mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-09 06:27:45 +00:00
d7dbd7078a
- Updated event handler signatures to use TValueEventArgs for consistency in Mama, Mgdi, Pwma, Rma, Sma, Ssf, Super, T3, Tema, Trima, Usf, Vidya, Wma, and Atr classes. - Enhanced argument validation by specifying parameter names in exceptions for clarity. - Adjusted tests to align with new event handler signatures. - Improved code readability and maintainability by using structured records and lambda expressions.
184 lines
5.9 KiB
C#
184 lines
5.9 KiB
C#
using System;
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using System.Collections.Generic;
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using System.Linq;
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using Xunit;
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using QuanTAlib;
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using OoplesFinance.StockIndicators;
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using OoplesFinance.StockIndicators.Models;
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namespace QuanTAlib.Tests;
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public class ButterValidationTests
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{
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private readonly GBM _gbm;
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public ButterValidationTests()
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{
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_gbm = new GBM();
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}
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[Fact]
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public void ValidateAgainstReferenceImplementation()
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{
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// Generate test data
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var bars = _gbm.Fetch(1000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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var series = bars.Close;
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int period = 14;
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// 1. QuanTAlib Implementation
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var butter = new Butter(period);
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var quantalibResult = new List<double>();
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foreach (var item in series)
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{
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quantalibResult.Add(butter.Update(item).Value);
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}
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// 2. Reference Implementation (PineScript logic)
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var referenceResult = CalculateReference(series, period);
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// Compare
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Assert.Equal(quantalibResult.Count, referenceResult.Count);
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for (int i = 0; i < quantalibResult.Count; i++)
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{
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// Allow small difference due to float precision
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Assert.Equal(referenceResult[i], quantalibResult[i], 1e-9);
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}
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}
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[Fact]
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public void ValidateAgainstOoples()
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{
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// Generate test data
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var bars = _gbm.Fetch(1000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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var series = bars.Close;
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int period = 14;
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// 1. QuanTAlib Implementation
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var butter = new Butter(period);
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var quantalibResult = new List<double>();
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foreach (var item in series)
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{
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quantalibResult.Add(butter.Update(item).Value);
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}
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// 2. Ooples Implementation
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var ooplesData = bars.Select(b => new TickerData
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{
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Date = b.AsDateTime,
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Open = b.Open,
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High = b.High,
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Low = b.Low,
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Close = b.Close,
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Volume = b.Volume
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}).ToList();
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var stockData = new StockData(ooplesData);
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var ooplesResult = stockData.CalculateEhlers2PoleButterworthFilterV2(length: period);
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var ooplesValues = ooplesResult.OutputValues.Values.First();
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// Compare
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Assert.Equal(quantalibResult.Count, ooplesValues.Count);
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// Check last 100 bars
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for (int i = quantalibResult.Count - 100; i < quantalibResult.Count; i++)
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{
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// Ooples implementation (Ehlers) deviates slightly from standard Butterworth (PineScript reference)
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// Tolerance increased to 0.2 to account for this difference.
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Assert.Equal(ooplesValues[i], quantalibResult[i], 2e-1);
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}
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}
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private static IReadOnlyList<double> CalculateReference(TSeries source, int period)
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{
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var result = new List<double>();
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// PineScript logic:
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// float pi = math.pi
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// int safe_length = math.max(length, 2)
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// float omega = 2.0 * pi / safe_length
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// float sin_omega = math.sin(omega)
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// float cos_omega = math.cos(omega)
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// float alpha = sin_omega / math.sqrt(2.0)
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// float a0 = 1.0 + alpha
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// float a1 = -2.0 * cos_omega
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// float a2 = 1.0 - alpha
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// float b0 = (1.0 - cos_omega) / 2.0
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// float b1 = 1.0 - cos_omega
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// float b2 = (1.0 - cos_omega) / 2.0
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int safe_length = Math.Max(period, 2);
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double omega = 2.0 * Math.PI / safe_length;
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double sin_omega = Math.Sin(omega);
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double cos_omega = Math.Cos(omega);
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double alpha = sin_omega / Math.Sqrt(2.0);
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double a0 = 1.0 + alpha;
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double a1 = -2.0 * cos_omega;
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double a2 = 1.0 - alpha;
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double b0 = (1.0 - cos_omega) / 2.0;
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double b1 = 1.0 - cos_omega;
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double b2 = (1.0 - cos_omega) / 2.0;
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double filt = 0;
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double filt1 = 0;
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double filt2 = 0;
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// Need to track history for src[1], src[2]
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// In PineScript, src[1] is previous bar's src.
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// We iterate through source.
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double src1 = 0;
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double src2 = 0;
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for (int i = 0; i < source.Count; i++)
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{
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double src = source[i].Value;
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// if bar_index < 2
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// filt := nz(src, 0.0)
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if (i < 2)
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{
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filt = src;
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// Initialize history
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// In PineScript, src[1] at index 0 is NaN (nz -> 0.0 or something?)
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// Actually, nz(src, 0.0) means if src is NaN, use 0.0.
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// But here src is valid.
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// At i=0: src[1] is NaN, src[2] is NaN.
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// At i=1: src[1] is src[i-1], src[2] is NaN.
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// But the PineScript code says:
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// if bar_index < 2: filt := nz(src, 0.0)
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// else: ... formula ...
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// So for i=0 and i=1, filt = src.
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}
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else
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{
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// float ssrc = nz(src, src[1]) -> if src is NaN use src[1]. Assuming src is valid.
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double ssrc = src;
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// float src1 = nz(src[1], ssrc) -> previous src.
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// float src2 = nz(src[2], src1) -> 2nd previous src.
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// float filt1 = nz(filt[1], ssrc) -> previous filt.
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// float filt2 = nz(filt[2], filt1) -> 2nd previous filt.
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// filt := (b0 * ssrc + b1 * src1 + b2 * src2 - a1 * filt1 - a2 * filt2) / a0
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filt = (b0 * ssrc + b1 * src1 + b2 * src2 - a1 * filt1 - a2 * filt2) / a0;
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}
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result.Add(filt);
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// Update history
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src2 = src1;
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src1 = src;
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filt2 = filt1;
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filt1 = filt;
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}
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return result;
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}
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}
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