A whale or institution has sold a total of 837.8 BTC and reallocated its holdings to purchase 27,500 ETH.

According to Lookonchain's monitoring, a long-dormant Bitcoin ancient whale has reactivated after years of inactivity, transferring all 4,582 BTC from its wallet, valued at approximately $377.58 million.

Per an official announcement, Bitget has upgraded its CFD products, refining the tiered leverage and margin mechanism for gold (XAUUSD). For open positions of XAUUSD and its related contracts (XAUUSD.p, XAUUSD.s, XAUUSD.pro) under $100,000, the maximum leverage has been increased from the prior 800x to 2,000x, with the corresponding margin requirement lowered to 0.05%. For positions exceeding this threshold, the platform will retain its tiered margin calculation mechanism, where the margin rate adjusts dynamically as the position’s notional value rises. This upgrade, enabled by a more flexible tiered leverage and margin structure, further boosts capital efficiency and strategy agility in CFD trading, offering professional traders more options for strategy allocation across varying market conditions.

Another #BitcoinOG has woken up after years of inactivity, transferring out all 4,582 $BTC ($377.58M).

Crypto KOL Him sold Robinhood-linked meme coin BONER worth $286,000, while still holding BONER valued at $247,700. In a post, he noted he has recovered his initial principal from all positions and will keep the remaining holdings until the end of the current cycle. According to GMGN monitoring, BONER has fallen over 40% in 24 hours, with its current market capitalization standing at $25.27 million.

The yield on the 10-year US Treasury note fell by 5 basis points to 5.1935%, while the yield on the 30-year US Treasury bond dropped by 4 basis points to 5.5546%.

Insight Beating AI News Flash: Zhipu AI has launched GLM-Legal, a legal-specific model further trained based on GLM-5.3-Flash. In the Harvey LAB evaluation covering 24 types of legal services, its task pass rate rose from 6.7% to 19.2%—nearly triple the original level, outperforming models including Kimi K3 and Claude Fable 5, and ranking 7th on the Vals AI leaderboard. Zhipu demonstrated several practical application cases: when reviewing software service contracts, GLM-Legal suggested shortening the termination notice period from 60 days to 30 days, and required the service provider to provide up to 90 days of handover support. In another software project dispute involving 40 documents, it found that the company reported 60% project completion to clients while internal records showed only around 41%, uncovered emails from the CEO asking to hide risks and continue charging, and analyzed potential legal liabilities based on contract terms. According to Vals AI's independent evaluation, GLM-Legal costs only $0.15 per test, while the comparable Gemini 4 Argon costs $10.55—an approximately 70x cost difference. However, GLM-Legal's average processing time reaches 72 minutes, much slower than Gemini 4 Argon's 44 minutes. Zhipu stated that the model was trained on specialized legal data and underwent reinforcement learning in tens of thousands of simulated legal environments to enhance its ability to complete complex tasks. Currently, API trial access for GLM-Legal requires application.