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CITIC Construction Investment: Although the logic of AI computing power remains optimistic, volatility has intensified; it is recommended to be cautious in chasing high prices

CITIC Construction Investment Research Report points out that the following factors will determine the trend of the third quarter market: In terms of fundamentals, AI computing power remains at a high level of prosperity, with mid-year performance and overseas financial reports worth paying attention to. At the same time, since April, under pressure from the macro economy, the economic measures from the Politburo meeting in July are quite important; In terms of liquidity, external disturbances have increased, while internal conditions remain neutral; In terms of risk appetite, geopolitical events and the listing of industry giants will cause short-term fluctuations in the market. Considering the global tech stock correlation effect, major overseas computing powers such as Japan, South Korea, and the United States also need to be continuously monitored.In terms of industry allocation, although the logic of AI computing power remains unchanged, volatility has intensified. It is recommended to be cautious about chasing highs and to position during pullbacks; lithium batteries are expected to welcome a peak season, and energy storage demand continues to warm up, while new energy presents opportunities for phased valuation recovery; dividends are expected to rebound from oversold conditions, with relatively high cost-performance ratios. Key areas to focus on: banks, coal, public utilities, AI, optical modules, storage, chips, industrial metals, lithium battery materials (VC), etc.

FTC approves Musk's acquisition of Mesh antitrust application, involving AI data center optical network layout

According to the latest disclosure by the Federal Trade Commission (FTC), Musk has obtained antitrust approval for the acquisition of the optical network startup Mesh Optical Technologies, which means the FTC has completed a rapid antitrust review and will not challenge the transaction on competitive grounds, clearing a major regulatory hurdle for the advancement of the deal. However, it has not yet been disclosed whether the transaction has been signed or completed.Mesh was founded by former SpaceX engineers, and its core product is optical transceivers for AI data centers, which can improve energy efficiency, reduce latency, and enhance reliability compared to traditional network hardware, in order to meet the demand for millions of optical connections brought about by the growth of AI computing clusters. The founding team was involved in the development of the laser communication system for SpaceX's Starlink satellite network and plans to deploy optical communication technology into space in the future, adapting to the inter-satellite laser communication needs of orbital data centers and AI satellite networks. The company completed over $50 million in financing led by Thrive Capital in February of this year.Acquiring Mesh is one of SpaceX's initiatives to strengthen the competitiveness of large-scale computing clusters. Currently, SpaceX has listed AI computing power as a core business segment, and its xAI has been operating a total of approximately 1GW computing power with the Colossus and Colossus II training clusters, making it the first company to deploy coherent gigawatt-level AI training clusters; among them, Colossus II will add over 400MW of computing power and introduce over 220,000 GB300 chips. It has signed computing power cooperation agreements with Anthropic, Google, Reflection AI, and others, directly competing with large-scale cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud. This year, SpaceX has also reached a Terafab chip manufacturing plan with Tesla and Intel, extending its vertical integration capabilities in chip design and manufacturing.In the past week, SpaceX's stock price ended its upward trend, closing at $153.23 per share, down over 32% from its peak of $225.64 per share.

Cryptocurrency stocks have fallen much more than large tech stocks: Coinbase and Circle have dropped 69% and 72% from their highs, respectively, and Bitcoin briefly fell below $60,000, intensifying pessimism

According to Cointelegraph, in the wave of declines in technology stocks, cryptocurrency-related stocks have suffered particularly severe losses, with the divergence from the broader market continuing to widen. Coinbase (COIN) and Circle (CRCL) have fallen 69% and 72% from their respective historical highs, far exceeding the 48% to 57% pullback of mainstream tech stocks like Oracle, Salesforce, Netflix, and Palantir; in contrast, the S&P 500 index has only retreated 3.5% from its recent peak.On the fundamental side, Coinbase's first-quarter performance was significantly below Wall Street expectations, with a 21% quarter-over-quarter decline in revenue and a loss of $1.49 per share, while analysts had previously expected earnings of $0.27 per share. Bitcoin fell below $60,000 this week, down more than 54% from its October peak; Ethereum also dropped to around $1,500, down about 69% from last year's high, with market sentiment continuing to deteriorate.21Shares has lowered its 2026 cryptocurrency market expectations in its mid-year outlook report, believing that the performance of digital asset prices is significantly lagging behind the industry's fundamentals. The institution pointed out that institutional adoption is still deepening, with stablecoins, asset tokenization, and prediction markets maintaining strong development momentum, but the four-year market cycle of Bitcoin remains the dominant force in price trends. The report also acknowledged previous misjudgments—"the cycle of Bitcoin is evolving, but has not yet broken," retracting its earlier assertion that the four-year cycle was outdated.Analysts believe that the deep pullback in cryptocurrency stocks reflects the overall weakness of the digital asset market, the uncertainty of legislative progress in the U.S. cryptocurrency market structure, and the compounded pressure from the potential impact of AI technology on existing business models.
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