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first_img The tokenized U.S. stock issuer EQX will launch the first batch of 11 markets on Hyperliquid

The tokenized U.S. stock issuer EQX Labs announced the launch of EQX, which will issue tokenized U.S. stocks and ETFs natively in the form of HIP-1 tokens on Hyperliquid's HyperCore. The first 11 markets will soon open for 24/7 trading on Hyperliquid's public order book, and the tokens can be traded without permission.The EQX token is issued by the independent portfolio company EQX SPC Ltd. in the British Virgin Islands and is classified as a limited recourse note backed by stocks, with each code corresponding to an independent portfolio. Authorized participants can exchange between shares and tokens, and the issuer does not charge any related fees. The supported assets are held 1:1 by custodians connected to DTC, currently including Alpaca, StoneX, and Clear Street. Shares pending delivery will be displayed separately as in transit and should be settled on the next U.S. business day. The issuer is held by the Cayman purpose trust EQX STAR Trust, and EQX Labs does not hold this issuing entity.Holders can submit voting instructions via on-chain signatures, and dividends will be automatically reinvested in the same stock after withholding. Stock splits will be reflected in the supported shares. Once Hyperliquid's proposed HIP-1 expansion goes live, EQX plans to directly allocate dividends to holders' accounts. There are no issuer fees for creation, redemption, and holding, and trading is subject only to Hyperliquid's standard spot trading fees, with related business supported by trading fees shared by Hyperliquid with HIP-1 deployers.

Robinhood has over 150,000 people opening AI trading accounts, and the CEO envisions retail strategies close to the exchange

The CEO of the stock and cryptocurrency trading platform Robinhood, Vlad Tenev, stated in a recent interview that a significant portion of retail trading is expected to be initiated by AI in the future. The Agent can monitor the market around the clock and handle trades in various assets such as stocks, options, and cryptocurrencies, but most funds may still be held long-term.In May of this year, Robinhood allowed users to trade through third-party AI Agents via MCP, and at the end of September, it announced the direct integration of Agents into the App, with over 150,000 customers having opened dedicated trading accounts at that time. Currently, funds are still restricted through independent accounts; the Agent can view users' other account information but can only place orders within the dedicated account, and funds must be actively transferred by the user. Tenev stated that technically, it is not difficult to directly access the main account, but the company has chosen to gradually loosen permissions.In terms of approval settings, the built-in Agent requires users to approve each transaction by default, but this setting can be manually turned off; external Agents accessed through MCP do not require per-transaction approval by default, and users must enable approval themselves. Tenev also envisions allowing retail investors to deploy trading strategies on servers close to exchanges to reduce order delays, and hopes that ordinary investors can use such infrastructure without needing to understand data centers and network engineering. Robinhood has not yet provided this service and has not announced a timeline for its launch.

IMF: The market size of tokenized RWA is approximately 65 billion USD, which may become a new channel for leverage accumulation and liquidity risk

The International Monetary Fund (IMF) released the October "Global Financial Stability Report," which for the first time discusses the tokenized market in a dedicated chapter. The report shows that as of the end of July, the public market size of tokenized Real World Assets (RWA), excluding repos and stablecoins, is approximately $65 billion, with credit accounting for about $30.4 billion, money market funds about $17.5 billion, and stocks about $2.3 billion. The average daily trading volume of tokenized repos over 30 days reached $303 billion.The report states that the issuance of tokenized stocks is highly concentrated, with Ondo Finance and Backed Finance (xStocks) together accounting for over 70%. More than 50% of trades occur outside regular trading hours for U.S. stocks, with about 80% of trade sizes being less than one share, volatility being about 1.5 times that of traditional markets, and liquidity being significantly lower.The IMF believes that while the scale of tokenized assets is small, it may bring efficiency improvements in multiple areas, but it could also create new channels for leverage accumulation and liquidity and maturity mismatches, exacerbating technological and infrastructure risks, with current systemic risks remaining limited. The IMF also pointed out that in the absence of interoperable central bank currencies, stablecoins and tokenized deposits may become the main settlement tools in the tokenized capital market, leading to issuer credit risk and concentration risk.

Trump plans to transfer senior officials from the AI testing agency to the White House, with a 40-person team evaluating top models

The Trump administration plans to transfer three senior officials from the U.S. artificial intelligence model testing agency CAISSI to the White House, reporting directly to White House technology policy director Michael Kratsios and national cyber director Sean Cairncross. The government had previously considered moving the entire agency to the White House but ultimately only adjusted part of the senior leadership; the related transfers have not yet been completed, and the identities of the three officials have not been disclosed. Since its establishment by the Biden administration, the agency has used three different names in less than two years, and Chris Fall, the head, resigned just three months after taking office in July of this year, with a successor yet to be determined.CAISSI is affiliated with the National Institute of Standards and Technology (NIST) under the U.S. Department of Commerce, has about 40 employees, and an annual budget of approximately $15 million, responsible for model safety assessments. According to informed sources, the agency is collaborating with the National Security Agency to test OpenAI's Astra and Anthropic's Mythos before public release; it has previously assessed DeepSeek V4 Pro and Zhiyuan GLM-5.3. Google confirmed that Gemini 4 Argon has participated in the voluntary testing process before the U.S. government release. The White House hopes that this adjustment will allow model testing experts to be more directly involved in policy decision-making.
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