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Miha Kralj 951842acca Add validation tests for various volume and momentum indicators
- Introduced Massi validation tests to ensure mathematical properties hold for the Mass Index indicator.
- Added Va validation tests for Volume Accumulation, checking for finite outputs and correct accumulation behavior.
- Implemented Vf validation tests for Volume Force, verifying outputs for rising and falling prices, and ensuring batch and streaming results match.
- Created Vo validation tests for Volume Oscillator, confirming behavior with constant, increasing, and decreasing volumes.
- Developed Vroc validation tests for Volume Rate of Change, validating outputs for constant volume and changes in volume.
- Updated project file to include new momentum indicators (MACD and RSI) in the compilation.
2026-02-12 19:43:09 -08:00

434 lines
13 KiB
C#

// STOCHF: Stochastic Fast Oscillator
// Fast %K = 100 * (close - lowestLow) / (highestHigh - lowestLow)
// Fast %D = SMA(Fast %K, dPeriod)
using System.Buffers;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// STOCHF: Stochastic Fast Oscillator (%K and %D).
/// %K = 100 * (close - lowestLow) / (highestHigh - lowestLow).
/// %D = SMA(%K, dPeriod).
/// Unsmoothed variant of the Stochastic Oscillator — %K is raw (no additional smoothing).
/// Streaming path uses monotonic deques for O(1) amortized highest/lowest;
/// %D uses a circular buffer with running sum for O(1) SMA.
/// </summary>
[SkipLocalsInit]
public sealed class Stochf : ITValuePublisher
{
private const int DefaultKLength = 5;
private const int DefaultDPeriod = 3;
private readonly int _kLength;
private readonly int _dPeriod;
private readonly double[] _hBuf;
private readonly double[] _lBuf;
private readonly double[] _dBuf;
private readonly MonotonicDeque _maxDeque;
private readonly MonotonicDeque _minDeque;
private int _count;
private long _index;
[StructLayout(LayoutKind.Auto)]
private record struct State(
double DSum, int DHead, double PrevDVal,
double LastValidHigh, double LastValidLow, double LastValidClose);
private State _s;
private State _ps;
private readonly TBarPublishedHandler _barHandler;
public string Name { get; }
public int WarmupPeriod { get; }
public TValue Last { get; private set; }
public TValue K { get; private set; }
public TValue D { get; private set; }
public bool IsHot => _count >= _kLength;
public event TValuePublishedHandler? Pub;
public Stochf(int kLength = DefaultKLength, int dPeriod = DefaultDPeriod)
{
if (kLength <= 0)
{
throw new ArgumentException("K length must be greater than 0", nameof(kLength));
}
if (dPeriod <= 0)
{
throw new ArgumentException("D period must be greater than 0", nameof(dPeriod));
}
_kLength = kLength;
_dPeriod = dPeriod;
_hBuf = new double[_kLength];
_lBuf = new double[_kLength];
_dBuf = new double[_dPeriod];
_maxDeque = new MonotonicDeque(_kLength);
_minDeque = new MonotonicDeque(_kLength);
_count = 0;
_index = -1;
_s = new State(0.0, 0, 0.0, double.NaN, double.NaN, double.NaN);
_ps = _s;
Name = $"StochF({kLength},{dPeriod})";
WarmupPeriod = kLength;
_barHandler = HandleBar;
}
public Stochf(TBarSeries source, int kLength = DefaultKLength, int dPeriod = DefaultDPeriod)
: this(kLength, dPeriod)
{
Prime(source);
source.Pub += _barHandler;
}
private void HandleBar(object? sender, in TBarEventArgs e) => Update(e.Value, e.IsNew);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private void PubEvent(TValue value, bool isNew = true) =>
Pub?.Invoke(this, new TValueEventArgs { Value = value, IsNew = isNew });
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue Update(TBar input, bool isNew = true)
{
if (isNew)
{
_ps = _s;
_index++;
if (_count < _kLength)
{
_count++;
}
}
else
{
_s = _ps;
}
var s = _s;
// Validate inputs — substitute last-valid on NaN/Infinity
double high = input.High;
double low = input.Low;
double close = input.Close;
if (double.IsFinite(high)) { s.LastValidHigh = high; }
else { high = s.LastValidHigh; }
if (double.IsFinite(low)) { s.LastValidLow = low; }
else { low = s.LastValidLow; }
if (double.IsFinite(close)) { s.LastValidClose = close; }
else { close = s.LastValidClose; }
// If still no valid data, return NaN
if (double.IsNaN(high) || double.IsNaN(low) || double.IsNaN(close))
{
_s = s;
Last = new TValue(input.Time, double.NaN);
K = new TValue(input.Time, double.NaN);
D = new TValue(input.Time, double.NaN);
PubEvent(Last, isNew);
return Last;
}
int bufIdx = _index < 0 ? 0 : (int)(_index % _kLength);
_hBuf[bufIdx] = high;
_lBuf[bufIdx] = low;
if (isNew)
{
_maxDeque.PushMax(_index, high, _hBuf);
_minDeque.PushMin(_index, low, _lBuf);
}
else
{
_maxDeque.RebuildMax(_hBuf, _index, _count);
_minDeque.RebuildMin(_lBuf, _index, _count);
}
double highest = _maxDeque.GetExtremum(_hBuf);
double lowest = _minDeque.GetExtremum(_lBuf);
double range = highest - lowest;
double kVal = range > 0.0 ? 100.0 * (close - lowest) / range : 0.0;
// SMA of %K for %D using circular buffer + running sum
if (_index == 0)
{
// First bar: fill entire buffer with kVal
for (int i = 0; i < _dPeriod; i++)
{
_dBuf[i] = kVal;
}
s.DSum = kVal * _dPeriod;
s.DHead = 0;
s.PrevDVal = kVal;
}
else
{
int dIdx = s.DHead;
s.PrevDVal = _dBuf[dIdx];
s.DSum = s.DSum - s.PrevDVal + kVal;
_dBuf[dIdx] = kVal;
if (isNew)
{
s.DHead = (dIdx + 1) % _dPeriod;
}
}
double dVal = s.DSum / _dPeriod;
_s = s;
K = new TValue(input.Time, kVal);
D = new TValue(input.Time, dVal);
Last = new TValue(input.Time, kVal);
PubEvent(Last, isNew);
return Last;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue Update(TValue input, bool isNew = true) =>
Update(new TBar(input.Time, input.Value, input.Value, input.Value, input.Value, 0), isNew);
public (TSeries K, TSeries D) Update(TBarSeries source)
{
if (source.Count == 0)
{
return (new TSeries([], []), new TSeries([], []));
}
int len = source.Count;
var tK = new List<long>(len);
var vK = new List<double>(len);
var tD = new List<long>(len);
var vD = new List<double>(len);
CollectionsMarshal.SetCount(tK, len);
CollectionsMarshal.SetCount(vK, len);
CollectionsMarshal.SetCount(tD, len);
CollectionsMarshal.SetCount(vD, len);
var vKSpan = CollectionsMarshal.AsSpan(vK);
var vDSpan = CollectionsMarshal.AsSpan(vD);
Batch(source.HighValues, source.LowValues, source.CloseValues,
vKSpan, vDSpan, _kLength, _dPeriod);
var tSpan = CollectionsMarshal.AsSpan(tK);
source.Times.CopyTo(tSpan);
tSpan.CopyTo(CollectionsMarshal.AsSpan(tD));
// Prime internal state for continued streaming
Prime(source);
var lastTime = new DateTime(source.Times[^1], DateTimeKind.Utc);
K = new TValue(lastTime, vKSpan[^1]);
D = new TValue(lastTime, vDSpan[^1]);
Last = new TValue(lastTime, vKSpan[^1]);
return (new TSeries(tK, vK), new TSeries(tD, vD));
}
public void Prime(TBarSeries source)
{
Reset();
if (source.Count == 0)
{
return;
}
for (int i = 0; i < source.Count; i++)
{
Update(source[i], isNew: true);
}
}
public void Reset()
{
Array.Clear(_hBuf);
Array.Clear(_lBuf);
Array.Clear(_dBuf);
_maxDeque.Reset();
_minDeque.Reset();
_count = 0;
_index = -1;
_s = new State(0.0, 0, 0.0, double.NaN, double.NaN, double.NaN);
_ps = _s;
Last = default;
K = default;
D = default;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static void Batch(
ReadOnlySpan<double> high,
ReadOnlySpan<double> low,
ReadOnlySpan<double> close,
Span<double> kOut,
Span<double> dOut,
int kLength,
int dPeriod = DefaultDPeriod)
{
if (kLength <= 0)
{
throw new ArgumentException("K length must be greater than 0", nameof(kLength));
}
if (dPeriod <= 0)
{
throw new ArgumentException("D period must be greater than 0", nameof(dPeriod));
}
if (high.Length != low.Length || high.Length != close.Length)
{
throw new ArgumentException("Input spans must have the same length", nameof(high));
}
if (kOut.Length < high.Length)
{
throw new ArgumentException("K output span must be at least as long as input", nameof(kOut));
}
if (dOut.Length < high.Length)
{
throw new ArgumentException("D output span must be at least as long as input", nameof(dOut));
}
int len = high.Length;
if (len == 0)
{
return;
}
// Compute highest/lowest via Highest/Lowest batch helpers
const int StackallocThreshold = 256;
double[]? rentedUpper = null;
double[]? rentedLower = null;
double[]? rentedDBuf = null;
scoped Span<double> upperBuf;
scoped Span<double> lowerBuf;
if (len <= StackallocThreshold)
{
upperBuf = stackalloc double[len];
lowerBuf = stackalloc double[len];
}
else
{
rentedUpper = ArrayPool<double>.Shared.Rent(len);
rentedLower = ArrayPool<double>.Shared.Rent(len);
upperBuf = rentedUpper.AsSpan(0, len);
lowerBuf = rentedLower.AsSpan(0, len);
}
// SMA circular buffer for %D
scoped Span<double> dBuf;
if (dPeriod <= StackallocThreshold)
{
dBuf = stackalloc double[dPeriod];
}
else
{
rentedDBuf = ArrayPool<double>.Shared.Rent(dPeriod);
dBuf = rentedDBuf.AsSpan(0, dPeriod);
}
dBuf.Clear();
try
{
Highest.Batch(high, upperBuf, kLength);
Lowest.Batch(low, lowerBuf, kLength);
double dSum = 0.0;
int dHead = 0;
for (int i = 0; i < len; i++)
{
double range = upperBuf[i] - lowerBuf[i];
double kVal = range > 0.0 ? 100.0 * (close[i] - lowerBuf[i]) / range : 0.0;
kOut[i] = kVal;
if (i == 0)
{
// Fill entire D buffer with first %K value
for (int j = 0; j < dPeriod; j++)
{
dBuf[j] = kVal;
}
dSum = kVal * dPeriod;
dHead = 0;
}
else
{
double oldVal = dBuf[dHead];
dSum = dSum - oldVal + kVal;
dBuf[dHead] = kVal;
dHead = (dHead + 1) % dPeriod;
}
dOut[i] = dSum / dPeriod;
}
}
finally
{
if (rentedUpper != null)
{
ArrayPool<double>.Shared.Return(rentedUpper);
}
if (rentedLower != null)
{
ArrayPool<double>.Shared.Return(rentedLower);
}
if (rentedDBuf != null)
{
ArrayPool<double>.Shared.Return(rentedDBuf);
}
}
}
public static (TSeries K, TSeries D) Batch(TBarSeries source,
int kLength = DefaultKLength, int dPeriod = DefaultDPeriod)
{
if (source == null || source.Count == 0)
{
return (new TSeries([], []), new TSeries([], []));
}
int len = source.Count;
var tK = new List<long>(len);
var vK = new List<double>(len);
var tD = new List<long>(len);
var vD = new List<double>(len);
CollectionsMarshal.SetCount(tK, len);
CollectionsMarshal.SetCount(vK, len);
CollectionsMarshal.SetCount(tD, len);
CollectionsMarshal.SetCount(vD, len);
Batch(source.HighValues, source.LowValues, source.CloseValues,
CollectionsMarshal.AsSpan(vK),
CollectionsMarshal.AsSpan(vD),
kLength, dPeriod);
var tSpan = CollectionsMarshal.AsSpan(tK);
source.Times.CopyTo(tSpan);
tSpan.CopyTo(CollectionsMarshal.AsSpan(tD));
return (new TSeries(tK, vK), new TSeries(tD, vD));
}
public static ((TSeries K, TSeries D) Results, Stochf Indicator) Calculate(
TBarSeries source, int kLength = DefaultKLength, int dPeriod = DefaultDPeriod)
{
var indicator = new Stochf(kLength, dPeriod);
var results = indicator.Update(source);
return (results, indicator);
}
}