所有有意參與電話會議的與會者務必使用以下鏈接在線上作好提前登記。 登記鏈接：https://s1.c-conf.com/diamondpass/10051202-aikhpy.html 登記後，每位與會者將收到電話會議的詳情，包括撥入號碼及專屬進入PIN。請 於電話會議擬定開始時間前10分鐘撥入。 香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性 或完整性亦不發表任何聲明，並明確表示概不會就本公告全部或任何部分內容而產生或因倚賴 該等內容而引致的任何損失承擔任何責任。 Qfin Holdings, Inc. 奇富科技股份有限公司 （於開曼群島註冊成立的有限公司） （股份代號：3660） 董事會會議日期及刊發2025年第三季度財務業績公告日期 奇富科技股份有限公司（「本公司」）董事會（「董事會」）將於2025年11月18日（星期 二）（北京╱香港時間）舉行董事會會議，旨在（其中包括）批准本公司截至2025年 9月30日止第三季度的未經審計財務業績及公告（「2025年第三季度財務業績」）。 本公司將於2025年11月19日（星期三）（北京╱香港時間）在香港聯合交易所有限 公司交易 ...

Core Viewpoint - Qfin Holdings, Inc. will report its unaudited financial results for Q3 2025 on November 18, 2025, after U.S. markets close [1] Group 1: Financial Reporting - The earnings conference call is scheduled for 7:30 PM U.S. Eastern Time on November 18, 2025 [2] - Participants must pre-register online to join the conference call [3] - A live and archived webcast of the conference call will be available on the Company's Investor Relations website [4] Group 2: Company Overview - Qfin Holdings is a leading AI-empowered Credit-Tech platform in China, providing technology services for the loan lifecycle [5] - The Company utilizes machine learning models and data analytics to enhance credit services for financial institutions, consumers, and SMEs [5]

Market Overview - On October 31, the three major U.S. stock indices experienced slight gains, with the Dow Jones up 0.09%, the S&P 500 up 0.26%, and the Nasdaq up 0.61%. The Dow and S&P 500 marked their sixth consecutive monthly increase, while the Nasdaq achieved its seventh [1][3]. Technology Sector Performance - Despite strong earnings reports from major U.S. tech companies and ongoing AI investments, concerns over Federal Reserve policy divergence, high interest rates affecting real estate and consumer spending, government shutdown risks, and trade uncertainties are suppressing the upward potential of U.S. stocks. The market sentiment is becoming increasingly cautious regarding growth prospects [3]. - The major U.S. tech stocks showed mixed results, with the Wande American Tech Giants Index rising 0.69%. Notably, Tesla rose nearly 4%, while Microsoft fell over 1%, Facebook dropped nearly 3%, and Apple decreased by 0.38%. Amazon's stock opened with a significant increase of 12.2%, adding approximately $274.2 billion (about 1.95 trillion RMB) to its market value, and closed up over 9% [3][4]. Amazon's Financial Results - Amazon reported third-quarter net sales of $180.2 billion, a year-on-year increase of 13%, surpassing market expectations of $177.8 billion. The net profit reached $21.2 billion, showing a nearly 40% year-on-year growth. The standout was the AWS cloud business, which saw a 20% year-on-year revenue increase to $33 billion, exceeding analyst expectations and marking the strongest growth since 2022 [3]. Nvidia's Developments - Nvidia's stock fluctuated, initially rising over 2% before closing down 0.2%, with a market capitalization of $4.9 trillion. On October 31, Nvidia announced a collaboration with the South Korean government and major industry players like Samsung, Hyundai, and SK Group to deploy over 260,000 GPUs in South Korea, aiming to build a national AI infrastructure and "AI factory" clusters to enhance the country's manufacturing and digital economy [3]. Chinese Stocks Performance - The Nasdaq Golden Dragon China Index rose by 0.53%, while the Wande Chinese Tech Leaders Index fell by 1.70%. Among individual stocks, Atlassian Solar surged nearly 16%, Qifu Technology rose over 13%, and Lukoil increased by over 11%. Conversely, Pony.ai dropped over 5%, TAL Education fell by more than 5%, Alibaba decreased by about 2%, and JD.com fell nearly 1% [4]. Commodity Market Insights - The FTSE A50 futures index rose by 0.19%, closing at 15,280 points. In the precious metals market, spot gold fell by 0.51% to $4,004.02 per ounce, with a cumulative increase of 3.74% in October. Gold futures on COMEX rose by 0.06% to $4,018.50 per ounce, while spot silver decreased by 0.54% to $48.6651 per ounce [5][6]. - Oil prices continued to rise, with the main U.S. oil contract closing up 0.51% at $60.88 per barrel, while Brent crude rose by 0.43% to $64.65 per barrel. As of the week ending October 28, speculative net long positions in Brent crude on the Intercontinental Exchange increased significantly by 119,046 contracts to 171,567 contracts, indicating a growing bullish sentiment in the market [6].

Group 1 - Fintech companies are revolutionizing consumer finance by enabling the movement of large sums of money without the need for traditional bank branches [1] - These companies have significantly reduced the historical barriers to entry in the financial services sector, allowing for greater accessibility and efficiency [1] Group 2 - The article highlights the author's extensive experience in investment analysis, particularly focusing on deep-discount value plays and underappreciated companies [1] - The author's investment philosophy is influenced by contrarian strategies, aiming to identify companies that can return value to investors [1]

Summary of Key Points Core Viewpoint - As of October 14, a total of 75 stocks reached their 52-week highs, with notable performances from Lihua Securities Holdings (08350), Deutsche Bank Tianxia (02418), and Chuangsheng Holdings (02680) [1]. 52-Week Highs - Lihua Securities Holdings (08350) achieved a closing price of 0.325, with a peak of 0.390, marking a high rate of 34.48% - Deutsche Bank Tianxia (02418) closed at 8.120, reaching a maximum of 8.990, with a high rate of 24.86% - Chuangsheng Holdings (02680) closed at 12.100, peaking at 12.350, with a high rate of 23.50% - Other notable stocks include Century United Holdings (01959) with a high rate of 20.97% and Silicon Xin Group (08349) with 14.38% [1]. 52-Week Lows - Hengda Group Holdings (03616) recorded a closing price of 0.345, with a low of 0.300, reflecting a decline rate of -11.76% - China Technology Industry Group (08111) reached a low of 0.085, with a decline rate of -8.89% - Other significant declines include Golden Leaf International Group (08549) at -8.06% and Changfeng Pharmaceutical (02652) at -4.90% [3].

Core Insights - The 10th Huawei Connect Conference (HUAWEI CONNECT 2025) was held in Shanghai, focusing on AI acceleration in financial technology (FinTech) innovation [1] - The chief algorithm scientist of Qifu Technology, Fei Haojun, highlighted three core challenges faced by microfinance: low data transparency, diverse enterprise types leading to disorganized data formats, and traditional risk control models lacking deep causal and logical reasoning capabilities [1] Company Developments - Qifu Technology is upgrading its core capabilities in perception, cognition, and logical decision-making to build a new generation of intelligent decision engines [1] - The company has developed a proprietary multimodal large model (MLLM) specifically for the financial sector, which excels in parsing vast amounts of non-standard documents like bank statements and income proofs, showing significant advantages in accuracy and recall compared to mainstream open-source models [1] - Qifu Technology has created three knowledge graphs covering 33 million enterprise entities, including enterprise relationship graphs, product graphs, and event graphs, enabling deep understanding of industry characteristics and complex relationships [1] Technological Innovations - The company has developed a reasoning large model (Reasoning LLM) for risk management in micro-enterprises, which features transparent interpretability and high efficiency, with traceable decision processes [2] - The model's accuracy and reliability are enhanced through long-chain reasoning data construction (LongCoT) and reinforcement learning (RL) mechanisms, allowing better understanding and explanation of micro-enterprise business operations [2] - Qifu Technology aims to enhance operational efficiency and risk control precision for financial institutions while promoting deeper understanding and precise services for each micro-enterprise [2]

新浪财经 康路 发自纽约 在全球人工智能加速演进的背景下，金融行业正被视为最具突破性的应用场景之一。奇富科技CEO吴海 生在纽约与新浪财经对话指出，金融科技是AI最适合的落地领域。他解释道，金融的本质是基于数据 及对物理场景理解的智能决策，AI能够让风险判断更精准、普惠覆盖更广泛，推动整个行业产生革命 性变化。 与早期提升客服、外呼等效率型应用不同，AI如今正在进入更深层次的金融决策环节。吴海生介绍， 公司模型已在实际业务中帮助银行识别出财务造假与欺诈行为，避免重大损失。"过去依赖有限规则， 今天多模态推理能从视频、语音、合同和经营场景中提取百万维度的信息，判断企业陈述真伪或者帮助 企业自证，这是过去人类风控无法完成的。" 在商业模式上，吴海生认为不必拘泥于SaaS订阅或分成模式，"只要能解决问题，商业模式自然会找到 答案"。他指出，目前更重要的是证明AI在金融场景中确实能够解决现有互联网系统无法解决的难题， 例如通过风控让银行整体风险下降哪怕0.1个百分点，都会是对行业的重大推动。 在出海战略上，更倾向于监管成熟、规则清晰的市场，通过与当地金融机构合作建立长期价值。吴海生 表示，AI赋能金融的核心在于以技术 ...

Group 1 - The AI Agent sector is experiencing explosive growth, with a total addressable market (TAM) estimated at approximately 3.61 trillion yuan, expected to accelerate penetration into core scenarios [1] - Major internet companies are launching their own AI Agent products for consumer scenarios, such as Meituan's "Xiao Mei" and Alipay's intelligent assistant [1] - Qifu Technology (QFIN.US/03660.HK) has developed the "Qifu Credit Super Intelligent Agent," the first AI agent empowering core credit business, successfully implemented in multiple financial institutions [1] Group 2 - Qifu Technology was recognized in four categories at the 2025 Shanghai Top 100 Enterprises event, including Shanghai's Top 100 Enterprises and Top 100 Private Enterprises [2] - The recognition underscores Qifu Technology's comprehensive strength in technology innovation, market expansion, and operational management [3] - The company has invested nearly 10 billion yuan in R&D, with a team of over 1,000, focusing on the integration of AI and financial applications [3] Group 3 - Qifu Technology reported a revenue of 5.216 billion yuan for Q2 2025, a year-on-year increase of 25.4% and a quarter-on-quarter increase of 11.2%, with a net profit of 1.734 billion yuan, up 25.6% year-on-year [4] - The company's robust risk control system and compliance management position it well to capture more market share amid increasing financial regulation [4]

Core Insights - The article highlights the role of small and micro enterprises in rural revitalization and county economic development, emphasizing their potential and vulnerabilities due to lack of funding, collateral, and credit [1][2] Group 1: Financial Support Initiatives - Qifu Technology is leveraging financial support for geographical indication products as a breakthrough, collaborating with various governmental and industry bodies to promote "financial + technology + geographical indication + rural revitalization" [1][2] - The initiative aims to inject confidence and momentum into private small and micro enterprises, marking it as the first nationwide financial technology empowerment action targeting the geographical indication product industry chain [1][2] Group 2: Geographical Indication Industry Overview - Fujian province has 782 geographical indication products and 674 geographical indication trademarks, ranking second nationally, with a total industry output value exceeding 400 billion yuan [2] - The geographical indication industry has achieved full coverage in counties, benefiting over 500 towns and more than 10 million people [2] Group 3: Challenges Faced by Enterprises - Small and micro enterprises face significant challenges in converting regional characteristics into tangible income and rural employment due to a lack of recognized financial records and collateral [2] - Innovative approaches such as pledging trademark rights, especially geographical indication trademarks, are suggested to unlock funding for industry development [2] Group 4: Technological Innovations - Qifu Technology has developed a "Small and Micro Enterprise Credit Recognition Intelligent Agent" to reconstruct the credit system and break down information barriers, enhancing the efficiency and accuracy of credit assessments [3] - The technology utilizes multi-modal perception to analyze images and videos, creating a comprehensive profile of enterprises and integrating over 700 models for risk decision-making [3] Group 5: Future Directions - Qifu Technology plans to focus on the short-term financing needs of small and micro enterprises, continuously iterating on big data risk control and AI models to create flexible, cost-effective, and efficient credit products [4] - The company aims to penetrate rural areas, ensuring that financial resources are accurately directed to local agricultural and economic activities [4]

Core Insights - The 2025 Shanghai Top 100 Enterprises list was officially released, recognizing outstanding companies contributing to Shanghai's economic development, with Qifu Technology ranking in four categories [1] - Qifu Technology's recognition reflects its leading position in technological innovation and significant achievements in market expansion, management, and business model innovation [1] Group 1: Company Achievements - Qifu Technology was listed in the 2025 Shanghai Top 100 Enterprises, 2025 Shanghai Service Industry Top 100, 2025 Shanghai Private Enterprises Top 100, and 2025 Shanghai Emerging Industries Top 100 [1] - The company has invested nearly 10 billion yuan in technology innovation and has built a research and development team of over 1,000 people, focusing on the integration of artificial intelligence and finance [2] - Qifu Technology has applied for 961 patents and holds over 80 software copyrights, showcasing its commitment to research and development [2] Group 2: Strategic Focus - The core strategic direction of Qifu Technology is to leverage artificial intelligence to assist in the intelligent transformation of banking [2] - The company has developed the "Qifu Credit Super Intelligent Body," which integrates various modules for credit decision-making and compliance, significantly enhancing operational efficiency [2] - Qifu Technology aims to continue increasing its R&D investment to enhance product and service competitiveness, contributing to Shanghai's global technology innovation center [2]