A crypto whale has been continuously selling off AAVE and WLD, depositing a total of $51.4 million in tokens to CEXs over the past 10 days.

According to Bitget market data, South Korea’s KOSPI index closed down 210.29 points on Tuesday, November 3, with a 3.59% drop, ending at 5648.79 points. SK Hynix fell 5.02%, and Samsung Electronics declined 4.14%.

According to Arkham's monitoring, the hacker who attacked Mercado Bitcoin recently transferred approximately $8 million worth of ETH to a new wallet. The hacker currently holds around $46 million in crypto assets.

Results of the U.S. midterm elections may alter investors’ expectations regarding AI capital expenditures, fiscal deficits, and debt ceiling negotiations, in turn influencing the performance of U.S. stocks, Treasuries, and the U.S. dollar. Markets currently widely expect the Democratic Party to take control of the House of Representatives, while control of the Senate remains uncertain. If the Democrats secure full control of Congress, they may ramp up oversight of the AI industry, advance safety standards for frontier models and regulations on data centers, while intensifying investigations into the Trump administration and associated entities. If Congress remains divided, budget disputes and debt ceiling negotiations could stall, raising the risk of a government shutdown. If the Republican Party retains control of both chambers, policies such as tax cuts, expanded defense spending, and deregulation may continue, benefiting AI and infrastructure investment, but could also further exacerbate the U.S. fiscal deficit and debt pressure. Analysts note that the midterm elections’ impact on markets is more reflected in the repricing of policy expectations, rather than directly determining stock market movements. Regardless of the election outcome, AI regulation, fiscal sustainability, and the debt ceiling negotiations that may restart in 2027 will remain key factors influencing the performance of U.S. assets.

According to tanker tracking data compiled by Bloomberg, combined crude oil exports from Saudi Arabia, the UAE, Iraq, and Kuwait hit 15.53 million barrels per day (bpd) in October, a month-on-month rise of around 10%, nearly returning to levels before the conflict erupted in February this year. Specifically, Saudi Arabia’s exports grew 13% to 7 million bpd, Iraq’s increased 9.5% to 3.35 million bpd, the UAE’s rose to 3.74 million bpd, and Kuwait’s expanded by one-third to 1.44 million bpd. Meanwhile, Iran’s crude oil and condensate exports have not recorded any tanker loadings for the second consecutive month, mainly impacted by U.S. maritime sanctions. The supply recovery is also mirrored in market structure: Dubai’s front-month crude oil futures shifted into contango for the first time since July, with the November contract trading at a discount of roughly $2 per barrel to the December contract, signaling a loosening of short-term supply. Driven by increased supply and expectations of possible U.S.-Iran talks resuming, both Brent and WTI crude oil dropped around 7% on Monday. However, analysts noted that this export recovery is gradual, with no large-scale concentrated tanker loading observed so far. Separately, OPEC and its allies are set to hold a ministerial meeting on November 29 to discuss 2027 production targets.

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.