22日早盘，金融科技表现活跃，楚天龙涨超9%逼近涨停，四方精创涨超5%，恒宝股份、拉卡拉、中科江南、新国都、东信和平等多股涨超 2%。热门ETF方面，同类规模最大的金融科技ETF（159851）场内价格上涨1%，资金大举净申购超1亿份，做多热情高涨！ 风险提示：金融科技ETF被动跟踪中证金融科技主题指数，该指数基日为2014.6.30，发布日期为2017.6.22，该指数2020-2024年年度涨跌幅分 别为：10.46%、7.16%、-21.40%、10.03%、31.54%，指数成份股构成根据该指数编制规则适时调整，其回测历史业绩不预示指数未来表现。 文中指数成份股仅作展示，个股描述不作为任何形式的投资建议，也不代表管理人旗下任何基金的持仓信息和交易动向。基金管理人评估的该 基金风险等级为R3-中风险，适宜平衡型（C3）及以上投资者。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，投资人须对任何自主决定的投资行为负责。另，本文中的任何观点、分析及预测不构成对阅读者任何 形式的投资建议，亦不对因使用本文内容所引发的直接或间接损失负任何责任。基金投资有风 ...

22日早盘，金融科技表现活跃，楚天龙涨超9%逼近涨停，四方精创涨超5%，恒宝股份、拉卡拉、中科 江南、新国都、东信和平等多股涨超2%。热门ETF方面，同类规模最大的金融科技ETF（159851）场内 价格上涨1%，资金大举净申购超1亿份，做多热情高涨！ | | | 分时 多日 1分 5分 15分 30分 · | | | | | | F9 盘前盘后 型加 九转 画线 工具 份 (2 | | 金融科技ETF | | 159851 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.819 | | | | | 159851[金融科技ETF] 10:33 价 0.819 福数 0.009(1.11%) 均价 0.015 成交量 6422 | | | | 1.119 | 0.87 C | | +0.009 +1.11% | | | | | | | | | | | | SZSE CNY 10:33:24 交易中 | | 通险7.4 | | 0.815 | | | | | | | | | 0-10- | ...

近期，金融监管总局下调保险公司多项风险因子，充分发挥险资作为耐心资本的优势，这意味着险资投资A股的资金规模进一步拓展。招商证 券认为调降保险公司股票投资风险因子，能够鼓励保险公司加大入市力度，支持稳定和活跃资本市场，建议左侧布局金融科技。 东吴证券认为，2026年金融科技机会主要围绕两条主线展开：短期看市场活跃的持续性，2025年资本市场活跃度仍在持续，互联网券商在 2025年及2026年上半年仍会有一定的业绩释放；中期关注金融IT业绩弹性，随着政策发力推动金融行业基本面改善，同时券商信创稳步推 进，也将使金融IT公司收益逐步增长。 从估值端看，当前中证金融科技主题指数当前处近半年低位，较高点回落明显，估值消化较为充分。叠加后市资本市场高活跃预期、数字经 济、AI金融等热点催化，当前金融科技左侧配置或正当时。 多角度把握金融科技机会，建议重点关注金融科技ETF（159851）及其联接基金（A类013477、C类013478），按照申万一级行业，标的指数 重仓计算机+非银金融，全面覆盖了互联网券商、金融IT、跨境支付、AI应用、华为鸿蒙等热门主题。 数据来源：沪深交易所等。 风险提示：金融科技ETF被动跟踪中证 ...

多角度把握金融科技机会，建议重点关注金融科技ETF（159851）及其联接基金（A类013477、C类 013478），按照申万一级行业，标的指数重仓计算机+非银金融，全面覆盖了互联网券商、金融IT、跨 境支付、AI应用、华为鸿蒙等热门主题。 17号午后，金融科技突然水下拉升，互联网券商、数字人民币全线活跃！截至发稿，翠微股份涨停斩获 两连板，古鳌科技逼近20CM涨停，指南针涨超5%，同花顺、东方财富、银之杰等多股跟涨超2%。热 门ETF方面，同类规模最大的金融科技ETF（159851）水下直线拉升，现场内价格涨超1%，实时成交 额超3亿元。 | | | 分制 多日 1分 5分 15分 30分 * | | | | F9 盘前盘后 盛加 九转 画线 工具 3 (2 > | | 金融科技ETF | | 159851 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.818 | | | | 159851[金融科技ETF] 13:59 价 0.812 潘歌 0.010(1.25%) 均价 0.796 成交盘 4.41. ...

Group 1 - The core viewpoint of the news highlights a significant rise in financial technology stocks, particularly those related to digital currency, amidst a general decline in the A-share market [1][3] - Notable stocks such as Cuiwei Co., Hengbao Co., and Chuangshi Technology saw substantial gains, with some reaching the daily limit increase [1] - The largest financial technology ETF (159851) experienced a rise of 0.75% despite market downturns, indicating active buying interest [1][4] Group 2 - The surge in digital currency stocks may be influenced by a recent policy announcement encouraging the use of digital RMB to boost consumption [3] - Regulatory changes have lowered risk factors for insurance companies, potentially increasing their investment capacity in A-shares, which could stabilize and invigorate the capital market [3] - Analysts suggest that the financial technology sector will see opportunities in the short term due to ongoing market activity and in the medium term as financial IT companies benefit from policy support and improved fundamentals [3] Group 3 - The financial technology ETF (159851) and its associated funds are recommended for investment, covering a wide range of sectors including internet brokerage and AI applications [4] - As of December 15, the financial technology ETF has a scale exceeding 9 billion, with a daily average trading volume of 800 million over the past six months, indicating strong liquidity [4]

Market Overview - The A-share market experienced a collective pullback, with the Shanghai Composite Index dropping over 1% and the ChiNext Index falling more than 2%, as over 4,300 stocks declined while only about 1,000 stocks rose [1] - The total trading volume in the Shanghai and Shenzhen markets was 1.72 trillion yuan, slightly lower than the previous day [1] Global Influences - The potential interest rate hike by the Bank of Japan is a significant factor, with expectations of an increase of 0.25% to 0.75%, reaching the highest level in 30 years [1] - The weakening of the Hong Kong stock market may be related to the decline in yen carry trades, although many believe the impact of the Bank of Japan's rate hike will be limited [1] Fund Flows - There is a notable inflow of capital into quality Hong Kong stocks, with several ETFs attracting significant investments: - The Hong Kong Internet ETF (513770) has seen inflows of 826 million yuan over the past eight days [1] - The Hong Kong Innovation Drug ETF (520880) has attracted over 200 million yuan in six days [1] - The Hong Kong Large Cap 30 ETF (520560) has received a total of 70.89 million yuan in net inflows over nine days [1] - The Hong Kong Information Technology ETF (159131) has also seen net inflows [1] Sector Focus - The Hong Kong Medical ETF (159137) is currently being launched, focusing on 48 leading companies in the medical sector, with 39 being exclusive to the Hong Kong market [3] - The market is viewed as being at a strategic opportunity point, with valuations at a global low and strong capital inflows, suggesting limited downside and significant upside potential for long-term investors [3] Digital Currency and Financial Technology - The promotion of digital RMB smart contracts is enhancing consumption policies, with the largest financial technology ETF (159851) rising against the market trend, gaining 0.75% [5][6] - The financial technology sector is expected to see increased activity due to regulatory changes that encourage insurance companies to invest more in A-shares [8] Innovation Drug Sector - The Hong Kong Innovation Drug ETF (520880) has been under pressure, reaching a new low, with 29 out of 37 covered companies declining [10] - Despite the downturn, there is a significant net inflow into the ETF, indicating a potential buying opportunity as the sector adjusts [11][13] AI and Internet Sector - The Hong Kong Internet ETF (513770) has experienced a decline of 21% from its yearly high, but remains attractive for long-term investment due to its relatively low valuation compared to other indices [21] - The ETF has seen continuous inflows, indicating strong buying interest despite recent market volatility [18][23]

在鸿蒙生态的快速发展中，金融领域作为"先行者"，正引领全场景智慧金融变革。近日，多家大型银 行、券商机构代表齐聚鸿蒙生态金融行业论坛，分享了金融应用在鸿蒙全场景设备布局与智能化体验升 级的成果。目前，超千款金融应用已上架华为应用市场，并深度适配了鸿蒙全场景互联、AI智能体交 互及系统级创新能力。同时，重视用户反馈解决数百项体验痛点，快速补齐短板、带来创新体验，让鸿 蒙版金融应用不仅"可用"，更"好用"。 多终端覆盖：打破设备壁垒，鸿蒙构建全场景金融服务 当前，各领域金融应用正加速推进鸿蒙生态下的全场景布局，围绕电脑、折叠屏、平板、穿戴设备等多 终端设备，通过跨端协同与无缝流转，降低开发门槛的同时，更满足了用户在多场景下对更高效金融服 务的需求。 •金融应用加速适配鸿蒙全场景设备：鸿蒙的分布式能力还帮助通达信、大智慧、广发易淘金、同花 顺、东方财富等应用实现了"一次开发，多端适配"，确保了在手机、平板、电脑等不同设备上体验高度 一致，有效提升办公与交易效率；目前，中国工商银行，中国银行，中国建设银行，中国农业银行，交 通银行，邮储银行、东方财富、大智慧、京东金融等大量专业金融应用已全面适配鸿蒙平板；国泰海通 证 ...

Core Viewpoint - The establishment of the "Xuhui District AI Financial Technology Ecological Alliance" aims to connect financial institutions' real needs with cutting-edge solutions from technology companies, acting as a "connector" and "catalyst" to promote the application of advanced technologies in real-world scenarios [1][3] Group 1: Alliance Objectives and Mechanism - The alliance is designed as a resource integration platform, leveraging Xuhui District's advantages in AI industry concentration, including top AI companies, research institutions, talent resources, and rich application scenarios [1] - The unique feature of the alliance is its mechanized collaborative model, which enhances the speed and effectiveness of innovation transformation within a highly concentrated and efficient ecosystem [1] Group 2: Company AI Strategy - The company has established "AI+" as the core strategy for digital transformation, aiming to create "4S" Smart Shenyuan: Intelligent Scenarios, Smart-trade, Synergy, and Service, to reconstruct service paradigms and unlock data value [2] - AI technology has been implemented across various business areas, including wealth management, institutional services, quantitative investment, and compliance risk control, establishing five capability centers that empower over 100 application scenarios [2] Group 3: Future Vision - The company envisions the alliance as a vibrant "innovation space" where ideas can collide and projects can be realized, positioning itself as a proactive contributor and pragmatic practitioner in the AI financial era [3]

Core Viewpoint - Anshuo Information (300380) has disclosed a detailed response report to the Shenzhen Stock Exchange regarding its plan to raise no more than 600 million yuan through a private placement, focusing on its AI transformation strategy, which raises concerns about the credibility and execution of its strategic plans due to its historical issues with misleading statements and regulatory penalties [1][7]. Group 1: Fundraising and Investment Plans - The company plans to invest the raised funds into an "AI-based smart credit system," a "comprehensive risk digital management platform," and upgrades to its digital financial R&D center, along with supplementing working capital [1][2]. - The smart credit system and risk digital management platform aim to enhance product offerings through AI technology, introducing four new modules and upgrading 11 core modules [2][3]. Group 2: Regulatory Concerns - Regulatory authorities have questioned the necessity of the projects, asking whether there is a risk of "duplicate construction" and requiring a comparison of the new technology with existing capabilities [3]. - The company claims to have obtained multiple software copyrights on its A3 Cloud technology architecture and asserts that the project will transition from "process-driven" to "intelligent decision-driven" technology [3]. Group 3: Financial Projections and Risks - The company forecasts that the smart credit system and risk digital management platform will generate annual sales revenues of 600 million yuan and 100 million yuan, respectively, but the regulatory body has raised concerns about the sufficiency of the basis for these projections [3]. - The projects are expected to incur significant financial pressure, with estimated annual depreciation and amortization of approximately 71.69 million yuan, which would account for 5.08% of projected revenue [3]. Group 4: Profitability and Asset Quality - The company's profitability has been under scrutiny, with reported net profits of -82.95 million yuan in 2022, -53.46 million yuan in the first half of 2023, and only a slight profit of 6.54 million yuan projected for 2024 [4]. - The company attributes its low profitability to macroeconomic factors affecting project delivery and acceptance efficiency, leading to increased operating costs and asset impairment losses [4]. Group 5: Historical Context and Market Sentiment - Anshuo Information has a history of misleading statements, having been penalized by the regulatory authority for deceptive practices related to its internet finance business from 2014 to 2015, which resulted in significant financial losses for investors [7][8]. - The company has not engaged in major capital operations in the past decade until this recent AI transformation proposal, which raises questions about its strategic direction and market confidence [8].

Core Insights - The article discusses the trend of former Wall Street bankers transitioning into roles as AI trainers, leveraging their financial expertise to assist AI companies like OpenAI, xAI, and Scale AI in model training [1][4][12] - This shift indicates a significant transformation in the financial industry, where AI is poised to replace entry-level positions traditionally held by human analysts and advisors [7][8][23] Group 1: Wall Street Professionals Transitioning to AI - Many Wall Street professionals, including MBA students and former hedge fund employees, are joining AI startups to utilize their financial knowledge in training AI models [3][4] - The trend reflects a broader movement where financial experts are becoming key players in shaping the future of AI in finance [4][12] Group 2: AI Companies' Recruitment Strategies - Companies like xAI and OpenAI are actively recruiting financial industry experts to enhance their AI models, with xAI planning to expand its AI tutor team by tenfold [6][13] - OpenAI's "Mercury" initiative aims to hire over 100 former Wall Street investment bankers to develop AI financial models, offering compensation of $150 per hour [7][13] Group 3: Impact on Entry-Level Financial Jobs - The rise of AI in finance is expected to lead to the elimination of many entry-level positions, as AI systems become capable of performing tasks traditionally done by junior analysts [7][8][23] - The article highlights concerns from the public regarding the potential job losses for junior bankers, with predictions that AI could surpass human capabilities in financial certifications like CFA [8][12] Group 4: Compensation and Job Market Dynamics - AI companies are offering a wide range of compensation for AI trainer roles, from $15 to $150 per hour, which may not attract top-tier Wall Street talent [21][25] - The financial industry is experiencing a wave of layoffs, with major firms like Goldman Sachs and Morgan Stanley planning significant staff reductions, further pushing former employees towards AI training roles [23][25]