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using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// KRI: Kairi Relative Index
/// </summary>
/// <remarks>
/// Percentage deviation of the current price from its Simple Moving Average:
/// <c>KRI = 100 × (source SMA) / SMA</c>
///
/// Uses a circular buffer with running sum for O(1) per-bar updates.
/// Positive KRI indicates price is above its average (bullish);
/// negative indicates price is below (bearish).
///
/// References:
/// Japanese technical analysis tradition
/// PineScript reference: kri.pine
/// </remarks>
[SkipLocalsInit]
public sealed class Kri : AbstractBase
{
private readonly int _period;
private readonly RingBuffer _buffer;
[StructLayout(LayoutKind.Auto)]
private record struct State(
double Sum,
double LastValid,
int Count);
private State _state;
private State _p_state;
/// <summary>
/// Creates Kairi Relative Index with specified period.
/// </summary>
/// <param name="period">SMA lookback period (must be &gt; 0)</param>
public Kri(int period = 14)
{
if (period <= 0)
{
throw new ArgumentException("Period must be greater than 0", nameof(period));
}
_period = period;
_buffer = new RingBuffer(period);
Name = $"Kri({period})";
WarmupPeriod = period;
}
/// <summary>
/// Creates KRI with specified source and period.
/// </summary>
public Kri(ITValuePublisher source, int period = 14) : this(period)
{
source.Pub += Handle;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private void Handle(object? sender, in TValueEventArgs e) => Update(e.Value, e.IsNew);
public override bool IsHot => _buffer.IsFull;
/// <summary>Period of the indicator.</summary>
public int Period => _period;
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override TValue Update(TValue input, bool isNew = true)
{
if (isNew)
{
_p_state = _state;
}
else
{
_state = _p_state;
}
double value = input.Value;
if (!double.IsFinite(value))
{
value = double.IsFinite(_state.LastValid) ? _state.LastValid : 0.0;
}
else
{
_state.LastValid = value;
}
if (isNew)
{
if (_buffer.IsFull)
{
_state.Sum -= _buffer[0];
}
_state.Sum += value;
_buffer.Add(value);
_state.Count = _buffer.Count;
}
else
{
_buffer.UpdateNewest(value);
// Recompute sum from buffer to avoid drift from mismatched eviction state
double sum = 0;
for (int j = 0; j < _buffer.Count; j++)
{
sum += _buffer[j];
}
_state.Sum = sum;
_state.Count = _buffer.Count;
}
double sma = _state.Sum / Math.Max(1, _state.Count);
double kri = sma != 0.0 ? 100.0 * (value - sma) / sma : 0.0;
Last = new TValue(input.Time, kri);
PubEvent(Last, isNew);
return Last;
}
public override TSeries Update(TSeries source)
{
int len = source.Count;
var t = new List<long>(len);
var v = new List<double>(len);
CollectionsMarshal.SetCount(t, len);
CollectionsMarshal.SetCount(v, len);
Batch(source.Values, CollectionsMarshal.AsSpan(v), _period);
source.Times.CopyTo(CollectionsMarshal.AsSpan(t));
for (int i = 0; i < len; i++)
{
Update(new TValue(source.Times[i], source.Values[i]), isNew: true);
}
return new TSeries(t, v);
}
public override void Prime(ReadOnlySpan<double> source, TimeSpan? step = null)
{
TimeSpan interval = step ?? TimeSpan.FromTicks(1);
DateTime baseTime = DateTime.UtcNow - (interval * (source.Length - 1));
for (int i = 0; i < source.Length; i++)
{
Update(new TValue(baseTime + (interval * i), source[i]), isNew: true);
}
}
public override void Reset()
{
_buffer.Clear();
_state = default;
_p_state = default;
Last = default;
}
/// <summary>Calculates KRI for entire series.</summary>
public static TSeries Batch(TSeries source, int period = 14)
{
int len = source.Count;
var t = new List<long>(len);
var v = new List<double>(len);
CollectionsMarshal.SetCount(t, len);
CollectionsMarshal.SetCount(v, len);
Batch(source.Values, CollectionsMarshal.AsSpan(v), period);
source.Times.CopyTo(CollectionsMarshal.AsSpan(t));
return new TSeries(t, v);
}
/// <summary>Batch KRI via circular buffer with running sum.</summary>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static void Batch(ReadOnlySpan<double> source, Span<double> output, int period = 14)
{
if (source.Length != output.Length)
{
throw new ArgumentException("Source and output must have the same length", nameof(output));
}
if (period <= 0)
{
throw new ArgumentException("Period must be greater than 0", nameof(period));
}
int len = source.Length;
if (len == 0)
{
return;
}
var buffer = new RingBuffer(period);
double sum = 0.0;
double lastValid = 0.0;
for (int i = 0; i < len; i++)
{
double val = source[i];
if (!double.IsFinite(val)) { val = lastValid; } else { lastValid = val; }
if (buffer.IsFull) { sum -= buffer[0]; }
sum += val;
buffer.Add(val);
double sma = sum / Math.Max(1, buffer.Count);
output[i] = sma != 0.0 ? 100.0 * (val - sma) / sma : 0.0;
}
}
/// <summary>Creates a KRI indicator, processes source, returns results with indicator.</summary>
public static (TSeries Results, Kri Indicator) Calculate(TSeries source, int period = 14)
{
var indicator = new Kri(period);
return (indicator.Update(source), indicator);
}
}