docs: remove C# Implementation Considerations sections, clean up temp scripts, reorganize test files

- Remove 'C# Implementation Considerations' sections from 34 indicator .md files
- Delete 29 temp PowerShell scripts (_fix_mojibake.ps1, _hex_scan.ps1, etc.)
- Move test files into tests/ subdirectories for consistent project structure
- Add trader-focused bullet points to indicator documentation

lib/trends_FIR/kaiser/tests/Kaiser.Quantower.Tests.cs

@@ -0,0 +1,171 @@
+using TradingPlatform.BusinessLayer;
+
+namespace QuanTAlib.Tests;
+
+public class KaiserIndicatorTests
+{
+    [Fact]
+    public void KaiserIndicator_Constructor_SetsDefaults()
+    {
+        var indicator = new KaiserIndicator();
+
+        Assert.Equal(14, indicator.Period);
+        Assert.Equal(3.0, indicator.Beta);
+        Assert.Equal(SourceType.Close, indicator.Source);
+        Assert.True(indicator.ShowColdValues);
+        Assert.Equal("KAISER - Kaiser Window Moving Average", indicator.Name);
+        Assert.False(indicator.SeparateWindow);
+        Assert.True(indicator.OnBackGround);
+    }
+
+    [Fact]
+    public void KaiserIndicator_MinHistoryDepths_IsZero()
+    {
+        var indicator = new KaiserIndicator { Period = 14 };
+
+        Assert.Equal(0, KaiserIndicator.MinHistoryDepths);
+        Assert.Equal(0, ((IWatchlistIndicator)indicator).MinHistoryDepths);
+    }
+
+    [Fact]
+    public void KaiserIndicator_ShortName_IncludesPeriodAndSource()
+    {
+        var indicator = new KaiserIndicator { Period = 10, Beta = 5.0 };
+
+        Assert.Contains("KAISER", indicator.ShortName, StringComparison.Ordinal);
+        Assert.Contains("10", indicator.ShortName, StringComparison.Ordinal);
+        Assert.Contains("5.0", indicator.ShortName, StringComparison.Ordinal);
+    }
+
+    [Fact]
+    public void KaiserIndicator_SourceCodeLink_IsValid()
+    {
+        var indicator = new KaiserIndicator();
+
+        Assert.Contains("github.com", indicator.SourceCodeLink, StringComparison.Ordinal);
+        Assert.Contains("Kaiser.Quantower.cs", indicator.SourceCodeLink, StringComparison.Ordinal);
+    }
+
+    [Fact]
+    public void KaiserIndicator_Initialize_CreatesInternalKaiser()
+    {
+        var indicator = new KaiserIndicator { Period = 14 };
+
+        indicator.Initialize();
+
+        Assert.Single(indicator.LinesSeries);
+    }
+
+    [Fact]
+    public void KaiserIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
+    {
+        var indicator = new KaiserIndicator { Period = 5 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
+
+        var args = new UpdateArgs(UpdateReason.HistoricalBar);
+        indicator.ProcessUpdate(args);
+
+        Assert.Equal(1, indicator.LinesSeries[0].Count);
+        Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(0)));
+    }
+
+    [Fact]
+    public void KaiserIndicator_ProcessUpdate_NewBar_ComputesValue()
+    {
+        var indicator = new KaiserIndicator { Period = 5 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
+        indicator.HistoricalData.AddBar(now.AddMinutes(1), 102, 108, 100, 106);
+
+        indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
+        indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewBar));
+
+        Assert.Equal(2, indicator.LinesSeries[0].Count);
+    }
+
+    [Fact]
+    public void KaiserIndicator_ProcessUpdate_NewTick_ProcessesWithoutError()
+    {
+        var indicator = new KaiserIndicator { Period = 5 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
+
+        indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
+        double firstValue = indicator.LinesSeries[0].GetValue(0);
+
+        indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick));
+        double secondValue = indicator.LinesSeries[0].GetValue(0);
+
+        Assert.True(double.IsFinite(firstValue));
+        Assert.True(double.IsFinite(secondValue));
+    }
+
+    [Fact]
+    public void KaiserIndicator_MultipleUpdates_ProducesCorrectSequence()
+    {
+        var indicator = new KaiserIndicator { Period = 5 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        double[] closes = { 100, 102, 104, 103, 105, 107, 106 };
+
+        foreach (var close in closes)
+        {
+            indicator.HistoricalData.AddBar(now, close, close + 2, close - 2, close);
+            indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
+            now = now.AddMinutes(1);
+        }
+
+        for (int i = 0; i < closes.Length; i++)
+        {
+            Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(closes.Length - 1 - i)));
+        }
+    }
+
+    [Fact]
+    public void KaiserIndicator_DifferentSourceTypes_Work()
+    {
+        var sources = new[] { SourceType.Open, SourceType.High, SourceType.Low, SourceType.Close, SourceType.HL2, SourceType.HLC3 };
+
+        foreach (var source in sources)
+        {
+            var indicator = new KaiserIndicator { Period = 5, Source = source };
+            indicator.Initialize();
+
+            var now = DateTime.UtcNow;
+            indicator.HistoricalData.AddBar(now, 100, 110, 90, 105);
+            indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
+
+            Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(0)),
+                $"Source {source} should produce finite value");
+        }
+    }
+
+    [Fact]
+    public void KaiserIndicator_Period_CanBeChanged()
+    {
+        var indicator = new KaiserIndicator { Period = 14 };
+        Assert.Equal(14, indicator.Period);
+
+        indicator.Period = 20;
+        Assert.Equal(20, indicator.Period);
+        Assert.Equal(0, KaiserIndicator.MinHistoryDepths);
+    }
+
+    [Fact]
+    public void KaiserIndicator_Beta_CanBeChanged()
+    {
+        var indicator = new KaiserIndicator { Beta = 3.0 };
+        Assert.Equal(3.0, indicator.Beta);
+
+        indicator.Beta = 8.6;
+        Assert.Equal(8.6, indicator.Beta);
+    }
+}

lib/trends_FIR/kaiser/tests/Kaiser.Tests.cs

@@ -0,0 +1,410 @@
+namespace QuanTAlib.Tests;
+
+public class KaiserTests
+{
+    private const int DefaultPeriod = 14;
+    private const double DefaultBeta = 3.0;
+    private const double Epsilon = 1e-10;
+
+    private static TSeries MakeSeries(int count = 500)
+    {
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 42);
+        return gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)).Close;
+    }
+
+    private readonly TSeries _data = MakeSeries();
+
+    // ── A) Constructor validation ──────────────────────────────────────
+
+    [Theory]
+    [InlineData(0)]
+    [InlineData(1)]
+    [InlineData(-5)]
+    public void Constructor_InvalidPeriod_Throws(int period)
+    {
+        var ex = Assert.Throws<ArgumentException>(() => new Kaiser(period));
+        Assert.Equal("period", ex.ParamName);
+    }
+
+    [Fact]
+    public void Constructor_NegativeBeta_Throws()
+    {
+        var ex = Assert.Throws<ArgumentException>(() => new Kaiser(14, beta: -1.0));
+        Assert.Equal("beta", ex.ParamName);
+    }
+
+    [Theory]
+    [InlineData(2)]
+    [InlineData(14)]
+    [InlineData(100)]
+    public void Constructor_ValidPeriod_Succeeds(int period)
+    {
+        var kaiser = new Kaiser(period);
+        Assert.Contains(period.ToString(System.Globalization.CultureInfo.InvariantCulture), kaiser.Name, StringComparison.Ordinal);
+    }
+
+    [Fact]
+    public void Constructor_DefaultBeta_InName()
+    {
+        var kaiser = new Kaiser(14, 3.0);
+        Assert.Equal("Kaiser(14,3.0)", kaiser.Name);
+    }
+
+    [Fact]
+    public void Constructor_NullSource_Throws()
+    {
+        Assert.Throws<NullReferenceException>(() => new Kaiser(null!, DefaultPeriod));
+    }
+
+    // ── B) Basic calculation ───────────────────────────────────────────
+
+    [Fact]
+    public void Update_ReturnsTValue()
+    {
+        var kaiser = new Kaiser(DefaultPeriod);
+        var result = kaiser.Update(new TValue(DateTime.UtcNow, 100.0));
+        Assert.IsType<TValue>(result);
+    }
+
+    [Fact]
+    public void Last_IsAccessible()
+    {
+        var kaiser = new Kaiser(DefaultPeriod);
+        kaiser.Update(new TValue(DateTime.UtcNow, 100.0));
+        Assert.True(double.IsFinite(kaiser.Last.Value));
+    }
+
+    [Fact]
+    public void Name_IsCorrect()
+    {
+        var kaiser = new Kaiser(14, 5.0);
+        Assert.Equal("Kaiser(14,5.0)", kaiser.Name);
+    }
+
+    [Fact]
+    public void Update_ReturnsFiniteValue()
+    {
+        var kaiser = new Kaiser(DefaultPeriod);
+        foreach (var tv in _data)
+        {
+            var result = kaiser.Update(tv);
+            Assert.True(double.IsFinite(result.Value));
+        }
+    }
+
+    // ── C) State + bar correction ──────────────────────────────────────
+
+    [Fact]
+    public void IsNew_True_AdvancesState()
+    {
+        var kaiser = new Kaiser(5);
+        var now = DateTime.UtcNow;
+        kaiser.Update(new TValue(now, 10.0), isNew: true);
+        kaiser.Update(new TValue(now.AddMinutes(1), 20.0), isNew: true);
+        Assert.True(double.IsFinite(kaiser.Last.Value));
+    }
+
+    [Fact]
+    public void IsNew_False_RewritesCurrentBar()
+    {
+        var kaiser = new Kaiser(5, 3.0);
+        var now = DateTime.UtcNow;
+
+        for (int i = 0; i < 10; i++)
+        {
+            kaiser.Update(new TValue(now.AddMinutes(i), 100.0 + i), isNew: true);
+        }
+
+        double beforeCorrection = kaiser.Last.Value;
+        kaiser.Update(new TValue(now.AddMinutes(9), 999.0), isNew: false);
+        double afterCorrection = kaiser.Last.Value;
+
+        Assert.NotEqual(beforeCorrection, afterCorrection, Epsilon);
+    }
+
+    [Fact]
+    public void IterativeCorrections_Restore()
+    {
+        var kaiser = new Kaiser(5, 3.0);
+        var now = DateTime.UtcNow;
+
+        for (int i = 0; i < 10; i++)
+        {
+            kaiser.Update(new TValue(now.AddMinutes(i), 100.0 + i), isNew: true);
+        }
+
+        double original = kaiser.Last.Value;
+
+        for (int c = 0; c < 5; c++)
+        {
+            kaiser.Update(new TValue(now.AddMinutes(9), 200.0 + c), isNew: false);
+        }
+
+        kaiser.Update(new TValue(now.AddMinutes(9), 109.0), isNew: false);
+        Assert.Equal(original, kaiser.Last.Value, Epsilon);
+    }
+
+    [Fact]
+    public void Reset_ClearsState()
+    {
+        var kaiser = new Kaiser(DefaultPeriod);
+        foreach (var tv in _data)
+        {
+            kaiser.Update(tv);
+        }
+
+        kaiser.Reset();
+        Assert.False(kaiser.IsHot);
+    }
+
+    // ── D) Warmup/convergence ──────────────────────────────────────────
+
+    [Fact]
+    public void IsHot_FlipsAtPeriod()
+    {
+        var kaiser = new Kaiser(5);
+        for (int i = 0; i < 4; i++)
+        {
+            kaiser.Update(new TValue(DateTime.UtcNow, 100.0 + i));
+            Assert.False(kaiser.IsHot);
+        }
+        kaiser.Update(new TValue(DateTime.UtcNow, 105.0));
+        Assert.True(kaiser.IsHot);
+    }
+
+    [Fact]
+    public void WarmupPeriod_MatchesPeriod()
+    {
+        var kaiser = new Kaiser(10);
+        Assert.Equal(10, kaiser.WarmupPeriod);
+    }
+
+    // ── E) Robustness ──────────────────────────────────────────────────
+
+    [Fact]
+    public void NaN_UsesLastValidValue()
+    {
+        var kaiser = new Kaiser(5);
+        for (int i = 0; i < 5; i++)
+        {
+            kaiser.Update(new TValue(DateTime.UtcNow, 100.0));
+        }
+
+        kaiser.Update(new TValue(DateTime.UtcNow, double.NaN));
+        Assert.True(double.IsFinite(kaiser.Last.Value));
+    }
+
+    [Fact]
+    public void Infinity_UsesLastValidValue()
+    {
+        var kaiser = new Kaiser(5);
+        for (int i = 0; i < 5; i++)
+        {
+            kaiser.Update(new TValue(DateTime.UtcNow, 100.0));
+        }
+
+        kaiser.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
+        Assert.True(double.IsFinite(kaiser.Last.Value));
+    }
+
+    [Fact]
+    public void BatchNaN_Safe()
+    {
+        var kaiser = new Kaiser(5);
+        var src = MakeSeries(50);
+        var result = kaiser.Update(src);
+        Assert.Equal(src.Count, result.Count);
+        for (int i = 0; i < result.Count; i++)
+        {
+            Assert.True(double.IsFinite(result[i].Value));
+        }
+    }
+
+    // ── F) Consistency (4-API match) ───────────────────────────────────
+
+    [Fact]
+    public void AllModes_ProduceSameResults()
+    {
+        int period = 10;
+        double beta = 3.0;
+        var src = MakeSeries(100);
+
+        // Streaming
+        var streaming = new Kaiser(period, beta);
+        var streamResults = new double[src.Count];
+        for (int i = 0; i < src.Count; i++)
+        {
+            streamResults[i] = streaming.Update(src[i]).Value;
+        }
+
+        // Batch (TSeries)
+        var batchResults = Kaiser.Batch(src, period, beta);
+
+        // Span
+        var spanOutput = new double[src.Count];
+        Kaiser.Batch(src.Values, spanOutput, period, beta);
+
+        // Event-based
+        var publisher = new TSeries();
+        var eventKaiser = new Kaiser(publisher, period, beta);
+        var eventResults = new double[src.Count];
+        for (int i = 0; i < src.Count; i++)
+        {
+            publisher.Add(src[i], isNew: true);
+            eventResults[i] = eventKaiser.Last.Value;
+        }
+
+        for (int i = 0; i < src.Count; i++)
+        {
+            Assert.Equal(streamResults[i], batchResults[i].Value, 1e-6);
+            Assert.Equal(streamResults[i], spanOutput[i], 1e-6);
+            Assert.Equal(streamResults[i], eventResults[i], 1e-6);
+        }
+    }
+
+    // ── G) Span API tests ──────────────────────────────────────────────
+
+    [Fact]
+    public void Batch_Span_MismatchedLengths_Throws()
+    {
+        var src = new double[10];
+        var output = new double[5];
+        var ex = Assert.Throws<ArgumentException>(() => Kaiser.Batch(src, output, 5));
+        Assert.Equal("output", ex.ParamName);
+    }
+
+    [Fact]
+    public void Batch_Span_PeriodTooSmall_Throws()
+    {
+        var src = new double[10];
+        var output = new double[10];
+        var ex = Assert.Throws<ArgumentException>(() => Kaiser.Batch(src, output, 1));
+        Assert.Equal("period", ex.ParamName);
+    }
+
+    [Fact]
+    public void Batch_Span_EmptyInput_NoOp()
+    {
+        var src = ReadOnlySpan<double>.Empty;
+        var output = Span<double>.Empty;
+        Kaiser.Batch(src, output, 5);
+        Assert.True(true);
+    }
+
+    // ── H) Chainability ────────────────────────────────────────────────
+
+    [Fact]
+    public void Pub_Fires()
+    {
+        var kaiser = new Kaiser(5);
+        int count = 0;
+        kaiser.Pub += (object? _, in TValueEventArgs _) => count++;
+        kaiser.Update(new TValue(DateTime.UtcNow, 100.0));
+        Assert.Equal(1, count);
+    }
+
+    [Fact]
+    public void EventBased_Chaining()
+    {
+        var source = new TSeries();
+        using var kaiser = new Kaiser(source, 5);
+
+        source.Add(new TValue(DateTime.UtcNow, 100.0), isNew: true);
+        Assert.True(double.IsFinite(kaiser.Last.Value));
+    }
+
+    [Fact]
+    public void Dispose_UnsubscribesFromSource()
+    {
+        var source = new TSeries();
+        var kaiser = new Kaiser(source, 5);
+        kaiser.Dispose();
+
+        source.Add(new TValue(DateTime.UtcNow, 100.0), isNew: true);
+        Assert.Equal(default, kaiser.Last);
+    }
+
+    [Fact]
+    public void Dispose_Idempotent()
+    {
+        var kaiser = new Kaiser(5);
+        kaiser.Dispose();
+        kaiser.Dispose();
+        Assert.True(true);
+    }
+
+    // ── I) Kaiser-specific: beta behavior ──────────────────────────────
+
+    [Fact]
+    public void BetaZero_ReducesToSma()
+    {
+        int period = 5;
+        var kaiser = new Kaiser(period, beta: 0.0);
+        var sma = new Sma(period);
+
+        var src = MakeSeries(50);
+        for (int i = 0; i < src.Count; i++)
+        {
+            kaiser.Update(src[i]);
+            sma.Update(src[i]);
+        }
+
+        Assert.Equal(sma.Last.Value, kaiser.Last.Value, 1e-8);
+    }
+
+    [Fact]
+    public void HigherBeta_SmoothsMore()
+    {
+        var src = MakeSeries(100);
+        int period = 14;
+
+        var kaiserLow = new Kaiser(period, beta: 1.0);
+        var kaiserHigh = new Kaiser(period, beta: 8.0);
+
+        double sumDiffLow = 0;
+        double sumDiffHigh = 0;
+
+        for (int i = 0; i < src.Count; i++)
+        {
+            double raw = src[i].Value;
+            kaiserLow.Update(src[i]);
+            kaiserHigh.Update(src[i]);
+
+            if (kaiserLow.IsHot && kaiserHigh.IsHot)
+            {
+                sumDiffLow += Math.Abs(raw - kaiserLow.Last.Value);
+                sumDiffHigh += Math.Abs(raw - kaiserHigh.Last.Value);
+            }
+        }
+
+        Assert.True(sumDiffHigh >= sumDiffLow * 0.8);
+    }
+
+    [Fact]
+    public void ConstantInput_ReturnsConstant()
+    {
+        var kaiser = new Kaiser(7, 3.0);
+        for (int i = 0; i < 20; i++)
+        {
+            kaiser.Update(new TValue(DateTime.UtcNow, 42.0));
+        }
+        Assert.Equal(42.0, kaiser.Last.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Calculate_ReturnsResultsAndIndicator()
+    {
+        var (results, indicator) = Kaiser.Calculate(_data, 14, 3.0);
+        Assert.Equal(_data.Count, results.Count);
+        Assert.True(indicator.IsHot);
+    }
+
+    [Fact]
+    public void Prime_SetsState()
+    {
+        var kaiser = new Kaiser(5, 3.0);
+        var src = MakeSeries(20);
+        kaiser.Prime(src.Values);
+        Assert.True(kaiser.IsHot);
+    }
+}

lib/trends_FIR/kaiser/tests/Kaiser.Validation.Tests.cs

@@ -0,0 +1,149 @@
+namespace QuanTAlib.Tests;
+
+using Xunit;
+
+public class KaiserValidationTests
+{
+    private static TSeries MakeSeries(int count = 500)
+    {
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 42);
+        return gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)).Close;
+    }
+
+    private readonly TSeries _data = MakeSeries();
+
+    [Fact]
+    public void Batch_Matches_Streaming()
+    {
+        int period = 14;
+        double beta = 3.0;
+
+        var streaming = new Kaiser(period, beta);
+        var streamResults = new double[_data.Count];
+        for (int i = 0; i < _data.Count; i++)
+        {
+            streamResults[i] = streaming.Update(_data[i]).Value;
+        }
+
+        var batchResults = Kaiser.Batch(_data, period, beta);
+
+        for (int i = 0; i < _data.Count; i++)
+        {
+            Assert.Equal(streamResults[i], batchResults[i].Value, 1e-9);
+        }
+    }
+
+    [Fact]
+    public void Span_Matches_Streaming()
+    {
+        int period = 14;
+        double beta = 3.0;
+
+        var streaming = new Kaiser(period, beta);
+        var streamResults = new double[_data.Count];
+        for (int i = 0; i < _data.Count; i++)
+        {
+            streamResults[i] = streaming.Update(_data[i]).Value;
+        }
+
+        var spanOutput = new double[_data.Count];
+        Kaiser.Batch(_data.Values, spanOutput, period, beta);
+
+        for (int i = 0; i < _data.Count; i++)
+        {
+            Assert.Equal(streamResults[i], spanOutput[i], 1e-9);
+        }
+    }
+
+    [Theory]
+    [InlineData(2)]
+    [InlineData(7)]
+    [InlineData(14)]
+    [InlineData(50)]
+    public void DifferentPeriods_ProduceValidResults(int period)
+    {
+        var kaiser = new Kaiser(period, 3.0);
+        foreach (var tv in _data)
+        {
+            var result = kaiser.Update(tv);
+            Assert.True(double.IsFinite(result.Value));
+        }
+        Assert.True(kaiser.IsHot);
+    }
+
+    [Fact]
+    public void ConstantInput_ConvergesToConstant()
+    {
+        var kaiser = new Kaiser(10, 3.0);
+        for (int i = 0; i < 50; i++)
+        {
+            kaiser.Update(new TValue(DateTime.UtcNow, 42.0));
+        }
+        Assert.Equal(42.0, kaiser.Last.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Calculate_ReturnsHotIndicator()
+    {
+        var (results, indicator) = Kaiser.Calculate(_data, 14, 3.0);
+        Assert.True(indicator.IsHot);
+        Assert.Equal(_data.Count, results.Count);
+    }
+
+    [Fact]
+    public void BarCorrection_Consistency()
+    {
+        int period = 7;
+        var kaiser = new Kaiser(period, 3.0);
+
+        for (int i = 0; i < 20; i++)
+        {
+            kaiser.Update(new TValue(DateTime.UtcNow, 100.0 + i), isNew: true);
+        }
+
+        double original = kaiser.Last.Value;
+
+        kaiser.Update(new TValue(DateTime.UtcNow, 999.0), isNew: false);
+        kaiser.Update(new TValue(DateTime.UtcNow, 119.0), isNew: false);
+
+        Assert.Equal(original, kaiser.Last.Value, 1e-10);
+    }
+
+    [Fact]
+    public void SubsetStability()
+    {
+        int period = 10;
+        double beta = 3.0;
+        var src = MakeSeries(200);
+
+        var full = new Kaiser(period, beta);
+        for (int i = 0; i < src.Count; i++)
+        {
+            full.Update(src[i]);
+        }
+
+        var subset = new Kaiser(period, beta);
+        for (int i = 0; i < src.Count; i++)
+        {
+            subset.Update(src[i]);
+        }
+
+        Assert.Equal(full.Last.Value, subset.Last.Value, 1e-10);
+    }
+
+    [Theory]
+    [InlineData(0.0)]
+    [InlineData(3.0)]
+    [InlineData(5.65)]
+    [InlineData(8.6)]
+    public void DifferentBetas_ProduceValidResults(double beta)
+    {
+        var kaiser = new Kaiser(14, beta);
+        foreach (var tv in _data)
+        {
+            var result = kaiser.Update(tv);
+            Assert.True(double.IsFinite(result.Value));
+        }
+        Assert.True(kaiser.IsHot);
+    }
+}