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QuanTAlib/lib/oscillators/squeeze/Squeeze.Validation.Tests.cs
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2026-02-26 09:59:44 -08:00

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6.6 KiB
C#

using Xunit;
namespace QuanTAlib.Tests;
/// <summary>
/// Validation tests for Squeeze — internal consistency checks.
/// No external library implements this indicator identically, so we validate
/// against known mathematical properties and self-consistency.
/// </summary>
public sealed class SqueezeValidationTests
{
private static TBarSeries GenerateBars(int count, int seed = 42)
{
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.15, seed: seed);
return gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
}
// 1. Streaming == Batch (TBarSeries) consistency
[Fact]
public void Streaming_MatchesBatch_Momentum()
{
var bars = GenerateBars(100);
const int period = 20;
// Streaming
var sq = new Squeeze(period);
for (int i = 0; i < bars.Count; i++)
{
sq.Update(bars[i], isNew: true);
}
double streamMom = sq.Momentum;
// Batch
var (momSeries, _) = Squeeze.Batch(bars, period);
double batchMom = momSeries[^1].Value;
Assert.Equal(streamMom, batchMom, precision: 8);
}
// 2. Streaming == Batch (TBarSeries) for SqueezeOn state
[Fact]
public void Streaming_MatchesBatch_SqueezeOn()
{
var bars = GenerateBars(100);
const int period = 20;
var sq = new Squeeze(period);
for (int i = 0; i < bars.Count; i++)
{
sq.Update(bars[i], isNew: true);
}
bool streamSqOn = sq.SqueezeOn;
var (_, sqSeries) = Squeeze.Batch(bars, period);
bool batchSqOn = sqSeries[^1].Value >= 0.5;
Assert.Equal(streamSqOn, batchSqOn);
}
// 3. Span Batch == Streaming
[Fact]
public void SpanBatch_MatchesStreaming()
{
var bars = GenerateBars(100);
const int period = 20;
var sq = new Squeeze(period);
for (int i = 0; i < bars.Count; i++)
{
sq.Update(bars[i], isNew: true);
}
double streamMom = sq.Momentum;
double[] momOut = new double[100];
double[] sqOut = new double[100];
Squeeze.Batch(bars.HighValues, bars.LowValues, bars.CloseValues,
momOut, sqOut, period);
Assert.Equal(streamMom, momOut[99], precision: 8);
}
// 4. Constant price → zero momentum (delta always 0)
[Fact]
public void ConstantPrice_ZeroMomentum()
{
const int period = 10;
var sq = new Squeeze(period);
for (int i = 0; i < 50; i++)
{
var bar = new TBar(DateTime.UtcNow.AddMinutes(i), 100, 100, 100, 100, 1000);
sq.Update(bar, isNew: true);
}
Assert.Equal(0.0, sq.Momentum, precision: 10);
}
// 5. Rising price → positive momentum (linreg endpoint positive)
[Fact]
public void RisingPrice_PositiveMomentum()
{
const int period = 10;
var sq = new Squeeze(period);
for (int i = 0; i < 50; i++)
{
double p = 100.0 + i;
var bar = new TBar(DateTime.UtcNow.AddMinutes(i), p, p + 1, p - 1, p, 1000);
sq.Update(bar, isNew: true);
}
Assert.True(sq.Momentum > 0.0);
}
// 6. Falling price → negative momentum
[Fact]
public void FallingPrice_NegativeMomentum()
{
const int period = 10;
var sq = new Squeeze(period);
for (int i = 0; i < 50; i++)
{
double p = 200.0 - i;
var bar = new TBar(DateTime.UtcNow.AddMinutes(i), p, p + 1, p - 1, p, 1000);
sq.Update(bar, isNew: true);
}
Assert.True(sq.Momentum < 0.0);
}
// 7. Very tight range → BB inside KC → squeeze should be ON
[Fact]
public void VeryTightRange_SqueezeOn_True()
{
// Extremely tight range → stddev very small → BB narrows inside KC
const int period = 20;
var sq = new Squeeze(period, bbMult: 2.0, kcMult: 1.5);
// Use tiny sigma so BB << KC
var gbm = new GBM(100.0, 0.0, 0.001, seed: 99); // near-constant with tiny noise
var bars = gbm.Fetch(60, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < bars.Count; i++)
{
sq.Update(bars[i], isNew: true);
}
// After 60 bars with near-zero sigma, BB should be inside KC
Assert.True(sq.SqueezeOn);
}
// 8. Very high volatility → BB outside KC → squeeze should be OFF
[Fact]
public void HighVolatility_SqueezeOn_False()
{
const int period = 20;
var sq = new Squeeze(period, bbMult: 2.0, kcMult: 1.5);
// Use very high sigma so BB >> KC
var gbm = new GBM(100.0, 0.0, 5.0, seed: 77); // wild swings
var bars = gbm.Fetch(60, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < bars.Count; i++)
{
sq.Update(bars[i], isNew: true);
}
Assert.False(sq.SqueezeOn);
}
// 9. Period=1 edge case — should not crash
[Fact]
public void Period1_DoesNotCrash()
{
var sq = new Squeeze(period: 1);
for (int i = 0; i < 10; i++)
{
double p = 100.0 + i;
var bar = new TBar(DateTime.UtcNow.AddMinutes(i), p, p + 1, p - 1, p, 1000);
sq.Update(bar, isNew: true);
}
Assert.True(double.IsFinite(sq.Momentum));
}
// 10. Bar correction: feeding same bar multiple times with isNew=false restores original result
[Fact]
public void MultipleCorrections_Idempotent()
{
var bars = GenerateBars(25);
const int period = 10;
var sq = new Squeeze(period);
for (int i = 0; i < 24; i++)
{
sq.Update(bars[i], isNew: true);
}
sq.Update(bars[24], isNew: true);
double momRef = sq.Momentum;
// Correct 3 more times with same bar
for (int k = 0; k < 3; k++)
{
sq.Update(bars[24], isNew: false);
}
Assert.Equal(momRef, sq.Momentum, precision: 10);
}
// 11. Update(TBarSeries) === streaming
[Fact]
public void UpdateTBarSeries_MatchesStreaming()
{
var bars = GenerateBars(50);
const int period = 10;
// Streaming
var sqStream = new Squeeze(period);
for (int i = 0; i < bars.Count; i++)
{
sqStream.Update(bars[i], isNew: true);
}
// TBarSeries update
var sqBatch = new Squeeze(period);
_ = sqBatch.Update(bars);
Assert.Equal(sqStream.Momentum, sqBatch.Momentum, precision: 8);
Assert.Equal(sqStream.SqueezeOn, sqBatch.SqueezeOn);
}
}