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https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-12 15:48:05 +00:00
Class optimization
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+62
-18
@@ -1,5 +1,5 @@
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using System;
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using System.Linq;
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using System.Collections.Generic;
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using System.Runtime.CompilerServices;
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namespace QuanTAlib;
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/// <summary>
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@@ -40,13 +40,18 @@ namespace QuanTAlib;
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/// Note: Particularly useful for price level analysis
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/// </remarks>
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public class Mode : AbstractBase
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[SkipLocalsInit]
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public sealed class Mode : AbstractBase
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{
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private readonly int Period;
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private readonly CircularBuffer _buffer;
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private readonly Dictionary<double, int> _frequencies;
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private readonly List<double> _modes;
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private const double Epsilon = 1e-10;
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/// <param name="period">The number of points to consider for mode calculation.</param>
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/// <exception cref="ArgumentOutOfRangeException">Thrown when period is less than 1.</exception>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Mode(int period)
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{
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if (period < 1)
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@@ -56,24 +61,31 @@ public class Mode : AbstractBase
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Period = period;
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WarmupPeriod = period;
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_buffer = new CircularBuffer(period);
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_frequencies = new Dictionary<double, int>();
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_modes = new List<double>();
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Name = $"Mode(period={period})";
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Init();
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}
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/// <param name="source">The data source object that publishes updates.</param>
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/// <param name="period">The number of points to consider for mode calculation.</param>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Mode(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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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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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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_frequencies.Clear();
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_modes.Clear();
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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protected override void ManageState(bool isNew)
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{
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if (isNew)
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@@ -83,6 +95,49 @@ public class Mode : AbstractBase
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private void CountFrequencies(ReadOnlySpan<double> values)
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{
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_frequencies.Clear();
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for (int i = 0; i < values.Length; i++)
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{
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_frequencies[values[i]] = _frequencies.TryGetValue(values[i], out int count) ? count + 1 : 1;
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private void FindModes()
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{
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_modes.Clear();
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int maxCount = 0;
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foreach (var kvp in _frequencies)
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{
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if (kvp.Value > maxCount)
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{
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maxCount = kvp.Value;
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_modes.Clear();
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_modes.Add(kvp.Key);
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}
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else if (kvp.Value == maxCount)
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{
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_modes.Add(kvp.Key);
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}
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private double CalculateAverageMode()
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{
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double sum = 0;
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for (int i = 0; i < _modes.Count; i++)
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{
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sum += _modes[i];
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}
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return sum / _modes.Count;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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protected override double Calculation()
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{
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ManageState(Input.IsNew);
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@@ -91,21 +146,10 @@ public class Mode : AbstractBase
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double mode;
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if (_index >= Period)
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{
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// Group values by frequency and order by count
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var values = _buffer.GetSpan().ToArray();
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var groupedValues = values.GroupBy(v => v)
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.OrderByDescending(g => g.Count())
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.ThenBy(g => g.Key)
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.ToList();
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// Find all values with highest frequency
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int maxCount = groupedValues.First().Count();
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var modes = groupedValues.TakeWhile(g => g.Count() == maxCount)
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.Select(g => g.Key)
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.ToList();
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// Average multiple modes if present
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mode = modes.Average();
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ReadOnlySpan<double> values = _buffer.GetSpan();
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CountFrequencies(values);
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FindModes();
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mode = CalculateAverageMode();
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}
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else
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{
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