智通财经APP讯，智谱(02513)发布公告，该公司于2026年2月9日因超额配股权获悉数行使而发行及配发 561.29万股H股股份。 ...

来源：格隆汇APP 格隆汇2月9日｜港股三大指数集体上涨，恒生指数涨1.76%重回27000点上方，国企指数、恒生科技指 数分别上涨1.52%及1.34%。上周五美股大涨，以及金银等大宗商品止跌回升，市场情绪转好。 具体盘面上，大型科技股、大金融股(保险、券商)等权重多数活跃带领大市走俏，其中百度盘中涨幅约 4%，中国平安涨近5%领衔内险股上涨；马斯克表示3年内太空会是部署AI最便宜的地方，智谱一度飙 升超40%领衔AI应用概念股，且股价创上市新高，金山云、迈富时、美图公司皆走强；国泰海通指关注 企稳后的有色金属布局机会，黄金股带领有色金属股齐涨；半导体股、风电股、重型机械股、濠赌股、 煤炭股、餐饮股、内房股等纷纷上涨。 另一方面，三大运营商逆市受压，中国电信跌近3%，上周五拉升的茶饮料概念股多股走低，美伊谈判 重启，油价震荡波动，三桶油皆有跌幅。此外，澜起科技上市首日大涨近64%。(格隆汇) ...

Market Performance - The Hong Kong stock market experienced a "short squeeze" rally, with the Hang Seng Index rising by 1.76% to close at 27,027.16 points, the Hang Seng Tech Index up 1.34% to 5,417.6 points, and the China Enterprises Index increasing by 1.52% to 9,168.33 points [1] - Major tech stocks showed strength, with Alibaba up 1.87%, Tencent Holdings up 2.28%, and JD Group up 0.94%, while Meituan and Kuaishou saw declines of 0.38% and 2.74% respectively [1] Sector Insights AI and Data Infrastructure - Real-time data infrastructure provider Zhixun (03317) surged nearly 17%, driven by its AI-based data operating system reshaping decision-making processes in finance, energy, and high-end manufacturing [2] - AI application stocks saw significant gains, with Zhizhu (02513) soaring over 36% and MINIMAX-WP rising over 11% [1][2] Resources and Energy - CGN Mining (01164) rose over 8% due to supply-demand gap dynamics, with global uranium supply shortages expected to rely on production recovery projects [2] - Rare earth permanent magnet stocks strengthened, with Jintai Permanent Magnet (06680) increasing by 4.72% as praseodymium and neodymium oxide prices surged to 805,000 yuan per ton [2] Robotics and Advanced Manufacturing - Leading global robotics company Woan Robotics (06600) jumped nearly 12%, expected to dominate the household robotics market in 2024 [2] Consumer and Entertainment - Pop Mart (09992) rose by 5%, driven by IP and new product launches, while Xindong Company (02400) saw a 4.23% increase due to strong performance from its "My Little Pony" IP [3] Blue Chips and General Knowledge - HSBC Holdings (00005) reached a new historical high, increasing by 3.34%, with a projected synergy effect of $800-900 million post-privatization of Hang Seng Bank [3] - Optical communication stocks collectively surged, supported by significant capital expenditure plans from tech giants like Meta and Microsoft [3] Analyst Insights - Analysts suggest a shift in Hong Kong's investment logic from traditional valuation recovery to a focus on "new productive forces" and high-quality development [4] - The Hang Seng Index's price-to-earnings ratio (12x) and the Hang Seng Tech Index's valuation at the 19th percentile historically make them attractive to southbound capital [4] Investment Strategy - Recommendations include a "growth + value" strategy focusing on the AI industry chain, non-ferrous metals, and insurance sectors [5] - Morgan Stanley emphasizes caution in identifying ultimate winners in the AI wave, suggesting that companies like Alibaba and Baidu are more likely to be "secondary winners" [5]

翌日披露報表 (股份發行人 ── 已發行股份或庫存股份變動、股份購回及/或在場内出售庫存股份) 表格類別： 股票 狀態： 新提交 公司名稱： 北京智譜華章科技股份有限公司 呈交日期： 2026年2月9日 如上市發行人的已發行股份或庫存股份出現變動而須根據《香港聯合交易所有限公司（「香港聯交所」）證券上市規則》(「《主板上市規則》」)第13.25A條 / 《香港聯合交易所有限公司GEM證券 上市規則》(「《GEM上市規則》」)第17.27A條作出披露，必須填妥第一章節 。 FF305 | 第一章節 | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | 1. 股份分類 普通股 | 股份類別 | H | | 於香港聯交所上市 | 是 | | | | 證券代號 (如上市) 02513 | 說明 | H股 | | | | | | | A. 已發行股份或庫存股份變動 | | | | | | | | | | | 已發行股份（不包括庫存股份）變動 | | 庫存股份變動 | | | | | 事件 | 已發行股份（不包括庫存股份）數 目 | 佔有關 ...

Core Insights - The stock of Zhipu (2513.HK), referred to as the "first global large model stock," surged by 41.63% to reach 287.8 HKD, marking a new high since its listing, with a market capitalization approaching 130 billion HKD [1] - Multiple domestic large model companies, including DeepSeek and Zhipu, are reportedly planning to release new generation models around the Lunar New Year [1] - OpenRouter launched an anonymous model called "Pony Alpha," which has gained attention for its strong coding capabilities and deep optimization for intelligent agent workflows [1] Group 1 - Pony Alpha is described as a "cutting-edge foundational model" with strong performance in programming, intelligent agent workflows, reasoning, and role-playing, particularly noted for its "extremely high tool invocation accuracy" [1] - The model's capabilities suggest significant advantages in AI Agent applications, allowing developers to utilize tools like Claude Code for complex project development lasting several hours [1] - Community tests showed that developers used Pony Alpha with Claude Code to generate 170KB of pure JavaScript code for a MineCraft project in about 2 hours, with output quality rated as "beyond expectations" [2] Group 2 - Pony Alpha's introduction coincides with the impending explosion of AI Agent applications, indicating that its practical applications will likely lead to a much higher token consumption compared to conversational models [2] - This anticipated increase in demand for AI capabilities is expected to create growth opportunities for upstream AI chip and storage sectors within the semiconductor industry [2]

Core Insights - The report from Guolian Minsheng Securities highlights the evolution of large models from "chat tools" to "autonomous employees" in the Agent era, suggesting that companies mastering core algorithms and industry interfaces will benefit significantly from the rise of intelligent automation [1] Group 1: Market Trends - As of February 2, 2026, Clawdbot has surpassed 130,000 stars on GitHub and its official website has over 2 million visits, making it one of the fastest-growing open-source technology projects recently [1] - The emergence of "AI-only communities" like Moltbook, which quickly amassed a million agent accounts, indicates a natural increase in request density and API triggers, leading to a significant rise in API call frequency and token throughput [1] Group 2: Model Cost Efficiency - The importance of unit cost for models is increasing, as complex tasks often require multiple stages of interaction, leading to a significant increase in model call frequency and context complexity [2] - Agent services designed for complex tasks may consume up to ten times more tokens compared to basic chat interactions, making the "unit cost × unit output" a critical factor for scalability [2] Group 3: Model Features - The M2.1 model from MiniMax aims to address the high token cost in automated programming, with a pricing structure approximately 8% of that of Claude Sonnet, and introduces a high-frequency refresh mechanism for productivity in heavy development scenarios [3] - M2.1's long text capability allows it to handle ongoing context, accommodating longer documents and reducing logical breaks due to truncation [4] - The model's reasoning and programming capabilities make it suitable for production systems, emphasizing the importance of cost-effectiveness in high-frequency applications [5] Group 4: Multi-Modal Capabilities - As agents enter office and production environments, inputs are increasingly derived from visual information such as screenshots, PDFs, and tables, rather than just text [6] - MiniMax's multi-modal capabilities enhance the agent's ability to understand interfaces, extract key information, and execute steps or code, facilitating "visual-driven automation" [7]

Core Insights - The report from Guolian Minsheng Securities highlights the evolution of large models from "chat tools" to "autonomous employees," indicating that companies mastering core algorithms and industry interfaces are poised to benefit significantly from the intelligence-driven era [1] Group 1: Market Trends - As of February 2, 2026, Clawdbot has surpassed 130,000 stars on GitHub and its official website has accumulated over 2 million visits, making it one of the fastest-growing open-source technology projects recently [1] - The emergence of "AI-only communities" like Moltbook, which quickly amassed a million agent accounts, indicates a natural increase in request density and API triggers, leading to a significant rise in API call frequency and token throughput [1] Group 2: Model Cost Efficiency - The importance of unit cost for models is increasing, as complex tasks require multiple stages of interaction, leading to a significant increase in model call frequency and complexity [2] - The "unit cost of the model × unit output" becomes critical for the scalability of agent products, as multi-round reasoning and tool collaboration can linearly amplify costs [2] Group 3: Model Features - The M2.1 model from MiniMax aims to address the high token cost pain points faced by developers in automated programming, with a pricing structure approximately 8% of Claude Sonnet's [3] - The innovative "5-hour reset quota" mechanism allows for high-frequency productivity in heavy development scenarios, breaking away from traditional daily or monthly limits [3] Group 4: Long Text Capability - M2.1's long text capability is designed for real-world workflows, allowing it to handle continuous context, including tool calls, historical information, and constraints, thus reducing logical breaks due to truncation [4] Group 5: Reasoning and Programming Skills - In products like Clawdbot, the model is utilized for coding, code modification, judgment, and validation, with M2.1 being a cost-effective choice for production systems and high-frequency calls [5] - The ability to convert strong capabilities into frequently usable productivity at a lower cost is identified as MiniMax's competitive advantage [5] Group 6: Multi-Modal and Visual Execution - As agents enter office and production environments, inputs are increasingly derived from visual information such as screenshots, PDFs, tables, and charts, rather than solely from text [6] - MiniMax's multi-modal capabilities enhance agents' understanding of interfaces, enabling them to extract key information and output executable steps or code, thus facilitating "visual-driven automation" [7]

Core Viewpoint - The report from Guolian Minsheng Securities highlights the evolution of large models from "chat tools" to "autonomous workers," indicating that companies mastering core algorithms and industry interfaces are likely to benefit significantly from the rise of intelligent automation [1] Group 1: Market Trends - As of February 2, 2026, Clawdbot has surpassed 130,000 stars on GitHub and its official website has accumulated over 2 million visits, making it one of the fastest-growing open-source technology projects recently [1] - The emergence of "AI-only communities" like Moltbook, which quickly gathered a million agent accounts, indicates a higher request density and more frequent API triggers, leading to a significant increase in API call frequency and token throughput [1] Group 2: Model Cost Efficiency - The importance of unit cost for models is increasing, as complex tasks require multiple stages of interaction, leading to a significant rise in model call frequency and complexity [2] - The "unit cost × unit output" metric is critical for the scalability of agent products, as multi-round reasoning and tool collaboration can exponentially increase costs [2] Group 3: Model Features - The M2.1 model aims to address the high token cost faced by developers in automated programming, with a pricing structure approximately 8% of that of Claude Sonnet [3] - M2.1's long text capability allows it to handle "continuous memory," accommodating longer documents and more intermediate results, thus reducing logical breaks due to truncation [4] - M2.1 is designed for tasks involving code writing, modification, judgment, and validation, making it a cost-effective choice for production systems with high-frequency calls [5] Group 4: Multi-Modal Capabilities - In the agent era, inputs are increasingly derived from visual information such as screenshots, PDFs, tables, and charts, rather than just text [6] - MiniMax's multi-modal capabilities enhance the agent's ability to understand interfaces, extract key information, and output executable steps or code, facilitating "visual-driven automation" [7]

Market Overview - The A-share market saw a strong opening with the Shanghai Composite Index rising over 1% and the Shenzhen Component Index increasing by more than 2% [1] - The total trading volume in the Shanghai and Shenzhen markets reached 2.25 trillion yuan, an increase of 103.8 billion yuan compared to the previous trading day, with over 4,600 stocks rising [1] AI Sector Performance - The AI application sector experienced a significant surge, with multiple stocks hitting the daily limit, including 360 (601360), Ingravity Media (603598), Rongxin Culture (301231), and others [1] - The launch of new AI models by companies such as Keling AI and ByteDance indicates rapid advancements in video generation technology, marking a breakthrough in the multi-modal field [3] Semiconductor and Related Industries - The semiconductor sector showed strong performance, with stocks like Juguang Technology rising over 17% and Chipone Technology increasing nearly 15% [4] - The overall trend in the semiconductor industry reflects a growing interest and investment in technology, particularly in AI and related applications [4] Precious Metals and Communication Services - The precious metals sector saw a short-term rally, with Hunan Silver (002716) hitting the daily limit and other related stocks following suit, as gold and silver prices increased [4] - The communication services sector also experienced gains, with stocks like Guanghuan New Network (300383) rising over 10% [4] Individual Stock Highlights - Shanshan Holdings (600884) achieved a limit-up on the opening day, marking its second consecutive limit-up, following the announcement of a restructuring investment agreement [5] - In the Hong Kong market, the Hang Seng Index and Hang Seng Technology Index both rose over 1%, with semiconductor and AI stocks performing well [5] - Pop Mart's stock price reached a new high since October 2025, with significant growth in global employee numbers and registered members [5]

【导读】全线暴涨，一起找找原因！ 中国基金报记者 泰勒 兄弟姐妹们啊，今天亚洲时段，风险资产全线暴涨，A股、日韩股市、黄金、白银价格都在上涨，就连大幅溢价的白银基金，也在跌停板上直线拉 涨，相信大家今天都挣钱了吧！ 一起看看发生了什么事情。 日韩暴涨 中国资产暴涨 2月9日，A股、港股全线大涨。市场全天高开高走，沪指涨超1%，重返4100点上方，截至收盘，沪指涨1.41%，深成指涨2.17%，创业板指涨 2.98%。 港股方面，三大指数均涨近2%。 2月9日，MSCI亚太指数一度上涨2.4%，刷新历史最高点；被视为AI投资"风向标"的韩国KOSPI指数上涨4.1%。日经225指数在高市早苗赢得大选 后，一度大涨5.7%并创纪录新高。这一切发生在美股上周五大约反弹2%之后，帮助市场收复了部分当周跌幅。 黄金、白银也继续走高。 分析师表示："这次反弹，与其说是在追逐风险，不如说是在对冲不确定性消退后的回补。上周五美国市场的表现强劲，日本和泰国更清晰的政治 结果也帮助稳定了情绪。如果全球波动继续缓和，亚洲看起来更占优势。" 东方汇理财富管理亚洲首席策略师Francis Tan也表示："国际投资者正在花时间重新思考并 ...