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_IIR/mcnma/tests/Mcnma.Quantower.Tests.cs

@@ -0,0 +1,148 @@
+using TradingPlatform.BusinessLayer;
+
+namespace QuanTAlib.Tests;
+
+public class McnmaIndicatorTests
+{
+    [Fact]
+    public void McnmaIndicator_Constructor_SetsDefaults()
+    {
+        var indicator = new McnmaIndicator();
+
+        Assert.Equal(14, indicator.Period);
+        Assert.Equal(SourceType.Close, indicator.Source);
+        Assert.True(indicator.ShowColdValues);
+        Assert.Equal("MCNMA - McNicholl EMA", indicator.Name);
+        Assert.False(indicator.SeparateWindow);
+        Assert.True(indicator.OnBackGround);
+    }
+
+    [Fact]
+    public void McnmaIndicator_MinHistoryDepths_EqualsZero()
+    {
+        var indicator = new McnmaIndicator { Period = 20 };
+
+        Assert.Equal(0, McnmaIndicator.MinHistoryDepths);
+        Assert.Equal(0, ((IWatchlistIndicator)indicator).MinHistoryDepths);
+    }
+
+    [Fact]
+    public void McnmaIndicator_ShortName_IncludesPeriodAndSource()
+    {
+        var indicator = new McnmaIndicator { Period = 15 };
+
+        Assert.Contains("MCNMA", indicator.ShortName, StringComparison.Ordinal);
+        Assert.Contains("15", indicator.ShortName, StringComparison.Ordinal);
+    }
+
+    [Fact]
+    public void McnmaIndicator_SourceCodeLink_IsValid()
+    {
+        var indicator = new McnmaIndicator();
+
+        Assert.Contains("github.com", indicator.SourceCodeLink, StringComparison.Ordinal);
+        Assert.Contains("Mcnma.Quantower.cs", indicator.SourceCodeLink, StringComparison.Ordinal);
+    }
+
+    [Fact]
+    public void McnmaIndicator_Initialize_CreatesInternalMcnma()
+    {
+        var indicator = new McnmaIndicator { Period = 14 };
+
+        indicator.Initialize();
+
+        Assert.Single(indicator.LinesSeries);
+    }
+
+    [Fact]
+    public void McnmaIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
+    {
+        var indicator = new McnmaIndicator { Period = 3 };
+        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 McnmaIndicator_ProcessUpdate_NewBar_ComputesValue()
+    {
+        var indicator = new McnmaIndicator { Period = 3 };
+        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 McnmaIndicator_ProcessUpdate_NewTick_ProcessesWithoutError()
+    {
+        var indicator = new McnmaIndicator { Period = 3 };
+        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 McnmaIndicator_MultipleUpdates_ProducesCorrectSequence()
+    {
+        var indicator = new McnmaIndicator { Period = 3 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        double[] closes = { 100, 102, 104, 103, 105 };
+
+        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 McnmaIndicator_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 McnmaIndicator { Period = 3, 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");
+        }
+    }
+}

lib/trends_IIR/mcnma/tests/Mcnma.Tests.cs

@@ -0,0 +1,323 @@
+namespace QuanTAlib.Tests;
+
+public class McnmaTests
+{
+    [Fact]
+    public void Mcnma_Matches_ManualCalculation()
+    {
+        // Manual 6-EMA with first-value seeding (matches Pine exactly)
+        const int period = 10;
+        double alpha = 2.0 / (period + 1);
+        double decay = 1.0 - alpha;
+        var mcnma = new Mcnma(period);
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
+
+        double e1 = 0, e2 = 0, e3 = 0, e4 = 0, e5 = 0, e6 = 0;
+        bool init = false;
+
+        for (int i = 0; i < 100; i++)
+        {
+            var bar = gbm.Next(isNew: true);
+            var tVal = new TValue(bar.Time, bar.Close);
+
+            var mVal = mcnma.Update(tVal);
+
+            double val = tVal.Value;
+            if (!init)
+            {
+                e1 = e2 = e3 = e4 = e5 = e6 = val;
+                init = true;
+                Assert.Equal(val, mVal.Value, 1e-9);
+                continue;
+            }
+
+            e1 = Math.FusedMultiplyAdd(e1, decay, alpha * val);
+            e2 = Math.FusedMultiplyAdd(e2, decay, alpha * e1);
+            e3 = Math.FusedMultiplyAdd(e3, decay, alpha * e2);
+            double tema1 = 3.0 * e1 - 3.0 * e2 + e3;
+
+            e4 = Math.FusedMultiplyAdd(e4, decay, alpha * tema1);
+            e5 = Math.FusedMultiplyAdd(e5, decay, alpha * e4);
+            e6 = Math.FusedMultiplyAdd(e6, decay, alpha * e5);
+            double tema2 = 3.0 * e4 - 3.0 * e5 + e6;
+
+            double expected = 2.0 * tema1 - tema2;
+            Assert.Equal(expected, mVal.Value, 1e-9);
+        }
+    }
+
+    [Fact]
+    public void StaticCalculate_Matches_ObjectUpdate()
+    {
+        const int period = 10;
+        var source = new TSeries();
+
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
+        for (int i = 0; i < 100; i++)
+        {
+            var bar = gbm.Next(isNew: true);
+            source.Add(new TValue(bar.Time, bar.Close));
+        }
+
+        var mcnmaSeries = Mcnma.Batch(source, period);
+        var mcnmaObj = new Mcnma(period);
+
+        for (int i = 0; i < source.Count; i++)
+        {
+            var val = mcnmaObj.Update(source[i]);
+            Assert.Equal(val.Value, mcnmaSeries[i].Value, 1e-9);
+        }
+    }
+
+    [Fact]
+    public void ZeroAllocCalculate_Matches_ObjectUpdate()
+    {
+        const int period = 10;
+        const int count = 100;
+        var source = new double[count];
+        var output = new double[count];
+
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
+        for (int i = 0; i < count; i++)
+        {
+            source[i] = gbm.Next().Close;
+        }
+
+        Mcnma.Batch(source, output, period);
+        var mcnmaObj = new Mcnma(period);
+
+        for (int i = 0; i < count; i++)
+        {
+            var val = mcnmaObj.Update(new TValue(DateTime.UtcNow, source[i]));
+            Assert.Equal(val.Value, output[i], 1e-9);
+        }
+    }
+
+    [Fact]
+    public void Alpha_Constructor_Matches_Period_Constructor()
+    {
+        const int period = 10;
+        double alpha = 2.0 / (period + 1);
+        var mcnmaPeriod = new Mcnma(period);
+        var mcnmaAlpha = new Mcnma(alpha);
+
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
+
+        for (int i = 0; i < 100; i++)
+        {
+            var bar = gbm.Next(isNew: true);
+            var tVal = new TValue(bar.Time, bar.Close);
+
+            var pVal = mcnmaPeriod.Update(tVal);
+            var aVal = mcnmaAlpha.Update(tVal);
+
+            Assert.Equal(pVal.Value, aVal.Value, 1e-9);
+        }
+    }
+
+    [Fact]
+    public void Alpha_Constructor_Sets_WarmupPeriod()
+    {
+        const int period = 10;
+        double alpha = 2.0 / (period + 1);
+        var mcnma = new Mcnma(alpha);
+        Assert.Equal(period, mcnma.WarmupPeriod);
+    }
+
+    [Fact]
+    public void StaticCalculate_Alpha_Matches_ObjectUpdate()
+    {
+        const double alpha = 0.15;
+        var source = new TSeries();
+
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
+        for (int i = 0; i < 100; i++)
+        {
+            var bar = gbm.Next(isNew: true);
+            source.Add(new TValue(bar.Time, bar.Close));
+        }
+
+        var mcnmaSeries = Mcnma.Batch(source, alpha);
+        var mcnmaObj = new Mcnma(alpha);
+
+        for (int i = 0; i < source.Count; i++)
+        {
+            var val = mcnmaObj.Update(source[i]);
+            Assert.Equal(val.Value, mcnmaSeries[i].Value, 1e-9);
+        }
+    }
+
+    [Fact]
+    public void ZeroAllocCalculate_Alpha_Matches_ObjectUpdate()
+    {
+        const double alpha = 0.15;
+        const int count = 100;
+        var source = new double[count];
+        var output = new double[count];
+
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
+        for (int i = 0; i < count; i++)
+        {
+            source[i] = gbm.Next().Close;
+        }
+
+        Mcnma.Batch(source, output, alpha);
+        var mcnmaObj = new Mcnma(alpha);
+
+        for (int i = 0; i < count; i++)
+        {
+            var val = mcnmaObj.Update(new TValue(DateTime.UtcNow, source[i]));
+            Assert.Equal(val.Value, output[i], 1e-9);
+        }
+    }
+
+    [Fact]
+    public void Mcnma_Constructor_ValidatesInput()
+    {
+        Assert.Throws<ArgumentException>(() => new Mcnma(0));
+        Assert.Throws<ArgumentException>(() => new Mcnma(-1));
+        Assert.Throws<ArgumentException>(() => new Mcnma(0.0));
+        Assert.Throws<ArgumentException>(() => new Mcnma(1.1));
+    }
+
+    [Fact]
+    public void Mcnma_Calc_IsNew_AcceptsParameter()
+    {
+        var mcnma = new Mcnma(10);
+        mcnma.Update(new TValue(DateTime.UtcNow, 100), isNew: true);
+        Assert.Equal(100, mcnma.Last.Value);
+    }
+
+    [Fact]
+    public void Mcnma_Reset_ClearsState()
+    {
+        var mcnma = new Mcnma(10);
+        mcnma.Update(new TValue(DateTime.UtcNow, 100));
+        mcnma.Update(new TValue(DateTime.UtcNow, 110));
+
+        mcnma.Reset();
+
+        Assert.Equal(0, mcnma.Last.Value);
+        Assert.False(mcnma.IsHot);
+    }
+
+    [Fact]
+    public void Mcnma_IterativeCorrections_RestoreToOriginalState()
+    {
+        var mcnma = new Mcnma(10);
+        var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1);
+
+        TValue tenthInput = default;
+        for (int i = 0; i < 10; i++)
+        {
+            var bar = gbm.Next(isNew: true);
+            tenthInput = new TValue(bar.Time, bar.Close);
+            mcnma.Update(tenthInput, isNew: true);
+        }
+
+        double valueAfterTen = mcnma.Last.Value;
+
+        for (int i = 0; i < 9; i++)
+        {
+            var bar = gbm.Next(isNew: false);
+            mcnma.Update(new TValue(bar.Time, bar.Close), isNew: false);
+        }
+
+        TValue finalValue = mcnma.Update(tenthInput, isNew: false);
+
+        Assert.Equal(valueAfterTen, finalValue.Value, 1e-9);
+    }
+
+    [Fact]
+    public void Mcnma_NaN_Input_UsesLastValidValue()
+    {
+        var mcnma = new Mcnma(10);
+        mcnma.Update(new TValue(DateTime.UtcNow, 100));
+        mcnma.Update(new TValue(DateTime.UtcNow, 110));
+
+        var resultAfterNaN = mcnma.Update(new TValue(DateTime.UtcNow, double.NaN));
+
+        Assert.True(double.IsFinite(resultAfterNaN.Value));
+        Assert.NotEqual(0, resultAfterNaN.Value);
+    }
+
+    [Fact]
+    public void Mcnma_SpanCalc_ValidatesInput()
+    {
+        double[] source = [1, 2, 3, 4, 5];
+        double[] output = new double[5];
+        double[] wrongSizeOutput = new double[3];
+
+        Assert.Throws<ArgumentException>(() => Mcnma.Batch(source.AsSpan(), output.AsSpan(), 0));
+        Assert.Throws<ArgumentException>(() => Mcnma.Batch(source.AsSpan(), wrongSizeOutput.AsSpan(), 3));
+    }
+
+    [Fact]
+    public void Mcnma_SpanCalc_HandlesNaN()
+    {
+        double[] source = [100, 110, double.NaN, 120, 130];
+        double[] output = new double[5];
+
+        Mcnma.Batch(source.AsSpan(), output.AsSpan(), 3);
+
+        foreach (var val in output)
+        {
+            Assert.True(double.IsFinite(val));
+        }
+    }
+
+    [Fact]
+    public void Mcnma_AllModes_ProduceSameResult()
+    {
+        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 = Mcnma.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];
+        Mcnma.Batch(spanInput, spanOutput, period);
+        double spanResult = spanOutput[^1];
+
+        // 3. Streaming Mode
+        var streamingInd = new Mcnma(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 Mcnma(pubSource, period);
+        for (int i = 0; i < series.Count; i++)
+        {
+            pubSource.Add(series[i]);
+        }
+        double eventingResult = eventingInd.Last.Value;
+
+        Assert.Equal(expected, spanResult, precision: 9);
+        Assert.Equal(expected, streamingResult, precision: 9);
+        Assert.Equal(expected, eventingResult, precision: 9);
+    }
+
+    [Fact]
+    public void StaticCalculate_HandlesInitialNaN_Correctly()
+    {
+        double[] source = { double.NaN, double.NaN, 10.0, 11.0, 12.0 };
+        double[] output = new double[source.Length];
+
+        Mcnma.Batch(source, output, 3);
+
+        Assert.True(double.IsNaN(output[0]), $"Output[0] should be NaN, but was {output[0]}");
+        Assert.True(double.IsNaN(output[1]), $"Output[1] should be NaN, but was {output[1]}");
+
+        Assert.Equal(10.0, output[2], 1e-9);
+    }
+}

lib/trends_IIR/mcnma/tests/Mcnma.Validation.Tests.cs

@@ -0,0 +1,223 @@
+using Xunit.Abstractions;
+
+namespace QuanTAlib.Tests;
+
+public sealed class McnmaValidationTests : IDisposable
+{
+    private readonly ValidationTestData _testData;
+    private readonly ITestOutputHelper _output;
+    private bool _disposed;
+
+    public McnmaValidationTests(ITestOutputHelper output)
+    {
+        _output = output;
+        _testData = new ValidationTestData();
+    }
+
+    public void Dispose()
+    {
+        Dispose(true);
+    }
+
+    private void Dispose(bool disposing)
+    {
+        if (_disposed)
+        {
+            return;
+        }
+
+        _disposed = true;
+
+        if (disposing)
+        {
+            _testData?.Dispose();
+        }
+    }
+
+    [Fact]
+    public void Validate_ManualTemaComposition_Batch()
+    {
+        // Manual 6-EMA with first-value seeding (matches Pine exactly)
+        int[] periods = { 5, 10, 14, 20, 50 };
+
+        foreach (var period in periods)
+        {
+            var mcnma = new Mcnma(period);
+            var qResult = mcnma.Update(_testData.Data);
+
+            double alpha = 2.0 / (period + 1);
+            double decay = 1.0 - alpha;
+            double e1 = 0, e2 = 0, e3 = 0, e4 = 0, e5 = 0, e6 = 0;
+            bool init = false;
+            var manualResults = new List<double>();
+
+            for (int i = 0; i < _testData.Data.Count; i++)
+            {
+                double val = _testData.Data[i].Value;
+                if (!init)
+                {
+                    e1 = e2 = e3 = e4 = e5 = e6 = val;
+                    init = true;
+                    manualResults.Add(val);
+                    continue;
+                }
+
+                e1 = Math.FusedMultiplyAdd(e1, decay, alpha * val);
+                e2 = Math.FusedMultiplyAdd(e2, decay, alpha * e1);
+                e3 = Math.FusedMultiplyAdd(e3, decay, alpha * e2);
+                double tema1 = 3.0 * e1 - 3.0 * e2 + e3;
+
+                e4 = Math.FusedMultiplyAdd(e4, decay, alpha * tema1);
+                e5 = Math.FusedMultiplyAdd(e5, decay, alpha * e4);
+                e6 = Math.FusedMultiplyAdd(e6, decay, alpha * e5);
+                double tema2 = 3.0 * e4 - 3.0 * e5 + e6;
+
+                manualResults.Add(2.0 * tema1 - tema2);
+            }
+
+            for (int i = 0; i < qResult.Count; i++)
+            {
+                Assert.Equal(manualResults[i], qResult[i].Value, 1e-9);
+            }
+        }
+        _output.WriteLine("MCNMA Batch(TSeries) validated successfully against manual 6-EMA composition");
+    }
+
+    [Fact]
+    public void Validate_StreamingVsBatch_Consistency()
+    {
+        int[] periods = { 5, 10, 14, 20 };
+
+        foreach (var period in periods)
+        {
+            var batchResult = Mcnma.Batch(_testData.Data, period);
+
+            var streaming = new Mcnma(period);
+            for (int i = 0; i < _testData.Data.Count; i++)
+            {
+                streaming.Update(_testData.Data[i]);
+            }
+
+            int start = Math.Max(0, _testData.Data.Count - 100);
+            for (int i = start; i < _testData.Data.Count; i++)
+            {
+                Assert.Equal(batchResult[i].Value, batchResult[i].Value, 1e-9);
+            }
+        }
+        _output.WriteLine("MCNMA Streaming vs Batch validated successfully");
+    }
+
+    [Fact]
+    public void Validate_SpanVsStreaming_Consistency()
+    {
+        int[] periods = { 5, 10, 14, 20 };
+        double[] sourceData = _testData.RawData.ToArray();
+
+        foreach (var period in periods)
+        {
+            double[] spanOutput = new double[sourceData.Length];
+            Mcnma.Batch(sourceData.AsSpan(), spanOutput.AsSpan(), period);
+
+            var streaming = new Mcnma(period);
+            for (int i = 0; i < sourceData.Length; i++)
+            {
+                var val = streaming.Update(new TValue(DateTime.UtcNow, sourceData[i]));
+                Assert.Equal(val.Value, spanOutput[i], 1e-9);
+            }
+        }
+        _output.WriteLine("MCNMA Span vs Streaming validated successfully");
+    }
+
+    [Fact]
+    public void Validate_ConstantInput_ConvergesToInput()
+    {
+        // With constant input, all EMAs converge to the constant.
+        // TEMA(const) = 3*const - 3*const + const = const
+        // MCNMA = 2*const - const = const
+        const double constantValue = 42.0;
+        const int period = 10;
+
+        var mcnma = new Mcnma(period);
+        double lastResult = 0;
+
+        for (int i = 0; i < 200; i++)
+        {
+            var result = mcnma.Update(new TValue(DateTime.UtcNow, constantValue));
+            lastResult = result.Value;
+        }
+
+        Assert.Equal(constantValue, lastResult, 1e-6);
+        _output.WriteLine("MCNMA constant input convergence validated successfully");
+    }
+
+    [Fact]
+    public void Validate_Against_ManualFormula()
+    {
+        // Manual 6-EMA with first-value seeding (matches Pine exactly)
+        int[] periods = { 5, 10, 14, 20 };
+
+        foreach (var period in periods)
+        {
+            var mcnma = new Mcnma(period);
+            double alpha = 2.0 / (period + 1);
+            double decay = 1.0 - alpha;
+            double e1 = 0, e2 = 0, e3 = 0, e4 = 0, e5 = 0, e6 = 0;
+            bool init = false;
+
+            for (int i = 0; i < _testData.Data.Count; i++)
+            {
+                var item = _testData.Data[i];
+                var qVal = mcnma.Update(item);
+                double val = item.Value;
+
+                if (!init)
+                {
+                    e1 = e2 = e3 = e4 = e5 = e6 = val;
+                    init = true;
+                    Assert.Equal(val, qVal.Value, ValidationHelper.DefaultTolerance);
+                    continue;
+                }
+
+                e1 = Math.FusedMultiplyAdd(e1, decay, alpha * val);
+                e2 = Math.FusedMultiplyAdd(e2, decay, alpha * e1);
+                e3 = Math.FusedMultiplyAdd(e3, decay, alpha * e2);
+                double tema1 = 3.0 * e1 - 3.0 * e2 + e3;
+
+                e4 = Math.FusedMultiplyAdd(e4, decay, alpha * tema1);
+                e5 = Math.FusedMultiplyAdd(e5, decay, alpha * e4);
+                e6 = Math.FusedMultiplyAdd(e6, decay, alpha * e5);
+                double tema2 = 3.0 * e4 - 3.0 * e5 + e6;
+
+                double manualVal = 2.0 * tema1 - tema2;
+                Assert.Equal(manualVal, qVal.Value, ValidationHelper.DefaultTolerance);
+            }
+        }
+        _output.WriteLine("MCNMA validated successfully against manual 6-EMA formula");
+    }
+
+    [Fact]
+    public void Validate_NaN_Robustness()
+    {
+        const int period = 10;
+        var mcnma = new Mcnma(period);
+
+        for (int i = 0; i < 20; i++)
+        {
+            mcnma.Update(new TValue(DateTime.UtcNow, 100.0 + i));
+        }
+
+        var nanResult = mcnma.Update(new TValue(DateTime.UtcNow, double.NaN));
+        Assert.True(double.IsFinite(nanResult.Value), "MCNMA should handle NaN with last-valid substitution");
+
+        var infResult = mcnma.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
+        Assert.True(double.IsFinite(infResult.Value), "MCNMA should handle Infinity with last-valid substitution");
+
+        var negInfResult = mcnma.Update(new TValue(DateTime.UtcNow, double.NegativeInfinity));
+        Assert.True(double.IsFinite(negInfResult.Value), "MCNMA should handle -Infinity with last-valid substitution");
+
+        var resumeResult = mcnma.Update(new TValue(DateTime.UtcNow, 125.0));
+        Assert.True(double.IsFinite(resumeResult.Value), "MCNMA should resume cleanly after invalid inputs");
+
+        _output.WriteLine("MCNMA NaN/Infinity robustness validated successfully");
+    }
+}