Fomo's daily revenue reached $1.2 million yesterday, setting a new historical high

Pons announced on the X platform that its cumulative trading volume has exceeded $5 billion, with a daily trading volume of $400 million in the past 24 hours. Additionally, over 63% of the trading volume of Robinhood Chain Launchpad was completed through Pons during the same period.

Vivek Ramaswamy's Strike company announced that it may purchase over 20000 Bitcoin by the end of the year, making it the second largest Bitcoin holding company in the world. （The Bitcoin Historian）

[DWF Labs Obtains VASP Regulatory Approval in the British Virgin Islands] According to the official announcement, DWF Labs has obtained Virtual Asset Service Provider (VASP) regulatory approval issued by the British Virgin Islands Financial Services Commission (BVI FSC), authorizing it to provide virtual asset exchange and financial services related to token issuance/sales under the BVI framework. Institutional clients can access DWF Labs' OTC trading and market-making services through the regulated BVI entity, covering spot trading for thousands of digital assets and stablecoins.

Hyperliquid will support optional configuration for the licensing market in network upgrades, collectively known as HIP-3. HIP-3 is managed by the deployment party or sub deployment party on the blockchain whitelist, and the deployment party can decide whether to use it. The first version of HIP-3 has been launched online for testing, aiming to provide additional features to meet compliance requirements.

According to the China Economic Information Service, Guangdong Province's first specialized financial product for the economy, Token Loan, has landed in Haizhu District, Guangzhou City. Bank of China Guangzhou Branch has granted approximately 28 million yuan in credit to related enterprises. Construction Bank, Agricultural Bank of China, Jiangsu Bank, Shanghai Rural Commercial Bank, and Zhangjiagang Rural Commercial Bank have launched credit products related to computing power, including computing power efficiency and token consumption in credit evaluation.