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120 lines
4.2 KiB
C#
120 lines
4.2 KiB
C#
namespace QuanTAlib;
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/// <summary>
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/// Represents a realized volatility calculator that measures the actual price fluctuations
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/// observed in the market over a specific period.
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/// </summary>
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/// <remarks>
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/// The Realized class calculates volatility based on logarithmic returns. It can provide
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/// both annualized and non-annualized volatility measures. The calculation uses a rolling
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/// sum of squared returns for efficiency and assumes 252 trading days in a year for annualization.
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/// </remarks>
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public class Realized : AbstractBase
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{
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private readonly int Period;
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private readonly bool IsAnnualized;
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private readonly CircularBuffer _returns;
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private double _previousClose;
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private double _sumSquaredReturns;
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/// <summary>
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/// Initializes a new instance of the Realized class with the specified period and annualization flag.
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/// </summary>
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/// <param name="period">The period over which to calculate realized volatility.</param>
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/// <param name="isAnnualized">Whether to annualize the volatility (default is true).</param>
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/// <exception cref="ArgumentOutOfRangeException">
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/// Thrown when period is less than 2.
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/// </exception>
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<<<<<<< HEAD
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public Realized(int period, bool isAnnualized = true) : base()
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=======
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public Realized(int period, bool isAnnualized = true)
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>>>>>>> dev
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{
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if (period < 2)
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{
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throw new ArgumentOutOfRangeException(nameof(period), "Period must be greater than or equal to 2.");
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}
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Period = period;
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IsAnnualized = isAnnualized;
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WarmupPeriod = period + 1; // We need one extra data point to calculate the first return
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_returns = new CircularBuffer(period);
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Name = $"Realized(period={period}, annualized={isAnnualized})";
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Init();
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}
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/// <summary>
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/// Initializes the Realized instance by clearing buffers and resetting calculation variables.
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/// </summary>
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public override void Init()
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{
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base.Init();
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_returns.Clear();
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_previousClose = 0;
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_sumSquaredReturns = 0;
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}
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/// <summary>
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/// Manages the state of the Realized instance based on whether a new value is being processed.
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/// </summary>
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/// <param name="isNew">Indicates whether the current input is a new value.</param>
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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 = Input.Value;
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_index++;
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}
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}
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/// <summary>
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/// Performs the realized volatility calculation for the current period.
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/// </summary>
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/// <returns>
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/// The calculated realized volatility value for the current period.
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/// </returns>
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/// <remarks>
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/// This method calculates the volatility using the following steps:
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/// 1. Compute logarithmic returns.
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/// 2. Maintain a rolling sum of squared returns.
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/// 3. Calculate the variance using the sum of squared returns.
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/// 4. Take the square root of the variance to get volatility.
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/// 5. If annualized, multiply by the square root of 252 (assumed trading days in a year).
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/// The method returns 0 until enough data points are available for the calculation.
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/// </remarks>
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protected override double Calculation()
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{
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ManageState(Input.IsNew);
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double volatility = 0;
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if (_previousClose != 0)
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{
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double logReturn = Math.Log(Input.Value / _previousClose);
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if (_returns.Count == Period)
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{
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// Remove the oldest squared return from the sum
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_sumSquaredReturns -= Math.Pow(_returns[0], 2);
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}
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_returns.Add(logReturn, Input.IsNew);
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_sumSquaredReturns += Math.Pow(logReturn, 2);
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if (_returns.Count == Period)
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{
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double variance = _sumSquaredReturns / Period;
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volatility = Math.Sqrt(variance);
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if (IsAnnualized)
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{
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// Assuming 252 trading days in a year. Adjust as needed.
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volatility *= Math.Sqrt(252);
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}
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}
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}
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_previousClose = Input.Value;
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IsHot = _index >= WarmupPeriod;
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return volatility;
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}
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} |