Files
Miha Kralj 15f4bb90f3 feat: add 8 new indicators with full integration
New indicators:
- HWC (Holt-Winters Channel) — channels, 27 tests
- VWMACD (Volume-Weighted MACD) — momentum, 38 tests
- Squeeze Pro — oscillators, 69 tests
- BW_MFI (Bill Williams MFI) — oscillators
- DSTOCH (Double Stochastic) — oscillators
- ATRSTOP (ATR Trailing Stop) — reversals
- VSTOP (Volatility Stop) — reversals
- Convexity (Beta Convexity) — statistics, 23 tests

Integration:
- Python bridge: Exports.cs, _bridge.py, wrapper modules
- Documentation: _sidebar.md, _index.md pages, SPEC.md
- All analyzer warnings fixed (MA0074, xUnit2013, S2699)

Build: 0 warnings, 0 errors | Tests: 15,933 passed, 0 failed
2026-03-17 08:35:29 -07:00

342 lines
9.1 KiB
C#

using System.Runtime.CompilerServices;
using Xunit;
namespace QuanTAlib.Tests;
public sealed class DstochTests
{
private readonly GBM _gbm = new(100.0, 0.05, 0.5, seed: 42);
// ── A. Constructor / defaults ──
[Fact]
public void Constructor_Default_SetsName()
{
var d = new Dstoch();
Assert.Equal("Dstoch(21)", d.Name);
}
[Fact]
public void Constructor_Custom_SetsName()
{
var d = new Dstoch(10);
Assert.Equal("Dstoch(10)", d.Name);
}
[Fact]
public void Constructor_Default_WarmupPeriodIsPeriod()
{
var d = new Dstoch(10);
Assert.Equal(10, d.WarmupPeriod);
}
[Fact]
public void Constructor_Default_NotHotBeforeFirstBar()
{
var d = new Dstoch();
Assert.False(d.IsHot);
}
[Fact]
public void Constructor_ZeroPeriod_Throws()
{
Assert.Throws<ArgumentException>(() => new Dstoch(0));
}
[Fact]
public void Constructor_NegativePeriod_Throws()
{
Assert.Throws<ArgumentException>(() => new Dstoch(-5));
}
// ── B. Core update behavior ──
[Fact]
public void Update_BasicBar_ProducesFiniteResult()
{
var d = new Dstoch(5);
var bar = new TBar(DateTime.UtcNow, 105, 110, 100, 107, 1000);
var result = d.Update(bar);
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Update_LastMatchesReturnValue()
{
var d = new Dstoch(5);
var bar = new TBar(DateTime.UtcNow, 105, 110, 100, 107, 1000);
var result = d.Update(bar);
Assert.Equal(result.Value, d.Last.Value, 15);
}
[Fact]
public void IsHot_FalseForFirstBar_TrueAfterPeriod()
{
var d = new Dstoch(3);
var gbm = new GBM(100.0, 0.05, 0.2, seed: 7);
for (int i = 0; i < 10; i++)
{
d.Update(gbm.Next(isNew: true));
if (i < 2) { Assert.False(d.IsHot); }
else { Assert.True(d.IsHot); }
}
}
// ── C. Boundedness [0, 100] ──
[Fact]
public void Output_BoundedZeroToHundred()
{
var d = new Dstoch(10);
var gbm = new GBM(100.0, 0.05, 0.3, seed: 11);
for (int i = 0; i < 200; i++)
{
d.Update(gbm.Next(isNew: true));
if (d.IsHot)
{
Assert.InRange(d.Last.Value, -0.01, 100.01);
}
}
}
[Fact]
public void Output_ConstantBars_IsZero()
{
var d = new Dstoch(5);
for (int i = 0; i < 20; i++)
{
d.Update(new TBar(DateTime.UtcNow.AddDays(i), 100, 100, 100, 100, 1000));
}
Assert.Equal(0.0, d.Last.Value, 10);
}
// ── D. NaN / edge cases ──
[Fact]
public void Update_NaNHigh_ResultIsFinite()
{
var d = new Dstoch(3);
d.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 105, 500));
d.Update(new TBar(DateTime.UtcNow.AddDays(1), 102, double.NaN, 92, 100, 500));
Assert.True(double.IsFinite(d.Last.Value));
}
[Fact]
public void Update_NaNVolume_NoImpact()
{
var d = new Dstoch(3);
var result = d.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 105, double.NaN));
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Update_AllNaN_ReturnsNaN()
{
var d = new Dstoch(3);
var result = d.Update(new TBar(DateTime.UtcNow, double.NaN, double.NaN, double.NaN, double.NaN, 0));
Assert.True(double.IsNaN(result.Value));
}
// ── E. isNew=false bar correction ──
[Fact]
public void Update_IsNewFalse_RewritesLastBar()
{
var d = new Dstoch(5);
var gbm = new GBM(100.0, 0.05, 0.2, seed: 99);
for (int i = 0; i < 8; i++) { d.Update(gbm.Next(isNew: true)); }
d.Update(gbm.Next(isNew: true));
double original = d.Last.Value;
// Correct with a different bar
var corrected = new TBar(DateTime.UtcNow.AddDays(99), 200, 250, 150, 220, 5000);
d.Update(corrected, isNew: false);
double correctedVal = d.Last.Value;
Assert.NotEqual(original, correctedVal);
}
[Fact]
public void Update_BarCorrection_PreservesCount()
{
var d = new Dstoch(3);
var gbm = new GBM(100.0, 0.05, 0.2, seed: 33);
for (int i = 0; i < 5; i++) { d.Update(gbm.Next(isNew: true)); }
bool hotBefore = d.IsHot;
d.Update(new TBar(DateTime.UtcNow.AddDays(99), 100, 110, 90, 105, 500), isNew: false);
Assert.Equal(hotBefore, d.IsHot);
}
// ── F. Reset ──
[Fact]
public void Reset_ClearsState()
{
var d = new Dstoch(5);
var gbm = new GBM(100.0, 0.05, 0.2, seed: 44);
for (int i = 0; i < 20; i++) { d.Update(gbm.Next(isNew: true)); }
Assert.True(d.IsHot);
d.Reset();
Assert.False(d.IsHot);
Assert.Equal(0.0, d.Last.Value);
}
// ── G. Pub event ──
[Fact]
public void PubEvent_Fires_OnUpdate()
{
var d = new Dstoch(3);
int count = 0;
d.Pub += (object? _, in TValueEventArgs _) => count++;
d.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 105, 500));
Assert.Equal(1, count);
}
// ── H. TBarSeries chaining ──
[Fact]
public void TBarSeries_Chaining_Works()
{
var source = new TBarSeries();
var gbm = new GBM(100.0, 0.05, 0.2, seed: 55);
for (int i = 0; i < 30; i++)
{
source.Add(gbm.Next(isNew: true));
}
var d = new Dstoch(source, 10);
Assert.True(d.IsHot);
Assert.True(double.IsFinite(d.Last.Value));
}
// ── I. Batch methods ──
[Fact]
public void Batch_EmptySpans_NoThrow()
{
Span<double> empty = [];
Span<double> output = [];
Dstoch.Batch(empty, empty, empty, output, 5);
Assert.True(true);
}
[Fact]
public void Batch_MismatchedLength_Throws()
{
double[] h = [1, 2, 3];
double[] l = [1, 2];
double[] c = [1, 2, 3];
double[] o = new double[3];
Assert.Throws<ArgumentException>(() =>
Dstoch.Batch(h, l, c, o, 5));
}
[Fact]
public void Batch_OutputTooShort_Throws()
{
double[] h = [1, 2, 3];
double[] l = [1, 2, 3];
double[] c = [1, 2, 3];
double[] o = new double[2];
Assert.Throws<ArgumentException>(() =>
Dstoch.Batch(h, l, c, o, 5));
}
[Fact]
public void Batch_KnownValues_BoundedOutput()
{
var source = new TBarSeries();
var gbm = new GBM(100.0, 0.05, 0.2, seed: 66);
for (int i = 0; i < 50; i++) { source.Add(gbm.Next(isNew: true)); }
var result = Dstoch.Batch(source, 10);
for (int i = 10; i < result.Count; i++)
{
Assert.InRange(result[i].Value, -0.01, 100.01);
}
}
// ── J. Streaming ↔ Batch consistency ──
[Fact]
public void Consistency_StreamingMatchesBatch()
{
const int period = 10;
var source = new TBarSeries();
var gbm = new GBM(100.0, 0.05, 0.2, seed: 77);
for (int i = 0; i < 100; i++) { source.Add(gbm.Next(isNew: true)); }
var batch = Dstoch.Batch(source, period);
var streaming = new Dstoch(period);
for (int i = 0; i < source.Count; i++)
{
streaming.Update(source[i]);
Assert.Equal(batch[i].Value, streaming.Last.Value, 10);
}
}
[Fact]
public void Consistency_EventBasedMatchesStreaming()
{
const int period = 7;
var gbm = new GBM(100.0, 0.05, 0.2, seed: 88);
var d1 = new Dstoch(period);
var d2 = new Dstoch(period);
var eventValues = new List<double>();
d2.Pub += (object? _, in TValueEventArgs e) => eventValues.Add(e.Value.Value);
for (int i = 0; i < 50; i++)
{
var bar = gbm.Next(isNew: true);
d1.Update(bar);
d2.Update(bar);
}
Assert.Equal(50, eventValues.Count);
}
// ── K. Large dataset stability ──
[Fact]
public void Batch_LargeDataset_NoStackOverflow()
{
const int N = 5000;
var source = new TBarSeries();
var gbm = new GBM(100.0, 0.05, 0.3, seed: 123);
for (int i = 0; i < N; i++) { source.Add(gbm.Next(isNew: true)); }
var result = Dstoch.Batch(source, 21);
Assert.Equal(N, result.Count);
}
[Fact]
public void Batch_ZeroPeriod_Throws()
{
double[] h = [1, 2, 3];
double[] l = [1, 2, 3];
double[] c = [1, 2, 3];
double[] o = new double[3];
Assert.Throws<ArgumentException>(() =>
Dstoch.Batch(h, l, c, o, 0));
}
// ── L. Calculate factory ──
[Fact]
public void Calculate_ReturnsIndicatorAndResults()
{
var source = new TBarSeries();
var gbm = new GBM(100.0, 0.05, 0.2, seed: 99);
for (int i = 0; i < 50; i++) { source.Add(gbm.Next(isNew: true)); }
var (results, indicator) = Dstoch.Calculate(source, 10);
Assert.Equal(50, results.Count);
Assert.True(indicator.IsHot);
}
}