{"id":4075,"date":"2026-10-13T11:19:00","date_gmt":"2026-10-13T11:19:00","guid":{"rendered":"http:\/\/blog.valuengine.com\/?p=4075"},"modified":"2026-10-13T11:40:27","modified_gmt":"2026-10-13T11:40:27","slug":"10-13-2026-valuengine-weekly-commentary","status":"publish","type":"post","link":"http:\/\/blog.valuengine.com\/index.php\/10-13-2026-valuengine-weekly-commentary\/","title":{"rendered":"10\/13\/2026 ValuEngine Weekly Commentary with Strategy Notes"},"content":{"rendered":"<h3><span style=\"font-size: small;\">Weekly Market Recap &#8211; Week Ending Oct 09, 2026<\/span><\/h3>\n<div>\n<p>U.S. equity markets were mixed this week, with broader gains across value, defensive, and cyclical sectors offset by weakness in technology and the NASDAQ 100. The S&amp;P 500 ETF (<strong>SPYM<\/strong>) gained 0.99%, while the NASDAQ 100 ETF (<strong>QQQM<\/strong>) declined 0.52%, pressured by a 1.86% pullback in Technology (<strong>XLK<\/strong>). Energy (<strong>XLE<\/strong>) led the ETF group with a strong 5.05% gain, followed by Consumer Staples (<strong>XLP<\/strong>), Utilities (<strong>XLU<\/strong>), Health Care (<strong>XLV<\/strong>), Financials (<strong>XLF<\/strong>), Real Estate (<strong>XLRE<\/strong>), Consumer Discretionary (<strong>XLY<\/strong>), Value (<strong>VTV<\/strong>), Materials (<strong>XLB<\/strong>), and Communication Services (<strong>XLC<\/strong>). Growth (<strong>VUG<\/strong>) posted a modest gain, while Small Caps (<strong>VB<\/strong>) and Industrials (<strong>XLI<\/strong>) were slightly lower. Stock-specific momentum remained strong in selected technology, semiconductor, health care, and biotechnology names, led by Everpure (<strong>P<\/strong>), Moderna (<strong>MRNA<\/strong>), Credo Technology (<strong>CRDO<\/strong>), Illumina (<strong>ILMN<\/strong>), ASE Technology (<strong>ASX<\/strong>), and SABESP (<strong>SBS<\/strong>).<\/p>\n<p style=\"text-align: center;\">Trade ValuEngine supported portfolio strategies, <a href=\"http:\/\/www.ValuEngineCapital.com\" target=\"_blank\" rel=\"noopener\">www.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.<\/p>\n<p>ETF 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;\">308.69<\/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;\">-0.52%<\/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;\">32.72<\/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;\">1.47%<\/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;\">90.6<\/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;\">0.99%<\/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;\">288.99<\/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;\">-0.13%<\/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;\">48.86<\/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;\">1.49%<\/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;\">110.32<\/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;\">1.10%<\/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;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">62.82<\/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;\">5.05%<\/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;\">53.49<\/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;\">2.92%<\/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;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">169.95<\/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;\">-0.36%<\/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;\">199.81<\/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;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;\">80.53<\/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;\">4.48%<\/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;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;\">40.81<\/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;\">2.47%<\/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;\">39.83<\/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;\">4.34%<\/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;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;\">166.18<\/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;\">3.23%<\/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;\">110.04<\/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;\">2.05%<\/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;VTV&quot;}\"><span style=\"color: #000000;\">VTV<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Vanguard Morningstar Value ETF&quot;}\"><span style=\"color: #000000;\">Vanguard Morningstar Value 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;\">217.23<\/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;\">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;VUG&quot;}\"><span style=\"color: #000000;\">VUG<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Vanguard Morningstar Growth ETF&quot;}\"><span style=\"color: #000000;\">Vanguard Morningstar Growth 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;\">91.17<\/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;\">0.43%<\/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;\">202.05<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">150.09<\/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;\">34.62%<\/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;SBS&quot;}\"><span style=\"color: #000000;\">SBS<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Compnh d Smt Bc d sd d S Pl - SBSP&quot;}\"><span style=\"color: #000000;\">Compnh d Smt Bc d sd d S Pl &#8211; SBSP<\/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;\">6.73<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">5.22<\/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;\">28.93%<\/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;ASX&quot;}\"><span style=\"color: #000000;\">ASX<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;ASE Technology Holding Co Ltd&quot;}\"><span style=\"color: #000000;\">ASE Technology Holding Co 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;\">47.21<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">37.08<\/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;\">27.32%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\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;\">153.63<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">93.78<\/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;\">63.82%<\/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;: 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;\">214.83<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">146.69<\/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;\">46.45%<\/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;ILMN&quot;}\"><span style=\"color: #000000;\">ILMN<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Illumina Inc&quot;}\"><span style=\"color: #000000;\">Illumina 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;\">273.96<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">208.21<\/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;\">31.58%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong>Free Trial<\/strong>: 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 style=\"font-weight: 400;\"><strong>Strategy Note :\u00a0<\/strong><\/p>\n<p style=\"font-weight: 400;\">The first full week of the fourth quarter continued the broad market\u2019s tug of war games between growth and value. After Micron Technology (MU) reported higher than expected earnings at the end of September, the first two days of October were marked by large-cap tech stock dominance in accordance with the overall 3rd Quarter of 2026 and as discussed last week.<\/p>\n<p>We look at the strategy for the remainder of 2026 in context with the following ETFs.<\/p>\n<ul>\n<li><strong>SPYM<\/strong> (State Street SPDR Portfolio S&amp;P 500 ETF): Offers ultra-low-cost, passive exposure to the 500 largest publicly traded U.S. companies spanning all major economic sectors.<\/li>\n<li><strong>QQQM<\/strong> (Invesco NASDAQ 100 ETF): Tracks the 100 largest non-financial companies listed on the Nasdaq, offering a cost-efficient vehicle heavily tilted toward technology and growth stocks.<\/li>\n<li><strong>BUFR<\/strong> (FT Vest Laddered Buffer ETF): Utilizes a laddered portfolio of options-based funds to provide U.S. large-cap equity exposure with built-in downside buffers and capped upside potential.<\/li>\n<li><strong>MDY<\/strong> (SPDR S&amp;P MidCap 400 ETF): Tracks the S&amp;P MidCap 400 Index to give investors exposure to mid-sized U.S. corporations positioned between large-caps and small-caps.<\/li>\n<li><strong>IWM<\/strong> (iShares Russell 2000 ETF): Captures the performance of 2,000 small-cap U.S. companies, making it a primary benchmark for small-business equity exposure.<\/li>\n<li><strong>VUG<\/strong> (Vanguard Growth ETF): Focuses heavily on large-cap U.S. corporations that exhibit strong growth traits, leading to significant allocations in the technology and consumer services sectors.<\/li>\n<li><strong>VTV<\/strong> (Vanguard Value ETF): Targets undervalued large-cap U.S. companies, prioritizing stocks with lower price-to-earnings ratios and higher relative dividend yields.<\/li>\n<li><strong>SCHD<\/strong> (Schwab U.S. Dividend Equity ETF): Focuses on fundamentally strong, high-yielding U.S. companies backed by a required 10-year track record of consistent dividend payouts.<\/li>\n<li><strong>VEU<\/strong> (Vanguard FTSE All-World ex-US ETF): Offers broad market capitalization exposure to developed and emerging international equity markets outside of the United States.<\/li>\n<li><strong>EEM<\/strong> (iShares MSCI Emerging Markets ETF): Focuses exclusively on large- and mid-cap equities from developing global economies, such as China, India, and Taiwan.<\/li>\n<li><strong>GLDM<\/strong> (SPDR Gold MiniShares Trust): Provides investors with low-cost, direct price exposure to physical gold bullion securely stored in secure vaults.<\/li>\n<li><strong>IBIT<\/strong> (iShares Bitcoin Trust): Enables traditional brokerage accounts to gain direct investment exposure to the spot price of Bitcoin without navigating cryptocurrency exchanges.<\/li>\n<li><strong>TLT<\/strong> (iShares 20+ Year Treasury Bond ETF): Tracks long-term U.S. Treasury bonds with remaining maturities of 20 years or more, making it highly sensitive to changes in domestic interest rates.<\/li>\n<\/ul>\n<p style=\"font-weight: 400;\">ETF Performance and Valuation Data (as of October 9, 2026)<\/p>\n<table width=\"541\">\n<tbody>\n<tr>\n<td width=\"64\"><strong>Ticker<\/strong><\/td>\n<td width=\"93\"><strong>ETF Name<\/strong><\/td>\n<td width=\"64\"><strong>VE Rating<\/strong><\/td>\n<td width=\"63\"><strong>YTD Chg<\/strong><\/td>\n<td width=\"63\"><strong>2nd-Half-to-Date<\/strong><\/td>\n<td width=\"63\"><strong>MTD Chg<\/strong><\/td>\n<td width=\"63\"><strong>Div Yield<\/strong><\/td>\n<td width=\"69\"><strong>Expense Ratio<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>SPYM<\/strong><\/td>\n<td width=\"93\">SPDR S&amp;P 500 Market<\/td>\n<td width=\"64\">4<\/td>\n<td width=\"63\">15.2%<\/td>\n<td width=\"63\">4.1%<\/td>\n<td width=\"63\">-0.4%<\/td>\n<td width=\"63\">1.3%<\/td>\n<td width=\"69\">0.09%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>QQQM<\/strong><\/td>\n<td width=\"93\">Invesco NASDAQ 100<\/td>\n<td width=\"64\"><strong>5<\/strong><\/td>\n<td width=\"63\">16.8%<\/td>\n<td width=\"63\">4.8<strong>%<\/strong><\/td>\n<td width=\"63\">-0.6%<\/td>\n<td width=\"63\">0.7%<\/td>\n<td width=\"69\">0.15%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>BUFR<\/strong><\/td>\n<td width=\"93\">FT Vest Buffer<\/td>\n<td width=\"64\">NR<\/td>\n<td width=\"63\">8.4%<\/td>\n<td width=\"63\">2.1%<\/td>\n<td width=\"63\">0.1%<\/td>\n<td width=\"63\">0.0%<\/td>\n<td width=\"69\">1.05%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>MDY<\/strong><\/td>\n<td width=\"93\">SPDR S&amp;P MidCap 400<\/td>\n<td width=\"64\">3<\/td>\n<td width=\"63\">10.1%<\/td>\n<td width=\"63\">3.2%<\/td>\n<td width=\"63\">-0.2%<\/td>\n<td width=\"63\">1.2%<\/td>\n<td width=\"69\">0.05%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>IWM<\/strong><\/td>\n<td width=\"93\">iShares Russell 2000<\/td>\n<td width=\"64\">4<\/td>\n<td width=\"63\">7.3%<\/td>\n<td width=\"63\">3.8%<\/td>\n<td width=\"63\"><strong>0.5%<\/strong><\/td>\n<td width=\"63\">1.4%<\/td>\n<td width=\"69\">0.19%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>VUG<\/strong><\/td>\n<td width=\"93\">Vanguard Growth<\/td>\n<td width=\"64\"><strong>5<\/strong><\/td>\n<td width=\"63\">19.4%<\/td>\n<td width=\"63\"><strong>5.2%<\/strong><\/td>\n<td width=\"63\">-0.7%<\/td>\n<td width=\"63\">0.5%<\/td>\n<td width=\"69\">0.04%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>VTV<\/strong><\/td>\n<td width=\"93\">Vanguard Value<\/td>\n<td width=\"64\">3<\/td>\n<td width=\"63\">11.2%<\/td>\n<td width=\"63\">3.1%<\/td>\n<td width=\"63\">-0.1%<\/td>\n<td width=\"63\">2.4%<\/td>\n<td width=\"69\">0.04%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>SCHD<\/strong><\/td>\n<td width=\"93\">Schwab US Dividend Equity<\/td>\n<td width=\"64\">2<\/td>\n<td width=\"63\"><strong>20.0%<\/strong><\/td>\n<td width=\"63\">4.0%<\/td>\n<td width=\"63\">0.2%<\/td>\n<td width=\"63\"><strong>3.2%<\/strong><\/td>\n<td width=\"69\">0.06%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>VEU<\/strong><\/td>\n<td width=\"93\">Vanguard FTSE All-World ex-US<\/td>\n<td width=\"64\">NR<\/td>\n<td width=\"63\">8.2%<\/td>\n<td width=\"63\">2.8%<\/td>\n<td width=\"63\">-0.8%<\/td>\n<td width=\"63\">2.9%<\/td>\n<td width=\"69\">0.07%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>EEM<\/strong><\/td>\n<td width=\"93\">iShares MSCI Emerging Markets<\/td>\n<td width=\"64\">NR<\/td>\n<td width=\"63\">9.5%<\/td>\n<td width=\"63\">4.2%<\/td>\n<td width=\"63\">-1.2%<\/td>\n<td width=\"63\">2.6%<\/td>\n<td width=\"69\">0.70%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>GLDM<\/strong><\/td>\n<td width=\"93\">SPDR Gold MiniShares<\/td>\n<td width=\"64\">NR<\/td>\n<td width=\"63\">-2.8%<\/td>\n<td width=\"63\">3.7%<\/td>\n<td width=\"63\">1.1%<\/td>\n<td width=\"63\">0.0%<\/td>\n<td width=\"69\">0.10%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>IBIT<\/strong><\/td>\n<td width=\"93\">iShares Bitcoin Trust<\/td>\n<td width=\"64\">NR<\/td>\n<td width=\"63\"><strong>42.5%<\/strong><\/td>\n<td width=\"63\"><strong>12.4%<\/strong><\/td>\n<td width=\"63\"><strong>3.4%<\/strong><\/td>\n<td width=\"63\">0.0%<\/td>\n<td width=\"69\">0.25%<\/td>\n<\/tr>\n<tr>\n<td width=\"64\"><strong>TLT<\/strong><\/td>\n<td width=\"93\">iShares 20+ Yr Treasury Bond<\/td>\n<td width=\"64\">NR<\/td>\n<td width=\"63\">-3.1%<\/td>\n<td width=\"63\">1.5%<\/td>\n<td width=\"63\">-0.9%<\/td>\n<td width=\"63\"><strong>3.9%<\/strong><\/td>\n<td width=\"69\">0.15%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"font-weight: 400;\">A number of insights are apparent from the table above.\u00a0 The one that stands out the most to us is that the combination of value, income and quality variables that the Schwab index formula use for <strong>SCHD<\/strong> has outperformed everything year-to-date.\u00a0 It has the highest dividend yield of any of the benchmark ETFs we follow.\u00a0 There are many equity ETFs with higher dividend yields such as <strong>DIV<\/strong> from Global X but with significant capital appreciation under-performance.\u00a0 The fact that <strong>SCHD<\/strong> \u00a0outperformed <strong>VUG<\/strong> in a year in which <strong>QQQM<\/strong> has outperformed <strong>SPYM<\/strong> so far is quite remarkable.\u00a0 In the second half, growth as measured by <strong>VUG<\/strong> has been the top performer.\u00a0 After outperforming US stocks in 2025, non-US stocks have not fared well against their US counterparts in 2026.\u00a0 Looking at alternatives, Bitcoin\u2019s proxy, <strong>IBIT<\/strong>, more than doubled the YTD performance of all our ETFs while <strong>GLDM<\/strong> (gold) has performed worse than even the beleaguered long-term US bond <strong>TLT<\/strong> when yield is factored into consideration.<\/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 style=\"font-weight: 400;\">The ValuEngine predictive model clearly is stuck on growth stocks and specifically big cap tech growth stocks.<\/p>\n<p style=\"font-weight: 400;\">Here is a similar chart for the Select Sector SPDRs, composed entirely of the stocks of S&amp;P 500 companies in that industry sector.<\/p>\n<table width=\"624\">\n<tbody>\n<tr>\n<td width=\"87\"><strong>Ticker<\/strong><\/td>\n<td width=\"107\"><strong>Sector \/ Fund Name<\/strong><\/td>\n<td width=\"64\"><strong>VE Rating<\/strong><\/td>\n<td width=\"63\"><strong>YTD Chg<\/strong><\/td>\n<td width=\"63\"><strong>2nd-Half-to-Date<\/strong><\/td>\n<td width=\"61\"><strong>MTD Chg<\/strong><\/td>\n<td width=\"53\"><strong>Forward P\/E<\/strong><\/td>\n<td width=\"61\"><strong>Div Yield<\/strong><\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLB<\/strong><\/td>\n<td width=\"107\">Materials Select Sector<\/td>\n<td width=\"64\">1<\/td>\n<td width=\"63\">9.04%<\/td>\n<td width=\"63\">-3.02%<\/td>\n<td width=\"61\">1.01%<\/td>\n<td width=\"53\">17.8<\/td>\n<td width=\"61\">1.95%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLC<\/strong><\/td>\n<td width=\"107\">Communication Services Select<\/td>\n<td width=\"64\">2<\/td>\n<td width=\"63\">-6.02%<\/td>\n<td width=\"63\">3.01%<\/td>\n<td width=\"61\">-1.02%<\/td>\n<td width=\"53\">18.4<\/td>\n<td width=\"61\">1.15%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLE<\/strong><\/td>\n<td width=\"107\">Energy Select Sector<\/td>\n<td width=\"64\">3<\/td>\n<td width=\"63\"><strong>46.03%<\/strong><\/td>\n<td width=\"63\"><strong>23.04%<\/strong><\/td>\n<td width=\"61\"><strong>6.02%<\/strong><\/td>\n<td width=\"53\"><strong>12.1<\/strong><\/td>\n<td width=\"61\"><strong>3.41%<\/strong><\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLF<\/strong><\/td>\n<td width=\"107\">Financials Select Sector<\/td>\n<td width=\"64\">2<\/td>\n<td width=\"63\">0.02%<\/td>\n<td width=\"63\">2.01%<\/td>\n<td width=\"61\">2.03%<\/td>\n<td width=\"53\">15.1<\/td>\n<td width=\"61\">1.84%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLI<\/strong><\/td>\n<td width=\"107\">Industrials Select Sector<\/td>\n<td width=\"64\">3<\/td>\n<td width=\"63\">9.03%<\/td>\n<td width=\"63\">-0.92%<\/td>\n<td width=\"61\">1.03%<\/td>\n<td width=\"53\">19.5<\/td>\n<td width=\"61\">1.62%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLK<\/strong><\/td>\n<td width=\"107\">Technology Select Sector<\/td>\n<td width=\"64\"><strong>5<\/strong><\/td>\n<td width=\"63\">38.01%<\/td>\n<td width=\"63\">4.02%<\/td>\n<td width=\"61\">2.01%<\/td>\n<td width=\"53\">28.5<\/td>\n<td width=\"61\">0.65%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLP<\/strong><\/td>\n<td width=\"107\">Consumer Staples Select Sector<\/td>\n<td width=\"64\">1<\/td>\n<td width=\"63\">7.03%<\/td>\n<td width=\"63\">0.01%<\/td>\n<td width=\"61\">4.02%<\/td>\n<td width=\"53\">20.2<\/td>\n<td width=\"61\">2.70%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLRE<\/strong><\/td>\n<td width=\"107\">Real Estate Select Sector<\/td>\n<td width=\"64\">1<\/td>\n<td width=\"63\">3.02%<\/td>\n<td width=\"63\">-5.01%<\/td>\n<td width=\"61\">2.02%<\/td>\n<td width=\"53\">32.4<\/td>\n<td width=\"61\">3.12%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLU<\/strong><\/td>\n<td width=\"107\">Utilities Select Sector<\/td>\n<td width=\"64\">1<\/td>\n<td width=\"63\">-3.01%<\/td>\n<td width=\"63\">-9.03%<\/td>\n<td width=\"61\">5.01%<\/td>\n<td width=\"53\">16.2<\/td>\n<td width=\"61\">3.35%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLV<\/strong><\/td>\n<td width=\"107\">Health Care Select Sector<\/td>\n<td width=\"64\">2<\/td>\n<td width=\"63\">10.02%<\/td>\n<td width=\"63\">8.03%<\/td>\n<td width=\"61\">1.02%<\/td>\n<td width=\"53\">17.9<\/td>\n<td width=\"61\">1.58%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>XLY<\/strong><\/td>\n<td width=\"107\">Consumer Discretionary Select<\/td>\n<td width=\"64\">1<\/td>\n<td width=\"63\">-5.01%<\/td>\n<td width=\"63\">-4.02%<\/td>\n<td width=\"61\">4.01%<\/td>\n<td width=\"53\">23.1<\/td>\n<td width=\"61\">0.88%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>SPY<\/strong><\/td>\n<td width=\"107\">SPDR S&amp;P 500 ETF Trust<\/td>\n<td width=\"64\">4<\/td>\n<td width=\"63\">14.02%<\/td>\n<td width=\"63\">4.03%<\/td>\n<td width=\"61\">2.01%<\/td>\n<td width=\"53\">21.5<\/td>\n<td width=\"61\">1.32%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>QQQ<\/strong><\/td>\n<td width=\"107\">Invesco QQQ Trust (Nasdaq 100)<\/td>\n<td width=\"64\"><strong>5<\/strong><\/td>\n<td width=\"63\">22.04%<\/td>\n<td width=\"63\">2.02%<\/td>\n<td width=\"61\">2.02%<\/td>\n<td width=\"53\">26.4<\/td>\n<td width=\"61\">0.68%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>BUFR<\/strong><\/td>\n<td width=\"107\">FT Vest Buffer ETF<\/td>\n<td width=\"64\">NR<\/td>\n<td width=\"63\">11.02%<\/td>\n<td width=\"63\">4.01%<\/td>\n<td width=\"61\">1.02%<\/td>\n<td width=\"53\">18.2<\/td>\n<td width=\"61\">0.00%<\/td>\n<td width=\"64\"><\/td>\n<\/tr>\n<tr>\n<td width=\"87\"><strong>VTV<\/strong><\/td>\n<td width=\"107\">Vanguard Value ETF<\/td>\n<td width=\"64\">3<\/td>\n<td width=\"63\">15.03%<\/td>\n<td width=\"63\">1.02%<\/td>\n<td width=\"61\">2.03%<\/td>\n<td width=\"53\">15.4<\/td>\n<td width=\"61\">2.35%<\/td>\n<td width=\"64\"><\/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>However, between October 5th and October 9th, the broader market experienced mild consolidation following mixed macroeconomic news while the Energy sector \u2013 as measured by StateStreet Select Sector SPDR Energy (<strong>XLE<\/strong>) &#8211; dramatically outperformed all other sectors. The defensive sector Consumer Staples \u2013 as measured by StateStreet Select Sector SPDR Staples (<strong>XLP<\/strong>) &#8211; also experienced a healthy rebound. Regarding <strong>XLP<\/strong>, many strategists have predicted for more than a year that this sector ETF filled with high quality and low-debt stocks would rebound strongly. On the contrary, during all that time until the 4th quarter, the reverse has been true. These stocks were used as sources of funds for AI-related stocks as earnings for big-cap tech continued to exceed expectations. On a 5-year basis, <strong>XLP<\/strong> has been the worst performing of the 11 GICS (Global Industry Classification Standard) industry sectors even though most analysts consider stocks in this industry to be undervalued. The table below illustrates that on a forward P\/E basis, it is the fourth most overvalued sector.<\/p>\n<p>Somewhat surprisingly, our rating on the Energy Select Sector SPDR <strong>XLE<\/strong> actually fell from 4 (Buy) to 3 (Hold \/ Neutral) despite the great week. Or possibly, it is because of the rise. An elevated stock price could negatively impact <strong>XLE<\/strong>\u2019s price growth potential. That said, the utter dominance recently by the energy and tech sectors is worth noting.<\/p>\n<div class=\"entry-content\">\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<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Weekly Market Recap &#8211; Week Ending Oct 09, 2026 U.S. equity markets were mixed this week, with broader gains across value, defensive, and cyclical sectors offset by weakness in technology and the NASDAQ 100. The S&amp;P 500 ETF (SPYM) gained 0.99%, while the NASDAQ 100 ETF (QQQM) declined 0.52%, pressured by a 1.86% pullback in &#8230; <a title=\"10\/13\/2026 ValuEngine Weekly Commentary with Strategy Notes\" class=\"read-more\" href=\"http:\/\/blog.valuengine.com\/index.php\/10-13-2026-valuengine-weekly-commentary\/\" aria-label=\"More on 10\/13\/2026 ValuEngine Weekly Commentary with 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":[2780,2781,3351,2500,2515,2720,2971,1760,1719,1776,1731,2316,3440,3441,1834,2897,1833,2994,2995,678,3349,2006,1689,2011,1510,1911,987,3442,1748,1478,2758,1818,2801,3425,28,1656,63,2356,2978,2462,2403,2121,2085,2277,1849,2279,1887,1814,2707,1900,2276,2278],"class_list":["post-4075","post","type-post","status-publish","format-standard","hentry","category-dailly-bulletin","category-news","category-weekly-newsletter","tag-asx","tag-asx-b-n","tag-bufr","tag-crdo","tag-crdo-q","tag-eem","tag-etf-models","tag-etf-ratings","tag-etf-research","tag-gldm","tag-herb-blank","tag-ibit","tag-ilmn","tag-ilmn-q","tag-iwm","tag-market-performance","tag-mdy","tag-mrna","tag-mrna-q","tag-p","tag-p-b-n","tag-qqqm","tag-quant","tag-quant-models","tag-quantitative","tag-quantitative-models","tag-sbs","tag-sbs-b-n","tag-schd","tag-sector","tag-sector-performance","tag-sector-research","tag-spym","tag-tlt","tag-valuengine","tag-valuengine-blog","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\/4075","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=4075"}],"version-history":[{"count":5,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4075\/revisions"}],"predecessor-version":[{"id":4080,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4075\/revisions\/4080"}],"wp:attachment":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/media?parent=4075"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/categories?post=4075"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/tags?post=4075"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}