BTC $60,131.50 +2.37%
ETH $1,616.70 +2.47%
BNB $549.50 +0.38%
XRP $1.05 +1.49%
SOL $77.95 +5.21%
TRX $0.3161 +0.50%
DOGE $0.0723 +0.77%
ADA $0.1544 +6.36%
BCH $214.93 +5.69%
LINK $7.40 +2.77%
HYPE $62.58 -3.47%
AAVE $84.44 -2.24%
SUI $0.7208 +4.53%
XLM $0.1969 -2.12%
ZEC $413.91 +4.31%
BTC $60,131.50 +2.37%
ETH $1,616.70 +2.47%
BNB $549.50 +0.38%
XRP $1.05 +1.49%
SOL $77.95 +5.21%
TRX $0.3161 +0.50%
DOGE $0.0723 +0.77%
ADA $0.1544 +6.36%
BCH $214.93 +5.69%
LINK $7.40 +2.77%
HYPE $62.58 -3.47%
AAVE $84.44 -2.24%
SUI $0.7208 +4.53%
XLM $0.1969 -2.12%
ZEC $413.91 +4.31%

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Cantor Fitzgerald: The Bitcoin cycle indicates that the market may bottom out in the coming months

According to CoinDesk, Wall Street investment bank Cantor Fitzgerald has released a report stating that the cryptocurrency market is entering the final stage of the current bear market cycle. Analysts pointed out that as of June 10, Bitcoin has been 252 days since its peak in 2025, with a decline of about 51%. In the previous three market cycles, Bitcoin typically reached its bottom 384 days after peaking; if history repeats itself, this round of decline may bottom out around the end of October. The report cautions that this model is not an accurate timing tool, and macroeconomic, regulatory, and geopolitical risks still exist, but the reflexive nature of the cryptocurrency market suggests that historical cycles may self-reinforce.Cantor suggests that investors shift their focus from speculative activities to networks with the ability to accumulate lasting value, identifying Hyperliquid as a typical case of fee-driven token economics. Bitcoin remains the benchmark currency asset, Ethereum is the dominant collateral layer for on-chain finance, and Solana, Sui, XRP, and Zcash each have differentiated advantages but still need to prove sustainable value. Cantor has also included digital asset treasury companies Forward Industries and Cypherpunk Technologies in its research coverage, giving them a buy rating, with target prices of $7.9 and $0.9, respectively.

Security Alert: 30 malicious npm packages disguised as trading bot repositories, targeting the theft of developer keys and mnemonic phrases

SlowMist issued a security alert, detecting a coordinated malicious npm supply chain attack. The attackers utilized fake trading bot repositories and DeFi-themed npm packages to deploy JavaScript information stealers, targeting npm users, DeFi developers, and trading bot users.This attack involved 30 malicious npm packages, among which stake-math@3.5.4 appeared as a locked dependency in the donoaccestag/forex-mt5-trading-bot repository. This repository presented approximately 2300 highly homogeneous bulk-generated forks, mostly concentrated under the poly-stocks account, with signals being exceptionally clear. The sensitive data that attackers could steal is extensive, including cryptocurrency wallet libraries, browser cookies and saved passwords, browsing history, developer credentials, shell history, password manager libraries, private keys, mnemonic phrases, and API tokens exposed in source code.SlowMist recommends that developers immediately remove the affected npm packages, audit package.json and package-lock.json, and check CI logs for any of the 30 malicious packages; consider any system that has executed npm install as potentially compromised, rotate all exposed wallets, private keys, npm tokens, cloud credentials, SSH keys, and API tokens, and rebuild the affected environment from a clean image.

first_img The Ramp AI report shows that the adoption rate of Anthropic has surpassed that of OpenAI, with top companies' employees averaging an AI monthly expenditure of $7,449

The economic laboratory of the fintech company Ramp has released a new version of the Ramp AI Adoption Index report. Based on spending data analysis from over 70,000 U.S. enterprise customers, the adoption rate of enterprise-level AI for Anthropic increased by 2.5 percentage points to 41%, officially surpassing OpenAI, which slightly decreased to 39.5%, establishing a leading position in the field of commercial applications.The report focuses on analyzing the spending trends of top enterprises that "deeply adopt AI." Data shows that the top 1% of enterprises spend as much as $7,449 per employee per month on AI, with this figure still achieving a 14.1% increase last month; in contrast, the top 10% of enterprises have an average monthly spending of $611 per employee, while the median enterprise spends only $11.38 (approximately equal to the cost of a single basic subscription).Additionally, the research points out that enterprises that deeply apply AI do not experience "vendor lock-in" and generally adopt multiple cutting-edge large models, open-source platforms, and vertical AI solutions simultaneously. Although enterprises are beginning to experiment with more cost-effective models (such as DeepSeek) in the face of cost pressures, overall AI spending remains on an upward trend.
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