Midterm Elections: Blue Wave? These Stocks Will Suffer The Most

Market and Macro Outlook

• The presenter described a sharp rotation away from technology, semiconductors, hyperscalers, and AI data-center stocks and into defensive areas: consumer staples, utilities, REITs, healthcare, some real-estate developers, and selected software and defense stocks. Meta (META) fell about 7%, and the Nasdaq 100 had its worst day since June.
• The presenter argued that a rebound in technology or chips should not be trusted without confirmation from market indicators and a shift out of a stagflationary backdrop—toward either stronger growth or inflation.
• They said short sellers had made about $6 billion betting against AI data-center stocks during the month, while hedge-fund short positions were approaching extremes. In their view, that could precede a bottom, but they cautioned that the decline could deepen first and potentially continue until the midterm elections.
• Their rotation strategy was to buy assets that had fallen and sell or short those that had risen, while monitoring whether defensive sectors continued to outperform. They cited recent gains in Blackstone (BX, about 8%), Hershey (HSY, about 4.5%), Waste Management (WM, about 4%), Lowe’s (LOW, about 12% since the cited purchase), and Duke Energy (DUK, about 10% since the cited purchase). Mondelez (MDLZ) was also described as rising roughly 4% in a session.
• Other stocks described as holding up or being oversold included Comcast (CMCSA), PepsiCo (PEP), McDonald’s (MCD), MGM Resorts (MGM), Delta Air Lines (DAL), Abbott Laboratories (ABT), and SLB. The transcript also mentions “Vikings” among the laggards; the intended security is unclear.
• The presenter showed “doomsday” and “post-bubble” stock lists as examples of portfolios that had gained while AI-related shares fell. Some names were up roughly 7–15% in a day, and the presenter said some list constituents had posted double-digit gains over a month. These were presented as examples, not independently verified performance figures.

Midterm-Election Scenarios

The election discussion was conditional on Democrats winning both the House and Senate. The presenter cited a 67% probability of that outcome without identifying the source of the odds. They framed the following stocks as possible beneficiaries or casualties of policy changes and political scrutiny—not as certain outcomes.

Potential Beneficiaries in a Democratic Sweep

• Solar and green energy: The presenter said a restoration of green-energy incentives could benefit solar stocks, including TAN.
• Companies exposed to Canada trade and tariffs: General Motors (GM), Ford (F), Magna International (MGA), and Alcoa (AA) might benefit if a Democratic victory raised expectations of reduced trade friction. MGM could also benefit if Canadian tourism to Las Vegas recovered.
• Hospitals: HCA Healthcare (HCA), Universal Health Services (UHS), and Tenet Healthcare (THC) were cited. The presenter described chart patterns in HCA and UHS as strong and said Tenet was near historic highs.
• Homebuilders: The presenter said housing affordability could become a priority, potentially supporting developers such as Lennar (LEN) and D.R. Horton (DHI). They noted that LEN had historically peaked ahead of broader market downturns and bottomed while a downturn was underway, citing the 2008 crisis and dot-com bust. They also said Berkshire Hathaway was buying Lennar.
• Software: A slowdown or restrictions on AI data-center construction could, in the presenter’s view, reduce the competitive threat to software companies. Names cited were Adobe (ADBE), Intuit (INTU), Salesforce (CRM), ServiceNow (NOW), and Autodesk (ADSK). The presenter explicitly said they were not using IGV, Snowflake, or Datadog for this list.
• Food retailers: Restored SNAP (food-stamp) benefits could support Walmart (WMT) and dollar stores, particularly Dollar General (DG). The presenter thought Walmart was already expensive and might approach, but not necessarily exceed, prior highs; DG was described as a preferred alternative.

Potential Losers in a Democratic Sweep

• Private prisons and companies linked to immigration enforcement: GEO Group (GEO), CoreCivic (CXW), and Palantir (PLTR), whose ICE-related work the presenter said could face closer scrutiny.
• Companies associated with Trump and Republican causes: Tesla (TSLA) and private company SpaceX were cited. The presenter said Elon Musk had contributed $445 million to the GOP. Oracle (ORCL) and Skydance/Paramount were also named as possible targets of scrutiny; the transcript’s description of the Paramount transaction and potential regulatory action reflects the presenter’s view.
• AI data-center and infrastructure exposure: The presenter listed VanEck Semiconductor ETF (SMH), Caterpillar (CAT), United Rentals (URI), Vistra (VST), Trane Technologies (TT), Bloom Energy (BE), Vertiv (VRT), Constellation Energy (CEG), and Eaton (ETN). They said a Democratic-led slowdown in data-center construction could pressure these companies; VST was described as potentially vulnerable to a roughly 10% one-day fall in that scenario.
• Hyperscalers: Alphabet/Google (GOOG/GOOGL), Meta (META), Microsoft (MSFT), Apple (AAPL), and Amazon (AMZN) were described as exposed to political scrutiny. The presenter cited possible bearish chart patterns in several of them, including a possible double top in Microsoft and a rising wedge in Apple.
• Crypto: The presenter said cryptocurrencies could face greater scrutiny and named Bitcoin (BTC) and Ether (ETH), but did not add crypto to the election-loser list because the market was too broad.

The presenter said they were not particularly concerned about defense contractors such as Lockheed Martin (LMT), RTX (Raytheon), and Northrop Grumman (NOC), arguing that both parties support the sector. They allowed that large pharmaceutical stocks could pull back after recent gains. Energy was described as a possible shared political target because both parties might blame energy companies for high fuel prices, though continued conflict involving Iran could still support energy prices.

Technical Levels, Instruments, and Risk Factors

• Crude oil: The presenter focused on $100 per barrel as a psychological threshold. They said oil repeatedly failed to hold that level, but a breakout and short squeeze could increase pressure on stocks. They argued that markets had become more sensitive to oil because consumers were in worse shape than when the Iran war began and because prices above $100 could strengthen recession fears.
• S&P 500 / SPY: The presenter described a rising-wedge pattern, with support around 760, followed by 750 and 740. A measured-move calculation suggested a potential decline of about 6–6.5% after a breakdown; their stated forecast was 730–725, with possible support near the 200-day moving average. These are the presenter’s chart-based estimates.
• Nasdaq / QQQ (“Qs”): The presenter expected an ABC-style reversal and cited the 200-day moving average as a potential support area. For QQQ, they described a rising wedge that had already broken down: a full measured move could imply a 9–10% decline, but they preferred a more conservative test of the 200-day moving average, estimated as 6–7% below the wedge breakdown or 3–4% below that day’s close.
• Russell 2000: Described as stronger than the Nasdaq and S&P, but the presenter wanted to see a close above 2,800 before becoming more confident. They warned that recession and sharply higher oil would still hurt it.
• “Equilibrium” index: The presenter said this index looked strongest, was above its 50-day moving average, and could reach a record high, helped by rotation into healthcare and utilities. The transcript does not clearly identify the index.
• Gold and the dollar: The presenter said the dollar might strengthen and gold was at risk if it lost $4,000. They warned they did not want to hold gold-mining stocks or GLD if that support failed, anticipating a rapid sell-off. This was a bearish, conditional view.
• Bonds: 30-year bonds were still falling, which the presenter interpreted—especially alongside rising oil—as a sign that markets were pricing in recession risk, not confirming a rotation back into technology.
• Other cited market references: EWF and RSP were said to be holding up; “EWF” is unclear in the transcript. The presenter also discussed a potential S&P futures head-and-shoulders pattern and chart patterns including rising wedges, inverse cup-and-handle setups, and tops.

Calendar and Company Results

• The next day’s calendar included the prior PMI indices, with particular attention to their price components, and the final University of Michigan consumer survey. The presenter warned that weak readings could prompt another market move.
• The earnings calendar mentioned SLB and a company transcribed as “Dynamic” (unclear). The presenter characterized SLB as a high-quality company with poor results and said results would need to support a fundamental case for buying it.
• Cadence was cited as an indicator of the condition of affluent consumers; the precise reference is unclear in the subtitles.

Explicit Cautions and Disclosures

• The presenter cautioned against assuming that an apparent market bottom was imminent merely because short positions looked stretched. They said a further sharp, possibly climactic, sell-off could come first.
• If such a capitulation sell-off occurred, the presenter said they might use it as an opportunity to sell puts and begin buying index exposure on the dip, promising to identify that point later.
• The presenter emphasized waiting for confirmation before rotating back into technology and warned that oil above $100 could trigger broader recession fears and a general sell-off.
• No explicit “not financial advice” disclaimer appears in the subtitles. Election outcomes, price targets, and chart interpretations are presented as the commentator’s opinions and scenarios.

Assets and Tickers Mentioned

In addition to those listed above: Nasdaq 100, Nasdaq, S&P 500, Russell 2000, SPY, QQQ, RSP, SMH, TAN, GLD, crude-oil futures (CL), Bitcoin, and Ether. The U.S. dollar, 30-year bonds, gold, energy, semiconductors, software, healthcare, utilities, consumer staples, REITs, solar, defense, and AI data-center infrastructure were also discussed.

The transcript’s references to “Vikings,” “EWF,” “Dynamic,” and the “equilibrium index” are unclear.

Presenter/source: The Maverick of Wall Street; no individual presenter name is stated in the subtitles.