最直接的方式是通过专业的金融网站。像东方财富网、同花顺财经等，这些网站提供全面的股票信息，不仅有每只股票的代码，还会详细介绍股票背后公司 的基本情况、行业归属等。在搜索栏输入公司名称，即可快速获取其对应的股票代码。此外，证券公司的交易软件也是不错的选择。比如中信证券的信e 投、国泰君安的国泰君安君弘等，打开软件后在搜索功能处输入关键词，就能显示相关股票代码。 在投资领域，股票代码是识别股票的重要标识。对于投资者而言，了解股票代码相关知识不仅有助于准确找到目标股票，还能从代码中初步判断股票的一些 特性。那么，该如何了解股票代码的相关知识呢？ 下面通过表格形式总结不同交易所部分常见股票代码特征： | 交易所 | 代码开头 | 股票特征 | | --- | --- | --- | | 上海证券交易所 | 60 | 大盘蓝筹股，业绩优良、市值大 | | | 688 | 科创板股票，科技创新型企业，高成长高风险 | | 深圳证券交易所 | 000 | 深市主板股票，行业覆盖面广 | | | 002 | 中小板股票，规模较小但潜力大 | | | 300 | 创业板股票，新兴产业，创新能力强，股价波动大 | 了解这些股票代 ...

本报记者 周尚伃 见习记者 于宏 在财富管理数字化转型的进程中，券商正以App为核心阵地，构筑线上服务新生态。最新数据显示，4月份证券类App活跃 人数合计达1.67亿，同比增长14.29%。为把握线上流量带来的业务机遇，券商正积极对旗下App平台进行功能迭代、优化更 新，5月份以来，已有十余家券商对旗下App进行了升级。其中，利用AI大模型等技术成果提供智能化投顾服务、推出智能化 投资辅助工具，成为近期券商App优化更新的重点。 具体来看，4月份，有11家券商旗下的App月活人数在500万以上，头部券商凭借强大的品牌影响力和资源优势，在榜单中 整体位居前列。其中，涨乐财富通（华泰证券旗下App）以1121.56万的月活人数位居榜首，是唯一一个4月份月活人数超过 1000万的券商App；国泰海通君弘、平安证券4月份月活人数分别为969.84万、831.31万；中信证券信e投、招商证券4月份月活 人数均超700万。 值得关注的是，第三方平台呈现更强的流量虹吸效应。其中，同花顺、东方财富、大智慧4月份活跃人数位居前三，分别 为3519.82万、1730.52万、1175.76万，相较券商自营App而言，具有一定的 ...

Core Viewpoint - The article highlights the accelerating democratization of quantitative investment driven by AI technology, transforming traditional investment practices and enabling broader access to sophisticated trading strategies [1][2]. Group 1: AI Quantitative Strategies - Various trading software are beginning to incorporate AI quantitative strategy features, including strategy generation, intelligent portfolio adjustment, and risk control [1]. - Examples include the AI research assistant in the CICC app, which offers quantitative stock selection models, and the AI strategy toolkit in the Yuekai Securities app, which provides multiple strategy combinations for users [1][2]. Group 2: User Interaction and Experience - The shift from "tool-based" to "dialogue-based" trading software is changing the trading software ecosystem, making it more user-friendly and accessible [1]. - For instance, the Jianghai Securities app supports voice commands for stock purchases, while the Guoyuan Securities app provides visual heat maps for market conditions [2]. Group 3: Breaking Technical Barriers - The introduction of zero-code interactions allows ordinary investors to easily customize strategies, effectively bridging the gap between traditional language and quantitative decision-making tools [2]. - The AI strategy feature "Huiwen" from Dazhihui enables users to describe investment ideas in natural language, which the AI then translates into quantifiable strategies [2]. Group 4: Future Opportunities and Challenges - The ongoing advancements in AI technology may lead to a more complex investment ecosystem, with service providers needing to enhance their data infrastructure, strategy innovation, and compliance management to seize opportunities [3]. - Dazhihui plans to host an "AI Quantitative Strategy Simulation Competition" to foster talent in the quantitative investment field and promote strategy optimization [3].