U.S. spot Bitcoin ETFs saw net outflows of $398.6 million yesterday, while U.S. spot Ethereum ETFs recorded net outflows of $139.7 million.

Binance stated that as of 11:00 today, the platform’s hourly deposit amount has exceeded its hourly withdrawal amount, reflecting improved user activity and a gradual stabilization of its capital flow.

Dongcha Beating AI News Flash: As AI coding accelerates, Git backends are hitting capacity limits. Following Cursor and Anthropic, OpenAI has unveiled its self-developed Git backend Pando, which now manages the company’s entire main code repository. Over the past year, Codex has enabled engineers to deploy numerous AI agents to write code simultaneously, leading to a surge in code branches, pushes, merges, and pull requests. OpenAI’s legacy system experienced frequent lags and merge failures, with reliability dropping below 90% at one point. Subsequently, one engineer led the core architecture design, with multiple Codex Agent teams contributing to implementation, and Pando was launched into production in just 10 weeks. Pando enables parallel processing of code pushes across different branches, eliminating the need for queuing. When pulling code, it no longer generates individual data packets for each client; instead, it reuses existing Git data packets and distributes them directly via caching. After the upgrade, the median latency for code pushes was reduced by nearly 80%, with nearly 1 PB of data distributed daily and a cache hit rate exceeding 99%. However, the system no longer guarantees that different branches reflect the same state at a given time. The three companies are tackling similar scaling challenges but have taken vastly different approaches: Cursor’s Origin remains Git-based, primarily aiming to replace GitHub’s code hosting service; Anthropic’s Scion abandons Git entirely, moving commits, merges, and history queries to the server side. OpenAI opted to retain the Git client and protocol, rebuilding only the backend, so engineers and agents can largely keep their existing development workflows unchanged.

According to Lookonchain’s monitoring, a whale address has been continuously offloading AAVE and WLD recently. Over the past 10 days, the address has deposited a total of 184,203 AAVE (valued at ~$25.5 million) and 56.15 million WLD (valued at ~$25.85 million) across multiple exchanges, with the combined value of the two tokens totaling around $51.4 million.

K33 Research Head of Research Vetle Lunde estimates that Binance’s pre-tax profit from 2021 to 2025 is roughly $19.2 billion, while its known fines and hack-related losses total about $10.7 billion—equivalent to 56% of its pre-tax profit over the same period. Of this total, Binance’s known fines amount to around $4.34 billion, including the $4.32 billion paid in a 2023 U.S. criminal settlement and roughly $20 million in penalties from regulators in other countries. For hack incidents, Binance lost around 7,000 BTC (valued at approximately $41 million) in 2019; the October 2026 hack caused roughly $6.34 billion in losses, bringing total hack-related losses to around $6.38 billion. However, around $3 billion from the latest hack has been frozen on-chain, and Binance is still expected to recover some of these funds. The exchange also used 7,500 BTC from its SAFU (Secure Asset Fund for Users) to cover roughly 9% of the losses. Since Binance has never published consolidated group financial statements, the above profit and loss figures are estimates. The report also notes that Binance’s total tracked assets have dropped by more than 11% since the October 29 hack, to around $128.3 billion. As competitors Coinbase, Kraken, and OKX continue to expand, fines, hack incidents, and shrinking asset scale may squeeze Binance’s investment capital and put pressure on its expansion plans.

This whale keeps dumping $AAVE and $WLD! Over the past 10 days, the whale has deposited 184,203 $AAVE ($25.5M) and 56.15M $WLD ($25.85M) into multiple exchanges.

According to Bitget market data, the A-share semiconductor sector continues to slump: Changxin Technology fell more than 5%, Jinhaitong hit the daily limit down, Moxi Co., Ltd. and Core Source Microelectronics dropped over 10%, while Cambricon, Juguang Technology, and Moore Threads all declined. The STAR 50 Index widened its afternoon decline to 4%.