using System.Buffers;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
///
/// NYQMA: Nyquist Moving Average
///
///
/// Dr. Manfred G. Dürschner's lag-compensated filter applying the Nyquist-Shannon
/// sampling theorem to cascaded LWMAs. A single-smoothed LWMA and a double-smoothed
/// LWMA are combined via extrapolation to cancel lag while preventing aliasing.
///
/// Calculation: NYQMA = (1 + α) × MA1 − α × MA2 where α = N2 / (N1 − N2).
/// MA1 = WMA(src, N1), MA2 = WMA(MA1, N2).
/// Nyquist constraint: N2 ≤ floor(N1/2).
/// O(1) per bar via composed Wma instances.
///
/// Detailed documentation
/// Reference Pine Script implementation
[SkipLocalsInit]
public sealed class Nyqma : AbstractBase
{
private readonly int _period;
private readonly int _nyquistPeriod;
private readonly double _alpha;
private readonly Wma _wma1;
private readonly Wma _wma2;
private readonly ITValuePublisher? _source;
private readonly TValuePublishedHandler? _handler;
private bool _disposed;
private int _sampleCount;
public override bool IsHot => _sampleCount >= WarmupPeriod;
///
/// Creates NYQMA with specified periods.
///
/// Primary LWMA period N1 (must be ≥ 3, default: 89)
/// Secondary LWMA period N2 (clamped to ≤ floor(N1/2), default: 21)
public Nyqma(int period = 89, int nyquistPeriod = 21)
{
if (period < 3)
{
throw new ArgumentException("Period must be at least 3", nameof(period));
}
_period = period;
_nyquistPeriod = Math.Clamp(nyquistPeriod, 1, period / 2);
_alpha = (double)_nyquistPeriod / (_period - _nyquistPeriod);
_wma1 = new Wma(_period);
_wma2 = new Wma(_nyquistPeriod);
Name = $"Nyqma({_period},{_nyquistPeriod})";
WarmupPeriod = _period + _nyquistPeriod - 1;
}
///
/// Creates NYQMA subscribed to a source publisher.
///
public Nyqma(ITValuePublisher source, int period = 89, int nyquistPeriod = 21) : this(period, nyquistPeriod)
{
_source = source;
_handler = Handle;
source.Pub += _handler;
}
protected override void Dispose(bool disposing)
{
if (!_disposed)
{
if (disposing && _source != null && _handler != null)
{
_source.Pub -= _handler;
}
_disposed = true;
}
base.Dispose(disposing);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override TValue Update(TValue input, bool isNew = true)
{
if (isNew)
{
_sampleCount++;
}
TValue wma1Result = _wma1.Update(input, isNew);
TValue wma2Result = _wma2.Update(wma1Result, isNew);
double w1 = wma1Result.Value;
double w2 = wma2Result.Value;
// NYQMA = (1 + α) × MA1 − α × MA2
double nyqma = Math.FusedMultiplyAdd(1.0 + _alpha, w1, -_alpha * w2);
Last = new TValue(input.Time, nyqma);
PubEvent(Last, isNew);
return Last;
}
public override TSeries Update(TSeries source)
{
if (source.Count == 0)
{
return [];
}
int len = source.Count;
var t = new List(len);
var v = new List(len);
CollectionsMarshal.SetCount(t, len);
CollectionsMarshal.SetCount(v, len);
var tSpan = CollectionsMarshal.AsSpan(t);
var vSpan = CollectionsMarshal.AsSpan(v);
source.Times.CopyTo(tSpan);
Batch(source.Values, vSpan, _period, _nyquistPeriod);
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 source, TimeSpan? step = null)
{
Reset();
foreach (var value in source)
{
Update(new TValue(DateTime.MinValue, value));
}
}
public static TSeries Batch(TSeries source, int period, int nyquistPeriod)
{
var nyqma = new Nyqma(period, nyquistPeriod);
return nyqma.Update(source);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static void Batch(ReadOnlySpan source, Span output, int period, int nyquistPeriod)
{
if (period < 3)
{
throw new ArgumentException("Period must be at least 3", 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;
}
int n2 = Math.Clamp(nyquistPeriod, 1, period / 2);
double alpha = (double)n2 / (period - n2);
double[]? wma1Array = len > 1024 ? ArrayPool.Shared.Rent(len) : null;
Span wma1 = len <= 1024
? stackalloc double[len]
: wma1Array!.AsSpan(0, len);
double[]? wma2Array = len > 1024 ? ArrayPool.Shared.Rent(len) : null;
Span wma2 = len <= 1024
? stackalloc double[len]
: wma2Array!.AsSpan(0, len);
try
{
Wma.Batch(source, wma1, period);
Wma.Batch(wma1, wma2, n2);
// NYQMA = (1 + α) × MA1 − α × MA2
double onePlusAlpha = 1.0 + alpha;
for (int i = 0; i < len; i++)
{
output[i] = Math.FusedMultiplyAdd(onePlusAlpha, wma1[i], -alpha * wma2[i]);
}
}
finally
{
if (wma1Array != null)
{
ArrayPool.Shared.Return(wma1Array);
}
if (wma2Array != null)
{
ArrayPool.Shared.Return(wma2Array);
}
}
}
public static (TSeries Results, Nyqma Indicator) Calculate(TSeries source, int period, int nyquistPeriod)
{
var indicator = new Nyqma(period, nyquistPeriod);
TSeries results = indicator.Update(source);
return (results, indicator);
}
public override void Reset()
{
_wma1.Reset();
_wma2.Reset();
_sampleCount = 0;
Last = default;
}
}