validation and profiles

This commit is contained in:
Miha Kralj
2026-02-26 22:02:52 -08:00
parent 9ab37c1200
commit 8a1ba95173
317 changed files with 18704 additions and 622 deletions
+107
View File
@@ -1,3 +1,6 @@
using OoplesFinance.StockIndicators;
using OoplesFinance.StockIndicators.Models;
using Tulip;
using Xunit.Abstractions;
namespace QuanTAlib.Tests;
@@ -186,4 +189,108 @@ public sealed class TsfValidationTests : IDisposable
Assert.Equal(expectedLast, tsf.Last.Value, 1e-6);
_output.WriteLine("TSF bar correction consistency verified");
}
// ── Tulip Cross-Validation ─────────────────────────────────────────────────
/// <summary>
/// Validates TSF against Tulip <c>tsf</c> (Time Series Forecast).
/// Tulip formula: linear regression value projected one period forward —
/// identical to QuanTAlib TSF = slope*(n-1+1) + intercept = Lsma(offset=1).
/// </summary>
[Fact]
public void Tsf_Matches_Tulip_Batch()
{
const int period = 14;
double[] data = _testData.RawData.ToArray();
var qResult = global::QuanTAlib.Tsf.Batch(_testData.Data, period);
var tulipIndicator = Tulip.Indicators.tsf;
double[][] inputs = { data };
double[] options = { period };
int lookback = tulipIndicator.Start(options);
double[][] outputs = { new double[data.Length - lookback] };
tulipIndicator.Run(inputs, options, outputs);
double[] tResult = outputs[0];
ValidationHelper.VerifyData(qResult, tResult, lookback, tolerance: 1e-9);
_output.WriteLine("TSF Batch validated against Tulip tsf");
}
[Fact]
public void Tsf_Matches_Tulip_Streaming()
{
const int period = 20;
double[] data = _testData.RawData.ToArray();
var tsf = new global::QuanTAlib.Tsf(period);
var qResults = new List<double>();
foreach (var item in _testData.Data)
{
qResults.Add(tsf.Update(item).Value);
}
var tulipIndicator = Tulip.Indicators.tsf;
double[][] inputs = { data };
double[] options = { period };
int lookback = tulipIndicator.Start(options);
double[][] outputs = { new double[data.Length - lookback] };
tulipIndicator.Run(inputs, options, outputs);
double[] tResult = outputs[0];
// Tolerance relaxed to 1e-8: floating-point accumulation over ~5000 bars produces
// up to ~4e-9 drift between streaming (incremental) and batch (single-pass) paths.
ValidationHelper.VerifyData(qResults, tResult, lookback, tolerance: 1e-8);
_output.WriteLine("TSF Streaming validated against Tulip tsf");
}
// ── Cross-library: OoplesFinance ────────────────────────────────────
/// <summary>
/// Structural validation against Ooples <c>CalculateTimeSeriesForecast</c>.
/// Ooples TSF uses the same linear-regression-forecast-one-bar-ahead definition.
/// Numeric equality is not asserted: Ooples default period is 500 (batch-oriented),
/// so at period=14 results may differ due to seeding strategy.
/// Both must produce finite output after warmup on the same close series.
/// </summary>
[Fact]
public void Tsf_MatchesOoples_Structural()
{
const int period = 14;
var ooplesData = _testData.SkenderQuotes.Select(q => new TickerData
{
Date = q.Date,
Open = (double)q.Open,
High = (double)q.High,
Low = (double)q.Low,
Close = (double)q.Close,
Volume = (double)q.Volume
}).ToList();
var stockData = new StockData(ooplesData);
var oResult = stockData.CalculateTimeSeriesForecast(length: period);
var oValues = oResult.OutputValues.Values.First();
var tsf = new Tsf(period);
var qValues = new System.Collections.Generic.List<double>();
foreach (var item in _testData.Data)
{
qValues.Add(tsf.Update(item).Value);
}
Assert.True(oValues.Count > 0, "Ooples TSF must produce output");
int finiteCount = 0;
for (int i = period; i < Math.Min(oValues.Count, qValues.Count); i++)
{
if (double.IsFinite(oValues[i]) && double.IsFinite(qValues[i]))
{
finiteCount++;
}
}
Assert.True(finiteCount > 100, $"Expected >100 finite TSF pairs, got {finiteCount}");
_output.WriteLine($"TSF Ooples structural: {finiteCount} finite pairs verified.");
}
}