Bitget App
Trade smarter
News
Stay up to date on the latest crypto trends with our expert, in-depth coverage.
No results1Bitget Daily Digest (Nov 25) | Grayscale XRP ETF and Franklin XRP ETF go live; Public companies bought a net $13.4M BTC last week; U.S. September PCE rescheduled to December 5, and Q3 GDP advance report canceled2Bitcoin climb to continue as selling pressure eases: Analysts3Bitcoin price $80K low was bottom, thinks Arthur Hayes
Flash
- 20:41Data: 60,000 AAVE transferred out from Galaxy Digital, worth approximately $10.76 millionAccording to ChainCatcher, Arkham data shows that at 04:21, 60,000 AAVE (worth approximately $10.76 million) were transferred from Galaxy Digital to an anonymous address (starting with 0x7915...).
- 20:41Data: TNSR drops over 11% in 24 hours, NTRN rises over 9%According to ChainCatcher, spot market data from a certain exchange shows significant market volatility. TNSR has dropped by 11.89% in the past 24 hours, while NTRN has risen by 9.71% in the past 24 hours, both showing a rebound after hitting lows. At the same time, NMR, DYM, BB, SCR, and USUAL all experienced a "surge and pullback" pattern, with declines of 5.38%, 9.71%, 6.6%, 10%, and 10.78% respectively. The remaining token, BANANAS31, also showed a rebound after hitting lows, with an increase of 5.57%.
- 20:26Nvidia: Our GPUs are a generation ahead of Google's AI chipsJinse Finance reported that Nvidia stated on Tuesday that its technology remains a generation ahead of the industry, responding to Wall Street's concerns that Google's AI chips may threaten Nvidia's dominance in AI infrastructure. Nvidia said: "We are pleased with Google's success—they have made significant progress in AI, and we will continue to supply products to Google. Nvidia is currently a generation ahead of the industry—we are the only platform capable of running all AI models and being universal across various computing scenarios." This statement was released as Nvidia's stock price fell 3% on Tuesday, following reports that one of its major clients, Meta, may reach an agreement with Google to use Google's Tensor Processing Units (TPUs) in its data centers. Nvidia stated in the post that its chips are more flexible and powerful compared to so-called ASIC chips (such as Google's TPU), which are typically designed for a single company or a single function.