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CITIC Securities: The high growth of earnings in the U.S. stock market may no longer be concentrated solely among leading technology companies

CITIC Securities released a research report indicating that as the performance of U.S. stocks during the domestic long holiday becomes desensitized to interest rates, investors' focus will shift to the upcoming third-quarter earnings reports of U.S. stocks starting next week.LSEG's consensus expectations show that the S&P 500's revenue and earnings growth rates for Q3 2026 are expected to reach 1.2% and 45.0% year-on-year, respectively, with a slight decline quarter-on-quarter. At the industry level, the year-on-year earnings growth rates for energy, information technology, materials, and healthcare all exceed 50%. The high growth in U.S. stock earnings may no longer be concentrated solely in leading technology companies, as the earnings contribution from non-tech sectors is significantly increasing.For Hong Kong stocks, although the overseas interest rate hike cycle combined with the restart of AI momentum trading continues to pressure liquidity, the fundamental expectations have bottomed out, and the earnings growth expectations for major broad-based indices have begun to be revised upward. The adjustment of industry earnings expectations is significantly differentiated, with some sub-sectors seeing upward revisions, while the earnings expectations for domestic demand-related industries still face downward pressure. The upcoming third-quarter performance will be an important basis for assessing the progress of recovery. We advise investors to remain patient with Hong Kong stocks, as short-term dividend strategies are expected to continue to outperform.

first_img The decentralized exchange THORChain has launched native Zcash trading

Decentralized exchange THORChain announced that native Zcash swaps are now live, allowing users to exchange ZEC with assets on other supported blockchains without relying on wrapped tokens or centralized exchanges. This launch follows the protocol's 3.20 update, which introduced support for Zcash and Monero. At that time, the liquidity in the Zcash pool exceeded $50,000, and the network has begun processing real ZEC swaps.The pool is currently in a soft launch phase, with performance being monitored. If vulnerabilities or other issues arise, trading may be temporarily paused. The current pool size can easily support five-figure trades, while larger trades will experience higher slippage and slower settlement until liquidity increases. When the fee-to-depth ratio is sufficiently high, the protocol's own liquidity will automatically join the Zcash pool. This mechanism was introduced with the 3.20 upgrade, allowing the protocol to deploy a portion of liquidity fees (initially set at 20%) to supported liquidity pools.After integration, ZEC holders can swap their native assets with supported assets such as Bitcoin, Ethereum, and stablecoins without needing to deposit Zcash with a centralized custodian or convert it into wrapped assets on other networks. Zcash brings the total number of native blockchains in THORChain's cross-chain liquidity network to 14, with swaps settled in native assets on their respective chains, rather than transferring assets through cross-chain bridges or requiring users to relinquish custody.

first_img Decentralised.co: On-chain stock exposure has exceeded 6 billion USD

Decentralised.co published a discussion on the path of stock tokenization, stating that the exposure to on-chain stocks held by traders and investors through tokenization and synthetic perpetual contracts has exceeded 6 billion dollars. The total market size of on-chain stock tokens is 3.21 billion dollars, with a 10% increase over the past 30 days; the open interest of perpetual contracts for stocks, indices, and ETFs on trade.xyz is 3.01 billion dollars, accounting for 94% of the total stock token market size.The process of stock tokenization is divided into four stages: initially, it is mostly offshore packaged certificates, followed by becoming collateral, then brokers tokenizing the shares that users already hold, and finally, the company registering the shares themselves on-chain. Most stock tokens are debt certificates that do not include voting rights or ownership of shares. Taking Robinhood as an example, after the related entity purchases shares and they are held by a custodian, it issues debt securities corresponding to one share to users, with dividends reinvested and stock splits adjusting the number of shares represented; if the issuer fails to perform, the securities agent will sell the shares and pay the holders, while the issuer can only maintain the price through arbitrage within a limited time frame.The market size of the top 100 tokenized stocks increased from 2.09 billion dollars to 3.03 billion dollars within 90 days, and the number of holding addresses grew from 417,000 to 4.21 million, with Binance and Robinhood contributing 86% of the new addresses. About 97.5% of the addresses hold less than 100 dollars, with exchanges and large wallets holding most of the value. The borrowing rates for collateralized loans against related stock tokens on Kamino, Jupiter Lend, and Ether.fi are approximately 4% to 5.75%.

SemiAnalysis: ByteDance accounts for nearly one-fifth of China's data center capacity

The semiconductor research organization SemiAnalysis released a survey on Chinese data centers, tracking over 1,000 facilities from more than 60 operators. The report estimates that by the end of 2026, China's data center capacity will exceed 24GW, second only to the United States' 56GW. ByteDance accounts for nearly one-fifth of this, making it the largest data center tenant in the country.ByteDance has leased over 4GW of data center capacity, with suppliers including Qinhuai Data, China United Network Communications, and Century Internet. The report states that by early 2026, ByteDance will still contribute about 90% of Qinhuai Data's revenue. ByteDance has also begun to accelerate its self-built data centers, constructing large facilities in Shanxi, Anhui, and Inner Mongolia to reduce reliance on external suppliers.The report also mentions that while Chinese data centers have long been considered to have a high vacancy rate, AI server rooms are still in short supply. This is due to many old server rooms lacking sufficient power supply and cooling capabilities, making it difficult to directly deploy high-power AI servers, while newly built large AI data centers are quickly being rented out. For example, a 100MW data center, excluding IT equipment such as servers, has a construction cost of about $300 million in China and about $1.5 billion in the United States, with Chinese facilities of the same scale typically delivered in about 12 months. Compared to the power supply and approval issues faced by the United States, the more prominent bottleneck for expanding AI data centers in China is the supply of advanced chips.
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