mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-18 18:48:05 +00:00
229 lines
6.4 KiB
C#
229 lines
6.4 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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/// VEL: Jurik Velocity
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/// </summary>
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/// <remarks>
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/// Momentum oscillator measuring smoothed rate of price change using differential weighting.
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/// Compares parabolic vs linear weight distributions for trend sensitivity.
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///
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/// Calculation: <c>VEL = PWMA(Period) - WMA(Period)</c>.
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/// </remarks>
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/// <seealso href="Vel.md">Detailed documentation</seealso>
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[SkipLocalsInit]
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public sealed class Vel : ITValuePublisher, IDisposable
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{
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private const int StackallocThreshold = 256;
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private readonly Pwma _pwma;
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private readonly Wma _wma;
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private readonly int _period;
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private readonly TValuePublishedHandler _handler;
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private readonly ITValuePublisher? _publisher;
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private bool _disposed;
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public string Name { get; }
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public TValue Last { get; private set; }
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public bool IsHot => _pwma.IsHot && _wma.IsHot;
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public int WarmupPeriod { get; }
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public event TValuePublishedHandler? Pub;
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public Vel(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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_pwma = new Pwma(period);
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_wma = new Wma(period);
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_period = period;
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WarmupPeriod = period;
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Name = $"Vel({period})";
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_handler = Handle;
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}
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public Vel(ITValuePublisher source, int period) : this(period)
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{
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_publisher = source;
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source.Pub += _handler;
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}
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/// <summary>
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/// Unsubscribes from the source publisher and releases resources.
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/// </summary>
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public void Dispose()
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{
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if (_disposed)
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{
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return;
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}
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_disposed = true;
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if (_publisher != null)
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{
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_publisher.Pub -= _handler;
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}
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GC.SuppressFinalize(this);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private void Handle(object? sender, in TValueEventArgs args) => Update(args.Value, args.IsNew);
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public TValue Update(TValue input, bool isNew = true)
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{
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var pwma = _pwma.Update(input, isNew);
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var wma = _wma.Update(input, isNew);
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Last = new TValue(input.Time, pwma.Value - wma.Value);
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Pub?.Invoke(this, new TValueEventArgs { Value = Last, IsNew = isNew });
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return Last;
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}
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public TSeries Update(TSeries source)
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{
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int len = source.Count;
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if (len == 0)
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{
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return [];
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}
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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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// Span-based batch calculation
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Batch(source.Values, vSpan, _period);
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source.Times.CopyTo(tSpan);
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// Restore streaming state by replaying the tail of the series
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Reset();
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int start = Math.Max(0, len - WarmupPeriod - 1);
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for (int i = start; i < len; i++)
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{
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Update(new TValue(source.Times[i], source.Values[i]), isNew: true);
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}
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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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/// <summary>
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/// Initializes the indicator state using the provided series history.
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/// </summary>
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/// <param name="source">Historical data.</param>
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public void Prime(TSeries source)
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{
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Reset();
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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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for (int i = 0; i < source.Count; i++)
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{
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Update(new TValue(new DateTime(source.Times[i], DateTimeKind.Utc), source.Values[i]), isNew: true);
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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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int len = source.Count;
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if (len == 0)
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{
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return [];
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}
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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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Batch(source.Values, vSpan, period);
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source.Times.CopyTo(tSpan);
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return new TSeries(t, v);
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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 (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 <= StackallocThreshold)
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{
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BatchStackalloc(source, output, period, len);
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}
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else
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{
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BatchPooled(source, output, period, len);
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}
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}
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public static (TSeries Results, Vel Indicator) Calculate(TSeries source, int period)
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{
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var indicator = new Vel(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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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static void BatchStackalloc(ReadOnlySpan<double> source, Span<double> output, int period, int len)
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{
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Span<double> pwma = stackalloc double[len];
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Span<double> wma = stackalloc double[len];
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Pwma.Batch(source, pwma, period);
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Wma.Batch(source, wma, period);
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SimdExtensions.Subtract(pwma, wma, output);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static void BatchPooled(ReadOnlySpan<double> source, Span<double> output, int period, int len)
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{
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double[] rentedPwma = ArrayPool<double>.Shared.Rent(len);
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double[] rentedWma = ArrayPool<double>.Shared.Rent(len);
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try
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{
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Span<double> pwma = rentedPwma.AsSpan(0, len);
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Span<double> wma = rentedWma.AsSpan(0, len);
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Pwma.Batch(source, pwma, period);
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Wma.Batch(source, wma, period);
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SimdExtensions.Subtract(pwma, wma, output);
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}
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finally
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{
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ArrayPool<double>.Shared.Return(rentedPwma);
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ArrayPool<double>.Shared.Return(rentedWma);
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public void Reset()
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{
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_pwma.Reset();
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_wma.Reset();
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Last = default;
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}
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} |