BABA(09988)
Search documents
市场波动降低,仍需宏观加码
Dong Zheng Qi Huo· 2025-11-30 10:15
周度报告——股指期货 市场波动降低,仍需宏观加码 本周全球股市走修复逻辑,主要国家指数均涨超 2%。中国股市 也迎来修复。但行情有三方面超预期,一是修复力度偏弱,上 证指数周度涨幅仅 1.4%,单周未能收涨与 3900 点以上;二是市 场缩量,周五市场成交跌破 18000 亿元,抄底博弈的力量较弱; 三是微盘股涨幅较大,融资余额放量,表明部分投机性资金仍 较为活跃。总体来看,近期地缘因素仍具有较大不确定性,短 期内市场观望情绪较重也属于正常变化,本轮行情是流动性推 动的牛市,在流动性退坡之际,股指或将维持窄幅震荡。建议 关注 12 月即将召开的重磅会议。 ★风险提示: 经济基本面修复不及预期,海外地缘风险加剧。 | [T走ab势le_评R级an:k] 股指:震荡 | 王培丞 高级分析师(股指) | | --- | --- | | 报告日期: 2025 年 11 月 30 日 | [Table_Analyser] 从业资格号: F03093911 [Table_Analyser] | | [★Ta一bl周e_复Su盘mm:aAry股] 修复偏弱 | 投资咨询号: Z0017305 | | 本周(11/24-11 ...
12月金股出炉,这些板块“含金量”高
证券时报· 2025-11-30 07:35
随着11月交易收官,最新一期的券商金股出炉。 从目前已披露的12月金股名单来看,电子、电力设备、医药生物、食品饮料等行业受到集中关注,国产算力、机器人、消费复苏等主题热度较高。 展望12月行情,券商普遍认为市场仍处牛市,中长期仍看好科技成长。 11月最牛金股涨超60% 回顾11月,A股市场整体呈现震荡格局,上证指数月内小幅下跌1.67%,而创业板指、科创50指数则分别下跌4.23%和6.24%。在结构性行情中,券商金股组合表现分 化明显。 Wind数据显示,11月券商推荐金股中,由华泰证券独家推荐的上海港湾单月涨幅达60.15%,成为当月表现最亮的金股;由东北证券独家推荐的蓝色光标则以45.99% 的月涨幅排名第二;华泰证券推荐的亚翔集成以43.57%的月涨幅排名第三;此外,由天风证券推荐的延江股份11月上涨37.59%,位列第四。 11月金股中,单月涨幅超20%的还包括深圳新星(华鑫证券推荐)、众生药业(东海证券推荐)、西麦食品(开源证券、方正证券推荐)等。 从券商金股组合的整体表现来看,11月券商金股收益率分化明显。在每市APP收录的40余家券商金股组合中,仅5家券商收益率为正。具体来看:国联民生证券金股 ...
AI泡沫?
GOLDEN SUN SECURITIES· 2025-11-30 06:26
证券研究报告 | 行业周报 gszqdatemark 2025 11 30 年 月 日 计算机 AI 泡沫? 算法还在革新,DeepSeekMath-V2 发布。1)11 月 27 日 DeepSeek 推 出新型数学推理模型 DeepSeekMath-V2,采用可自我验证的训练框架。该 模型基于 DeepSeek-V3.2-Exp-Base 构建,通过 LLM 验证器自动审查生成 的数学证明,并利用高难度样本持续优化性能。在 IMO 2025 和 CMO 2024 中均达到金牌水平,Putnam 2024 获 118/120 分。为了实现可自验证的数 学推理,DeepSeek 研究了如何训练一个准确且忠实的基于大型语言模型 的定理证明验证器。然后 DeepSeek 以验证器为奖励模型训练一个证明生 成器,并激励生成器在最终定稿前尽可能多地识别和解决自身证明中的问 题。2)谷歌发布的 Gemini 3 Pro 则证明了高质量训练数据对提高模型能 力的重要作用,预训练数据集是一个大规模、多样化的数据集合,涵盖了 广泛的领域和模态,后训练数据集包括不同类型的指令微调数据、强化学 习数据和人类偏好数据。Gemini ...
拆解2025最大商战:阿里效益改善,抖音暗发力,市场回不到原点
Sou Hu Cai Jing· 2025-11-30 06:00
周天财经 原创出品 在11月下旬,两份重要的财报相继出炉了。阿里和美团从数据层面公布了这场商业竞争和格局变迁的战况,当然,一句话总结,亏损情况都是较为显著 的。 阿里近期公布的Q3财报显示,中国电商集团的经调整EBITA(息税摊销前利润)从去年同期的443亿元,下降至今年的105亿元。美团Q3营收955亿元,经 营亏损141亿元,经调整净亏损为160.1亿元,去年同期经调整净利润128.29亿元。 也就是说,两家在三季度都烧掉了三百多亿资金,考虑到阿里中国电商的营收增长更大,则投入尺度更大,略多于350亿。如果从现金储备维度看,阿里 投入占现金储备占比则较为更低,显现出这场战役的非对称性。 每家公司如何对待账上现金,态度差异还是非常有趣的,比如百度和携程,千亿级别现金,几乎没有太大的烧钱项目,拼多多账上现金也几乎没怎么动 过,AI叙事没有出现。 但淘宝闪购坚定的投入意志,美团坚壁清野的迎战姿态,都凸显出另一片局部市场的活力与高压。 而到了两家财报发布的11月底,外卖到家的市场份额并没有像部分人相信的那样「补贴一停」就自动回到原点,这无疑又戳破了一些市场幻觉。 外卖的格局已经不可能回到从前,平台的战事也不会轻易 ...
全文精修版+现场高清PPT!但斌最新观点集合:谈AI时代、谈谷歌、谈纳指、谈投资感悟……
Xin Lang Cai Jing· 2025-11-30 05:21
Core Insights - The current era is characterized as the age of artificial intelligence, comparable to the time when the steam engine was invented, marking a significant investment opportunity [3][15] - Technological progress is identified as the fundamental driver of wealth growth and societal advancement, despite economic fluctuations and crises [5][16] - The investment strategy of the company has shifted towards focusing on AI-related companies, similar to past successful investments in technology [9][16] AI Era - The AI era is seen as a transformative period, with potential for significant changes in business models and consumer behavior, such as the use of AI agents for everyday tasks [12][22] - Companies like Nvidia and Google are highlighted as key players in the AI space, with substantial investments in research and development [22][23] Investment Strategy - The company has made strategic decisions to invest heavily in AI technologies, reflecting a belief that the same opportunities that existed in previous technological revolutions are present today [9][16] - The importance of long-term investment perspectives is emphasized, suggesting that successful investments require a multi-decade view [10][19] Market Trends - The Nasdaq index has shown significant growth over the past decades, with historical performance indicating that technology-driven markets tend to outperform others [5][18] - Recent trends show increased investment in companies like Google and Alibaba, indicating a shift in market sentiment towards AI and technology stocks [13][14][23] Competitive Landscape - The competitive environment in AI is described as intense, with major companies like Amazon, Google, and Microsoft investing heavily in AI technologies [22] - The potential for monopolistic structures in the AI industry is noted, with a few companies likely to dominate the market and achieve unprecedented valuations [24]
但斌:国内能对标谷歌的公司可能只有两家,一个是阿里,一个是字节,这家公司有点“落后了”
Xin Lang Cai Jing· 2025-11-30 04:41
东方港湾创始人兼董事长但斌出席并发表主旨演讲。 但斌在谈到投资谷歌时,表示我们看到今年也是有点不约而同的,大家都投资阿里巴巴,其实在国内来 说当然很多朋友是专家,我自己认为谷歌的TPU,包括它的Gemini,还有它的数据,国内能对标的公司 可能两家,一个是阿里巴巴,一个是字节,腾讯都有点落后了。唯一的如果从TPU、GPU的角度可能也 就是阿里。你可以看到这个季度很多熟悉国内市场的这些投资人都把阿里巴巴加到了(持仓)里面。 来源:新浪证券 11月28日,2025分析师大会举行,专家学者、券商基金私募掌舵人、首席分析师等齐聚一堂,共寻穿越 周期的投资真谛。 AI的竞争很可能是更加垄断的商业模式竞争,其实我们经历的互联网、移动互联网,我们看到的商业 模式越来越集中,而人工智能AI、Agent的实现很可能让全世界被几家公司所控制,他们的市值可能最 后大得不可思议,很可能英伟达市值超过十万亿美金,今天看起来不仅是英伟达(市值)会超过十万亿 美金,很可能谷歌、英伟达会比翼齐飞,达到十万亿美金。 ...
阿里夸克S1AI眼镜,缺一个“AppStore”
3 6 Ke· 2025-11-30 04:12
Core Insights - The Alibaba Quark S1 glasses are gaining significant attention in the AR and AI glasses market due to their integration of display, AI models, and voice control capabilities, allowing users to perform various tasks such as payments, music playback, and photography with a notable battery life of 7 hours [1][2] - The current market trend indicates that AR and AI glasses are becoming the second terminal product for users, alongside smartphones, suggesting a shift in consumer behavior towards adopting these devices as essential technology [2][11] - The development of a robust developer ecosystem for AR and AI glasses is hindered by the closed nature of the Android XR operating system, which is not fully open-source, making it challenging for developers to create applications [2][11] Product Features - The Quark S1 glasses feature a detachable design with a battery life of 7 hours and a standby time of 25 hours, catering to user convenience [1] - The glasses are currently integrated with Alibaba's ecosystem, including applications like Tongyi Qianwen, Amap, and NetEase Cloud Music, focusing on a closed-loop ecosystem [1] Market Dynamics - The competition in the AR and AI glasses market is intensifying, with various manufacturers vying for market share, indicating a potential for rapid growth in this sector [2][11] - The lack of a unified operating system among different AR and AI glasses manufacturers is leading to fragmentation, making it difficult for developers to create cross-compatible applications [15][17] Developer Ecosystem - The success of the Quark S1 and similar devices hinges on the establishment of a developer ecosystem, which requires a significant user base to attract developers [11] - The current absence of a dedicated App Store for the Quark S1 limits its potential user engagement and application development [1][11] Future Outlook - The introduction of new operating systems like MentraOS, which aims to provide an open-source platform for AR glasses, could potentially reshape the market by allowing more flexibility for developers and manufacturers [15][17] - The evolution of user interaction with AR and AI glasses is expected to lead to the emergence of new social applications, potentially replacing existing platforms like WeChat [12][13]
但斌称国内仅阿里字节能对标谷歌,英伟达市值或超10万亿美元
Mei Ri Jing Ji Xin Wen· 2025-11-30 02:54
#但斌称国内仅阿里字节能对标谷歌# 【但斌:AI热潮刚刚开始,国内对标谷歌的公司可能只有两家】# 但斌称英伟达市值或超10万亿美元# "今天的AI热潮不是泡沫,而是刚刚开始。"近日,在一场公开活动 上,东方港湾董事长但斌发表主题演讲时表示,英伟达的市值很可能超过10万亿美元。不仅如此,谷歌 很可能与英伟达并驾齐驱,共同达到这一量级。"我认为,谷歌的TPU,包括它的Gemini,还有它的数 据,国内能对标的公司我觉得可能有两家,一个是阿里巴巴,一个是字节,甚至腾讯都可能有点落后 了。所以说,你可以看到这个季度很多国内市场的投资人,都把阿里巴巴加到了持仓里面。"但斌说。 (智通财经,泽塔) ho 零节瞬间 4 下载 日. 1.91 ITTITTENTL T 6 @每日经济新闻 ...
阿里巴巴蔡崇信最新港大演讲:中国AI有四张底牌,美国的AI规则是错的,为什么开源一定会赢?
美股IPO· 2025-11-30 02:07
Core Insights - Alibaba's transformation secret lies in focusing on user needs and cultivating core businesses independently without relying on acquisitions [3][8] - China's AI strategy prioritizes penetration rate over model performance, aiming for a 90% penetration rate of AI agents and devices by 2030 [3] - China has three major advantages in AI: 40% lower electricity costs, 60% lower data center construction costs, and the world's largest STEM talent pool [3][4][5][6] Group 1: China's AI Advantages - Electricity costs in China are 40% lower than in the U.S. due to significant investments in power transmission infrastructure over the past 15 years [4] - The cost of building a data center in China is 60% lower than in the U.S., excluding chip costs [5] - Nearly half of the global AI talent has a Chinese educational background, providing a unique advantage in the AI field [6] Group 2: Open Source vs. Closed Source - Open-source models are expected to outperform closed-source models due to cost-effectiveness, data sovereignty, and privacy concerns [7] - Alibaba's revenue model is based on cloud services rather than AI model fees, leveraging open-source models as a traffic entry point [7] Group 3: Alibaba's Evolution - Alibaba's evolution from a B2B e-commerce platform to an AI cloud computing company is driven by customer demand [8] - The company emphasizes organic growth over acquisitions, fostering a culture that aligns with its core values [8] Group 4: Skills for the Future - Young individuals should focus on three core skills: knowledge acquisition, analytical thinking, and the ability to ask the right questions [9] - Learning programming is still important, not for operating machines, but for developing critical thinking processes [9] Group 5: Career Directions - Recommended fields for future professionals include data science, psychology and biology, and materials science, reflecting the growing importance of data management and innovation in semiconductors [10] Group 6: AI Market Perspectives - There may be a financial bubble in AI, but the underlying technology is real and will not disappear, similar to the internet post-2000 bubble [13] Group 7: Cultural Exchange through Sports - Investment in sports, such as the Brooklyn Nets, is seen as a means of cultural exchange, promoting interaction between Chinese students and American high school students [14]
观察|“外卖大战”两个季度三巨头烧钱近800亿元,能否带来良性竞争
Xin Lang Cai Jing· 2025-11-30 01:17
Group 1 - The core point of the article highlights the significant financial losses reported by the three major players in the food delivery industry, namely Meituan, Alibaba, and JD.com, due to intense competition and high marketing expenditures [2][3][4] - Meituan reported a record net loss of 16 billion yuan in Q3, marking its largest loss since its IPO, compared to a profit of 12.8 billion yuan in the same period last year [2] - Alibaba's net profit for the same quarter fell by 52% to 20.99 billion yuan, while JD.com saw a 55% decline in net profit to 5.3 billion yuan [2][3] Group 2 - The marketing expenses for Meituan surged by 90.9% to 34.3 billion yuan in Q3, primarily due to increased spending on promotions and user incentives in response to fierce competition [3] - JD.com's marketing expenses rose by 110.5% to 21.1 billion yuan, with a significant portion allocated to its new food delivery business [3] - Alibaba's sales and marketing expenses reached 66.5 billion yuan, up from 32.5 billion yuan year-on-year, indicating substantial investment in its e-commerce operations [3] Group 3 - The total expenditure on food delivery by the three companies in Q2 and Q3 is estimated to exceed 74.4 billion yuan, with Q3 alone accounting for 44.4 billion yuan, reflecting a 48% increase in spending [4] - Despite the high expenditures, the competitive landscape remains challenging, with companies like Alibaba indicating a potential reduction in spending in the upcoming quarters [4][5] - Meituan's CEO expressed that while losses may have peaked, the company will continue to invest to maintain its market leadership without engaging in price wars [2][4] Group 4 - The intense competition has led to a situation where merchants experience increased order volumes but decreased actual revenue, indicating a "growth without profit" scenario [7] - The average daily order volume for merchants increased by 7%, but their actual revenue declined by approximately 4%, highlighting the adverse effects of the subsidy wars [7] - The ongoing subsidy competition has raised concerns about market saturation and the sustainability of such aggressive pricing strategies in the long term [9]