mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-07 21:47:43 +00:00
b3a64f18fa
- Added Ztest class to compute the one-sample t-statistic using sample standard deviation with Bessel correction. - Implemented validation tests for Ztest to ensure accuracy against manual calculations and PineScript. - Updated documentation for Ztest, detailing its mathematical foundation, performance profile, and common pitfalls. - Adjusted NDepend badges to reflect changes in code metrics after implementation. - Updated missing indicators report to reflect the completion of statistical indicators, including ZTEST.
64 lines
2.2 KiB
C#
64 lines
2.2 KiB
C#
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 PercentileIndicator : Indicator, IWatchlistIndicator
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{
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[InputParameter("Period", sortIndex: 1, 1, 2000, 1, 0)]
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public int Period { get; set; } = 14;
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[InputParameter("Percentile (0-100)", sortIndex: 2, 0, 100, 0.1, 1)]
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public double Percent { get; set; } = 50.0;
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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 Percentile _percentile = null!;
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private readonly LineSeries _series;
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private Func<IHistoryItem, double> _priceSelector = null!;
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public static int MinHistoryDepths => 0;
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int IWatchlistIndicator.MinHistoryDepths => MinHistoryDepths;
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public override string ShortName => $"Percentile {Period} ({Percent}%)";
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public override string SourceCodeLink => "https://github.com/mihakralj/QuanTAlib/blob/main/lib/statistics/percentile/Percentile.Quantower.cs";
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public PercentileIndicator()
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{
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OnBackGround = true;
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SeparateWindow = false;
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Name = "Percentile - Rolling Percentile";
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Description = "Value below which a given percentage of observations fall in a rolling window";
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_series = new LineSeries(name: "Percentile", color: IndicatorExtensions.Statistics, width: 2, style: LineStyle.Solid);
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AddLineSeries(_series);
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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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_percentile = new Percentile(Period, Percent);
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_priceSelector = Source.GetPriceSelector();
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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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var item = this.HistoricalData[this.Count - 1, SeekOriginHistory.Begin];
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double value = _priceSelector(item);
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var time = this.HistoricalData.Time();
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var input = new TValue(time, value);
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TValue result = _percentile.Update(input, args.IsNewBar());
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_series.SetValue(result.Value, _percentile.IsHot, ShowColdValues);
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}
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}
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