mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-28 17:57:45 +00:00
bcb52ef5ec
- Implemented CCV class for calculating annualized log return volatility using SMA, EMA, and WMA smoothing methods. - Added comprehensive unit tests for CCV to validate mathematical correctness, consistency across methods, and edge cases. - Created documentation for CCV detailing its mathematical foundation, smoothing methods, and performance metrics.
63 lines
2.3 KiB
C#
63 lines
2.3 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 BbwpIndicator : 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; } = 20;
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[InputParameter("Multiplier", sortIndex: 2, 0.1, 10, 0.1, 1)]
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public double Multiplier { get; set; } = 2.0;
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[InputParameter("Lookback", sortIndex: 3, 1, 2000, 1, 0)]
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public int Lookback { get; set; } = 252;
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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 Bbwp _bbwp = null!;
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private readonly LineSeries _series;
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private string _sourceName = null!;
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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 => $"BBWP {Period},{Multiplier:F1},{Lookback}:{_sourceName}";
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public override string SourceCodeLink => "https://github.com/mihakralj/QuanTAlib/blob/main/lib/volatility/bbwp/Bbwp.Quantower.cs";
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public BbwpIndicator()
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{
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OnBackGround = true;
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SeparateWindow = true;
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_sourceName = Source.ToString();
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Name = "BBWP - Bollinger Band Width Percentile";
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Description = "Bollinger Band Width Percentile measures where the current bandwidth falls within its historical distribution as a percentile rank";
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_series = new LineSeries(name: "BBWP", color: IndicatorExtensions.Volatility, 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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_bbwp = new Bbwp(Period, Multiplier, Lookback);
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_sourceName = Source.ToString();
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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 = HistoricalData[Count - 1, SeekOriginHistory.Begin];
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TValue result = _bbwp.Update(new TValue(item.TimeLeft.Ticks, _priceSelector(item)), isNew: args.IsNewBar());
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_series.SetValue(result.Value, _bbwp.IsHot, ShowColdValues);
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}
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} |