#USEarningsSeason

US Midterms 2026: The Election Is Over, But the Real Market Test Starts Now

The US midterm election results have changed the political landscape, but I do not believe one election can decide the market direction for the next several months. Democrats have secured control of both chambers of Congress, while Republicans retain the White House. This creates a divided government. In my view, the next phase will be driven less by political headlines and more by earnings, economic data, interest rates, regulation, capital spending and the ability of companies to turn demand into real profits.

The first reaction has been positive, but the rally is not uniform. Some major technology and cloud companies advanced strongly, while several semiconductor, memory and EV names came under pressure. That difference matters: a rising index does not mean every stock is a good buying opportunity.
1. Which sector could lead the next rally: AI, chips, cloud computing or EVs?
My strongest preference is AI infrastructure, especially semiconductors, data-centre hardware, networking, memory and cloud platforms. I would not treat AI as one single trade. The opportunity is spread across companies designing processors, supplying memory, connecting data centres, providing computing capacity and selling AI services to businesses.
AI demand is becoming a real investment cycle. Businesses need more computing power, faster data movement, larger memory capacity and reliable cloud infrastructure to train and operate complex models. That can support chip designers, memory suppliers, networking companies and cloud operators. However, expectations are already high for some leaders. A strong industry story does not automatically make every stock cheap.

The November 5 US market snapshot shows why stock selection matters:
Microsoft (MSFT): around $555.95, up approximately 6.7%.
Amazon (AMZN): around $266.19, up approximately 6.2%.
Alphabet (GOOGL): around $289.02, up approximately 3.2%.
AMD: around $488.68, up approximately 1.0%.
Nvidia (NVDA): around $200.19, down approximately 3.1%.
Micron (MU): around $795.15, down approximately 7.0%.
SanDisk (SNDK): around $1,037.32, down approximately 7.9%.
Broadcom (AVGO): around $325.63, down approximately 2.0%.
Marvell (MRVL): around $159.85, down approximately 7.1%.
These figures show that investors are rewarding some platforms while taking profits or reassessing expectations in parts of the chip and memory trade. I see this as a reason to be selective, not a reason to abandon AI. Prices and percentage changes are snapshots and can move quickly.

My first choice is AI infrastructure and cloud companies with strong cash generation. Microsoft is interesting because its enterprise ecosystem, cloud services and AI tools give it several ways to monetize demand. Amazon is important because cloud capacity and enterprise workloads can support long-term growth. Alphabet combines cloud services, AI development and a large digital platform. For all three, I would check revenue growth, operating margins, capital expenditure and management guidance before adding exposure.

For semiconductor exposure, I would watch Nvidia and AMD for accelerator demand, and Broadcom and Marvell for networking and custom silicon. Memory is another important part of the AI supply chain: high-performance computing needs fast, high-capacity memory. But memory stocks can be volatile because pricing, supply expansion and customer inventories change quickly. I would not chase a sharp move in Micron or SanDisk simply because AI is a popular theme.
I rank EVs behind AI infrastructure and cloud for the next market move. Competition, pricing pressure, margins, financing costs and consumer demand can make EV shares more sensitive to economic conditions. Tesla (TSLA), for example, was around $385.27, down approximately 3.3% in the cited snapshot. I would want to see improving delivery trends, margins and guidance before treating a rebound as confirmed. EVs may offer individual opportunities, but they are not my leading sector bet right now.

2. Would I buy the rebound now or wait for earnings and guidance?
My approach is a combination: I would consider a small position in carefully selected companies with strong fundamentals, but keep capital available until earnings and guidance confirm the move. I do not want to buy simply because the market has printed one powerful green session. A relief rally can continue, but it can also fade when investors examine valuations, margins and future expectations.
The broad market reaction was positive. The S&P 500 gained approximately 1.59% to 7,689.24, the Nasdaq Composite rose around 1.42% to 25,732.53, and the Dow Jones advanced approximately 3.06% to 53,370.18 in the November 5 snapshot. These gains show broad relief, but they do not prove that every sector has entered a sustained uptrend.
Bitcoin also recovered strongly. BTC traded around $80,700–$80,800 in November 5 data, after moving from an intraday low near $75,600–$75,700 on November 4 to a high around $81,100–$81,200. The recovery was close to 4% on November 4, followed by a smaller positive move in November 5 historical data. I see improved risk appetite, but I would still watch whether BTC can hold above $80,000 and build acceptance above the $81,000–$82,000 zone. Losing the recovery could bring renewed volatility across risk markets.
My buying plan has three steps. First, identify companies with strong balance sheets, earnings growth and credible guidance. Second, wait for price confirmation: a successful retest, improving volume or a series of higher lows. Third, scale in gradually instead of committing all capital at one price. If earnings disappoint or guidance is reduced, I would rather miss the first part of a rally than hold a position based only on hope.

3. Which stocks would I choose, and what is my trading plan?
My watchlist focuses on AI infrastructure and cloud computing. I separate long-term conviction from short-term entry timing.
Microsoft (MSFT) — around $555.95, +6.7%. I like its enterprise ecosystem, cloud business and opportunity to monetize AI through business software. After a move of this size, I would not chase the price. I would wait for consolidation or a stable retest, then review cloud growth and margins. My view remains constructive if earnings growth supports the valuation.
Amazon (AMZN) — around $266.19, +6.2%. Its cloud business makes it an important AI infrastructure name, while its wider operations provide additional revenue sources. I would watch cloud growth, operating margins, infrastructure spending and management's outlook. I prefer a controlled pullback or confirmed breakout over buying an extended rally.
Alphabet (GOOGL) — around $289.02, +3.2%. AI research, cloud services and its digital platform give it several growth drivers. I want to see AI investment translate into sustainable revenue and profitability. Cloud performance, advertising trends, product adoption and capital expenditure will be important.
Nvidia (NVDA) — around $200.19, -3.1%. I continue to see it as a major AI computing company, but expectations are high and competition is developing. I would monitor data-centre revenue, product demand, supply capacity, margins and customer spending. I prefer a confirmed support hold over assuming every dip is a bargain.
AMD — around $488.68, +1.0%. I would watch its data-centre and accelerator business, product competitiveness and margins. Its opportunity depends on execution and its ability to gain share, not simply on AI-sector enthusiasm. I want earnings confirmation and a stronger price structure before increasing exposure.
Micron (MU) and SanDisk (SNDK) — around $795.15 (-7.0%) and $1,037.32 (-7.9%). Both are worth monitoring, but I would not call them automatic buys. Memory pricing, supply, inventory, customer demand and AI orders can change the outlook quickly. I would wait for selling pressure to ease, review company updates and look for a base to form. I would use smaller positions because volatility can be significant.
Tesla (TSLA) — around $385.27, -3.3%. I would keep it on my watchlist rather than make it my leading sector choice. Delivery growth, vehicle pricing, margins, competition and future guidance need to improve before I take a stronger bullish view.
I also want to distinguish a short-term bounce from a real trend reversal. A one-day rise can be driven by short covering, repositioning or relief after uncertainty fades. A healthier advance should show follow-through, broader participation and improving volume, while leaders should hold important breakout areas instead of immediately giving back their gains. I will compare equal-weight market performance with mega-cap strength and check whether gains are spreading beyond a handful of large companies.
For my own risk management, I would not use the same position size for Microsoft and a volatile memory stock. A high-volatility name needs a smaller allocation and more room for normal price swings. Before entering, I would write down the reason for the trade, the level that proves the idea wrong and the area where I would take partial profit. If price reaches my target but momentum weakens, I would protect some gains rather than wait for the perfect top. If price breaks the invalidation level, I would accept the loss and avoid averaging down without fresh evidence.
I am also watching whether AI investment broadens from a small group of technology giants into software, industrial automation, cybersecurity, power equipment and data-centre infrastructure. That wider adoption could create future opportunities beyond the most crowded chip names. Still, I would demand proof in orders, revenue and cash flow. A company mentioning AI in its presentation is not enough; I want measurable customer demand and a credible path to profit.

What could change my view?
Earnings and guidance: Strong past results are not enough if management signals slower growth or weaker margins.
AI capital expenditure: Heavy spending supports chip and cloud demand, but investors need evidence of returns.
Interest rates and inflation: Higher-for-longer rates can pressure expensive growth stocks and valuations.
Regulation and policy: A divided government may create gridlock, but data-centre rules, energy use, trade and technology regulation can still affect companies.
Geopolitics and oil: A change in energy supply or international tensions could reverse market sentiment quickly.
Valuation and positioning: When expectations are crowded, even a good report can trigger profit-taking if it fails to exceed expectations.

My final view
I am not treating the election result as a guaranteed buy signal. Political uncertainty has eased and the first reaction has been positive, but the next sustainable move must be supported by earnings growth, stronger guidance, healthy cash flow and technical confirmation. I would rather build positions gradually in quality businesses than chase every green candle.

My current focus is Microsoft, Amazon, Alphabet, Nvidia and AMD for AI and cloud exposure, with Micron and SanDisk on a higher-volatility watchlist. I will keep Tesla under observation until its fundamentals and price trend become more convincing. If the market confirms the rebound, I can increase exposure step by step. If earnings weaken or support levels fail, protecting capital comes first.
That is how I am approaching this post-election market: follow the numbers, respect the risk, wait for confirmation and let company performance—not political excitement—decide my next trade.
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