mirror of
https://github.com/mihakralj/QuanTAlib.git
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70 lines
2.0 KiB
C#
70 lines
2.0 KiB
C#
using System.CommandLine.Rendering.Views;
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namespace QuanTAlib;
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public class GbmFeed : TBarSeries
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{
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private readonly double _mu, _sigma;
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private readonly Random _random;
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private double _lastClose, _lastHigh, _lastLow;
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public GbmFeed(double initialPrice = 100.0, double mu = 0.05, double sigma = 0.2) : base()
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{
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_lastClose = _lastHigh = _lastLow = initialPrice;
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_mu = mu;
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_sigma = sigma;
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_random = new Random((int)DateTime.Now.Ticks);
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this.Name = $"GBM({_sigma:F2})";
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}
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public void Add(bool isNew = true) => Add(time: DateTime.Now, isNew: isNew);
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public void Add(DateTime time, bool isNew = true) => base.Add(Generate(time, isNew));
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public void Add(int count)
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{
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DateTime startTime = DateTime.UtcNow - TimeSpan.FromHours(count);
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TBar lastBar = new();
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for (int i = 0; i < count; i++)
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{
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Add(startTime, true);
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Add(startTime, false);
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Add(startTime, false);
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startTime = startTime.AddHours(1);
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}
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}
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public TBar Generate(DateTime time, bool isNew = true)
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{
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double dt = 1.0 / 252;
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double drift = (_mu - 0.5 * _sigma * _sigma) * dt;
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double diffusion = _sigma * Math.Sqrt(dt) * GenerateNormalRandom();
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double newClose = _lastClose * Math.Exp(drift + diffusion);
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double open = _lastClose;
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double high = Math.Max(_lastHigh, Math.Max(open, newClose) * (1 + _random.NextDouble() * 0.01));
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double low = Math.Min(_lastLow, Math.Min(open, newClose) * (1 - _random.NextDouble() * 0.01));
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double volume = 1000 + _random.NextDouble() * 1000;
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if (isNew)
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{
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_lastClose = newClose;
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}
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else
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{
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high = Math.Max(_lastHigh, high);
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low = Math.Min(_lastLow, low);
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}
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_lastHigh = high;
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_lastLow = low;
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TBar bar = new(time, open, high, low, newClose, volume, isNew);
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return bar;
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}
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private double GenerateNormalRandom()
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{
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// Box-Muller transform to generate standard normal random variable
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double u1 = 1.0 - _random.NextDouble(); // Uniform(0,1] random doubles
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double u2 = 1.0 - _random.NextDouble();
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return Math.Sqrt(-2.0 * Math.Log(u1)) * Math.Sin(2.0 * Math.PI * u2);
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}
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} |