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feat: Dpo, Tsi, Vortex, Bpp, Cci, Cfo, Tr, Ui, Vc, Vov, Vr, Vs, Mfi, Nvi, Obv, Pvi, Pvo, Pvol, Pvr, Pvt, Tvi
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using System.Runtime.CompilerServices;
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namespace QuanTAlib;
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/// <summary>
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/// VOV: Volatility of Volatility
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/// A technical indicator that measures the volatility of volatility itself,
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/// providing insight into the stability of market volatility.
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/// </summary>
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/// <remarks>
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/// The VOV calculation process:
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/// 1. Calculate primary volatility (e.g., using True Range)
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/// 2. Calculate standard deviation of primary volatility
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/// 3. Normalize result for comparison
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///
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/// Key characteristics:
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/// - Second-order volatility measure
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/// - Default period is 20 days
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/// - Always positive
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/// - No upper bound
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/// - Measures volatility stability
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///
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/// Formula:
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/// Primary Volatility = TR (True Range)
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/// VOV = StdDev(Primary Volatility, period) / Average(Primary Volatility, period)
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///
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/// Market Applications:
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/// - Risk of risk assessment
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/// - Volatility regime changes
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/// - Market stability analysis
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/// - Trading strategy adaptation
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/// - Risk management
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///
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/// Note: Higher values indicate more unstable volatility conditions
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Vov : AbstractBase
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{
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private readonly int _period;
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private readonly CircularBuffer _volatilities;
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private double _prevClose;
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Vov(int period = 20)
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{
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_period = period;
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WarmupPeriod = period + 1; // Need extra period for TR calculation
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Name = $"VOV({_period})";
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_volatilities = new CircularBuffer(period);
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Init();
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}
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/// <param name="source">The data source object that publishes updates.</param>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Vov(object source, int period = 20) : this(period)
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{
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var pubEvent = source.GetType().GetEvent("Pub");
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pubEvent?.AddEventHandler(source, new BarSignal(Sub));
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public override void Init()
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{
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base.Init();
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_prevClose = 0;
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_volatilities.Clear();
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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protected override void ManageState(bool isNew)
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{
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if (isNew)
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{
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_lastValidValue = Value;
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_index++;
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private double CalculateVariance(CircularBuffer buffer)
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{
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if (buffer.Count == 0) return 0;
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double mean = buffer.Average();
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double sumSquaredDiff = 0;
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for (int i = 0; i < buffer.Count; i++)
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{
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double diff = buffer[i] - mean;
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sumSquaredDiff += diff * diff;
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}
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return sumSquaredDiff / buffer.Count;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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protected override double Calculation()
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{
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ManageState(BarInput.IsNew);
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// Skip first period to establish previous close
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if (_index == 1)
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{
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_prevClose = BarInput.Close;
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return 0;
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}
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// Calculate True Range as primary volatility measure
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double tr = Math.Max(BarInput.High - BarInput.Low,
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Math.Max(Math.Abs(BarInput.High - _prevClose),
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Math.Abs(BarInput.Low - _prevClose)));
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// Store current close for next calculation
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_prevClose = BarInput.Close;
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// Add volatility to buffer
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_volatilities.Add(tr);
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// Need enough volatilities for VOV calculation
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if (_index <= _period)
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{
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return 0;
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}
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// Calculate mean volatility
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double meanVol = _volatilities.Average();
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// Calculate VOV (normalized standard deviation)
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double vov = meanVol > double.Epsilon ? Math.Sqrt(CalculateVariance(_volatilities)) / meanVol : 0;
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IsHot = _index >= WarmupPeriod;
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return vov;
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}
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}
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