{"id":4016,"date":"2026-08-18T02:57:35","date_gmt":"2026-08-18T02:57:35","guid":{"rendered":"http:\/\/blog.valuengine.com\/?p=4016"},"modified":"2026-08-18T03:14:24","modified_gmt":"2026-08-18T03:14:24","slug":"08-17-2026-valuengine-weekly-market-summary-commentary","status":"publish","type":"post","link":"http:\/\/blog.valuengine.com\/index.php\/08-17-2026-valuengine-weekly-market-summary-commentary\/","title":{"rendered":"08\/17\/2026 ValuEngine Weekly Market Summary &#038; Commentary"},"content":{"rendered":"<p><strong>Weekly Market Recap &#8211; Week Ending August 14, 2026<\/strong><\/p>\n<p>U.S. equity markets advanced this week, with gains spread across most major ETFs and sector benchmarks. Energy (<strong>XLE<\/strong>) led the group with a strong 7.67% gain, while Dividend Equity (<strong>SCHD<\/strong>), Utilities (<strong>XLU<\/strong>), Communication Services (<strong>XLC<\/strong>), Consumer Staples (<strong>XLP<\/strong>), Technology (<strong>XLK<\/strong>), Small Caps (<strong>VB<\/strong>), and Health Care (<strong>XLV<\/strong>) also posted positive returns. The NASDAQ 100 ETF (<strong>QQQM<\/strong>) rose 1.11%, while the S&amp;P 500 ETF (<strong>SPYM<\/strong>) gained 0.42%, indicating steady but selective market strength. Consumer Discretionary (<strong>XLY<\/strong>) and Materials (<strong>XLB<\/strong>) were the main laggards, while stock-specific momentum remained strong in selected technology, health care, mining, and AI infrastructure names, led by Everpure (<strong>P<\/strong>), Lenovo Group (<strong>LNVGY<\/strong>), Nebius Group (<strong>NBIS<\/strong>), MongoDB (<strong>MDB<\/strong>), Tenet Healthcare (<strong>THC<\/strong>), and Agnico Eagle Mines (<strong>AEM<\/strong>).<\/p>\n<p style=\"text-align: center;\"><strong>Trade ValuEngine supported portfolio strategies,<a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\">\u00a0www.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, and finally our full strategy outlook.<\/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 08\\\/07\\\/2026&quot;}\"><b><span style=\"color: #000000;\">Last Week&#8217;s Close Price 08\/07\/2026<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Weekly Change 08\\\/14\\\/2027&quot;}\"><b><span style=\"color: #000000;\">Weekly Change 08\/14\/2027<\/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;\">297.7<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">1.11%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;SCHD&quot;}\"><span style=\"color: #000000;\">SCHD<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Schwab US Dividend Equity ETF&quot;}\"><span style=\"color: #000000;\">Schwab US Dividend Equity ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">33.9<\/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;\">1.83%<\/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;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;\">91.01<\/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;\">0.42%<\/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;\">306.09<\/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;\">1.05%<\/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;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;\">52.86<\/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;\">-0.61%<\/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;\">111.25<\/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;\">1.53%<\/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;\">57.5<\/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;\">7.67%<\/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;\">57.6<\/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;\">0.97%<\/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;XLI&quot;}\"><span style=\"color: #000000;\">XLI<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Industrial Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Industrial Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">185.18<\/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;\">0.72%<\/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;\">187.97<\/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;\">1.09%<\/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;\">85.12<\/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;\">1.14%<\/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;\">44.98<\/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;\">0.64%<\/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;\">43.61<\/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;\">1.61%<\/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;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">165.68<\/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;\">1.02%<\/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;\">119.86<\/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;\">-1.38%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong style=\"text-align: center;\">Free Trial: Direct Access to ValuEngine Research on over 5,000 stocks and 700 ETFs <a href=\"https:\/\/ww2.valuengine.com\/products-and-pricing\/\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/strong><\/p>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"135\"><\/colgroup>\n<colgroup width=\"71\"><\/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;LNVGY&quot;}\"><span style=\"color: #000000;\">LNVGY<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Lenovo Group Ltd&quot;}\"><span style=\"color: #000000;\">Lenovo Group 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;\">85.2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">54.05<\/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;\">57.63%<\/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;NBIS&quot;}\"><span style=\"color: #000000;\">NBIS<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Nebius Group NV&quot;}\"><span style=\"color: #000000;\">Nebius Group NV<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">277.68<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">182.62<\/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;\">52.05%<\/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;AEM&quot;}\"><span style=\"color: #000000;\">AEM<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Agnico Eagle Mines Ltd&quot;}\"><span style=\"color: #000000;\">Agnico Eagle Mines 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;\">186.46<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">136.34<\/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;\">36.76%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"135\"><\/colgroup>\n<colgroup width=\"71\"><\/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;\">118.16<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">69.93<\/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;\">68.97%<\/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;MDB&quot;}\"><span style=\"color: #000000;\">MDB<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Mongodb Inc&quot;}\"><span style=\"color: #000000;\">Mongodb 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;\">460.33<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">323.36<\/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;\">42.36%<\/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;THC&quot;}\"><span style=\"color: #000000;\">THC<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Tenet Healthcare Corp&quot;}\"><span style=\"color: #000000;\">Tenet Healthcare 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;\">267.9<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">194.38<\/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;\">37.82%<\/span><\/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 <a href=\"https:\/\/valuengine.com\/dashboard\/login\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/strong><\/p>\n<p><strong>Strategy Note:<\/strong><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Two weeks into the second quarter, every major class of equities is doing well. The lowest expense ratio S&amp;P 500 ETF <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>SPYM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">, the SPDR <\/span><span style=\"font-family: Roboto, sans-serif;\"><i>Portfolio <\/i><\/span><span style=\"font-family: Roboto, sans-serif;\">S&amp;P 500 ETF, is up 4% with the Invesco Nasdaq-100 ETF, <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>QQQM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">, up 6.3%. New flows into the US equity markets are the underlying reason as neither value nor growth stocks have been used as sources of funds for migration as we\u2019ve seen in some other months this year. The Vanguard Value ETF <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>(VTV) <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">gained 3.4% while growth (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>VUG<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">) did even better at 4.9%. The SPDR S&amp;P MidCap 400 ETF (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>MDY<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">) is up 4.5% while Small Cap iShares Russell 2000 (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>IWM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">) has risen 4.8%. Wealth has been distributed fairly evenly over the float-weighted market cap spectrum, requested ETFs posted positive returns. <\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Interestingly, although <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>SPYM <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">has had a much better-than-average first 7-1\/2 months this year, up nearly 14%, it has under-performed almost all major classes of US equity ETFs. The exception is the mere 10% posted by growth-benchmark <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>VUG. <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">Leading the pack on a year-to-date basis is small-cap barometer <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>IWM <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">with a 24% gain, followed by <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>VTV, <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">the Vanguard Value ETF, and <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>QQQM. <\/b>B<\/span><span style=\"font-family: Roboto, sans-serif;\">oth are up 19%. It is counter-intuitive that the combination of investors rotating toward small cap and value followed by earnings-season jolts of large cap tech resulted in identical results for the Nasdaq-100 and large-cap value stocks.\u00a0 Both outperformed <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>SPYM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\"> by 500 basis points (+5.00%). Midcap stocks were not far behind with an 18.9% gain by <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>MDY. <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">Year-to-date, the two major categories of foreign stocks also outperformed <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>SPYM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">. IShares MSCI Emerging markets ETF (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>EEM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">) gained 21.8% while Vanguard FTSE All-World Ex-US gained 17.2%. If these trends persist, it would make the second straight year that the major non-US stock benchmarks have outperformed the S&amp;P 500 Index after more than a decade of near-relentless under-performance.<\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">The first half of August did have one major reversal with respect to the first seven months of 2026. Gold bullion, as measured by lowest-cost ETF <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>GLDM<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">, outgained all of the above ETFs during the period and gained more than 8%. This brought the precious metal\u2019s year-to-date return into positive territory for the first time this year. <\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Now that the vast majority of companies have reported, investors may return their focus to rotation out of large-cap tech into value and small cap again. There is no guarantee of that. Another possibility is that the market will go into a historical pattern of relative under-performance between the beginning of the third week of August and the second week of October. <\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">There is a lot of cautious sentiment being expressed by investment strategists. The most interesting evidence of investors needing to be in the market yet cautious at the same time probably is the tremendous expansion of the buffered\/defined outcome and covered call and options-income ETF markets. There are now 502 US-listed ETFs in the former category and 551 in the latter. These categories of ETFs allow investors to hedge their bets against market declines in two distinct ways. Buffered ETFs essentially can be thought of as stop-loss products where investors are willing to accept a cap to the market\u2019s upside, along with somewhat higher fees, in order to have a fund managed to accept no more than a certain percentage loss during the next 12 months. Covered-call and options-income ETFs provide well-above-average monthly dividend yields but limit capital appreciation. The idea is that when the index declines, the income earned will offset the capital loss of the ETF price. <\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Goldman Sachs (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>GS<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">) recently engaged in two purchases making its mark in both these markets. Following its completed acquisition of Innovator Capital Management (which added 171 defined-outcome\/buffer ETFs) and its pending agreement to acquire NEOS Investments (which adds 19 options-income\/covered-call ETFs), Goldman Sachs controls 171 defined-outcome and buffered ETFs (via Innovator) and 19 covered-call\/options-income ETFs (via NEOS, pending close in early 2027). This is alongside its own legacy products. Prior to that, JP Morgan made a big splash in options income in 2022 by launching JPMorgan Equity Premium Income ETF<\/span><span style=\"font-family: Roboto, sans-serif;\"><b> (JEPI) <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">and JPMorgan Nasdaq Equity Premium Income ETF<\/span><span style=\"font-family: Roboto, sans-serif;\"><b> (JEPQ). <\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">Both of these ETFs now have between $30 and $50 billion is assets. In contrast, the longtime category leader in terms of assets, Global X Nasdaq-100 Covered Call ETF (<\/span><span style=\"font-family: Roboto, sans-serif;\"><b>QYLD<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">) has less than $10 billion is assets in its 17<\/span><sup><span style=\"font-family: Roboto, sans-serif;\">th<\/span><\/sup><span style=\"font-family: Roboto, sans-serif;\"> year of existence. <\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\"><br \/>\nDespite Goldman\u2019s impressive entry into the defined outcome market, the top five ETFs by assets are all sponsored by First Trust in its FT Vest series. This is led by more than $10 billion in <\/span><span style=\"font-family: Roboto, sans-serif;\"><b>BUFR<\/b><\/span><span style=\"font-family: Roboto, sans-serif;\">, the FT Vest Laddered Buffer ETF. <\/span><\/p>\n<p><span style=\"font-family: Roboto, sans-serif;\">Our main take-away from all of this is that the crash of fixed income funds in 2022 has shaken the faith of investors, especially those nearing or in retirement, in traditional 60-40-style asset allocation. Specifically in the belief that 40% in fixed income can provide positive ballast when equity markets go south. Defined Outcome and buffered ETFs address the maximum-acceptable-loss issue explicitly. Options-income ETF provide income in hand that can offset potential losses. Together, strategic investing has been moving towards these two ETF options and away from traditional asset allocation since 2022 and the trend has only been accelerating throughout 2026.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/www.valuengine.com\/\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=http:\/\/www.valuengine.com\/&amp;source=gmail&amp;ust=1760454514815000&amp;usg=AOvVaw0jaArNHd8Bz74iU3wHHl0F\">www.ValuEngine.com<\/a>\u00a0(<wbr \/>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><a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=http:\/\/www.valuenginecapital.com\/&amp;source=gmail&amp;ust=1760454514815000&amp;usg=AOvVaw22EhPOkTAIkAbJq7vZ7au9\">www.ValuEngineCapital.com<\/a>\u00a0(<wbr \/>ValuEngine Capital Management, LLC) is a Registered Investment Advisory firm that trades a variety of different portfolios based upon the ValuEngine.com research models. Each portfolio has a different risk\/return profile, so clients can be placed in strategies that fit their specific investment needs.<\/p>\n<p><a href=\"http:\/\/blog.valuengine.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">BLOG.VALUENGINE.COM\u00a0<\/a>for the full history of ValuEngine.com financial blog posts<\/p>\n<p>____________________________________________________________________________<\/p>\n<p>5,000 stocks, 600 ETFs, 16 sector groups, and 140 industries updated on\u00a0<a href=\"http:\/\/www.valuengine.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">www.ValuEngine.com<\/a><\/p>\n<p>Full Two Week Free Trial\u00a0<a href=\"http:\/\/www.valuengine.com\/pub\/VeSubscribeInfo\" target=\"_blank\" rel=\"noopener noreferrer\">HERE<\/a><\/p>\n<p>Financial Advisory Services based on ValuEngine research and Portfolios available through\u00a0<a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">www.ValuEngineCapital.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Weekly Market Recap &#8211; Week Ending August 14, 2026 U.S. equity markets advanced this week, with gains spread across most major ETFs and sector benchmarks. Energy (XLE) led the group with a strong 7.67% gain, while Dividend Equity (SCHD), Utilities (XLU), Communication Services (XLC), Consumer Staples (XLP), Technology (XLK), Small Caps (VB), and Health Care &#8230; <a title=\"08\/17\/2026 ValuEngine Weekly Market Summary &#038; Commentary\" class=\"read-more\" href=\"http:\/\/blog.valuengine.com\/index.php\/08-17-2026-valuengine-weekly-market-summary-commentary\/\" aria-label=\"More on 08\/17\/2026 ValuEngine Weekly Market Summary &#038; Commentary\">Read more<\/a><\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[4,130,39],"tags":[393,2688,3351,2720,2238,1760,1761,1776,1731,1804,1483,1834,2038,2367,3224,1819,3347,3348,1833,2703,2708,3350,678,3349,2006,2011,1510,1938,1921,1748,2758,1818,2801,93,2078,2757,1281,2516,28,63,2356,2462,2403,2121,2085,2277,1849,2279,1887,1814,2707,1900,2276,2278],"_links":{"self":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4016"}],"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=4016"}],"version-history":[{"count":6,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4016\/revisions"}],"predecessor-version":[{"id":4022,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4016\/revisions\/4022"}],"wp:attachment":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/media?parent=4016"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/categories?post=4016"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/tags?post=4016"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}