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/channels/aberr/tests/Aberr.Quantower.Tests.cs

@@ -0,0 +1,218 @@
+using TradingPlatform.BusinessLayer;
+using Xunit;
+
+namespace QuanTAlib.Tests;
+
+public class AberrQuantowerTests
+{
+    [Fact]
+    public void Constructor_SetsDefaults()
+    {
+        var indicator = new AberrIndicator();
+
+        Assert.Equal(20, indicator.Period);
+        Assert.Equal(2.0, indicator.Multiplier);
+        Assert.Equal(SourceType.Close, indicator.Source);
+        Assert.True(indicator.ShowColdValues);
+        Assert.Equal("ABERR - Aberration Bands", indicator.Name);
+        Assert.False(indicator.SeparateWindow);
+        Assert.True(indicator.OnBackGround);
+    }
+
+    [Fact]
+    public void MinHistoryDepths_MatchesPeriod()
+    {
+        var indicator = new AberrIndicator { Period = 25 };
+        Assert.Equal(25, indicator.MinHistoryDepths);
+    }
+
+    [Fact]
+    public void ShortName_IncludesParameters()
+    {
+        var indicator = new AberrIndicator { Period = 15, Multiplier = 1.5 };
+        Assert.Contains("15", indicator.ShortName, StringComparison.Ordinal);
+        Assert.Contains("1.5", indicator.ShortName, StringComparison.Ordinal);
+    }
+
+    [Fact]
+    public void Initialize_CreatesThreeLineSeries()
+    {
+        var indicator = new AberrIndicator { Period = 14 };
+        indicator.Initialize();
+
+        Assert.Equal(3, indicator.LinesSeries.Count);
+        Assert.Equal("Middle", indicator.LinesSeries[0].Name);
+        Assert.Equal("Upper", indicator.LinesSeries[1].Name);
+        Assert.Equal("Lower", indicator.LinesSeries[2].Name);
+    }
+
+    [Fact]
+    public void ProcessUpdate_HistoricalBar_ComputesValue()
+    {
+        var indicator = new AberrIndicator { 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)));
+        Assert.True(double.IsFinite(indicator.LinesSeries[1].GetValue(0)));
+        Assert.True(double.IsFinite(indicator.LinesSeries[2].GetValue(0)));
+    }
+
+    [Fact]
+    public void ProcessUpdate_NewBar_ComputesValue()
+    {
+        var indicator = new AberrIndicator { 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 ProcessUpdate_NewTick_ProcessesWithoutError()
+    {
+        var indicator = new AberrIndicator { Period = 5 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
+
+        indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
+        indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick));
+
+        Assert.Equal(2, indicator.LinesSeries[0].Count);
+    }
+
+    [Fact]
+    public void ProcessUpdate_EmptyData_HandlesGracefully()
+    {
+        var indicator = new AberrIndicator { Period = 5 };
+        indicator.Initialize();
+
+        var args = new UpdateArgs(UpdateReason.NewBar);
+        var exception = Record.Exception(() => indicator.ProcessUpdate(args));
+
+        Assert.Null(exception);
+    }
+
+    [Fact]
+    public void MultipleUpdates_ProducesCorrectSequence()
+    {
+        var indicator = new AberrIndicator { Period = 5 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        for (int i = 0; i < 10; i++)
+        {
+            indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 105 + i, 95 + i, 102 + i);
+            indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
+        }
+
+        Assert.Equal(10, indicator.LinesSeries[0].Count);
+        Assert.Equal(10, indicator.LinesSeries[1].Count);
+        Assert.Equal(10, indicator.LinesSeries[2].Count);
+
+        // All values should be finite
+        for (int i = 0; i < 10; i++)
+        {
+            Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(i)));
+            Assert.True(double.IsFinite(indicator.LinesSeries[1].GetValue(i)));
+            Assert.True(double.IsFinite(indicator.LinesSeries[2].GetValue(i)));
+        }
+    }
+
+    [Fact]
+    public void BandRelationship_UpperAboveLowerBelowMiddle()
+    {
+        var indicator = new AberrIndicator { Period = 5, Multiplier = 2.0 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        // Use varying prices to create volatility
+        var prices = new[] { 100, 105, 98, 110, 95, 115, 92, 118, 90, 120 };
+        for (int i = 0; i < prices.Length; i++)
+        {
+            indicator.HistoricalData.AddBar(now.AddMinutes(i), prices[i], prices[i] + 5, prices[i] - 3, prices[i] + 2, 1000);
+            indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
+        }
+
+        // After warmup, upper >= middle >= lower (when there is volatility)
+        double middle = indicator.LinesSeries[0].GetValue(0);
+        double upper = indicator.LinesSeries[1].GetValue(0);
+        double lower = indicator.LinesSeries[2].GetValue(0);
+
+        Assert.True(upper >= middle, $"Upper ({upper}) should be >= Middle ({middle})");
+        Assert.True(lower <= middle, $"Lower ({lower}) should be <= Middle ({middle})");
+    }
+
+    [Fact]
+    public void Multiplier_AffectsBandWidth()
+    {
+        var now = DateTime.UtcNow;
+
+        // Use varying prices to create volatility
+        var prices = new[] { 100, 105, 98, 110, 95, 115, 92, 118, 90, 120 };
+
+        // Narrow bands with multiplier 1.0
+        var narrowIndicator = new AberrIndicator { Period = 5, Multiplier = 1.0 };
+        narrowIndicator.Initialize();
+
+        // Wide bands with multiplier 3.0
+        var wideIndicator = new AberrIndicator { Period = 5, Multiplier = 3.0 };
+        wideIndicator.Initialize();
+
+        for (int i = 0; i < prices.Length; i++)
+        {
+            narrowIndicator.HistoricalData.AddBar(now.AddMinutes(i), prices[i], prices[i] + 5, prices[i] - 3, prices[i] + 2, 1000);
+            narrowIndicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
+
+            wideIndicator.HistoricalData.AddBar(now.AddMinutes(i), prices[i], prices[i] + 5, prices[i] - 3, prices[i] + 2, 1000);
+            wideIndicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
+        }
+
+        double narrowWidth = narrowIndicator.LinesSeries[1].GetValue(0) - narrowIndicator.LinesSeries[2].GetValue(0);
+        double wideWidth = wideIndicator.LinesSeries[1].GetValue(0) - wideIndicator.LinesSeries[2].GetValue(0);
+
+        Assert.True(wideWidth > narrowWidth, $"Wide bands ({wideWidth}) should be wider than narrow bands ({narrowWidth})");
+    }
+
+    [Fact]
+    public void SourceType_CanBeChanged()
+    {
+        var indicator = new AberrIndicator { Source = SourceType.Close };
+        Assert.Equal(SourceType.Close, indicator.Source);
+
+        indicator.Source = SourceType.HLC3;
+        Assert.Equal(SourceType.HLC3, indicator.Source);
+    }
+
+    [Fact]
+    public void ShowColdValues_CanBeToggled()
+    {
+        var indicator = new AberrIndicator { ShowColdValues = true };
+        Assert.True(indicator.ShowColdValues);
+
+        indicator.ShowColdValues = false;
+        Assert.False(indicator.ShowColdValues);
+    }
+
+    [Fact]
+    public void SourceCodeLink_IsValid()
+    {
+        var indicator = new AberrIndicator();
+        Assert.Contains("github.com", indicator.SourceCodeLink, StringComparison.OrdinalIgnoreCase);
+        Assert.Contains("Aberr.Quantower.cs", indicator.SourceCodeLink, StringComparison.Ordinal);
+    }
+}

lib/channels/aberr/tests/Aberr.Tests.cs

@@ -0,0 +1,674 @@
+namespace QuanTAlib.Tests;
+
+public class AberrTests
+{
+    [Fact]
+    public void Aberr_Constructor_ValidatesInput()
+    {
+        // Period validation
+        Assert.Throws<ArgumentOutOfRangeException>(() => new Aberr(0));
+        Assert.Throws<ArgumentOutOfRangeException>(() => new Aberr(-1));
+
+        // Multiplier validation
+        Assert.Throws<ArgumentOutOfRangeException>(() => new Aberr(10, 0));
+        Assert.Throws<ArgumentOutOfRangeException>(() => new Aberr(10, -1));
+
+        // Valid construction
+        var aberr = new Aberr(10);
+        Assert.NotNull(aberr);
+
+        var aberr2 = new Aberr(20, 3.0);
+        Assert.NotNull(aberr2);
+    }
+
+    [Fact]
+    public void Aberr_Calc_ReturnsValue()
+    {
+        var aberr = new Aberr(10);
+
+        Assert.Equal(0, aberr.Last.Value);
+        Assert.Equal(0, aberr.Upper.Value);
+        Assert.Equal(0, aberr.Lower.Value);
+
+        TValue result = aberr.Update(new TValue(DateTime.UtcNow, 100));
+
+        Assert.True(double.IsFinite(result.Value));
+        Assert.Equal(result.Value, aberr.Last.Value);
+        Assert.True(double.IsFinite(aberr.Upper.Value));
+        Assert.True(double.IsFinite(aberr.Lower.Value));
+    }
+
+    [Fact]
+    public void Aberr_FirstValue_ReturnsExpected()
+    {
+        var aberr = new Aberr(10);
+
+        // First value: source = 100
+        // SMA(1) = 100, Deviation = |100 - 100| = 0, AvgDeviation = 0
+        // Middle = 100, Upper = 100 + 0 = 100, Lower = 100 - 0 = 100
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+
+        Assert.Equal(100.0, aberr.Last.Value, 1e-10);
+        Assert.Equal(100.0, aberr.Upper.Value, 1e-10);
+        Assert.Equal(100.0, aberr.Lower.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Aberr_Calc_IsNew_AcceptsParameter()
+    {
+        var aberr = new Aberr(10);
+
+        aberr.Update(new TValue(DateTime.UtcNow, 100), isNew: true);
+        double value1 = aberr.Last.Value;
+
+        aberr.Update(new TValue(DateTime.UtcNow, 110), isNew: true);
+        double value2 = aberr.Last.Value;
+
+        // Values should change with new data
+        Assert.NotEqual(value1, value2);
+    }
+
+    [Fact]
+    public void Aberr_Calc_IsNew_False_UpdatesValue()
+    {
+        var aberr = new Aberr(10);
+
+        aberr.Update(new TValue(DateTime.UtcNow, 100), isNew: true);
+        aberr.Update(new TValue(DateTime.UtcNow, 110), isNew: true);
+        double beforeUpdate = aberr.Last.Value;
+
+        aberr.Update(new TValue(DateTime.UtcNow, 120), isNew: false);
+        double afterUpdate = aberr.Last.Value;
+
+        // Update should change the value
+        Assert.NotEqual(beforeUpdate, afterUpdate);
+    }
+
+    [Fact]
+    public void Aberr_Reset_ClearsState()
+    {
+        var aberr = new Aberr(10);
+
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+        aberr.Update(new TValue(DateTime.UtcNow, 105));
+        double middleBefore = aberr.Last.Value;
+
+        aberr.Reset();
+
+        Assert.Equal(0, aberr.Last.Value);
+        Assert.Equal(0, aberr.Upper.Value);
+        Assert.Equal(0, aberr.Lower.Value);
+        Assert.False(aberr.IsHot);
+
+        // After reset, should accept new values
+        aberr.Update(new TValue(DateTime.UtcNow, 50));
+        Assert.NotEqual(0, aberr.Last.Value);
+        Assert.NotEqual(middleBefore, aberr.Last.Value);
+    }
+
+    [Fact]
+    public void Aberr_Properties_Accessible()
+    {
+        var aberr = new Aberr(10, 2.5);
+
+        Assert.Equal(0, aberr.Last.Value);
+        Assert.False(aberr.IsHot);
+        Assert.Contains("Aberr", aberr.Name, StringComparison.Ordinal);
+        Assert.Equal(10, aberr.WarmupPeriod);
+
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+
+        Assert.NotEqual(0, aberr.Last.Value);
+    }
+
+    [Fact]
+    public void Aberr_IsHot_BecomesTrueWhenBufferFull()
+    {
+        var aberr = new Aberr(5);
+
+        Assert.False(aberr.IsHot);
+
+        for (int i = 1; i <= 4; i++)
+        {
+            aberr.Update(new TValue(DateTime.UtcNow, 100 + i));
+            Assert.False(aberr.IsHot);
+        }
+
+        aberr.Update(new TValue(DateTime.UtcNow, 105));
+        Assert.True(aberr.IsHot);
+    }
+
+    [Fact]
+    public void Aberr_CalculatesCorrectBands()
+    {
+        var aberr = new Aberr(3, 2.0);
+
+        // Bar 1: source = 100
+        // SMA = 100, Deviation = |100-100| = 0, AvgDev = 0
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+        Assert.Equal(100.0, aberr.Last.Value, 1e-10);
+
+        // Bar 2: source = 110
+        // SMA(2) = (100+110)/2 = 105
+        // Dev1 = 0, Dev2 = |110 - 105| = 5 (same-bar SMA)
+        // AvgDev = (0+5)/2 = 2.5
+        // Upper = 105 + 2*2.5 = 110, Lower = 105 - 2*2.5 = 100
+        aberr.Update(new TValue(DateTime.UtcNow, 110));
+        Assert.Equal(105.0, aberr.Last.Value, 1e-10);
+
+        // Bar 3: source = 120
+        // SMA(3) = (100+110+120)/3 = 110
+        // Dev3 = |120 - 110| = 10 (same-bar SMA)
+        // AvgDev = (0+5+10)/3 = 5.0
+        // Upper = 110 + 2*5 = 120, Lower = 110 - 2*5 = 100
+        aberr.Update(new TValue(DateTime.UtcNow, 120));
+        Assert.Equal(110.0, aberr.Last.Value, 1e-10);
+        Assert.Equal(120.0, aberr.Upper.Value, 1e-10);
+        Assert.Equal(100.0, aberr.Lower.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Aberr_SlidingWindow_Works()
+    {
+        var aberr = new Aberr(3, 2.0);
+
+        // Feed initial values
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+        aberr.Update(new TValue(DateTime.UtcNow, 110));
+        aberr.Update(new TValue(DateTime.UtcNow, 120));
+
+        double middle1 = aberr.Last.Value;
+
+        // Add another value - window slides
+        aberr.Update(new TValue(DateTime.UtcNow, 130));
+
+        // SMA(3) should now be (110+120+130)/3 = 120
+        Assert.NotEqual(middle1, aberr.Last.Value);
+        Assert.Equal(120.0, aberr.Last.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Aberr_IterativeCorrections_RestoreToOriginalState()
+    {
+        var aberr = new Aberr(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);
+            aberr.Update(tenthInput, isNew: true);
+        }
+
+        // Remember state after 10 values
+        double middleAfterTen = aberr.Last.Value;
+        double upperAfterTen = aberr.Upper.Value;
+        double lowerAfterTen = aberr.Lower.Value;
+
+        // Generate 9 corrections with isNew=false (different values)
+        for (int i = 0; i < 9; i++)
+        {
+            var bar = gbm.Next(isNew: false);
+            aberr.Update(new TValue(bar.Time, bar.Close), isNew: false);
+        }
+
+        // Feed the remembered 10th input again with isNew=false
+        aberr.Update(tenthInput, isNew: false);
+
+        // State should match the original state after 10 values
+        Assert.Equal(middleAfterTen, aberr.Last.Value, 1e-10);
+        Assert.Equal(upperAfterTen, aberr.Upper.Value, 1e-10);
+        Assert.Equal(lowerAfterTen, aberr.Lower.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Aberr_BatchCalc_MatchesIterativeCalc()
+    {
+        var aberrIterative = new Aberr(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 iterativeMiddle = new List<double>();
+        var iterativeUpper = new List<double>();
+        var iterativeLower = new List<double>();
+        foreach (var item in series)
+        {
+            aberrIterative.Update(item);
+            iterativeMiddle.Add(aberrIterative.Last.Value);
+            iterativeUpper.Add(aberrIterative.Upper.Value);
+            iterativeLower.Add(aberrIterative.Lower.Value);
+        }
+
+        // Calculate batch
+        var aberrBatch = new Aberr(10);
+        var (batchMiddle, batchUpper, batchLower) = aberrBatch.Update(series);
+
+        // Compare
+        Assert.Equal(iterativeMiddle.Count, batchMiddle.Count);
+        for (int i = 0; i < iterativeMiddle.Count; i++)
+        {
+            Assert.Equal(iterativeMiddle[i], batchMiddle[i].Value, 1e-10);
+            Assert.Equal(iterativeUpper[i], batchUpper[i].Value, 1e-10);
+            Assert.Equal(iterativeLower[i], batchLower[i].Value, 1e-10);
+        }
+    }
+
+    [Fact]
+    public void Aberr_NaN_Input_UsesLastValidValue()
+    {
+        var aberr = new Aberr(5);
+
+        // Feed some valid values
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+        aberr.Update(new TValue(DateTime.UtcNow, 105));
+
+        // Feed NaN - should use last valid value
+        var resultAfterNaN = aberr.Update(new TValue(DateTime.UtcNow, double.NaN));
+
+        // Result should be finite (not NaN)
+        Assert.True(double.IsFinite(resultAfterNaN.Value));
+        Assert.True(double.IsFinite(aberr.Upper.Value));
+        Assert.True(double.IsFinite(aberr.Lower.Value));
+    }
+
+    [Fact]
+    public void Aberr_Infinity_Input_UsesLastValidValue()
+    {
+        var aberr = new Aberr(5);
+
+        // Feed some valid values
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+        aberr.Update(new TValue(DateTime.UtcNow, 105));
+
+        // Feed positive infinity
+        var resultAfterPosInf = aberr.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
+        Assert.True(double.IsFinite(resultAfterPosInf.Value));
+        Assert.True(double.IsFinite(aberr.Upper.Value));
+        Assert.True(double.IsFinite(aberr.Lower.Value));
+
+        // Feed negative infinity
+        var resultAfterNegInf = aberr.Update(new TValue(DateTime.UtcNow, double.NegativeInfinity));
+        Assert.True(double.IsFinite(resultAfterNegInf.Value));
+        Assert.True(double.IsFinite(aberr.Upper.Value));
+        Assert.True(double.IsFinite(aberr.Lower.Value));
+    }
+
+    [Fact]
+    public void Aberr_MultipleNaN_ContinuesWithLastValid()
+    {
+        var aberr = new Aberr(5);
+
+        // Feed valid values
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+        aberr.Update(new TValue(DateTime.UtcNow, 105));
+        aberr.Update(new TValue(DateTime.UtcNow, 110));
+
+        // Feed multiple NaN values
+        var r1 = aberr.Update(new TValue(DateTime.UtcNow, double.NaN));
+        var r2 = aberr.Update(new TValue(DateTime.UtcNow, double.NaN));
+        var r3 = aberr.Update(new TValue(DateTime.UtcNow, double.NaN));
+
+        // All results should be finite
+        Assert.True(double.IsFinite(r1.Value));
+        Assert.True(double.IsFinite(r2.Value));
+        Assert.True(double.IsFinite(r3.Value));
+    }
+
+    [Fact]
+    public void Aberr_StaticBatch_Works()
+    {
+        var series = new TSeries();
+        series.Add(DateTime.UtcNow, 100);
+        series.Add(DateTime.UtcNow, 110);
+        series.Add(DateTime.UtcNow, 120);
+        series.Add(DateTime.UtcNow, 130);
+        series.Add(DateTime.UtcNow, 140);
+
+        var (middle, upper, lower) = Aberr.Batch(series, 3);
+
+        Assert.Equal(5, middle.Count);
+        Assert.Equal(5, upper.Count);
+        Assert.Equal(5, lower.Count);
+
+        // All values should be finite
+        for (int i = 0; i < 5; i++)
+        {
+            Assert.True(double.IsFinite(middle[i].Value));
+            Assert.True(double.IsFinite(upper[i].Value));
+            Assert.True(double.IsFinite(lower[i].Value));
+        }
+    }
+
+    [Fact]
+    public void Aberr_Period1_ReturnsDirectCalculation()
+    {
+        var aberr = new Aberr(1);
+
+        // Single value: SMA(1) = 100, Deviation = 0
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+        Assert.Equal(100.0, aberr.Last.Value, 1e-10);
+        Assert.Equal(100.0, aberr.Upper.Value, 1e-10);
+        Assert.Equal(100.0, aberr.Lower.Value, 1e-10);
+
+        // Next value: SMA(1) = 110, Deviation from previous SMA = |110 - 100| = 10
+        // But with period 1, the old value drops out, so AvgDev = |110 - 110| = 0?
+        // Actually deviation is calculated BEFORE adding to buffer
+        // When 110 comes in, SMA is still 100, so Dev = |110 - 100| = 10
+        // Then buffer updates to just [110], so SMA = 110, AvgDev = 10
+        aberr.Update(new TValue(DateTime.UtcNow, 110));
+        Assert.Equal(110.0, aberr.Last.Value, 1e-10);
+    }
+
+    // ============== Span API Tests ==============
+
+    [Fact]
+    public void Aberr_SpanBatch_ValidatesInput()
+    {
+        double[] source = [100, 110, 120];
+        double[] middle = new double[3];
+        double[] upper = new double[3];
+        double[] lower = new double[3];
+
+        // Period must be > 0
+        Assert.Throws<ArgumentOutOfRangeException>(() =>
+            Aberr.Batch(source.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 0));
+        Assert.Throws<ArgumentOutOfRangeException>(() =>
+            Aberr.Batch(source.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), -1));
+
+        // Multiplier must be > 0
+        Assert.Throws<ArgumentOutOfRangeException>(() =>
+            Aberr.Batch(source.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 3, 0));
+        Assert.Throws<ArgumentOutOfRangeException>(() =>
+            Aberr.Batch(source.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 3, -1));
+
+        // Output buffers must be same length as input
+        double[] shortOutput = new double[2];
+        Assert.Throws<ArgumentException>(() =>
+            Aberr.Batch(source.AsSpan(), shortOutput.AsSpan(), upper.AsSpan(), lower.AsSpan(), 3));
+    }
+
+    [Fact]
+    public void Aberr_SpanBatch_MatchesTSeriesBatch()
+    {
+        var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 42);
+        var series = new TSeries();
+
+        double[] source = new double[100];
+
+        for (int i = 0; i < 100; i++)
+        {
+            var bar = gbm.Next(isNew: true);
+            series.Add(bar.Time, bar.Close);
+            source[i] = bar.Close;
+        }
+
+        // Calculate with TSeries API
+        var (tseriesMiddle, tseriesUpper, tseriesLower) = Aberr.Batch(series, 10);
+
+        // Calculate with Span API
+        double[] spanMiddle = new double[100];
+        double[] spanUpper = new double[100];
+        double[] spanLower = new double[100];
+        Aberr.Batch(source.AsSpan(), spanMiddle.AsSpan(), spanUpper.AsSpan(), spanLower.AsSpan(), 10);
+
+        // Compare results
+        for (int i = 0; i < 100; i++)
+        {
+            Assert.Equal(tseriesMiddle[i].Value, spanMiddle[i], 1e-10);
+            Assert.Equal(tseriesUpper[i].Value, spanUpper[i], 1e-10);
+            Assert.Equal(tseriesLower[i].Value, spanLower[i], 1e-10);
+        }
+    }
+
+    [Fact]
+    public void Aberr_SpanBatch_ZeroAllocation()
+    {
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 42);
+        double[] source = new double[10000];
+        double[] middle = new double[10000];
+        double[] upper = new double[10000];
+        double[] lower = new double[10000];
+
+        for (int i = 0; i < source.Length; i++)
+        {
+            source[i] = gbm.Next().Close;
+        }
+
+        // Warm up
+        Aberr.Batch(source.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 100);
+
+        // Verify method completes without OOM or stack overflow
+        Assert.True(double.IsFinite(middle[^1]));
+        Assert.True(double.IsFinite(upper[^1]));
+        Assert.True(double.IsFinite(lower[^1]));
+    }
+
+    [Fact]
+    public void Aberr_SpanBatch_HandlesNaN()
+    {
+        double[] source = [100, 110, double.NaN, 130, 140];
+        double[] middle = new double[5];
+        double[] upper = new double[5];
+        double[] lower = new double[5];
+
+        Aberr.Batch(source.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 3);
+
+        // All outputs should be finite
+        for (int i = 0; i < 5; i++)
+        {
+            Assert.True(double.IsFinite(middle[i]), $"Middle[{i}] expected finite but got {middle[i]}");
+            Assert.True(double.IsFinite(upper[i]), $"Upper[{i}] expected finite but got {upper[i]}");
+            Assert.True(double.IsFinite(lower[i]), $"Lower[{i}] expected finite but got {lower[i]}");
+        }
+    }
+
+    [Fact]
+    public void Aberr_AllModes_ProduceSameResult()
+    {
+        // Arrange
+        const int period = 10;
+        double multiplier = 2.0;
+        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 (batchMiddle, batchUpper, batchLower) = Aberr.Batch(series, period, multiplier);
+        double expectedMiddle = batchMiddle.Last.Value;
+        double expectedUpper = batchUpper.Last.Value;
+        double expectedLower = batchLower.Last.Value;
+
+        // 2. Span Mode
+        double[] source = series.Values.ToArray();
+        double[] spanMiddle = new double[series.Count];
+        double[] spanUpper = new double[series.Count];
+        double[] spanLower = new double[series.Count];
+        Aberr.Batch(source.AsSpan(), spanMiddle.AsSpan(), spanUpper.AsSpan(), spanLower.AsSpan(), period, multiplier);
+
+        // 3. Streaming Mode
+        var streamingInd = new Aberr(period, multiplier);
+        foreach (var item in series)
+        {
+            streamingInd.Update(item);
+        }
+        double streamingMiddle = streamingInd.Last.Value;
+        double streamingUpper = streamingInd.Upper.Value;
+        double streamingLower = streamingInd.Lower.Value;
+
+        // 4. Eventing Mode
+        var pubSource = new TSeries();
+        var eventingInd = new Aberr(pubSource, period, multiplier);
+        foreach (var item in series)
+        {
+            pubSource.Add(item);
+        }
+        double eventingMiddle = eventingInd.Last.Value;
+        double eventingUpper = eventingInd.Upper.Value;
+        double eventingLower = eventingInd.Lower.Value;
+
+        // Assert
+        Assert.Equal(expectedMiddle, spanMiddle[^1], precision: 9);
+        Assert.Equal(expectedUpper, spanUpper[^1], precision: 9);
+        Assert.Equal(expectedLower, spanLower[^1], precision: 9);
+
+        Assert.Equal(expectedMiddle, streamingMiddle, precision: 9);
+        Assert.Equal(expectedUpper, streamingUpper, precision: 9);
+        Assert.Equal(expectedLower, streamingLower, precision: 9);
+
+        Assert.Equal(expectedMiddle, eventingMiddle, precision: 9);
+        Assert.Equal(expectedUpper, eventingUpper, precision: 9);
+        Assert.Equal(expectedLower, eventingLower, precision: 9);
+    }
+
+    [Fact]
+    public void Aberr_Chainability_Works()
+    {
+        var source = new TSeries();
+        var aberr = new Aberr(source, 10);
+
+        source.Add(new TValue(DateTime.UtcNow, 100));
+        Assert.Equal(100, aberr.Last.Value);
+    }
+
+    [Fact]
+    public void Aberr_WarmupPeriod_IsSetCorrectly()
+    {
+        var aberr = new Aberr(10);
+        Assert.Equal(10, aberr.WarmupPeriod);
+    }
+
+    [Fact]
+    public void Aberr_Prime_SetsStateCorrectly()
+    {
+        var aberr = new Aberr(3, 2.0);
+        var series = new TSeries();
+
+        // Add 5 values
+        series.Add(DateTime.UtcNow, 100);
+        series.Add(DateTime.UtcNow, 110);
+        series.Add(DateTime.UtcNow, 120);
+        series.Add(DateTime.UtcNow, 130);
+        series.Add(DateTime.UtcNow, 140);
+
+        aberr.Prime(series);
+
+        Assert.True(aberr.IsHot);
+
+        // Last 3 values: 120, 130, 140 -> SMA = 130
+        Assert.Equal(130.0, aberr.Last.Value, 1e-10);
+
+        // Verify it continues correctly
+        aberr.Update(new TValue(DateTime.UtcNow, 150));
+        // New window: 130, 140, 150 -> SMA = 140
+        Assert.Equal(140.0, aberr.Last.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Aberr_Calculate_ReturnsCorrectResultsAndHotIndicator()
+    {
+        var series = new TSeries();
+        series.Add(DateTime.UtcNow, 100);
+        series.Add(DateTime.UtcNow, 110);
+        series.Add(DateTime.UtcNow, 120);
+        series.Add(DateTime.UtcNow, 130);
+        series.Add(DateTime.UtcNow, 140);
+
+        var ((middle, upper, lower), indicator) = Aberr.Calculate(series, 3, 2.0);
+
+        // Check results
+        Assert.Equal(5, middle.Count);
+        Assert.Equal(5, upper.Count);
+        Assert.Equal(5, lower.Count);
+
+        // Check indicator state
+        Assert.True(indicator.IsHot);
+        Assert.Equal(130.0, indicator.Last.Value, 1e-10);
+        Assert.Equal(3, indicator.WarmupPeriod);
+
+        // Verify indicator continues correctly
+        indicator.Update(new TValue(DateTime.UtcNow, 150));
+        Assert.Equal(140.0, indicator.Last.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Aberr_DifferentMultipliers_Work()
+    {
+        var series = new TSeries();
+        for (int i = 0; i < 10; i++)
+        {
+            series.Add(DateTime.UtcNow, 100 + i * 10); // 100, 110, 120, ...
+        }
+
+        // Multiplier 1.0
+        var (middle1, upper1, _) = Aberr.Batch(series, 5, 1.0);
+
+        // Multiplier 3.0
+        var (middle3, upper3, _) = Aberr.Batch(series, 5, 3.0);
+
+        // Middle should be the same for all multipliers
+        Assert.Equal(middle1.Last.Value, middle3.Last.Value, 1e-10);
+
+        // Band width should scale with multiplier
+        double bandWidth1 = upper1.Last.Value - middle1.Last.Value;
+        double bandWidth3 = upper3.Last.Value - middle3.Last.Value;
+        Assert.Equal(bandWidth1 * 3.0, bandWidth3, 1e-10);
+    }
+
+    [Fact]
+    public void Aberr_FlatLine_ReturnsSameValues()
+    {
+        var aberr = new Aberr(10);
+
+        for (int i = 0; i < 20; i++)
+        {
+            aberr.Update(new TValue(DateTime.UtcNow, 100));
+        }
+
+        // When all values are the same, SMA = 100, all deviations = 0
+        Assert.Equal(100.0, aberr.Last.Value, 1e-10);
+        Assert.Equal(100.0, aberr.Upper.Value, 1e-10);
+        Assert.Equal(100.0, aberr.Lower.Value, 1e-10);
+    }
+
+    [Fact]
+    public void Aberr_Pub_EventFires()
+    {
+        var aberr = new Aberr(10);
+        bool eventFired = false;
+        aberr.Pub += (object? _, in TValueEventArgs _) => eventFired = true;
+
+        aberr.Update(new TValue(DateTime.UtcNow, 100));
+        Assert.True(eventFired);
+    }
+
+    [Fact]
+    public void Aberr_BandsAreSymmetric()
+    {
+        var aberr = new Aberr(10, 2.0);
+        var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 42);
+
+        for (int i = 0; i < 50; i++)
+        {
+            var bar = gbm.Next(isNew: true);
+            aberr.Update(new TValue(bar.Time, bar.Close));
+        }
+
+        // Upper - Middle should equal Middle - Lower
+        double upperDiff = aberr.Upper.Value - aberr.Last.Value;
+        double lowerDiff = aberr.Last.Value - aberr.Lower.Value;
+
+        Assert.Equal(upperDiff, lowerDiff, 1e-10);
+    }
+}

lib/channels/aberr/tests/Aberr.Validation.Tests.cs

@@ -0,0 +1,424 @@
+using Xunit.Abstractions;
+
+namespace QuanTAlib.Tests;
+
+/// <summary>
+/// Validation tests for Aberr indicator.
+/// Note: Skender.Stock.Indicators, TA-Lib, Tulip, and OoplesFinance do not provide
+/// Aberr (Aberration Bands) implementation for cross-validation. These tests validate
+/// against manual calculations and internal consistency across all API modes.
+/// </summary>
+public sealed class AberrValidationTests(ITestOutputHelper output) : IDisposable
+{
+    private readonly ValidationTestData _testData = new();
+    private bool _disposed;
+
+    public void Dispose()
+    {
+        Dispose(true);
+    }
+
+    private void Dispose(bool disposing)
+    {
+        if (_disposed)
+        {
+            return;
+        }
+
+        _disposed = true;
+
+        if (disposing)
+        {
+            _testData?.Dispose();
+        }
+    }
+
+    [Fact]
+    public void Validate_ManualCalculation_Period3()
+    {
+        // Manual calculation verification (same-bar SMA deviation)
+        // Values: [100, 110, 120]
+        // Bar 1: SMA=100, Dev=|100-100|=0, AvgDev=0
+        // Bar 2: SMA=(100+110)/2=105, Dev2=|110-105|=5, AvgDev=(0+5)/2=2.5
+        // Bar 3: SMA=(100+110+120)/3=110, Dev3=|120-110|=10, AvgDev=(0+5+10)/3=5.0
+
+        var series = new TSeries();
+        var time = DateTime.UtcNow;
+        series.Add(new TValue(time, 100));
+        series.Add(new TValue(time.AddMinutes(1), 110));
+        series.Add(new TValue(time.AddMinutes(2), 120));
+
+        var aberr = new Aberr(3, 2.0);
+        var (middle, upper, lower) = aberr.Update(series);
+
+        // SMA(3) = 110
+        Assert.Equal(110.0, middle.Last.Value, 1e-10);
+
+        // AvgDev = (0 + 5 + 10) / 3 = 5.0
+        const double expectedAvgDev = 5.0;
+        double expectedBandWidth = 2.0 * expectedAvgDev;
+
+        Assert.Equal(110.0 + expectedBandWidth, upper.Last.Value, 1e-10);
+        Assert.Equal(110.0 - expectedBandWidth, lower.Last.Value, 1e-10);
+
+        output.WriteLine("Aberr manual calculation (period 3) validated successfully");
+    }
+
+    [Fact]
+    public void Validate_ManualCalculation_Period5()
+    {
+        // Manual calculation verification with period 5
+        // Use simple arithmetic sequence: 100, 110, 120, 130, 140
+        var series = new TSeries();
+        var time = DateTime.UtcNow;
+
+        double[] values = [100, 110, 120, 130, 140];
+        for (int i = 0; i < values.Length; i++)
+        {
+            series.Add(new TValue(time.AddMinutes(i), values[i]));
+        }
+
+        var aberr = new Aberr(5, 2.0);
+        var (middle, _, _) = aberr.Update(series);
+
+        // SMA(5) = (100 + 110 + 120 + 130 + 140) / 5 = 120
+        Assert.Equal(120.0, middle.Last.Value, 1e-10);
+
+        output.WriteLine("Aberr manual calculation (period 5) validated successfully");
+    }
+
+    [Fact]
+    public void Validate_Multiplier_Effect()
+    {
+        // Verify multiplier affects band width correctly
+        var series = new TSeries();
+        var time = DateTime.UtcNow;
+
+        for (int i = 0; i < 20; i++)
+        {
+            // Oscillating values to create deviation
+            double value = 100 + (i % 2 == 0 ? 10 : -10);
+            series.Add(new TValue(time.AddMinutes(i), value));
+        }
+
+        var (middle1, upper1, _) = Aberr.Batch(series, 10, 1.0);
+        var (middle2, upper2, _) = Aberr.Batch(series, 10, 2.0);
+        var (middle3, upper3, _) = Aberr.Batch(series, 10, 3.0);
+
+        // Middle should be the same regardless of multiplier
+        Assert.Equal(middle1.Last.Value, middle2.Last.Value, 1e-10);
+        Assert.Equal(middle2.Last.Value, middle3.Last.Value, 1e-10);
+
+        // Band widths should scale linearly with multiplier
+        double bw1 = upper1.Last.Value - middle1.Last.Value;
+        double bw2 = upper2.Last.Value - middle2.Last.Value;
+        double bw3 = upper3.Last.Value - middle3.Last.Value;
+
+        Assert.Equal(bw1 * 2.0, bw2, 1e-10);
+        Assert.Equal(bw1 * 3.0, bw3, 1e-10);
+
+        output.WriteLine("Aberr multiplier effect validated successfully");
+    }
+
+    [Fact]
+    public void Validate_AllModes_Consistency_Batch()
+    {
+        int[] periods = [5, 10, 20, 50, 100];
+
+        foreach (var period in periods)
+        {
+            // Batch mode using instance
+            var aberr = new Aberr(period, 2.0);
+            var (qMiddle, qUpper, qLower) = aberr.Update(_testData.Data);
+
+            // Static batch
+            var (sMiddle, sUpper, sLower) = Aberr.Batch(_testData.Data, period, 2.0);
+
+            // Verify match
+            ValidationHelper.VerifySeriesEqual(qMiddle, sMiddle);
+            ValidationHelper.VerifySeriesEqual(qUpper, sUpper);
+            ValidationHelper.VerifySeriesEqual(qLower, sLower);
+        }
+        output.WriteLine("Aberr Batch modes consistency validated successfully");
+    }
+
+    [Fact]
+    public void Validate_AllModes_Consistency_Streaming()
+    {
+        int[] periods = [5, 10, 20, 50, 100];
+
+        foreach (var period in periods)
+        {
+            // Streaming mode
+            var streamingAberr = new Aberr(period, 2.0);
+            var streamMiddle = new TSeries();
+            var streamUpper = new TSeries();
+            var streamLower = new TSeries();
+            foreach (var item in _testData.Data)
+            {
+                streamingAberr.Update(item);
+                streamMiddle.Add(streamingAberr.Last);
+                streamUpper.Add(streamingAberr.Upper);
+                streamLower.Add(streamingAberr.Lower);
+            }
+
+            // Batch mode for comparison
+            var (batchMiddle, batchUpper, batchLower) = Aberr.Batch(_testData.Data, period, 2.0);
+
+            // Verify match
+            ValidationHelper.VerifySeriesEqual(batchMiddle, streamMiddle);
+            ValidationHelper.VerifySeriesEqual(batchUpper, streamUpper);
+            ValidationHelper.VerifySeriesEqual(batchLower, streamLower);
+        }
+        output.WriteLine("Aberr Streaming mode consistency validated successfully");
+    }
+
+    [Fact]
+    public void Validate_AllModes_Consistency_Span()
+    {
+        int[] periods = [5, 10, 20, 50, 100];
+
+        double[] source = _testData.RawData.ToArray();
+
+        foreach (var period in periods)
+        {
+            // Span mode
+            int len = source.Length;
+            double[] spanMiddle = new double[len];
+            double[] spanUpper = new double[len];
+            double[] spanLower = new double[len];
+
+            Aberr.Batch(source.AsSpan(), spanMiddle.AsSpan(), spanUpper.AsSpan(), spanLower.AsSpan(),
+                       period, 2.0);
+
+            // Batch mode for comparison
+            var (batchMiddle, batchUpper, batchLower) = Aberr.Batch(_testData.Data, period, 2.0);
+
+            // Verify match
+            for (int i = 0; i < len; i++)
+            {
+                Assert.Equal(batchMiddle[i].Value, spanMiddle[i], 9);
+                Assert.Equal(batchUpper[i].Value, spanUpper[i], 9);
+                Assert.Equal(batchLower[i].Value, spanLower[i], 9);
+            }
+        }
+        output.WriteLine("Aberr Span mode consistency validated successfully");
+    }
+
+    [Fact]
+    public void Validate_AllModes_Consistency_Eventing()
+    {
+        int[] periods = [5, 10, 20, 50];
+
+        foreach (var period in periods)
+        {
+            // Eventing mode
+            var pubSource = new TSeries();
+            var eventingInd = new Aberr(pubSource, period, 2.0);
+            var eventMiddle = new TSeries();
+            var eventUpper = new TSeries();
+            var eventLower = new TSeries();
+
+            foreach (var item in _testData.Data)
+            {
+                pubSource.Add(item);
+                eventMiddle.Add(eventingInd.Last);
+                eventUpper.Add(eventingInd.Upper);
+                eventLower.Add(eventingInd.Lower);
+            }
+
+            // Batch mode for comparison
+            var (batchMiddle, batchUpper, batchLower) = Aberr.Batch(_testData.Data, period, 2.0);
+
+            // Verify match
+            ValidationHelper.VerifySeriesEqual(batchMiddle, eventMiddle);
+            ValidationHelper.VerifySeriesEqual(batchUpper, eventUpper);
+            ValidationHelper.VerifySeriesEqual(batchLower, eventLower);
+        }
+        output.WriteLine("Aberr Eventing mode consistency validated successfully");
+    }
+
+    [Fact]
+    public void Validate_Calculate_ReturnsHotIndicator()
+    {
+        int[] periods = [5, 10, 20, 50, 100];
+
+        foreach (var period in periods)
+        {
+            var ((_, _, _), indicator) = Aberr.Calculate(_testData.Data, period, 2.0);
+
+            // Verify indicator is hot
+            Assert.True(indicator.IsHot);
+            Assert.Equal(period, indicator.WarmupPeriod);
+
+            // Note: Indicator state after Prime may not exactly match batch output because
+            // deviation calculations depend on SMA history. Prime only restores the last
+            // WarmupPeriod bars, so deviations are calculated differently.
+            // We verify the indicator is in a valid state for continued streaming.
+            Assert.True(double.IsFinite(indicator.Last.Value));
+            Assert.True(double.IsFinite(indicator.Upper.Value));
+            Assert.True(double.IsFinite(indicator.Lower.Value));
+
+            // Verify can continue streaming
+            var nextValue = new TValue(DateTime.UtcNow.AddDays(1), 100);
+            indicator.Update(nextValue);
+            Assert.True(indicator.IsHot);
+        }
+        output.WriteLine("Aberr Calculate method validated successfully");
+    }
+
+    [Fact]
+    public void Validate_LargeDataset_NoOverflow()
+    {
+        // Test with the full 5000 bar dataset
+        var (middle, upper, lower) = Aberr.Batch(_testData.Data, 100, 2.0);
+
+        // All outputs should be finite
+        ValidationHelper.VerifyAllFinite(middle, startIndex: 0);
+        ValidationHelper.VerifyAllFinite(upper, startIndex: 0);
+        ValidationHelper.VerifyAllFinite(lower, startIndex: 0);
+
+        // Upper should always be >= Middle, Middle should always be >= Lower
+        for (int i = 100; i < middle.Count; i++)
+        {
+            Assert.True(upper[i].Value >= middle[i].Value,
+                $"Upper ({upper[i].Value}) should be >= Middle ({middle[i].Value}) at index {i}");
+            Assert.True(middle[i].Value >= lower[i].Value,
+                $"Middle ({middle[i].Value}) should be >= Lower ({lower[i].Value}) at index {i}");
+        }
+
+        output.WriteLine("Aberr large dataset (5000 bars) validated successfully");
+    }
+
+    [Fact]
+    public void Validate_BandWidth_IsSymmetric()
+    {
+        // Verify that Upper - Middle == Middle - Lower
+        // This confirms the band width is applied symmetrically
+
+        var (middle, upper, lower) = Aberr.Batch(_testData.Data, 20, 2.0);
+
+        // After warmup, verify symmetry
+        for (int i = 20; i < _testData.Data.Count; i++)
+        {
+            double upperDiff = upper[i].Value - middle[i].Value;
+            double lowerDiff = middle[i].Value - lower[i].Value;
+
+            Assert.Equal(upperDiff, lowerDiff, 1e-9);
+        }
+
+        output.WriteLine("Aberr band width symmetry validated successfully");
+    }
+
+    [Fact]
+    public void Validate_Prime_ProducesCorrectState()
+    {
+        // Prime with history and verify state matches full calculation
+        int period = 20;
+
+        // Full batch calculation
+        var (batchMiddle, batchUpper, batchLower) = Aberr.Batch(_testData.Data, period, 2.0);
+
+        // Prime indicator with subset and continue
+        var primedIndicator = new Aberr(period, 2.0);
+        var subset = new TSeries();
+        for (int i = 0; i < 100; i++)
+        {
+            subset.Add(_testData.Data[i]);
+        }
+        primedIndicator.Prime(subset);
+
+        // Continue streaming from where Prime left off
+        for (int i = 100; i < _testData.Data.Count; i++)
+        {
+            primedIndicator.Update(_testData.Data[i]);
+        }
+
+        // Final values should match
+        Assert.Equal(batchMiddle.Last.Value, primedIndicator.Last.Value, 1e-9);
+        Assert.Equal(batchUpper.Last.Value, primedIndicator.Upper.Value, 1e-9);
+        Assert.Equal(batchLower.Last.Value, primedIndicator.Lower.Value, 1e-9);
+
+        output.WriteLine("Aberr Prime method validated successfully");
+    }
+
+    [Fact]
+    public void Validate_MiddleBand_MatchesSMA()
+    {
+        // Verify the middle band is exactly the SMA
+        int period = 20;
+
+        var aberr = new Aberr(period, 2.0);
+        var sma = new Sma(period);
+
+        var aberrResults = aberr.Update(_testData.Data);
+        var smaResults = sma.Update(_testData.Data);
+
+        // Middle band should match SMA exactly
+        for (int i = 0; i < _testData.Data.Count; i++)
+        {
+            Assert.Equal(smaResults[i].Value, aberrResults.Middle[i].Value, 1e-10);
+        }
+
+        output.WriteLine("Aberr middle band matches SMA validated successfully");
+    }
+
+    [Fact]
+    public void Validate_DeviationCalculation()
+    {
+        // Verify the deviation is calculated as |source - SMA|
+        int period = 5;
+
+        // Use predictable values
+        var series = new TSeries();
+        var time = DateTime.UtcNow;
+        double[] values = [100, 120, 80, 110, 90];
+        for (int i = 0; i < values.Length; i++)
+        {
+            series.Add(new TValue(time.AddMinutes(i), values[i]));
+        }
+
+        var aberr = new Aberr(period, 1.0); // multiplier = 1 for easier verification
+        var (middle, upper, _) = aberr.Update(series);
+
+        // SMA(5) = (100 + 120 + 80 + 110 + 90) / 5 = 100
+        Assert.Equal(100.0, middle.Last.Value, 1e-10);
+
+        // Band width = AvgDeviation (since multiplier = 1)
+        // The deviations are calculated incrementally, so we verify the final result
+        double bandWidth = upper.Last.Value - middle.Last.Value;
+        Assert.True(bandWidth >= 0, "Band width should be non-negative");
+        Assert.True(double.IsFinite(bandWidth), "Band width should be finite");
+
+        output.WriteLine("Aberr deviation calculation validated successfully");
+    }
+
+    [Fact]
+    public void Validate_Consistency_AcrossPeriods()
+    {
+        // Verify behavior is consistent across different periods
+        int[] periods = [3, 5, 10, 20, 50, 100, 200];
+
+        foreach (var period in periods)
+        {
+            var (middle, upper, lower) = Aberr.Batch(_testData.Data, period, 2.0);
+
+            // All values should be finite
+            for (int i = 0; i < middle.Count; i++)
+            {
+                Assert.True(double.IsFinite(middle[i].Value), $"Middle[{i}] not finite for period {period}");
+                Assert.True(double.IsFinite(upper[i].Value), $"Upper[{i}] not finite for period {period}");
+                Assert.True(double.IsFinite(lower[i].Value), $"Lower[{i}] not finite for period {period}");
+            }
+
+            // Upper >= Middle >= Lower (bands are symmetric around middle)
+            for (int i = period; i < middle.Count; i++)
+            {
+                Assert.True(upper[i].Value >= middle[i].Value);
+                Assert.True(middle[i].Value >= lower[i].Value);
+            }
+        }
+
+        output.WriteLine($"Aberr consistency across {periods.Length} periods validated successfully");
+    }
+}