凌晨三点，美股市场突然波动，一位投资者的手机屏幕亮起，新浪财经APP的预警弹窗比股价异动提前 了8秒弹出，这正是2025年港股炒股软件技术进化的缩影。 恒生指数在2025年冲破25000点，港股投资者规模已突破2800万，其中移动端交易占比高达83%。 在这个数字金融时代，投资者对工具的需求从未如此迫切。从盯盘、看新闻到分析、执行交易，一款优 质的投资软件已经成为决定投资成败的"数字军师"。 01 市场全景 随着港股市场国际化与新经济板块持续扩容，2025年港股投资者日均使用投资类APP时长同比增长了 37%。 高频交易用户对行情数据响应速度的要求已提升至0.2秒以内。 炒股APP市场已形成清晰的梯队格局。根据2025年专业评测，排名前列的港股炒股软件包括新浪财经 APP、富途牛牛、同花顺、雪盈证券和华盛证券等。 这些软件已从单纯的行情查看工具，进化为融合全球监控、智能解析、策略执行的决策中枢。 2025年十大炒股软件评分排行显示，新浪财经APP以9.56分的综合评分位居榜首。在数据覆盖、资讯质 量、智能工具、交易体验和社区生态五大核心维度均表现优异。 02 领先者分析 新浪财经APP在激烈的市场竞争中脱颖而 ...

中欧国际工商学院党委书记马磊表示，该课程由学院研发团队历时半年自主开发，拥有自主知识产权。 与当前AI在教育领域多用于知识答疑等效率提升的具体场景不同，中欧的课程构建了一套系统性应用 体系，助力学员从依赖经验和理论，转向依托大数据与模型推演的"智能决策"。中欧将以此课程为起 点，逐步构建"AI课程平台生态"：一方面推动营销学、战略学、管理学、金融学等多学科融合的AI教学 创新，为学生提供贯穿商业全链条的AI赋能教育体验；另一方面与企业合作开发行业垂直场景的智能 体，实现教学与实践双向赋能。未来，中欧希望打造一个"商科教育App Store"，学员可以灵活调用不同 学科的AI工具模块，搭建成适合自身企业的智能决策系统，解决实际问题。 经济观察网12月12日，中欧国际工商学院率先推出全球首个AI智能体课程——"AI赋能企业盈利战略"。 该课程是中欧AI赋能商科教育系列课程的首发之作，也是全球首个系统性融入AI智能体教学模式的课 程。 中欧国际工商学院院长、管理学教授汪泓指出，面对技术浪潮，商学院必须积极探索和创新教学方法， 培养融会贯通AI理论、技术、产品与应用的复合型人才。中欧长期关注AI对企业战略、组织管理等 ...

在生成式AI浪潮席卷全球的当下，12月12日，中欧国际工商学院率先推出全球首个AI智能体课程 ——"AI赋能企业盈利战略"。该课程是中欧AI赋能商科教育系列课程的首发之作，也是全球首个系统性 融入AI智能体教学模式的课程，彰显了中欧作为一所勇立潮头的商学院对时代变革的积极回应，推动 商学院价值创新，让AI真正赋能课堂教学和企业实践，引领商科教育迈入"智效融合"新时代。 亮点一：价值创新——打通从理论到实践的"最后一公里" AI技术正颠覆性地重塑企业生产与组织模式，也对管理知识的创新、商科教育的人才培养模式提出了 全新要求。 课程主设计师、中欧国际工商学院营销学助理教授鲁薏介绍了课程首创的智能体"三重角色"。首先，作 为工具，AI可自动完成数据分析和模型计算。她指出，定价决策是一门跨学科、跨专业的课程，涉及 经济学、营销学、会计学等不同领域知识和量化分析内容，AI工具有效解决了商学院量化课程的授课 痛点，将复杂的数学计算和模型封装为交互工具，使学员能聚焦于决策逻辑而非数学过程，实现不同背 景学习者的"认知平权"。其次，作为合作伙伴，系统引入"虚拟人设（Persona）"功能，模拟消费者、企 业内部不同职能部门的 ...

Core Insights - The "Xiaogan Shouheng City Phase II Investment Signing Conference" was held in Xiaogan, Hubei, resulting in five partnerships covering the entire agricultural product circulation chain [1] - The project will expand the existing cold chain storage capacity from 150,000 tons to 650,000 tons, establishing the largest smart cold chain hub in Central China [1] - The initiative aims to create a billion-level industrial cluster by integrating trading, processing, logistics, exhibitions, and e-commerce, potentially generating 100,000 jobs [1] Summary by Sections Project Overview - Xiaogan Shouheng City Phase II will add 500,000 tons of cold chain storage to the existing 150,000 tons, forming a total of 650,000 tons [1] - The project will enable one-hour fresh food delivery to the Wuhan metropolitan area [1] - It will also establish a one-stop food processing base, increasing product value by 3-5 times [1] Partnerships and Collaborations - Five groups of partnerships were formed, including 10 leading cold chain and processing companies to strengthen the industry foundation [1] - Ten banks will provide customized financing services to address the financing challenges faced by small and medium-sized enterprises [1] - International collaborations with companies from Singapore, Brazil, and New Zealand will enhance the global supply chain network [1] Technological Advancements - The Xiaogan government signed an agreement with Shouheng Group to establish an AI computing center focused on agricultural products [2] - The AI center aims to reduce circulation losses by 15%-20% and shift traditional decision-making to intelligent decision-making [2] Economic Impact - The first phase of the project achieved a trading volume of 10 million tons and a trading value of 100 billion yuan within two years [2] - The project has attracted over 3,000 merchants and offers more than 1,000 agricultural product varieties, benefiting nearly 20,000 farmers with an average annual income increase of 50,000-80,000 yuan [2]

Core Insights - The signing ceremony for the second phase of the Xiaogan Shouheng City招商 was held on November 28, showcasing the upgrade of the Central China agricultural product trading hub with highlights including the establishment of an AI computing center and the signing of five major agreements [2][3] - The first phase of Shouheng City achieved a "double thousand" milestone with a cumulative trading volume of 10 million tons and a trading value of 100 billion yuan, significantly compressing the conventional industry cultivation cycle by 5-8 years [2] - The project aims to create a national first agricultural "three rural" large model through AI integration, which is expected to reduce circulation losses by 15-20% and shift traditional agricultural product circulation from experience-based to intelligent decision-making [3] Summary by Sections Project Overview - The second phase of Shouheng City aims for high-quality development across the entire industry chain, building on the first phase's 150,000 tons of cold chain storage with an additional 500,000 tons, creating the largest smart cold chain hub in Central China [3] - The project will facilitate one-hour fresh food delivery within the Wuhan metropolitan area and establish a one-stop food processing base, enhancing product added value by 3-5 times [3] Economic Impact - The project is expected to create 100,000 jobs and form a trillion-level industrial cluster integrating trading, processing, logistics, exhibitions, and e-commerce [3] - It will contribute to Xiaogan's development as a sub-center city of the Wuhan metropolitan area and support the high-quality development of China's agricultural product circulation [3] Partnerships and Collaborations - The signing ceremony included partnerships with 10 leading cold chain and processing companies, 10 banks providing customized financing services, and international collaborations with companies from Singapore, Brazil, and New Zealand to build a global supply chain network [2][3] - Seven core production areas were awarded as "excellent promotion markets," enhancing direct access from production areas to markets [2]

Core Insights - The article discusses the challenges faced by traditional commodity trading models in the context of a rapidly changing global trade landscape in 2025, highlighting the need for innovative solutions like the S2B2C system developed by Shushangyun [2] Group 1: S2B2C Model Value Proposition - The S2B2C model addresses traditional trade pain points by integrating the supply chain, moving from a "linear break" to a "circular symbiosis," which reduces demand forecasting errors by 40% and improves inventory turnover rates [2] - It establishes a "digital frontier" to tackle cross-border compliance and security challenges, utilizing a hybrid deployment model of private and public clouds [2] - The system empowers intelligent decision-making by integrating AI models and digital twin technology, enhancing trade decision-making capabilities, such as increasing hit rates for popular products by 70% through social media trend analysis [2] Group 2: Technical Architecture Innovations - The S2B2C system employs a hybrid cloud deployment strategy, ensuring core business systems are on private clouds while non-sensitive operations run on public clouds, achieving low latency for global access [6] - It features a real-time computing engine that supports peak order volumes exceeding 8 million orders per hour during high-demand events [6] - The blockchain traceability network records the entire lifecycle of carbon emissions for products, allowing companies to enhance product pricing by 12% through carbon footprint certification [6] Group 3: Industry Practices and Future Outlook - Shushangyun has served over 300 global enterprises across 12 industries, creating a replicable solution library and transitioning from a technology provider to an ecosystem operator [4] - The company plans to focus on building a global supply chain network and promoting a green trade ecosystem, aiming to reduce product loss rates from 15% to 5% [4] - The S2B2C system is positioned as a paradigm shift in business logic, facilitating China's transition from a "world factory" to a "global value hub" in the digital trade era [5]

Group 1 - Humanoid robots have become the highlight of this year's "Double 11" shopping festival, with 500 units of the humanoid robot "Xiao Bumi" selling out in two days at a price of 9,998 yuan, and the "Booster K1" selling out within 20 minutes at a starting price of 29,990 yuan [1] - The first humanoid robot 7S store opened in Wuhan, offering over 10 application scenario robots, including cultural tourism guidance and healthcare [1] - The development of humanoid robots involves a deep integration of multiple fields such as robotics, artificial intelligence, control science, and materials science, with significant technological breakthroughs occurring in cities like Beijing, Shanghai, and Chengdu [1] Group 2 - The humanoid robot industry is experiencing rapid growth due to changes in consumer demand, with consumers seeking more interactive and emotionally valuable experiences rather than just functional products [2] - Despite the growth, challenges remain, including reliance on imported core components, insufficient capabilities for complex tasks, and high manufacturing costs that hinder widespread adoption [2] - To promote healthy development in the humanoid robot industry, collaboration is essential, focusing on technological innovation, building trust mechanisms, and continuous policy support [2] Group 3 - The humanoid robot industry is entering a golden age, transitioning from luxury items to essential household products, provided that all parties work together and maintain a focus on user needs [3]

Core Insights - Smart landscaping represents not only a technological revolution but also an upgrade in urban governance concepts, transitioning from "experience-driven" to "data-driven" approaches for high-quality urban development [1][2] - The integration of smart landscaping with initiatives like "sponge cities" and "carbon neutrality" is crucial for enhancing urban resilience and promoting sustainable development [1] - A unified data security standard and cross-departmental collaboration mechanism are recommended to ensure efficient data sharing while addressing potential risks [1] Group 1 - The goal of smart landscaping is to achieve universal sharing, necessitating simultaneous advancements in technology and public awareness [2] - Current public understanding of smart landscaping is limited, requiring immersive educational experiences through AR/VR technologies and mechanisms that convert ecological contributions into redeemable rights [2] - Over the next 5 to 10 years, smart landscaping should evolve towards "comprehensive perception, intelligent decision-making, and universal sharing" [2] Group 2 - A support system encompassing standards, funding, and talent is essential at the policy level to facilitate the development of smart landscaping [2] - National technical standards should be established to eliminate data silos, and special funds should be allocated to support key technology research [2] - Collaboration between academia and industry is necessary to cultivate interdisciplinary talents who understand both landscaping and AI technology [2][3]

Core Insights - Smart landscaping represents not only a technological revolution but also an upgrade in urban governance concepts, transitioning from "experience-driven" to "data-driven" approaches for high-quality urban development [1] - The integration of smart landscaping with initiatives like "sponge cities" and "carbon neutrality" is crucial for enhancing urban resilience and promoting sustainable development [1] - Data interconnectivity is fundamental for collaborative governance, requiring a unified data security standard and cross-departmental cooperation to ensure efficient data sharing [1] Summary by Sections Smart Landscaping Goals - The goal of smart landscaping is to achieve universal sharing, necessitating simultaneous technological advancements and public awareness [2] - Current public understanding of smart landscaping is limited, requiring immersive educational experiences and mechanisms to convert ecological contributions into redeemable rights [2] Future Development - Over the next 5 to 10 years, smart landscaping should evolve towards "comprehensive perception, intelligent decision-making, and universal sharing" [2] - Comprehensive perception involves optimizing sensor networks for integrated data collection, while intelligent decision-making relies on AI ecological modeling and blockchain technology for dynamic resource allocation [2] - Universal sharing can be stimulated through low-threshold interactive technologies and open data platforms to enhance public engagement [2] Policy Recommendations - A supportive system encompassing standards, funding, and talent development is essential for the advancement of smart landscaping [2] - National technical standards should be established to eliminate data silos, and special funds should be allocated to support key technology research [2] - Collaboration between academia and industry should be strengthened to cultivate interdisciplinary talents proficient in both landscaping and AI technology [2] Future Outlook - With the expansion of comprehensive perception networks and improved public participation mechanisms, smart landscaping is poised to become a bridge connecting nature and urban environments, continuously injecting wisdom into the development of low-carbon, livable modern cities [3]

Core Insights - The 2025 International Conference on Intelligent Robots and Systems has commenced in Hangzhou, attracting over 7,700 experts and representatives from more than 60 countries and regions [1] Group 1: Conference Overview - The conference focuses on the theme of "Human-Machine Collaboration" [1] - Key topics include human-machine integration, intelligent decision-making, and embodied intelligence [1]