Files

421 lines
14 KiB
C#

using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// FSI: Ehlers Fourier Series Indicator
/// </summary>
/// <remarks>
/// <para>
/// Decomposes price cycles into three harmonic bandpass components and reconstructs
/// a waveshape using amplitude-weighted Fourier synthesis. The output represents the
/// dominant cycle content of price, useful for identifying turning points.
/// </para>
/// <para>
/// Algorithm (TASC June 2019, John F. Ehlers "Fourier Series Model of the Market"):
/// <list type="number">
/// <item>Apply Ehlers bandpass filters at the fundamental period and its 2nd/3rd harmonics</item>
/// <item>Compute quadrature components Q = (period/2π) · d(BP)/dt for each harmonic</item>
/// <item>Estimate power P_k = Sum(BP_k² + Q_k², period) for each harmonic</item>
/// <item>Reconstruct: FSI = BP1 + sqrt(P2/P1)·BP2 + sqrt(P3/P1)·BP3</item>
/// </list>
/// </para>
/// <para>
/// <b>Complexity:</b> O(1) per bar — three IIR bandpass evaluations + rolling power sums.
/// </para>
/// </remarks>
[SkipLocalsInit]
public sealed class Fsi : AbstractBase
{
// ── Bandpass coefficients per harmonic ──
// Fundamental (period = x)
private readonly double _a0_1, _a1_1, _a2_1;
// 2nd harmonic (period = x/2)
private readonly double _a0_2, _a1_2, _a2_2;
// 3rd harmonic (period = x/3)
private readonly double _a0_3, _a1_3, _a2_3;
// Quadrature scale factor: period / (2π)
private readonly double _qScale;
// Rolling power sum buffers
private readonly RingBuffer _p1Buf;
private readonly RingBuffer _p2Buf;
private readonly RingBuffer _p3Buf;
private const int DefaultPeriod = 20;
private const double DefaultBandwidth = 0.1;
private const int MinPeriod = 6;
private const double MinBandwidth = 0.001;
[StructLayout(LayoutKind.Auto)]
private record struct State(
double Bp1, double Bp1_1, // fundamental bandpass
double Bp2, double Bp2_1, // 2nd harmonic bandpass
double Bp3, double Bp3_1, // 3rd harmonic bandpass
double Src1, double Src2, // previous close values
double LastValid,
int Count);
private State _state;
private State _p_state;
/// <summary>Fundamental cycle period.</summary>
public int Period { get; }
/// <summary>Bandpass filter bandwidth.</summary>
public double Bandwidth { get; }
/// <summary>
/// Creates an FSI indicator.
/// </summary>
/// <param name="period">Fundamental cycle length (default 20, minimum 6).</param>
/// <param name="bandwidth">Bandpass filter bandwidth (default 0.1).</param>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Fsi(int period = DefaultPeriod, double bandwidth = DefaultBandwidth)
{
if (period < MinPeriod)
{
throw new ArgumentOutOfRangeException(nameof(period),
$"Period must be at least {MinPeriod}.");
}
if (bandwidth < MinBandwidth)
{
throw new ArgumentOutOfRangeException(nameof(bandwidth),
$"Bandwidth must be at least {MinBandwidth}.");
}
Period = period;
Bandwidth = bandwidth;
// Precompute coefficients for three harmonics
ComputeBpCoefficients(period, bandwidth, out _a0_1, out _a1_1, out _a2_1);
ComputeBpCoefficients(period / 2.0, bandwidth, out _a0_2, out _a1_2, out _a2_2);
ComputeBpCoefficients(period / 3.0, bandwidth, out _a0_3, out _a1_3, out _a2_3);
_qScale = period / (2.0 * Math.PI);
_p1Buf = new RingBuffer(period);
_p2Buf = new RingBuffer(period);
_p3Buf = new RingBuffer(period);
Name = $"FSI({period},{bandwidth:F2})";
WarmupPeriod = period;
_state = new State { LastValid = double.NaN };
_p_state = _state;
}
/// <summary>
/// Creates an FSI indicator subscribed to a publisher source.
/// </summary>
public Fsi(ITValuePublisher source, int period = DefaultPeriod, double bandwidth = DefaultBandwidth)
: this(period, bandwidth)
{
source.Pub += (object? _, in TValueEventArgs args) => Update(args.Value, args.IsNew);
}
/// <summary>
/// Computes Ehlers bandpass filter coefficients for a given period.
/// </summary>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static void ComputeBpCoefficients(double period, double bandwidth,
out double a0, out double a1, out double a2)
{
double twoPiOverP = 2.0 * Math.PI / period;
double L = Math.Cos(twoPiOverP);
double G = Math.Cos(bandwidth * twoPiOverP);
double S = (1.0 / G) - Math.Sqrt((1.0 / (G * G)) - 1.0);
a0 = 0.5 * (1.0 - S);
a1 = L * (1.0 + S);
a2 = -S;
}
public override bool IsHot => _state.Count >= WarmupPeriod;
/// <summary>Primes the indicator with historical data.</summary>
public override void Prime(ReadOnlySpan<double> source, TimeSpan? step = null)
{
foreach (double v in source)
{
Update(new TValue(DateTime.MinValue, v), isNew: true);
}
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override TValue Update(TValue input, bool isNew = true)
{
if (isNew)
{
_p_state = _state;
_p1Buf.Snapshot();
_p2Buf.Snapshot();
_p3Buf.Snapshot();
}
else
{
_state = _p_state;
_p1Buf.Restore();
_p2Buf.Restore();
_p3Buf.Restore();
}
double src = input.Value;
// Sanitize NaN/Inf
if (!double.IsFinite(src))
{
src = double.IsFinite(_state.LastValid) ? _state.LastValid : 0.0;
}
else
{
_state.LastValid = src;
}
ref State s = ref _state;
double result;
if (s.Count < 2)
{
// Bootstrap: not enough bars for 2nd-order difference
if (s.Count == 0)
{
s.Src1 = src;
s.Src2 = src;
}
else
{
s.Src2 = s.Src1;
s.Src1 = src;
}
s.Count++;
result = 0.0;
}
else
{
double diff = src - s.Src2; // Close[i] - Close[i-2]
// ── Bandpass filters ──
double bp1 = Math.FusedMultiplyAdd(_a0_1, diff,
Math.FusedMultiplyAdd(_a1_1, s.Bp1, _a2_1 * s.Bp1_1));
double bp2 = Math.FusedMultiplyAdd(_a0_2, diff,
Math.FusedMultiplyAdd(_a1_2, s.Bp2, _a2_2 * s.Bp2_1));
double bp3 = Math.FusedMultiplyAdd(_a0_3, diff,
Math.FusedMultiplyAdd(_a1_3, s.Bp3, _a2_3 * s.Bp3_1));
// ── Quadrature components (differentiation-based 90° phase shift) ──
double q1 = _qScale * (bp1 - s.Bp1);
double q2 = _qScale * (bp2 - s.Bp2);
double q3 = _qScale * (bp3 - s.Bp3);
// ── Power estimation (rolling sum over period bars) ──
double pw1 = (bp1 * bp1) + (q1 * q1);
double pw2 = (bp2 * bp2) + (q2 * q2);
double pw3 = (bp3 * bp3) + (q3 * q3);
_p1Buf.Add(pw1);
_p2Buf.Add(pw2);
_p3Buf.Add(pw3);
double p1Sum = _p1Buf.Sum;
double p2Sum = _p2Buf.Sum;
double p3Sum = _p3Buf.Sum;
// ── Amplitude-weighted reconstruction ──
if (p1Sum > 1e-20)
{
double w2 = Math.Sqrt(p2Sum / p1Sum);
double w3 = Math.Sqrt(p3Sum / p1Sum);
result = bp1 + (w2 * bp2) + (w3 * bp3);
}
else
{
result = bp1;
}
// Update bandpass state
s.Bp1_1 = s.Bp1; s.Bp1 = bp1;
s.Bp2_1 = s.Bp2; s.Bp2 = bp2;
s.Bp3_1 = s.Bp3; s.Bp3 = bp3;
// Update source history
s.Src2 = s.Src1;
s.Src1 = src;
s.Count++;
}
Last = new TValue(input.Time, result);
PubEvent(Last, isNew);
return Last;
}
/// <summary>Updates with a full TSeries and returns results.</summary>
[MethodImpl(MethodImplOptions.AggressiveOptimization)]
public override TSeries Update(TSeries source)
{
if (source.Count == 0)
{
return [];
}
var resultValues = new double[source.Count];
Batch(source.Values, resultValues, Period, Bandwidth);
var result = new TSeries();
var times = source.Times;
for (int i = 0; i < source.Count; i++)
{
result.Add(new TValue(times[i], resultValues[i]));
}
// Sync internal state by replaying
int len = source.Count;
if (len >= 2)
{
var replay = new Fsi(Period, Bandwidth);
for (int i = 0; i < len; i++)
{
replay.Update(new TValue(times[i], source.Values[i]));
}
_state = replay._state;
_p1Buf.CopyFrom(replay._p1Buf);
_p2Buf.CopyFrom(replay._p2Buf);
_p3Buf.CopyFrom(replay._p3Buf);
}
_p_state = _state;
return result;
}
/// <summary>Static batch on TSeries.</summary>
public static TSeries Batch(TSeries source, int period = DefaultPeriod, double bandwidth = DefaultBandwidth)
{
var indicator = new Fsi(period, bandwidth);
return indicator.Update(source);
}
/// <summary>
/// Static batch calculation on spans. Zero allocation on the hot path.
/// </summary>
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public static void Batch(ReadOnlySpan<double> source, Span<double> output,
int period = DefaultPeriod, double bandwidth = DefaultBandwidth)
{
if (source.Length != output.Length)
{
throw new ArgumentException("Source and output spans must be of equal length.", nameof(output));
}
if (source.Length == 0)
{
return;
}
if (period < MinPeriod)
{
throw new ArgumentOutOfRangeException(nameof(period),
$"Period must be at least {MinPeriod}.");
}
if (bandwidth < MinBandwidth)
{
throw new ArgumentOutOfRangeException(nameof(bandwidth),
$"Bandwidth must be at least {MinBandwidth}.");
}
// Precompute coefficients
ComputeBpCoefficients(period, bandwidth, out double a0_1, out double a1_1, out double a2_1);
ComputeBpCoefficients(period / 2.0, bandwidth, out double a0_2, out double a1_2, out double a2_2);
ComputeBpCoefficients(period / 3.0, bandwidth, out double a0_3, out double a1_3, out double a2_3);
double qScale = period / (2.0 * Math.PI);
// Bandpass state
double bp1 = 0, bp1_1 = 0;
double bp2 = 0, bp2_1 = 0;
double bp3 = 0, bp3_1 = 0;
// Power ring buffers
Span<double> pw1Buf = stackalloc double[period];
pw1Buf.Clear();
Span<double> pw2Buf = stackalloc double[period];
pw2Buf.Clear();
Span<double> pw3Buf = stackalloc double[period];
pw3Buf.Clear();
double p1Sum = 0, p2Sum = 0, p3Sum = 0;
int pwIdx = 0;
// First two bars: no 2nd-order difference available
output[0] = 0.0;
if (source.Length < 2)
{
return;
}
output[1] = 0.0;
for (int i = 2; i < source.Length; i++)
{
double diff = source[i] - source[i - 2];
// Bandpass filters
double newBp1 = Math.FusedMultiplyAdd(a0_1, diff,
Math.FusedMultiplyAdd(a1_1, bp1, a2_1 * bp1_1));
double newBp2 = Math.FusedMultiplyAdd(a0_2, diff,
Math.FusedMultiplyAdd(a1_2, bp2, a2_2 * bp2_1));
double newBp3 = Math.FusedMultiplyAdd(a0_3, diff,
Math.FusedMultiplyAdd(a1_3, bp3, a2_3 * bp3_1));
// Quadrature
double q1 = qScale * (newBp1 - bp1);
double q2 = qScale * (newBp2 - bp2);
double q3 = qScale * (newBp3 - bp3);
// Power
double pw1 = (newBp1 * newBp1) + (q1 * q1);
double pw2 = (newBp2 * newBp2) + (q2 * q2);
double pw3 = (newBp3 * newBp3) + (q3 * q3);
// Rolling sum update
p1Sum = p1Sum - pw1Buf[pwIdx] + pw1;
p2Sum = p2Sum - pw2Buf[pwIdx] + pw2;
p3Sum = p3Sum - pw3Buf[pwIdx] + pw3;
pw1Buf[pwIdx] = pw1;
pw2Buf[pwIdx] = pw2;
pw3Buf[pwIdx] = pw3;
pwIdx = (pwIdx + 1) % period;
// Amplitude-weighted reconstruction
if (p1Sum > 1e-20)
{
double w2 = Math.Sqrt(p2Sum / p1Sum);
double w3 = Math.Sqrt(p3Sum / p1Sum);
output[i] = newBp1 + (w2 * newBp2) + (w3 * newBp3);
}
else
{
output[i] = newBp1;
}
// Advance state
bp1_1 = bp1; bp1 = newBp1;
bp2_1 = bp2; bp2 = newBp2;
bp3_1 = bp3; bp3 = newBp3;
}
}
/// <summary>Calculate factory returning results and indicator.</summary>
public static (TSeries Results, Fsi Indicator) Calculate(TSeries source,
int period = DefaultPeriod, double bandwidth = DefaultBandwidth)
{
var indicator = new Fsi(period, bandwidth);
TSeries results = indicator.Update(source);
return (results, indicator);
}
public override void Reset()
{
_state = new State { LastValid = double.NaN };
_p_state = _state;
_p1Buf.Clear();
_p2Buf.Clear();
_p3Buf.Clear();
}
}