Crypto News & Market Updates

According to Bijie.com, Franklin Templeton has partnered with MoonPay to allow institutional investors to swap between their tokenized money market funds and stablecoins 24/7. This integration connects Franklin Templeton's Benji technology platform with MoonPay's transaction infrastructure, providing qualified institutions with a way to exchange stablecoins and tokenized money market funds within blockchain networks. This collaboration reflects Franklin Templeton's deep progress in the digital asset space. In April, the company announced plans to launch the Franklin Crypto division, focusing on proactive crypto investment strategies while continuing to build tokenized versions of traditional financial products. Sandy Kaul, Head of Innovation and Digital Assets at Franklin Templeton, stated that the company views 2026 as the "year of the universal liquidity layer," when stablecoins, tokenized funds, and other digital currencies will achieve interoperability and be used for trading, lending, and collateralization applications. Kaul pointed out that there is strong institutional demand to transfer stablecoin balances into tokenized money market funds and earn returns around the clock.

BlockBeats reported on June 2 that Israeli i24News reported that Israeli and Lebanese officials are holding a fourth round of talks in Washington, D.C.

According to Binance.com, MSTR sold Bitcoin for the first time since 2022, at a price of $68,887.58. Although this deal seems insignificant compared to its massive $58 billion holdings, the market reaction may signal a broader shift in the crypto market. Geoff Kendrick, Head of Digital Asset Research at Standard & Poor's, pointed out that Ethereum significantly outperformed Bitcoin on the day the sale was announced, despite overall crypto price weakness. Since Monday, Ethereum has risen 5% relative to Bitcoin. Kendrick expects Ethereum's price target to be $4,000 by the end of 2026 and $40,000 by 2030, and believes the Ethereum-to-Bitcoin ratio will rise to 0.04 by year-end, meaning that even with price fluctuations, Ethereum will outperform Bitcoin by more than 40%.

According to Bijie.com, Geoff Kendrick, Head of Digital Asset Research at Standard Chartered Bank, stated that Strategy's recent sale of a small amount of BTC may signal the start of ETH strengthening against BTC. He believes the key is not that the sale is only about $2.5 million, but that Bitcoin Treasury may need to sell coins or raise funds to cover expenses and debt in the future, since BTC itself does not generate profits. Kendrick said that ETH Treasury can earn returns through staking, so under financial pressure, there is no need to sell the underlying assets. He expects the ETH/BTC exchange rate to rise from the current about 0.028 to 0.04 by year-end, meaning ETH may have more than 40% outperformance over BTC.

BlockBeats reported that on June 2, digital asset financial services company Galaxy Digital announced that its global market trading division has officially launched an over-the-counter prediction market service for institutional clients. Through this product, hedge funds, family offices, and other institutional investors can participate in predictive market trading at a level of trading scale and privacy that retail platforms cannot provide. The service currently covers non-sports event contracts traded on Kalshi and Polymarket, including economic, political, geopolitical events, and other event-driven markets. Galaxy stated that it will expand to more prediction market platforms in the future. Additionally, the company can hedge forecasted market positions with stocks, commodities, and other assets in a portfolio to help clients build comprehensive risk management strategies around a single event. Galaxy revealed that the business has completed its first institutional transaction. The company executed a $10 million prediction market transaction for crypto-native hedge fund Arca, related to the legislative outcomes of the CLARITY Act. Through Galaxy's OTC trading platform, Arca can directly predict the final outcome of the bill and access institutional-grade liquidity and bilateral trade execution services. This move also reflects that the prediction market is gradually evolving from retail speculation tools into risk management and event trading tools for institutional investors.

BlockBeats reported on June 2 that Anthropic is allowing 150 additional institutions worldwide to use the Mythos AI model. The model is designed to detect cybersecurity vulnerabilities, and Anthropic has stated that making it public carries too great a risk. Anthropic plans to announce the increase in user numbers on Tuesday, bringing the total number of users with access to about 200. The company stated that these new institutions are spread across 15 countries, covering industries such as power, healthcare, and telecommunications. Although Anthropic has not disclosed its specific name, the company says it includes several companies and nonprofits that produce key programming code. Previously, insiders said that EU cybersecurity agencies would gain access to the software. Click the original link below to join Beating · Feishu AI news channel provides 24×7/7 uninterrupted monitoring of global AI hotspots and news.

BlockBeats reported on June 2 that Iranian media Fars News cited sources reporting that information exchange between Iran and the United States regarding the preliminary memorandum of understanding has been interrupted for at least several days.

BlockBeats reported that on June 2, according to its official website, Robinhood has launched spot trading for BIO and AXS.

According to ChainCatcher, public data shows that since the launch of evoevo, the AI economy project NeoSoul's self-evolution agent network has consumed over 15 billion tokens, with 200,000+ agents in the network and 1.5 million+ agent activity cycles. These figures to some extent reflect the growing market attention to AI Agent continuously running applications. Compared to single-session Q&A tools, agents that can run long-term, record behavior, and adjust based on feedback are becoming an important direction for AI application development. NeoSoul's AI Agents mainly make judgments and interact around real-world problems, with related activities recorded on-chain to observe and train their long-term performance. Going forward, NeoSoul will continue to build around real-world operation and behavioral records of agents, further exploring the AI economy direction. NeoSoul Co-founder Kaelan stated: "The key to the AI Economy is not just how many agents are created, but whether these agents can continuously interact in real-world environments." They need to form judgments, accept feedback, leave records, and accumulate long-term skills in the process. ”