mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-01 03:07:43 +00:00
6f0a339c9b
- Sar.Quantower.Tests.cs: add missing opening quote on string literal (line 48) - Exports.cs: rename Correlation.Batch → Correl.Batch (CS0103) - Ad.Validation.Tests.cs: fix Ooples OutputValues key "Ad" → "Adl"
413 lines
13 KiB
C#
413 lines
13 KiB
C#
using System.Buffers;
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using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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namespace QuanTAlib;
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/// <summary>
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/// KC: Keltner Channel
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/// A volatility-based envelope using EMA as the middle line and ATR for band width.
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/// Middle = EMA(source, period) with warmup compensation
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/// Upper = Middle + (multiplier × ATR)
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/// Lower = Middle - (multiplier × ATR)
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/// ATR uses RMA (Wilder's smoothing) with warmup compensation.
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/// </summary>
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[SkipLocalsInit]
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public sealed class Kc : ITValuePublisher
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{
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private readonly int _period;
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private readonly double _multiplier;
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private readonly double _emaAlpha;
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private readonly double _atrAlpha;
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[StructLayout(LayoutKind.Auto)]
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private record struct State(
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double EmaSum,
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double EmaWeight,
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double RawRma,
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double E,
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double PrevClose,
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double LastValidClose,
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double LastValidHigh,
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double LastValidLow,
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int Bars,
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bool IsHot);
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private State _state;
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private State _p_state;
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private readonly TBarPublishedHandler _barHandler;
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private const double Epsilon = 1e-10;
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public string Name { get; }
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public int WarmupPeriod { get; }
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public TValue Last { get; private set; }
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public TValue Upper { get; private set; }
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public TValue Lower { get; private set; }
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public bool IsHot => _state.IsHot;
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public event TValuePublishedHandler? Pub;
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public Kc(int period = 20, double multiplier = 2.0)
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{
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if (period < 1)
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{
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throw new ArgumentOutOfRangeException(nameof(period), "Period must be >= 1.");
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}
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if (multiplier <= 0.0)
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{
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throw new ArgumentOutOfRangeException(nameof(multiplier), "Multiplier must be > 0.");
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}
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_period = period;
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_multiplier = multiplier;
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_emaAlpha = 2.0 / (period + 1);
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_atrAlpha = 1.0 / period;
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WarmupPeriod = period * 2;
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Name = $"Kc({period},{multiplier})";
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_barHandler = HandleBar;
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Reset();
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}
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public Kc(TBarSeries source, int period = 20, double multiplier = 2.0) : this(period, multiplier)
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{
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Prime(source);
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source.Pub += _barHandler;
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}
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private void HandleBar(object? sender, in TBarEventArgs e) => Update(e.Value, e.IsNew);
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private void PubEvent(TValue value, bool isNew = true) =>
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Pub?.Invoke(this, new TValueEventArgs { Value = value, IsNew = isNew });
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public void Reset()
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{
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_state = new State(0, 0, 0, 1.0, double.NaN, double.NaN, double.NaN, double.NaN, 0, false);
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_p_state = _state;
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Last = default;
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Upper = default;
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Lower = default;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private (double close, double high, double low) GetValid(double close, double high, double low)
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{
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if (double.IsFinite(close))
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{
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_state = _state with { LastValidClose = close };
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}
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else if (double.IsFinite(_state.LastValidClose))
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{
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close = _state.LastValidClose;
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}
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else
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{
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// Neither input nor stored value is finite - use safe default
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close = 0.0;
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}
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if (double.IsFinite(high))
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{
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_state = _state with { LastValidHigh = high };
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}
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else if (double.IsFinite(_state.LastValidHigh))
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{
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high = _state.LastValidHigh;
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}
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else
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{
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// Neither input nor stored value is finite - use safe default
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high = 0.0;
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}
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if (double.IsFinite(low))
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{
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_state = _state with { LastValidLow = low };
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}
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else if (double.IsFinite(_state.LastValidLow))
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{
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low = _state.LastValidLow;
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}
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else
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{
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// Neither input nor stored value is finite - use safe default
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low = 0.0;
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}
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return (close, high, low);
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}
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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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if (isNew)
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{
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_p_state = _state;
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}
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else
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{
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_state = _p_state;
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}
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var (close, high, low) = GetValid(input.Close, input.High, input.Low);
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// Handle first bar
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if (_state.Bars == 0)
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{
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_state = _state with
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{
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EmaSum = close,
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EmaWeight = 1.0,
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RawRma = 0.0,
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E = 1.0,
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PrevClose = close,
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Bars = 1
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};
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double ema = close;
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Last = new TValue(input.Time, ema);
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Upper = new TValue(input.Time, ema);
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Lower = new TValue(input.Time, ema);
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PubEvent(Last, isNew);
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return Last;
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}
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if (isNew)
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{
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_state = _state with { Bars = _state.Bars + 1 };
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}
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// EMA with warmup compensation (sum/weight approach)
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double newSum = Math.FusedMultiplyAdd(_state.EmaSum, 1.0 - _emaAlpha, close * _emaAlpha);
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double newWeight = Math.FusedMultiplyAdd(_state.EmaWeight, 1.0 - _emaAlpha, _emaAlpha);
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double emaValue = newSum / newWeight;
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// True Range
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double prevClose = _state.PrevClose;
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double tr1 = high - low;
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double tr2 = Math.Abs(high - prevClose);
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double tr3 = Math.Abs(low - prevClose);
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double trueRange = Math.Max(tr1, Math.Max(tr2, tr3));
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// ATR using RMA with warmup compensation
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double newRawRma = (_state.RawRma * (_period - 1) + trueRange) / _period;
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double newE = (1.0 - _atrAlpha) * _state.E;
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double atrValue = newE > Epsilon ? newRawRma / (1.0 - newE) : newRawRma;
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// Update state
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_state = _state with
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{
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EmaSum = newSum,
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EmaWeight = newWeight,
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RawRma = newRawRma,
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E = newE,
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PrevClose = close
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};
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// Calculate bands
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double width = _multiplier * atrValue;
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double upper = emaValue + width;
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double lower = emaValue - width;
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if (!_state.IsHot && _state.Bars >= WarmupPeriod)
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{
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_state = _state with { IsHot = true };
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}
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Last = new TValue(input.Time, emaValue);
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Upper = new TValue(input.Time, upper);
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Lower = new TValue(input.Time, lower);
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PubEvent(Last, isNew);
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return Last;
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}
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public (TSeries Middle, TSeries Upper, TSeries Lower) Update(TBarSeries source)
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{
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if (source.Count == 0)
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{
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return (new TSeries([], []), new TSeries([], []), new TSeries([], []));
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}
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int len = source.Count;
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var tMiddle = new List<long>(len);
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var vMiddle = new List<double>(len);
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var tUpper = new List<long>(len);
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var vUpper = new List<double>(len);
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var tLower = new List<long>(len);
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var vLower = new List<double>(len);
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CollectionsMarshal.SetCount(tMiddle, len);
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CollectionsMarshal.SetCount(vMiddle, len);
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CollectionsMarshal.SetCount(tUpper, len);
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CollectionsMarshal.SetCount(vUpper, len);
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CollectionsMarshal.SetCount(tLower, len);
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CollectionsMarshal.SetCount(vLower, len);
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var tSpan = CollectionsMarshal.AsSpan(tMiddle);
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var vMiddleSpan = CollectionsMarshal.AsSpan(vMiddle);
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var vUpperSpan = CollectionsMarshal.AsSpan(vUpper);
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var vLowerSpan = CollectionsMarshal.AsSpan(vLower);
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Batch(source.HighValues, source.LowValues, source.CloseValues,
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vMiddleSpan, vUpperSpan, vLowerSpan, _period, _multiplier);
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source.Times.CopyTo(tSpan);
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tSpan.CopyTo(CollectionsMarshal.AsSpan(tUpper));
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tSpan.CopyTo(CollectionsMarshal.AsSpan(tLower));
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// Prime internal state for continued streaming
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Prime(source);
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var lastTime = new DateTime(source.Times[^1], DateTimeKind.Utc);
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Last = new TValue(lastTime, vMiddleSpan[^1]);
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Upper = new TValue(lastTime, vUpperSpan[^1]);
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Lower = new TValue(lastTime, vLowerSpan[^1]);
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return (new TSeries(tMiddle, vMiddle), new TSeries(tUpper, vUpper), new TSeries(tLower, vLower));
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}
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public void Prime(TBarSeries source)
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{
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Reset();
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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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for (int i = 0; i < source.Count; i++)
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{
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Update(source[i], isNew: true);
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}
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}
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/// <summary>
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/// Batch calculation using spans (zero allocation).
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/// </summary>
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public static void Batch(
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ReadOnlySpan<double> high,
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ReadOnlySpan<double> low,
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ReadOnlySpan<double> close,
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Span<double> middle,
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Span<double> upper,
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Span<double> lower,
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int period,
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double multiplier = 2.0)
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{
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if (period < 1)
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{
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throw new ArgumentOutOfRangeException(nameof(period), "Period must be >= 1.");
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}
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if (multiplier <= 0.0)
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{
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throw new ArgumentOutOfRangeException(nameof(multiplier), "Multiplier must be > 0.");
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}
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if (high.Length != low.Length || high.Length != close.Length)
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{
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throw new ArgumentException("High, Low, and Close spans must have the same length", nameof(high));
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}
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if (middle.Length < high.Length || upper.Length < high.Length || lower.Length < high.Length)
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{
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throw new ArgumentException("Output spans must be at least as long as inputs", nameof(middle));
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}
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int len = high.Length;
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if (len == 0)
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{
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return;
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}
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double emaAlpha = 2.0 / (period + 1);
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double atrAlpha = 1.0 / period;
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double emaSum = close[0];
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double emaWeight = 1.0;
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double rawRma = 0.0;
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double e = 1.0;
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double prevClose = close[0];
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// First bar
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middle[0] = close[0];
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upper[0] = close[0];
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lower[0] = close[0];
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for (int i = 1; i < len; i++)
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{
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double c = close[i];
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double h = high[i];
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double l = low[i];
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// EMA with warmup
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emaSum = Math.FusedMultiplyAdd(emaSum, 1.0 - emaAlpha, c * emaAlpha);
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emaWeight = Math.FusedMultiplyAdd(emaWeight, 1.0 - emaAlpha, emaAlpha);
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double ema = emaSum / emaWeight;
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// True Range
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double tr1 = h - l;
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double tr2 = Math.Abs(h - prevClose);
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double tr3 = Math.Abs(l - prevClose);
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double tr = Math.Max(tr1, Math.Max(tr2, tr3));
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// ATR (RMA with warmup)
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rawRma = (rawRma * (period - 1) + tr) / period;
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e = (1.0 - atrAlpha) * e;
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double atr = e > Epsilon ? rawRma / (1.0 - e) : rawRma;
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prevClose = c;
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double width = multiplier * atr;
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middle[i] = ema;
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upper[i] = ema + width;
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lower[i] = ema - width;
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}
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}
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public static (TSeries Middle, TSeries Upper, TSeries Lower) Batch(TBarSeries source, int period = 20, double multiplier = 2.0)
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{
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int len = source.Count;
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var tMiddle = new List<long>(len);
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var vMiddle = new List<double>(len);
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var tUpper = new List<long>(len);
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var vUpper = new List<double>(len);
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var tLower = new List<long>(len);
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var vLower = new List<double>(len);
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CollectionsMarshal.SetCount(tMiddle, len);
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CollectionsMarshal.SetCount(vMiddle, len);
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CollectionsMarshal.SetCount(tUpper, len);
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CollectionsMarshal.SetCount(vUpper, len);
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CollectionsMarshal.SetCount(tLower, len);
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CollectionsMarshal.SetCount(vLower, len);
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Batch(source.HighValues, source.LowValues, source.CloseValues,
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CollectionsMarshal.AsSpan(vMiddle),
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CollectionsMarshal.AsSpan(vUpper),
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CollectionsMarshal.AsSpan(vLower),
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period, multiplier);
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source.Times.CopyTo(CollectionsMarshal.AsSpan(tMiddle));
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CollectionsMarshal.AsSpan(tMiddle).CopyTo(CollectionsMarshal.AsSpan(tUpper));
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CollectionsMarshal.AsSpan(tMiddle).CopyTo(CollectionsMarshal.AsSpan(tLower));
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return (new TSeries(tMiddle, vMiddle), new TSeries(tUpper, vUpper), new TSeries(tLower, vLower));
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}
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public static ((TSeries Middle, TSeries Upper, TSeries Lower) Results, Kc Indicator) Calculate(TBarSeries source, int period = 20, double multiplier = 2.0)
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{
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var indicator = new Kc(source, period, multiplier);
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var results = indicator.Update(source);
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return (results, indicator);
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}
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}
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