QuanTAlib/lib/trends/trima/Trima.cs

using System;
using System.Buffers;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;

namespace QuanTAlib;

/// <summary>
/// TRIMA: Triangular Moving Average
/// </summary>
/// <remarks>
/// TRIMA applies triangular weighting to data points, emphasizing the middle of the window.
/// Equivalent to a double SMA: SMA(SMA(period1), period2).
///
/// Calculation:
/// p1 = (period + 1) / 2
/// p2 = period / 2 + 1
/// TRIMA = SMA(SMA(input, p1), p2)
///
/// O(1) update:
/// Uses two SMA instances, each with O(1) update complexity.
///
/// IsHot:
/// Becomes true when both internal SMAs are hot.
/// </remarks>
[SkipLocalsInit]
public sealed class Trima : AbstractBase
{
    private readonly int _period;
    private readonly Sma _sma1;
    private readonly Sma _sma2;

    public Trima(int period)
    {
        if (period <= 0) throw new ArgumentException("Period must be greater than 0", nameof(period));

        _period = period;
        int p1 = (period + 1) / 2;
        int p2 = period / 2 + 1;

        _sma1 = new Sma(p1);
        _sma2 = new Sma(p2);

        Name = $"Trima({period})";
        WarmupPeriod = p1 + p2 - 1;
    }

    public Trima(ITValuePublisher source, int period) : this(period)
    {
        source.Pub += (item) => Update(item);
    }

    public override bool IsHot => _sma1.IsHot && _sma2.IsHot;

    [MethodImpl(MethodImplOptions.AggressiveInlining)]
    public override TValue Update(TValue input, bool isNew = true)
    {
        TValue v1 = _sma1.Update(input, isNew);
        TValue v2 = _sma2.Update(v1, isNew);

        Last = v2;
        PubEvent(Last);
        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);

        Batch(source.Values, vSpan, _period);
        source.Times.CopyTo(tSpan);

        Prime(source.Values);

        Last = new TValue(tSpan[len - 1], vSpan[len - 1]);
        return new TSeries(t, v);
    }

    public override void Prime(ReadOnlySpan<double> source)
    {
        _sma1.Reset();
        _sma2.Reset();

        _sma1.Prime(source);

        // Calculate intermediate SMA series to prime the second SMA
        int p1 = (_period + 1) / 2;
        double[] tempArray = ArrayPool<double>.Shared.Rent(source.Length);
        Span<double> tempSpan = tempArray.AsSpan(0, source.Length);

        try
        {
            Sma.Batch(source, tempSpan, p1);
            _sma2.Prime(tempSpan);
        }
        finally
        {
            ArrayPool<double>.Shared.Return(tempArray);
        }
    }

    public override void Reset()
    {
        _sma1.Reset();
        _sma2.Reset();
        Last = default;
    }

    public static TSeries Batch(TSeries source, int period)
    {
        var trima = new Trima(period);
        return trima.Update(source);
    }

    public static void Batch(ReadOnlySpan<double> source, Span<double> output, int period)
    {
        if (source.Length != output.Length)
            throw new ArgumentException("Source and output must have the same length");
        if (period <= 0)
            throw new ArgumentException("Period must be greater than 0", nameof(period));

        int p1 = (period + 1) / 2;
        int p2 = period / 2 + 1;

        double[] tempArray = ArrayPool<double>.Shared.Rent(source.Length);
        Span<double> tempSpan = tempArray.AsSpan(0, source.Length);

        try
        {
            Sma.Batch(source, tempSpan, p1);
            Sma.Batch(tempSpan, output, p2);
        }
        finally
        {
            ArrayPool<double>.Shared.Return(tempArray);
        }
    }
}