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U.S. stocks diverge further:AI stock sell-offs weighed on U.S. stock indexes, while most S&P 500 components rose against the trend

BlockBeats reported that October 23,October 22 U.S. stocks showed a clear divergence: the S&P 500 index closed down 1.2%, while the Nasdaq fell 2.6%, but more than 500 S&P 300 components closed higher, while the Dow Jones and Russell 2000 indexes also closed slightly higher. Dow Jones Market Data showed that the last similar extreme divergence, with the S&P 500 falling sharply while most components rose, occurred in 2025 January.

Declines in a small number of large technology stocks were the main factor weighing on the indexes. Currently, the 500 largest companies by market capitalization account for approximately 10 companies collectively account for approximately 40%of the index's total market capitalization. The Philadelphia Semiconductor Index fell more than 6%on the day and has fallen more than June from its 26%high, entering a technical bear market; although Meta reported better-than-expected results, concerns over AI capital expenditures and subsequent financing needs drove its share price down by approximately 7%. By contrast, the consumer staples sector strengthened, with stocks such as General Mills and Campbell's rising.

This divergence has persisted for multiple weeks.BTIG strategist Jonathan Krinsky calculated that on more than 30%of trading days this year, the S&P 500 index moved in the opposite direction from most of its components, a proportion higher than in any full year since 1996. As of Thursday, the equal-weighted S&P 500 is on track to rise this week, while the Philadelphia Semiconductor Index continues to fall; if this pattern holds through Friday's close, the two will move in opposite directions for the 8 consecutive week, setting the longest record since data became available in the mid-90 s.

Farzin Azarm, managing director of equity trading for the Americas at Mizuho, believes that funds are being reallocated more within the market rather than exiting risk assets across the board. When AI stocks are sold off, funds shift to consumer staples, small- and mid-cap stocks, and U.S. Treasuries; when chip and data-center stocks rebound, funds return to growth sectors. However, Krinsky warned that if the rotation pattern between AI and non-AI stocks breaks down, the market could shift toward a more correlated, synchronized decline.

Original link https://m.theblockbeats.info/flash/373394