mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-22 12:38:06 +00:00
177 lines
5.5 KiB
C#
177 lines
5.5 KiB
C#
using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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using System.Numerics;
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namespace QuanTAlib;
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/// <summary>
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/// BOP: Balance of Power
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/// </summary>
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/// <remarks>
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/// BOP measures the strength of buyers vs sellers by comparing the close price to the open price,
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/// relative to the high-low range.
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///
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/// Formula:
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/// BOP = (Close - Open) / (High - Low)
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///
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/// Key characteristics:
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/// - Oscillates between -1 and 1
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/// - 1 indicates buyers dominated (Close = High, Open = Low)
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/// - -1 indicates sellers dominated (Close = Low, Open = High)
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/// - 0 indicates balance (Close = Open)
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/// - Often smoothed with an SMA (though this implementation provides the raw value)
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///
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/// Sources:
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/// https://www.investopedia.com/terms/b/bop.asp
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Bop : ITValuePublisher
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{
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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 => "Bop";
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public event Action<TValue>? Pub;
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/// <summary>
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/// Current BOP 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 a valid value (always true for BOP as it has no warmup).
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/// </summary>
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public bool IsHot => true;
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/// <summary>
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/// The number of bars required for the indicator to warm up.
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/// </summary>
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public int WarmupPeriod => 0;
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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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Last = default;
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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 input bar.</param>
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/// <param name="isNew">Whether this is a new bar or an update to the current one.</param>
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/// <returns>The updated BOP 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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double range = input.High - input.Low;
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double bop = 0;
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if (range > double.Epsilon)
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{
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bop = (input.Close - input.Open) / range;
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}
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Last = new TValue(input.Time, bop);
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Pub?.Invoke(Last);
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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 value (not supported for BOP as it requires OHLC).
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/// </summary>
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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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// BOP requires OHLC, so we can't calculate it from a single value.
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// We'll treat the input value as Close, and assume Open=Close, High=Close, Low=Close,
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// which results in 0/0 -> 0.
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// Or we could throw NotSupportedException.
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// Given the interface contract, returning 0 is safer than crashing.
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Last = new TValue(input.Time, 0);
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Pub?.Invoke(Last);
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return Last;
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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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public TSeries Update(TBarSeries source)
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{
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return Batch(source);
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}
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/// <summary>
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/// Calculates BOP for a series of bars.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Calculate(ReadOnlySpan<double> open, ReadOnlySpan<double> high, ReadOnlySpan<double> low, ReadOnlySpan<double> close, Span<double> destination)
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{
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int len = Math.Min(open.Length, Math.Min(high.Length, Math.Min(low.Length, close.Length)));
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if (destination.Length < len)
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len = destination.Length;
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int i = 0;
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if (Vector.IsHardwareAccelerated && len >= Vector<double>.Count)
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{
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var epsilon = new Vector<double>(double.Epsilon);
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var vectors = len / Vector<double>.Count;
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for (int j = 0; j < vectors; j++)
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{
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var o = new Vector<double>(open.Slice(i, Vector<double>.Count));
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var h = new Vector<double>(high.Slice(i, Vector<double>.Count));
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var l = new Vector<double>(low.Slice(i, Vector<double>.Count));
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var c = new Vector<double>(close.Slice(i, Vector<double>.Count));
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var range = h - l;
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var body = c - o;
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// Create a mask where range > Epsilon
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var mask = Vector.GreaterThan(range, epsilon);
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// Perform division (results in NaN/Inf if range is 0, but we'll mask it out)
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var div = body / range;
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// Select div where mask is true, otherwise 0
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var result = Vector.ConditionalSelect(mask, div, Vector<double>.Zero);
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result.CopyTo(destination.Slice(i, Vector<double>.Count));
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i += Vector<double>.Count;
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}
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}
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for (; i < len; i++)
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{
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double range = high[i] - low[i];
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destination[i] = range > double.Epsilon ? (close[i] - open[i]) / range : 0;
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}
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}
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/// <summary>
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/// Calculates BOP for a TBarSeries.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static TSeries Batch(TBarSeries source)
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{
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if (source.Count == 0) return new TSeries([], []);
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var len = source.Count;
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var v = new double[len];
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Calculate(source.Open.Values, source.High.Values, source.Low.Values, source.Close.Values, v);
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var tList = new List<long>(len);
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var times = source.Open.Times;
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for (int i = 0; i < len; i++)
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{
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tList.Add(times[i]);
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}
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return new TSeries(tList, new List<double>(v));
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}
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}
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