登录新浪财经APP 搜索【信披】查看更多考评等级 重要提示 1、国寿安保中证A500红利低波动交易型开放式指数证券投资基金（以下简称"本基金"） 的募集已获中 国证券监督管理委员会证监许可【2025】1823号文准予募集注册。中国证监会对本基金的注册并不代表 中国证监会对本基金的风险和收益作出实质性判断、推荐或保证。 2、本基金类别为股票型证券投资基金，运作方式为交易型开放式。 3、本基金的基金管理人为国寿安保基金管理有限公司（以下简称"本公司"或"基金管理人"），基金托 管人为江苏银行股份有限公司，登记结算机构为中国证券登记结算有限责任公司。 4、本基金募集对象为符合法律法规规定的可投资于证券投资基金的个人投资者、机构投资者、合格境 外投资者以及法律法规或中国证监会允许购买证券投资基金的其他投资人。 5、本基金自2025年10月9日至2025年10月22日进行发售。投资者可选择网上现金认购和网下现金认购2 种方式。本基金暂不开通网下股票认购。网上现金认购是指投资者通过基金管理人指定的发售代理机构 用上海证券交易所网上系统以现金进行的认购。网下现金认购是指投资者通过基金管理人和/或其指定 的发售代理机构使用证 ...

责任编辑：郭栩彤 MACD金叉信号形成，这些股涨势不错！ 专题：2025金融教育宣传周：保障金融权益 助力美好生活 基金行业在行动 ...

Core Viewpoint - The brokerage sector is experiencing active trading, with significant inflows into the top brokerage ETF, indicating a potential investment opportunity despite recent market corrections [1][3]. Group 1: Market Performance - The brokerage sector has seen a cumulative decline of 8.5% in the China Securities Company Index over the past month, with the price-to-book ratio dropping to 1.53, which is at a low level compared to the past decade [3]. - The average daily trading volume and margin financing scale have been increasing, suggesting a recovery in equity financing and a positive trend in the brokerage sector's fundamentals [3]. Group 2: Fund Inflows and ETF Performance - The top brokerage ETF (512000) has recorded a net inflow of 6.972 billion yuan over the last 20 trading days, reaching a total size of 35.226 billion yuan, marking a historical high [3][4]. - The ETF has consistently attracted significant capital, with an average daily trading volume exceeding 1 billion yuan this year, positioning it as one of the leading ETFs in A-shares [3]. Group 3: Analyst Insights - Analysts from Kaiyuan Securities express optimism about strategic allocation opportunities in the brokerage sector, highlighting its high profitability and favorable valuation [4]. - Shanxi Securities notes that ongoing capital market reforms and supportive financial policies are contributing to a stable recovery in the brokerage sector, with potential for steady growth through both internal and external development strategies [5].

Core Viewpoint - The "Second Golden Unicorn Best Investment Advisor Selection" event highlights the rapid growth of China's wealth management industry, emphasizing the critical role of investment advisors in guiding asset allocation for the public [1] Group 1: Industry Growth and Challenges - The wealth management industry in China is entering a high-growth cycle as residents' financial literacy improves [1] - Investment advisors face challenges such as the shift from "single investment" to "comprehensive wealth planning," necessitating a broader skill set beyond just financial knowledge [2] - The era of "knowledge payment + professional capability" is identified as a core challenge for the industry's transformation, with many advisors still focused on product sales rather than comprehensive service [2] Group 2: Service Innovation and Technology - The future service philosophy for investment advisors should integrate technology to provide diversified, supportive services rather than just product offerings [2] - The "asset allocation + buy-side advisory + all-staff advisory" model is recognized as a leading service approach, emphasizing the importance of personalized and professional service [2] - The concept of "warm service" is not merely a slogan but a tangible aspect of daily operations at companies like Guangfa Securities, which aims to enhance traditional service methods [2]

专题：第二届新浪财经金麒麟最佳投资顾问评选 新浪财经主办、银华基金独家合作的"第二届金麒麟最佳投资顾问评选"活动火热进行中！我国财富管理 行业迈入超级大年，随着居民理财意识逐渐升华，中国财富管理行业已经迎来高增长周期，投资顾问作 为财富管理"最后一公里"的引路人，其触达客户、沟通客户、服务客户的属性直接影响着全民资产配置 的走向。在此背景下，投资顾问面临哪些机遇和挑战？他们该如何"修炼内功"？金麒麟最佳投资顾问评 选活动旨在为投资顾问提供一个展示形象、扩围服务、提升能力的舞台，为优秀投资顾问与大众投资人 搭建沟通对话的桥梁，助推中国财富管理行业健康发展。 针对投资顾问的优异表现，新浪财经将从投顾服务理念、财富管理大时代下投顾挑战等方面，采访表现 优秀投顾，向投资者展示投顾的服务能力与独特理念。 来自广发证券乌鲁木齐北京中路证券营业部的投资顾问张坤（执业证书编号：S0260615030028）公募 基金模拟配置组合评比中荣获8月月榜第三名。 在谈到模拟组合表现优异时，张坤表示自己日常的模拟交易投资策略为， "优选行业 + 龙头标的 + 分散 配置" 策略，是实现组合高收益的关键框架，优选行业是前提，再从行业中优 ...

具体折扣费率及优惠活动详情以广发证券公示为准。基金原费率请详见基金合同、招募说明书（更新） 等法律文件，以及本公司发布的最新业务公告。 费率优惠期限内，如本公司新增通过广发证券代销的基金产品，则自该基金产品开放申购当日起，将同 时开通该基金上述优惠活动。上述优惠活动如有调整，敬请投资者留意广发证券相关公告。 三、重要提示 1、本次优惠活动的解释权归广发证券所有。优惠活动期间，业务办理的具体时间、流程以广发证券规 定为准。 2、广发证券基金费率优惠仅针对处于正常申购期的指定开放式基金（仅前端收费模式）申购手续费， 不包括基金赎回、转换、固定费用以及基金的后端模式申购手续费等其他业务手续费。 为了答谢广大投资人对诺德基金管理有限公司（以下简称"本公司"）的支持和厚爱，经与广发证券股份 有限公司（以下简称"广发证券"）协商一致，本公司决定旗下部分基金参加广发证券申购（含定期定额 投资）业务费率优惠活动。 一、 适用基金范围 本次费率优惠适用于广发证券代销的本公司基金产品。 二、费率优惠活动内容 自2025年9月25日起，投资者通过广发证券申购（含定期定额投资）本公司基金的（限前端收费模 式），其申购费率享受1折起的 ...

Core Viewpoint - The article emphasizes the importance of digital transformation in the securities industry, highlighting it as a critical factor for survival and development, driven by the need to enhance service efficiency, risk management, and business innovation [2]. Group 1: Digital Transformation Insights - The central theme of the "2025 China Securities Industry Digital Practice Summit" is "Intelligent Wealth Together, Win the Future," showcasing the industry's focus on digital finance [2]. - The Central Financial Work Conference has recognized "digital finance" as a key component in building a strong financial nation, indicating the strategic importance of digital transformation in the securities sector [2]. - AI is viewed as a transformative force, not just for efficiency but for creating new possibilities, necessitating a comprehensive shift in organizational structure and operational models [2][3]. Group 2: Awards and Recognitions - The "2025 China Securities Industry Digital Practice Jun Ding Award" was announced, recognizing outstanding institutions in digital transformation [4]. - The winners of the "2025 China Securities Industry Digital Practice All-round Jun Ding Award" include major firms such as Huatai Securities, Guotai Junan Securities, and CITIC Securities, among others [6]. - The "2025 China Securities Industry Digital Practice Newcomer Jun Ding Award" recognized firms like Zhongyou Securities and Huafu Securities, highlighting emerging players in the digital landscape [7]. Group 3: Case Studies and Innovations - The article mentions various innovative digital practices and platforms developed by securities firms, such as AI-driven investment models and intelligent advisory products [11][12]. - Specific case studies include the "AI Wenchang Star" investment banking model application platform and a low-latency options market-making platform, showcasing the technological advancements in the industry [10][11].

Core Viewpoint - Guangfa Securities (000776)(01776) announced the issuance of its fourth phase of corporate bonds aimed at professional investors, which will be listed on the Shenzhen Stock Exchange starting September 24, 2025 [1] Group 1 - The corporate bonds are compliant with the listing conditions of the Shenzhen Stock Exchange [1] - The bonds will be traded among professional institutional investors [1] - Various trading methods will be available, including matched transactions, click transactions, inquiry transactions, competitive bidding, and negotiated transactions [1]

Group 1 - The core point of the announcement is that Guangfa Securities will start selling certain products from AVIC Fund Management Co., Ltd. on September 23, 2025 [1][3] - The announcement includes the contact information for both Guangfa Securities and AVIC Fund Management for investors to inquire about the relevant products [1] - The announcement emphasizes the commitment of the fund manager to manage and utilize fund assets with honesty and diligence, although it does not guarantee profits or minimum returns [1]

Core Insights - The rapid growth of AI inference applications is significantly increasing the reliance on high-performance memory and tiered storage, with HBM, DRAM, SSD, and HDD playing critical roles in long-context and multimodal inference scenarios [1][2][3] - The overall demand for storage is expected to surge to hundreds of exabytes (EB) as lightweight model deployment drives storage capacity needs [1][3] Group 1: Storage in AI Servers - Storage in AI servers primarily includes HBM, DRAM, and SSD, characterized by decreasing performance, increasing capacity, and decreasing costs [1] - Frequently accessed or mutable data is retained in higher storage tiers, such as CPU/GPU caches, HBM, and dynamic RAM, while infrequently accessed or long-term data is moved to lower storage tiers like SSD and HDD [1] Group 2: Tiered Storage for Efficient Computing - HBM is integrated within GPUs to provide high-bandwidth temporary buffering for weights and activation values, supporting parallel computing and low-latency inference [2] - DRAM serves as system memory, storing intermediate data, batch processing queues, and model I/O, facilitating efficient data transfer between CPU and GPU [2] - Local SSDs are used for real-time loading of model parameters and data, meeting high-frequency read/write needs, while HDDs offer economical large capacity for raw data and historical checkpoints [2] Group 3: Growth Driven by Inference Needs - Memory benefits from long-context and multimodal inference demands, where high bandwidth and large capacity memory reduce access latency and enhance parallel efficiency [3] - For example, the Mooncake project achieved computational efficiency leaps through resource reconstruction, and various upgrades in hardware support high-performance inference in complex models [3] - Based on key assumptions, the storage capacity required for ten Google-level inference applications by 2026 is estimated to be 49EB [3]