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拉卡拉(300773) - 第四届董事会第十三次会议决议公告
2026-01-26 07:44
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。 证券代码:300773 证券简称:拉卡拉 公告编号:2026-002 拉卡拉支付股份有限公司 第四届董事会第十三次会议决议公告 与会董事认真审议并通过了如下议案,并决议如下: 1、第四届董事会第十三次会议决议。 一、董事会会议召开情况 拉卡拉支付股份有限公司(以下简称"公司")于 2026 年 1 月 23 日以邮件 方式发出第四届董事会第十三次会议通知,经全体董事确认,一致同意 2026 年 1 月 26 日公司以通讯方式召开会议。会议由董事长孙陶然先生主持。会议应出 席的董事 8 人,实际出席会议的董事 8 人。会议的召集和召开程序符合《中华人 民共和国公司法》和《拉卡拉支付股份有限公司章程》等的规定。 二、董事会会议审议情况 根据公司资金情况及使用计划,在不影响正常生产经营活动、保证资金流动 性和安全性的前提下,为合理利用部分闲置的自有资金,提高资金的使用效率, 提升资金收益水平,为公司及股东获取更多的投资回报,董事会同意公司使用闲 置的自有资金不超过人民币 10 亿元(含)进行委托理财,期限内任一时点的交 ...
2025年四季度非银板块基金持仓分析:保险券商均获增配,看好居民资金入市下的非银机会
Investment Rating - The report assigns an "Overweight" rating to the industry, indicating a positive outlook for investment opportunities in the non-bank financial sector [5][14]. Core Insights - The report highlights that the non-bank sector is currently underweight by 3.08 percentage points, despite an increase in holdings during the fourth quarter of 2025. It emphasizes the potential for profit improvement and low valuations in non-bank stocks due to the influx of household funds into the market [3][5]. - The report notes a significant increase in the allocation to the insurance sector, with the proportion rising from 1.03% to 2.13%, while the insurance index saw a substantial increase of 23.42% in the fourth quarter [5][8]. - The report suggests that the brokerage sector has also received increased allocations, with public fund holdings rising from 0.85% to 1.08%, although it remains underweight by 2.30 percentage points [5][8]. Summary by Sections Non-Bank Sector - The non-bank sector remains underweight overall by 3.08 percentage points, with a positive outlook for long-term capital inflows and wealth management opportunities [5][8]. - Specific recommendations include increasing holdings in companies such as Jiufang Zhituo Holdings, Tonghuashun, Guoxin Securities, and others, as they are expected to benefit from the ongoing market dynamics [5][8]. Insurance Sector - The insurance sector's allocation has increased significantly, with a focus on low-valuation stocks as capital continues to flow into the market. The report recommends increasing holdings in China Life, Ping An, and China Pacific Insurance [5][8]. Brokerage Sector - The brokerage sector has seen a rise in public fund holdings, with notable increases in individual stocks like CITIC Securities and Huatai Securities. The report suggests that the retail business share is likely to improve, making these stocks attractive [5][8]. Financial Technology and Diversified Finance - The report indicates a decrease in the allocation to diversified finance and financial technology sectors, but highlights potential investment opportunities in companies like Lakala and Yuexiu Financial Holdings due to ongoing policy support and technological advancements [5][8].
马斯克盛赞中国AI+多部委重磅政策连发,AI应用板块风口已至,全产业链机遇深度拆解
Xin Lang Cai Jing· 2026-01-23 13:09
Group 1 - Zhejiang Wenchuang Internet focuses on digital marketing and cultural technology, integrating AI into smart marketing and digital content creation, enhancing brand marketing digital transformation across various industries [1][17] - Saiwu Technology collaborates with Suzhou University to establish the AI4S laboratory, creating a closed loop of "AI screening - process optimization - mass production," significantly increasing revenue in related businesses [1][18] - Huashi Technology strategically invests in Yuchuang Robotics, applying AI in various scenarios such as airport monitoring and risk warning, providing intelligent solutions for smart cities [1][19] Group 2 - Yidian Tianxia leverages AI for global smart marketing, developing a full-chain solution that includes multi-language digital content generation and intelligent ad optimization [2][18] - Tongda Hai builds a comprehensive legal knowledge graph using vast legal data, enhancing judicial efficiency through its self-developed AI platform [2][19] - Sanwei Communication's subsidiary, Juwang Technology, utilizes AI for advertising material generation and optimization, significantly improving marketing efficiency [2][19] Group 3 - BlueFocus is a leader in AI marketing, applying AI across the entire marketing chain, including creative generation and effect analysis, to drive digital transformation in the marketing industry [3][19] - Huashu Media actively promotes AI integration in broadcasting, enhancing user experience through smart content recommendations and network optimization [3][20] - Subot constructs a cross-disciplinary platform for material and intelligent mechanics, driving high-end material development and optimizing production processes [3][20] Group 4 - Shiji Tianhong integrates AI into education, enhancing digital transformation in educational support services through intelligent systems [4][20] - Hongbo Pharmaceutical's AI drug design platform focuses on cyclic peptide drug development, significantly improving drug design efficiency and accuracy [5][21] - Tianlong Group's self-developed platform empowers digital marketing across various industries, enhancing customer acquisition and conversion rates [5][21] Group 5 - Yanshan Technology integrates AI into internet services and supply chain management, optimizing marketing and operational efficiency [6][22] - ChaoTu Software merges AI with GIS, enabling intelligent spatial data processing and analysis for smart city applications [6][22] - Heren Technology focuses on smart healthcare, developing AI systems to assist medical personnel and improve operational efficiency [6][23] Group 6 - Youzu Network applies AI throughout game development and operation, enhancing player engagement and experience [6][23] - Jinka Intelligent integrates AI into gas metering, improving management efficiency and safety in gas supply [7][24] - Liard incorporates AI into display technology, optimizing visual experiences and expanding applications in smart displays [7][24] Group 7 - Guanshang Technology focuses on military equipment lifecycle management using AI for fault diagnosis and training simulation [7][25] - Zhidema applies AI in consumer decision-making and e-commerce marketing, enhancing product recommendations and marketing strategies [7][25] - Runda Medical enhances laboratory testing processes with AI, improving detection accuracy and efficiency [7][25] Group 8 - Tiandi Online specializes in digital marketing, utilizing AI for user profiling and intelligent ad targeting [8][26] - Qianfang Technology focuses on smart transportation, developing AI systems for traffic management and vehicle recognition [8][26] - Jiaxun Feihong integrates AI into communication and rail transit, enhancing operational efficiency and safety [8][26] Group 9 - Jiadu Technology applies AI in smart city and rail transit, enhancing safety monitoring and automation [8][27] - Jiuzhoutong empowers pharmaceutical supply chains with AI for demand forecasting and inventory management [8][27] - Weining Health focuses on comprehensive smart healthcare solutions, enhancing operational efficiency and cost control [8][27] Group 10 - Dianke Digital strengthens IT service capabilities with AI, focusing on data center operations and security [8][28] - Guangting Information specializes in intelligent connected vehicles, developing AI systems for driving assistance and data governance [8][28] - Rongxin Culture integrates AI into children's publishing, enhancing reading experiences and content creation [8][29] Group 11 - Zhaochi Co. introduces AI in consumer electronics and lighting, optimizing product performance and supply chain management [8][29] - Jinxiandai focuses on industrial software, enhancing digital transformation through AI-assisted development and operations [8][30] - Huatu Shanding integrates AI into architectural design, improving efficiency and precision in building projects [8][30] Group 12 - Lakala enhances payment services with AI, improving transaction security and merchant support [8][30] - Yingjianke focuses on building design software, utilizing AI for structural optimization and efficiency [8][30] - Borui Communication empowers media and digital culture with AI, enhancing content delivery and user engagement [8][31] Group 13 - Haoyun Technology enhances security IoT with AI, providing risk assessment and decision support [8][31] - Shenguang Group leverages AI for digital marketing, optimizing user targeting and ad performance [8][31] - Oriental Pearl actively promotes AI in broadcasting, enhancing content production and user experience [8][31] Group 14 - Zhizhen Technology focuses on IT operations in communication and government sectors, utilizing AI for efficient management [8][32]
突发,资金尾盘重金杀入!金融科技ETF(159851)放量涨逾1%,净申购飙增超4亿份!谁在抢筹?
Xin Lang Ji Jin· 2026-01-23 12:03
Core Insights - The A-share market experienced a significant increase on January 23, with the financial technology sector showing strong performance, particularly led by companies like Xinghuan Technology, which rose over 10% [1] - The financial technology ETF (159851) saw a 1.36% increase, with a total trading volume of 816 million yuan and a net inflow of 426 million shares, indicating strong investor interest [1] - The overall market analysis suggests that the financial technology sector's rise is driven by positive earnings forecasts and market expectations [2] Earnings Catalysts - A-share trading volume has exceeded 2 trillion yuan for 19 consecutive trading days, with internet brokerage firms expected to continue reporting strong earnings. For instance, Tonghuashun's 2025 profit forecast indicates a year-on-year growth of 50% to 80%, reaching 2.735 to 3.282 billion yuan, benefiting from AI investments and market recovery [1][2] Market Expectations - CITIC Securities noted that the market is transitioning to a slow bull phase, with the securities sector expected to participate in this trend. The activity level in the stock market is a key indicator of the valuation and performance of the securities industry [2] AI Empowerment in Financial IT - Guotai Junan Securities highlighted that AI is driving the upgrade of the financial technology industry, enhancing efficiency and experience across financial services. This presents new investment opportunities in the sector [2] ETF Performance - As of January 23, the financial technology ETF (159851) has a scale exceeding 10.5 billion yuan, with an average daily trading volume of 800 million yuan over the past six months, leading among eight ETFs tracking the same index in terms of scale and liquidity [2]
多元金融板块1月23日涨1.06%,拉卡拉领涨,主力资金净流出1359.95万元
Market Performance - The diversified financial sector increased by 1.06% on January 23, with Lakala leading the gains [1] - The Shanghai Composite Index closed at 4136.16, up 0.33%, while the Shenzhen Component Index closed at 14439.66, up 0.79% [1] Top Gainers - Lakala (300773) closed at 29.20, up 4.70% with a trading volume of 926,800 shares and a transaction value of 2.682 billion [1] - Hainan Huatie (603300) closed at 7.65, up 3.24% with a trading volume of 1,021,600 shares and a transaction value of 776 million [1] - Wukuang Rongben (600390) closed at 6.04, up 3.07% with a trading volume of 1,507,800 shares and a transaction value of 927 million [1] Top Losers - Jiuding Investment (600053) closed at 22.20, down 5.57% with a trading volume of 176,800 shares and a transaction value of 401 million [2] - ST Nengmao (600599) closed at 8.55, down 1.16% with a trading volume of 38,300 shares and a transaction value of 32.738 million [2] - Jiangsu Jinzu (600901) closed at 6.13, down 0.97% with a trading volume of 230,600 shares and a transaction value of 142 million [2] Capital Flow - The diversified financial sector experienced a net outflow of 13.5995 million from institutional investors, while retail investors saw a net inflow of 186 million [2] - The overall capital flow indicates a mixed sentiment, with institutional investors withdrawing funds while retail investors are actively buying [2] Individual Stock Capital Flow - Lakala saw a net inflow of 16.8 million from institutional investors, but a net outflow of 78.8714 million from speculative funds and 89.5493 million from retail investors [3] - Hainan Huatie had a net inflow of 63.0874 million from institutional investors, with outflows from both speculative and retail investors [3] - Zhejiang Dongfang (600120) had a net inflow of 32.0632 million from institutional investors, while also experiencing outflows from speculative and retail investors [3]
多元金融板块1月20日跌0.67%,拉卡拉领跌,主力资金净流出7.46亿元
从资金流向上来看,当日多元金融板块主力资金净流出7.46亿元,游资资金净流入3.36亿元,散户资金净 流入4.1亿元。多元金融板块个股资金流向见下表: | 代码 | 名称 | 收盘价 | 涨跌幅 | 成交量(手) | 成交额(元) | | | --- | --- | --- | --- | --- | --- | --- | | 000987 | 越秀资本 | 10.52 | 1.74% | 315.61万 | | 32.84亿 | | 600517 | 国网英大 | 7.04 | 1.73% | 111.40万 | | 7.83亿 | | 000415 | 渤海相赁 | 4.20 | 1.20% | 82.49万 | | 3.46亿 | | 600901 | 江苏金租 | 6.15 | 0.82% | 0 23.22万 | | 1.42亿 | | 6650009 | *ST熊猫 | 8.37 | 0.60% | 2.79万 | | 2311.62万 | | 000563 | 陕国投 A | 3.58 | 0.56% | 55.13万 | | 1.97亿 | | 002316 | 亚联发展 | 5.44 | ...
拉卡拉:持续推动海外相关牌照申请落地
Jin Rong Jie· 2026-01-20 01:20
Core Viewpoint - The company is actively pursuing the application for the Luxembourg PI payment license as part of its international expansion strategy [1] Group 1 - Investors inquired about the company's efforts to obtain the Luxembourg PI payment license [1] - The company expressed gratitude for the interest and confirmed its commitment to accelerating international expansion [1] - The company is continuously promoting the application for overseas licenses in line with its strategic and business planning [1]
金融科技行业双周报第二十一期:AI应用加速落地,利好金融科技板块-20260118
Investment Rating - The report assigns an "Increase" rating for the financial technology sector, indicating a positive outlook compared to the benchmark index [5][34]. Core Insights - The acceleration of AI applications is driving growth in the financial technology sector, with significant increases in stock prices observed during the reporting period [2][8]. - The financial technology index rose by 7.4% from January 4 to January 16, 2026, outperforming the Shanghai and Shenzhen 300 index, which increased by 2.2% [8][12]. - Key segments within the financial technology sector, such as financial IT and financial information services, have shown remarkable performance due to the positive impact of AI applications [9][12]. Summary by Relevant Sections AI Applications and Financial Technology Growth - The financial technology sector has seen a surge in stock prices, with notable increases in financial IT and financial information services, attributed to the recent advancements in AI applications [9][12]. - The financial IT segment experienced a growth of 10.59%, while financial information services grew by 13.06% during the reporting period [12]. Financial IT Upgrades and Market Stability - Collaborations between financial institutions and technology companies are enhancing operational efficiency and service delivery, such as the partnership between UnionPay and Industrial and Commercial Bank of China to utilize digital RMB for elder care services [13][14]. - The introduction of AI-driven operational frameworks is transforming financial operations, exemplified by the collaboration between Huawei and Bank of Communications [14]. Regulatory Developments in Financial Information Services - Recent regulatory changes, including the adjustment of margin requirements for financing transactions, aim to mitigate leverage risks in the market [15]. - The tightening of regulations in the financial information services sector is expected to enhance market stability and investor confidence [15][17]. Third-Party Payment and Compliance Enhancements - The People's Bank of China has introduced new anti-money laundering regulations that will significantly impact compliance processes within financial institutions [17]. - Adjustments in transaction fees by payment platforms aim to improve user experience while adhering to regulatory requirements [18]. Consumer Finance Sector Developments - A notable case of regulatory action was taken against a bank for imprudent loan practices, marking a significant enforcement action in the consumer finance sector [19]. Individual Company News and Announcements - Key developments include the completion of a cross-border acquisition by Jiufang Zhitu and the implementation of share reduction plans by executives at Dongfang Caifu [20][22]. - Innovations in AI assessment benchmarks and data management platforms have been introduced by companies like Qifu Technology and Changliang Technology, enhancing their competitive positioning in the market [20][21]. Investment Recommendations - The report highlights several companies poised to benefit from the ongoing digital RMB initiatives and AI advancements, including Changliang Technology, Yuxin Technology, and Jiufang Zhitu [26]. - The potential for growth in the consumer finance sector is also noted, with recommendations for companies focusing on intelligent customer service and marketing solutions [26].
应声20CM涨停!A股年报行情如火如荼,16家上市公司净利最高同比预增超200%
Xin Lang Cai Jing· 2026-01-18 09:48
Core Viewpoint - The A-share annual report season is in full swing, with significant performance forecasts for 2025 from various companies, leading to notable stock price increases for several firms [1] Group 1: Performance Forecasts - A total of 366 A-share listed companies have released their 2025 annual performance forecasts, with 16 companies expecting a year-on-year net profit increase of over 200% [1] - SAIC Motor Corporation leads with an expected net profit increase of 438% to 558%, projecting a profit of 9 billion to 11 billion yuan due to increased vehicle sales and a low base from asset impairment in 2024 [2][3] - BAW Storage anticipates a net profit of 850 million to 1 billion yuan, representing a year-on-year growth of 427.19% to 520.22%, driven by a recovery in storage prices and strong demand in AI sectors [3] Group 2: Sector Highlights - Longxin Bochuang expects a net profit of 320 million to 370 million yuan, reflecting a growth of 344.01% to 413.39%, supported by increased demand in data communication markets [5] - Lakala forecasts a net profit of 1.06 billion to 1.2 billion yuan, a growth of 202% to 242%, attributed to increased transaction volumes in cross-border payments and stock investment gains [5] - Shanhua Pharmaceutical anticipates a net profit of 165 million to 194 million yuan, with a growth of 38.16% to 62.45%, driven by strong order volumes in both domestic and foreign markets [7] Group 3: Market Reactions - Following the performance forecasts, several companies experienced significant stock price increases, with Lakala and Shanhua Pharmaceutical both hitting the 20% daily limit up [1][5] - BAW Storage's stock rose over 17% after its earnings announcement, reflecting positive market sentiment towards its growth prospects in AI and advanced packaging solutions [3]
多元金融板块1月16日跌1.09%,爱建集团领跌,主力资金净流出7.92亿元
Market Overview - The diversified financial sector experienced a decline of 1.09% on January 16, with Aijian Group leading the drop [1] - The Shanghai Composite Index closed at 4101.91, down 0.26%, while the Shenzhen Component Index closed at 14281.08, down 0.18% [1] Stock Performance - Jiuding Investment (600053) saw a significant increase of 10.00%, closing at 23.10 with a trading volume of 227,700 shares and a turnover of 503 million yuan [1] - ST Rendo (002647) rose by 4.99% to close at 9.46, with a trading volume of 229,800 shares and a turnover of 215 million yuan [1] - Guowang Yingda (600517) increased by 3.13% to 6.58, with a trading volume of 1,221,400 shares and a turnover of 820 million yuan [1] - Aijian Group (600643) fell by 7.75% to 5.12, with a trading volume of 509,300 shares and a turnover of 267 million yuan [2] - Lakala (300773) decreased by 5.37% to 28.56, with a trading volume of 1,018,900 shares and a turnover of 2.978 billion yuan [2] Capital Flow - The diversified financial sector saw a net outflow of 792 million yuan from main funds, while retail investors contributed a net inflow of 466 million yuan [2] - The main funds showed a net inflow in Jiuding Investment of 62.62 million yuan, while Guowang Yingda had a net inflow of 53.86 million yuan [3] - ST Rendo experienced a net inflow of 34.81 million yuan from main funds, but also saw significant outflows from retail investors [3]