Files
QuanTAlib/lib/trends/pwma/Pwma.Tests.cs
T

399 lines
12 KiB
C#

namespace QuanTAlib.Tests;
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
public class PwmaTests
{
[Fact]
public void Pwma_Constructor_ValidatesInput()
{
Assert.Throws<ArgumentException>(() => new Pwma(0));
Assert.Throws<ArgumentException>(() => new Pwma(-1));
Assert.Throws<NullReferenceException>(() => new Pwma(null!, 10));
var pwma = new Pwma(10);
Assert.NotNull(pwma);
}
[Fact]
public void Pwma_Calc_ReturnsValue()
{
var pwma = new Pwma(10);
Assert.Equal(0, pwma.Last.Value);
TValue result = pwma.Update(new TValue(DateTime.UtcNow, 100));
Assert.True(result.Value > 0);
Assert.Equal(result.Value, pwma.Last.Value);
}
[Fact]
public void Pwma_FirstValue_ReturnsItself()
{
var pwma = new Pwma(10);
TValue result = pwma.Update(new TValue(DateTime.UtcNow, 100));
Assert.Equal(100.0, result.Value, 1e-10);
}
[Fact]
public void Pwma_Calc_IsNew_AcceptsParameter()
{
var pwma = new Pwma(10);
pwma.Update(new TValue(DateTime.UtcNow, 100), isNew: true);
double value1 = pwma.Last.Value;
pwma.Update(new TValue(DateTime.UtcNow, 200), isNew: true);
double value2 = pwma.Last.Value;
// Values should change with new bars
Assert.NotEqual(value1, value2);
}
[Fact]
public void Pwma_Calc_IsNew_False_UpdatesValue()
{
var pwma = new Pwma(10);
pwma.Update(new TValue(DateTime.UtcNow, 100));
pwma.Update(new TValue(DateTime.UtcNow, 110), isNew: true);
double beforeUpdate = pwma.Last.Value;
pwma.Update(new TValue(DateTime.UtcNow, 120), isNew: false);
double afterUpdate = pwma.Last.Value;
// Update should change the value
Assert.NotEqual(beforeUpdate, afterUpdate);
}
[Fact]
public void Pwma_Reset_ClearsState()
{
var pwma = new Pwma(10);
pwma.Update(new TValue(DateTime.UtcNow, 100));
pwma.Update(new TValue(DateTime.UtcNow, 105));
double valueBefore = pwma.Last.Value;
pwma.Reset();
Assert.Equal(0, pwma.Last.Value);
// After reset, should accept new values
pwma.Update(new TValue(DateTime.UtcNow, 50));
Assert.NotEqual(0, pwma.Last.Value);
Assert.NotEqual(valueBefore, pwma.Last.Value);
}
[Fact]
public void Pwma_Properties_Accessible()
{
var pwma = new Pwma(10);
Assert.Equal(0, pwma.Last.Value);
Assert.False(pwma.IsHot);
pwma.Update(new TValue(DateTime.UtcNow, 100));
Assert.NotEqual(0, pwma.Last.Value);
}
[Fact]
public void Pwma_IsHot_BecomesTrueWhenBufferFull()
{
var pwma = new Pwma(5);
Assert.False(pwma.IsHot);
for (int i = 1; i <= 4; i++)
{
pwma.Update(new TValue(DateTime.UtcNow, i * 10));
Assert.False(pwma.IsHot);
}
pwma.Update(new TValue(DateTime.UtcNow, 50));
Assert.True(pwma.IsHot);
}
[Fact]
public void Pwma_CalculatesCorrectWeightedAverage()
{
var pwma = new Pwma(3);
pwma.Update(new TValue(DateTime.UtcNow, 10));
pwma.Update(new TValue(DateTime.UtcNow, 20));
pwma.Update(new TValue(DateTime.UtcNow, 30));
// PWMA(3) of 10,20,30 = (1^2*10 + 2^2*20 + 3^2*30) / (1^2 + 2^2 + 3^2)
// = (1*10 + 4*20 + 9*30) / (1 + 4 + 9)
// = (10 + 80 + 270) / 14
// = 360 / 14 = 25.7142857...
Assert.Equal(360.0 / 14.0, pwma.Last.Value, 1e-10);
}
[Fact]
public void Pwma_SlidingWindow_Works()
{
var pwma = new Pwma(3);
pwma.Update(new TValue(DateTime.UtcNow, 10));
pwma.Update(new TValue(DateTime.UtcNow, 20));
pwma.Update(new TValue(DateTime.UtcNow, 30));
// PWMA(3) of 10,20,30 = 360/14
Assert.Equal(360.0 / 14.0, pwma.Last.Value, 1e-10);
pwma.Update(new TValue(DateTime.UtcNow, 40));
// PWMA(3) of 20,30,40 = (1^2*20 + 2^2*30 + 3^2*40) / 14
// = (20 + 120 + 360) / 14 = 500 / 14 = 35.7142857...
Assert.Equal(500.0 / 14.0, pwma.Last.Value, 1e-10);
}
[Fact]
public void Pwma_IterativeCorrections_RestoreToOriginalState()
{
var pwma = new Pwma(5);
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);
pwma.Update(tenthInput, isNew: true);
}
// Remember PWMA state after 10 values
double pwmaAfterTen = pwma.Last.Value;
// Generate 9 corrections with isNew=false (different values)
for (int i = 0; i < 9; i++)
{
var bar = gbm.Next(isNew: false);
pwma.Update(new TValue(bar.Time, bar.Close), isNew: false);
}
// Feed the remembered 10th input again with isNew=false
TValue finalPwma = pwma.Update(tenthInput, isNew: false);
// PWMA should match the original state after 10 values
Assert.Equal(pwmaAfterTen, finalPwma.Value, 1e-10);
}
[Fact]
public void Pwma_BatchCalc_MatchesIterativeCalc()
{
var pwmaIterative = new Pwma(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(pwmaIterative.Update(item));
}
// Calculate batch
var batchResults = Pwma.Batch(series, 10);
// 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 Pwma_NaN_Input_UsesLastValidValue()
{
var pwma = new Pwma(5);
// Feed some valid values
pwma.Update(new TValue(DateTime.UtcNow, 100));
pwma.Update(new TValue(DateTime.UtcNow, 110));
// Feed NaN - should use last valid value (110)
var resultAfterNaN = pwma.Update(new TValue(DateTime.UtcNow, double.NaN));
// Result should be finite (not NaN)
Assert.True(double.IsFinite(resultAfterNaN.Value));
Assert.NotEqual(0, resultAfterNaN.Value);
}
[Fact]
public void Pwma_Infinity_Input_UsesLastValidValue()
{
var pwma = new Pwma(5);
// Feed some valid values
pwma.Update(new TValue(DateTime.UtcNow, 100));
pwma.Update(new TValue(DateTime.UtcNow, 110));
// Feed positive infinity - should use last valid value
var resultAfterPosInf = pwma.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
Assert.True(double.IsFinite(resultAfterPosInf.Value));
// Feed negative infinity - should use last valid value
var resultAfterNegInf = pwma.Update(new TValue(DateTime.UtcNow, double.NegativeInfinity));
Assert.True(double.IsFinite(resultAfterNegInf.Value));
}
[Fact]
public void Pwma_StaticCalculate_Works()
{
var series = new TSeries();
series.Add(DateTime.UtcNow.Ticks, 10);
series.Add(DateTime.UtcNow.Ticks + 1, 20);
series.Add(DateTime.UtcNow.Ticks + 2, 30);
var results = Pwma.Batch(series, 3);
Assert.Equal(3, results.Count);
// PWMA(3) for last 3 values [10,20,30]: 360/14
Assert.Equal(360.0 / 14.0, results.Last.Value, 1e-10);
}
[Fact]
public void Pwma_MoreWeightOnRecentValues_ThanWma()
{
var pwma = new Pwma(3);
var wma = new Wma(3);
// Feed same values to both
pwma.Update(new TValue(DateTime.UtcNow, 10));
wma.Update(new TValue(DateTime.UtcNow, 10));
pwma.Update(new TValue(DateTime.UtcNow, 20));
wma.Update(new TValue(DateTime.UtcNow, 20));
pwma.Update(new TValue(DateTime.UtcNow, 100)); // High recent value
wma.Update(new TValue(DateTime.UtcNow, 100));
// PWMA should be higher than WMA because it weights the high recent value even more (parabolically)
// WMA = (1*10 + 2*20 + 3*100) / 6 = 350/6 = 58.333...
// PWMA = (1*10 + 4*20 + 9*100) / 14 = 990/14 = 70.714...
Assert.True(pwma.Last.Value > wma.Last.Value);
Assert.Equal(990.0 / 14.0, pwma.Last.Value, 1e-10);
Assert.Equal(350.0 / 6.0, wma.Last.Value, 1e-10);
}
// ============== Span API Tests ==============
[Fact]
public void Pwma_SpanCalc_ValidatesInput()
{
double[] source = [1, 2, 3, 4, 5];
double[] output = new double[5];
double[] wrongSizeOutput = new double[3];
// Period must be > 0
Assert.Throws<ArgumentException>(() => Pwma.Calculate(source.AsSpan(), output.AsSpan(), 0));
Assert.Throws<ArgumentException>(() => Pwma.Calculate(source.AsSpan(), output.AsSpan(), -1));
// Output must be same length as source
Assert.Throws<ArgumentException>(() => Pwma.Calculate(source.AsSpan(), wrongSizeOutput.AsSpan(), 3));
}
[Fact]
public void Pwma_SpanCalc_MatchesTSeriesCalc()
{
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 = Pwma.Batch(series, 10);
// Calculate with Span API
Pwma.Calculate(source.AsSpan(), output.AsSpan(), 10);
// Compare results
for (int i = 0; i < 100; i++)
{
Assert.Equal(tseriesResult[i].Value, output[i], 1e-10);
}
}
[Fact]
public void Pwma_SpanCalc_CalculatesCorrectly()
{
double[] source = [10, 20, 30];
double[] output = new double[3];
Pwma.Calculate(source.AsSpan(), output.AsSpan(), 3);
// PWMA(3) warmup:
// i=0: 10 (1^2*10 / 1^2) = 10
// i=1: (1^2*10 + 2^2*20) / (1^2 + 2^2) = (10 + 80) / 5 = 90/5 = 18
// i=2: (1^2*10 + 2^2*20 + 3^2*30) / (1^2 + 2^2 + 3^2) = (10 + 80 + 270) / 14 = 360/14 = 25.714...
Assert.Equal(10.0, output[0], 1e-10);
Assert.Equal(18.0, output[1], 1e-10);
Assert.Equal(360.0 / 14.0, output[2], 1e-10);
}
[Fact]
public void Pwma_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 = Pwma.Batch(series, period);
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];
Pwma.Calculate(spanInput, spanOutput, period);
double spanResult = spanOutput[^1];
// 3. Streaming Mode
var streamingInd = new Pwma(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 Pwma(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: 8);
Assert.Equal(expected, eventingResult, precision: 8);
}
}