U.S. stocks opened mixed, with AI-related names under pressure across the board. Marvell dropped 7.65% in the early session, making it the biggest decliner among the companies cited. The Dow Jones Industrial Average rose 0.28% and the S&P 500 edged up 0.08%, while the Nasdaq Composite slipped 0.07%. The VIX, a widely watched volatility gauge, was down 0.28% at the open. Other AI names also fell, with Synopsys declining 2.58%, Astera Labs down 2.56%, Tempus AI losing 2.25% and Palo Alto Networks off 2.25%. The figures came from MSX.COM, which is described as a leading RWA trading platform. According to the report, MSX has listed hundreds of RWA tokens tied to popular U.S. stocks and ETFs. The tokenized tickers on the platform include Nvidia, GOOGL, MSFT, AMZN, META, TSM and AMD. The opening data points were part of a broader market snapshot published on Odaily. That snapshot showed a split between the major indexes at the open.
U.S. equities kicked off the session with a split tape. The Dow Jones Industrial Average rose 0.28% and the S&P 500 gained 0.08%, while the Nasdaq Composite slipped 0.07%. The VIX fell 0.28%, according to MSX.COM data.
AI-linked names broadly declined. Marvell led the pullback, down 7.65%. Synopsys fell 2.58%, Astera Labs dropped 2.56%, Tempus AI lost 2.25% and Palo Alto Networks declined 2.25%.
MSX.COM is described in the report as a leading RWA trading platform. It has listed hundreds of RWA tokens, covering popular U.S. stocks and ETFs. The tokenized tickers include Nvidia, GOOGL, MSFT, AMZN, META, TSM and AMD.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
