{"id":4111,"date":"2026-11-09T18:16:58","date_gmt":"2026-11-09T18:16:58","guid":{"rendered":"http:\/\/blog.valuengine.com\/?p=4111"},"modified":"2026-11-09T18:20:46","modified_gmt":"2026-11-09T18:20:46","slug":"11-09-2026-valuengine-weekly-market-commentary-with-outlook-for-the-remainder-of-2026","status":"publish","type":"post","link":"http:\/\/blog.valuengine.com\/index.php\/11-09-2026-valuengine-weekly-market-commentary-with-outlook-for-the-remainder-of-2026\/","title":{"rendered":"11\/09\/2026 ValuEngine Weekly Market Commentary with Outlook for the Remainder of 2026"},"content":{"rendered":"<p><strong>Weekly Market Recap &#8211; Week Ending Nov 06, 2026<\/strong><\/p>\n<p>U.S. equity markets faced broad selling pressure this week, with sharp declines in technology, energy, and growth-oriented sectors weighing on the major benchmarks. The NASDAQ 100 ETF (<strong>QQQM<\/strong>) fell 4.97%, while the S&amp;P 500 ETF (<strong>SPYM<\/strong>) declined 2.69%, led by steep losses in Energy (<strong>XLE<\/strong>), which plunged 12.00%, and Technology (<strong>XLK<\/strong>), which dropped 8.23%. Growth (<strong>VUG<\/strong>), Industrials (<strong>XLI<\/strong>), Materials (<strong>XLB<\/strong>), and Small Caps (<strong>VB<\/strong>) also moved lower, reflecting weakness across several market segments. In contrast, Communication Services (<strong>XLC<\/strong>) gained 4.89%, while Real Estate (<strong>XLRE<\/strong>), Consumer Discretionary (<strong>XLY<\/strong>), Financials (<strong>XLF<\/strong>), and Consumer Staples (<strong>XLP<\/strong>) posted gains, highlighting pockets of resilience amid the broader selloff. Despite market volatility, select stocks maintained strong 30-day momentum, led by AppLovin (<strong>APP<\/strong>), Genmab (<strong>GMAB<\/strong>), UCB (<strong>UCBJY<\/strong>), Bayer (<strong>BAYRY<\/strong>), Carvana (<strong>CVNA<\/strong>), and Moderna (<strong>MRNA<\/strong>), reflecting continued strength in digital advertising, biotechnology, pharmaceuticals, and selected consumer-related businesses.<\/p>\n<p style=\"text-align: center;\"><strong>Trade ValuEngine supported portfolio strategies, <a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\">www.ValuEngineCapital.com<\/a><\/strong><\/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\/Sector weekly 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;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">284.34<\/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;\">-4.97%<\/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;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">35.78<\/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;\">-1.70%<\/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;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;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">88.95<\/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;\">-2.69%<\/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;\">290.05<\/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;\">-1.52%<\/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;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;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">52.74<\/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;\">-1.50%<\/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;\">99.9<\/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;\">4.89%<\/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;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;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">70.02<\/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;\">-12.00%<\/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;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">56.51<\/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;\">1.15%<\/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;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">167.4<\/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;\">-2.83%<\/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;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">179.51<\/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;\">-8.23%<\/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;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;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">89.42<\/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;\">0.74%<\/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;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">43.17<\/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;\">1.92%<\/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;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;\">43.43<\/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;\">-0.69%<\/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;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">184.87<\/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;\">-0.04%<\/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;\">115.38<\/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;\">1.91%<\/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;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">228.02<\/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;\">-2.20%<\/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;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">85.06<\/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;\">-3.40%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong>Free Trial: Direct Access to ValuEngine Research on over 5,200 stocks and 750 ETFs <\/strong><a href=\"https:\/\/ww2.valuengine.com\/products-and-pricing\/\" target=\"_blank\" rel=\"noopener\"><strong>HERE<\/strong><br \/>\n<\/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=\"230\"><\/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;GMAB&quot;}\"><span style=\"color: #000000;\">GMAB<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Genmab A\\\/S - ADR&quot;}\"><span style=\"color: #000000;\">Genmab A\/S &#8211; ADR<\/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;\">53.63<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">37.37<\/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;\">43.51%<\/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;UCBJY&quot;}\"><span style=\"color: #000000;\">UCBJY<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;UCB Unsponsored Belgium ADR&quot;}\"><span style=\"color: #000000;\">UCB Unsponsored Belgium 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;\">161.88<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">113.96<\/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;\">42.05%<\/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;BAYRY&quot;}\"><span style=\"color: #000000;\">BAYRY<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Bayer AG&quot;}\"><span style=\"color: #000000;\">Bayer AG<\/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;\">15.33<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">12.21<\/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;\">25.55%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"230\"><\/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;APP&quot;}\"><span style=\"color: #000000;\">APP<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Applovin Corp&quot;}\"><span style=\"color: #000000;\">Applovin 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;\">391.22<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">270.87<\/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;\">44.43%<\/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;CVNA&quot;}\"><span style=\"color: #000000;\">CVNA<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Carvana Co&quot;}\"><span style=\"color: #000000;\">Carvana Co<\/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;\">73.57<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">59.51<\/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;\">23.63%<\/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;\">254.19<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">213.74<\/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;\">18.92%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"font-weight: 400;\"><strong>Strategy Note :\u00a0<\/strong>Outlook for the Remainder of 2026 in the Wake of Midterm Election Results<\/p>\n<p style=\"font-weight: 400;\">If we thought tech has become undervalued two weeks ago and doubled down last week, we like them even more this week since there are 3 new undervalued stocks in the StateStreet Select Sector Technology ETF (<strong>XLK<\/strong>).\u00a0 Overall, we found two Technology stocks that were ranked 5 (Strong buy) and rated in the most undervalued 25% of the ValuEngine universe with at least a 2% yield. \u00a0 They are Lenovo Group (<strong>LNVGY<\/strong>) and Tower Semiconductor (<strong>TSEM<\/strong>).\u00a0 While ranked lower 4 (Strong Buy), Match Corp. (<strong>MTCH<\/strong>), the dating app provider, also has a 2.1% yield and is rated 35% undervalued by our valuation model at its current $39 share price.<\/p>\n<p style=\"font-weight: 400;\">With the dust is still settling on last week\u2019s midterm elections, some new realities face investors in weighing year end decisions. Market focus is rapidly shifting from campaign rhetoric to practical governance, starting with the tech and infrastructure landscapes. Congress may run the show on high-profile hearings regarding data centers and artificial intelligence infrastructure, but most actual and binding regulation will ultimately have to take place at the state level. While it is true that many states elected new Democratic governors who campaigned on stricter oversight, many of them do not have Democratic majorities in both state houses, which may make passing new anti-data-center legislation far more difficult than they originally promised voters.<\/p>\n<p style=\"font-weight: 400;\">Historically, this post-election policy sorting matches a highly favorable seasonal backdrop. Since 1976, and stretching back even further, November has historically ranked as the #1 best-performing month of the year for the S&amp;P 500, averaging a return of roughly 1.6% to 1.8% and acting as a robust historical launchpad for year end rallies.<\/p>\n<p style=\"font-weight: 400;\">As we look to the remaining weeks of the year, corporate earnings yet to be reported will take center stage in defining the market&#8217;s true trajectory. Ben Graham famously reminded investors that in the short run, the market is a voting machine\u2014weighing sentiment, political swings, and narrative\u2014but in the long run, it is a weighing machine driven by actual fundamental value. While geopolitical tensions and macroeconomic data points like interest rates and inflation heavily influence the daily &#8220;voting&#8221;, the &#8220;weighing&#8221; of corporate earnings remains the structural anchor.<\/p>\n<p style=\"font-weight: 400;\">For the current calendar quarter, the vast majority of the heavy lifting is already behind us; following the peak weeks of the season, only 12% of S&amp;P 500 companies still need to report, meaning 88% of the index&#8217;s third-quarter scorecard is already set in stone. Historically, the last two calendar months of the year generally act to smooth volatility rather than raising it, as seasonal institutional window-dressing, holiday retail data, and corporate buyback programs tend to ground trading volumes and stabilize price action. Alongside the final corporate reports, analysts heading into next week will be heavily focused on upcoming inflation indicators (CPI\/PPI data), Federal Reserve speaker commentary for cues on December policy, and early guidance revisions for Q4 and full-year 2027.<\/p>\n<p style=\"font-weight: 400;\">The new congressional reality also forces a structural re-evaluation of market style and capitalization. With Democrats about to assume narrow control of both houses of Congress against a sitting Republican president, the resulting legislative gridlock alters the playbook for smaller companies. While a unified opposition Congress traditionally introduces a policy stalemate that prevents major tax hikes or sweeping regulatory overhauls, it typically creates an environment that favors large-cap growth over small-cap and mid-cap stocks, as smaller domestic companies remain more sensitive to sticky macroeconomic data and high financing costs. For style factors, this gridlock environment tends to give a slight relative edge to Growth over Value, as large tech and growth firms rely less on aggressive legislative help and benefit cleanly from the status quo.<\/p>\n<p style=\"font-weight: 400;\">Historically, when one party controls both houses of Congress but lacks a veto-proof two-thirds majority under an opposing president, it signals a period of defensive compromise. Over the past 50 years, this exact dynamic\u2014a divided government featuring an opposition-controlled House and Senate\u2014has occurred during several key congressional sessions (notably during the Clinton, Bush, Obama, and Trump administrations). Out of these occurrences, the lack of a veto-proof majority meant that hundreds of opposition bills were stifled before reaching the desk, while fewer than 120 total presidential vetoes were actually issued across the last 50 years, with Congress successfully overriding them in less than 10% of cases. Finally, for biotech stocks, this setup is broadly viewed as good news. Because the Democrats lack the super majorities required to override a presidential veto, aggressive drug-pricing regulations or sweeping healthcare overhauls are effectively dead on arrival, leaving the biotech sector to trade on its own fundamental clinical trial pipelines and M&amp;A activity rather than political risk.\u00a0 The broader health care sector might be more dicey as one piece of legislation Democrats have discussed prioritizing would be measures to reign in price increases and profit margins on prescription drugs.\u00a0 This could hurt the larger cap health care companies such as Johnson &amp; Johnson (JNJ) and Merck (MRK).\u00a0 Our ratings disagree with the fears as both are rated 4 (Buy).<\/p>\n<p style=\"font-weight: 400;\">Speaking of sectors, take a look at our latest update of the sector year-to-date numbers.<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"103\"><strong>Sector \/ Index<\/strong><\/td>\n<td width=\"61\"><strong>Ticker<\/strong><\/td>\n<td width=\"61\"><strong>VE Rating<\/strong><\/td>\n<td width=\"63\"><strong>Quarter-to-Date Price Change<\/strong><\/td>\n<td width=\"62\"><strong>Year-to-Date Price Change<\/strong><\/td>\n<td width=\"63\"><strong>Forward P\/E<\/strong><\/td>\n<td width=\"63\"><strong>Dividend Yield<\/strong><\/td>\n<td width=\"67\">Annualized 5-Yr Return<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Materials<\/strong><\/td>\n<td width=\"61\">XLB<\/td>\n<td width=\"61\">2<\/td>\n<td width=\"63\">1.45%<\/td>\n<td width=\"62\">12.80%<\/td>\n<td width=\"63\">16.7<\/td>\n<td width=\"63\">1.9%<\/td>\n<td width=\"67\">5.91%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Communication Services<\/strong><\/td>\n<td width=\"61\">XLC<\/td>\n<td width=\"61\">1<\/td>\n<td width=\"63\">-1.15%<\/td>\n<td width=\"62\">-13.30%<\/td>\n<td width=\"63\">13.0<\/td>\n<td width=\"63\">1.5%<\/td>\n<td width=\"67\">10.25%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Energy<\/strong><\/td>\n<td width=\"61\">XLE<\/td>\n<td width=\"61\"><strong>5<\/strong><\/td>\n<td width=\"63\">-3.55%<\/td>\n<td width=\"62\"><strong>40.55%<\/strong><\/td>\n<td width=\"63\"><strong>12.2<\/strong><\/td>\n<td width=\"63\"><strong>3.5%<\/strong><\/td>\n<td width=\"67\">10.61%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Financials<\/strong><\/td>\n<td width=\"61\">XLF<\/td>\n<td width=\"61\">3<\/td>\n<td width=\"63\">1.84%<\/td>\n<td width=\"62\">9.00%<\/td>\n<td width=\"63\">15.7<\/td>\n<td width=\"63\">1.6%<\/td>\n<td width=\"67\">11.31%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Industrials<\/strong><\/td>\n<td width=\"61\">XLI<\/td>\n<td width=\"61\">2<\/td>\n<td width=\"63\">-1.25%<\/td>\n<td width=\"62\">24.30%<\/td>\n<td width=\"63\">21.9<\/td>\n<td width=\"63\">1.3%<\/td>\n<td width=\"67\">11.79%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Technology<\/strong><\/td>\n<td width=\"61\">XLK<\/td>\n<td width=\"61\"><strong>5<\/strong><\/td>\n<td width=\"63\">-2.10%<\/td>\n<td width=\"62\">23.04%<\/td>\n<td width=\"63\">28.6<\/td>\n<td width=\"63\">0.7%<\/td>\n<td width=\"67\"><strong>18.51%<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Consumer Staples<\/strong><\/td>\n<td width=\"61\">XLP<\/td>\n<td width=\"61\">2<\/td>\n<td width=\"63\">0.42%<\/td>\n<td width=\"62\">15.50%<\/td>\n<td width=\"63\">18.4<\/td>\n<td width=\"63\">2.8%<\/td>\n<td width=\"67\">9.87%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Real Estate<\/strong><\/td>\n<td width=\"61\">XLRE<\/td>\n<td width=\"61\">1<\/td>\n<td width=\"63\"><strong>3.25%<\/strong><\/td>\n<td width=\"62\">9.71%<\/td>\n<td width=\"63\">31.8<\/td>\n<td width=\"63\"><strong>3.5%<\/strong><\/td>\n<td width=\"67\">7.59%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Utilities<\/strong><\/td>\n<td width=\"61\">XLU<\/td>\n<td width=\"61\">1<\/td>\n<td width=\"63\">-1.82%<\/td>\n<td width=\"62\">1.03%<\/td>\n<td width=\"63\">16.8<\/td>\n<td width=\"63\">3.1%<\/td>\n<td width=\"67\">9.99%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Health Care<\/strong><\/td>\n<td width=\"61\">XLV<\/td>\n<td width=\"61\">3<\/td>\n<td width=\"63\">-0.92%<\/td>\n<td width=\"62\">20.35%<\/td>\n<td width=\"63\">18.4<\/td>\n<td width=\"63\">1.4%<\/td>\n<td width=\"67\">11.59%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Consumer Discretionary<\/strong><\/td>\n<td width=\"61\">XLY<\/td>\n<td width=\"61\">1<\/td>\n<td width=\"63\">0.12%<\/td>\n<td width=\"62\">-0.87%<\/td>\n<td width=\"63\">24.1<\/td>\n<td width=\"63\">0.9%<\/td>\n<td width=\"67\">12.04%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>S&amp;P 500 Index<\/strong><\/td>\n<td width=\"61\">SPYM<\/td>\n<td width=\"61\">3<\/td>\n<td width=\"63\">-0.54%<\/td>\n<td width=\"62\">21.45%<\/td>\n<td width=\"63\">22.8<\/td>\n<td width=\"63\">1.3%<\/td>\n<td width=\"67\">10.99%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>US Dividend Equity<\/strong><\/td>\n<td width=\"61\">SCHD<\/td>\n<td width=\"61\">4<\/td>\n<td width=\"63\">0.65%<\/td>\n<td width=\"62\">14.20%<\/td>\n<td width=\"63\">15.1<\/td>\n<td width=\"63\">3.0%<\/td>\n<td width=\"67\">11.15%<\/td>\n<\/tr>\n<tr>\n<td width=\"103\"><strong>Nasdaq 100 Index<\/strong><\/td>\n<td width=\"61\">QQQM<\/td>\n<td width=\"61\">5<\/td>\n<td width=\"63\">-1.88%<\/td>\n<td width=\"62\">22.15%<\/td>\n<td width=\"63\">27.7<\/td>\n<td width=\"63\">0.6%<\/td>\n<td width=\"67\">13.08%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong>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><\/strong><\/p>\n<p style=\"font-weight: 400;\">There have been a few changes in ValuEngine forecast rating worthy of mention.\u00a0 First is that <strong>SPYM<\/strong>, the ETF owning the S&amp;P 500, has the lowest expense ratio.\u00a0 It had been rated 4 (Buy) during the entire second half of the year.\u00a0 Now, it has reverted to its normal state rating of 3 (Hold or Neutral).\u00a0 This indicates that its concentration in large cap stocks is no longer as attractive to our forecast model than it had been.\u00a0 On the other side of the ledger, StateStreet Select Sector SPDR Consumer Staples (<strong>XLP<\/strong>), while still below average with its 2 (sell) as its rating, has improved from its previous 1 rating (Strong Sell).\u00a0 Target (<strong>TGT<\/strong>) is the highest rated Buy stock in the sector from a forecast price appreciation perspective.<\/p>\n<p style=\"font-weight: 400;\">From an asset allocation perspective, rotations from growth to value continue in the 4th quarter as shown in this updated matrix table of different asset class index ETFs.<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"69\">Asset Class \/ Strategy<\/td>\n<td width=\"63\"><strong>Ticker<\/strong><\/td>\n<td width=\"63\"><strong>VE Rating<\/strong><\/td>\n<td width=\"63\"><strong>QTD Price<\/strong><\/td>\n<td width=\"63\"><strong>YTD Total Return<\/strong><\/td>\n<td width=\"63\"><strong>5-Yr Ann. Total Return<\/strong><\/td>\n<td width=\"64\">Dividend Yield<\/td>\n<td width=\"64\"><strong>Ann. Volatility<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"69\">SPDR S&amp;P 500 Large Cap<\/td>\n<td width=\"63\"><strong>SPYM<\/strong><\/td>\n<td width=\"63\">3<\/td>\n<td width=\"63\">-0.54%<\/td>\n<td width=\"63\">22.81%<\/td>\n<td width=\"63\">12.35%<\/td>\n<td width=\"64\">1.3%<\/td>\n<td width=\"64\">14.50%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">Invesco Nasdaq 100 Growth<\/td>\n<td width=\"63\"><strong>QQQM<\/strong><\/td>\n<td width=\"63\"><strong>5<\/strong><\/td>\n<td width=\"63\">-1.88%<\/td>\n<td width=\"63\">22.78%<\/td>\n<td width=\"63\">13.72%<\/td>\n<td width=\"64\">0.6%<\/td>\n<td width=\"64\">20.40%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">Vanguard Russell 2000 Small Cap<\/td>\n<td width=\"63\"><strong>VTWO<\/strong><\/td>\n<td width=\"63\">3<\/td>\n<td width=\"63\">1.12%<\/td>\n<td width=\"63\">7.55%<\/td>\n<td width=\"63\">3.52%<\/td>\n<td width=\"64\">1.4%<\/td>\n<td width=\"64\">21.20%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">SPDR S&amp;P MidCap 400<\/td>\n<td width=\"63\"><strong>SPMD<\/strong><\/td>\n<td width=\"63\">3<\/td>\n<td width=\"63\">0.45%<\/td>\n<td width=\"63\">13.24%<\/td>\n<td width=\"63\">8.40%<\/td>\n<td width=\"64\">1.6%<\/td>\n<td width=\"64\">17.60%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">Vanguard S&amp;P 500 Value<\/td>\n<td width=\"63\"><strong>VTV<\/strong><\/td>\n<td width=\"63\">3<\/td>\n<td width=\"63\">0.22%<\/td>\n<td width=\"63\">16.25%<\/td>\n<td width=\"63\">10.74%<\/td>\n<td width=\"64\">2.3%<\/td>\n<td width=\"64\">12.90%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">Vanguard S&amp;P 500 Growth<\/td>\n<td width=\"63\"><strong>VUG<\/strong><\/td>\n<td width=\"63\">3<\/td>\n<td width=\"63\">-1.15%<\/td>\n<td width=\"63\">26.80%<\/td>\n<td width=\"63\">13.44%<\/td>\n<td width=\"64\">0.5%<\/td>\n<td width=\"64\">18.80%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">Schwab US Dividend Equity<\/td>\n<td width=\"63\"><strong>SCHD<\/strong><\/td>\n<td width=\"63\">2<\/td>\n<td width=\"63\">0.65%<\/td>\n<td width=\"63\">17.22%<\/td>\n<td width=\"63\">14.30%<\/td>\n<td width=\"64\">3.0%<\/td>\n<td width=\"64\">12.60%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">Vanguard FTSE Developed ex-US<\/td>\n<td width=\"63\"><strong>VEU<\/strong><\/td>\n<td width=\"63\">Not Rated<\/td>\n<td width=\"63\">-2.10%<\/td>\n<td width=\"63\">8.33%<\/td>\n<td width=\"63\">7.18%<\/td>\n<td width=\"64\">3.1%<\/td>\n<td width=\"64\">13.90%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">iShares Core Emerging Markets<\/td>\n<td width=\"63\"><strong>IEMG<\/strong><\/td>\n<td width=\"63\">Not Rated<\/td>\n<td width=\"63\">-3.05%<\/td>\n<td width=\"63\">9.82%<\/td>\n<td width=\"63\">4.61%<\/td>\n<td width=\"64\">2.8%<\/td>\n<td width=\"64\">16.40%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">SPDR Gold MiniShares<\/td>\n<td width=\"63\"><strong>GLDM<\/strong><\/td>\n<td width=\"63\">Not Rated<\/td>\n<td width=\"63\">-2.00%<\/td>\n<td width=\"63\">-6.22%<\/td>\n<td width=\"63\"><strong>17.21%<\/strong><\/td>\n<td width=\"64\">0.0%<\/td>\n<td width=\"64\">14.80%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">FT Vest Buffered Outcomes (Oct)<\/td>\n<td width=\"63\"><strong>BUFR<\/strong><\/td>\n<td width=\"63\">Not Rated<\/td>\n<td width=\"63\">-0.28%<\/td>\n<td width=\"63\">12.50%<\/td>\n<td width=\"63\">7.20%<\/td>\n<td width=\"64\">0.0%<\/td>\n<td width=\"64\">9.80%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">Morgan Stanley MSCI Business Tech<\/td>\n<td width=\"63\"><strong>MSBT<\/strong><\/td>\n<td width=\"63\">Not Rated<\/td>\n<td width=\"63\">-2.45%<\/td>\n<td width=\"63\">29.38%<\/td>\n<td width=\"63\">14.50%<\/td>\n<td width=\"64\">0.3%<\/td>\n<td width=\"64\">23.40%<\/td>\n<\/tr>\n<tr>\n<td width=\"69\">SPDR FTSE Long-Term Treasury<\/td>\n<td width=\"63\"><strong>SPTL<\/strong><\/td>\n<td width=\"63\">Not Rated<\/td>\n<td width=\"63\">-1.40%<\/td>\n<td width=\"63\">-0.41%<\/td>\n<td width=\"63\">-1.48%<\/td>\n<td width=\"64\">3.9%<\/td>\n<td width=\"64\">15.20%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong>Free Trial: Direct Access to ValuEngine Research on over 5,200 stocks and 750 ETFs <\/strong><a href=\"https:\/\/ww2.valuengine.com\/products-and-pricing\/\" target=\"_blank\" rel=\"noopener\"><strong>HERE<\/strong><br \/>\n<\/a><\/p>\n<p style=\"font-weight: 400;\">There are quite a few ValuEngine rating changes here.\u00a0 The biggest change is with Vanguard Growth ETF (<strong>VUG<\/strong>) falling from 5 to 3. Meanwhile, its complement at Vanguard on the value side (<strong>VTV<\/strong>) has risen from a 2 (Sell) to 3 (Hold).\u00a0 We already mentioned that the S&amp;P 500 ETF, <strong>SPYM<\/strong>, had fallen to 3.\u00a0 Another change is that the SPDR S&amp;P 400 MidCap ETF (<strong>SPMD<\/strong>) has been upgraded to 3 (Hold) after more than a year at 2 (Sell).\u00a0 At least so far, <strong>QQQM<\/strong> is hanging in there with our best rating of 5.\u00a0 While we remain optimistic about the market\u2019s direction for the rest of November, we note that 3-year volatility is up at least 0.1% just from last week for all but 2 of these benchmark index ETFs.\u00a0 That is rare as it generally takes more than high volatility in one week to change a standard deviation number calculated for a 156-week period.<\/p>\n<p style=\"font-weight: 400;\">One theme that we like to be persistent on is ETF expense ratios.\u00a0 We use a number of ETFs in our measurement tables this season that are not the most frequently traded in their asset class. This is because buy-and-hold investors are generally not going to have much impact trading ETFs of this type but will be hurt by compounded fees over time than institutional traders, especially if they are buy-and-hold investors.\u00a0 Therefore, in lieu of the more popular <strong>SPY<\/strong>, <strong>QQQ<\/strong>, <strong>IWM<\/strong>, <strong>MDY<\/strong>, <strong>EEM<\/strong>, <strong>GLD<\/strong>, <strong>IBIT<\/strong> and <strong>TLT<\/strong>, we track <strong>SPYM<\/strong>, <strong>QQQM<\/strong>, <strong>VTWO<\/strong>, <strong>SPMD<\/strong>, <strong>IEMG<\/strong>, <strong>GLD<\/strong> (most important to substitute with 10 basis point Expense Ratio vs. a 40 basis point Expense Ratio for owning the same amount of bullion), <strong>MSBT<\/strong> and <strong>SPTL<\/strong>.\u00a0 We do not think investors should pay higher expenses for more popular ETFs because they didn\u2019t know less expensive alternatives were available. We hope that investment advisors explain that to their retail clients and since sometimes education runs in the opposite direction, investors who read this should show this to their advisors.\u00a0 Over time, the fees mount up.\u00a0 In a market environment that most strategists are warning will not be as lucrative in the next 10 years as it was in the past 10 years, it makes sense not to further dissipate future returns by paying more.<\/p>\n<p style=\"text-align: center;\"><strong>Trade ValuEngine supported portfolio strategies, <a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\">www.ValuEngineCapital.com<\/a><\/strong><\/p>\n<p>&nbsp;<\/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>support@ValuEngine.com<\/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\" target=\"_blank\" rel=\"noopener\">Blog.ValuEngine.com<\/a> for all current and historical articles<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Weekly Market Recap &#8211; Week Ending Nov 06, 2026 U.S. equity markets faced broad selling pressure this week, with sharp declines in technology, energy, and growth-oriented sectors weighing on the major benchmarks. The NASDAQ 100 ETF (QQQM) fell 4.97%, while the S&amp;P 500 ETF (SPYM) declined 2.69%, led by steep losses in Energy (XLE), which &#8230; <a title=\"11\/09\/2026 ValuEngine Weekly Market Commentary with Outlook for the Remainder of 2026\" class=\"read-more\" href=\"http:\/\/blog.valuengine.com\/index.php\/11-09-2026-valuengine-weekly-market-commentary-with-outlook-for-the-remainder-of-2026\/\" aria-label=\"More on 11\/09\/2026 ValuEngine Weekly Market Commentary with Outlook for the Remainder of 2026\">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":[3476,3475,3351,1356,2720,2971,2238,1760,1761,1719,1880,1776,3465,1731,2316,3463,1834,3224,2897,1819,1833,2994,3464,3477,1617,2006,1689,2011,1510,1911,1748,2758,1818,3462,1999,1726,2801,3425,1074,3456,28,1656,1659,63,2356,2978,2462,1998,2403,2121,2085,2277,1849,2279,1887,1814,2707,1900,2276,2278],"class_list":["post-4111","post","type-post","status-publish","format-standard","hentry","category-dailly-bulletin","category-news","category-weekly-newsletter","tag-app","tag-baryry","tag-bufr","tag-cvna","tag-eem","tag-etf-models","tag-etf-performance","tag-etf-ratings","tag-etf-recommendations","tag-etf-research","tag-gld","tag-gldm","tag-gmab","tag-herb-blank","tag-ibit","tag-iemg","tag-iwm","tag-lnvgy","tag-market-performance","tag-market-research","tag-mdy","tag-mrna","tag-msbt","tag-mtch","tag-qqq","tag-qqqm","tag-quant","tag-quant-models","tag-quantitative","tag-quantitative-models","tag-schd","tag-sector-performance","tag-sector-research","tag-spmd","tag-sptl","tag-spy","tag-spym","tag-tlt","tag-tsem","tag-ucbjy","tag-valuengine","tag-valuengine-blog","tag-valuengine-inc","tag-valuengine-com","tag-vb","tag-veu","tag-vtv","tag-vtwo","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\/4111","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=4111"}],"version-history":[{"count":3,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4111\/revisions"}],"predecessor-version":[{"id":4114,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4111\/revisions\/4114"}],"wp:attachment":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/media?parent=4111"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/categories?post=4111"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/tags?post=4111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}