mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-30 02:27:43 +00:00
233 lines
6.5 KiB
C#
233 lines
6.5 KiB
C#
using System.Runtime.CompilerServices;
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namespace QuanTAlib;
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/// <summary>
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/// ADR: Average Daily Range
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/// </summary>
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/// <remarks>
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/// Smoothed average of High-Low ranges; simpler than ATR (no gap accounting).
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/// Supports SMA/EMA/WMA smoothing methods.
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///
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/// Calculation: <c>ADR = MA(High - Low, period)</c>.
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/// </remarks>
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/// <seealso href="Adr.md">Detailed documentation</seealso>
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[SkipLocalsInit]
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public sealed class Adr : AbstractBase
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{
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private readonly AbstractBase _ma;
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private ITValuePublisher? _source;
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private bool _disposed;
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/// <summary>
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/// Creates ADR with specified period and smoothing method.
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/// </summary>
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/// <param name="period">Period for ADR calculation (must be > 0)</param>
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/// <param name="method">Smoothing method (default: SMA)</param>
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public Adr(int period, AdrMethod method = AdrMethod.Sma)
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{
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if (period <= 0)
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{
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throw new ArgumentException("Period must be greater than 0", nameof(period));
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}
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_ma = method switch
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{
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AdrMethod.Sma => new Sma(period),
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AdrMethod.Ema => new Ema(period),
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AdrMethod.Wma => new Wma(period),
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_ => throw new ArgumentException($"Invalid smoothing method: {method}", nameof(method))
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};
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Name = $"Adr({period},{method})";
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WarmupPeriod = _ma.WarmupPeriod;
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}
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/// <summary>
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/// Creates ADR with specified source, period, and smoothing method.
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/// </summary>
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/// <param name="source">Source to subscribe to</param>
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/// <param name="period">Period for ADR calculation</param>
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/// <param name="method">Smoothing method (default: SMA)</param>
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public Adr(ITValuePublisher source, int period, AdrMethod method = AdrMethod.Sma) : this(period, method)
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{
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_source = source;
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source.Pub += Handle;
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}
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/// <summary>
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/// Creates ADR from a TBarSeries.
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/// </summary>
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/// <param name="source">Bar series source</param>
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/// <param name="period">Period for ADR calculation</param>
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/// <param name="method">Smoothing method (default: SMA)</param>
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public Adr(TBarSeries source, int period, AdrMethod method = AdrMethod.Sma) : this(period, method)
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{
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var ranges = CalculateRanges(source);
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_ma.Prime(ranges.Values);
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Last = _ma.Last;
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}
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private void Handle(object? sender, in TValueEventArgs e) => Update(e.Value, e.IsNew);
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/// <summary>
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/// True if the ADR has warmed up and is providing valid results.
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/// </summary>
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public override bool IsHot => _ma.IsHot;
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/// <summary>
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/// Initializes the indicator state using the provided history.
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/// Note: ADR needs OHLCV data to calculate range properly.
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/// This Prime method expects pre-calculated range values.
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/// </summary>
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public override void Prime(ReadOnlySpan<double> source, TimeSpan? step = null)
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{
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_ma.Prime(source);
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Last = _ma.Last;
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}
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/// <summary>
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/// Resets the ADR state.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public override void Reset()
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{
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_ma.Reset();
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Last = default;
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}
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/// <summary>
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/// Updates ADR with a new bar.
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/// </summary>
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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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double range = input.High - input.Low;
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// Handle invalid range values
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if (!double.IsFinite(range) || range < 0)
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{
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range = 0;
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}
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TValue result = _ma.Update(new TValue(input.Time, range), isNew);
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Last = result;
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PubEvent(Last, isNew);
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return result;
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}
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/// <summary>
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/// Updates ADR with a TValue input.
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/// This treats the input value as the range itself.
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/// </summary>
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public override TValue Update(TValue input, bool isNew = true)
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{
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TValue result = _ma.Update(input, isNew);
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Last = result;
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PubEvent(Last, isNew);
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return result;
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}
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/// <summary>
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/// Updates ADR from a TBarSeries.
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/// </summary>
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public TSeries Update(TBarSeries source)
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{
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if (source.Count == 0)
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{
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return [];
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}
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// Calculate range series
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TSeries rangeSeries = CalculateRanges(source);
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// Run MA on ranges
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var result = _ma.Update(rangeSeries);
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Last = _ma.Last;
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return result;
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}
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/// <summary>
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/// Updates ADR from a TSeries (assumes values are already ranges).
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/// </summary>
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public override TSeries Update(TSeries source)
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{
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var result = _ma.Update(source);
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Last = _ma.Last;
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return result;
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}
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/// <summary>
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/// Disposes the ADR and unsubscribes from the source.
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/// </summary>
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protected override void Dispose(bool disposing)
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{
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if (!_disposed)
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{
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if (disposing && _source != null)
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{
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_source.Pub -= Handle;
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_source = null;
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}
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_disposed = true;
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}
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base.Dispose(disposing);
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}
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/// <summary>
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/// Calculates High-Low ranges from bar series.
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/// </summary>
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private static TSeries CalculateRanges(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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for (int i = 0; i < source.Count; i++)
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{
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var bar = source[i];
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double range = bar.High - bar.Low;
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// Handle invalid values
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if (!double.IsFinite(range) || range < 0)
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{
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range = 0;
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}
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t.Add(bar.Time);
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v.Add(range);
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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 ADR for the entire series using a new instance.
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/// </summary>
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public static TSeries Batch(TBarSeries source, int period, AdrMethod method = AdrMethod.Sma)
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{
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var adr = new Adr(period, method);
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return adr.Update(source);
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}
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public static (TSeries Results, Adr Indicator) Calculate(TBarSeries source, int period, AdrMethod method = AdrMethod.Sma)
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{
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var indicator = new Adr(period, method);
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TSeries results = indicator.Update(source);
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return (results, indicator);
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}
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}
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/// <summary>
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/// Smoothing method for ADR calculation.
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/// </summary>
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public enum AdrMethod
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{
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/// <summary>Simple Moving Average</summary>
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Sma = 1,
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/// <summary>Exponential Moving Average</summary>
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Ema = 2,
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/// <summary>Weighted Moving Average</summary>
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Wma = 3
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}
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