mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-13 08:08:05 +00:00
- Added detailed comments explaining the validation limitations for MMA and ZLEMA due to differences in algorithm implementations. - Implemented validation tests for True Range against TALib and Tulip, ensuring directional agreement. - Updated Ulcer Index validation to clarify differences in algorithmic approaches between QuanTAlib and Skender. - Enhanced Ease of Movement tests to verify directional agreement with Tulip's EMV, noting differences in volume scaling. - Expanded Klinger Volume Oscillator tests to validate against Skender and Tulip, focusing on directional agreement across multiple period configurations. - Improved Negative Volume Index tests to compare percentage changes with Tulip, addressing differences in starting values. - Updated Positive Volume Index tests to validate against Tulip, emphasizing percentage change comparisons. - Enhanced Williams Accumulation/Distribution tests to verify directional agreement with Tulip, highlighting formula differences.
281 lines
8.9 KiB
C#
281 lines
8.9 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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/// Computes the Percentage Price Oscillator (PPO), which measures the percentage difference
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/// between a fast and slow exponential moving average.
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/// </summary>
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/// <remarks>
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/// PPO Formula:
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/// <c>PPO = 100 × (FastEMA - SlowEMA) / SlowEMA</c>.
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///
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/// PPO is similar to MACD but normalized as a percentage, enabling comparison across
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/// different price levels. Positive values indicate the fast EMA is above the slow EMA.
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/// This implementation uses compensated EMAs for warmup accuracy and FMA for performance.
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/// Non-finite inputs (NaN/±Inf) are sanitized by substituting the last finite value observed.
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///
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/// For the authoritative algorithm reference, full rationale, and behavioral contracts, see the
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/// companion files in the same directory.
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/// </remarks>
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/// <seealso href="ppo.pine">Reference Pine Script implementation</seealso>
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[SkipLocalsInit]
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public sealed class Ppo : AbstractBase
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{
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private const int DefaultFastPeriod = 12;
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private const int DefaultSlowPeriod = 26;
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private const int DefaultSignalPeriod = 9;
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private readonly Ema _fastEma;
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private readonly Ema _slowEma;
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private readonly Ema _signalEma;
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private record struct State(double LastValid);
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private State _state, _p_state;
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private ITValuePublisher? _source;
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private bool _disposed;
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/// <summary>
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/// Gets the most recent signal line value (EMA of PPO line).
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/// </summary>
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public TValue Signal { get; private set; }
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/// <summary>
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/// Gets the most recent histogram value (PPO - Signal).
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/// </summary>
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public TValue Histogram { get; private set; }
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/// <summary>
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/// True when both fast and slow EMAs have warmed up.
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/// </summary>
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public override bool IsHot => _fastEma.IsHot && _slowEma.IsHot;
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/// <summary>
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/// Initializes a new PPO indicator.
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/// </summary>
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/// <param name="fastPeriod">Fast EMA period (must be >= 1)</param>
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/// <param name="slowPeriod">Slow EMA period (must be >= 1 and > fastPeriod)</param>
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/// <param name="signalPeriod">Signal line EMA period (must be >= 1)</param>
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public Ppo(int fastPeriod = DefaultFastPeriod, int slowPeriod = DefaultSlowPeriod, int signalPeriod = DefaultSignalPeriod)
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{
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if (fastPeriod < 1)
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{
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throw new ArgumentException("Fast period must be >= 1", nameof(fastPeriod));
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}
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if (slowPeriod < 1)
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{
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throw new ArgumentException("Slow period must be >= 1", nameof(slowPeriod));
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}
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if (signalPeriod < 1)
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{
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throw new ArgumentException("Signal period must be >= 1", nameof(signalPeriod));
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}
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if (fastPeriod >= slowPeriod)
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{
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throw new ArgumentException("Fast period must be less than slow period", nameof(fastPeriod));
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}
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_fastEma = new Ema(fastPeriod);
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_slowEma = new Ema(slowPeriod);
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_signalEma = new Ema(signalPeriod);
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Name = $"Ppo({fastPeriod},{slowPeriod},{signalPeriod})";
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WarmupPeriod = slowPeriod + signalPeriod;
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}
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/// <summary>
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/// Initializes a new PPO indicator with source for event-based chaining.
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/// </summary>
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public Ppo(ITValuePublisher source, int fastPeriod = DefaultFastPeriod, int slowPeriod = DefaultSlowPeriod, int signalPeriod = DefaultSignalPeriod)
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: this(fastPeriod, slowPeriod, signalPeriod)
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{
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_source = source;
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_source.Pub += HandleUpdate;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private void HandleUpdate(object? sender, in TValueEventArgs e) => Update(e.Value, e.IsNew);
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public override TValue Update(TValue 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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double value = double.IsFinite(input.Value) ? input.Value : _state.LastValid;
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_state = new State(value);
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var safeInput = new TValue(input.Time, value);
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var fast = _fastEma.Update(safeInput, isNew);
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var slow = _slowEma.Update(safeInput, isNew);
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// PPO = 100 * (FastEMA - SlowEMA) / SlowEMA
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double ppoValue = slow.Value != 0.0
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? 100.0 * (fast.Value - slow.Value) / slow.Value
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: 0.0;
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var ppoTValue = new TValue(input.Time, ppoValue);
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var signal = _signalEma.Update(ppoTValue, isNew);
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double histValue = ppoValue - signal.Value;
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Last = ppoTValue;
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Signal = signal;
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Histogram = new TValue(input.Time, histValue);
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PubEvent(Last, isNew);
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return Last;
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}
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public override TSeries Update(TSeries 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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int len = source.Count;
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var t = new List<long>(len);
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var v = new List<double>(len);
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CollectionsMarshal.SetCount(t, len);
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CollectionsMarshal.SetCount(v, len);
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var tSpan = CollectionsMarshal.AsSpan(t);
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var vSpan = CollectionsMarshal.AsSpan(v);
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Reset();
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for (int i = 0; i < len; i++)
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{
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Update(new TValue(new DateTime(source.Times[i], DateTimeKind.Utc), source.Values[i]), true);
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tSpan[i] = source.Times[i];
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vSpan[i] = Last.Value;
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}
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_p_state = _state;
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return new TSeries(t, v);
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}
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public override void Prime(ReadOnlySpan<double> source, TimeSpan? step = null)
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{
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TimeSpan interval = step ?? TimeSpan.FromSeconds(1);
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DateTime time = DateTime.UtcNow - (interval * source.Length);
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for (int i = 0; i < source.Length; i++)
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{
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Update(new TValue(time, source[i]), true);
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time += interval;
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}
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}
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public static TSeries Batch(TSeries source, int fastPeriod = DefaultFastPeriod, int slowPeriod = DefaultSlowPeriod, int signalPeriod = DefaultSignalPeriod)
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{
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var indicator = new Ppo(fastPeriod, slowPeriod, signalPeriod);
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return indicator.Update(source);
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}
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/// <summary>
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/// Calculates PPO line over a span of values.
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/// Zero-allocation method for maximum performance.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Batch(ReadOnlySpan<double> source, Span<double> destination, int fastPeriod = DefaultFastPeriod, int slowPeriod = DefaultSlowPeriod)
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{
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if (source.Length != destination.Length)
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{
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throw new ArgumentException("Source and destination must be same length", nameof(destination));
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}
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if (fastPeriod < 1)
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{
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throw new ArgumentException("Fast period must be >= 1", nameof(fastPeriod));
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}
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if (slowPeriod < 1)
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{
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throw new ArgumentException("Slow period must be >= 1", nameof(slowPeriod));
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}
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if (fastPeriod >= slowPeriod)
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{
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throw new ArgumentException("Fast period must be less than slow period", nameof(fastPeriod));
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}
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int len = source.Length;
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double[] fastBuffer = ArrayPool<double>.Shared.Rent(len);
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double[] slowBuffer = ArrayPool<double>.Shared.Rent(len);
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try
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{
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Span<double> fastSpan = fastBuffer.AsSpan(0, len);
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Span<double> slowSpan = slowBuffer.AsSpan(0, len);
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Ema.Batch(source, fastSpan, fastPeriod);
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Ema.Batch(source, slowSpan, slowPeriod);
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for (int i = 0; i < len; i++)
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{
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destination[i] = slowSpan[i] != 0.0
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? 100.0 * (fastSpan[i] - slowSpan[i]) / slowSpan[i]
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: 0.0;
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}
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}
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finally
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{
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ArrayPool<double>.Shared.Return(fastBuffer);
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ArrayPool<double>.Shared.Return(slowBuffer);
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}
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}
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public static (TSeries Results, Ppo Indicator) Calculate(TSeries source, int fastPeriod = DefaultFastPeriod, int slowPeriod = DefaultSlowPeriod, int signalPeriod = DefaultSignalPeriod)
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{
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var indicator = new Ppo(fastPeriod, slowPeriod, signalPeriod);
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TSeries results = indicator.Update(source);
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return (results, indicator);
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}
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public override void Reset()
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{
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_fastEma.Reset();
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_slowEma.Reset();
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_signalEma.Reset();
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_state = default;
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_p_state = default;
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Last = default;
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Signal = default;
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Histogram = default;
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}
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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)
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{
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if (_source != null)
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{
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_source.Pub -= HandleUpdate;
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_source = null;
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}
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_fastEma.Dispose();
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_slowEma.Dispose();
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_signalEma.Dispose();
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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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}
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