GMGN App’s team feature is now open for onboarding, with four teams including Wanji Team announcing their participation.

According to HTX market data, Ethereum has dropped below $2,000.

US President Trump’s latest post states: "I have directed Vice President Vance to focus all efforts on the large-scale corruption and crime taking place in Democratic-led cities and states across the U.S. Democratic-led states including Minnesota, California, and Illinois are mismanaged and rife with corruption — it is an outright disaster. Billions of dollars are stolen every month. Curbing this large-scale criminal activity will quickly balance our budget. Corruption runs in the blood of the Democratic leadership! We do not need a deal with Iran now; that era is long gone. We hold hundreds of billions of dollars in Iranian funds and control their straits! Thank you all for your attention to this matter." Driven by this news, U.S. and Brent crude oil rallied nearly $2 in the short term.

According to data from the BIT stock platform, the three major U.S. stock index futures plunged: Nasdaq 100 futures' losses widened to 1.4%, S&P 500 futures fell 0.7%, and Dow futures dropped 0.2%.

According to Onchain Lens data, Hyperliquid repurchased and burned approximately 21,200 HYPE tokens in the past 24 hours, at an average repurchase price of $72.31, with the burned tokens valued at around $1.53 million. As of now, Hyperliquid has cumulatively burned roughly 50.47 million HYPE tokens, which at current prices is valued at about $3.55 billion, accounting for 5.05% of the token’s total supply. The platform’s cumulative revenue stands at $1.41 billion, with revenue of approximately $68.82 million over the past 30 days.

AI cloud computing company Nebius has released its third-quarter financial results, reporting a 571% year-over-year revenue increase to $981 million, beating market expectations by about 8%; adjusted EBITDA came in at $466 million, also exceeding the forecast of $357 million. However, the firm projects full-year 2026 revenue will land at the lower end of its $3 billion to $3.4 billion guidance range, below the market consensus of roughly $3.37 billion. What has drawn even more market focus is Nebius’ projection that 2027 capital expenditures (capex) will reach $40 billion to $45 billion, alongside a revenue outlook of $12 billion to $13 billion—approximately four times its 2026 level. The company stated that customer advance payments and investment-grade contract asset-backed financing are expected to cover 75% to 85% of next year’s capex, with advance payment volumes seen rising from around $10 billion this year to $17 billion to $20 billion. Its CEO noted that the total value of new contracts signed since the third quarter exceeds $12 billion, with Databricks, Datadog, Palantir, and Snowflake all signing multi-year agreements with the company for the first time. While the results significantly outperformed expectations, the underwhelming full-year 2026 revenue guidance and the planned capex of up to $45 billion next year have still sparked market concerns about AI infrastructure expansion and financing pressures.

Julien Lafargue, chief market strategist at Barclays Private Bank, said that while the turmoil surrounding NVIDIA CEO Jensen Huang’s tenure, uncertainty over AI investment returns, and rising financing costs are testing market confidence, investors should still stay engaged in the AI rally. Lafargue argued that AI is not a bubble, but a technological revolution that will impact all industries, though its commercialization and infrastructure development cannot be achieved overnight. Lafargue noted that NVIDIA is dubbed the "central bank of AI trading," but even if the company changes its CEO, it does not mean all transactions in the broader AI ecosystem need to be re-evaluated or renegotiated. He compared the potential leadership transition at NVIDIA to past management handovers at Microsoft, Alphabet, and Amazon, noting that a successor taking over does not necessarily erode a company’s value. However, Barclays cited interest rates and financing conditions as key risks that could upend the market. As AI infrastructure investment scales up, the market’s focus has shifted from whether computing power demand is genuine to whether massive capital expenditures can generate sufficient returns. Data center construction also faces bottlenecks such as power access, equipment installation, and commercial operation cycles, while expectations of tighter Federal Reserve policy could raise corporate financing costs and depress long-term cash flow valuations. Lafargue emphasized that trillions of dollars in AI investment pledges cannot be quickly converted into actual computing power delivery, and returns on investment will vary significantly across companies. Tighter financing conditions may alter the industry’s investment pace and competitive landscape, but they do not mean the long-term demand for AI infrastructure will disappear. Barclays remains inclined to maintain exposure to AI investments until clear signs of a significant slowdown in industry growth emerge.