12月29日，拉卡拉涨5.25%，截至发稿，报24.86元/股，成交10.09亿元，换手率5.65%，总市值193.08亿 元。 资料显示，拉卡拉支付股份有限公司位于北京市海淀区北清路中关村壹号D1座6层606,香港铜锣湾勿地 臣街1号时代广场2座31楼，成立日期2005年1月6日，上市日期2019年4月25日，公司主营业务涉及为实 体小微企业提供收单服务和为个人用户提供个人支付服务,此外拉卡拉还以积累的丰富第三方支付运营 经验,向客户提供第三方支付增值服务。主营业务收入构成为：支付业务100.00%。 华宝中证金融科技主题ETF（159851）基金经理为陈建华、曹旭辰。 截至发稿，陈建华累计任职时间13年11天，现任基金资产总规模277.02亿元，任职期间最佳基金回报 177.41%， 任职期间最差基金回报-49.65%。 从拉卡拉十大流通股东角度 数据显示，华宝基金旗下1只基金位居拉卡拉十大流通股东。华宝中证金融科技主题ETF（159851）三 季度增持446.12万股，持有股数923.18万股，占流通股的比例为1.26%。根据测算，今日浮盈赚取约 1144.74万元。 华宝中证金融科技主题ETF（159 ...

Core Viewpoint - Ant Group's AI health application "Ant Aifu" has responded to recent market criticisms regarding potential advertising recommendations and commercial rankings, asserting that its health Q&A content is free from advertising and commercial influences [1][3]. Group 1: Product Overview - Ant Aifu, a core component of Ant Group's "Health+" strategy, was officially launched on December 15 after upgrading from the previous AI health application AQ, shifting its focus from an "AI tool" to an "AI health companion" [3]. - The application offers three main functions: health companionship, health Q&A, and health services [3]. - Ant Aifu has achieved significant visibility through extensive marketing campaigns, including partnerships with well-known hosts and advertisements across various platforms, ranking third in the Apple App Store's free applications list [3]. Group 2: User Engagement and Market Position - Ant Aifu processes over 5 million health inquiries daily and has surpassed 15 million monthly active users, with 55% of users coming from third-tier cities and below [5]. - The application aims to bridge the gap between daily health management and hospital treatment, reflecting a shift in public health awareness towards prevention and health promotion [5]. Group 3: Business Strategy and Challenges - Ant Group's primary business revolves around digital payments and financial services, with Ant Aifu expected to enhance its health service offerings by integrating AI models for online consultations and medication delivery [5]. - Ant Aifu seeks to differentiate itself from general AI tools by emphasizing its expertise in health, although retaining user engagement may prove challenging as novelty wears off [5]. - The handling of extensive health data raises concerns regarding data security and privacy, especially given Ant Group's sensitivity to data in the financial sector [5].

近日，中国企业改革与发展研究会（中企研）2025（第九届）中国企业改革发展优秀成果申报审定发布 活动候选名单正式公布，中国电信翼支付与行业权威咨询机构联合申报的《数智科技型企业的改革创新 发展路径》改革案例在716项申报成果中脱颖而出，荣获"中国企业改革发展优秀成果"一等奖。 中国企业改革与发展研究会（中企研）是经国务院批准、国务院国资委主管的全国性一级社团组织，其 组织评选的"中国企业改革发展优秀成果"是国内企业改革领域具有高度权威性和影响力的奖项。本届受 理申报的716项成果经审定办公室初审、专家审定委员会复审，最终评选出特等奖5项、一等奖49项、二 等奖68项、三等奖78项。中国电信翼支付荣列一等奖榜单，标志着其改革实践获得国家层面的高度认 可。 获奖课题《数智科技型企业的改革创新发展路径》立足全球数字经济浪潮，聚焦人工智能、大数据、云 计算等技术驱动的产业变革，为响应国家"数字中国"战略，探索国有科技型企业的发展新路。中国电信 翼支付通过企业访谈、集中座谈、专家研讨等方式，深入调研数智科技企业的转型进展与成效，系统分 析当前数智科技型企业数字化转型现状及改革痛点，研究体制机制、技术应用、人才激励等关键 ...

| 日期 | 当日涨跌幅（%） | 换手率（%） | 主力资金净流入（万元） | | --- | --- | --- | --- | | 2025.12.26 | 5.01 | 6.93 | 1416.60 | | 2025.12.25 | -3.20 | 5.63 | -752.64 | | 2025.12.24 | 3.00 | 8.67 | -1994.89 | | 2025.12.23 | 5.04 | 0.33 | 430.63 | | 2025.12.22 | 4.96 | 0.25 | 294.76 | | 2025.12.19 | 2.95 | 2.73 | 311.89 | | 2025.12.18 | 5.00 | 1.33 | 419.75 | | 2025.12.17 | 0.60 | 2.01 | 142.17 | | 2025.12.16 | -3.91 | 2.14 | -131.35 | | 2025.12.15 | -1.59 | 2.08 | -87.69 | （文章来源：证券时报网） MACD金叉信号形成，这些股涨势不错！ MACD金叉信号形成，这些股涨势不错！ 龙虎榜数 ...

Core Viewpoint - The article emphasizes that the Sina Finance APP stands out as the best tool for investors looking to engage in gold trading due to its comprehensive coverage, professional information, and flexible trading options, surpassing other platforms that focus on single trading types [3][12]. Group 1: Sina Finance APP - The core advantage of the Sina Finance APP is its ability to cover all scenarios of gold investment without being limited to a single trading business [4][13]. - It provides real-time synchronization of international spot gold, COMEX gold futures, and integrates data from gold ETFs, mining stocks, and the US dollar index, offering a data dimension that exceeds single trading platforms [4][13]. - The APP pushes key events like non-farm data and Federal Reserve policies within 3-5 minutes, accompanied by expert analysis, ensuring timeliness and professionalism without redundant information [4][13]. - Users can complete gold futures account opening within 15 minutes, with seamless integration of trading interface, market data, and news modules, and it allows guest users to view core market data without mandatory registration [4][13]. - The interface is ad-free and supports customizable market alerts, making it suitable for both novice and professional investors [4][13]. Group 2: Jinrong China APP - The Jinrong China APP excels in high-frequency trading services, with a monthly trading volume exceeding 597.9 billion USD and a STP direct trading model achieving "0 latency" [6][14]. - However, it has significant limitations, as its market data only covers its supported London gold/silver products, lacking gold futures and ETF data [6][14]. - The information provided is primarily focused on promotional activities like "account opening bonuses" and lacks in-depth analysis, requiring mandatory registration to access complete market data, which is unfriendly to users who only want to view market data [6][14]. Group 3: Lingfeng Precious Metals APP - The Lingfeng Precious Metals APP highlights user experience with millisecond-level trading response and a "one-click order" feature, suitable for short-term traders [7][15]. - Its limitations include market data coverage restricted to gold and silver products, with no access to gold ETFs or related forex data [7][15]. - The frequency of information updates is slower than that of the Sina Finance APP, and it only supports trading on its own platform, necessitating additional software for gold futures [7][15]. Group 4: Wanzhou Gold Industry APP - The Wanzhou Gold Industry APP targets new users with low entry barriers, offering zero account opening fees and a minimum initial deposit of 70 USD, along with a virtual account for practice [8][18]. - Its shortcomings include a focus solely on spot gold/silver, lacking depth in data such as gold futures and global central bank reserves [8][18]. - The information provided is basic market dynamics, lacking macro supply and demand analysis, which does not meet the needs of professional investors [8][18]. Group 5: Huangyu Precious Metals APP - The Huangyu Precious Metals APP excels in service details, offering 24-hour online customer service and 15 hours of expert analysis daily [9][19]. - However, it has a narrow focus, with market data and trading limited to London gold/silver, lacking gold ETFs and futures data [9][19]. - The information is primarily technical analysis and non-farm strategies, lacking macro content such as global central bank dynamics and supply-demand reports, resulting in a limited overall perspective [9][19]. Conclusion - While Jinrong China and Lingfeng Precious Metals APPs have their strengths in single product trading, they both face limitations in market coverage, depth of information, and platform binding [10][20]. - The Sina Finance APP, with its comprehensive market data, timely and professional information, multi-platform trading, and user-friendly experience, is positioned as the optimal solution for gold investment in 2026 [10][20].

Group 1 - The core viewpoint of the article is that the Sina Finance APP is the optimal choice for investors looking to track gold market trends due to its comprehensive service and lack of platform limitations, catering to both professional investors and beginners [3][11]. Group 2 - In terms of market coverage, the Sina Finance APP provides real-time updates on international spot gold, COMEX gold futures, gold ETFs, mining stocks, and the US dollar index, along with in-depth content from the World Gold Council, surpassing the data coverage of single trading platforms [4][12]. - Other platforms like Jinrong China, Lingfeng Precious Metals, and Huangyu Precious Metals only cover their supported products and lack cross-market data, while banks and brokerage apps have delayed updates on international spot gold [4][12]. Group 3 - Regarding information capabilities, the Sina Finance APP delivers timely updates on key events such as non-farm payroll data and Federal Reserve policies within 3-5 minutes, accompanied by professional analysis, ensuring a focus on relevant content without promotional distractions [5][13]. - Other platforms tend to focus on marketing activities and lack in-depth analysis, with slower update frequencies and a limited global perspective [5][13]. Group 4 - For transaction convenience, the Sina Finance APP collaborates with multiple regulated futures companies, allowing users to complete gold futures account openings within 15 minutes without needing to switch platforms, and offers seamless integration of trading, market data, and information modules [6][14]. - In contrast, other apps like Jinrong China and Lingfeng Precious Metals only support transactions on their own platforms, requiring additional software for futures trading, while bank and brokerage apps have cumbersome account opening processes [6][14]. Group 5 - In terms of user experience, the Sina Finance APP features a clean interface, customizable market alerts, and cross-device synchronization, catering to both casual viewers and active traders [7][15]. - Other platforms may require mandatory registration to access full market data, have intrusive advertisements, or have complex navigation for gold-related modules [7][15]. Group 6 - Overall, while Jinrong China and Lingfeng Precious Metals have advantages in single product trading, and banks and brokerage apps offer regulatory assurance, they all face limitations in market coverage, depth of information, and platform binding [8][16]. - The Sina Finance APP, with its comprehensive market data, timely and professional information, multi-platform trading capabilities, and superior user experience, is positioned as the best tool for gold market analysis and investment in 2025 [8][16].

Core Insights - The latest Bloomberg survey indicates that students in the Greater Bay Area are enthusiastic about cross-border fintech careers, with a growing demand for AI-related skills, highlighting the region's attractiveness as a hub for fintech talent development [2] Group 1: Student Interest and Skills Demand - Over 160 students participated in the survey, with nearly three-quarters (74%) expressing a strong willingness to engage in cross-border fintech careers [2] - Key advantages identified for pursuing fintech in the Greater Bay Area include "cross-border opportunities" (76%), "access to a large and diverse market" (76%), and "proximity to tech and financial hubs" (65%) [2] - AI and machine learning are the most sought-after skills among young fintech talents, with two-thirds (66%) of students wishing to further their studies in this area, a significant increase from last year's 54% [2] Group 2: Forum and Government Support - The Greater Bay Area Fintech Talent Summit, held on November 26, sparked lively discussions on cross-border collaboration and how AI innovation is reshaping the talent landscape in the world's most dynamic financial region [2] - The summit featured key figures such as the Secretary for Financial Services and the Treasury of the Hong Kong SAR, who emphasized the importance of talent in driving innovation, particularly in fintech [4] - The Hong Kong Monetary Authority's Deputy Chief Executive highlighted the establishment of an innovative financial ecosystem in Hong Kong, focusing on talent development and collaboration with the Greater Bay Area [4] Group 3: Program Development and Employment Preferences - The Greater Bay Area Fintech Talent Development Program, launched in 2022, has become a key initiative for cultivating financial talent in the region, now including students from Shenzhen for the first time [4] - Students showed a significant increase in preference for large, established financial institutions (60%), up from 47% last year, while interest in startups and innovation labs remained at 13% [5] - The program provides essential support through fintech training courses (77%), internship opportunities (76%), and mentorship (71%) [5] Group 4: Program Objectives and Partnerships - The Greater Bay Area Fintech Talent Development Program, a collaboration between Bloomberg, the Hong Kong Youth Association, and the Hong Kong Monetary Authority, aims to help university students understand cross-border financial projects and fintech trends [8] - The program offers professional training, career guidance, and opportunities for students to connect with industry leaders and experts [8] - It is also part of Bloomberg's global corporate philanthropy initiative, focusing on helping students acquire the skills and experiences necessary for employment and entrepreneurship [8]

格隆汇12月29日｜据Cointelegraph，摩根大通近期冻结两间稳定币初创公司BlindPay和Kontigo的银行帐 户，疑与委内瑞拉有关。摩通发言人强调，是次冻结纯粹出于合规考虑，与稳定币公司毫无关系。该两 间受影响的初创公司均获得Y Combinator的支持，主要在拉丁美洲营运，透过数码支付公司Checkbook 使用摩根大通的银行服务。 Checkbook总裁PJ Gupta解释，由于拒付率显著上升，BlindPay和Kontigo的 帐户受到影响，客户快速注册，导致纠纷大幅增加，最终促使银行暂时冻结了有关帐户。 ...

Core Viewpoint - The People's Bank of China has implemented a one-time credit repair policy that allows eligible individuals to have overdue information not displayed in the financial credit information database, leading to potential scams by fraudsters posing as financial institutions offering credit repair services [1][7]. Group 1: Policy Overview - The new credit repair policy is automatic, meaning individuals do not need to apply; the central bank's credit system will identify and adjust eligible overdue information automatically [2][8]. - The policy applies to all institutions connected to the central bank's credit system, covering overdue information from personal loans on lending platforms if the lender is connected to the system [2][8]. - Specific conditions for overdue information to qualify for repair include: 1) the overdue occurred between January 1, 2020, and December 31, 2025; 2) the overdue amount does not exceed 10,000 RMB; 3) the overdue debt must be fully repaid by March 31, 2026 [2][8]. Group 2: Fraud Risks - Fraudsters have exploited the new policy, creating scams that mislead individuals unfamiliar with the rules, claiming to offer credit repair services for a fee [2][8]. - Three main types of scams related to credit repair have been identified: 1) falsely claiming to apply for credit repair for a fee; 2) fabricating internal documents to suggest additional conditions for the policy; 3) inducing consumers to engage in "debt rollover" schemes, leading to higher debt costs [2][8]. Group 3: Company Initiatives - The company has been actively collaborating with regulatory bodies and law enforcement to combat financial fraud related to credit repair and other gray market activities [5][11]. - Utilizing technological advantages in AI and smart models, the company has established a mechanism for sharing leads and conducting joint investigations with police, resulting in the resolution of nearly 100 cases and the dismantling of 25 organized crime groups over the past two years [5][11]. - The company emphasizes the importance of protecting personal information and advises users to avoid engaging with suspicious communications regarding credit repair [5][11].

Core Insights - The 2025 Financial Large Model Evaluation System was released in Shanghai, marking the first comprehensive upgrade to version 2.0 since the initial launch last year, focusing on standard leadership, data-driven approaches, security and trustworthiness, and ecosystem co-construction [1] - The evaluation system serves as a scientific benchmark for the industry, providing a reliable method for assessing the performance, safety, and reliability of various financial large models [1] Group 1 - The evaluation system integrates 4 public datasets and 22 self-built datasets, totaling approximately 36,000 evaluation data points, employing a randomized selection mechanism and diverse prompts [1] - The system automates and standardizes the entire evaluation process, offering authoritative and precise assessments of large model capabilities for banks, brokerages, funds, and investment institutions in Shanghai [1] Group 2 - The latest evaluation results show a significant improvement, with the industry average score rising from 71.9 to 87.37 this year [2] - Domestic financial large models excel in language understanding, terminology disambiguation, regulatory policy updates, and compliance alignment, while foreign models lead in mathematical calculations, step reasoning, cross-language reasoning, and processing of long texts [2]