diff --git a/lib/momentum/adx/Adx.cs b/lib/momentum/adx/Adx.cs
index 87fc68ac..709824fe 100644
--- a/lib/momentum/adx/Adx.cs
+++ b/lib/momentum/adx/Adx.cs
@@ -287,6 +287,10 @@ public sealed class Adx : ITValuePublisher
 
         // Create lists for TSeries
         var tList = new List<long>(len);
+        for (int i = 0; i < len; i++)
+        {
+            tList.Add(source.Open.Times[i]);
+        }
         var vList = new List<double>(v);
 
         // Copy timestamps
diff --git a/lib/trends/pwma/Pwma.Comparison.Tests.cs b/lib/trends/pwma/Pwma.Comparison.Tests.cs
deleted file mode 100644
index e7bcec00..00000000
--- a/lib/trends/pwma/Pwma.Comparison.Tests.cs
+++ /dev/null
@@ -1,77 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using Xunit;
-using Xunit.Abstractions;
-
-namespace QuanTAlib.Tests;
-
-public class PwmaComparisonTests
-{
-    private readonly ITestOutputHelper _output;
-
-    public PwmaComparisonTests(ITestOutputHelper output)
-    {
-        _output = output;
-    }
-
-    [Fact]
-    public void Compare_O1_vs_Naive()
-    {
-        int period = 50;
-        int count = 5000;
-        var random = new Random(123);
-        var data = new List<double>();
-        for (int i = 0; i < count; i++) data.Add(random.NextDouble() * 100);
-
-        // 1. QuanTAlib O(1)
-        var pwma = new Pwma(period);
-        var qResults = new List<double>();
-        foreach (var val in data)
-        {
-            qResults.Add(pwma.Update(new TValue(DateTime.UtcNow, val)).Value);
-        }
-
-        // 2. Naive O(N)
-        var nResults = new List<double>();
-        for (int i = 0; i < count; i++)
-        {
-            if (i < period - 1)
-            {
-                // Warmup logic matching QuanTAlib
-                double sumSq = 0;
-                double wSum = 0;
-                for (int j = 0; j <= i; j++)
-                {
-                    double weight = (j + 1) * (j + 1);
-                    wSum += data[j] * weight;
-                    sumSq += weight;
-                }
-                nResults.Add(wSum / sumSq);
-            }
-            else
-            {
-                double sumSq = 0;
-                double wSum = 0;
-                for (int j = 0; j < period; j++)
-                {
-                    double weight = (j + 1) * (j + 1);
-                    wSum += data[i - period + 1 + j] * weight;
-                    sumSq += weight;
-                }
-                nResults.Add(wSum / sumSq);
-            }
-        }
-
-        // Compare
-        double maxDiff = 0;
-        for (int i = 0; i < count; i++)
-        {
-            double diff = Math.Abs(qResults[i] - nResults[i]);
-            if (diff > maxDiff) maxDiff = diff;
-        }
-
-        _output.WriteLine($"Max Difference between O(1) and Naive O(N): {maxDiff:F10}");
-        Assert.True(maxDiff < 1e-9, $"O(1) implementation diverged too much: {maxDiff}");
-    }
-}