namespace QuanTAlib.Tests; public class HwmaTests { [Fact] public void Hwma_Constructor_ValidatesInput() { var ex1 = Assert.Throws(() => new Hwma(0)); Assert.Equal("period", ex1.ParamName); var ex2 = Assert.Throws(() => new Hwma(-1)); Assert.Equal("period", ex2.ParamName); var hwma = new Hwma(10); Assert.NotNull(hwma); } [Fact] public void Hwma_AlphaConstructor_ValidatesInput() { var ex1 = Assert.Throws(() => new Hwma(0.0, 0.1, 0.1)); Assert.Equal("alpha", ex1.ParamName); var ex2 = Assert.Throws(() => new Hwma(1.5, 0.1, 0.1)); Assert.Equal("alpha", ex2.ParamName); var ex3 = Assert.Throws(() => new Hwma(0.5, -0.1, 0.1)); Assert.Equal("beta", ex3.ParamName); var ex4 = Assert.Throws(() => new Hwma(0.5, 0.1, 1.5)); Assert.Equal("gamma", ex4.ParamName); var hwma = new Hwma(0.2, 0.1, 0.1); Assert.NotNull(hwma); } [Fact] public void Hwma_Calc_ReturnsValue() { var hwma = new Hwma(10); TValue result = hwma.Update(new TValue(DateTime.UtcNow, 100)); Assert.True(result.Value > 0); } [Fact] public void Hwma_IsHot_BecomesTrueImmediately() { // HWMA is recursive - it's hot after first valid value var hwma = new Hwma(5); Assert.False(hwma.IsHot); hwma.Update(new TValue(DateTime.UtcNow, 100)); Assert.True(hwma.IsHot); } [Fact] public void Hwma_StreamingMatchesBatch() { var hwmaStreaming = new Hwma(10); var hwmaBatch = new Hwma(10); var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42); var series = new TSeries(); for (int i = 0; i < 100; i++) { var bar = gbm.Next(isNew: true); series.Add(new TValue(bar.Time, bar.Close)); } // Streaming var streamingResults = new TSeries(); Assert.True(series.Count > 0); foreach (var item in series) { streamingResults.Add(hwmaStreaming.Update(item)); } // Batch var batchResults = hwmaBatch.Update(series); Assert.Equal(streamingResults.Count, batchResults.Count); for (int i = 0; i < batchResults.Count; i++) { Assert.Equal(streamingResults[i].Value, batchResults[i].Value, 1e-9); } } [Fact] public void Hwma_StaticCalculate_MatchesInstance() { var series = new TSeries(); var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42); for (int i = 0; i < 100; i++) { var bar = gbm.Next(isNew: true); series.Add(bar.Time, bar.Close); } var instanceResults = new Hwma(10).Update(series); var staticResults = Hwma.Batch(series, 10); for (int i = 0; i < instanceResults.Count; i++) { Assert.Equal(instanceResults[i].Value, staticResults[i].Value, 1e-9); } } [Fact] public void Hwma_SpanCalculate_MatchesSeries() { var series = new TSeries(); var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42); for (int i = 0; i < 100; i++) { var bar = gbm.Next(isNew: true); series.Add(bar.Time, bar.Close); } var seriesResults = Hwma.Batch(series, 10); double[] input = series.Values.ToArray(); double[] output = new double[input.Length]; Hwma.Batch(input.AsSpan(), output.AsSpan(), 10); for (int i = 0; i < input.Length; i++) { Assert.Equal(seriesResults[i].Value, output[i], 1e-9); } } [Fact] public void Hwma_Update_IsNewFalse_CorrectsValue() { var hwma = new Hwma(10); var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42); // Feed initial data for (int i = 0; i < 20; i++) { var bar = gbm.Next(isNew: true); hwma.Update(new TValue(bar.Time, bar.Close), isNew: true); } // Update with isNew=false (correction) var newBar = gbm.Next(isNew: true); hwma.Update(new TValue(newBar.Time, newBar.Close), isNew: true); double valueAfterCommit = hwma.Last.Value; // Now update the SAME bar with a different value hwma.Update(new TValue(newBar.Time, newBar.Close + 10.0), isNew: false); double valueAfterCorrection = hwma.Last.Value; Assert.NotEqual(valueAfterCommit, valueAfterCorrection); // Now restore original value hwma.Update(new TValue(newBar.Time, newBar.Close), isNew: false); Assert.Equal(valueAfterCommit, hwma.Last.Value, 1e-9); } [Fact] public void Hwma_NaN_Input_UsesLastValidValue() { var hwma = new Hwma(5); hwma.Update(new TValue(DateTime.UtcNow, 100)); hwma.Update(new TValue(DateTime.UtcNow, 110)); var resultAfterNaN = hwma.Update(new TValue(DateTime.UtcNow, double.NaN)); Assert.True(double.IsFinite(resultAfterNaN.Value)); Assert.NotEqual(0, resultAfterNaN.Value); } [Fact] public void Hwma_Reset_ClearsState() { var hwma = new Hwma(10); hwma.Update(new TValue(DateTime.UtcNow, 100)); hwma.Update(new TValue(DateTime.UtcNow, 110)); Assert.True(hwma.Last.Value > 0); Assert.True(hwma.IsHot); hwma.Reset(); Assert.Equal(0, hwma.Last.Value); Assert.False(hwma.IsHot); } [Fact] public void Hwma_FirstValue_ReturnsInput() { var hwma = new Hwma(10); TValue result = hwma.Update(new TValue(DateTime.UtcNow, 100)); Assert.Equal(100.0, result.Value, 1e-9); } [Fact] public void Hwma_Properties_Accessible() { var hwma = new Hwma(10); Assert.False(hwma.IsHot); Assert.Equal(0, hwma.Last.Value); } [Fact] public void Hwma_Calc_IsNew_AcceptsParameter() { var hwma = new Hwma(10); hwma.Update(new TValue(DateTime.UtcNow, 100), isNew: true); Assert.Equal(100, hwma.Last.Value); } [Fact] public void Hwma_IterativeCorrections_RestoreToOriginalState() { var hwma = new Hwma(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); hwma.Update(tenthInput, isNew: true); } // Remember state after 10 values double valueAfterTen = hwma.Last.Value; // Generate 9 corrections with isNew=false (different values) for (int i = 0; i < 9; i++) { var bar = gbm.Next(isNew: false); hwma.Update(new TValue(bar.Time, bar.Close), isNew: false); } // Feed the remembered 10th input again with isNew=false TValue finalValue = hwma.Update(tenthInput, isNew: false); // Should match the original state after 10 values Assert.Equal(valueAfterTen, finalValue.Value, 1e-9); } [Fact] public void Hwma_Infinity_Input_UsesLastValidValue() { var hwma = new Hwma(10); hwma.Update(new TValue(DateTime.UtcNow, 100)); hwma.Update(new TValue(DateTime.UtcNow, 110)); var resultPosInf = hwma.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity)); Assert.True(double.IsFinite(resultPosInf.Value)); var resultNegInf = hwma.Update(new TValue(DateTime.UtcNow, double.NegativeInfinity)); Assert.True(double.IsFinite(resultNegInf.Value)); } [Fact] public void Hwma_MultipleNaN_ContinuesWithLastValid() { var hwma = new Hwma(10); hwma.Update(new TValue(DateTime.UtcNow, 100)); var r1 = hwma.Update(new TValue(DateTime.UtcNow, double.NaN)); var r2 = hwma.Update(new TValue(DateTime.UtcNow, double.NaN)); Assert.True(double.IsFinite(r1.Value)); Assert.True(double.IsFinite(r2.Value)); } [Fact] public void Hwma_AllModes_ProduceSameResult() { // Arrange const 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 = Hwma.Batch(series, period); double expected = batchSeries.Last.Value; // 2. Span Mode var tValues = series.Values.ToArray(); var spanInput = new ReadOnlySpan(tValues); var spanOutput = new double[tValues.Length]; Hwma.Batch(spanInput, spanOutput, period); double spanResult = spanOutput[^1]; // 3. Streaming Mode var streamingInd = new Hwma(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 Hwma(pubSource, period); for (int i = 0; i < series.Count; i++) { pubSource.Add(series[i]); } double eventingResult = eventingInd.Last.Value; // Assert Assert.Equal(expected, spanResult, 1e-9); Assert.Equal(expected, streamingResult, 1e-9); Assert.Equal(expected, eventingResult, 1e-9); } [Fact] public void Hwma_SpanCalc_ValidatesInput() { double[] source = [1, 2, 3, 4, 5]; double[] output = new double[5]; double[] wrongSizeOutput = new double[3]; Assert.Throws(() => Hwma.Batch(source.AsSpan(), output.AsSpan(), 0)); Assert.Throws(() => Hwma.Batch(source.AsSpan(), wrongSizeOutput.AsSpan(), 3)); } [Fact] public void Hwma_SpanCalc_HandlesNaN() { double[] source = [100, 110, double.NaN, 120, 130]; double[] output = new double[5]; Hwma.Batch(source.AsSpan(), output.AsSpan(), 3); foreach (var val in output) { Assert.True(double.IsFinite(val)); } } [Fact] public void Hwma_TripleSmoothing_Components() { // Verify the triple smoothing characteristic: tracks level, velocity, acceleration // When price is trending up consistently, HWMA should lead due to velocity/acceleration var hwma = new Hwma(10); // Simulate steady uptrend double[] prices = new double[30]; for (int i = 0; i < 30; i++) { prices[i] = 100 + i * 2; // Linear uptrend } double lastResult = 0; foreach (var price in prices) { var result = hwma.Update(new TValue(DateTime.UtcNow, price)); lastResult = result.Value; } // HWMA should be close to or slightly ahead of current price in strong trend // (due to velocity/acceleration extrapolation) double lastPrice = prices[^1]; Assert.True(Math.Abs(lastResult - lastPrice) < lastPrice * 0.1); // Within 10% } [Fact] public void Hwma_SmoothingFactors_AffectResult() { // Different smoothing factors should produce different results var hwma1 = new Hwma(5); // Higher alpha (more responsive) var hwma2 = new Hwma(20); // Lower alpha (smoother) var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42); for (int i = 0; i < 50; i++) { var bar = gbm.Next(isNew: true); hwma1.Update(new TValue(bar.Time, bar.Close)); hwma2.Update(new TValue(bar.Time, bar.Close)); } // Different periods should produce different results Assert.NotEqual(hwma1.Last.Value, hwma2.Last.Value); } [Fact] public void Hwma_AlphaConstructor_ProducesResults() { // Test the alpha/beta/gamma constructor var hwma = new Hwma(0.2, 0.1, 0.1); var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42); for (int i = 0; i < 20; i++) { var bar = gbm.Next(isNew: true); hwma.Update(new TValue(bar.Time, bar.Close)); } Assert.True(double.IsFinite(hwma.Last.Value)); Assert.True(hwma.Last.Value > 0); } [Fact] public void Hwma_ConstantInput_ReturnsConstant() { var hwma = new Hwma(10); const double constantValue = 100.0; for (int i = 0; i < 20; i++) { var result = hwma.Update(new TValue(DateTime.UtcNow, constantValue)); Assert.Equal(constantValue, result.Value, 1e-9); } } [Fact] public void Hwma_PeriodOne_ReturnsInputValue() { var hwma = new Hwma(1); for (int i = 1; i <= 10; i++) { var input = new TValue(DateTime.UtcNow, i * 10.0); var result = hwma.Update(input); // Period 1 means alpha=1 (full weighting to current), but beta=gamma=1 as well // After warmup, should track closely Assert.True(double.IsFinite(result.Value)); } } }