Files
QuanTAlib/lib/trends/ssf/Ssf.Tests.cs
T

287 lines
8.4 KiB
C#

namespace QuanTAlib.Tests;
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
public class SsfTests
{
[Fact]
public void Ssf_Constructor_Period_ValidatesInput()
{
Assert.Throws<ArgumentException>(() => new Ssf(0));
Assert.Throws<ArgumentException>(() => new Ssf(-1));
var ssf = new Ssf(10);
Assert.NotNull(ssf);
}
[Fact]
public void Ssf_Calc_ReturnsValue()
{
var ssf = new Ssf(10);
Assert.Equal(0, ssf.Last.Value);
TValue result = ssf.Update(new TValue(DateTime.UtcNow, 100));
Assert.True(result.Value > 0);
Assert.Equal(result.Value, ssf.Last.Value);
}
[Fact]
public void Ssf_Calc_IsNew_AcceptsParameter()
{
var ssf = new Ssf(10);
ssf.Update(new TValue(DateTime.UtcNow, 100), isNew: true);
double value1 = ssf.Last.Value;
ssf.Update(new TValue(DateTime.UtcNow, 105), isNew: true);
double value2 = ssf.Last.Value;
// Values should change with new bars
Assert.NotEqual(value1, value2);
}
[Fact]
public void Ssf_Calc_IsNew_False_UpdatesValue()
{
var ssf = new Ssf(10);
ssf.Update(new TValue(DateTime.UtcNow, 100));
ssf.Update(new TValue(DateTime.UtcNow, 110), isNew: true);
double beforeUpdate = ssf.Last.Value;
ssf.Update(new TValue(DateTime.UtcNow, 120), isNew: false);
double afterUpdate = ssf.Last.Value;
// Update should change the value
Assert.NotEqual(beforeUpdate, afterUpdate);
}
[Fact]
public void Ssf_Reset_ClearsState()
{
var ssf = new Ssf(10);
ssf.Update(new TValue(DateTime.UtcNow, 100));
ssf.Update(new TValue(DateTime.UtcNow, 105));
double valueBefore = ssf.Last.Value;
ssf.Reset();
Assert.Equal(0, ssf.Last.Value);
// After reset, should accept new values
ssf.Update(new TValue(DateTime.UtcNow, 50));
Assert.NotEqual(0, ssf.Last.Value);
Assert.NotEqual(valueBefore, ssf.Last.Value);
}
[Fact]
public void Ssf_Properties_Accessible()
{
var ssf = new Ssf(10);
Assert.Equal(0, ssf.Last.Value);
Assert.False(ssf.IsHot);
ssf.Update(new TValue(DateTime.UtcNow, 100));
Assert.NotEqual(0, ssf.Last.Value);
}
[Fact]
public void Ssf_IsHot_BecomesTrueAfterWarmup()
{
var ssf = new Ssf(10);
// Initially IsHot should be false
Assert.False(ssf.IsHot);
int steps = 0;
while (!ssf.IsHot && steps < 1000)
{
ssf.Update(new TValue(DateTime.UtcNow, 100));
steps++;
}
Assert.True(ssf.IsHot);
Assert.True(steps > 0);
Assert.Equal(10, steps); // WarmupPeriod is period
}
[Fact]
public void Ssf_IterativeCorrections_RestoreToOriginalState()
{
var ssf = new Ssf(10);
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1);
// Feed 10 new values
TValue tenthInput = default;
for (int i = 0; i < 10; i++)
{
var bar = gbm.Next(isNew: true);
tenthInput = new TValue(bar.Time, bar.Close);
ssf.Update(tenthInput, isNew: true);
}
// Remember SSF state after 10 values
double ssfAfterTen = ssf.Last.Value;
// Generate 9 corrections with isNew=false (different values)
for (int i = 0; i < 9; i++)
{
var bar = gbm.Next(isNew: false);
ssf.Update(new TValue(bar.Time, bar.Close), isNew: false);
}
// Feed the remembered 10th input again with isNew=false
TValue finalSsf = ssf.Update(tenthInput, isNew: false);
// SSF should match the original state after 10 values
Assert.Equal(ssfAfterTen, finalSsf.Value, 1e-10);
}
[Fact]
public void Ssf_BatchCalc_MatchesIterativeCalc()
{
var ssfIterative = new Ssf(10);
var ssfBatch = new Ssf(10);
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1);
// Generate data
var series = new TSeries();
for (int i = 0; i < 100; i++)
{
var bar = gbm.Next(isNew: true);
series.Add(bar.Time, bar.Close);
}
Assert.True(series.Count > 0);
// Calculate iteratively
var iterativeResults = new TSeries();
foreach (var item in series)
{
iterativeResults.Add(ssfIterative.Update(item));
}
// Calculate batch
var batchResults = ssfBatch.Update(series);
// Compare
Assert.Equal(iterativeResults.Count, batchResults.Count);
for (int i = 0; i < iterativeResults.Count; i++)
{
Assert.Equal(iterativeResults[i].Value, batchResults[i].Value, 1e-10);
Assert.Equal(iterativeResults[i].Time, batchResults[i].Time);
}
}
[Fact]
public void Ssf_NaN_Input_UsesLastValidValue()
{
var ssf = new Ssf(10);
// Feed some valid values
ssf.Update(new TValue(DateTime.UtcNow, 100));
ssf.Update(new TValue(DateTime.UtcNow, 110));
// Feed NaN - should use last valid value (110)
var resultAfterNaN = ssf.Update(new TValue(DateTime.UtcNow, double.NaN));
// Result should be finite (not NaN)
Assert.True(double.IsFinite(resultAfterNaN.Value));
// SSF should continue to evolve
Assert.NotEqual(0, resultAfterNaN.Value);
}
[Fact]
public void Ssf_Infinity_Input_UsesLastValidValue()
{
var ssf = new Ssf(10);
// Feed some valid values
ssf.Update(new TValue(DateTime.UtcNow, 100));
ssf.Update(new TValue(DateTime.UtcNow, 110));
// Feed positive infinity - should use last valid value
var resultAfterPosInf = ssf.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
Assert.True(double.IsFinite(resultAfterPosInf.Value));
// Feed negative infinity - should use last valid value
var resultAfterNegInf = ssf.Update(new TValue(DateTime.UtcNow, double.NegativeInfinity));
Assert.True(double.IsFinite(resultAfterNegInf.Value));
}
[Fact]
public void Ssf_SpanBatch_MatchesTSeriesBatch()
{
var series = new TSeries();
double[] source = new double[100];
double[] output = new double[100];
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 42);
for (int i = 0; i < 100; i++)
{
var bar = gbm.Next(isNew: true);
source[i] = bar.Close;
series.Add(bar.Time, bar.Close);
}
// Calculate with TSeries API
var tseriesResult = Ssf.Calculate(series, 10).Results;
// Calculate with Span API
Ssf.Calculate(source.AsSpan(), output.AsSpan(), 10);
// Compare results
for (int i = 0; i < 100; i++)
{
Assert.Equal(tseriesResult[i].Value, output[i], 1e-9);
}
}
[Fact]
public void Ssf_AllModes_ProduceSameResult()
{
// Arrange
int period = 10;
var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
var bars = gbm.Fetch(1000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
var series = bars.Close;
// 1. Batch Mode
var batchSeries = Ssf.Calculate(series, period).Results;
double expected = batchSeries.Last.Value;
// 2. Span Mode
var tValues = series.Values.ToArray();
var spanInput = new ReadOnlySpan<double>(tValues);
var spanOutput = new double[tValues.Length];
Ssf.Calculate(spanInput, spanOutput, period);
double spanResult = spanOutput[^1];
// 3. Streaming Mode
var streamingInd = new Ssf(period);
for (int i = 0; i < series.Count; i++)
{
streamingInd.Update(series[i]);
}
double streamingResult = streamingInd.Last.Value;
// 4. Eventing Mode
var pubSource = new TSeries();
var eventingInd = new Ssf(pubSource, period);
for (int i = 0; i < series.Count; i++)
{
pubSource.Add(series[i]);
}
double eventingResult = eventingInd.Last.Value;
// Assert
Assert.Equal(expected, spanResult, precision: 9);
Assert.Equal(expected, streamingResult, precision: 9);
Assert.Equal(expected, eventingResult, precision: 9);
}
}