Files
QuanTAlib/lib/channels/kchannel/Kchannel.cs
T
Miha Kralj a9e72dae0d Refactor and enhance various channel indicators for improved performance and stability
- Updated Codacy instructions to streamline usage guidelines.
- Refactored Bbands class to utilize ArrayPool for memory management, preventing stack overflow on large series.
- Changed Fcb class to use long for monotonic deques to avoid truncation issues.
- Enhanced Kchannel class to ensure safe defaults for non-finite values.
- Improved Maenv class to prevent double-priming during calculations.
- Modified Mmchannel class to ensure non-negative buffer indices and removed unnecessary state tracking.
- Updated Pchannel class to correctly reference IsHot state.
- Refined Regchannel class to avoid double-processing during calculations.
- Enhanced Starchannel class to sanitize non-finite values during calculations.
- Adjusted Stbands.Quantower.cs to allow finer control over multiplier precision.
- Updated Ubands class to only update last valid values on new bars.
- Modified Uchannel.Quantower.cs to allow for finer multiplier precision.
- Enhanced Vwapbands classes to include standard deviation calculations and ensure consistent array lengths.
- Refactored Vwapsd classes to include standard deviation outputs and ensure consistent array lengths.
- Updated MonotonicDeque to use long for indices to prevent overflow.
- Improved Mdape class to handle zero actual values with a substitute value for error calculation.
- Enhanced Rae class to ensure correct state management during updates.
- Refined Wmape class to simplify the logic for finding last valid actual and predicted values.
- Updated Cmf.Quantower classes to ensure MinHistoryDepths reflects the current period.
2026-01-27 23:48:33 -08:00

413 lines
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C#
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using System.Buffers;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// KCHANNEL: Keltner Channel
/// A volatility-based envelope using EMA as the middle line and ATR for band width.
/// Middle = EMA(source, period) with warmup compensation
/// Upper = Middle + (multiplier × ATR)
/// Lower = Middle - (multiplier × ATR)
/// ATR uses RMA (Wilder's smoothing) with warmup compensation.
/// </summary>
[SkipLocalsInit]
public sealed class Kchannel : ITValuePublisher
{
private readonly int _period;
private readonly double _multiplier;
private readonly double _emaAlpha;
private readonly double _atrAlpha;
[StructLayout(LayoutKind.Auto)]
private record struct State(
double EmaSum,
double EmaWeight,
double RawRma,
double E,
double PrevClose,
double LastValidClose,
double LastValidHigh,
double LastValidLow,
int Bars,
bool IsHot);
private State _state;
private State _p_state;
private readonly TBarPublishedHandler _barHandler;
private const double Epsilon = 1e-10;
public string Name { get; }
public int WarmupPeriod { get; }
public TValue Last { get; private set; }
public TValue Upper { get; private set; }
public TValue Lower { get; private set; }
public bool IsHot => _state.IsHot;
public event TValuePublishedHandler? Pub;
public Kchannel(int period = 20, double multiplier = 2.0)
{
if (period < 1)
{
throw new ArgumentOutOfRangeException(nameof(period), "Period must be >= 1.");
}
if (multiplier <= 0.0)
{
throw new ArgumentOutOfRangeException(nameof(multiplier), "Multiplier must be > 0.");
}
_period = period;
_multiplier = multiplier;
_emaAlpha = 2.0 / (period + 1);
_atrAlpha = 1.0 / period;
WarmupPeriod = period * 2;
Name = $"Kchannel({period},{multiplier})";
_barHandler = HandleBar;
Reset();
}
public Kchannel(TBarSeries source, int period = 20, double multiplier = 2.0) : this(period, multiplier)
{
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 void Reset()
{
_state = new State(0, 0, 0, 1.0, double.NaN, double.NaN, double.NaN, double.NaN, 0, false);
_p_state = _state;
Last = default;
Upper = default;
Lower = default;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private (double close, double high, double low) GetValid(double close, double high, double low)
{
if (double.IsFinite(close))
{
_state = _state with { LastValidClose = close };
}
else if (double.IsFinite(_state.LastValidClose))
{
close = _state.LastValidClose;
}
else
{
// Neither input nor stored value is finite - use safe default
close = 0.0;
}
if (double.IsFinite(high))
{
_state = _state with { LastValidHigh = high };
}
else if (double.IsFinite(_state.LastValidHigh))
{
high = _state.LastValidHigh;
}
else
{
// Neither input nor stored value is finite - use safe default
high = 0.0;
}
if (double.IsFinite(low))
{
_state = _state with { LastValidLow = low };
}
else if (double.IsFinite(_state.LastValidLow))
{
low = _state.LastValidLow;
}
else
{
// Neither input nor stored value is finite - use safe default
low = 0.0;
}
return (close, high, low);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue Update(TBar input, bool isNew = true)
{
if (isNew)
{
_p_state = _state;
}
else
{
_state = _p_state;
}
var (close, high, low) = GetValid(input.Close, input.High, input.Low);
// Handle first bar
if (_state.Bars == 0)
{
_state = _state with
{
EmaSum = close,
EmaWeight = 1.0,
RawRma = 0.0,
E = 1.0,
PrevClose = close,
Bars = 1
};
double ema = close;
Last = new TValue(input.Time, ema);
Upper = new TValue(input.Time, ema);
Lower = new TValue(input.Time, ema);
PubEvent(Last, isNew);
return Last;
}
if (isNew)
{
_state = _state with { Bars = _state.Bars + 1 };
}
// EMA with warmup compensation (sum/weight approach)
double newSum = Math.FusedMultiplyAdd(_state.EmaSum, 1.0 - _emaAlpha, close * _emaAlpha);
double newWeight = Math.FusedMultiplyAdd(_state.EmaWeight, 1.0 - _emaAlpha, _emaAlpha);
double emaValue = newSum / newWeight;
// True Range
double prevClose = _state.PrevClose;
double tr1 = high - low;
double tr2 = Math.Abs(high - prevClose);
double tr3 = Math.Abs(low - prevClose);
double trueRange = Math.Max(tr1, Math.Max(tr2, tr3));
// ATR using RMA with warmup compensation
double newRawRma = (_state.RawRma * (_period - 1) + trueRange) / _period;
double newE = (1.0 - _atrAlpha) * _state.E;
double atrValue = newE > Epsilon ? newRawRma / (1.0 - newE) : newRawRma;
// Update state
_state = _state with
{
EmaSum = newSum,
EmaWeight = newWeight,
RawRma = newRawRma,
E = newE,
PrevClose = close
};
// Calculate bands
double width = _multiplier * atrValue;
double upper = emaValue + width;
double lower = emaValue - width;
if (!_state.IsHot && _state.Bars >= WarmupPeriod)
{
_state = _state with { IsHot = true };
}
Last = new TValue(input.Time, emaValue);
Upper = new TValue(input.Time, upper);
Lower = new TValue(input.Time, lower);
PubEvent(Last, isNew);
return Last;
}
public (TSeries Middle, TSeries Upper, TSeries Lower) Update(TBarSeries source)
{
if (source.Count == 0)
{
return (new TSeries([], []), new TSeries([], []), new TSeries([], []));
}
int len = source.Count;
var tMiddle = new List<long>(len);
var vMiddle = new List<double>(len);
var tUpper = new List<long>(len);
var vUpper = new List<double>(len);
var tLower = new List<long>(len);
var vLower = new List<double>(len);
CollectionsMarshal.SetCount(tMiddle, len);
CollectionsMarshal.SetCount(vMiddle, len);
CollectionsMarshal.SetCount(tUpper, len);
CollectionsMarshal.SetCount(vUpper, len);
CollectionsMarshal.SetCount(tLower, len);
CollectionsMarshal.SetCount(vLower, len);
var tSpan = CollectionsMarshal.AsSpan(tMiddle);
var vMiddleSpan = CollectionsMarshal.AsSpan(vMiddle);
var vUpperSpan = CollectionsMarshal.AsSpan(vUpper);
var vLowerSpan = CollectionsMarshal.AsSpan(vLower);
Batch(source.HighValues, source.LowValues, source.CloseValues,
vMiddleSpan, vUpperSpan, vLowerSpan, _period, _multiplier);
source.Times.CopyTo(tSpan);
tSpan.CopyTo(CollectionsMarshal.AsSpan(tUpper));
tSpan.CopyTo(CollectionsMarshal.AsSpan(tLower));
// Prime internal state for continued streaming
Prime(source);
var lastTime = new DateTime(source.Times[^1], DateTimeKind.Utc);
Last = new TValue(lastTime, vMiddleSpan[^1]);
Upper = new TValue(lastTime, vUpperSpan[^1]);
Lower = new TValue(lastTime, vLowerSpan[^1]);
return (new TSeries(tMiddle, vMiddle), new TSeries(tUpper, vUpper), new TSeries(tLower, vLower));
}
public void Prime(TBarSeries source)
{
Reset();
if (source.Count == 0)
{
return;
}
for (int i = 0; i < source.Count; i++)
{
Update(source[i], isNew: true);
}
}
/// <summary>
/// Batch calculation using spans (zero allocation).
/// </summary>
public static void Batch(
ReadOnlySpan<double> high,
ReadOnlySpan<double> low,
ReadOnlySpan<double> close,
Span<double> middle,
Span<double> upper,
Span<double> lower,
int period,
double multiplier = 2.0)
{
if (period < 1)
{
throw new ArgumentOutOfRangeException(nameof(period), "Period must be >= 1.");
}
if (multiplier <= 0.0)
{
throw new ArgumentOutOfRangeException(nameof(multiplier), "Multiplier must be > 0.");
}
if (high.Length != low.Length || high.Length != close.Length)
{
throw new ArgumentException("High, Low, and Close spans must have the same length", nameof(high));
}
if (middle.Length < high.Length || upper.Length < high.Length || lower.Length < high.Length)
{
throw new ArgumentException("Output spans must be at least as long as inputs", nameof(middle));
}
int len = high.Length;
if (len == 0)
{
return;
}
double emaAlpha = 2.0 / (period + 1);
double atrAlpha = 1.0 / period;
double emaSum = close[0];
double emaWeight = 1.0;
double rawRma = 0.0;
double e = 1.0;
double prevClose = close[0];
// First bar
middle[0] = close[0];
upper[0] = close[0];
lower[0] = close[0];
for (int i = 1; i < len; i++)
{
double c = close[i];
double h = high[i];
double l = low[i];
// EMA with warmup
emaSum = Math.FusedMultiplyAdd(emaSum, 1.0 - emaAlpha, c * emaAlpha);
emaWeight = Math.FusedMultiplyAdd(emaWeight, 1.0 - emaAlpha, emaAlpha);
double ema = emaSum / emaWeight;
// True Range
double tr1 = h - l;
double tr2 = Math.Abs(h - prevClose);
double tr3 = Math.Abs(l - prevClose);
double tr = Math.Max(tr1, Math.Max(tr2, tr3));
// ATR (RMA with warmup)
rawRma = (rawRma * (period - 1) + tr) / period;
e = (1.0 - atrAlpha) * e;
double atr = e > Epsilon ? rawRma / (1.0 - e) : rawRma;
prevClose = c;
double width = multiplier * atr;
middle[i] = ema;
upper[i] = ema + width;
lower[i] = ema - width;
}
}
public static (TSeries Middle, TSeries Upper, TSeries Lower) Batch(TBarSeries source, int period = 20, double multiplier = 2.0)
{
int len = source.Count;
var tMiddle = new List<long>(len);
var vMiddle = new List<double>(len);
var tUpper = new List<long>(len);
var vUpper = new List<double>(len);
var tLower = new List<long>(len);
var vLower = new List<double>(len);
CollectionsMarshal.SetCount(tMiddle, len);
CollectionsMarshal.SetCount(vMiddle, len);
CollectionsMarshal.SetCount(tUpper, len);
CollectionsMarshal.SetCount(vUpper, len);
CollectionsMarshal.SetCount(tLower, len);
CollectionsMarshal.SetCount(vLower, len);
Batch(source.HighValues, source.LowValues, source.CloseValues,
CollectionsMarshal.AsSpan(vMiddle),
CollectionsMarshal.AsSpan(vUpper),
CollectionsMarshal.AsSpan(vLower),
period, multiplier);
source.Times.CopyTo(CollectionsMarshal.AsSpan(tMiddle));
CollectionsMarshal.AsSpan(tMiddle).CopyTo(CollectionsMarshal.AsSpan(tUpper));
CollectionsMarshal.AsSpan(tMiddle).CopyTo(CollectionsMarshal.AsSpan(tLower));
return (new TSeries(tMiddle, vMiddle), new TSeries(tUpper, vUpper), new TSeries(tLower, vLower));
}
public static ((TSeries Middle, TSeries Upper, TSeries Lower) Results, Kchannel Indicator) Calculate(TBarSeries source, int period = 20, double multiplier = 2.0)
{
var indicator = new Kchannel(source, period, multiplier);
var results = indicator.Update(source);
return (results, indicator);
}
}