张朝阳现场问金价，进化掉菜单的AI涨乐，何以重构交易体验？

Core Viewpoint - The launch of the AI-powered trading app "AI Zhangle" by Huatai Securities aims to revolutionize the investment decision-making process by integrating advanced AI capabilities to simplify user interactions and enhance trading efficiency [1][6]. Group 1: Product Features - AI Zhangle eliminates traditional multi-level menus, focusing on a task-driven model to streamline the investment process for users [2][3]. - The app features three core tools: "Early Listening" for personalized market insights, "Special Alerts" for real-time notifications on significant market changes, and "Task Assistant" for executing complex trading tasks with simple commands [2][3]. - The "Early Listening" tool provides tailored market analysis and highlights key events relevant to users' portfolios, while "Special Alerts" acts as a vigilant monitor for critical stock movements [2][3]. Group 2: Technology and Data Utilization - The app employs a sophisticated "multi-expert agent" architecture, allowing it to provide accurate and data-backed responses to user inquiries by coordinating various specialized agents [4][5]. - AI Zhangle utilizes a "Post-training" approach, leveraging historical data and proprietary knowledge to analyze market events and their potential impacts on stocks [5]. - The app ensures data integrity by sourcing information from official exchanges and reputable media, emphasizing the importance of high-quality data in investment decisions [5][6]. Group 3: Market Positioning and Strategy - AI Zhangle aims to bridge the gap between retail investors and institutional services, addressing the disparities in information access and analytical capabilities [6][7]. - The app is positioned as a distinct product within Huatai Securities' offerings, focusing on enhancing user decision-making efficiency and providing a more personalized investment experience [7][8]. - The development of AI Zhangle reflects a strategic shift in the securities industry towards integrating financial technology deeply into business operations, moving beyond mere functional enhancements to a comprehensive ecosystem [7].