ChainCatcher news, Siebert Financial Chief Investment Officer Mark Malek stated that the rise of the US 10-year Treasury yield to 5% is not due to problems in the US economy, but rather a synchronized increase in global bond yields. He pointed out that the Japanese 10-year government bond yield has surpassed 3% for the first time in 30 years. Malek believes the market has come to realize again that lending for ten years is a risk, not an automatic convenience.

ChainCatcher reports that SoftBank Group's credit default swaps are hovering near a three-year high, with traders assessing the potential impact on OpenAI's financing plans. SoftBank has committed to investing $64.6 billion in OpenAI. OpenAI is in early talks with investors, planning a new funding round before its IPO, with a valuation exceeding $1.2 trillion.

ChainCatcher news, according to Lookonchain monitoring, a trader bought 12.1 million ARGUS on Arc Chain for about $1,200, then sold 1.8 million ARGUS, profiting about $30,900, and currently still holds about 10.1 million ARGUS, valued at about $332,000. Data shows that the cumulative earnings of this address on ARGUS are about $361,000, with a return rate of 302 times.

ChainCatcher news: Former Chairman of the U.S. Commodity Futures Trading Commission (CFTC) Chris Giancarlo stated that despite the CLARITY Act stalling in the Senate, the U.S. Securities and Exchange Commission (SEC) and CFTC will still proceed to formulate crypto regulations. Giancarlo, who served as CFTC Chairman, expressed this view regarding the progress of U.S. crypto regulatory legislation. Tags: #CFTC #SEC #Giancarlo #Regulation Source link: https://x.com/cointelegraph/status/210007577850

ChainCatcher news, according to CoinDesk, an attacker exploited a permission verification flaw in the Multicall contract authorized by the Safe multisig wallet, attempting to transfer about 2,900 rsETH (approximately 7.8 million USD). However, the automated trading bot yoink detected the transaction in the public trading pool, paid about 47,000 USD in fees to front-run it, intercepted 2,882 rsETH, and transferred them to another address. BlockSec, Blockaid, SlowMist, and AstraSec all confirmed t

ChainCatcher news, according to Coinglass data, the cryptocurrency fear and greed index is currently 52, down 16 points from yesterday. The 7-day average is 60, and the 30-day average is 65.

ChainCatcher news, according to SoSoValue data, Ethereum spot ETFs had a total net outflow of $141 million yesterday. The Ethereum spot ETF with the largest single-day net inflow was Blackrock's Staked ETH ETF ETHB, with a single-day net inflow of $12.3788 million. Currently, ETHB's historical total net inflow has reached $857 million. The second is the 21Shares ETF TETH, with a single-day net inflow of $2.4028 million, and TETH's historical total net inflow has reached $33.7738 million. The Eth

ChainCatcher news, according to SoSoValue data, the total net outflow of Bitcoin spot ETFs is 450 million USD. The Bitcoin spot ETF with the largest single-day net outflow yesterday was Fidelity ETF FBTC, with a single-day net outflow of 215 million USD. Currently, FBTC's historical total net inflow has reached 10.121 billion USD. Next is Blackrock ETF IBIT, with a single-day net outflow of 162 million USD. Currently, IBIT's historical total net inflow has reached 63.977 billion USD. As of the t

ChainCatcher reports that Standard Chartered Bank has initiated coverage of Arbitrum's ARB token, forecasting it to rise from about $0.14 to $10 by the end of 2030, citing revenue from networks like Robinhood Chain. The bank also warns ARB holders of risks such as the inability to directly share Arbitrum's revenue, a slowdown in tokenization progress, and competition from peers.

ChainCatcher news: Citibank analysts point out that leading memory chip manufacturers are expected to benefit from the structural shifts in AI development. The institution anticipates that continual learning will drive significant growth in memory demand, leading to a market supply shortage extending through 2031. Continual learning, which strengthens models by training on new tasks and knowledge, will create ongoing demand for model updates and access to historical data, boosting memory usage f