mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-02 19:37:43 +00:00
15f4bb90f3
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
197 lines
6.9 KiB
C#
197 lines
6.9 KiB
C#
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);
|
||
}
|
||
}
|