Red, width: 1, style: LineStyle.Solid);
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_histogramSeries = new LineSeries(name: "Histogram", color: Color.Gray, width: 1, style: LineStyle.Histogramm);
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AddLineSeries(_pvoSeries);
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AddLineSeries(_signalSeries);
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AddLineSeries(_histogramSeries);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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protected override void OnInit()
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{
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_pvo = new Pvo(FastPeriod, SlowPeriod, SignalPeriod);
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base.OnInit();
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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protected override void OnUpdate(UpdateArgs args)
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{
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TBar bar = this.GetInputBar(args);
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TValue result = _pvo.Update(bar, args.IsNewBar());
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_pvoSeries.SetValue(result.Value, _pvo.IsHot, ShowColdValues);
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_signalSeries.SetValue(_pvo.Signal.Value, _pvo.IsHot, ShowColdValues);
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_histogramSeries.SetValue(_pvo.Histogram.Value, _pvo.IsHot, ShowColdValues);
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}
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}
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