Files
QuanTAlib/lib/reversals/pivotdem/tests/Pivotdem.Validation.Tests.cs
Miha Kralj 060649192f docs: remove C# Implementation Considerations sections, clean up temp scripts, reorganize test files
- Remove 'C# Implementation Considerations' sections from 34 indicator .md files
- Delete 29 temp PowerShell scripts (_fix_mojibake.ps1, _hex_scan.ps1, etc.)
- Move test files into tests/ subdirectories for consistent project structure
- Add trader-focused bullet points to indicator documentation
2026-03-12 12:34:16 -07:00

244 lines
7.0 KiB
C#

// PIVOTDEM Validation Tests - DeMark Pivot Points
// Self-consistency validation across all API modes.
//
// Note: No external libraries (Skender, TA-Lib, Tulip, Ooples) implement
// DeMark pivot points. Validation focuses on mathematical correctness,
// conditional logic verification, and mode consistency.
namespace QuanTAlib.Tests;
public sealed class PivotdemValidationTests
{
private static TBarSeries CreateGbmBars(int count = 500, int seed = 42)
{
var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.20, seed: seed);
return gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
}
// -- Mathematical Correctness -------------------------------------------------
[Fact]
public void MathCorrectness_PP_MatchesConditionalFormula()
{
var bars = CreateGbmBars(count: 100);
var p = new Pivotdem();
for (int i = 0; i < bars.Count; i++)
{
_ = p.Update(bars[i], isNew: true);
if (i >= 1) // Need previous bar
{
double pO = bars[i - 1].Open;
double pH = bars[i - 1].High;
double pL = bars[i - 1].Low;
double pC = bars[i - 1].Close;
double x;
if (pC < pO) { x = pH + 2.0 * pL + pC; }
else if (pC > pO) { x = 2.0 * pH + pL + pC; }
else { x = pH + pL + 2.0 * pC; }
double expectedPP = x * 0.25;
Assert.Equal(expectedPP, p.PP, precision: 10);
}
}
}
[Fact]
public void MathCorrectness_AllLevels_MatchFormula()
{
var bars = CreateGbmBars(count: 100);
var p = new Pivotdem();
for (int i = 0; i < bars.Count; i++)
{
_ = p.Update(bars[i], isNew: true);
if (i >= 1)
{
double pO = bars[i - 1].Open;
double pH = bars[i - 1].High;
double pL = bars[i - 1].Low;
double pC = bars[i - 1].Close;
double x;
if (pC < pO) { x = pH + 2.0 * pL + pC; }
else if (pC > pO) { x = 2.0 * pH + pL + pC; }
else { x = pH + pL + 2.0 * pC; }
double halfX = x * 0.5;
Assert.Equal(x * 0.25, p.PP, precision: 10);
Assert.Equal(halfX - pL, p.R1, precision: 10);
Assert.Equal(halfX - pH, p.S1, precision: 10);
}
}
}
// -- Self-Consistency: Streaming == Batch --------------------------------------
[Fact]
public void StreamingMatchesBatch_PP()
{
var bars = CreateGbmBars();
// Streaming
var streaming = new Pivotdem();
var streamPP = new double[bars.Count];
for (int i = 0; i < bars.Count; i++)
{
_ = streaming.Update(bars[i], isNew: true);
streamPP[i] = streaming.PP;
}
// Batch
var batchResults = Pivotdem.Batch(bars);
for (int i = 1; i < bars.Count; i++)
{
if (double.IsNaN(streamPP[i]))
{
Assert.True(double.IsNaN(batchResults[i].Value),
$"Mismatch at {i}: streaming=NaN, batch={batchResults[i].Value}");
}
else
{
Assert.Equal(streamPP[i], batchResults[i].Value, precision: 10);
}
}
}
// -- Self-Consistency: Streaming == Span ---------------------------------------
[Fact]
public void StreamingMatchesSpan_PP()
{
var bars = CreateGbmBars();
// Streaming
var streaming = new Pivotdem();
var streamPP = new double[bars.Count];
for (int i = 0; i < bars.Count; i++)
{
_ = streaming.Update(bars[i], isNew: true);
streamPP[i] = streaming.PP;
}
// Span
var spanPP = new double[bars.Count];
Pivotdem.Batch(bars.OpenValues, bars.HighValues, bars.LowValues, bars.CloseValues, spanPP);
for (int i = 1; i < bars.Count; i++)
{
if (double.IsNaN(streamPP[i]))
{
Assert.True(double.IsNaN(spanPP[i]));
}
else
{
Assert.Equal(streamPP[i], spanPP[i], precision: 10);
}
}
}
// -- Self-Consistency: Streaming == BatchAll (all 3 levels) --------------------
[Fact]
public void StreamingMatchesBatchAll_AllLevels()
{
var bars = CreateGbmBars(count: 300);
// Streaming
var streaming = new Pivotdem();
var sPP = new double[bars.Count];
var sR1 = new double[bars.Count];
var sS1 = new double[bars.Count];
for (int i = 0; i < bars.Count; i++)
{
_ = streaming.Update(bars[i], isNew: true);
sPP[i] = streaming.PP;
sR1[i] = streaming.R1;
sS1[i] = streaming.S1;
}
// BatchAll
var bPP = new double[bars.Count];
var bR1 = new double[bars.Count];
var bS1 = new double[bars.Count];
Pivotdem.BatchAll(bars.OpenValues, bars.HighValues, bars.LowValues, bars.CloseValues,
bPP, bR1, bS1);
for (int i = 1; i < bars.Count; i++)
{
if (double.IsNaN(sPP[i]))
{
Assert.True(double.IsNaN(bPP[i]));
continue;
}
Assert.Equal(sPP[i], bPP[i], precision: 10);
Assert.Equal(sR1[i], bR1[i], precision: 10);
Assert.Equal(sS1[i], bS1[i], precision: 10);
}
}
// -- Determinism ---------------------------------------------------------------
[Fact]
public void SameInput_ProducesSameOutput()
{
var bars = CreateGbmBars(count: 200, seed: 123);
var p1 = new Pivotdem();
var p2 = new Pivotdem();
for (int i = 0; i < bars.Count; i++)
{
_ = p1.Update(bars[i], isNew: true);
_ = p2.Update(bars[i], isNew: true);
}
Assert.Equal(p1.PP, p2.PP);
Assert.Equal(p1.R1, p2.R1);
Assert.Equal(p1.S1, p2.S1);
}
// -- Calculate Returns Valid Indicator -----------------------------------------
[Fact]
public void Calculate_ReturnsValidIndicatorAndResults()
{
var bars = CreateGbmBars(count: 100);
var (results, indicator) = Pivotdem.Calculate(bars);
Assert.NotNull(results);
Assert.Equal(bars.Count, results.Count);
Assert.True(indicator.IsHot);
}
// -- Level Ordering Invariant --------------------------------------------------
[Fact]
public void AllBars_LevelsOrdered_S1_PP_R1()
{
var bars = CreateGbmBars(count: 200);
var p = new Pivotdem();
for (int i = 0; i < bars.Count; i++)
{
_ = p.Update(bars[i], isNew: true);
if (p.IsHot)
{
Assert.True(p.S1 <= p.PP, $"S1 > PP at bar {i}");
Assert.True(p.PP <= p.R1, $"PP > R1 at bar {i}");
}
}
}
}