Files
QuanTAlib/lib/trends_FIR/dwma/Dwma.cs
T
86fe32a682 SIMD Refactor: Merge simd-dev into dev (#55)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
Co-authored-by: Warp <agent@warp.dev>
2026-01-18 19:02:03 -08:00

158 lines
4.3 KiB
C#

using System.Buffers;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// DWMA: Double Weighted Moving Average
/// </summary>
/// <remarks>
/// DWMA applies a Weighted Moving Average (WMA) twice.
/// It provides a smoother curve than a standard WMA but with slightly more lag.
///
/// Formula:
/// DWMA = WMA(WMA(source, period), period)
/// </remarks>
[SkipLocalsInit]
public sealed class Dwma : AbstractBase
{
private readonly int _period;
private readonly Wma _wma1;
private readonly Wma _wma2;
private readonly ITValuePublisher? _source;
private readonly TValuePublishedHandler? _handler;
private int _sampleCount;
public override bool IsHot => _sampleCount >= WarmupPeriod;
/// <summary>
/// Creates DWMA with specified period.
/// </summary>
/// <param name="period">Window size (must be > 0)</param>
public Dwma(int period)
{
if (period <= 0)
throw new ArgumentException("Period must be greater than 0", nameof(period));
_period = period;
_wma1 = new Wma(period);
_wma2 = new Wma(period);
Name = $"Dwma({period})";
WarmupPeriod = (period * 2) - 1;
}
public Dwma(ITValuePublisher source, int period) : this(period)
{
_source = source;
_handler = Handle;
source.Pub += _handler;
}
protected override void Dispose(bool disposing)
{
if (disposing && _source != null && _handler != null)
{
_source.Pub -= _handler;
}
base.Dispose(disposing);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override TValue Update(TValue input, bool isNew = true)
{
if (isNew) _sampleCount++;
TValue wma1Result = _wma1.Update(input, isNew);
Last = _wma2.Update(wma1Result, isNew);
PubEvent(Last, isNew);
return Last;
}
public override TSeries Update(TSeries source)
{
if (source.Count == 0) return [];
int len = source.Count;
var t = new List<long>(len);
var v = new List<double>(len);
CollectionsMarshal.SetCount(t, len);
CollectionsMarshal.SetCount(v, len);
var tSpan = CollectionsMarshal.AsSpan(t);
var vSpan = CollectionsMarshal.AsSpan(v);
source.Times.CopyTo(tSpan);
Calculate(source.Values, vSpan, _period);
Reset();
int lookback = WarmupPeriod + 10;
int startIndex = Math.Max(0, len - lookback);
for (int i = startIndex; i < len; i++)
{
Update(new TValue(source.Times[i], source.Values[i]));
}
_sampleCount = len;
Last = new TValue(tSpan[len - 1], vSpan[len - 1]);
return new TSeries(t, v);
}
private void Handle(object? sender, in TValueEventArgs args)
{
Update(args.Value, args.IsNew);
}
public override void Prime(ReadOnlySpan<double> source, TimeSpan? step = null)
{
Reset();
foreach (var value in source)
{
Update(new TValue(DateTime.MinValue, value));
}
}
public static TSeries Batch(TSeries source, int period)
{
var dwma = new Dwma(period);
return dwma.Update(source);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static void Calculate(ReadOnlySpan<double> source, Span<double> output, int period)
{
if (period <= 0)
throw new ArgumentException("Period must be greater than 0", nameof(period));
if (source.Length != output.Length)
throw new ArgumentException("Source and output must have the same length", nameof(output));
int len = source.Length;
if (len == 0) return;
double[]? tempArray = len > 1024 ? ArrayPool<double>.Shared.Rent(len) : null;
Span<double> temp = len <= 1024
? stackalloc double[len]
: tempArray!.AsSpan(0, len);
try
{
Wma.Batch(source, temp, period);
Wma.Batch(temp, output, period);
}
finally
{
if (tempArray != null) ArrayPool<double>.Shared.Return(tempArray);
}
}
public override void Reset()
{
_wma1.Reset();
_wma2.Reset();
_sampleCount = 0;
Last = default;
}
}