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Duan Yongping's estimated unrealized loss on his holdings in Pop Mart is approximately HKD 1.87 billion to HKD 2.12 billion

According to the Hong Kong Stock Exchange's equity disclosure, Duan Yongping holds 106,716,000 shares of Pop Mart (09992.HK) through his investment entities, accounting for 8.01% of the issued shares. Based on the stock price of HKD 132.50 on October 27, the market value of the holdings is approximately HKD 14.14 billion.In terms of cost, Jiemian News quoted market estimates on October 26, indicating that the average comprehensive holding cost is around HKD 150 per share; Lan Jing News previously estimated the comprehensive cost to be about HKD 152.32 per share. The corresponding paper losses are approximately HKD 1.868 billion and HKD 2.115 billion, with loss ratios of about 11.67% and 13.01%. The relevant purchase records are: 9.8232 million shares bought on May 25 at an average price of HKD 150; 4.66 million shares bought on May 28 at an average price of HKD 162.5; 10.59 million shares bought on July 6, calculated at approximately HKD 150; and an additional 1 million shares on September 1 at an average price of HKD 155. The first three transactions total approximately 25.07 million shares, with an investment of about HKD 3.816 billion, and a weighted average price of approximately HKD 152.4.The above is based on media estimates of costs and is not the actual investment gains and losses disclosed by Duan Yongping; part of the underlying position comes from options trading, and the complete holding cost cannot be independently verified solely based on public information. Pop Mart's announcement shows that overall revenue for the third quarter of 2026 (unaudited) is expected to decline by 45% to 50% compared to the third quarter of 2025; a decline of 25% to 30% in China, 65% to 70% in the Asia-Pacific region, 70% to 75% in the Americas, and 50% to 55% in Europe and other regions; offline channels in China are expected to decline by 5% to 10%, while online channels are expected to decline by 45% to 50%.

first_img China's artificial intelligence stocks have significantly declined, with the STAR50 dropping 40% in the past four months

Reuters reported on October 26 that amid fluctuations in global tech stocks, Chinese artificial intelligence and semiconductor-related stocks have already declined. The STAR50 index, dominated by mainland artificial intelligence and semiconductor leaders, has dropped 40% in less than four months, with a market value evaporating by about $480 billion. The CSI 300 index has fallen about 20% from its June peak, interrupting nearly two years of gains. Beijing fund manager Dong Baozhen said: The stock market has evolved into a speculative frenzy bull market, and now the bubble is bursting. Traders noted that the decline does not have a clear single trigger factor; high prices, tax bills, and the possibility of the U.S. or other countries banning Chinese equipment from entering data centers have all had an impact. During the same period, the Nasdaq has retreated 6% from its record high three weeks ago.Goldman Sachs stated that AI stocks account for 42% of China's market value and 57% of the trading volume of mainland A-shares and Hong Kong H-shares. When the robotics company Yushu went public, retail investors oversubscribed by about 8,000 times, and since trading began in August, its stock price has fallen by about half; chip company Changxin Storage has dropped more than a quarter in the past month. Mu Xi Integrated Circuit and Moore Threads saw their stock prices rise by about 700% and 400% respectively on their first day of trading last year, but have also fallen by about half since July. Optical module companies Zhongji Xuchuang and Guangxun Technology have dropped about 60% from their June and July peaks, partly due to the U.S. moving towards banning these companies from supplying to U.S. data centers. Hainan investor Chen Wensheng said: He bought Yushu because he felt official support and that there were state-owned background funds investing, but he is currently suffering losses with friends.The STAR50 is currently still about 100 times its past earnings, having fallen from a high of nearly 250 times, with investors comparing it to the Nasdaq 100's price-to-earnings ratio of about 30 times. Hong Hao, Managing Director and Chief Investment Officer of Lotus Asset Management in Hong Kong, said: The current situation will cause many companies trying to go public to pause. Leo Wang, a partner at Beijing Qianchuang Capital, said: Overemphasizing the market capitalization weight of tech companies in major indices will create serious bubbles in certain industries and siphon off funds from other sectors. Wang Zhuo, a partner at Shanghai Zhuozhu Investment Management, said: Chip manufacturers and AI suppliers will ultimately fall into price wars like other Chinese manufacturers. HSBC Research stated that Asian funds have generally been selling over the past three months but are still overweight in China; Goldman Sachs' updated recommendation list this month includes Zhongji Xuchuang and Changxin Storage. The China Securities Regulatory Commission did not immediately respond to Reuters' inquiries; Chairman Wu Qing met with market participants earlier this month to hear suggestions for improving the capital market.

first_img Cardano founder is developing a new programming language that integrates transaction intentions with Groth16 proofs

According to CoinDesk, Cardano founder Charles Hoskinson stated that he is personally developing a new programming language for the Cardano network and collaborating with Input Output Global engineer Lucas Rosa. Lucas Rosa is a co-creator of Aiken, one of Cardano's main smart contract languages. Hoskinson posted on the X platform that this will be the first programming language to combine user transaction completion intentions with cryptographic proofs.It is reported that the language will support three tools: transaction intent, data with carry proofs, and Groth16 proofs. Transaction intent allows users to specify the goals they want to achieve, while leaving the specific steps to the application, for example, traders can request that a token be exchanged for another only when the final price meets certain conditions, without specifying the exact path.Data with carry proofs can attach cryptographic evidence to information, proving that it complies with specific rules, allowing other applications to verify without recalculating. Groth16 is a widely used proof system that can generate small-sized, fast-verifying proofs, demonstrating that conditions have been met without exposing private data.With the combination of the three, developers can build applications that coordinate transactions, check complex conditions, and pass verified information between services, ultimately verified by Cardano with a small proof. Currently, Cardano developers mainly use Haskell-based Plutus and Aiken to write smart contracts, while Input Output Global, founded by Hoskinson, has its own privacy blockchain Midnight with its language Compact. The name, public code, and release date of this new language have not yet been announced.

first_img Micron is developing a physical AI-specific edge inference memory

Micron Technology Vice President Li Zhe stated at the Korea Semiconductor Exhibition SEDEX 2026 held at COEX in Seoul that the company is developing Edge Inference Memory (EIM) for physical AI. The industry expects this product to enter mass production in the second half of 2028. Micron is researching the use of EIM in LPDDR6 to meet the demand for low-power DRAM in applications such as autonomous driving and humanoid robots, and is in discussions with major customers regarding related products.According to a report by the Science and Technology Innovation Board Daily, EIM is positioned between AI chips and memory, utilizing a method of stacking LPDDR on logic chips to process inference data at high speed, although the computing architecture has not been fully disclosed. Li Zhe mentioned that current robotic AI models have about 1 billion to 2 billion parameters, with low bandwidth requirements; however, as more advanced visual language models emerge, LPDDR alone will not suffice, and HBM will eventually be used for humanoid robots. Micron anticipates that future high-performance humanoid robots will require approximately 200 GB of DRAM and 4 TB of storage, while current service robots require about 12 GB of DRAM and 256 GB of storage.Micron CEO Sanjay Mehrotra stated that the storage capacity of a single humanoid robot is about 10 times that of an ordinary L2+ passenger vehicle. The storage industry may enter a period of sustained demand growth for several decades around 2030, driven by the need to synchronize data from hundreds of sensors and run large models locally for millisecond-level control. Counterpoint Research predicts that global DRAM demand for humanoid robots will increase from approximately 8,300 Tbit this year to about 172,000 Tbit by 2030.

Waller refused to predict the remaining interest rate decisions for the year, with the probability of an interest rate hike in October dropping to about 17%

During the IMF meeting in Bangkok, Federal Reserve Chairman Kevin Walsh stated that he would not predict the outcomes of the remaining two interest rate meetings this year and was unwilling to disclose potential actions in advance. He said, "This is a new chapter for the Federal Reserve; we no longer do this." Regarding the recent signals from colleagues indicating "no urgency to raise interest rates this month," he neither explicitly supported nor refuted them. Walsh reiterated that the Federal Reserve will achieve price stability and noted that the global economy has largely aligned with central bank expectations since the interest rate hike in September, while describing the recent actions of various central banks as a synchronized tightening of monetary policy in most regions of the world.In September, the Federal Reserve unanimously raised interest rates by 25 basis points, increasing the target range for the federal funds rate to 3.75% to 4%. At that time, most officials expected at least one more rate hike this year. Despite the core CPI rising by 0.33% month-on-month in September, marking a strong increase for the second consecutive month, and the latest producer price data also being robust, Walsh hardly mentioned this week's inflation report and did not significantly attempt to change market expectations for the October meeting. Reports indicated that during his speech, the dollar weakened, and market bets on an interest rate hike in October dropped from about 30% to around 17%.Additionally, Walsh believes that the U.S. is experiencing significant investment growth and holds an optimistic view on economic resilience and the productivity boost brought by AI, but he warned that the development path will be "very bumpy," and the short-term impact of AI on employment remains unclear. DBS Bank macro strategist Wei Liang Chang stated that Walsh reiterated that artificial intelligence will improve productivity in the medium term, which may help ease inflation expectations and alleviate concerns about the Federal Reserve's consecutive rate hikes. Saxo Markets Chief Investment Strategist Charu Chanana noted that Walsh's refusal to commit to another rate hike led to some bets on Federal Reserve rate hikes falling flat, and related comments did not help the dollar following the release of strong inflation data.

Bitcoin.com exclusive interview with Gate founder and CEO Dr. Han: Creating an integrated financial application Gate Money, reshaping the experience of capital flow

Recently, Gate founder and CEO Dr. Han accepted an exclusive interview with the cryptocurrency media Bitcoin.com, reflecting on Gate's journey from developing its underlying trading system in 2013 to becoming a platform serving over 61 million users across more than 130 countries and regions. He further elaborated on the strategic vision of the TOKEN2049 keynote speech "One Gate, Everything Money."Dr. Han stated that in the face of the long-standing barriers between traditional finance and the cryptocurrency market, users have often faced the dilemma of fragmented capital management. They not only need to frequently transfer funds between banks, brokerages, and cryptocurrency platforms but also have to keep a large amount of cash idle in bank accounts, suffering losses from inflation and lack of returns. Meanwhile, high-quality assets like stocks and gold are difficult to consume immediately due to liquidity constraints.To address this industry pain point, Gate officially launched the integrated financial application Gate Money, which consolidates fiat currency, cryptocurrency assets, gold, ETFs, and over 12,800 global stocks into a single account. Users no longer need to hold large amounts of low-yield idle cash and can allocate capital to high-quality assets with value preservation and appreciation potential. When a consumption demand arises, the system will instantly convert the corresponding assets into fiat currency for payment, keeping the funds in an investment state before consumption.
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