diff --git a/.github/workflows/Publish.yml b/.github/workflows/Publish.yml
index c86d49cb..454f2b85 100644
--- a/.github/workflows/Publish.yml
+++ b/.github/workflows/Publish.yml
@@ -65,20 +65,22 @@ jobs:
         run: |
           dotnet test --no-build --configuration Debug \
             --collect:"XPlat Code Coverage" \
+            --results-directory:./TestResults \
             -- DataCollectionRunSettings.DataCollectors.DataCollector.Configuration.Format=opencover
 
       - name: Collect Coverage Files
         run: |
           mkdir -p coverage
           count=1
-          while read -r file; do
-            dest="coverage/coverage_${count}.opencover.xml"
-            cp "$file" "$dest"
-            # Sanitize paths for Qodana (convert absolute to relative)
-            # This strips the current working directory from the paths in the XML
-            sed -i "s|$(pwd)/||g" "$dest"
+          find TestResults -name "coverage.opencover.xml" | while read file; do
+            cp "$file" "coverage/coverage_${count}.opencover.xml"
             count=$((count+1))
-          done < <(find . -name "coverage.opencover.xml" -type f)
+          done
+
+      - name: Debug Coverage Paths
+        run: |
+          echo "=== Coverage file paths ==="
+          grep -h "fullPath=" coverage/*.xml | head -20 || true
 
       - name: Upload Coverage Artifacts
         uses: actions/upload-artifact@v4
diff --git a/.vscode/settings.json b/.vscode/settings.json
index 37976004..cefe716d 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -168,8 +168,8 @@
     "connectionId": "mihakralj-quantalib",
     "projectKey": "mihakralj_QuanTAlib"
   },
-  "qodana.projectId": "KbxmN",
-  "coderabbit.agentType": "Cline"
+  "coderabbit.agentType": "Cline",
+  "qodana.projectId": "KbxmN"
   // Note: Native mode is configured in qodana.yaml with withinDocker: false
 
   // ???????????????????????????????????????????????????????????????????
diff --git a/lib/statistics/linreg/LinReg.Quantower.Tests.cs b/lib/statistics/linreg/LinReg.Quantower.Tests.cs
index d30bb084..0e5a1dd1 100644
--- a/lib/statistics/linreg/LinReg.Quantower.Tests.cs
+++ b/lib/statistics/linreg/LinReg.Quantower.Tests.cs
@@ -67,3 +67,192 @@ public class LinRegIndicatorTests
         Assert.True(double.IsFinite(linreg));
     }
 }
+
+public class LinRegSlopeIndicatorTests
+{
+    [Fact]
+    public void LinRegSlopeIndicator_Constructor_SetsDefaults()
+    {
+        var indicator = new LinRegSlopeIndicator();
+
+        Assert.Equal(14, indicator.Period);
+        Assert.True(indicator.ShowColdValues);
+        Assert.Equal("LinReg Slope", indicator.Name);
+        Assert.True(indicator.SeparateWindow);
+        Assert.True(indicator.OnBackGround);
+        Assert.Equal(SourceType.Close, indicator.Source);
+    }
+
+    [Fact]
+    public void LinRegSlopeIndicator_MinHistoryDepths_EqualsZero()
+    {
+        var indicator = new LinRegSlopeIndicator { Period = 20 };
+
+        Assert.Equal(0, LinRegSlopeIndicator.MinHistoryDepths);
+        IWatchlistIndicator watchlistIndicator = indicator;
+        Assert.Equal(0, watchlistIndicator.MinHistoryDepths);
+    }
+
+    [Fact]
+    public void LinRegSlopeIndicator_Initialize_CreatesInternalLinReg()
+    {
+        var indicator = new LinRegSlopeIndicator { Period = 10 };
+
+        // Initialize should not throw
+        indicator.Initialize();
+
+        // After init, line series should exist
+        Assert.Single(indicator.LinesSeries);
+        Assert.Equal("Slope", indicator.LinesSeries[0].Name);
+    }
+
+    [Fact]
+    public void LinRegSlopeIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
+    {
+        var indicator = new LinRegSlopeIndicator { Period = 5 };
+        indicator.Initialize();
+
+        // Add historical data
+        var now = DateTime.UtcNow;
+        // Need enough bars for Period
+        for (int i = 0; i < 20; i++)
+        {
+            indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i);
+
+            // Process update for each bar to simulate history loading
+            var args = new UpdateArgs(UpdateReason.HistoricalBar);
+            indicator.ProcessUpdate(args);
+        }
+
+        // Line series should have a value
+        double slope = indicator.LinesSeries[0].GetValue(0);
+
+        Assert.True(double.IsFinite(slope));
+    }
+}
+
+public class LinRegInterceptIndicatorTests
+{
+    [Fact]
+    public void LinRegInterceptIndicator_Constructor_SetsDefaults()
+    {
+        var indicator = new LinRegInterceptIndicator();
+
+        Assert.Equal(14, indicator.Period);
+        Assert.True(indicator.ShowColdValues);
+        Assert.Equal("LinReg Intercept", indicator.Name);
+        Assert.True(indicator.SeparateWindow);
+        Assert.True(indicator.OnBackGround);
+        Assert.Equal(SourceType.Close, indicator.Source);
+    }
+
+    [Fact]
+    public void LinRegInterceptIndicator_MinHistoryDepths_EqualsZero()
+    {
+        var indicator = new LinRegInterceptIndicator { Period = 20 };
+
+        Assert.Equal(0, LinRegInterceptIndicator.MinHistoryDepths);
+        IWatchlistIndicator watchlistIndicator = indicator;
+        Assert.Equal(0, watchlistIndicator.MinHistoryDepths);
+    }
+
+    [Fact]
+    public void LinRegInterceptIndicator_Initialize_CreatesInternalLinReg()
+    {
+        var indicator = new LinRegInterceptIndicator { Period = 10 };
+
+        // Initialize should not throw
+        indicator.Initialize();
+
+        // After init, line series should exist
+        Assert.Single(indicator.LinesSeries);
+        Assert.Equal("Intercept", indicator.LinesSeries[0].Name);
+    }
+
+    [Fact]
+    public void LinRegInterceptIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
+    {
+        var indicator = new LinRegInterceptIndicator { Period = 5 };
+        indicator.Initialize();
+
+        // Add historical data
+        var now = DateTime.UtcNow;
+        // Need enough bars for Period
+        for (int i = 0; i < 20; i++)
+        {
+            indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i);
+
+            // Process update for each bar to simulate history loading
+            var args = new UpdateArgs(UpdateReason.HistoricalBar);
+            indicator.ProcessUpdate(args);
+        }
+
+        // Line series should have a value
+        double intercept = indicator.LinesSeries[0].GetValue(0);
+
+        Assert.True(double.IsFinite(intercept));
+    }
+}
+
+public class LinRegRSquaredIndicatorTests
+{
+    [Fact]
+    public void LinRegRSquaredIndicator_Constructor_SetsDefaults()
+    {
+        var indicator = new LinRegRSquaredIndicator();
+
+        Assert.Equal(14, indicator.Period);
+        Assert.True(indicator.ShowColdValues);
+        Assert.Equal("LinReg R-Squared", indicator.Name);
+        Assert.True(indicator.SeparateWindow);
+        Assert.True(indicator.OnBackGround);
+        Assert.Equal(SourceType.Close, indicator.Source);
+    }
+
+    [Fact]
+    public void LinRegRSquaredIndicator_MinHistoryDepths_EqualsZero()
+    {
+        var indicator = new LinRegRSquaredIndicator { Period = 20 };
+
+        Assert.Equal(0, LinRegRSquaredIndicator.MinHistoryDepths);
+        IWatchlistIndicator watchlistIndicator = indicator;
+        Assert.Equal(0, watchlistIndicator.MinHistoryDepths);
+    }
+
+    [Fact]
+    public void LinRegRSquaredIndicator_Initialize_CreatesInternalLinReg()
+    {
+        var indicator = new LinRegRSquaredIndicator { Period = 10 };
+
+        // Initialize should not throw
+        indicator.Initialize();
+
+        // After init, line series should exist
+        Assert.Single(indicator.LinesSeries);
+        Assert.Equal("RSquared", indicator.LinesSeries[0].Name);
+    }
+
+    [Fact]
+    public void LinRegRSquaredIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
+    {
+        var indicator = new LinRegRSquaredIndicator { Period = 5 };
+        indicator.Initialize();
+
+        // Add historical data
+        var now = DateTime.UtcNow;
+        // Need enough bars for Period
+        for (int i = 0; i < 20; i++)
+        {
+            indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i);
+
+            // Process update for each bar to simulate history loading
+            var args = new UpdateArgs(UpdateReason.HistoricalBar);
+            indicator.ProcessUpdate(args);
+        }
+
+        // Line series should have a value
+        double r2 = indicator.LinesSeries[0].GetValue(0);
+
+        Assert.True(double.IsFinite(r2));
+    }
+}
diff --git a/lib/statistics/skew/Skew.Tests.cs b/lib/statistics/skew/Skew.Tests.cs
index 23d45913..235f9f36 100644
--- a/lib/statistics/skew/Skew.Tests.cs
+++ b/lib/statistics/skew/Skew.Tests.cs
@@ -129,4 +129,84 @@ public class SkewTests
             Assert.Equal(streamingResults[i], batchResult.Values[i], precision: 10);
         }
     }
+
+    [Fact]
+    public void Update_CalculatesCorrectly_Population()
+    {
+        // Test data: 1, 2, 3
+        // Mean = 2
+        // Variance (Pop) = ((1-2)^2 + (2-2)^2 + (3-2)^2) / 3 = 2/3
+        // StdDev (Pop) = sqrt(2/3)
+        // M3 (Pop) = ((1-2)^3 + (2-2)^3 + (3-2)^3) / 3 = 0
+        // Skew (Pop) = 0
+        
+        var skew = new Skew(3, isPopulation: true);
+        skew.Update(new TValue(DateTime.UtcNow, 1));
+        skew.Update(new TValue(DateTime.UtcNow, 2));
+        var result = skew.Update(new TValue(DateTime.UtcNow, 3));
+
+        Assert.Equal(0, result.Value, precision: 10);
+    }
+
+    [Fact]
+    public void Update_HandlesConstantValues_ZeroVariance()
+    {
+        var skew = new Skew(5);
+        for (int i = 0; i < 5; i++)
+        {
+            var result = skew.Update(new TValue(DateTime.UtcNow, 10));
+            Assert.Equal(0, result.Value); // Skew is undefined or 0 for constant values
+        }
+    }
+
+    [Fact]
+    public void Update_HandlesNaN()
+    {
+        var skew = new Skew(5);
+        skew.Update(new TValue(DateTime.UtcNow, 1));
+        skew.Update(new TValue(DateTime.UtcNow, 2));
+        skew.Update(new TValue(DateTime.UtcNow, double.NaN)); // Should be treated as 0 or handled gracefully
+        
+        var result = skew.Last.Value;
+        Assert.True(double.IsNaN(result) || result == 0);
+    }
+
+    [Fact]
+    public void Resync_DoesNotDrift()
+    {
+        // Run for > 1000 updates to trigger Resync
+        var skew = new Skew(10);
+        var random = new Random(123);
+        
+        for (int i = 0; i < 1100; i++)
+        {
+            skew.Update(new TValue(DateTime.UtcNow, random.NextDouble() * 100));
+        }
+        
+        Assert.True(double.IsFinite(skew.Last.Value));
+    }
+
+    [Fact]
+    public void Batch_LargeDataset_Simd()
+    {
+        // Create large dataset to trigger SIMD path (>= 256)
+        int count = 1000;
+        var data = new double[count];
+        for (int i = 0; i < count; i++) data[i] = (double)i;
+
+        var series = new TSeries(new System.Collections.Generic.List<long>(new long[count]), new System.Collections.Generic.List<double>(data));
+        
+        // Batch calculation
+        var batchResult = Skew.Calculate(series, 10);
+        
+        // Verify last value against streaming
+        var skew = new Skew(10);
+        double lastStreaming = 0;
+        foreach (var val in data)
+        {
+            lastStreaming = skew.Update(new TValue(DateTime.UtcNow, val)).Value;
+        }
+
+        Assert.Equal(lastStreaming, batchResult.Last.Value, precision: 10);
+    }
 }
diff --git a/lib/statistics/stddev/StdDev.Quantower.Tests.cs b/lib/statistics/stddev/StdDev.Quantower.Tests.cs
new file mode 100644
index 00000000..ae3aa237
--- /dev/null
+++ b/lib/statistics/stddev/StdDev.Quantower.Tests.cs
@@ -0,0 +1,69 @@
+using Xunit;
+using TradingPlatform.BusinessLayer;
+using QuanTAlib;
+
+namespace QuanTAlib.Tests;
+
+public class StdDevIndicatorTests
+{
+    [Fact]
+    public void StdDevIndicator_Constructor_SetsDefaults()
+    {
+        var indicator = new StdDevIndicator();
+
+        Assert.Equal(20, indicator.Period);
+        Assert.False(indicator.IsPopulation);
+        Assert.True(indicator.ShowColdValues);
+        Assert.Equal("StdDev - Standard Deviation", indicator.Name);
+        Assert.True(indicator.SeparateWindow);
+        Assert.True(indicator.OnBackGround);
+        Assert.Equal(SourceType.Close, indicator.Source);
+    }
+
+    [Fact]
+    public void StdDevIndicator_MinHistoryDepths_EqualsZero()
+    {
+        var indicator = new StdDevIndicator { Period = 20 };
+
+        Assert.Equal(0, StdDevIndicator.MinHistoryDepths);
+        IWatchlistIndicator watchlistIndicator = indicator;
+        Assert.Equal(0, watchlistIndicator.MinHistoryDepths);
+    }
+
+    [Fact]
+    public void StdDevIndicator_Initialize_CreatesInternalStdDev()
+    {
+        var indicator = new StdDevIndicator { Period = 10 };
+
+        // Initialize should not throw
+        indicator.Initialize();
+
+        // After init, line series should exist
+        Assert.Single(indicator.LinesSeries);
+        Assert.Equal("StdDev", indicator.LinesSeries[0].Name);
+    }
+
+    [Fact]
+    public void StdDevIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
+    {
+        var indicator = new StdDevIndicator { Period = 5 };
+        indicator.Initialize();
+
+        // Add historical data
+        var now = DateTime.UtcNow;
+        // Need enough bars for Period
+        for (int i = 0; i < 20; i++)
+        {
+            indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i);
+
+            // Process update for each bar to simulate history loading
+            var args = new UpdateArgs(UpdateReason.HistoricalBar);
+            indicator.ProcessUpdate(args);
+        }
+
+        // Line series should have a value
+        double stdDev = indicator.LinesSeries[0].GetValue(0);
+
+        Assert.True(double.IsFinite(stdDev));
+    }
+}
diff --git a/lib/statistics/variance/Variance.Tests.cs b/lib/statistics/variance/Variance.Tests.cs
index 913cd9b4..d2695a07 100644
--- a/lib/statistics/variance/Variance.Tests.cs
+++ b/lib/statistics/variance/Variance.Tests.cs
@@ -122,4 +122,70 @@ public class VarianceTests
             Assert.Equal(iterativeResults[i], batchResults[i], precision: 7);
         }
     }
+
+    [Fact]
+    public void Update_HandlesConstantValues_ZeroVariance()
+    {
+        var variance = new Variance(5);
+        for (int i = 0; i < 5; i++)
+        {
+            var result = variance.Update(new TValue(DateTime.UtcNow, 10));
+            if (i >= 1) // Variance defined for N >= 2
+            {
+                Assert.Equal(0, result.Value);
+            }
+        }
+    }
+
+    [Fact]
+    public void Update_HandlesNaN()
+    {
+        var variance = new Variance(5);
+        variance.Update(new TValue(DateTime.UtcNow, 1));
+        variance.Update(new TValue(DateTime.UtcNow, 2));
+        variance.Update(new TValue(DateTime.UtcNow, double.NaN));
+        
+        var result = variance.Last.Value;
+        Assert.True(double.IsNaN(result));
+    }
+
+    [Fact]
+    public void Resync_DoesNotDrift()
+    {
+        // Run for > 1000 updates to trigger Resync
+        var variance = new Variance(10);
+        var random = new Random(123);
+        
+        for (int i = 0; i < 1100; i++)
+        {
+            variance.Update(new TValue(DateTime.UtcNow, random.NextDouble() * 100));
+        }
+        
+        Assert.True(double.IsFinite(variance.Last.Value));
+        Assert.True(variance.Last.Value >= 0);
+    }
+
+    [Fact]
+    public void Batch_LargeDataset_Simd()
+    {
+        // Create large dataset to trigger SIMD path (>= 256)
+        int count = 1000;
+        var data = new double[count];
+        for (int i = 0; i < count; i++) data[i] = (double)i;
+
+        var series = new TSeries(new System.Collections.Generic.List<long>(new long[count]), new System.Collections.Generic.List<double>(data));
+        
+        // Batch calculation
+        var batchResult = Variance.Calculate(series, 10);
+        
+        // Verify last value against streaming
+        var variance = new Variance(10);
+        double lastStreaming = 0;
+        foreach (var val in data)
+        {
+            lastStreaming = variance.Update(new TValue(DateTime.UtcNow, val)).Value;
+        }
+
+        Assert.Equal(lastStreaming, batchResult.Last.Value, precision: 10);
+    }
 }
diff --git a/lib/trends/mama/Mama.Tests.cs b/lib/trends/mama/Mama.Tests.cs
index 1cbcb240..46b5ff85 100644
--- a/lib/trends/mama/Mama.Tests.cs
+++ b/lib/trends/mama/Mama.Tests.cs
@@ -178,4 +178,57 @@ public class MamaTests
             Assert.Equal(series1[i].Value, series2[i].Value, 1e-9);
         }
     }
+
+    [Fact]
+    public void Calculate_Span_Matches_Update()
+    {
+        int count = 100;
+        var data = new double[count];
+        var gbm = new GBM(startPrice: 100, seed: 42);
+        for (int i = 0; i < count; i++) data[i] = gbm.Next().Close;
+
+        var output = new double[count];
+        Mama.Calculate(data, output);
+
+        var mama = new Mama();
+        for (int i = 0; i < count; i++)
+        {
+            var res = mama.Update(new TValue(DateTime.UtcNow, data[i]));
+            Assert.Equal(res.Value, output[i], precision: 8);
+        }
+    }
+
+    [Fact]
+    public void Calculate_Span_ThrowsOnSmallOutput()
+    {
+        var data = new double[10];
+        var output = new double[5];
+        Assert.Throws<ArgumentOutOfRangeException>(() => Mama.Calculate(data, output));
+    }
+
+    [Fact]
+    public void Prime_PreloadsState()
+    {
+        var data = new double[60];
+        var gbm = new GBM(startPrice: 100, seed: 42);
+        for (int i = 0; i < 60; i++) data[i] = gbm.Next().Close;
+
+        // 1. Prime with all but last value
+        var mamaPrimed = new Mama();
+        mamaPrimed.Prime(data.AsSpan().Slice(0, 59));
+
+        // 2. Update with last value
+        var resultPrimed = mamaPrimed.Update(new TValue(DateTime.UtcNow, data[59]));
+
+        // 3. Run normal updates for comparison
+        var mamaNormal = new Mama();
+        TValue resultNormal = default;
+        for (int i = 0; i < 60; i++)
+        {
+            resultNormal = mamaNormal.Update(new TValue(DateTime.UtcNow, data[i]));
+        }
+
+        Assert.True(mamaPrimed.IsHot);
+        Assert.Equal(resultNormal.Value, resultPrimed.Value, precision: 9);
+    }
 }
diff --git a/lib/trends/pwma/Pwma.Tests.cs b/lib/trends/pwma/Pwma.Tests.cs
index fe190a78..4c4e4396 100644
--- a/lib/trends/pwma/Pwma.Tests.cs
+++ b/lib/trends/pwma/Pwma.Tests.cs
@@ -8,6 +8,7 @@ public class PwmaTests
     {
         Assert.Throws<ArgumentException>(() => new Pwma(0));
         Assert.Throws<ArgumentException>(() => new Pwma(-1));
+        Assert.Throws<ArgumentNullException>(() => new Pwma(null!, 10));
 
         var pwma = new Pwma(10);
         Assert.NotNull(pwma);
diff --git a/lib/trends/pwma/Pwma.cs b/lib/trends/pwma/Pwma.cs
index a510f10d..61e83be6 100644
--- a/lib/trends/pwma/Pwma.cs
+++ b/lib/trends/pwma/Pwma.cs
@@ -56,6 +56,7 @@ public sealed class Pwma : AbstractBase
 
     public Pwma(ITValuePublisher source, int period) : this(period)
     {
+        if (source == null) throw new ArgumentNullException(nameof(source));
         source.Pub += (item) => Update(item);
     }
 
diff --git a/qodana.yaml b/qodana.yaml
index 65bd0c46..f2360db9 100644
--- a/qodana.yaml
+++ b/qodana.yaml
@@ -109,3 +109,8 @@ linter: jetbrains/qodana-dotnet:2024.3
 
 dotnet:
   solution: QuanTAlib.sln
+
+coverage:
+  pathMappings:
+    - from: ""
+      to: /data/project