US equities are split by time horizon, according to research published this week.
In the near term, one camp of analysts expects a bounce off the 200-day moving average, while a bearish thread sees more downside as the AI and data-centre trade unwinds. Medium- and long-term views are mostly constructive.
Researchers tie the sell-off to crowded AI positioning and worries that a Democratic Congress would tighten data-centre rules. Bulls argue it's forced liquidation with earnings and compute demand still intact, and point to favourable post-midterm seasonality. Bears call it a mid-cycle correction that began in August, citing weak market breadth and overly optimistic 2027 margin assumptions — with some analysts advising to sell rallies.
On sub-sectors, the published consensus sees value in semiconductors after the washout, though a contrarian view warns of further pain into 2027-28. Analysts broadly prefer established hyperscalers like Microsoft, Alphabet and Amazon over more leveraged AI build-out names such as CoreWeave and Nebius. Healthcare and the S&P ex-AI are favoured rotation trades; consumer staples are flagged as expensive.
By the numbers:
• Positioning (CFTC, as of 3 Nov 2026): Speculators (leveraged funds) are net long Nasdaq-100 (E-mini) and net short S&P 500 (E-mini) and Russell 2000 (E-mini). Nasdaq-100 (E-mini) is at the crowded-long extreme (COT index 93: the largest net long in a year); S&P 500 (E-mini) (51) and Russell 2000 (E-mini) (57) are mid-range.