证券代码：300059 证券简称：东方财富 公告编号：2025-086 东方财富信息股份有限公司 独立董事提名人声明 本公司及董事会全体成员保证信息披露内容的真实、准确和完整，没有虚假记载、 误导性陈述或重大遗漏。 提名人东方财富信息股份有限公司董事会现就提名李智平先生为东方财富 信息股份有限公司第七届董事会独立董事候选人发表公开声明。被提名人已书面 同意作为东方财富信息股份有限公司第七届董事会独立董事候选人（参见该独立 董事候选人声明）。本次提名是在充分了解被提名人职业、学历、职称、详细的 工作经历、全部兼职、有无重大失信等不良记录等情况后作出的，本提名人认为 被提名人符合相关法律、行政法规、部门规章、规范性文件和深圳证券交易所业 务规则对独立董事候选人任职资格及独立性的要求，具体声明并承诺如下事项： 一、被提名人已经通过东方财富信息股份有限公司第六届董事会提名委员会 或者独立董事专门会议资格审查，提名人与被提名人不存在利害关系或者其他可 能影响独立履职情形的密切关系。 四、被提名人符合公司章程规定的独立董事任职条件。 ☑ 是 □ 否 ☑ 是 □ 否 如否，请详细说明：___________________ ...

《东方财富信息股份有限公司募集资金管理办法》 修订对比表 全文中仅将"股东大会"修改为"股东会"、删除"监事"或"监事会"表述、 将"监事会"相关表述修改为"审计委员会"的内容不再特别列示。 | 原条款序号、内容 | 现条款序号、内容 | | --- | --- | | 第一条 为规范东方财富信息股份有限 | | | 公司（以下简称"公司"）募集资金的 | 第一条 为规范东方财富信息股份有 | | 管理和运用，保护投资者利益，根据《中 | 限公司（以下简称"公司"）募集资金 | | 华人民共和国公司法》、《中华人民共 | 的管理和运用，保护投资者利益，根据 | | 和国证券法》、《创业板上市公司证券 | 《中华人民共和国公司法》《中华人民 | | 发行注册管理办法（试行）》、《深圳 | 共和国证券法》《上市公司募集资金 | | 证券交易所创业板股票上市规则》（以 | 监管规则》《深圳证券交易所创业板 | | 下简称"《上市规则》"）、《深圳证 | 股票上市规则》等法律法规和《东方 | | 券交易所创业板上市公司规范运作指 | 财富信息股份有限公司章程》（以下 | | 引》（以下简称"《规范运作指引》"） | ...

Core Insights - A total of 343 stocks in the Shanghai and Shenzhen markets have experienced net outflows of main funds for five consecutive days or more as of November 28 [1] - Among these, Wantai Biological Pharmacy has seen the longest streak of 23 days of net outflows, while Zhongyou Capital follows with 22 days [1] - The largest total net outflow amount is from SMIC, with a cumulative outflow of 4.359 billion yuan over 11 days, closely followed by Dongfang Caifu with 4.189 billion yuan [1] Summary by Category Stocks with Longest Net Outflow Duration - SMIC: 11 days, 4.359 billion yuan, 7.37% of trading volume, -7.72% cumulative change [1] - Dongfang Caifu: 11 days, 4.189 billion yuan, 8.30% of trading volume, -6.88% cumulative change [1] - Zhongyou Capital: 22 days, 2.385 billion yuan, 13.93% of trading volume, -15.96% cumulative change [1] - Wantai Biological: 23 days, 0.425 billion yuan, 10.39% of trading volume, -14.60% cumulative change [1] Stocks with Largest Net Outflow Amount - SMIC: 4.359 billion yuan over 11 days [1] - Dongfang Caifu: 4.189 billion yuan over 11 days [1] - Longi Green Energy: 2.418 billion yuan over 7 days [1] - Daqin Railway: 2.043 billion yuan over 19 days [1] Stocks with Highest Net Outflow Ratio - *ST Dongyi: 23.13% over 8 days, -26.44% cumulative change [1] - Zhongyou Capital: 13.93% over 22 days, -15.96% cumulative change [1] - Daqin Railway: 17.14% over 19 days, -4.86% cumulative change [1] - Aier Eye Hospital: 14.77% over 14 days, -7.78% cumulative change [1]

Group 1 - The 2025 Analyst Conference and the 7th Sina Finance "Golden Unicorn" Best Analyst Award Ceremony took place on November 28, gathering over 300 authoritative scholars, public and private fund leaders, listed company chairpersons, top fund managers, and chief analysts in Shanghai to discuss future opportunities in the Chinese capital market [1] Group 2 - The results of the 7th Sina Finance Golden Unicorn Best Analyst selection were announced, with the following rankings in the coal industry: - 1st place: Changjiang Securities Research Team (Chief Analyst: Xiao Yong; Team Members: Zhao Chao, Ye Ruzhen, Zhuang Yue, Wei Siyu) - 2nd place: Guosheng Securities Research Team (Chief Analyst: Zhang Jinming; Team Members: Liu Liyu, Gao Ziming) - 3rd place: GF Securities Research Team (Chief Analyst: Shen Tao; Co-Chief: An Peng; Team Members: Song Wei, Zhang Yunhan) - 4th place: Tianfeng Securities Research Team (Chief Analyst: Zhang Xianxian; Team Members: Huang Kai, Zhu Taoyu, Jiang Meidan, Li Zezhao) - 5th place: Minsheng Securities Research Team (Chief Analyst: Zhou Tai; Team Members: Li Hang, Wang Shanshan, Lu Jiaqi) - 6th place: Dongfang Caifu Securities Research Team (Chief Analyst: Li Miao; Team Members: None) [2]

Core Insights - The Shenzhen Stock Exchange, in collaboration with the Hong Kong Stock Exchange and the Guangzhou Futures Exchange, hosted the 2025 Greater Bay Area Technology Conference focusing on "Entering the Era of Artificial Intelligence+" [1][3] - Key figures from various sectors, including government, financial markets, technology companies, and academic institutions, participated to share experiences and build consensus on the application of AI in capital markets [1][3] Agenda Summary November 28 Agenda - Keynote speeches included topics such as "Implementing the 'Artificial Intelligence+' Initiative for High-Quality Development of Capital Markets" and "Entering a New Era of Artificial Intelligence" [3] - A high-level dialogue on industry applications and governance of large models was also scheduled [3] November 29 Agenda - The agenda featured technical sharing sessions on various topics, including "Exploration and Practice of Observability in Trading Systems" and "Low-Latency Communication Optimization for Securities Trading Systems" [7][9] - Additional sessions covered the construction practices of core trading systems and the research on multi-level custody in clearing and settlement platforms [7][9] Financial AI Sub-Forum - The sub-forum included discussions on regulatory innovations and the practical applications of large models in the financial sector [8][10] - Presentations focused on the integration of AI in financial data management and the development of intelligent applications in the industry [10][11] Digital Transformation Sub-Forum - The forum addressed the transformation practices in core business and institutional services, emphasizing the role of digitalization in wealth management [12][14] - Topics included the application of digital solutions in inclusive finance and the management of customer classification [12][14]

Group 1 - The core viewpoint of the news highlights the significant growth potential in the global semiconductor industry, particularly in the wafer foundry sector, which is expected to reach $199.4 billion by 2025, reflecting a year-on-year growth of over 25% [1] - The compound annual growth rate (CAGR) for the semiconductor industry from 2025 to 2030 is projected to be 14.3%, indicating that it will be a key driver of industry prosperity [1] - Capital expenditures from leading internet companies in China and the U.S. are expected to maintain rapid growth, with projections for 2025 reaching $430.6 billion (+65%) and $602 billion (+40%) in 2026, which will support future demand for computing chips [1] Group 2 - The ChiNext 50 Index (399673) consists of the 50 stocks with the highest average trading volume in the ChiNext market, reflecting the overall performance of well-known, large-cap, and liquid companies [2] - As of October 31, 2025, the top ten weighted stocks in the ChiNext 50 Index account for 70.15% of the index, with notable companies including CATL, Zhongji Xuchuang, and Mindray [2]

Core Insights - The article highlights the increasing importance of stock trading apps in China, with monthly active users surpassing 166 million and a penetration rate of 15.46% [1] - A comprehensive evaluation of the top ten stock trading platforms is provided, focusing on their strengths and weaknesses to guide different types of investors [1] Group 1: Rankings and Scores - The top ten stock trading apps for 2025 are ranked as follows: Sina Finance APP, Tonghuashun, Dongfang Caifu, Xueqiu, Dazhihui, Zhangle Wealth, Tongdaxin, Futu NiuNiu, Tencent Self-Selected Stocks, and Niuguwang [1] - The comprehensive scores for the top three apps are: Sina Finance APP (9.56), Tonghuashun (9.16), and Dongfang Caifu (9.16) [2] Group 2: Key Features of Leading Apps - Sina Finance APP is noted for its extensive market coverage, fast data refresh rates, and advanced AI tools, making it a top choice for professional investors [4] - Tonghuashun is favored for its compatibility with 90% of brokers and user-friendly interface, although it has some limitations in data timeliness for U.S. stocks [5] - Dongfang Caifu is recognized for its comprehensive ecosystem that includes trading, community, and fund management, but it has some issues with data delays and misinformation [6] Group 3: Specialized Platforms - Futu NiuNiu is highlighted as a cross-border investment tool with low fees for Hong Kong stocks, while Xueqiu is known for its value investment community [7] - Dazhihui focuses on high-frequency trading but lacks support for emerging markets, while Tongdaxin is tailored for technical analysis enthusiasts [8] Group 4: Selection Guidance - For all-around performance, Sina Finance APP is recommended; for cross-border investments, Futu NiuNiu is ideal; and for technical analysis, Tongdaxin or Dazhihui are suitable options [9] - The article emphasizes the importance of using multiple tools to leverage their unique advantages for better investment decisions [10]

Core Insights - The article emphasizes the importance of selecting the right fund trading software over the choice of the fund itself, especially for novice investors facing a vast array of options in the market [1] - By 2025, the number of public funds is projected to exceed 10,000, creating a significant selection challenge for investors [1] Group 1: Fund Software Rankings - The comprehensive ranking of fund investment apps for 2025 has been released, highlighting the advantages of leading platforms [2] - Sina Finance APP ranks first with a score of 9.56, followed by Tonghuashun and Dongfang Caifu, both scoring 9.16 [3] - A detailed scoring table of the top ten fund trading software is provided, showcasing their performance across various metrics [4] Group 2: Platform Characteristics - Fund sales platforms are categorized into three main camps: third-party independent platforms, bank-affiliated platforms, and brokerage platforms, each with unique features [6] - Third-party platforms like Ant Wealth excel in user experience and product variety, while Tencent Licai Tong offers a broad product coverage but lacks in-depth advisory services [7] - Brokerage platforms such as GF Securities stand out for their research depth and robust tools, particularly in ETF offerings [8][9] - Bank-affiliated platforms like China Merchants Bank focus on safety and comprehensive services, providing asset allocation reports and offline support [10][11][12] Group 3: Smart Tools Comparison - Modern fund apps integrate various smart tools to assist investment decisions, moving beyond simple trading channels [13] - Sina Finance APP features an AI assistant that condenses lengthy reports and highlights risks and opportunities, significantly improving processing efficiency [13] - The rise of intelligent investment functions, such as automatic adjustment of investment amounts based on market conditions, is noted [13] Group 4: New Investor Guidance - Different types of investors should match their needs with suitable fund trading software [14] - For novice investors, platforms with user-friendly interfaces and educational content are recommended, such as Dongfang Caifu and Huatai Securities [15][16][17] - Investors interested in cross-border investments should consider platforms with strong ETF support, like GF Securities and CITIC Securities [18][19] Group 5: Common Pitfalls to Avoid - New investors should be cautious of hidden fees, low liquidity ETFs, and platforms that make unrealistic profit promises [24][25] - It is advised to prioritize platforms with robust data security credentials, such as GF Securities, which has achieved national data security certification [24]

Core Viewpoint - As of November 27, a total of 519 stocks in the Shanghai and Shenzhen markets have experienced a net outflow of main funds for five consecutive days or more, indicating a significant trend of capital withdrawal from these stocks [1]. Summary by Category Main Fund Outflow Duration - WanTai Bio has the longest continuous net outflow of main funds at 22 days, followed by ZhongYou Capital at 21 days [1]. Total Net Outflow Amount - SMIC (Semiconductor Manufacturing International Corporation) has the highest total net outflow amount, with a cumulative outflow of 4.277 billion yuan over 10 days. JiangBoLong follows with a net outflow of 3.938 billion yuan over the same period [1]. Proportion of Net Outflow to Transaction Amount - *ST Dongyi has the highest proportion of net outflow to transaction amount, with a recent decline of 22.59% over the past seven days [1]. Notable Stocks with Significant Outflows - The following stocks have notable net outflows: - SMIC: 10 days, 4.277 billion yuan, -8.44% cumulative change [1] - JiangBoLong: 10 days, 3.938 billion yuan, -26.71% cumulative change [1] - Dongfang Caifu: 10 days, 3.864 billion yuan, -7.28% cumulative change [1] - ZhongYou Capital: 21 days, 2.373 billion yuan, -16.61% cumulative change [1] - Longi Green Energy: 6 days, 2.271 billion yuan, -12.36% cumulative change [1]

Summary of Financial Technology Conference Call Industry Overview - The financial technology sector is experiencing positive policy guidance aimed at promoting high-quality development and technological investment across banking, insurance, and brokerage industries, providing long-term investment value assurance for related companies [1][18] Key Insights and Arguments - Financial IT investment continues to grow, although the growth rate is slowing down. The B-end of the securities IT sector is dominated by companies like Hang Seng, Vertex, and Jinzheng, while the C-end is led by Tonghuashun and Wealth Trend. Tonghuashun has begun to develop AI systems, but the revenue contribution is still small [1][4][5] - The financial technology index has outperformed the broader market, with Tonghuashun, Wealth Trend, and Oriental Fortune showing significant price increases. Stock prices are highly correlated with market trading activity, necessitating attention to new account openings and average daily transaction volume [1][8] - Short-term focus should be on changes in market share for Oriental Fortune's brokerage and margin financing businesses, while long-term attention should be on AI product development. The impact of fee policy adjustments on fund distribution business is limited, with overall adverse factors largely eliminated [1][9] Company-Specific Highlights - **Oriental Fortune**: Achieved significant results through a multi-license and multi-traffic ecosystem model. Short-term focus on market share changes in brokerage and margin financing, and long-term focus on AI product development [6][9] - **Tonghuashun**: Short-term performance elasticity is mainly reflected in C-end advertising and internet promotion, with significant year-on-year growth. The company assists financial institutions in generating revenue [6][10][12] - **Wealth Trend**: Relies on historical high-quality traffic and license acquisitions for monetization [6] - **Vertex and Ninefang**: Both depend on market activity for product sales growth, with a long-term focus on license monetization [12] Market Performance and Valuation - As of November 13, 2025, the financial technology index has increased by 74%, significantly outperforming the Wind All A Index (42%) and the CSI 300 Index (39%). Notable stock price increases were observed in Tonghuashun (27%), Wealth Trend (38%), and Oriental Fortune (approximately 5%) [8] - The financial technology sector's PE valuation is approximately 66 times, higher than the historical percentile of 14%. Leading companies like Oriental Fortune and Hang Seng have lower volatility in valuations, while others like Wealth Trend and Vertex show mixed valuation percentiles [16] Recommendations - Recommended companies for investment include Oriental Fortune, Wealth Trend, Hang Seng, Vertex, Changliang Technology, Yuxin Technology, and Jinzheng. These companies have strong fundamentals and configuration value, with steady growth opportunities from the ongoing promotion of Xinchuang [2][17] - Long-term investment opportunities in B-end IT companies include Hang Seng, Vertex, Changliang Technology, Yuxin Technology, and Jinzheng, all showing improving fundamentals and growth potential [21] Policy Impact - Financial technology policies from 2021 to 2025 cover multiple sectors, promoting high-quality development and encouraging investment in financial technology, which is expected to positively influence the industry's development [18] Development Directions for Financial IT Companies - Broker IT focuses on production system construction and AI system updates for new revenue. Internet finance should prioritize traffic acquisition and product license monetization, while bank IT needs to meet diverse customer service demands and focus on overseas orders [19]