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Bband, Ccv, Ce, Cv, Cvi, Ewma, Fcb, Gkv, Hlv
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using System.Runtime.CompilerServices;
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namespace QuanTAlib;
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/// <summary>
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/// EWMA: Exponential Weighted Moving Average Volatility
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/// A volatility measure that gives more weight to recent observations,
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/// calculated using squared returns and exponential weighting.
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/// </summary>
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/// <remarks>
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/// The EWMA calculation process:
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/// 1. Calculate returns: (Close[t] - Close[t-1])/Close[t-1]
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/// 2. Square returns
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/// 3. Apply exponential weighting to squared returns
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/// 4. Take square root and annualize
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///
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/// Key characteristics:
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/// - More responsive to recent volatility changes
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/// - Default decay factor (lambda) is 0.94
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/// - Default period is 20 days
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/// - Annualized by default (multiply by sqrt(252))
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/// - Expressed as a percentage
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///
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/// Formula:
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/// Returns[t] = (Close[t] - Close[t-1])/Close[t-1]
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/// EWMA[t] = λ * EWMA[t-1] + (1-λ) * Returns[t]²
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/// Volatility = sqrt(EWMA) * sqrt(252) * 100
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///
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/// Where:
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/// λ (lambda) = decay factor (typically 0.94)
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///
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/// Market Applications:
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/// - Risk measurement
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/// - Option pricing
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/// - Value at Risk (VaR)
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/// - Portfolio optimization
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/// - Volatility forecasting
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///
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/// Sources:
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/// RiskMetrics™ Technical Document (1996)
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/// https://www.msci.com/documents/10199/5915b101-4206-4ba0-aee2-3449d5c7e95a
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///
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/// Note: Returns annualized volatility as a percentage
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Ewma : AbstractBase
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{
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private readonly int _period;
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private readonly double _lambda;
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private readonly bool _annualize;
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private double _prevClose;
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private double _ewma;
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private bool _isInitialized;
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Ewma(int period = 20, double lambda = 0.94, bool annualize = true)
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{
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_period = period;
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_lambda = lambda;
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_annualize = annualize;
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WarmupPeriod = period + 1; // Need one extra period for returns
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Name = $"EWMA({_period},{_lambda})";
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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 Ewma(object source, int period = 20, double lambda = 0.94, bool annualize = true) : this(period, lambda, annualize)
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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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_ewma = 0;
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_isInitialized = false;
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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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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 return_ = (BarInput.Close - _prevClose) / _prevClose;
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double squaredReturn = return_ * return_;
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_prevClose = BarInput.Close;
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// Initialize EWMA if not done
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if (!_isInitialized && _index > _period)
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{
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_ewma = squaredReturn;
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_isInitialized = true;
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}
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// Need enough values for 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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// Update EWMA
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_ewma = _lambda * _ewma + (1 - _lambda) * squaredReturn;
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// Calculate volatility
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double volatility = Math.Sqrt(_ewma);
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// Annualize if requested
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if (_annualize)
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{
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volatility *= Math.Sqrt(252);
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}
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// Convert to percentage
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volatility *= 100;
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IsHot = _index >= WarmupPeriod;
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return volatility;
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}
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}
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