{"id":4039,"date":"2026-09-08T22:29:02","date_gmt":"2026-09-08T22:29:02","guid":{"rendered":"http:\/\/blog.valuengine.com\/?p=4039"},"modified":"2026-09-08T22:47:20","modified_gmt":"2026-09-08T22:47:20","slug":"09-08-2026-valuengine-weekly-commentary-advancing-nuclear-energy-and-evaluating-its-current-place-within-dynamic-asset-strategies-ccj","status":"publish","type":"post","link":"http:\/\/blog.valuengine.com\/index.php\/09-08-2026-valuengine-weekly-commentary-advancing-nuclear-energy-and-evaluating-its-current-place-within-dynamic-asset-strategies-ccj\/","title":{"rendered":"09\/08\/2026 ValuEngine Weekly Commentary: Advancing Nuclear Energy and Evaluating Its Current Place within Dynamic Asset Strategies. CCJ"},"content":{"rendered":"<p>U.S. equity markets were mostly mixed this week, with modest gains in the major benchmarks masking weakness across several sectors. The NASDAQ 100 ETF (<strong>QQQM<\/strong>) rose 0.36%, while the S&amp;P 500 ETF (<strong>SPYM<\/strong>) gained 0.11%, supported by strength in Energy (<strong>XLE<\/strong>), Technology (<strong>XLK<\/strong>), Utilities (<strong>XLU<\/strong>), and Health Care (<strong>XLV<\/strong>). However, Consumer Discretionary (<strong>XLY<\/strong>), Materials (<strong>XLB<\/strong>), Real Estate (<strong>XLRE<\/strong>), Industrials (<strong>XLI<\/strong>), Consumer Staples (<strong>XLP<\/strong>), and Communication Services (<strong>XLC<\/strong>) moved lower, indicating narrow market leadership. Stock-specific momentum remained strong, led by Moderna (<strong>MRNA<\/strong>), SanDisk (<strong>SNDK<\/strong>), A.P. Moller Maersk (<strong>AMKBY<\/strong>), Robinhood Markets (<strong>HOOD<\/strong>), Nebius Group (<strong>NBIS<\/strong>), and Vestas Wind Systems (<strong>VWDRY<\/strong>), highlighting continued strength across biotechnology, technology hardware, shipping, fintech, AI infrastructure, and clean energy names.<\/p>\n<p style=\"text-align: center;\">Trade ValuEngine supported portfolio strategies,<a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\">\u00a0www.ValuEngineCapital.com<\/a><\/p>\n<p>Scroll to the bottom of this post for the detailed week in review performance of major ETFs by sector, best performing stocks, and detailed strategy notes.<\/p>\n<p><span style=\"font-weight: 400;\">Two of the most significant government-led nuclear energy programs are illustrating how quickly the advanced nuclear field is expanding. The Nuclear Energy Launch Pad added 13 reactor and fuel cycle technology projects to its development pipeline. The U.S. Army announced the long-awaited <\/span><b>Project Janus<\/b><span style=\"font-weight: 400;\"> to move five reactor development projects forward on military installations. The programs cover different stages of commercialization, together representing the broad nuclear renaissance.\u00a0 Contracts have been awarded to five companies but only one is public, BWX Technologies (<\/span><b>BWXT).\u00a0 <\/b><span style=\"font-weight: 400;\">Operating as a virtual monopoly, BWXT is the sole manufacturer of nuclear reactors and fuel for the U.S. Navy. It is a primary beneficiary of massive government encouragement to build out nuclear energy channels.\u00a0 With a robust $8.4 billion backlog and commercial segments accelerating to feed AI-driven grid demand, it is highly favored by institutional value managers.\u00a0 <\/span><b>BWXT<\/b><span style=\"font-weight: 400;\"> is rated 3 by ValuEngine.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The four privately held companies are Westinghouse, Antares Industries, Radiant Nuclear and General Atomics.\u00a0 Interestingly, although Westinghouse has its headquarters, plant and workforce in Pennsylvania, it is almost entirely co-owned by two Canadian Companies, both publicly traded. Brookefield Asset Management (<\/span><b>BAM<\/b><span style=\"font-weight: 400;\">) owns 51% and its affiliate Cameco Corporation (<\/span><b>CCJ<\/b><span style=\"font-weight: 400;\">), a Saskatchewan based uranium-miner, has about 49%. Both have US listings. Cameco and Brookfield have formed the ultimate macro-power couple of the nuclear renaissance. This partnership effectively acts as a vertically integrated powerhouse controlling both the critical fuel supply (Cameco) and the premier nuclear hardware and financing ecosystem (Brookfield). Westinghouse will develop and deploy the eVinci microreactor in New York. The design recently hit a major milestone as the pilot version of the heat-pipe-cooled reactor reached initial criticality just last week.\u00a0 Of the companies directly involved in Project Janus and\/or generally considered key players in the Nuclear Renaissance<\/span> <span style=\"font-weight: 400;\">by industry experts, <\/span><b>CCJ <\/b><span style=\"font-weight: 400;\">is the only one rated <\/span><b>4 <\/b><span style=\"font-weight: 400;\">(Buy) by ValuEngine.\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<p style=\"text-align: center;\">Current ValuEngine reports on all covered 5000+ stocks and ETFs can be viewed\u00a0<a href=\"https:\/\/valuengine.com\/dashboard\/login\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/p>\n<p><span style=\"font-weight: 400;\">Other US-listed companies considered major players though not yet involved in Project Janis initiatives include utilities Constellation Energy (<\/span><b>CEG<\/b><span style=\"font-weight: 400;\">) and Vistra Corp.(<\/span><b>VST<\/b><span style=\"font-weight: 400;\">).\u00a0 Constellation is the undisputed titan of the U.S. nuclear landscape, operating America\u2019s largest fleet of commercial reactors. Because its fleet is not rate-regulated, Constellation directly captures rising power prices. This structure paved the way for its landmark 20-year deal to revive the Three Mile Island facility as the Crane Clean Energy Center, solely to power Microsoft data centers.\u00a0 Vistra is a massive independent power producer with an extensive unregulated nuclear portfolio, including the prominent Comanche Peak plant in Texas. Vistra\u2019s merchant model allows it to bypass restrictive state utility commissions, enabling it to recontract its zero-carbon nuclear capacity directly to enterprise cloud providers at premium pricing.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Also frequently mentioned as a player likely to be chosen for the next buildout of Project Janus is Curtis-Wright (<\/span><b>CW<\/b><span style=\"font-weight: 400;\">), a government defense contractor with specific expertise in nuclear technologies.\u00a0 <\/span><b>CEG, VST<\/b><span style=\"font-weight: 400;\"> and <\/span><b>CW <\/b><span style=\"font-weight: 400;\">are all rated <\/span><b>3 <\/b><span style=\"font-weight: 400;\">(Hold) as are the majority of stocks in our universe since we use a distribution somewhat similar to a bell curve with fewer buy rated than hold rated stocks. Some smaller cap players to keep an eye out for include Centrus Energy (<\/span><b>LEU<\/b><span style=\"font-weight: 400;\">), the only US-licensed producer of high assay, low-enriched uranium, critical for powering next generation-advanced small modular reactors (SMRs).\u00a0 <\/span><b>LEU <\/b><span style=\"font-weight: 400;\">is also rated <\/span><b>3.\u00a0\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">For investors that prefer to diversify risks by investing in ETFs that own <\/span><b>4-<\/b><span style=\"font-weight: 400;\">rated <\/span><b>CCJ <\/b><span style=\"font-weight: 400;\">along with many of the other stocks discussed here, there are two that own quite a few.\u00a0 They are VanEck Uranium and Nuclear ETF (<\/span><b>NLR<\/b><span style=\"font-weight: 400;\">) and Range Nuclear Renaissance Index ETF (<\/span><b>NUKZ<\/b><span style=\"font-weight: 400;\">).\u00a0 They were both buffeted badly in the first half of the year but have fared better since June 30.\u00a0 <\/span><b>NUKZ <\/b><span style=\"font-weight: 400;\">is now up for the year although badly lagging the overall market with a 3.6% gain while <\/span><b>NLR <\/b><span style=\"font-weight: 400;\">is still down 3.4%.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The first word that comes to mind when speaking about uranium is speculative.\u00a0 Yet, the country\u2019s need to catch up to Europe in harnessing nuclear energy for all its power needs, especially data centers, is quite real and timely.\u00a0 It may be early to shift funds to these stocks and ETFs with Project Janus just getting off the ground.\u00a0 That said, this is a space well worth monitoring for future opportunities.\u00a0\u00a0\u00a0<\/span><\/p>\n<p><strong>Weekly Market Recap &#8211; Week Ending Sep 04, 2026<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">September is historically the worst performing single month in the US Stock Market on a calendar basis.\u00a0 That usually doesn\u2019t portend a full correction, but losing months are as frequent as winning months.\u00a0 The US market is currently having a good year with the State Street S&amp;P 500 Index Portfolio ETF (<\/span><b>SPYM<\/b><span style=\"font-weight: 400;\">) up 12.8%.\u00a0 However, it continues to underperform international developed and emerging markets as the profitability of international diversification continues to gain traction.\u00a0 The Vanguard Total International (ex-US) Stock ETF (<\/span><b>VXUS<\/b><span style=\"font-weight: 400;\">) has gained 14.9%. This includes 0.8% last week in comparison to <\/span><b>SPYM\u2019s <\/b><span style=\"font-weight: 400;\">0.1% weekly return.\u00a0 Analysts attribute the lion\u2019s share of these differentials to the ever-declining US dollar with no sign of that trend breaking any time soon. iShares MSCI Emerging Markets ETF (<\/span><b>EEM) <\/b><span style=\"font-weight: 400;\">has provided a strong relative reward with a year-to-date gain of nearly 20% and 0.9% last week.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The ebbing of international flows amidst a fluctuating dollar is well-substantiated by current macroeconomic indicators. The U.S. Dollar Index (<\/span><b>DXY<\/b><span style=\"font-weight: 400;\">) experienced a sharp 9.4% drop heading into the current macro cycle. This structural soft patch has been driven by market adjustments to U.S. tariff uncertainties, twin deficits, and global monetary policy shifts. While headline gross cross-border flows into the U.S. look stable due to safe-haven status, net private flows reveal a different trend: U.S. institutional allocators have actively increased capital outflows by chasing cheaper relative valuations in Europe and emerging markets, reducing the default U.S.-heavy benchmark bias.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The good news for US investors is that domestic indexed retirement flows continue to function as an unbreakable floor for equities. Data highlights a massive structural chasm: long-term active funds recently suffered a net monthly outflow of $31.06 billion, whereas long-term index funds enjoyed contributions of a staggering $123.84 billion in a single month. Fueled by high corporate enrollment and automatic workplace contributions, average 401(k) and IRA balances have reached historic highs. This automatic, indexed liquidity continues to blindly bid up market-cap-weighted equities regardless of fundamental overvaluation.<\/span><\/p>\n<p style=\"text-align: center;\">Free Trial: Direct Access to ValuEngine Research on over 5,000 stocks and 700 ETFs\u00a0<a href=\"https:\/\/ww2.valuengine.com\/products-and-pricing\/\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/p>\n<p><span style=\"font-weight: 400;\">Professional value managers see this trend as opportunity.\u00a0 They are aggressively lightening up on overvalued mega-cap tech in favor of overlooked cyclicals. Sector ETFs recently bled billions driven heavily by a $6.1 billion single-month outflow from Technology. Institutional money is rotating straight into asset-heavy value sectors. Financials are benefiting from a steepening yield curve and a revival in corporate deal-making, while Energy has emerged as a premier macro winner. This is driven by strategic combinations and the explosive power demands required to fuel AI infrastructure and data centers. Conversely, broad defensive healthcare has been largely bypassed in favor of these raw economic security plays.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The market has developed into a bifurcated play for artificial intelligence and disruptive technologies. Mega-cap players possess the cash reserves to fund the massive infrastructure layer.\u00a0 Hyperscale capital expenditure is projected to soar toward an annual run-rate of $800 billion, boosting the physical supply chain. Active managers, exemplified by several of the ARK Asset Management funds, led by the ARK Innovation ETF (<\/span><b>ARKK<\/b><span style=\"font-weight: 400;\">),\u00a0 are hunting for small-cap and specialized semiconductor, memory, and energy-adjacent hardware firms that directly service this build out. The appetite for domestically focused, small-cap innovators has pushed the Russell 2000 to significantly outperform large-cap indices during key rotational periods.<\/span><\/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<p style=\"text-align: center;\">Free Trial: Direct Access to ValuEngine Research on over 5,000 stocks and 700 ETFs\u00a0<a href=\"https:\/\/ww2.valuengine.com\/products-and-pricing\/\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">296.07<\/span><\/td>\n<td align=\"left\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">0.36%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">34.8<\/span><\/td>\n<td align=\"left\" 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;\">-0.29%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">90.67<\/span><\/td>\n<td align=\"left\" 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;\">0.11%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Vanguard Morningstar Small-Cap Index Fund ETF&quot;}\"><span style=\"color: #000000;\">Vanguard Morningstar Small-Cap Index Fund ETF<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">300.01<\/span><\/td>\n<td align=\"left\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.25%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">52.44<\/span><\/td>\n<td align=\"left\" 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;\">-1.39%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">112.03<\/span><\/td>\n<td align=\"left\" 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;\">-0.85%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">64.06<\/span><\/td>\n<td align=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">58.1<\/span><\/td>\n<td align=\"left\" 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;\">0.00%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">175.27<\/span><\/td>\n<td align=\"left\" 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;\">-1.06%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">187.28<\/span><\/td>\n<td align=\"left\" 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;\">0.86%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">84.58<\/span><\/td>\n<td align=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">43.93<\/span><\/td>\n<td align=\"left\" 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;\">-1.24%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">43.08<\/span><\/td>\n<td align=\"left\" 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;\">0.82%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">171.45<\/span><\/td>\n<td align=\"left\" 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;\">0.17%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">114.91<\/span><\/td>\n<td align=\"left\" 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;\">-1.96%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\">Current ValuEngine reports on all covered 5000+ stocks and ETFs can be viewed\u00a0<a href=\"https:\/\/valuengine.com\/dashboard\/login\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/p>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"288\"><\/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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;AMKBY&quot;}\"><span style=\"color: #000000;\">AMKBY<\/span><\/td>\n<td align=\"left\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;A P Moller Maersk A S Unsponsored Denmark ADR&quot;}\"><span style=\"color: #000000;\">A P Moller Maersk A S Unsponsored Denmark ADR<\/span><\/td>\n<td align=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">17.52<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">13.24<\/span><\/td>\n<td align=\"left\" 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;\">32.33%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">226.39<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">184.11<\/span><\/td>\n<td align=\"left\" 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;\">22.96%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VWDRY&quot;}\"><span style=\"color: #000000;\">VWDRY<\/span><\/td>\n<td align=\"left\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Vestas Wind Systems AS ADR&quot;}\"><span style=\"color: #000000;\">Vestas Wind Systems AS ADR<\/span><\/td>\n<td align=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">11.02<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">9.02<\/span><\/td>\n<td align=\"left\" 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;\">22.17%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"288\"><\/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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">145.55<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">59.81<\/span><\/td>\n<td align=\"left\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 1}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">143.35%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;SNDK&quot;}\"><span style=\"color: #000000;\">SNDK<\/span><\/td>\n<td align=\"left\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;SanDisk Corp&quot;}\"><span style=\"color: #000000;\">SanDisk Corp<\/span><\/td>\n<td align=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">1740<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">1237.92<\/span><\/td>\n<td align=\"left\" 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;\">40.56%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;HOOD&quot;}\"><span style=\"color: #000000;\">HOOD<\/span><\/td>\n<td align=\"left\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Robinhood Markets Inc&quot;}\"><span style=\"color: #000000;\">Robinhood Markets Inc<\/span><\/td>\n<td align=\"left\" 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=\"left\" valign=\"middle\"><span style=\"color: #000000;\">122.11<\/span><\/td>\n<td align=\"left\" valign=\"middle\"><span style=\"color: #000000;\">94.52<\/span><\/td>\n<td align=\"left\" 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;\">29.19%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/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>Over 5,000 stocks, 700 ETFs, 16 sector groups, and 250+ industries updated on <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>U.S. equity markets were mostly mixed this week, with modest gains in the major benchmarks masking weakness across several sectors. The NASDAQ 100 ETF (QQQM) rose 0.36%, while the S&amp;P 500 ETF (SPYM) gained 0.11%, supported by strength in Energy (XLE), Technology (XLK), Utilities (XLU), and Health Care (XLV). However, Consumer Discretionary (XLY), Materials (XLB), &#8230; <a title=\"09\/08\/2026 ValuEngine Weekly Commentary: Advancing Nuclear Energy and Evaluating Its Current Place within Dynamic Asset Strategies. CCJ\" class=\"read-more\" href=\"http:\/\/blog.valuengine.com\/index.php\/09-08-2026-valuengine-weekly-commentary-advancing-nuclear-energy-and-evaluating-its-current-place-within-dynamic-asset-strategies-ccj\/\" aria-label=\"More on 09\/08\/2026 ValuEngine Weekly Commentary: Advancing Nuclear Energy and Evaluating Its Current Place within Dynamic Asset Strategies. CCJ\">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":[3402,1755,3404,1576,3403,2972,2177,3062,2977,2720,2971,2238,1760,1761,1719,1731,2365,2987,3405,1505,2897,3398,1471,2994,2995,2703,2708,3407,3401,3400,3399,3406,2006,2011,1510,1713,1911,1748,2767,2769,2801,2757,1699,1687,28,1656,1659,63,2356,1215,946,2121,2085,2277,1849,2279,1887,1814,2707,1900,2276,2278],"_links":{"self":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4039"}],"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=4039"}],"version-history":[{"count":7,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4039\/revisions"}],"predecessor-version":[{"id":4046,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4039\/revisions\/4046"}],"wp:attachment":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/media?parent=4039"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/categories?post=4039"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/tags?post=4039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}