Alphabet is among the most overbought stocks on Wall Street. Here are the others

A CNBC Pro screen flagged a handful of S&P 500 names as technically overbought (14‑day RSI >70), including Alphabet (RSI 72.2), Merck (RSI 80), Ralph Lauren (RSI 71) and Las Vegas Sands (RSI 79.8), suggesting potential near‑term pullbacks. Market context: the Nasdaq fell 1.5% in November while the S&P 500 and Dow logged small gains; Merck — up >21% in November — beat Q3 estimates, narrowed guidance items and agreed to acquire Cidara Therapeutics for nearly $9.2 billion (consensus PT ~$102.43 implying ~2% downside). Alphabet’s rally is tied to investor enthusiasm around Gemini 3 and TPU chips, and Ralph Lauren’s shares climbed 8% this week after strong Q2 results and raised price targets, highlighting a mix of earnings/M&A and AI‑driven positioning driving recent price moves.

Analysis

Market structure: The immediate winners are large cloud/AI incumbents (GOOGL) and proprietary chip/TPU owners who capture incremental pricing power as demand for AI inference rises; beneficiaries also include Merck (MRK) where drug demand and M&A re-rate cash flows. Losers in the short run are overbought momentum names and discretionary leisure exposed to macro (LVS) if risk appetite reverses, and smaller AI players that cannot match TPU economics. Cross-asset: a tech-led rally steepens real-yield differentials, pressuring long-duration bonds and lifting implied vols in single-name tech while compressing broad equity vol until a catalyst pops the tape.

Risk assessment: Tail risks include regulatory action against Alphabet or a major AI safety incident, an MRK trial/M&A failure, or a Fed surprise that re-prices long-duration tech (each could create >15% moves). Near term (days-weeks) expect RSI mean-reversion moves of 5–12%; short-term (1–3 months) pricing will hinge on holiday-quarter guidance and early AI monetization metrics; long-term (2–3 years) winners are those turning TPU/Gemini integration into 200–300 bps incremental margins. Hidden dependencies: ad cyclicality, API monetization lags, and supplier constraints (chips) can amplify swings. Catalysts: quarterly reports, AI product release cadence, FDA/M&A milestones and Fed comments.

Trade implications: Do not load long equities into technically overbought names; prefer asymmetric option structures. For GOOGL, use 3-month call-debit spreads (buy ATM, sell +10–15%) to participate in AI adoption while limiting downside; hedge portfolio tail risk with 1-month S&P 5% OTM puts sized to 1% of AUM. Trim MRK exposure after a >20% MoM run and redeploy into selective healthcare defensives if upside to consensus is <5%.

Contrarian angles: Consensus underestimates the stickiness of search/AI monetization—an RSI pullback of 8–12% in GOOGL would be a tactical accumulation window for a 12–24 month hold if API revenue growth >30% y/y. Conversely, the market may be overstating short-term victory for Gemini vs ChatGPT; overcrowded longs create reflexive downside if a single disappointing earnings/usage metric emerges. Historical parallel: 2016–2018 cloud-platform leaders took short-term hits but consolidated market share and outperformed over 24 months; monitor real-world usage metrics (API calls, search AI queries) as leading indicators of durable revenue conversion.

Key Decisions for Investors

• GOOGL (GOOGL/GOOG): Establish 2–3% notional long-equity exposure via a 3-month call-debit spread (buy ATM, sell +10–15% strike) to capture AI monetization upside while capping cost; if shares drop >8% within 30 days, add a further 2–3% direct long stock exposure.
• MERCK (MRK): Trim existing MRK position by 50% of the November-run gains (i.e., realize gains if position is up >20% MoM) and redeploy proceeds into 6–12 month healthcare defensive names or cash; alternatively buy a 6-month 8–10% OTM put to hedge remaining exposure until the Cidara deal closes.
• LAS VEGAS SANDS (LVS): Initiate a tactical 1–2% notional short via 1–2 month put spreads (buy 5–10% OTM, sell 15–20% OTM) given RSI ~80, macro sensitivity, and negative sentiment; cover if LVS falls >12% or if RevPAR guidance beats by >5% on next report.
• Portfolio protection: Purchase S&P 500 1-month 5% OTM puts sized to 1% of portfolio AUM ahead of near-term Fed commentary and quarter-end flows; if realized vol rises >30% above 60-day average, tactically reduce single-name overbought exposure and redeploy into protected long-dated call spreads on high-conviction names.