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using System.Runtime.CompilerServices;
using System.Numerics;
namespace QuanTAlib;
/// <summary>
/// CMF: Chaikin Money Flow
/// </summary>
/// <remarks>
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/// Measures buying/selling pressure via close position within range and volume.
/// Oscillates between -1 and +1; positive indicates accumulation, negative indicates distribution.
///
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/// Calculation: <c>MFM = [(Close - Low) - (High - Close)] / (High - Low)</c>,
/// <c>MFV = MFM × Volume</c>, <c>CMF = Sum(MFV, period) / Sum(Volume, period)</c>.
/// </remarks>
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/// <seealso href="Cmf.md">Detailed documentation</seealso>
/// <seealso href="cmf.pine">Reference Pine Script implementation</seealso>
[SkipLocalsInit]
public sealed class Cmf : ITValuePublisher
{
private readonly int _period;
private readonly RingBuffer _mfvBuffer;
private readonly RingBuffer _volBuffer;
private double _sumMfv;
private double _sumVol;
private double _p_sumMfv;
private double _p_sumVol;
private int _index;
private int _p_index;
/// <summary>
/// Display name for the indicator.
/// </summary>
public string Name { get; }
public event TValuePublishedHandler? Pub;
/// <summary>
/// Current CMF value.
/// </summary>
public TValue Last { get; private set; }
/// <summary>
/// True if the indicator has processed enough bars (period).
/// </summary>
public bool IsHot => _index >= _period;
/// <summary>
/// Warmup period required before the indicator is considered hot.
/// </summary>
public int WarmupPeriod => _period;
/// <summary>
/// Creates a new CMF indicator.
/// </summary>
/// <param name="period">Lookback period (default: 20)</param>
/// <exception cref="ArgumentException">Thrown when period is less than 1.</exception>
public Cmf(int period = 20)
{
if (period < 1)
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{
throw new ArgumentException("Period must be >= 1", nameof(period));
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}
_period = period;
_mfvBuffer = new RingBuffer(period);
_volBuffer = new RingBuffer(period);
Name = $"CMF({period})";
}
/// <summary>
/// Resets the indicator state.
/// </summary>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Reset()
{
_mfvBuffer.Clear();
_volBuffer.Clear();
_sumMfv = 0;
_sumVol = 0;
_p_sumMfv = 0;
_p_sumVol = 0;
_index = 0;
_p_index = 0;
Last = default;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue Update(TBar input, bool isNew = true)
{
if (isNew)
{
_p_sumMfv = _sumMfv;
_p_sumVol = _sumVol;
_p_index = _index;
_mfvBuffer.Snapshot();
_volBuffer.Snapshot();
}
else
{
_sumMfv = _p_sumMfv;
_sumVol = _p_sumVol;
_index = _p_index;
_mfvBuffer.Restore();
_volBuffer.Restore();
}
double highLowRange = input.High - input.Low;
double mfm = 0;
if (highLowRange > double.Epsilon)
{
mfm = (input.Close - input.Low - (input.High - input.Close)) / highLowRange;
}
double mfv = mfm * input.Volume;
double vol = input.Volume;
// Update rolling sums
if (_mfvBuffer.IsFull)
{
_sumMfv -= _mfvBuffer.Oldest;
_sumVol -= _volBuffer.Oldest;
}
_mfvBuffer.Add(mfv);
_volBuffer.Add(vol);
_sumMfv += mfv;
_sumVol += vol;
if (isNew)
{
_index++;
}
// Calculate CMF
double cmfValue = _sumVol > double.Epsilon ? _sumMfv / _sumVol : 0;
Last = new TValue(input.Time, cmfValue);
Pub?.Invoke(this, new TValueEventArgs { Value = Last, IsNew = isNew });
return Last;
}
/// <summary>
/// Updates CMF with a TValue input.
/// </summary>
/// <exception cref="NotSupportedException">
/// CMF requires OHLCV bar data to calculate the Money Flow Multiplier and Volume.
/// Use Update(TBar) instead.
/// </exception>
#pragma warning disable S2325 // Method signature must match ITValuePublisher contract
public TValue Update(TValue input, bool isNew = true)
#pragma warning restore S2325
{
throw new NotSupportedException(
"CMF requires OHLCV bar data to calculate the Money Flow Multiplier and Volume. " +
"Use Update(TBar) instead.");
}
public TSeries Update(TBarSeries source)
{
var t = new List<long>(source.Count);
var v = new List<double>(source.Count);
Reset();
for (int i = 0; i < source.Count; i++)
{
var val = Update(source[i], isNew: true);
t.Add(val.Time);
v.Add(val.Value);
}
return new TSeries(t, v);
}
/// <summary>
/// Initializes the indicator state using the provided bar series history.
/// </summary>
/// <param name="source">Historical bar data.</param>
public void Prime(TBarSeries source)
{
Reset();
if (source.Count == 0)
{
return;
}
for (int i = 0; i < source.Count; i++)
{
Update(source[i], isNew: true);
}
}
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public static TSeries Batch(TBarSeries source, int period = 20)
{
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if (source.Count == 0)
{
return [];
}
var t = source.Open.Times.ToArray();
var v = new double[source.Count];
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Batch(source.High.Values, source.Low.Values, source.Close.Values, source.Volume.Values, v, period);
return new TSeries(t, v);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Batch(ReadOnlySpan<double> high, ReadOnlySpan<double> low, ReadOnlySpan<double> close, ReadOnlySpan<double> volume, Span<double> output, int period = 20)
{
if (high.Length != low.Length)
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{
throw new ArgumentException("High and Low spans must be of the same length", nameof(low));
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}
if (high.Length != close.Length)
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{
throw new ArgumentException("High and Close spans must be of the same length", nameof(close));
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}
if (high.Length != volume.Length)
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{
throw new ArgumentException("High and Volume spans must be of the same length", nameof(volume));
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}
if (high.Length != output.Length)
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{
throw new ArgumentException("Output span must be of the same length as input", nameof(output));
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}
if (period < 1)
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{
throw new ArgumentException("Period must be >= 1", nameof(period));
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}
int len = high.Length;
// First, compute MFV for each bar
Span<double> mfv = len <= 512 ? stackalloc double[len] : new double[len];
int i = 0;
if (Vector.IsHardwareAccelerated && len >= Vector<double>.Count)
{
int vectorSize = Vector<double>.Count;
var epsilon = new Vector<double>(double.Epsilon);
for (; i <= len - vectorSize; i += vectorSize)
{
var h = new Vector<double>(high.Slice(i, vectorSize));
var l = new Vector<double>(low.Slice(i, vectorSize));
var c = new Vector<double>(close.Slice(i, vectorSize));
var vol = new Vector<double>(volume.Slice(i, vectorSize));
var hl = h - l;
var num = c - l - (h - c);
var mask = Vector.GreaterThan(hl, epsilon);
var safeHl = Vector.ConditionalSelect(mask, hl, Vector<double>.One);
var mfm = num / safeHl;
mfm = Vector.ConditionalSelect(mask, mfm, Vector<double>.Zero);
var result = mfm * vol;
result.CopyTo(mfv.Slice(i, vectorSize));
}
}
for (; i < len; i++)
{
double h = high[i];
double l = low[i];
double c = close[i];
double vol = volume[i];
double hl = h - l;
double mfm = 0;
if (hl > double.Epsilon)
{
mfm = (c - l - (h - c)) / hl;
}
mfv[i] = mfm * vol;
}
// Now compute CMF using rolling sums
double sumMfv = 0;
double sumVol = 0;
for (i = 0; i < len; i++)
{
sumMfv += mfv[i];
sumVol += volume[i];
if (i >= period)
{
sumMfv -= mfv[i - period];
sumVol -= volume[i - period];
}
output[i] = sumVol > double.Epsilon ? sumMfv / sumVol : 0;
}
}
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public static (TSeries Results, Cmf Indicator) Calculate(TBarSeries source, int period = 20)
{
var indicator = new Cmf(period);
TSeries results = indicator.Update(source);
return (results, indicator);
}
}