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namespace QuanTAlib;
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using System;
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using System.Linq;
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public class Percentile : AbstractBase
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{
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public readonly int Period;
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public readonly double Percent;
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private CircularBuffer _buffer;
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public Percentile(int period, double percent) : base()
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{
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if (period < 2)
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{
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throw new ArgumentOutOfRangeException(nameof(period), "Period must be greater than or equal to 2 for percentile calculation.");
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}
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if (percent < 0 || percent > 100)
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{
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throw new ArgumentOutOfRangeException(nameof(percent), "Percent must be between 0 and 100.");
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}
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Period = period;
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Percent = percent;
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WarmupPeriod = 2;
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_buffer = new CircularBuffer(period);
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Name = $"Percentile(period={period}, percent={percent})";
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Init();
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}
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public Percentile(object source, int period, double percent) : this(period, percent)
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{
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var pubEvent = source.GetType().GetEvent("Pub");
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pubEvent?.AddEventHandler(source, new ValueSignal(Sub));
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}
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public override void Init()
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{
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base.Init();
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_buffer.Clear();
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}
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protected override void ManageState(bool isNew)
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{
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if (isNew)
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{
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_lastValidValue = Input.Value;
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_index++;
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}
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}
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protected override double Calculation()
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{
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ManageState(Input.IsNew);
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_buffer.Add(Input.Value, Input.IsNew);
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double result;
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if (_buffer.Count >= Period)
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{
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var values = _buffer.GetSpan().ToArray();
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Array.Sort(values);
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double position = (Percent / 100.0) * (values.Length - 1);
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int lowerIndex = (int)Math.Floor(position);
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int upperIndex = (int)Math.Ceiling(position);
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if (lowerIndex == upperIndex)
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{
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result = values[lowerIndex];
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}
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else
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{
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// Interpolate between the two nearest values
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double lowerValue = values[lowerIndex];
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double upperValue = values[upperIndex];
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double fraction = position - lowerIndex;
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result = lowerValue + (upperValue - lowerValue) * fraction;
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}
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}
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else
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{
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// Use average for insufficient data, like the Median class
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result = _buffer.Average();
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}
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IsHot = _buffer.Count >= Period;
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return result;
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}
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}
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