{"id":4069,"date":"2026-10-06T03:11:32","date_gmt":"2026-10-06T03:11:32","guid":{"rendered":"http:\/\/blog.valuengine.com\/?p=4069"},"modified":"2026-10-06T03:38:35","modified_gmt":"2026-10-06T03:38:35","slug":"10-05-2026-valuengine-weekly-commentary","status":"publish","type":"post","link":"http:\/\/blog.valuengine.com\/index.php\/10-05-2026-valuengine-weekly-commentary\/","title":{"rendered":"10\/05\/2026 ValuEngine Weekly Commentary: YTD and Q3 Performance Analysis, Strategy Notes"},"content":{"rendered":"<p><strong>Weekly Market Recap &#8211; Week Ending Oct 02, 2026<\/strong><\/p>\n<p>U.S. equity markets were mixed this week, with gains in technology-related areas offset by weakness across several broader market and defensive sectors. The NASDAQ 100 ETF (<strong>QQQM<\/strong>) rose 0.70%, supported by a 1.80% gain in Technology (<strong>XLK<\/strong>), while the S&amp;P 500 ETF (<strong>SPYM<\/strong>) slipped 0.22%. Energy (<strong>XLE<\/strong>) and Utilities (<strong>XLU<\/strong>) also posted gains, but Financials (<strong>XLF<\/strong>), Health Care (<strong>XLV<\/strong>), Communication Services (<strong>XLC<\/strong>), Materials (<strong>XLB<\/strong>), Consumer Staples (<strong>XLP<\/strong>), Real Estate (<strong>XLRE<\/strong>), Small Caps (<strong>VB<\/strong>), and Dividend Equity (<strong>SCHD<\/strong>) moved lower, showing that market breadth remained selective. Stock-specific momentum remained strong in technology, semiconductors, software, and biotechnology, led by Everpure (<strong>P<\/strong>), Moderna (<strong>MRNA<\/strong>), Datadog (<strong>DDOG<\/strong>), Credo Technology (<strong>CRDO<\/strong>), Murata Manufacturing (<strong>MRAAY<\/strong>), and United Microelectronics (<strong>UMC<\/strong>).<\/p>\n<p style=\"text-align: center;\">Trade ValuEngine supported portfolio strategies,<a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\">\u00a0www.ValuEngineCapital.com<\/a><\/p>\n<p>In the below tables we use major ETF\u2019s as a proxy for some major indexes as well as each of the sector groups into which we divide the overall markets. Tracking these over time provides a more defined picture of the US markets than simply tracking major indexes. This is followed by notable individual stock movers over the past month, and finally our full strategy outlook. In this week&#8217;s update we continue on after the initial summary to expand into Year to Date and third quarter performance. There are some things happening.<\/p>\n<p>Last Week ETF\/Sector performance:<\/p>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"45\"><\/colgroup>\n<colgroup width=\"356\"><\/colgroup>\n<colgroup width=\"60\"><\/colgroup>\n<colgroup width=\"141\"><\/colgroup>\n<colgroup width=\"98\"><\/colgroup>\n<tbody>\n<tr>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Ticker&quot;}\"><b><span style=\"color: #000000;\">Ticker<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Name&quot;}\"><b><span style=\"color: #000000;\">Name<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VE Rating&quot;}\"><b><span style=\"color: #000000;\">VE Rating<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Last Week's Close Price&quot;}\"><b><span style=\"color: #000000;\">Last Week&#8217;s Close Price<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Weekly Change&quot;}\"><b><span style=\"color: #000000;\">Weekly Change<\/span><\/b><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;QQQM&quot;}\"><span style=\"color: #000000;\">QQQM<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Invesco NASDAQ 100 ETF&quot;}\"><span style=\"color: #000000;\">Invesco NASDAQ 100 ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">306.54<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">0.70%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;SCHD&quot;}\"><span style=\"color: #000000;\">SCHD<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Schwab US Dividend Equity ETF&quot;}\"><span style=\"color: #000000;\">Schwab US Dividend Equity ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">33.21<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.48%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;SPYM&quot;}\"><span style=\"color: #000000;\">SPYM<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street SPDR Portfolio S&amp;P 500 ETF&quot;}\"><span style=\"color: #000000;\">State Street SPDR Portfolio S&amp;P 500 ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">90.8<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.22%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VB&quot;}\"><span style=\"color: #000000;\">VB<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Vanguard Morningstar Small-Cap ETF&quot;}\"><span style=\"color: #000000;\">Vanguard Morningstar Small-Cap ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">289.7<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.25%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLB&quot;}\"><span style=\"color: #000000;\">XLB<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Materials Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Materials Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">49.8<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.89%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLC&quot;}\"><span style=\"color: #000000;\">XLC<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Com Svc Sel Sec SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Com Svc Sel Sec SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">112.96<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-2.34%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLE&quot;}\"><span style=\"color: #000000;\">XLE<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Energy Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Energy Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">62.04<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">1.26%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLF&quot;}\"><span style=\"color: #000000;\">XLF<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Financial Sel Sec SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Financial Sel Sec SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">54.84<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-2.46%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLI&quot;}\"><span style=\"color: #000000;\">XLI<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Industrial Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Industrial Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">170.43<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.28%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLK&quot;}\"><span style=\"color: #000000;\">XLK<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Technology Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Technology Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">196.27<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">1.80%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLP&quot;}\"><span style=\"color: #000000;\">XLP<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Consumer Staples Sel Sect SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Consumer Staples Sel Sect SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">82.06<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.86%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLRE&quot;}\"><span style=\"color: #000000;\">XLRE<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Real Estate Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Real Estate Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">41.56<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.80%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLU&quot;}\"><span style=\"color: #000000;\">XLU<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Utilities Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Utilities Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">39.51<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">0.81%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLV&quot;}\"><span style=\"color: #000000;\">XLV<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Health Care Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Health Care Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">170.7<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-2.65%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLY&quot;}\"><span style=\"color: #000000;\">XLY<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Consumer Disc Sel Sect SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Consumer Disc Sel Sect SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">110.56<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.47%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\">Current ValuEngine reports on all covered 5000+ stocks and ETFs can be viewed\u00a0<a href=\"https:\/\/valuengine.com\/dashboard\/login\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/p>\n<p>Last Week Top 3 Stock Performers (Global):<\/p>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"212\"><\/colgroup>\n<colgroup width=\"60\"><\/colgroup>\n<colgroup width=\"99\"><\/colgroup>\n<colgroup width=\"108\"><\/colgroup>\n<colgroup width=\"118\"><\/colgroup>\n<tbody>\n<tr>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Ticker&quot;}\"><b><span style=\"color: #000000;\">Ticker<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Name&quot;}\"><b><span style=\"color: #000000;\">Name<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VE Rating&quot;}\"><b><span style=\"color: #000000;\">VE Rating<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Last Close Price&quot;}\"><b><span style=\"color: #000000;\">Last Close Price<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Price 30 Days Ago&quot;}\"><b><span style=\"color: #000000;\">Price 30 Days Ago<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Monthly Difference&quot;}\"><b><span style=\"color: #000000;\">Monthly Difference<\/span><\/b><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;CRDO&quot;}\"><span style=\"color: #000000;\">CRDO<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Credo Technology Group Holding Ltd&quot;}\"><span style=\"color: #000000;\">Credo Technology Group Holding Ltd<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">218.64<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">167.75<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">30.34%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;MRAAY&quot;}\"><span style=\"color: #000000;\">MRAAY<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Murata Manufacturing ADR&quot;}\"><span style=\"color: #000000;\">Murata Manufacturing ADR<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">27.54<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">22.77<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">20.95%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;UMC&quot;}\"><span style=\"color: #000000;\">UMC<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;United Microelectronics Corp&quot;}\"><span style=\"color: #000000;\">United Microelectronics Corp<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">26.27<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">21.82<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">20.39%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>Last Week Top 3 Stock Performers (US):<\/p>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"212\"><\/colgroup>\n<colgroup width=\"60\"><\/colgroup>\n<colgroup width=\"99\"><\/colgroup>\n<colgroup width=\"108\"><\/colgroup>\n<colgroup width=\"118\"><\/colgroup>\n<tbody>\n<tr>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Ticker&quot;}\"><b><span style=\"color: #000000;\">Ticker<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Name&quot;}\"><b><span style=\"color: #000000;\">Name<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VE Rating&quot;}\"><b><span style=\"color: #000000;\">VE Rating<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Last Close Price&quot;}\"><b><span style=\"color: #000000;\">Last Close Price<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Price 30 Days Ago&quot;}\"><b><span style=\"color: #000000;\">Price 30 Days Ago<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Monthly Difference&quot;}\"><b><span style=\"color: #000000;\">Monthly Difference<\/span><\/b><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;P&quot;}\"><span style=\"color: #000000;\">P<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Everpure Inc&quot;}\"><span style=\"color: #000000;\">Everpure Inc<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">140.14<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">101.14<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">38.56%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;MRNA&quot;}\"><span style=\"color: #000000;\">MRNA<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Moderna Inc&quot;}\"><span style=\"color: #000000;\">Moderna Inc<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 4}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">190.01<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">140.33<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">35.40%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;DDOG&quot;}\"><span style=\"color: #000000;\">DDOG<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Datadog Inc&quot;}\"><span style=\"color: #000000;\">Datadog Inc<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">277.22<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">210.23<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">31.87%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\">Free Trial: Direct Access to ValuEngine Research on over 5,000 stocks and 700 ETFs\u00a0<a href=\"https:\/\/ww2.valuengine.com\/products-and-pricing\/\" target=\"_blank\" rel=\"noopener\">HERE<br \/>\n<\/a><\/p>\n<p><span style=\"color: #4472c4;\"><b>Strategy Note:<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Each week we provide an update as to how benchmark index ETFs and Select Sector SPDR ETFs performed in the past week, as show above. Going into the fourth quarter, we decided to back that up with a year-to-date, 3<\/span><sup><span style=\"font-family: Roboto, sans-serif;\">rd<\/span><\/sup><span style=\"font-family: Roboto, sans-serif;\"> quarter vs. first half review. We also provide comparisons to how the StateStreet S&amp;P 500 ETF Trust (<\/span><span style=\"font-family: Roboto, sans-serif;\"><strong>SPY<\/strong><b>) <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">performed in three different time periods to<\/span><b> <\/b><span style=\"font-family: Roboto, sans-serif;\">glean insights. <\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Here are the indexes beyond <\/span><strong><span style=\"font-family: Roboto, sans-serif;\">SPY <\/span><\/strong><span style=\"font-family: Roboto, sans-serif;\">include in the analysis,<\/span><\/p>\n<ol>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>SPYM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (State Street SPDR Portfolio S&amp;P 500 ETF): This passively managed fund tracks the S&amp;P 500 Index, providing low-cost exposure to the 500 largest US large-cap corporations. (Note: Formerly traded under the ticker SPLG).<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>QQQM <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">(Invesco NASDAQ 100 ETF): Known as the &#8220;QQQ Mini,&#8221; this ETF tracks the Nasdaq-100 Index, offering concentrated exposure to the largest non-financial innovative, tech, and growth leaders at a lower expense ratio than flagship QQQ.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>MDY <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">(SPDR S&amp;P MidCap 400 ETF Trust): Tracks the S&amp;P MidCap 400 Index, targeting established middle-tier US corporations positioned between aggressive small-caps and mature large-caps.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>IWM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (iShares Russell 2000 ETF): Tracks the Russell 2000 Index, serving as the primary benchmark for US small-cap equities to capture high-growth economic cycles.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>VTV<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (Vanguard Value ETF): Tracks the CRSP US Large Cap Value Index, targeting major undervalued US equities with strong balance sheets, stable earnings, and higher dividend distribution characteristics.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>VUG <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">(Vanguard Growth ETF): Tracks the CRSP US Large Cap Growth Index, prioritizing fast-growing US large-cap corporations with strong forward earnings expansion potential.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>SCHD<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (Schwab U.S. Dividend Equity ETF): Tracks the Dow Jones U.S. Dividend 100 Index, emphasizing high-yielding, fundamentally sound US companies with a strict 10-year track record of consistent dividend payments.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>VEU<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (Vanguard FTSE All-World ex-US ETF): Tracks the FTSE All-World ex US Index, offering extensive diversification across international developed and emerging stock markets, completely excluding US equities.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>EEM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (iShares MSCI Emerging Markets ETF): Tracks the MSCI Emerging Markets Index, providing direct equity exposure to developing global economies (e.g., China, India, Taiwan, Brazil).<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>GLDM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (SPDR Gold MiniShares Trust): A physically backed commodity vehicle designed to track the spot price of Gold bullion, operating as a portfolio hedge against inflation and volatility at a reduced share price entry point.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>IBIT<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (iShares Bitcoin Trust): A spot cryptocurrency vehicle that tracks the market price performance of Bitcoin, allowing direct digital asset exposure through standard brokerage accounts.<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\"><b>TLT<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (iShares 20+ Year Treasury Bond ETF): Tracks an index of U.S. Treasury bonds with remaining maturities greater than 20 years, serving as a primary safe-haven asset highly sensitive to federal interest rate changes.<\/span><\/li>\n<\/ol>\n<p style=\"text-align: center;\">Current ValuEngine reports on all covered 5000+ stocks and ETFs can be viewed\u00a0<a href=\"https:\/\/valuengine.com\/dashboard\/login\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/p>\n<table width=\"511\" cellspacing=\"0\" cellpadding=\"7\">\n<tbody>\n<tr>\n<td rowspan=\"2\" width=\"42\" height=\"37\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>Ticker<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"center\"><span style=\"color: #000000;\">\u00a0<\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>2026 Q1 through Q2 % Price Chg<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>2026 Q3 % Change<\/b><\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>YTD Price Change<\/b><\/span><\/span><\/p>\n<\/td>\n<td rowspan=\"2\" width=\"54\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1-Yr Rolling Price Chg<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>Ann. Std. Deviation<\/b><\/span><\/span><\/p>\n<\/td>\n<td rowspan=\"2\" width=\"35\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>P\/E Ratio<\/b><\/span><\/span><\/p>\n<\/td>\n<td rowspan=\"2\" width=\"34\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>Div. Yield<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>VE Rating<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>(Jan 1 &#8211; Jun 30)<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>(Jul 1 &#8211; Sep 30)<\/b><\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>(9-Month)<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>(Vol.)<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>SPYM<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>4<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">6.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">4.7%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>11.7%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">12.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">14.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">24.1<\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.3%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>QQQM<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>5<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">15.3%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">4.7%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>20.7%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>31.0%<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">18.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">30.1<\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">0.5%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>MDY<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>3<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">13.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-5.6%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>9.7%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">11.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">16.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>14.7<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.3%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>IWM<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>4<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>20.5%<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-7.3%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>11.7%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">17.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">19.8%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">18.2<\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.1%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>VTV<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>3<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">13.3%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-1.1%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>12.1%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">12.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>11.5%<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">20.1<\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.9%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>VUG<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>5<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>8.9%<\/b><\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>11.2%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">12.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">17.9%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">34.2<\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">0.5%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>SCHD<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>2<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">15.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.4%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>17.3%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">30.0%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">12.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">16.4<\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>3.4%<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>VEU<\/b><\/span><\/span><\/td>\n<td width=\"42\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>N\/A<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">5.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.2%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>7.4%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">9.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">13.8%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">15.1<\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.9%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>EEM<\/b><\/span><\/span><\/td>\n<td width=\"42\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>N\/A<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">3.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">4.2%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>7.7%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">8.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">16.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>12.8<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.4%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>GLDM<\/b><\/span><\/span><\/td>\n<td width=\"42\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>N\/A<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">11.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">6.4%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>18.3%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">21.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">14.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">&#8212;<\/span><\/span><\/td>\n<td width=\"34\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">&#8212;<\/span><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>IBIT<\/b><\/span><\/span><\/td>\n<td width=\"42\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>N\/A<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>28.4%<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-12.1%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>12.9%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>45.2%<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">48.3%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">&#8212;<\/span><\/span><\/td>\n<td width=\"34\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">&#8212;<\/span><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>TLT<\/b><\/span><\/span><\/td>\n<td width=\"42\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>N\/A<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-4.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-3.8%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>-7.8%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-5.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">14.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">&#8212;<\/span><\/span><\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>5.0%<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"21\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>SPY (5-Yr Avg)<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>4<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">9.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.1%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>11.5%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>13.2%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>15.8%<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>23.6<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1.3%<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"21\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>SPY (10-Yr Avg)<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>4<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">10.3%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.0%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>12.6%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>11.9%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>15.3%<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>20.5<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1.6%<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"42\" height=\"20\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>SPY (20-Yr Avg)<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>4<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">8.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"43\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.8%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"50\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>10.2%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"54\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>10.3%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"41\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>15.3%<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>16.8<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"34\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1.9%<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-family: Roboto, sans-serif;\">A discerning reader looking at the core portfolio tracking matrix\u2014particularly the relationship between the specialized ETFs and the multi-year SPY benchmarks at the bottom\u2014can extract several institutional-grade insights about market regime shifts, risk pricing, and diversification efficacy.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">1. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>Growth Outpaces the 20-Year Baseline<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">The <strong>QQQM<\/strong> (+20.68%) and <strong>VUG<\/strong> (+11.21%) YTD returns significantly outpace the <strong>SPY<\/strong> 20-Year Average (+10.15%). This confirms that the market&#8217;s secular regime remains firmly anchored in mega-cap growth and technology expansion, rather than reverting to long-term historical means.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">2. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>A Violent Style Rotation Shook Q3<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">A sharp divergence emerged in Q3: <strong>VUG<\/strong> jumped +8.88% while <strong>VTV<\/strong> slid -1.06%. This indicates a powerful mid-year rotation where capital rapidly abandoned defensive value positions to chase high-beta growth momentum.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">3. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>Small and Mid-Caps Are Showing &#8220;Fake-outs&#8221;<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Both <strong>IWM<\/strong> (Small-Cap) and <strong>MDY<\/strong> (Mid-Cap) posted massive, explosive gains in first half of the year (+20.52% and +13.74%), only to aggressively surrender some of those gains in Q3 (-7.32% and -5.55%). This technical failure suggests that broader market participation is weak, and small\/mid-caps are struggling to sustain breakouts.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">4. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>Arithmetic vs. Geometric Distortions Hidden in the Benchmark<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">By utilizing simple numerical averages for the SPY benchmarks, the 1-Yr Rolling Price Changes (5-Yr: +13.15%, 10-Yr: +11.85%, 20-Yr: +10.33%) appear higher than traditional geometric (CAGR) returns. A discerning reader will recognize that this presentation strips out the compounding &#8220;volatility drag&#8221; of market downturns.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">5. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>Dividend Yields Compete with Volatility Profiles<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\"><strong>SCHD<\/strong> offers a 3.36% dividend yield with an annualized standard deviation of 12.5%. When compared to <strong>VTV<\/strong> (1.87% yield, 11.5% volatility), SCHD delivers nearly double the income distribution for only a marginal increase in total portfolio risk, making it a highly efficient equity income engine.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">6. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>The Long-Term Valuation Creep Is Real<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">The numerical average P\/E ratio shifts from 16.80 (20-Yr) to 20.54 (10-Yr), and up to 23.64 (5-Yr). This structural expansion proves that equity investors have become willing to pay progressively higher premiums for corporate earnings over the last two decades.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">7. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>Core Diversification Failed Outside the US<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">International exposure via <strong>VEU<\/strong> (+7.41% YTD) and <strong>EEM<\/strong> (+7.69% YTD) under-performed almost every domestic large-cap strategy. Despite lower P\/E ratios (15.10 and 12.80), international equities acted as a drag on total return rather than a helpful diversifier.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">8. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>The Safe-Haven Anchor is Broken<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Typically used to balance equity risk, <strong>TLT<\/strong> lost -7.81% YTD while exhibiting a 14.2% standard deviation\u2014a volatility profile practically identical to international stocks (VEU at 13.8%). This highlights a broken correlation regime where long-duration bonds fail to provide a safe haven during equity drawdowns.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">9. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>The Popularity of <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">\u201c<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>Buffered\u201d ETFs has Grown Exponentially<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Double-digit losses in <strong>TLT<\/strong> and other treasury-bond ETFs has spooked investors badly. Many have turned to buffered ETFs as a better way of building in a safe-harbor to participate in stock market rallies but to mitigate participation in a decline. First Trust operates the category&#8217;s largest individual fund by assets, the FT Vest Laddered Buffer ETF (<strong>BUFR<\/strong>).<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">10. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>Digital vs. Physical Alternative Assets Diverged<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Alternative asset classes showed completely uncorrelated behaviors: <strong>GLDM<\/strong> (Gold) posted a remarkably steady +18.32% YTD gain with low relative volatility, while <strong>IBIT<\/strong> (Bitcoin) surged +12.86% YTD but subjected investors to a massive -12.10% Q3 drawdown and a crushing 48.3% standard deviation.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">11. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>SPYM and SPY Averages Reveal a Premium Market<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">The current core benchmark <strong>SPYM<\/strong> holds a 24.10 P\/E ratio, which sits higher than the 5-year, 10-year, and 20-year historical averages. This indicates that the broader market enters the final stretch of the year trading at an historically expensive valuation multiple.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">12. <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>Look for the \u201cM\u201d as the Fourth Letter in the Ticker Symbol<\/b><\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Savvy investors will buy: <strong>SPYM<\/strong> in lieu of <strong>SPY<\/strong>; <strong>GLDM<\/strong> in lieu of <strong>GLD<\/strong> and <strong>QQQM<\/strong> in lieu of <strong>QQQ<\/strong>, The \u201cm\u201d is supposed to stand for mini, but the only actual differences are lower prices per shares and much lower fees. <strong>SPYM<\/strong> not only has a fee less than 25% that of <strong>SPY<\/strong> but also is considerably more efficient resulting in slightly higher returns since the structure of SPY is antiquated.\u00a0 \u00a0Its UIT structure does not allow it to reinvest dividends or lend securities. <strong>GLD<\/strong> has a very high expense ratio of 0.40% as compared with mini <strong>GLDM<\/strong> with a fee of 0.10%. <\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Turning to how the sectors have done so far this year, there are few surprises here relative to the recent week. The breakdown of the StateStreet Select Sector SPDRs along with key industry themes are as follows: <\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLB<\/strong> (Materials): Chemicals, metals, and construction materials companies.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLC<\/strong> (Communication Services): Telecom, social media, and entertainment firms.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLE<\/strong> (Energy): Oil, gas, and energy equipment providers.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLF<\/strong> (Financials): Banks, insurance companies, and asset managers.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLRE<\/strong> (Real Estate): Real Estate Investment Trusts (REITs).<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLK<\/strong> (Technology): Software, hardware, and semiconductor manufacturers.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLI<\/strong> (Industrials): Aerospace, defense, machinery, and logistics companies.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLP<\/strong> (Consumer Staples): Household goods, food, and hygiene products.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLU<\/strong> (Utilities): Electric, gas, and water utility operators.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLV<\/strong> (Healthcare): Pharmaceuticals, biotech, and medical equipment.<\/span><\/p>\n<p>\u2022<span style=\"font-family: Roboto, sans-serif;\"><strong> XLY<\/strong> (Consumer Discretionary): Retailers, automakers, and luxury services.<\/span><\/p>\n<p style=\"text-align: center;\">Current ValuEngine reports on all covered 5000+ stocks and ETFs can be viewed\u00a0<a href=\"https:\/\/valuengine.com\/dashboard\/login\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/p>\n<table width=\"511\" cellspacing=\"0\" cellpadding=\"7\">\n<colgroup>\n<col width=\"70\" \/> <\/colgroup>\n<colgroup>\n<col width=\"42\" \/>\n<col width=\"35\" \/> <\/colgroup>\n<colgroup>\n<col width=\"35\" \/> <\/colgroup>\n<colgroup>\n<col width=\"36\" \/> <\/colgroup>\n<colgroup>\n<col width=\"42\" \/> <\/colgroup>\n<colgroup>\n<col width=\"58\" \/> <\/colgroup>\n<colgroup>\n<col width=\"31\" \/> <\/colgroup>\n<colgroup>\n<col width=\"33\" \/> <\/colgroup>\n<tbody>\n<tr>\n<td rowspan=\"2\" width=\"70\" height=\"31\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>Ticker<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"center\"><span style=\"color: #000000;\">\u00a0<\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>2026 H1 % Price Chg<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>2026 Q3 % Chg<\/b><\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>YTD Price Chg<\/b><\/span><\/span><\/p>\n<\/td>\n<td rowspan=\"2\" width=\"42\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1-Yr Rolling Price Chg<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>Ann. Std. Dev.<\/b><\/span><\/span><\/p>\n<\/td>\n<td rowspan=\"2\" width=\"31\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>P\/E Ratio<\/b><\/span><\/span><\/p>\n<\/td>\n<td rowspan=\"2\" width=\"33\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>Div. Yield<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"42\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>VE Rating<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>(Jan 1 &#8211; Jun 30)<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>(Jul 1 &#8211; Sep 30)<\/b><\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>(9-Mth)<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"center\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>(Volatility)<\/b><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLB<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\">2<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">11.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-4.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>6.5%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">13.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">14.8%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">17.5<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.72%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"70\" height=\"27\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLC<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Communication)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>2<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-2.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-2.6%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>-4.7%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">14.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">16.9%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">25.1<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.2%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"15\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLE<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Energy)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>3<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">28.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">16.8%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>44.9%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">38.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">22.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">12.4<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">3.4%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"15\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLF<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Financials)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>2<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">4.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.1%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>6.3%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">11.8%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">14.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">15.8<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.9%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"27\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLRE<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Real Estate)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">8.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.8%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>11.0%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">8.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">18.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">32.4<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">3.5%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"27\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLK<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Technology)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>5<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">21.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">8.4%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>29.8%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">35.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">20.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">32.6<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">0.7%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"5\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLI <\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>3<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">9.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">4.3%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>13.5%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">16.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">15.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">26.3<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.1%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"15\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLP<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Staples)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">7.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">3.6%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>10.8%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">9.3%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">11.8%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">21.9<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">2.6%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"15\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLU<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Utilities)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.9%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-1.7%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>0.2%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-4.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">15.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">17.6<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">3.1%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"27\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLV<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Healthcare)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>2<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">6.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">4.7%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>11.1%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">12.5%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">13.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">19.4<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.6%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"27\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>XLY<\/b><\/span><\/span><span style=\"color: #000000;\"><span style=\"font-size: xx-small;\"> (Discretionary)<\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>1<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">0.8%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">-2.8%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>-2.0%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">14.1%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">17.4%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">24.8<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">0.9%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td width=\"70\" height=\"4\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>SPYM<\/b><\/span><\/span><\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><b>4<\/b><\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">6.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"35\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">4.7%<\/span><\/span><\/p>\n<\/td>\n<td bgcolor=\"#e8e8e8\" width=\"36\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\"><i>11.7%<\/i><\/span><\/span><\/p>\n<\/td>\n<td width=\"42\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">12.7%<\/span><\/span><\/p>\n<\/td>\n<td width=\"58\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">12.2%<\/span><\/span><\/p>\n<\/td>\n<td width=\"31\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">24.1<\/span><\/span><\/p>\n<\/td>\n<td width=\"33\">\n<p align=\"right\"><span style=\"color: #000000;\"><span style=\"font-size: small;\">1.3%<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\">Trade ValuEngine supported portfolio strategies,<a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\">\u00a0www.ValuEngineCapital.com<\/a><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Key insights include:<\/span><\/p>\n<ol>\n<li><span style=\"font-family: Roboto, sans-serif;\">Growth Heavyweight Dominance: <strong>SPYM<\/strong>&#8216;s 2026 performance (+11.66% YTD) is heavily skewed by a tiny group of sectors. <strong>XLK<\/strong> (+29.83% YTD) and <strong>XLB<\/strong> (+17.19% YTD) are the primary engines dragging the cap-weighted index upward.<\/span><\/li>\n<\/ol>\n<ol start=\"2\">\n<li><span style=\"font-family: Roboto, sans-serif;\">The Energy Alpha Engine: <strong>XLE<\/strong> (+44.89% YTD) has completely decoupled from the broader market baseline. It delivered nearly 4x the return of SPYM with a higher but highly efficient volatility profile (22.4% Std. Dev.).<\/span><\/li>\n<li><span style=\"font-family: Roboto, sans-serif;\">Defensive Capitulation Drag: <strong>XLY<\/strong> (-1.95% YTD) and <strong>XLC<\/strong> (-4.72% YTD) acted as massive anchors on SPYM&#8217;s upside. Their weakness explains why the total index trailed behind its pure technology components.<\/span><\/li>\n<\/ol>\n<ol start=\"4\">\n<li><span style=\"font-family: Roboto, sans-serif;\">The Yield-Hunting Value Trap: High-dividend sectors like <strong>XLU<\/strong> (+0.19% YTD) and <strong>XLP<\/strong> (+10.75% YTD) underperformed <strong>SPYM<\/strong>&#8216;s capital gains. This demonstrates that chasing defensive yield in a growth-led environment results in severe underperformance.<\/span><\/li>\n<\/ol>\n<ol start=\"5\">\n<li><span style=\"font-family: Roboto, sans-serif;\">Valuation Multiple Expansion: <strong>SPYM<\/strong> commands a steep 24.10 P\/E ratio. This premium is driven entirely by XLK (32.60 P\/E) and XLRE (32.40 P\/E), making the core index historically expensive relative to standard cyclical valuations.<\/span><\/li>\n<\/ol>\n<ol start=\"6\">\n<li><span style=\"font-family: Roboto, sans-serif;\">Financials as a Low-Beta Stabilizer: <strong>XLF<\/strong> (+6.26% YTD) underperformed <strong>SPYM<\/strong> but exhibited remarkably muted volatility (14.1% Std. Dev.). This positions the financial sector as a stabilizing force within the broader index.<\/span><\/li>\n<\/ol>\n<ol start=\"7\">\n<li><span style=\"font-family: Roboto, sans-serif;\">Severe Technical Divergence: While <strong>SPYM<\/strong> sits at a high-level valuation plateau, its underlying sectors are experiences extreme fractures. <strong>XLK<\/strong> is severely overbought (RSI &gt; 83) while <strong>XLU<\/strong> and <strong>XLP<\/strong> are critically oversold (RSI &lt; 33), highlighting a deeply fragmented market under the surface.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-family: Roboto, sans-serif;\">Not to blow our own horn, but last week on an individual stock basis we anticipated Micron Technology\u2019s <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>(MU<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">) impending report and noted several tech names, also rated <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>5<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> (Strong Buy) from ValuEngine, that were likely to rise from the report along with MU if it exceeded expectations. When it did so, these names did indeed followed suit. The risers include:<\/span><\/p>\n<p>\u2022 <span style=\"font-family: Roboto, sans-serif;\">Advanced Micro Devices (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>AMD<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">): +4.28% (Led the group&#8217;s upward push as a direct peer in advanced AI memory architecture needs).<\/span><\/p>\n<p>\u2022 <span style=\"font-family: Roboto, sans-serif;\">NVIDIA Corporation (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>NVDA<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">): +3.65% (Rallied aggressively on confirmation that data center and high-bandwidth memory infrastructure spending continues to accelerate).<\/span><\/p>\n<p>\u2022 <span style=\"font-family: Roboto, sans-serif;\">Broadcom Inc. (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>AVGO<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">): +2.94% (Gained solid ground as macro chip demand fears evaporated).<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">All retain their 5 rating from ValuEngine as of this writing.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Finally, now that we are getting closer to the midterm results, historically we are closer to a year-end upswing. Since the historical 3<\/span><sup><span style=\"font-family: Roboto, sans-serif;\">rd<\/span><\/sup><span style=\"font-family: Roboto, sans-serif;\"> quarter downturn never happened, it remains to be seen if we\u2019ll have a fourth quarter upswing anyway. That said, between the momentum of continued strong earnings reports for the largest cap tech and energy stocks combined with a growing expectation that gridlock will return to Congress, and given that we still rate <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>QQQ <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">with a <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>5 <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">and <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>SPYM <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">with a <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>4 <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">(Buy), we look for the upward momentum in large cap to continue. It also now looks like any continuation of the great rotation which started in the first half of this year will have to wait until 2027 at the earliest.<\/span><\/p>\n<p>Herb Blank<\/p>\n<p>Chief Quantitative Analyst, ValuEngine.com<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/www.valuengine.com\/\">www.ValuEngine.com<\/a> (ValuEngine, Inc) is a stock valuation and forecasting service founded by Ivy League finance academics. VE utilizes the most advanced quantitative techniques and analysis available to analyze over 4,200 US stocks, 700 US ETFs, and 1,000 Canadian stocks. Fair market valuations, forecast target prices, and buy\/hold\/sell recommendations are updated DAILY.<\/p>\n<p>Full Two Week Free Trial <a href=\"http:\/\/www.valuengine.com\/pub\/VeSubscribeInfo\">HERE<\/a><\/p>\n<p><a href=\"http:\/\/www.valuenginecapital.com\/\">www.ValuEngineCapital.com<\/a> (ValuEngine Capital Management, LLC) is a Registered Investment Advisory firm that trades six distinct portfolios based upon the ValuEngine.com research models. Each portfolio has a different risk\/return profile. Clients can be placed in strategies that fit their specific investment needs, or allocated across several portfolios. Funds can be shifted across the portfolios quickly to accommodate changes in the markets and needs of the client. Much of the content and data in these blogs is directly used in the ValuEngine Capital portfolios, including the ValuEngine model data on over 5,000 stocks and 750 ETFs to search for positions in each portfolio. Details and performance is available on www.ValuEngineCapital.com and upon request.<\/p>\n<p>clientservices@ValuEngineCapital.com<\/p>\n<p>View Portfolio descriptions and performance <a href=\"https:\/\/www.valuenginecapital.com\/\">HERE<\/a><\/p>\n<p><a href=\"http:\/\/blog.valuengine.com\/\">BLOG.VALUENGINE.COM <\/a>for the full history of ValuEngine.com financial blog posts<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Weekly Market Recap &#8211; Week Ending Oct 02, 2026 U.S. equity markets were mixed this week, with gains in technology-related areas offset by weakness across several broader market and defensive sectors. The NASDAQ 100 ETF (QQQM) rose 0.70%, supported by a 1.80% gain in Technology (XLK), while the S&amp;P 500 ETF (SPYM) slipped 0.22%. Energy &#8230; <a title=\"10\/05\/2026 ValuEngine Weekly Commentary: YTD and Q3 Performance Analysis, Strategy Notes\" class=\"read-more\" href=\"http:\/\/blog.valuengine.com\/index.php\/10-05-2026-valuengine-weekly-commentary\/\" aria-label=\"More on 10\/05\/2026 ValuEngine Weekly Commentary: YTD and Q3 Performance Analysis, Strategy Notes\">Read more<\/a><\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,130,39],"tags":[3439,75,2768,31,2647,2500,2515,3178,3179,2720,2238,1760,1761,1776,1731,2316,1834,2897,1833,3177,2994,2995,77,2642,678,3349,2006,1689,2011,1911,1748,2758,2801,1681,1699,1687,3425,2976,2980,28,1656,1659,63,2356,2978,2462,2403,2121,2085,2277,1849,2279,1887,1814,2707,1900,2276,2278],"class_list":["post-4069","post","type-post","status-publish","format-standard","hentry","category-dailly-bulletin","category-news","category-weekly-newsletter","tag-2026-ytd-performance","tag-amd","tag-amd-q","tag-avgo","tag-avgo-q","tag-crdo","tag-crdo-q","tag-ddog","tag-ddog-q","tag-eem","tag-etf-performance","tag-etf-ratings","tag-etf-recommendations","tag-gldm","tag-herb-blank","tag-ibit","tag-iwm","tag-market-performance","tag-mdy","tag-mraay","tag-mrna","tag-mrna-q","tag-nvda","tag-nvda-q","tag-p","tag-p-b-n","tag-qqqm","tag-quant","tag-quant-models","tag-quantitative-models","tag-schd","tag-sector-performance","tag-spym","tag-stock-models","tag-stock-ratings","tag-stock-recommendations","tag-tlt","tag-umc","tag-umc-b-n","tag-valuengine","tag-valuengine-blog","tag-valuengine-inc","tag-valuengine-com","tag-vb","tag-veu","tag-vtv","tag-vug","tag-xlb","tag-xlc","tag-xle","tag-xlf","tag-xli","tag-xlk","tag-xlp","tag-xlre","tag-xlu","tag-xlv","tag-xly"],"_links":{"self":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4069","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/comments?post=4069"}],"version-history":[{"count":4,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4069\/revisions"}],"predecessor-version":[{"id":4073,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4069\/revisions\/4073"}],"wp:attachment":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/media?parent=4069"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/categories?post=4069"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/tags?post=4069"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}