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https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-07 05:27:43 +00:00
82 lines
2.1 KiB
C#
82 lines
2.1 KiB
C#
namespace QuanTAlib;
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using System;
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using System.Linq;
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public class Skew : AbstractBase
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{
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public readonly int Period;
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private CircularBuffer _buffer;
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public Skew(int period) : base()
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{
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if (period < 3)
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{
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throw new ArgumentOutOfRangeException(nameof(period), "Period must be greater than or equal to 3 for skewness calculation.");
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}
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Period = period;
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WarmupPeriod = 3;
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_buffer = new CircularBuffer(period);
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Name = $"Skew(period={period})";
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Init();
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}
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public Skew(object source, int period) : this(period)
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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 skew = 0;
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if (_buffer.Count >= 3) // We need at least 3 data points for skewness
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{
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var values = _buffer.GetSpan().ToArray();
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double mean = values.Average();
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double n = values.Length;
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double sumCubedDeviations = 0;
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double sumSquaredDeviations = 0;
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foreach (var value in values)
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{
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double deviation = value - mean;
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sumCubedDeviations += Math.Pow(deviation, 3);
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sumSquaredDeviations += Math.Pow(deviation, 2);
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}
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// Calculate sample skewness using the adjusted Fisher-Pearson standardized moment coefficient
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double m3 = sumCubedDeviations / n;
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double m2 = sumSquaredDeviations / n;
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double s3 = Math.Pow(m2, 1.5);
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if (s3 != 0) // Avoid division by zero
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{
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skew = (Math.Sqrt(n * (n - 1)) / (n - 2)) * (m3 / s3);
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}
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}
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IsHot = _buffer.Count >= Period;
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return skew;
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}
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} |