mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-06 13:07:44 +00:00
272 lines
9.1 KiB
C#
272 lines
9.1 KiB
C#
using System.Runtime.CompilerServices;
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namespace QuanTAlib;
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/// <summary>
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/// ADOSC: Accumulation/Distribution Oscillator (Chaikin Oscillator)
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/// </summary>
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/// <remarks>
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/// The Chaikin Oscillator is a momentum indicator for the Accumulation/Distribution Line (ADL).
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/// It calculates the difference between two Exponential Moving Averages (EMAs) of the ADL.
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///
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/// Calculation:
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/// ADOSC = EMA(Fast, ADL) - EMA(Slow, ADL)
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///
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/// Standard Parameters:
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/// Fast Period: 3
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/// Slow Period: 10
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///
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/// Sources:
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/// https://www.investopedia.com/terms/c/chaikinoscillator.asp
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/// https://school.stockcharts.com/doku.php?id=technical_indicators:chaikin_oscillator
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Adosc : ITValuePublisher
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{
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private readonly Adl _adl;
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private readonly Ema _emaFast;
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private readonly Ema _emaSlow;
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/// <summary>
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/// Display name for the indicator.
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/// </summary>
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public string Name { get; }
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public event TValuePublishedHandler? Pub;
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/// <summary>
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/// Current ADOSC value.
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/// </summary>
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public TValue Last { get; private set; }
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/// <summary>
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/// True if the indicator has enough data to produce valid results.
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/// </summary>
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public bool IsHot => _emaSlow.IsHot;
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/// <summary>
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/// The number of bars required to warm up the indicator.
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/// </summary>
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public int WarmupPeriod { get; }
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/// <summary>
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/// Creates ADOSC with specified periods.
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/// </summary>
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/// <param name="fastPeriod">Fast EMA period (default 3)</param>
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/// <param name="slowPeriod">Slow EMA period (default 10)</param>
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public Adosc(int fastPeriod = 3, int slowPeriod = 10)
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{
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if (fastPeriod <= 0)
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throw new ArgumentException("Fast period must be greater than 0", nameof(fastPeriod));
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if (slowPeriod <= 0)
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throw new ArgumentException("Slow period must be greater than 0", nameof(slowPeriod));
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if (fastPeriod >= slowPeriod)
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throw new ArgumentException("Fast period must be less than slow period", nameof(fastPeriod));
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_adl = new Adl();
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_emaFast = new Ema(fastPeriod);
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_emaSlow = new Ema(slowPeriod);
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WarmupPeriod = slowPeriod;
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Name = $"Adosc({fastPeriod},{slowPeriod})";
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}
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/// <summary>
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/// Resets the indicator state.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public void Reset()
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{
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_adl.Reset();
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_emaFast.Reset();
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_emaSlow.Reset();
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Last = default;
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}
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/// <summary>
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/// Updates the indicator with a new ADL value.
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/// </summary>
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/// <param name="input">The new ADL value</param>
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/// <param name="isNew">Whether this is a new value or an update to the last value</param>
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/// <returns>The updated ADOSC value</returns>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public TValue Update(TValue input, bool isNew = true)
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{
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var eFast = _emaFast.Update(input, isNew);
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var eSlow = _emaSlow.Update(input, isNew);
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double adosc = eFast.Value - eSlow.Value;
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Last = new TValue(input.Time, adosc);
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Pub?.Invoke(this, new TValueEventArgs { Value = Last, IsNew = isNew });
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return Last;
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}
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/// <summary>
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/// Updates the indicator with a new bar.
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/// </summary>
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/// <param name="input">The new bar data</param>
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/// <param name="isNew">Whether this is a new bar or an update to the last bar</param>
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/// <returns>The updated ADOSC value</returns>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public TValue Update(TBar input, bool isNew = true)
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{
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var adl = _adl.Update(input, isNew);
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return Update(adl, isNew);
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}
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/// <summary>
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/// Updates the indicator with a series of bars.
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/// </summary>
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/// <param name="source">The source series of bars</param>
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/// <returns>The ADOSC series</returns>
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public TSeries Update(TBarSeries source)
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{
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var t = new List<long>(source.Count);
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var v = new List<double>(source.Count);
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Reset();
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for (int i = 0; i < source.Count; i++)
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{
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var val = Update(source[i], isNew: true);
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t.Add(val.Time);
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v.Add(val.Value);
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}
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return new TSeries(t, v);
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}
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/// <summary>
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/// Calculates ADOSC for the entire series using a new instance.
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/// </summary>
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/// <param name="source">Input series</param>
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/// <param name="fastPeriod">Fast EMA period (default 3)</param>
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/// <param name="slowPeriod">Slow EMA period (default 10)</param>
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/// <returns>ADOSC series</returns>
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public static TSeries Batch(TBarSeries source, int fastPeriod = 3, int slowPeriod = 10)
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{
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var adosc = new Adosc(fastPeriod, slowPeriod);
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return adosc.Update(source);
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}
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// EMA compensator threshold (same as in Ema.cs)
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private const double COMPENSATOR_THRESHOLD = 1e-10;
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/// <summary>
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/// Calculates ADOSC for the entire span using a single-pass algorithm.
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/// Zero allocation for maximum performance.
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/// Uses compensator pattern from EMA for proper early-stage bias correction.
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/// </summary>
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/// <param name="high">High prices</param>
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/// <param name="low">Low prices</param>
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/// <param name="close">Close prices</param>
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/// <param name="volume">Volume</param>
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/// <param name="output">Output span</param>
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/// <param name="fastPeriod">Fast EMA period (default 3)</param>
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/// <param name="slowPeriod">Slow EMA period (default 10)</param>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Calculate(ReadOnlySpan<double> high, ReadOnlySpan<double> low, ReadOnlySpan<double> close, ReadOnlySpan<double> volume, Span<double> output, int fastPeriod = 3, int slowPeriod = 10)
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{
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if (high.Length != low.Length || high.Length != close.Length ||
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high.Length != volume.Length || high.Length != output.Length)
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{
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throw new ArgumentException("All spans must be of the same length.", nameof(output));
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}
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if (fastPeriod <= 0)
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{
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throw new ArgumentException("Fast period must be greater than 0", nameof(fastPeriod));
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}
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if (slowPeriod <= 0)
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{
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throw new ArgumentException("Slow period must be greater than 0", nameof(slowPeriod));
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}
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int len = high.Length;
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if (len == 0) return;
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// EMA parameters (same formula as Ema.cs: alpha = 2 / (period + 1))
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double alphaFast = 2.0 / (fastPeriod + 1);
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double alphaSlow = 2.0 / (slowPeriod + 1);
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double decayFast = 1.0 - alphaFast;
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double decaySlow = 1.0 - alphaSlow;
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// State variables (no heap allocations)
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double adl = 0;
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double emaFast = 0;
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double emaSlow = 0;
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double eFast = 1.0; // Compensation factor for fast EMA (starts at 1, decays toward 0)
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double eSlow = 1.0; // Compensation factor for slow EMA
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bool fastCompensated = false;
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bool slowCompensated = false;
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// Single pass: compute ADL, both EMAs, and output in one loop
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for (int i = 0; i < len; i++)
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{
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double h = high[i];
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double l = low[i];
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double c = close[i];
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double vol = volume[i];
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// 1. Compute Money Flow Multiplier and Volume
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double hl = h - l;
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double mfm = 0;
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if (hl > double.Epsilon)
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{
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mfm = (c - l - (h - c)) / hl;
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}
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double mfv = mfm * vol;
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// 2. Update ADL (cumulative)
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adl += mfv;
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// 3. Update Fast EMA with FMA (same pattern as Ema.cs Compute method)
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// state.Ema = Math.FusedMultiplyAdd(state.Ema, decay, alpha * input)
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emaFast = Math.FusedMultiplyAdd(emaFast, decayFast, alphaFast * adl);
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// 4. Update Slow EMA with FMA
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emaSlow = Math.FusedMultiplyAdd(emaSlow, decaySlow, alphaSlow * adl);
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// 5. Compute compensated EMA values (same logic as Ema.cs Compute method)
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// Compensator decays: e *= decay, then result = ema / (1 - e) until e <= threshold
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double fastValue = 0, slowValue = 0;
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if (!fastCompensated)
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{
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eFast *= decayFast;
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if (eFast <= COMPENSATOR_THRESHOLD)
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{
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fastCompensated = true;
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fastValue = emaFast;
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}
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else
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{
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fastValue = emaFast / (1.0 - eFast);
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}
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}
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else
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{
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fastValue = emaFast;
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}
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if (!slowCompensated)
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{
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eSlow *= decaySlow;
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if (eSlow <= COMPENSATOR_THRESHOLD)
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{
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slowCompensated = true;
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slowValue = emaSlow;
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}
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else
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{
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slowValue = emaSlow / (1.0 - eSlow);
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}
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}
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else
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{
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slowValue = emaSlow;
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}
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output[i] = fastValue - slowValue;
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}
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}
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}
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