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76 lines
2.1 KiB
C#
76 lines
2.1 KiB
C#
namespace QuanTAlib;
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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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public Realized(int period, bool isAnnualized = true) : base()
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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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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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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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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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} |