A BTC whale bought the dip, raking in $25.7 million in 60 days for a 1170% return.

According to GMGN data, the stock-meme token project AMC on Robinhood Chain saw its market cap briefly surpass $4 million within one hour of launch, with trading volume reaching $7.6 million. The market cap has since retreated to $2 million. The AMC meme token leverages stock trading platform Robinhood, pairing with tokenized AMC Entertainment (the U.S. cinema chain with stock ticker AMC) as its liquidity pool, using the AMC/AMC trading pair to provide liquidity. Additionally, on-chain data shows that trader Bonk Guy transferred AMC tokens from a sub-address to his main address and holds them, with the current position valued at approximately $18,000. BlockBeats Note: Stock Meme is an emerging concept that combines traditional meme coins with tokenized U.S. stocks. Instead of pairing with USDT or ETH, meme coins are directly paired with on-chain U.S. stock tokens (such as NVDA, TSLA, AAPL, etc.). This retains the high volatility and community-driven speculative nature of meme coins while tying to the popularity and narrative of real stocks. A portion of transaction fees often flows back to the community treasury to accumulate corresponding U.S. stock tokens, forming a dual-driven model of "sentiment speculation + real asset anchoring". Prices are highly volatile; invest with caution.

According to Bitget market data, South Korea’s KOSPI index posted an intraday gain of 2.00%, Samsung Electronics rose 2.6%, and SK Hynix advanced more than 4%.

According to GMGN data, the stock-meme project MEME on Robinhood Chain briefly hit a market capitalization of over $20 million, a new all-time high, and is currently trading at $17 million, with a 24-hour surge of more than 800 times and a trading volume of $16.2 million. MEME leverages stock trading platform Robinhood, pairing with tokenized U.S. stock AMC Entertainment (American cinema chain, ticker: AMC) as its liquidity pool, providing liquidity via the MEME/AMC trading pair. Additionally, another Robinhood-based stock-meme project CINEMA also pairs with AMC, making the two tokens liquidity competitors. BlockBeats Note: Stock Meme is an emerging concept that combines traditional meme coins with tokenized U.S. stocks. Unlike meme coins paired with USDT or ETH, these tokens are directly matched with on-chain U.S. stock tokens (such as NVDA, TSLA, AAPL, etc.). This model retains the high volatility and community-driven speculative nature of meme coins while tying to the popularity and narrative of real stocks. Part of transaction fees often flows back to the community treasury to accumulate corresponding U.S. stock tokens, forming a dual-driven model of "sentiment speculation + real asset anchoring". Note: Price volatility is high, so investment requires caution.

According to Farside's monitoring, U.S. spot Bitcoin ETFs recorded a net inflow of $730.8 million yesterday, with BlackRock's IBIT attracting a net inflow of $454 million and ARKB seeing a net inflow of $137.7 million.

According to Farside’s monitoring, U.S. Ethereum spot ETFs posted a net inflow of $141.4 million yesterday, with BlackRock’s ETHA attracting $72.1 million in net inflows and Fidelity’s FETH bringing in $65.1 million.

Beating AI Express (Dongcha) News: Alibaba Cloud announced in a post that its Qianwen Office has reached a one-month milestone since launch, with over 30 million office users, more than half of whom are enterprise users. Qianwen Office has maintained high-frequency iterations over the past month, rolling out a total of 120 version updates (averaging 4 iterations per day) and adding over 1,000 features. Its international version is also now live. Qianwen Office has open-sourced its context base, the enterprise context infrastructure MyContext, which converts massive heterogeneous work data into contexts directly callable by Agents. Just weeks after its open-source release, MyContext has earned over 3,000 stars on GitHub. Integrated with deep connectivity to instant messaging (IM) tools like DingTalk, Qianwen Office can convert enterprise information scattered across business processes—including messages, documents, approvals, emails, and knowledge bases—into organizational contexts that Agents can understand and utilize. A simple command in DingTalk enables Agents to query customer data, check inventory, and provide recommendations across CRM and ERP systems. Together with the Qianwen large language model (LLM) team, Qianwen Office has launched the office-exclusive version Qwen3.8-Flash, which has been specially optimized for multi-step planning, tool selection, and context compression. It further enhances throughput efficiency via inference optimization and a customized Harness architecture. In real office scenarios, the generation speed of individual tasks has improved by roughly 100%, with token consumption reduced by an average of 75%.