2025 年市场收官在即，各类投资品表现分化显著。今年以来，伦敦现货黄金累计涨幅超70%，创下自 1979 年以来最高单年涨幅，跑赢纳斯达克指数20%，成为全年最稳健的 "赚钱资产"。这场黄金牛市 中，Z世代成为投资主力，而京东金融推出的 "黄金穿越购" 活动，正让不少错过前期涨幅的投资者吃上 "黄金后悔药"，轻松搭上年底黄金行情的末班车。 黄金暴涨 避险情绪与货币逻辑下的价值回归 2025年的黄金市场堪称 "纪录收割机"，回顾年内国际金价走势，伦敦现货黄金、COMEX黄金期货均从 2600美元/盎司涨至4500美元/盎司区间，年内累计涨幅超过70%，这也是自1980年以来的最大年度涨 幅。 世界黄金协会分析指出，地缘政治不确定性加剧、美元走弱以及全球央行增持潮，共同推动金价持续走 强。我国央行连续10个月加仓黄金，全球央行更是连续多年增持，让黄金在储备资产中的地位首次超越 美债，成为公认的 "安全压舱石"。 与波动剧烈的股市相比，黄金的稳健表现更受投资者青睐。在A股震荡上行、基金收益分化的背景下， 黄金 "避险 + 增值" 的双重属性凸显，成为普通投资者抵御市场风险的优选。数据显示，越来越多年轻 人加入囤金 ...

Core Viewpoint - Yuxin Technology Group Co., Ltd. has submitted a new prospectus for listing on the Hong Kong Stock Exchange, following a previous application that became invalid in 2015. The company is a financial technology solution provider operating in both domestic and international markets, primarily serving financial institutions with comprehensive technology solutions [1][3]. Company Overview - Yuxin Technology was established in October 2006 and was previously known as Beijing Yuxin Yicheng Technology Co., Ltd. The company went public on the Shenzhen Stock Exchange's ChiNext board on November 7, 2018, with a registered capital of 704 million RMB. Major shareholders include Zhuhai Yuqin Hongtai Venture Capital Group Co., Ltd. and Baidu [3][4]. Financial Performance - Yuxin Technology ranked second in the Chinese banking fintech solutions market by revenue from 2022 to 2024, and first among listed companies in China, with a market share of 2.1% in 2024 [5]. - The company's revenue for 2022, 2023, 2024, and the first nine months of 2025 was approximately 4.28 billion RMB, 5.20 billion RMB, 3.95 billion RMB, and 2.18 billion RMB, respectively. Net profits for the same periods were 253 million RMB, 330 million RMB, 384 million RMB, and 257 million RMB [5][6]. Revenue Trends - Revenue growth in 2023 was attributed to increased income from banking technology solutions, driven by large procurement orders. However, revenue decreased in 2024 due to a strategic shift towards larger, high-value projects. The first three quarters of 2025 saw a further decline in revenue to approximately 2.18 billion RMB, a 7.0% decrease from the same period in 2024 [7]. - The company's gross profit margin remained relatively stable, with margins of 26.1%, 25.7%, and 28.8% for 2022, 2023, and 2024, respectively. The gross margin further increased to 33.9% in the first half of 2025 [7][8]. Dividend and International Revenue - Yuxin Technology has consistently paid dividends, distributing approximately 98 million RMB, 137 million RMB, and 179 million RMB in 2022, 2023, and 2024, respectively. The company plans to use the funds raised from the Hong Kong listing to accelerate global expansion and enhance international competitiveness [9]. - The company generated revenue from international markets, with figures of approximately 10.72 million RMB, 12.05 million RMB, and 9.05 million RMB for 2022, 2023, and 2024, respectively, indicating a significant drop of 24.9% in 2024 [9][10].

Core Insights - The core theme of the China Wealth Management 50 Forum 2025 Annual Meeting is "Towards the Construction of a Financial Power during the 14th Five-Year Plan" [1] AI Application in Finance - AI applications in the financial industry are transitioning from the "usable" stage to the "useful" stage, with 90% of success depending on engineering capabilities [3][8] - The development of large models is entering the "Agentic" era, where AI will autonomously complete tasks and create business value [3][8] - AI will lead to structural changes in financial institutions, reshaping competitive barriers in five key areas: 1. Redefining traffic entry points from passive app clicks to proactive intent recognition through intelligent services 2. Redefining financial products and services for deep customization 3. Restructuring the entire user journey to make financial services more inclusive 4. Redefining operational objects and forms, with intelligent assistants becoming the main channel influencing customer mindset 5. Ultimately affecting talent and organization, moving towards a "human-machine coexistence" state [3][8] Huawei's AI Strategy - Huawei's financial AI strategy aims to support the industry in moving from "usable" to "useful," providing a full-stack capability from advanced Ascend computing power to a one-stop AI development platform (ModelArts) and an intelligent agent development and operation platform (Versatile Agent) [3][8] - The strategy includes talent training courses and focuses on three typical scenarios co-created with leading financial institutions [3][8] Specific Use Cases - In mobile banking app scenarios, Huawei uses models like Pangu 7B to enhance service accuracy to over 95% while optimizing computing power and reducing costs, achieving end-to-end latency under 2 seconds [4][9] - In intelligent risk control scenarios, the core solution involves converting expert experience into "thinking chain" data and using large models with "slow thinking" capabilities for reinforcement learning, ensuring real-time updates and high accuracy of risk control models [4][9] - For report generation (applicable to credit and investment research), an innovative "Deep Research" development paradigm allows intelligent agents to automatically organize tasks and generate high-quality reports through repeated interactions with external data sources and knowledge bases [4][10] Engineering Challenges and Recommendations - The financial industry, characterized by strong regulation and high standards, faces challenges in engineering rather than merely applying generic models or external knowledge bases [5][10] - To address systemic latency, accuracy, humanization, and cost issues, strong dynamic business orchestration capabilities are required, along with complex model tuning, intelligent agent tuning, system integration, and full-link monitoring [5][10] - Eight recommendations for financial institutions include: 1. AI should be a company-level strategy led by top management 2. Business departments must deeply participate in building integrated teams of technology, business, and data 3. Focus on "useful" applications rather than "showcase" applications, paying attention to actual usage metrics 4. Adopt diversified models and open architectures 5. Combine engineering experience from professional fields 6. Build enterprise-level AI pipelines and regulatory-compliant governance systems 7. Develop high-quality datasets 8. Recognize that 90% of success depends on engineering capabilities [6][10]

Core Viewpoint - The article discusses the complex relationship between job layoffs and the rise of artificial intelligence (AI), highlighting that while AI is a factor in job displacement, it also creates new opportunities and roles in the workforce [3][4]. Group 1: Job Displacement and AI - In 2025, approximately 55,000 layoffs in the U.S. are attributed to AI, with major tech companies like Amazon and Salesforce reducing thousands of positions [3]. - AI is capable of performing about 11.7% of jobs in the U.S. labor market, potentially saving up to $1.2 trillion in wage expenditures in sectors like finance and healthcare [3]. - The relationship between layoffs and AI is nuanced; while some jobs, particularly entry-level positions, are being automated, new roles are also emerging as a result of faster information flow [4][9]. Group 2: Corporate Perspectives on AI and Layoffs - Dr. Rumman Chowdhury, an AI expert, notes that layoffs are not solely driven by AI advancements but also by companies needing to cut costs after investing heavily in unprofitable technologies [6]. - IBM's CEO Arvind Krishna acknowledges that while AI may replace about 10% of jobs, it will not fully replace human workers and may ultimately lead to more hiring in new fields [7]. - The trend of layoffs is seen as a "natural correction" rather than purely an AI-driven phenomenon, with companies needing to address overhiring issues [6][7]. Group 3: Job Market Trends - Analysis from Indeed indicates that as of early 2025, hiring for senior and management tech positions has decreased by 19% compared to pre-pandemic levels, while entry-level tech positions have seen a 34% decline [10]. - The requirements for tech jobs are becoming stricter, with the proportion of positions requiring at least five years of experience rising from 37% to 42% between Q2 2022 and Q2 2025 [10]. - Amazon Web Services' CEO Matt Garman criticizes the trend of replacing junior engineers with new technology, arguing that it undermines the development of talent and innovation within companies [10]. Group 4: The Paradox of Work and AI - The article references the "Jevons Paradox," suggesting that technological advancements often lead to increased demand for resources rather than a reduction in workload [11]. - Despite the rise of AI, the culture in Silicon Valley is shifting towards longer working hours, contradicting the expectation that automation would reduce work demands [11]. - The notion that work is a finite resource is challenged, as the article posits that work is an expanding ecosystem rather than a diminishing bubble [11].

12月29日，A股三大指数涨跌分化，沪指成功收涨，日线迎来"9连阳"，创下2025年以来最长连阳纪录！深成指、创指分别收跌0.49%、0.66%。市场人气维 持高位，成交2.16万亿元，连续两日突破2万亿元大关。 盘面上，商业航天题材强者恒强，人气居高不下。中国卫星、航天电子、航天发展等3股连续多日挺进A股成交额前十榜单，相关热门ETF——通用航空ETF 华宝（159231）收涨1.72%触及历史高点，军工ETF华宝（512810）上探1.69%再创逾3年新高。 数字货币概念盘中异动，金融科技及银行迅速逆袭，同类流动性最佳的金融科技ETF（159851）午后直线冲高，收涨1.08%四连阳，百亿银行ETF （512800）放量收涨0.98%。消息面，新一代数字人民币计量框架、管理体系、运行机制和生态体系将于2026年1月1日正式启动实施。 科技股大面积冲高回落，双拼"芯片+果链"的电子ETF（515260）、聚焦国产AI产业链的科创人工智能ETF华宝（589520）盘中均涨至2%左右，最终收涨逾 0.6%。不过主力攻势不减，电子及计算机行业主力净流入额分别为74.74亿元、48.35亿元，高居全行业（申万）第2 ...

阿拉伯海湾商业洞察网12月24日消息，投资者预计金融科技将继续主导中东风投市场。据Wamda （阿联酋顶级风投之一）数据显示，2025年前11个月金融科技融资超40亿美元，占地区总融资（75亿美 元）的一半以上。沙特融资超50亿美元，阿联酋达19亿美元，债务融资正成为重要资金来源。 （原标题：金融科技或继续主导中东风险投资） ...

今天沪指翻红了，但是赚钱效应不佳，市场有超3300只股票下跌，涨幅靠前的主要是商业航天、机器人、金融科技。 这三个题材里，商业航天已经涨了一段时间了，机器人和金融科技像是回调企稳后的刚启动。 市场上，一条大新闻是小米集团"二号"林斌宣布减持月140亿元，是从明年开始减持，每12月减持不超5亿美元。 盘点林斌此前的减持，可以发现大部分是卖在相对高点了，累计套现约 85 亿港元： 2019年8月：套现约4亿港元 2020年9月：套现约80亿港元（当时承诺5年不减持剩余持股） 2024年6月：套现约1.8亿港元 而就在一个月前（11月24日），小米创始人雷军刚刚自掏腰包约1亿港元回购了，这一"1亿回购 vs140亿减持" 的鲜明对比迅速登上热搜，引发市场对小米 前景的广泛讨论。 整体来说，已重返2万亿成交量的当前，市场依然较为强势，沪指录得9连阳，跨年行情进行中。 不断涨上热搜的黄金和白银，今天跳水，说明没有一直涨的资产，波动才是常态。 今天沪指翻红了，但是赚钱效应不佳，市场有超3300只股票下跌，涨幅靠前的主要是商业航天、机器人、金融科技。 这三个题材里，商业航天已经涨了一段时间了，机器人和金融科技像是回调企稳后 ...

【财经网讯】12月29日，宇信科技（300674）发布第四届董事会第十一次会议决议公告，宣布审议通过 《关于募投项目建设期延期的议案》。公司表示，此次延期是基于经营情况、发展战略及市场环境变化 作出的审慎决策，旨在提高募集资金使用效率。 公告显示，本次董事会会议于2025年12月29日以通讯方式召开，应到董事8人，实到董事8人，会议由董 事长洪卫东主持。会议召集与召开程序符合《公司法》及《公司章程》规定，表决结果为8票同意、0票 反对、0票弃权，议案获得全票通过。 本次会议还审议通过了相关备查文件，包括董事会决议及审计与风险控制委员会决议等。 点击查看公告原文>> 声明：市场有风险，投资需谨慎。 本文为AI大模型基于第三方数据库自动发布，任何在本文出现的信 息（包括但不限于个股、评论、预测、图表、指标、理论、任何形式的表述等）均只作为参考，不构成 个人投资建议。受限于第三方数据库质量等问题，我们无法对数据的真实性及完整性进行分辨或核验， 因此本文内容可能出现不准确、不完整、误导性的内容或信息，具体以公司公告为准。如有疑问，请联 系biz@staff.sina.com.cn。 责任编辑：小浪快报 董事会指出，募 ...

每经记者｜蔡 鼎 每经编辑｜张益铭 据港交所消息，A股深交所创业板上市公司四方精创（SZ300468，股价39.33元，市值208.70亿元）于12 月24日首次向港交所呈交了IPO（首次公开募股）申请文件，招银国际和国信证券（香港）为其联席保 荐人。 招股书显示，四方精创拟将此次港股IPO募集资金用于在未来3至5年内提升研发和交付能力、增强在中 国内地及全球市场的销售能力、潜在投资及收购，以及营运资金及一般企业用途。 《每日经济新闻》记者注意到，四方精创虽然在招股书中强调自身"领先"，但在中国内地及香港的金融 科技软件开发服务市场中仅排名第15，市场份额仅1.2%。此外，2022年至2025年前三季度，四方精创 的客户和供应商整体均呈不断集中趋势，其中2025年前三季度前五大客户贡献近九成收入。同期，公司 几乎所有销售成本均来自员工薪酬，这证明四方精创作为一家劳动密集型IT（互联网技术）服务企业， 其成本结构单一且刚性。 公司市场份额占比较小 磋商中的议价能力。虽然我们致力吸引新客户以多元化收入基础，但我们的解决方案的销售周期往往漫 长且成本高昂，尤其是针对大型金融机构而言。" 四方精创还指出，截至2025 ...

Group 1 - The company focuses on core businesses such as information communication, financial technology, and intelligent manufacturing, providing secure digital, networked, and intelligent products and services for key industries and departments like government, public security, telecommunications, banking, and transportation [2] - The company aims to consolidate mature businesses, strengthen growth businesses, and accelerate the cultivation of new businesses through technology extension, market extension, and model innovation, thereby planning for the extension of existing industries and the second curve of business growth [2] - The company is committed to developing incremental businesses to promote industrial transformation and accelerate breakthroughs in strategic emerging industries, ensuring sustainable and stable development [2]