mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-08 22:17:44 +00:00
188 lines
4.9 KiB
C#
188 lines
4.9 KiB
C#
using System.Buffers;
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using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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namespace QuanTAlib;
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/// <summary>
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/// DWMA: Double Weighted Moving Average
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/// </summary>
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/// <remarks>
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/// Double-pass WMA for enhanced smoothing with slight additional lag.
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/// Triangular-like weighting via cascaded linear filters.
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///
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/// Calculation: <c>DWMA = WMA(WMA(source, n), n)</c>.
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/// </remarks>
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/// <seealso href="Dwma.md">Detailed documentation</seealso>
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[SkipLocalsInit]
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public sealed class Dwma : AbstractBase
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{
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private readonly int _period;
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private readonly Wma _wma1;
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private readonly Wma _wma2;
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private readonly ITValuePublisher? _source;
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private readonly TValuePublishedHandler? _handler;
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private bool _disposed;
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private int _sampleCount;
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public override bool IsHot => _sampleCount >= WarmupPeriod;
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/// <summary>
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/// Creates DWMA with specified period.
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/// </summary>
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/// <param name="period">Window size (must be > 0)</param>
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public Dwma(int period)
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{
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if (period <= 0)
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{
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throw new ArgumentException("Period must be greater than 0", nameof(period));
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}
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_period = period;
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_wma1 = new Wma(period);
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_wma2 = new Wma(period);
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Name = $"Dwma({period})";
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WarmupPeriod = (period * 2) - 1;
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}
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public Dwma(ITValuePublisher source, int period) : this(period)
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{
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_source = source;
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_handler = Handle;
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source.Pub += _handler;
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}
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protected override void Dispose(bool disposing)
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{
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if (!_disposed)
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{
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if (disposing && _source != null && _handler != null)
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{
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_source.Pub -= _handler;
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}
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_disposed = true;
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}
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base.Dispose(disposing);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public override TValue Update(TValue input, bool isNew = true)
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{
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if (isNew)
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{
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_sampleCount++;
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}
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TValue wma1Result = _wma1.Update(input, isNew);
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Last = _wma2.Update(wma1Result, isNew);
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PubEvent(Last, isNew);
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return Last;
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}
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public override TSeries Update(TSeries source)
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{
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if (source.Count == 0)
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{
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return [];
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}
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int len = source.Count;
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var t = new List<long>(len);
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var v = new List<double>(len);
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CollectionsMarshal.SetCount(t, len);
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CollectionsMarshal.SetCount(v, len);
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var tSpan = CollectionsMarshal.AsSpan(t);
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var vSpan = CollectionsMarshal.AsSpan(v);
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source.Times.CopyTo(tSpan);
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Batch(source.Values, vSpan, _period);
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Reset();
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int lookback = WarmupPeriod + 10;
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int startIndex = Math.Max(0, len - lookback);
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for (int i = startIndex; i < len; i++)
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{
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Update(new TValue(source.Times[i], source.Values[i]));
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}
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_sampleCount = len;
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Last = new TValue(tSpan[len - 1], vSpan[len - 1]);
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return new TSeries(t, v);
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}
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private void Handle(object? sender, in TValueEventArgs args)
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{
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Update(args.Value, args.IsNew);
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}
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public override void Prime(ReadOnlySpan<double> source, TimeSpan? step = null)
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{
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Reset();
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foreach (var value in source)
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{
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Update(new TValue(DateTime.MinValue, value));
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}
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}
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public static TSeries Batch(TSeries source, int period)
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{
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var dwma = new Dwma(period);
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return dwma.Update(source);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Batch(ReadOnlySpan<double> source, Span<double> output, int period)
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{
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if (period <= 0)
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{
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throw new ArgumentException("Period must be greater than 0", nameof(period));
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}
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if (source.Length != output.Length)
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{
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throw new ArgumentException("Source and output must have the same length", nameof(output));
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}
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int len = source.Length;
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if (len == 0)
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{
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return;
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}
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double[]? tempArray = len > 1024 ? ArrayPool<double>.Shared.Rent(len) : null;
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Span<double> temp = len <= 1024
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? stackalloc double[len]
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: tempArray!.AsSpan(0, len);
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try
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{
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Wma.Batch(source, temp, period);
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Wma.Batch(temp, output, period);
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}
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finally
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{
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if (tempArray != null)
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{
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ArrayPool<double>.Shared.Return(tempArray);
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}
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}
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}
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public static (TSeries Results, Dwma Indicator) Calculate(TSeries source, int period)
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{
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var indicator = new Dwma(period);
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TSeries results = indicator.Update(source);
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return (results, indicator);
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}
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public override void Reset()
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{
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_wma1.Reset();
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_wma2.Reset();
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_sampleCount = 0;
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Last = default;
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}
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} |