（来源：中国宁波网） 转自：中国宁波网 八工自能t米化 里辰侯坐 (排名不分先后) 传播大模型 传播大脑科技(浙江)股份有限公司 "传播大模型"为传播大脑科技公司自研的媒体 行业大模型,基于开源技术与媒体自有高质量 内容数据训练,提供智能对话、创作、检索等5 大类100余项深度定制能力,核心优势在于针对 媒体场景的深度适配、多模态融合生成及全流 程可控可信的内容安全保障。 智云文化大模型 浙江华策影视股份有限公司 国色大模型为华策影视自研的(基于Deepseek 模型开发的)影视行业大模型,具备影视内容 识别、剪辑制作和多语种译制能力,服务于影 视内容制作和国际传媒领域,主要应用于华语 影视剧内容(主要是短视频)的海外传播场景, 具有舆论属性和社会动员能力。 BlackEye多模态视听大模型 杭州当虹科技股份有限公司 BlackEye多模态视听大模型基于通义千问、 Deepseek等基础模型,针对传媒、工业、座 好感必见 我职儿园求人共共同华米书馆 肥 守 生 大 初 京 匹 1 J 音视频、空间信息等的生成算法、压缩算法、 感知算法,支持全国产化的软硬件适配,可服 务于广电传媒、工业、卫星通信、具身智能、 ...

每经头条（nbdtoutiao）——"一周干完一年的活"，一款AI编程工具让硅谷程序员集体"上瘾"！科技公 司CEO：一辈子钻研的技能被它一次性解决，让人兴奋又恐惧 （记者 曾健辉） 每经AI快讯，利欧股份1月20日晚间发布公告称，公司股票自2025年12月31日至2026年1月15日连续10 个交易日收盘价涨幅较大，显著偏离大盘指数。目前，公司基本面未发生重大变化，公司股价存在市场 情绪过热、交易风险较大的情形。敬请广大投资者务必充分了解二级市场交易风险，理性决策，审慎投 资。公司董事会确认，公司目前没有任何根据《深圳证券交易所股票上市规则》等有关规定应予以披露 而未披露的事项或与该事项有关的筹划、商谈、意向、协议等；董事会也未获悉本公司有根据《深圳证 券交易所股票上市规则》等有关规定应予以披露而未披露的、对本公司股票交易价格产生较大影响的信 息。停牌期间，公司就股价波动的相关事项进行了核查。鉴于相关自查工作已完成，经公司申请，公司 股票将于2026年1月21日（星期三）开市起复牌。 ...

Summary of Key Points Core Viewpoint - On January 20, a total of 47 stocks were involved with institutional investors, with 25 showing net buying and 22 showing net selling. Group 1: Institutional Net Buying - The top three stocks with the highest net buying by institutions were Vision China, Cangzhou Dahua, and Hunan Silver, with net buying amounts of 112.25 million, 104.37 million, and 80.83 million respectively [1][2]. - Vision China experienced a price drop of 5.77% on the day, while Cangzhou Dahua and Hunan Silver both saw price increases of 10.00% and 10.03% respectively [2]. Group 2: Institutional Net Selling - The top three stocks with the highest net selling by institutions were Boqian New Materials, Sanwei Communication, and Tongfu Microelectronics, with net outflows of 294.30 million, 193.60 million, and 116.59 million respectively [1][4]. - Boqian New Materials had a price increase of 6.77%, while Sanwei Communication and Tongfu Microelectronics experienced price drops of 9.98% and 5.85% respectively [4].

Core Insights - The article discusses the rapid technological advancements and the resulting societal shifts, emphasizing the generational differences in perceptions and experiences of these changes [3][4][5]. Group 1: Technological Advancements - The pace of technological progress, particularly in AI, quantum computing, and robotics, is described as unprecedented, leading to a sense of urgency and excitement in the tech community [7][8]. - There is a belief that while technology creates new job opportunities, it also generates anxiety about job displacement, particularly among white-collar workers [9][10]. - The article highlights the need for individuals to adapt to changing skill requirements as AI reshapes job roles and workflows [10][11]. Group 2: Societal Concerns and Consumer Behavior - The concept of "谷子经济" (Guzi Economy) is introduced, reflecting a trend where consumer behavior is influenced by emotional connections to products and characters, rather than just technological advancements [19][20]. - The phenomenon of "Labubu" is discussed as a case study of consumer excitement driven by social media, illustrating how ordinary people engage with new trends [15][16]. - The article notes that despite the rapid advancement of AI, many consumers still seek tangible, physical products that provide emotional comfort and connection [20][21]. Group 3: Generational Perspectives - Younger generations, referred to as "digital natives," exhibit a natural acceptance of AI and are more focused on how to utilize it effectively in their lives [35][36]. - There is a notable concern among youth regarding global issues such as climate change, indicating a heightened awareness and engagement with societal challenges [42][44]. - The article suggests that maintaining curiosity and a desire to explore the world will be crucial for the younger generation as they navigate an uncertain future [49][50]. Group 4: Governance and Power Dynamics - The article discusses the shifting power dynamics between traditional nation-states and large tech companies, which are increasingly exercising authority typically reserved for governments [24][25]. - It highlights the need for new governance mechanisms to address the challenges posed by technological advancements and the emergence of a "cloud empire" [26][27]. - The implications of AI on political processes and public discourse are examined, emphasizing the potential for technology to influence societal norms and values [26][27].

Report Industry Investment Rating No information provided in the content. Core Viewpoints - The secondary - market trends of industrial bond sub - industries show a divergence in the correlation between primary and secondary markets. This divergence may be due to differences in supply among industries and differences in bond liquidity and trading popularity within each industry. If an industry has many issuing entities with strong willingness and ability to issue bonds and is in a good development trend, the probability of a synchronous resonance relationship between primary - market supply and secondary - market demand is relatively high, which can improve the accuracy of judging trading signals of narrowing spreads from daily net financing [1][14]. - Most industries have trading signals transmitted from primary - market supply to secondary - market demand, including comprehensive, non - ferrous metals, and others. Some industries show a stronger negative correlation between primary - market supply and secondary - market demand, such as comprehensive and non - ferrous metals. Some industries have a weak correlation between daily net financing and daily spreads, including communication and food and beverage [2][4]. Summary by Directory 1. Industrial Bond Sub - industries Show Divergence in Primary - Secondary Market Trend Correlation - **Research Method**: Classify industrial bond issuers by Shenwan primary industries, calculate the daily net financing and daily credit spreads of each sub - industry from January 1, 2025, to December 19, 2025, to observe the correlation between primary - market supply and secondary - market demand [12]. - **Divergence Performance**: Most industries have trading signals transmitted from primary - market supply to secondary - market demand, while some do not show this feature significantly [13]. - **Reasons for Divergence**: Differences in supply among industries are related to the number, size, and life - cycle stage of issuing entities. Differences in bond liquidity and trading popularity within industries are related to the scale of outstanding bonds, valuation levels, and event catalysts [14]. 1.1. Industries with Obvious Correlation - **Comprehensive Industry**: From January to March 2025, daily net financing decreased and daily spreads increased; from March to June, daily net financing increased and daily spreads decreased; from June to December, both were in a low - level oscillation [21]. - **Non - ferrous Metals Industry**: From January to July 2025, daily net financing increased and daily spreads decreased; from July to September, daily net financing decreased and daily spreads increased; from October to December, both were in a low - level oscillation [25]. - **Other Industries**: Similar analysis is conducted for industries such as pharmaceutical biology, social services, and others, with different trends in different time intervals [27][30][32]. - **Common Features**: These industries generally have a large scale of outstanding bonds and high institutional investor attention, which is conducive to the transmission of primary - market supply changes to secondary - market spread changes [3][87]. 1.2. Industries with General Correlation - **Industries Included**: Communication, food and beverage, and other industries have a weak correlation between daily net financing and daily spreads, and the linkage and transmission between primary - and secondary - market indicators are relatively weak [4][13]. - **Reasons**: These industries have low participation in the bond market, and their secondary - market trading demand is more affected by overall bond - market trends, industry risk premiums, and liquidity premiums. Different types of industries have specific reasons for the weak correlation [4][90][91].

Core Viewpoint - A total of 844 stocks reported their latest shareholder numbers as of January 10, with 331 stocks showing a decline compared to the previous period, indicating a trend of decreasing shareholder engagement in certain companies [1][3]. Group 1: Shareholder Numbers - 844 companies disclosed their shareholder numbers as of January 10, with 331 showing a decrease compared to December 31 [3]. - Among the stocks with a decline in shareholder numbers, 23 stocks experienced a drop of over 10% [3]. - The stock with the largest decline in shareholder numbers was Yaxiang Integration, which saw a decrease of 23.48% to 19,134 shareholders [3]. - Yidian Tianxia also reported a significant decline of 23.09%, with 71,862 shareholders [3]. Group 2: Stock Performance - The average increase for concentrated stocks since December 21 was 7.79%, outperforming the Shanghai Composite Index, which rose by 5.74% [2]. - 55% of concentrated stocks achieved excess returns relative to the market [2]. - Huazheng New Materials had the highest increase among stocks with a decline in shareholder numbers, rising by 59.72% since December 21 [2]. Group 3: Industry Insights - The concentrated stocks are primarily found in the machinery, basic chemicals, and automotive sectors, with 35, 33, and 28 stocks respectively [3]. - The latest concentrated stock performance shows significant gains, with notable increases from Yidian Tianxia (60.64%), Jingce Electronics (58.17%), and Yaxiang Integration (52.48%) [3].

Core Insights - The A-share market has seen a significant increase in financing transaction activity, with the financing balance reaching 2.68 trillion yuan, a new historical record, and financing transaction volume accounting for 11.3% of total market transactions as of January 14 [1][4]. Financing Margin Adjustment - On January 14, the Shanghai and Shenzhen Stock Exchanges announced an adjustment to the financing margin ratio, increasing the minimum margin requirement for investors from 80% to 100% when buying securities on margin [1][4]. - This adjustment is a key tool for regulatory authorities to conduct counter-cyclical adjustments, aimed at preventing excessive accumulation of systemic risks [2][5]. - Historical adjustments include a previous increase from 50% to 100% in November 2015 to curb rapid financing growth and a decrease from 100% to 80% in August 2023 to enhance market liquidity [1][2][4]. Impact on Market Dynamics - The core objective of raising the margin requirement is to maintain stable capital market operations and prevent excessive concentration of leveraged trading risks, reducing the leverage from 1.25 times to 1 time for new financing contracts [2][5]. - The policy will only apply to new financing contracts, while existing contracts will continue under the previous rules, reflecting a cautious regulatory approach to mitigate market impact and systemic risks [2][5]. Market Outlook - Short-term regulatory measures may not alter the upward trend of the market, with underlying support for continued market growth expected amidst fluctuations [2][5]. - Investment focus should be on policy initiatives and industry prosperity, particularly in technology growth sectors such as semiconductors, internet, electronics, media, and computing, as well as globally competitive sectors like power and machinery [2][5]. - Non-bank financial sectors are likely to benefit from increased demand for wealth management and capital market reforms, while cyclical sectors like tourism, hospitality, and consumer goods may present marginal improvement opportunities due to expanding domestic demand policies [2][5].

Core Viewpoint - The A-share market has reached a historic milestone with the number of stocks closing above 100 yuan reaching 222, marking a new high in history, predominantly driven by technology companies, except for Kweichow Moutai [1][6]. Group 1: Distribution of Hundred Yuan Stocks - The electronic industry leads with 79 stocks, accounting for 35.59% of the total hundred yuan stocks. The machinery equipment industry has 26 stocks (11.71%), and the computer industry has 24 stocks (10.81%) [6]. Group 2: Top Ten Hundred Yuan Stocks - The top three stocks are: 1. Cambricon (寒武纪-U) with a closing price of 1419.66 yuan and a 2025 increase of 106.01% [3]. 2. Kweichow Moutai (贵州茅台) at 1376.00 yuan with a decrease of 6.29% [3]. 3. Source Code Technology (源杰科技) at 748.29 yuan with a remarkable increase of 379.34% [4]. Group 3: Market Trends and Future Outlook - The overall rise in the A-share market has led to a significant increase in the average stock price level, with the number of hundred yuan stocks surpassing 200 as of January 19, 2026 [6]. - Experts predict that the hundred yuan stock group will continue to expand due to ongoing trends in the technology industry and sustained inflow of long-term capital, although structural differentiation is expected to become more pronounced [6].

Market Overview - The three major indices experienced a decline, with the Shenzhen Component Index dropping over 1% and the ChiNext Index falling over 2% during early trading on January 20 [1] - By midday, the Shanghai Composite Index decreased by 0.3%, the Shenzhen Component Index fell by 1.22%, and the ChiNext Index dropped by 1.83% [1] - The total trading volume in the Shanghai and Shenzhen markets reached 1.85 trillion yuan, an increase of 568 billion yuan compared to the previous trading day [1] Index Performance - Shanghai Composite Index: 4101.62, down 0.30%, with 931 gainers and 1330 losers [2] - Shenzhen Component Index: 14119.95, down 1.22%, with 916 gainers and 1916 losers [2] - ChiNext Index: 3276.64, down 1.83%, with 358 gainers and 1012 losers [2] - The North Star 50 Index: 1520.27, down 1.83% [2] Sector Performance - The chemical sector showed resilience, with stocks like Hongbaoli, Shandong Heda, Hongbai New Materials, Weiyuan Co., and Hongqiang Co. hitting the daily limit [2] - The real estate sector was active, with stocks such as Dayue City, I Love My Home, and City Investment Holdings also reaching the daily limit [2] - AI application stocks saw gains, with companies like Jiayun Technology, Yue Media, Zhejiang Wenhu, and Tiandi Online hitting the daily limit [3] - The storage chip concept remained active, with stocks like Purun Co. and Baiwei Storage reaching new highs [3] - The commercial aerospace sector faced significant declines, with companies like Hualing Cable and Aerospace Power hitting the daily limit [3]

Market Overview - The Shanghai Composite Index fell by 0.73% as of 10:27 AM, with a trading volume of 783.95 million shares and a transaction value of 1,378.36 billion yuan, an increase of 0.13% compared to the previous trading day [1] Industry Performance - Real estate, oil and petrochemicals, and beauty care sectors showed the highest gains, with increases of 0.86%, 0.72%, and 0.70% respectively [1] - The defense and military, comprehensive, and communication sectors experienced the largest declines, with decreases of 3.41%, 3.19%, and 3.06% respectively [1][2] Leading Stocks - In the real estate sector, Chengdu Investment Holdings led with a gain of 10.11% [1] - In the oil and petrochemical sector, Blue Flame Holdings increased by 2.86% [1] - In the beauty care sector, Yanjiang Co. rose by 9.34% [1] Detailed Industry Data - Real Estate: 0.86% increase, transaction value of 189.40 billion yuan, up 20.93% from the previous day [1] - Oil and Petrochemicals: 0.72% increase, transaction value of 80.28 billion yuan, up 26.01% from the previous day [1] - Beauty Care: 0.70% increase, transaction value of 35.84 billion yuan, up 11.01% from the previous day [1] - Defense and Military: 3.41% decrease, transaction value of 883.06 million yuan, up 45.81% from the previous day [2] - Communication: 3.06% decrease, transaction value of 754.04 million yuan, up 0.40% from the previous day [2]