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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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/// VC: Volatility Cone
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/// A technical indicator that analyzes volatility across different time periods
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/// to identify normal ranges and extreme values.
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/// </summary>
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/// <remarks>
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/// The VC calculation process:
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/// 1. Calculate volatility for the specified period
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/// 2. Track mean and standard deviation of volatility
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/// 3. Calculate upper and lower bounds:
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/// Upper = Mean + (deviations * StdDev)
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/// Lower = Mean - (deviations * StdDev)
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///
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/// Key characteristics:
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/// - Multi-period volatility analysis
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/// - Statistical approach
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/// - Default period is 20 days
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/// - Returns mean and bounds
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/// - Adaptive to market conditions
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///
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/// Formula:
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/// Volatility = StdDev(Returns) * sqrt(252) // Annualized
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/// Upper = Mean(Volatility) + (deviations * StdDev(Volatility))
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/// Lower = Mean(Volatility) - (deviations * StdDev(Volatility))
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///
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/// Market Applications:
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/// - Options trading
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/// - Risk assessment
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/// - Volatility forecasting
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/// - Trading strategy development
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/// - Market regime analysis
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///
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/// Sources:
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/// https://www.investopedia.com/terms/v/volatility-cone.asp
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///
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/// Note: Returns three values: mean volatility and its upper/lower bounds
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Vc : AbstractBase
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{
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private readonly int _period;
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private readonly double _deviations;
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private readonly CircularBuffer _returns;
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private readonly CircularBuffer _volatilities;
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private double _prevClose;
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private double _upperBound;
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private double _lowerBound;
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Vc(int period = 20, double deviations = 2.0)
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{
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_period = period;
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_deviations = deviations;
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WarmupPeriod = period * 2; // Need enough data for stable statistics
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Name = $"VC({_period},{_deviations})";
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_returns = new CircularBuffer(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 Vc(object source, int period = 20, double deviations = 2.0) : this(period, deviations)
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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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_upperBound = 0;
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_lowerBound = 0;
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_returns.Clear();
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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 return
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double ret = Math.Abs(_prevClose) > double.Epsilon ? Math.Log(BarInput.Close / _prevClose) : 0;
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_returns.Add(ret);
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// Store current close for next calculation
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_prevClose = BarInput.Close;
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// Need enough returns for volatility 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 current volatility (annualized)
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double vol = Math.Sqrt(CalculateVariance(_returns)) * Math.Sqrt(252);
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_volatilities.Add(vol);
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// Need enough volatilities for cone calculation
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if (_index <= WarmupPeriod)
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{
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return vol;
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}
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// Calculate mean and standard deviation of volatilities
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double meanVol = _volatilities.Average();
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double stdVol = Math.Sqrt(CalculateVariance(_volatilities));
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// Calculate bounds
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_upperBound = meanVol + (_deviations * stdVol);
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_lowerBound = Math.Max(0, meanVol - (_deviations * stdVol));
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IsHot = _index >= WarmupPeriod;
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return meanVol;
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}
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/// <summary>
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/// Gets the upper bound of the volatility cone
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/// </summary>
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public double UpperBound => _upperBound;
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/// <summary>
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/// Gets the lower bound of the volatility cone
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/// </summary>
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public double LowerBound => _lowerBound;
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}
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