mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-28 01:37:43 +00:00
67ad6f0cba
Comprehensive refactor across all indicators replacing the periodic ResyncInterval-based drift correction (every 1000 ticks recalculate from scratch) with Kahan compensated summation for running sums. Key changes: - Remove ResyncInterval constants and TickCount fields from all State records - Add Kahan compensation fields (SumComp, SumSqComp, etc.) to State records - Replace naive sum += val - removed with Kahan delta pattern - Remove Resync()/RecalculateSum() methods that did O(N) recalculation - Update batch/SIMD paths to use Kahan compensation instead of resync loops - IIR filters (EMA, REMA, RGMA) simplified: inherently self-correcting - Version bump to 0.8.7 - Build system: README version stamping via Directory.Build.props - Minor doc/test tolerance adjustments for new numerical characteristics Affected modules: channels, core, cycles, dynamics, errors, momentum, oscillators, statistics, trends_FIR, trends_IIR, volatility, volume
439 lines
13 KiB
C#
439 lines
13 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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/// VHF: Vertical Horizontal Filter
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/// Measures trend strength by computing the ratio of max-min range (vertical)
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/// to the sum of absolute bar-to-bar changes (horizontal path).
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/// </summary>
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/// <remarks>
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/// <b>Calculation steps:</b>
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/// <list type="number">
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/// <item>Numerator = Highest(close, N+1) - Lowest(close, N+1)</item>
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/// <item>Denominator = Sum(|close[i] - close[i-1]|, i=1..N)</item>
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/// <item>VHF = Numerator / Denominator</item>
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/// </list>
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///
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/// <b>Sources:</b>
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/// Adam White, "Vertical Horizontal Filter", Futures magazine, August 1991
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/// </remarks>
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/// <seealso href="Vhf.md">Detailed documentation</seealso>
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[SkipLocalsInit]
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public sealed class Vhf : AbstractBase
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{
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private readonly int _period;
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private readonly RingBuffer _closeBuffer; // period+1 close values for max/min
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private readonly RingBuffer _diffBuffer; // period absolute differences for running sum
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[StructLayout(LayoutKind.Auto)]
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private record struct State(
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double DiffSum,
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double DiffSumComp,
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double PrevClose,
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double LastValidValue,
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bool HasPrevClose
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);
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private State _s;
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private State _ps;
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/// <summary>
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/// Creates VHF with specified lookback period.
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/// </summary>
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/// <param name="period">Lookback period (must be > 1, default 28)</param>
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public Vhf(int period = 28)
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{
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if (period <= 1)
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{
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throw new ArgumentException("Period must be greater than 1", nameof(period));
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}
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_period = period;
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_closeBuffer = new RingBuffer(period + 1); // need period+1 closes for range
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_diffBuffer = new RingBuffer(period); // period absolute differences
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Name = $"Vhf({period})";
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WarmupPeriod = period + 1;
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_s = default;
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_ps = _s;
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}
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/// <summary>
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/// Creates VHF with specified source and period.
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/// </summary>
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public Vhf(ITValuePublisher source, int period = 28) : this(period)
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{
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source.Pub += Handle;
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}
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private void Handle(object? sender, in TValueEventArgs e) => Update(e.Value, e.IsNew);
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/// <summary>
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/// True when close buffer has period+1 values (enough for full VHF calculation).
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/// </summary>
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public override bool IsHot => _closeBuffer.IsFull;
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/// <summary>
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/// Updates the indicator with a single TValue input.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public override TValue Update(TValue input, bool isNew = true)
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{
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if (isNew)
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{
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_ps = _s;
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}
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else
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{
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_s = _ps;
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_closeBuffer.UpdateNewest(_closeBuffer.Newest);
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_diffBuffer.UpdateNewest(_diffBuffer.Newest);
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}
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var s = _s;
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// NaN/Infinity handling: last-valid substitution
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double val = input.Value;
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if (double.IsFinite(val))
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{
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s.LastValidValue = val;
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}
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else
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{
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val = s.LastValidValue;
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}
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if (isNew)
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{
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// Compute absolute change from previous close
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double absDiff = 0;
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if (s.HasPrevClose)
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{
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absDiff = Math.Abs(val - s.PrevClose);
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}
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// Update diff buffer running sum — Kahan compensated
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if (s.HasPrevClose)
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{
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double diffRemoved = _diffBuffer.Count == _diffBuffer.Capacity ? _diffBuffer.Oldest : 0.0;
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double delta = absDiff - diffRemoved - s.DiffSumComp;
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double newSum = s.DiffSum + delta;
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s.DiffSumComp = (newSum - s.DiffSum) - delta;
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s.DiffSum = newSum;
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_diffBuffer.Add(absDiff);
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}
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// Add close to buffer
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_closeBuffer.Add(val);
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s.PrevClose = val;
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s.HasPrevClose = true;
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}
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else
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{
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// Bar correction: update newest close value
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_closeBuffer.UpdateNewest(val);
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// Recompute the newest absolute difference
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if (s.HasPrevClose && _diffBuffer.Count > 0)
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{
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// PrevClose in _ps is the close before the current bar
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double prevCloseForDiff = _ps.PrevClose;
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double newAbsDiff = Math.Abs(val - prevCloseForDiff);
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_diffBuffer.UpdateNewest(newAbsDiff);
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s.DiffSum = _diffBuffer.Sum;
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s.DiffSumComp = 0;
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}
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}
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// Calculate VHF
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double result;
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if (_closeBuffer.IsFull && _diffBuffer.IsFull)
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{
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double highest = _closeBuffer.Max();
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double lowest = _closeBuffer.Min();
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double numerator = highest - lowest;
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double denominator = s.DiffSum;
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// Division-by-zero guard (flat price = all changes zero)
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if (denominator > 1e-10)
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{
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result = numerator / denominator;
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}
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else
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{
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result = 0.0;
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}
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}
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else
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{
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result = 0.0;
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}
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_s = s;
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Last = new TValue(input.Time, result);
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PubEvent(Last, isNew);
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return Last;
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}
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public override TSeries Update(TSeries source)
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{
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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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int len = source.Count;
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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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// Prime internal state by replaying last WarmupPeriod bars
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Prime(source.Values);
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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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public override void Prime(ReadOnlySpan<double> source, TimeSpan? step = null)
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{
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if (source.Length == 0)
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{
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return;
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}
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_closeBuffer.Clear();
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_diffBuffer.Clear();
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_s = default;
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_ps = default;
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int warmupLength = Math.Min(source.Length, WarmupPeriod);
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int startIndex = source.Length - warmupLength;
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// Seed LastValidValue
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_s.LastValidValue = 0;
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for (int i = startIndex - 1; i >= 0; i--)
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{
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if (double.IsFinite(source[i]))
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{
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_s.LastValidValue = source[i];
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break;
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}
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}
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if (_s.LastValidValue == 0)
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{
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for (int i = startIndex; i < source.Length; i++)
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{
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if (double.IsFinite(source[i]))
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{
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_s.LastValidValue = source[i];
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break;
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}
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}
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}
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for (int i = startIndex; i < source.Length; i++)
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{
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Update(new TValue(DateTime.MinValue, source[i]), isNew: true);
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}
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_ps = _s;
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}
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/// <summary>
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/// Calculates VHF for the entire series using a new instance.
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/// </summary>
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public static TSeries Batch(TSeries source, int period = 28)
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{
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var vhf = new Vhf(period);
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return vhf.Update(source);
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}
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/// <summary>
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/// Span-based batch calculation for close price arrays.
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/// Zero-allocation method for maximum performance.
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/// </summary>
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/// <param name="source">Close prices.</param>
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/// <param name="output">Output VHF values.</param>
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/// <param name="period">Lookback period.</param>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Batch(ReadOnlySpan<double> source, Span<double> output, int period = 28)
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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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if (period <= 1)
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{
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throw new ArgumentException("Period must be greater than 1", nameof(period));
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}
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int len = source.Length;
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if (len == 0)
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{
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return;
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}
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CalculateScalarCore(source, output, period);
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}
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/// <summary>
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/// Calculates VHF and returns both results and the indicator instance.
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/// </summary>
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public static (TSeries Results, Vhf Indicator) Calculate(TSeries source, int period = 28)
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{
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var indicator = new Vhf(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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// ---- Private implementation ----
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static void CalculateScalarCore(ReadOnlySpan<double> source, Span<double> output, int period)
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{
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int len = source.Length;
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int closeBufSize = period + 1;
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const int StackAllocThreshold = 256;
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// Close buffer (period+1)
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double[]? rentedClose = closeBufSize > StackAllocThreshold ? ArrayPool<double>.Shared.Rent(closeBufSize) : null;
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Span<double> closeBuf = rentedClose != null
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? rentedClose.AsSpan(0, closeBufSize)
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: stackalloc double[closeBufSize];
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// Diff buffer (period)
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double[]? rentedDiff = period > StackAllocThreshold ? ArrayPool<double>.Shared.Rent(period) : null;
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Span<double> diffBuf = rentedDiff != null
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? rentedDiff.AsSpan(0, period)
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: stackalloc double[period];
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try
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{
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double diffSum = 0;
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double diffSumComp = 0;
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double lastValid = 0;
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double prevClose = 0;
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bool hasPrevClose = false;
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int closeIdx = 0;
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int closeFilled = 0;
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int diffIdx = 0;
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int diffFilled = 0;
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// Find first valid value to seed lastValid
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for (int k = 0; k < len; k++)
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{
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if (double.IsFinite(source[k]))
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{
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lastValid = source[k];
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break;
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}
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}
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for (int i = 0; i < len; i++)
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{
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double val = source[i];
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if (double.IsFinite(val))
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{
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lastValid = val;
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}
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else
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{
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val = lastValid;
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}
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// Compute absolute change
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if (hasPrevClose)
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{
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double absDiff = Math.Abs(val - prevClose);
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// Kahan-compensated update for diff buffer
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{
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double deltaD = absDiff - (diffFilled >= period ? diffBuf[diffIdx] : 0);
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double yD = deltaD - diffSumComp;
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double tD = diffSum + yD;
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diffSumComp = (tD - diffSum) - yD;
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diffSum = tD;
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}
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diffBuf[diffIdx] = absDiff;
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if (diffFilled < period)
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{
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diffFilled++;
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}
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diffIdx++;
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if (diffIdx >= period)
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{
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diffIdx = 0;
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}
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}
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// Update close buffer
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closeBuf[closeIdx] = val;
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if (closeFilled < closeBufSize)
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{
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closeFilled++;
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}
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closeIdx++;
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if (closeIdx >= closeBufSize)
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{
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closeIdx = 0;
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}
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prevClose = val;
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hasPrevClose = true;
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// Calculate VHF
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if (closeFilled >= closeBufSize && diffFilled >= period)
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{
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var (lo, hi) = ((ReadOnlySpan<double>)closeBuf).MinMaxSIMD();
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double numerator = hi - lo;
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if (diffSum > 1e-10)
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{
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output[i] = numerator / diffSum;
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}
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else
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{
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output[i] = 0.0;
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}
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}
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else
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{
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output[i] = 0.0;
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}
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}
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}
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finally
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{
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if (rentedClose != null)
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{
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ArrayPool<double>.Shared.Return(rentedClose);
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}
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if (rentedDiff != null)
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{
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ArrayPool<double>.Shared.Return(rentedDiff);
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}
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public override void Reset()
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{
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_closeBuffer.Clear();
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_diffBuffer.Clear();
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_s = new State(0, 0, 0, 0, false);
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_ps = _s;
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Last = default;
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}
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}
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