2月5日，备受瞩目的国际黄金市场再度迎来跳水，伦敦现货黄金价格从5000美元/盎司附近跌至4700美元/盎司附近，截至发稿，其价格小幅反弹至4815美元/ 盎司。 同日，白银更惨，伦敦现货白银价格从90美元/盎司附近跌至67美元/盎司附近，单日暴跌约25%之巨，波动之剧烈实属罕见。截至发稿，其价格小幅反弹至 72.5美元/盎司。 黄金、白银齐跳水，跌落神坛 值得注意的是，1月30日至今，短短数个交易日，伦敦现货黄金、白银连遭重挫，累计跌幅分别达到约11.5%、40%，黄金完成了从"避险神坛"到"暴跌主 角"的反转，从历史峰值开启断崖式下跌，白银弹性更大，无数散户被套在高位。一场席卷全球的贵金属风暴骤然来袭。 黄金、白银暴跌的背后，一方面源于获利盘集中出逃。此前黄金从3000美元/盎司一路涨至超过5500美元/盎司，机构投资者、量化资金均积累了丰厚利润。 面对金价的历史高位，市场情绪达到顶点，散户跑步入场接盘，而机构选择顺势止盈，大量抛售头寸引发连锁反应。 此外，有观点指出，白银兼具金融与工业属性。其市场容量小、流动性差，本就波动剧烈。此次暴跌中，对全球工业需求复苏乏力的担忧，放大了其作为工 业金属的下跌压力， ...

Core Viewpoint - The discussion centered around the establishment of a standardized evaluation benchmark for credit multi-modal AI, named FCMBench-V1.0, which aims to provide a widely recognized measurement tool for financial AI applications [1][3]. Group 1: FCMBench-V1.0 Overview - FCMBench-V1.0 is the first evaluation benchmark specifically designed for credit scenarios, developed by Qifu Technology in collaboration with researchers from Fudan University and South China University of Technology [1][3]. - The benchmark is based on real credit business scenarios and focuses on key aspects such as multi-modal perception, reasoning, and decision-making [1][3]. - It includes an open-source dataset and evaluation tools, aiming to create a reliable "ruler" for financial AI [1][3]. Group 2: Importance of Standardization - The lack of a unified standard makes it difficult for financial AI to be effectively implemented, as highlighted by industry experts during the discussion [3][5]. - Qifu Technology's multi-modal head, Dr. Yang Yehui, emphasized that without a fair and transparent evaluation system, financial institutions struggle to choose between models claiming different performance scores [5]. - FCMBench aims to level the playing field by allowing models to be tested under real business conditions, thus providing clarity in decision-making [5]. Group 3: Insights from Experts - Professor Xu Yanwu from South China University of Technology noted that AI is already deeply involved in areas like insurance pricing and asset evaluation, even if its presence in consumer-facing products is not obvious [5][6]. - He also pointed out that the shorter business iteration cycles in finance provide a conducive environment for model evaluation and updates [6]. - Professor Chen Tao from Fudan University compared the current stage of financial AI to the early days of deep learning, emphasizing the need for a significant evaluation benchmark like FCMBench to unify standards in the industry [8][11]. Group 4: Future Directions - The discussion concluded with a call for continued collaboration among industry, academia, and research institutions to scale and standardize financial AI [11]. - The host, Yang Xuan, expressed the hope for more partners to engage in dataset testing and evaluation, aiming to develop a "financial ImageNet" through collaborative efforts [11].

来源：北 京日报客户端 近日，2026中关村论坛系列活动——第九届中关村国际前沿科技大赛金融科技领域复赛在中关村（西 城）金融科技特色产业园新动力金融科技中心举办。 比赛现场，来自高校院所、投资机构、相关企业的多位专家受邀担任评委，针对路演表现和发展前景进 行现场打分，并对项目未来的发展方向提出了建设性意见和建议。 中关村国际前沿科技大赛创设于2017年，把握全球科技革命和产业变革方向，密切跟踪前沿科技发展趋 势，按照"全球邀约、自由探索、公开路演"的方式，搭建高水平国际前沿科技交流竞技平台。本届大赛 共设立AI底层技术、AI应用、创新药、医疗器械、新材料、文化科技、金融科技等七个参赛领域，共 征集境内外项目2168项，其中金融科技领域申报198项，经初赛评审后共有25个项目进入复赛，涉及区 块链与分布式账本应用、数智化金融营销、金融数据安全与合规技术、支付欺诈实时防火墙系统等多个 技术方向。 最终，面向金融的超快速数据传输解决方案、桔吉机器人会计等10个项目脱颖而出，获得第九届中关村 国际前沿科技大赛金融科技领域TOP10荣誉称号。 SEX 117 公司概况-全国布局 IT 提供专业。迅捷、可信赖的全生食用 ...

•A股2026年春节休市安排公布 •海南自贸港岛内居民消费进境商品免税额度为每人每年1万元 •AI热潮退烧、疲软就业数据冲击美股，三大指数跌逾1% •市场陷入"信心危机"，贵金属再遭抛售，比特币跌破7万美元 •"AI编程大战"打响，OpenAI与Anthropic同步发布新模型 •亚马逊最新财报出炉，今年支出指引"爆表"盘后股价大跌 1、财政部、海关总署、税务总局联合发布通知，对海南自贸港岛内居民在指定经营场所购买的进境商 品，在免税额度和商品清单范围内免征进口关税、进口环节以及国内环节增值税和消费税。免税额度为 每人每年1万元人民币，不限购买次数。 2、贵金属市场抛售风暴再度来袭。国际市场方面，现货白银一度跌超20%，失守71美元/盎司；现货黄 金一度跌近4%失守4800美元/盎司关口，现货铂金、现货钯金同步大幅下挫。国内商品期市日盘收盘， 沪银跌近11%，夜盘则进一步下跌约10%；铂金收盘跌近8%。 3、"AI编程大战"打响第一枪。OpenAI发布GPT-5.3-Codex，称其为迄今为止能力最强的编程代理。此次 发布的时间点被精准安排在Anthropic推出其旗舰模型升级版Claude Opus 4.6 ...

Financial Data and Key Metrics Changes - The company reported excellent results for Q2 of FY 2026, with significant growth in key metrics, although specific figures were not disclosed in the opening remarks [6][10]. - The company expects RLTC take rates to hover slightly above 4% for Q3 and Q4, maintaining a similar trajectory to Q2 [21][23]. Business Line Data and Key Metrics Changes - The Affirm Card saw GMV year-over-year growth of just under 160%, with active cardholders increasing by 121% and 0% deals on the card rising by 190% year-over-year [61]. - The "other" category, which includes various small merchants, has grown to represent 15% of total GMV and is experiencing triple-digit growth [30][33]. Market Data and Key Metrics Changes - The company is expanding its international presence, particularly in the U.K., with new partnerships and deals that are expected to scale up [62][63]. - The market for ABS deals remains constructive, with recent deals priced with spreads under 100 basis points, indicating strong confidence from investors [49]. Company Strategy and Development Direction - The company is focused on building a universal acceptance mark similar to Visa, aiming to be present in every retail environment, both online and offline [111]. - The decision to explore new categories such as home improvement and medical is driven by consumer demand and the desire to build a broader network [110]. Management's Comments on Operating Environment and Future Outlook - Management noted that the current consumer environment appears healthy, with consumers willing and able to repay loans [18]. - There are no significant deviations from previous quarters, and the company is not seeing disturbances in credit quality [97]. Other Important Information - The company has applied for a bank charter to gain regulatory certainty and potentially unlock new products and services in the future [38][39]. - The Boost AI product is still in early stages, with limited merchant adoption, but it is expected to enhance marketing effectiveness for merchants [48]. Q&A Session Summary Question: Dynamics of growth with top merchants - Management indicated that the top five merchants for Q2 FY 2026 are different from the previous year, and the business is diversifying well despite some concentration [10][14]. Question: Overview of consumer trends and economic health - Management stated that the current consumer is healthy and willing to repay loans, with no significant changes observed in the economic environment [17][18]. Question: RLTC margin trajectory - Management expects RLTC margins to remain around 4% for the remainder of the year, with benefits from lower transaction costs [21][24]. Question: Impact of competition on merchant pricing - Management noted that aggressive promotional strategies from competitors have not significantly affected Affirm's pricing or market position [27][29]. Question: Growth in the "other" category - Management explained that the "other" category includes a diverse range of small merchants, and growth in this area is driven by increased awareness of Affirm's offerings [30][33]. Question: Bank charter application - Management clarified that the bank charter application is primarily for regulatory certainty and not directly linked to short-term funding costs [38][110]. Question: ABS deal execution - Management highlighted strong execution in ABS deals, with favorable market conditions leading to lower financing costs [49]. Question: Fiserv partnership - Management discussed the partnership with Fiserv, aiming to provide Buy Now, Pay Later capabilities through existing debit card infrastructure [116].

蔚来涨5.86%，亚朵集团涨5.19%，华住酒店集团涨5.11%，百胜中国涨4.86%，陆金所控股涨4.58%。 ...

市场有风险，投资需谨慎。本文不构成个人投资建议，也未考虑到个别用户特殊的投资目标、财务状况或需要。用户应考虑本文中的任何 意见、观点或结论是否符合其特定状况。据此投资，责任自负。 风险提示及免责条款 汤森路透跌幅扩大至7%。FactSec下跌10%，创2020年3月份以来盘中新低。 Anthropic发布人工智能 （AI）模型的最新版本Claude Opus 4.6，用于进行金融研究和其他工作相关的功能。 ...

会上，MOX澳交所执行总裁杨广辉与祺鲲科技首席财务官高森共同发布"离岸绿色债券直通车"平台。平台充分整合MOX澳交所联通境内外资本市场的通 道优势与祺鲲科技在ESG数据管理、绿色认证领域的技术积累，通过"国际认证+数据透明+全程追溯"三位一体的服务模式，为中国绿色企业搭建起通往国 际资本市场的高速路，标志着跨境绿色融资迈入标准化、数字化的新阶段。 为支撑"离岸绿色债券直通车"平台落地运营，大会见证了跨境绿债发展服务中心正式揭牌，该中心落地上海，将整合沪澳两地资源，为企业提供从咨询、 认证到发行的全流程服务支持。同时，ESG及绿债标准推进委员会宣告成立，将参与推动中外绿色金融标准互认与国际规则对接。"十五五"规划开局之 年，上海锚定国际金融中心能级跃升目标，澳门将现代金融作为经济适度多元发展的关键引擎。本次大会标志着沪澳两地在跨境ESG合作领域进入实质性 阶段。 近日，以"引领绿色转型赋能出海发展"为主题的2026国际债券年会暨沪澳跨境ESG（环境、社会和治理）合作大会在上海召开，大会汇聚了来自监管机 构、国际交易所、金融机构、中介机构及绿色产业企业的300余位代表，共同见证沪澳绿色金融合作新篇章的开启。 全国 ...

Investment Rating - Investment rating: None [4] Core Insights - The report highlights strong order performance in the AI energy sector, with GEV securing approximately 24GW of gas turbine demand in Q4 2025, and a total of 83GW of orders and capacity reserved until 2029, aiming for 100GW by the end of 2026 [5][13][14] - In the fintech sector, BREAD Financial led the market with a 5.5% increase after reporting Q4 2025 earnings that exceeded market expectations, while the overall sector remains under pressure [16][21] - Quantum computing companies like Honeywell and IonQ are making significant strides, with Honeywell's Quantinuum raising approximately $840 million and IonQ acquiring Seed Innovations and Skyloom to enhance its enterprise-level platform [28][29][31] Summary by Sections AI Energy - The AI energy sector saw GEV's strong performance with 24GW of new gas turbine demand and a total of 83GW of orders, with expectations to reach 100GW by 2026 [5][13] - The company anticipates a significant increase in gas turbine production by Q3 2026 and a doubling of grid equipment capacity from 2024 to 2028 [14] - The report notes a positive outlook on the U.S. emergency power auction mechanism, which could accelerate the construction of stable, dispatchable power sources [14] Fintech - The fintech sector experienced a downturn, with most companies declining, except for BREAD Financial, which reported a 5.5% increase in stock price after strong Q4 earnings [16][21] - Visa has implemented Apple Pay for Chinese cardholders, enhancing cross-border payment capabilities, while NITMX is working on cross-border payment systems with major Chinese payment service providers [21][22] - The report suggests that cross-border payments are transitioning from a "channel competition" phase to a "infrastructure reconstruction" phase, driven by high-frequency consumption scenarios [23] Quantum Computing - The quantum computing sector saw Honeywell's Quantinuum achieve significant funding and partnerships, integrating its products with NVIDIA's AI technology [28][29] - IonQ is advancing its enterprise-level platform through acquisitions, enhancing its capabilities in machine learning and quantum networking [31] - The report emphasizes IonQ's strategy to build a comprehensive platform covering quantum computing, networking, sensing, and security [31] Commercial Aerospace - The commercial aerospace sector experienced a slight decline, with key companies like Honeywell and RTX reporting strong earnings despite market fluctuations [36] - Honeywell's Q4 sales reached $9.8 billion, with a 6% year-over-year increase, while RTX reported $24.2 billion in sales, a 12% increase from the previous year [36]

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report highlights that AI is transitioning from experimental phases to becoming a foundational infrastructure for enterprises, with significant advancements expected by 2025 in various sectors including finance, manufacturing, and energy [4][5] - The focus is on the need for organizations to adapt their structures and talent development strategies to effectively integrate AI into their business processes, emphasizing the importance of creating quantifiable value from AI applications [4][5] Summary by Sections Section 1: Current State of AI Applications in Enterprises by 2025 - AI core talent constitutes less than 10% in nearly half of Chinese enterprises, indicating a reliance on application-oriented capabilities [20] - Internal training is the primary source for AI talent, with 75% of respondents indicating that internal development is preferred [23] - AI project implementation cycles are shortening, with nearly 50% of enterprises reporting that projects can be completed within one month, and some as quickly as one week [28] - Enterprises are entering a "scale validation period," with 75.3% of companies aware of their token consumption, indicating widespread application of large models [31][33] - The focus for 2026 will be on multi-agent collaboration and AI-assisted programming as key technological trends [34] Section 2: Intelligent Agents as Key Tools for AI Application - Technological breakthroughs and cost reductions are paving the way for the large-scale commercialization of intelligent agents [43] - The ecosystem is evolving, significantly lowering the barriers for the development and application of intelligent agents [45] - Policy support and market demand are mutually reinforcing the deep integration of intelligent agents into industry applications [47] Section 3: AI Technology Implementation Outcomes Below Expectations - The effectiveness of AI technology implementation is not meeting expectations, with only 39% of respondents reporting a significant impact on EBIT [59] - A lack of effective evaluation metrics for AI value is noted, with successful AI implementation often requiring business process redesign [59] Section 4: Demand for "Super Employees" in the AI Era - There is a growing demand for "super employees" who can manage end-to-end processes from demand discovery to product testing, leading to a reevaluation of traditional job roles [66] - The need for hybrid talent that combines business insight with AI technical skills is emphasized, with a shift towards roles that cover comprehensive workflows [67] Section 5: Talent Development Trends - The emergence of "super employees" who can navigate across traditional job boundaries is anticipated, driven by the integration of intelligent agents [72] - Management roles are expected to evolve, focusing on strategic oversight and resource allocation rather than traditional hierarchical functions [73] - New roles are likely to emerge that facilitate collaboration between humans and intelligent agents, enhancing operational efficiency [75]