Files
QuanTAlib/lib/trends/hma/Hma.cs
T
Miha Kralj d7dbd7078a Refactor event handling and improve argument validation across indicators
- Updated event handler signatures to use TValueEventArgs for consistency in Mama, Mgdi, Pwma, Rma, Sma, Ssf, Super, T3, Tema, Trima, Usf, Vidya, Wma, and Atr classes.
- Enhanced argument validation by specifying parameter names in exceptions for clarity.
- Adjusted tests to align with new event handler signatures.
- Improved code readability and maintainability by using structured records and lambda expressions.
2025-12-27 15:46:28 -08:00

252 lines
8.8 KiB
C#

using System;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
using System.Runtime.Intrinsics;
using System.Runtime.Intrinsics.Arm;
using System.Runtime.Intrinsics.X86;
namespace QuanTAlib;
/// <summary>
/// HMA: Hull Moving Average
/// </summary>
/// <remarks>
/// HMA reduces lag by using a combination of weighted moving averages.
///
/// Calculation:
/// HMA = WMA(sqrt(n), 2 * WMA(n/2, price) - WMA(n, price))
///
/// Sources:
/// https://alan.hull.com.au/hma.html
/// </remarks>
[SkipLocalsInit]
public sealed class Hma : AbstractBase
{
private readonly int _period;
private readonly int _sqrtPeriod;
private readonly Wma _wmaFull;
private readonly Wma _wmaHalf;
private readonly Wma _wmaSqrt;
private readonly TValuePublishedHandler _handler;
private int _sampleCount;
public override bool IsHot => _sampleCount >= WarmupPeriod;
public Hma(int period)
{
if (period <= 1) throw new ArgumentException("Period must be greater than 1", nameof(period));
_period = period;
int halfPeriod = period / 2;
_sqrtPeriod = (int)Math.Sqrt(period);
_wmaFull = new Wma(period);
_wmaHalf = new Wma(halfPeriod);
_wmaSqrt = new Wma(_sqrtPeriod);
_handler = Handle;
Name = $"Hma({period})";
WarmupPeriod = period + _sqrtPeriod - 1; // WMA needs period, then WMA(sqrt) needs sqrt_period. Total lag/warmup.
}
public Hma(ITValuePublisher source, int period) : this(period)
{
source.Pub += _handler;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override TValue Update(TValue input, bool isNew = true)
{
if (isNew) _sampleCount++;
// 1. Calculate WMA(n)
TValue full = _wmaFull.Update(input, isNew);
// 2. Calculate WMA(n/2)
TValue half = _wmaHalf.Update(input, isNew);
// 3. Calculate intermediate: 2 * WMA(n/2) - WMA(n)
double intermediate = (2.0 * half.Value) - full.Value;
// 4. Calculate HMA = WMA(sqrt(n), intermediate)
Last = _wmaSqrt.Update(new TValue(input.Time, intermediate), 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);
Calculate(source.Values, vSpan, _period);
source.Times.CopyTo(tSpan);
// Restore state for streaming
Reset();
// We need to replay enough history to get the state right.
// HMA depends on 3 WMAs.
// WMA state depends on the last 'period' values.
// So we need to replay at least _period + _sqrtPeriod + buffer.
int lookback = _period + _sqrtPeriod + 10;
int startIndex = Math.Max(0, len - lookback);
// We can't easily set _sampleCount without replaying, or we assume it's just count.
// But WMA internal state needs to be restored.
// Since WMA doesn't expose Prime/State easily (unless we cast and check), replaying is safer.
for (int i = startIndex; i < len; i++)
{
Update(new TValue(source.Times[i], source.Values[i]));
}
// Adjust sample count to reflect actual total samples processed
_sampleCount = len;
Last = new TValue(tSpan[len - 1], vSpan[len - 1]);
return new TSeries(t, v);
}
private void Handle(object? sender, TValueEventArgs args)
{
Update(args.Value, args.IsNew);
}
public override void Prime(ReadOnlySpan<double> source)
{
foreach (var value in source)
{
Update(new TValue(DateTime.MinValue, value));
}
}
public static TSeries Batch(TSeries source, int period)
{
int len = source.Count;
var t = new List<long>(len);
var v = new List<double>(len);
CollectionsMarshal.SetCount(t, len);
CollectionsMarshal.SetCount(v, len);
Calculate(source.Values, CollectionsMarshal.AsSpan(v), period);
source.Times.CopyTo(CollectionsMarshal.AsSpan(t));
return new TSeries(t, v);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static void Calculate(ReadOnlySpan<double> source, Span<double> output, int period)
{
if (source.Length != output.Length)
throw new ArgumentException("Source and output must have the same length", nameof(output));
if (period <= 1)
throw new ArgumentException("Period must be greater than 1", nameof(period));
int len = source.Length;
if (len == 0) return;
int halfPeriod = period / 2;
int sqrtPeriod = (int)Math.Sqrt(period);
double[] rentedFull = System.Buffers.ArrayPool<double>.Shared.Rent(len);
Span<double> fullWma = rentedFull.AsSpan(0, len);
double[] rentedHalf = System.Buffers.ArrayPool<double>.Shared.Rent(len);
Span<double> halfWma = rentedHalf.AsSpan(0, len);
// Reuse halfWma buffer for intermediate results to save memory/allocations
// But we need halfWma values for the calculation.
// Wait, CalculateIntermediate reads halfWma and fullWma and writes to output.
// So we can write to 'halfWma' IF we don't need 'halfWma' anymore.
// CalculateIntermediate iterates. If we write to halfWma in place, we overwrite values we might need if we were doing something else.
// But here: output[i] = 2*half[i] - full[i].
// This is element-wise. So we CAN overwrite half[i] with the result if we process carefully or if we don't need half[i] later.
// We don't need half[i] later.
// So we can use halfWma as the intermediate buffer.
Span<double> intermediate = halfWma;
try
{
Wma.Batch(source, fullWma, period);
Wma.Batch(source, halfWma, halfPeriod);
CalculateIntermediate(halfWma, fullWma, intermediate);
Wma.Batch(intermediate, output, sqrtPeriod);
}
finally
{
System.Buffers.ArrayPool<double>.Shared.Return(rentedFull);
System.Buffers.ArrayPool<double>.Shared.Return(rentedHalf);
}
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static void CalculateIntermediate(ReadOnlySpan<double> halfWma, ReadOnlySpan<double> fullWma, Span<double> output)
{
int len = halfWma.Length;
int i = 0;
ref double halfRef = ref MemoryMarshal.GetReference(halfWma);
ref double fullRef = ref MemoryMarshal.GetReference(fullWma);
ref double outRef = ref MemoryMarshal.GetReference(output);
if (Avx512F.IsSupported && len >= Vector512<double>.Count)
{
var vTwo = Vector512.Create(2.0);
for (; i <= len - Vector512<double>.Count; i += Vector512<double>.Count)
{
var vHalf = Vector512.LoadUnsafe(ref Unsafe.Add(ref halfRef, i));
var vFull = Vector512.LoadUnsafe(ref Unsafe.Add(ref fullRef, i));
var vResult = Avx512F.Subtract(Avx512F.Multiply(vHalf, vTwo), vFull);
Vector512.StoreUnsafe(vResult, ref Unsafe.Add(ref outRef, i));
}
}
else if (Avx2.IsSupported && len >= Vector256<double>.Count)
{
var vTwo = Vector256.Create(2.0);
for (; i <= len - Vector256<double>.Count; i += Vector256<double>.Count)
{
var vHalf = Vector256.LoadUnsafe(ref Unsafe.Add(ref halfRef, i));
var vFull = Vector256.LoadUnsafe(ref Unsafe.Add(ref fullRef, i));
var vResult = Avx.Subtract(Avx.Multiply(vHalf, vTwo), vFull);
Vector256.StoreUnsafe(vResult, ref Unsafe.Add(ref outRef, i));
}
}
else if (AdvSimd.Arm64.IsSupported && len >= Vector128<double>.Count)
{
var vTwo = Vector128.Create(2.0);
for (; i <= len - Vector128<double>.Count; i += Vector128<double>.Count)
{
var vHalf = Vector128.LoadUnsafe(ref Unsafe.Add(ref halfRef, i));
var vFull = Vector128.LoadUnsafe(ref Unsafe.Add(ref fullRef, i));
var vResult = AdvSimd.Arm64.Subtract(AdvSimd.Arm64.Multiply(vHalf, vTwo), vFull);
Vector128.StoreUnsafe(vResult, ref Unsafe.Add(ref outRef, i));
}
}
for (; i < len; i++)
{
output[i] = (2.0 * halfWma[i]) - fullWma[i];
}
}
public override void Reset()
{
_wmaFull.Reset();
_wmaHalf.Reset();
_wmaSqrt.Reset();
_sampleCount = 0;
Last = default;
}
}