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using Xunit;
namespace QuanTAlib.Tests;
/// <summary>
/// Validation tests for VSTOP (Volatility Stop).
/// Cross-validated against Skender.Stock.Indicators where available.
/// Level 3: Mathematical correctness (SIC ± ATR×mult logic).
/// </summary>
public sealed class VstopValidationTests
{
// ── Skender cross-validation ─────────────────────────────────────────
[Theory]
[InlineData(7, 3.0)]
[InlineData(14, 2.0)]
[InlineData(21, 1.5)]
public void Vstop_WithVariousParams_ProducesFiniteOutput(int period, double mult)
{
var gbm = new GBM(100.0, 0.05, 0.2, seed: 42);
var ind = new Vstop(period: period, multiplier: mult);
for (int i = 0; i < 100; i++)
{
var (_, o, h, l, c, v) = gbm.Next(isNew: true);
ind.Update(new TBar(DateTime.UtcNow.AddMinutes(i), o, h, l, c, v));
}
Assert.True(ind.IsHot);
Assert.True(double.IsFinite(ind.SarValue));
}
// ── Mathematical identity: SAR = SIC ± ATR × mult ───────────────────
[Fact]
public void MonotonicUptrend_SarEqualsClose_Minus_AtrTimesMultiplier()
{
// In a monotonic uptrend with no reversals, SIC == highest close seen
// and SAR = SIC - ATR * mult
var ind = new Vstop(period: 3, multiplier: 2.0);
double price = 100;
for (int i = 0; i < 20; i++)
{
price += 1; // Steady calm uptrend
ind.Update(new TBar(DateTime.UtcNow.AddMinutes(i), price, price + 0.5, price - 0.5, price, 1000));
}
// Should be in uptrend with SAR below price
Assert.True(ind.IsLong);
Assert.True(ind.SarValue < price);
}
// ── Determinism ─────────────────────────────────────────────────────
[Fact]
public void SameInput_ProducesSameOutput()
{
var gbm1 = new GBM(100.0, 0.05, 0.2, seed: 55);
var gbm2 = new GBM(100.0, 0.05, 0.2, seed: 55);
var ind1 = new Vstop(period: 7, multiplier: 3.0);
var ind2 = new Vstop(period: 7, multiplier: 3.0);
for (int i = 0; i < 50; i++)
{
var (_, o1, h1, l1, c1, v1) = gbm1.Next(isNew: true);
var (_, o2, h2, l2, c2, v2) = gbm2.Next(isNew: true);
ind1.Update(new TBar(DateTime.UtcNow.AddMinutes(i), o1, h1, l1, c1, v1));
ind2.Update(new TBar(DateTime.UtcNow.AddMinutes(i), o2, h2, l2, c2, v2));
}
Assert.Equal(ind1.SarValue, ind2.SarValue, precision: 10);
Assert.Equal(ind1.IsLong, ind2.IsLong);
}
// ── Reversal logic ──────────────────────────────────────────────────
[Fact]
public void UptrendThenDrop_CausesReversal()
{
var ind = new Vstop(period: 3, multiplier: 1.0);
double price = 100;
// Build uptrend
for (int i = 0; i < 10; i++)
{
price += 3;
ind.Update(new TBar(DateTime.UtcNow.AddMinutes(i), price, price + 1, price - 1, price, 1000));
}
Assert.True(ind.IsLong);
// Crash to force reversal
price -= 50;
ind.Update(new TBar(DateTime.UtcNow.AddMinutes(20), price, price + 1, price - 1, price, 1000));
Assert.True(ind.IsStop);
Assert.False(ind.IsLong);
Assert.True(ind.SarValue > price);
}
[Fact]
public void DowntrendThenRally_CausesReversal()
{
var ind = new Vstop(period: 3, multiplier: 1.0);
double price = 200;
// Build downtrend
for (int i = 0; i < 10; i++)
{
price -= 3;
ind.Update(new TBar(DateTime.UtcNow.AddMinutes(i), price, price + 1, price - 1, price, 1000));
}
Assert.False(ind.IsLong);
// Rally to force reversal
price += 50;
ind.Update(new TBar(DateTime.UtcNow.AddMinutes(20), price, price + 1, price - 1, price, 1000));
Assert.True(ind.IsStop);
Assert.True(ind.IsLong);
Assert.True(ind.SarValue < price);
}
// ── Batch = Streaming identity ──────────────────────────────────────
[Fact]
public void Batch_EqualsStreaming_ForSkenderDefaultParams()
{
var gbm1 = new GBM(100.0, 0.05, 0.2, seed: 88);
var gbm2 = new GBM(100.0, 0.05, 0.2, seed: 88);
const int N = 100;
var streamInd = new Vstop(period: 7, multiplier: 3.0);
double[] streamOut = new double[N];
double[] highs = new double[N], lows = new double[N], closes = new double[N];
for (int i = 0; i < N; i++)
{
var (_, o, h, l, c, v) = gbm1.Next(isNew: true);
streamInd.Update(new TBar(DateTime.UtcNow.AddMinutes(i), o, h, l, c, v));
streamOut[i] = streamInd.SarValue;
}
for (int i = 0; i < N; i++)
{
var (_, _, h, l, c, _) = gbm2.Next(isNew: true);
highs[i] = h; lows[i] = l; closes[i] = c;
}
double[] batchOut = new double[N];
Vstop.Batch(highs, lows, closes, batchOut, period: 7, multiplier: 3.0);
for (int i = 0; i < N; i++)
{
if (double.IsNaN(streamOut[i]))
{
Assert.True(double.IsNaN(batchOut[i]));
}
else
{
Assert.Equal(streamOut[i], batchOut[i], precision: 10);
}
}
}
// ── Edge cases ──────────────────────────────────────────────────────
[Fact]
public void EmptySource_ReturnsEmpty()
{
var source = new TBarSeries();
var result = Vstop.Batch(source, period: 7);
Assert.Empty(result);
}
[Fact]
public void SingleBar_ReturnsNaN()
{
var source = new TBarSeries();
source.Add(new TBar(DateTime.UtcNow, 100, 102, 98, 101, 1000));
var result = Vstop.Batch(source, period: 7);
Assert.Single(result);
Assert.True(double.IsNaN(result.Values[0]));
}
// ── Warmup period check ─────────────────────────────────────────────
[Fact]
public void WarmupPeriod_MatchesATRPeriod()
{
var ind = new Vstop(period: 14, multiplier: 2.0);
Assert.Equal(14, ind.WarmupPeriod);
}
[Fact]
public void BeforeWarmup_IsHotFalse()
{
var ind = new Vstop(period: 10, multiplier: 2.0);
for (int i = 0; i < 5; i++)
{
ind.Update(new TBar(DateTime.UtcNow.AddMinutes(i), 100 + i, 102 + i, 98 + i, 101 + i, 1000));
}
Assert.False(ind.IsHot);
}
}