Core Insights - The recent "AI stock trading competition" highlighted the limitations of general AI models in financial markets, with Chinese models being the only profitable ones while US models faced significant losses [1] - The industry is now questioning what type of AI is truly needed for finance, leading to the launch of the AI-native trading app "AI Zhangle" by Huatai Securities, which fundamentally redefines the service logic of trading applications [2][3] Group 1: Transition from Experimentation to Usability - General AI models are not designed for financial markets, as they struggle to differentiate between belief and fact, which can lead to investment losses [4] - The limitations of general models necessitate a specialized AI system in finance, which Huatai Securities is developing in collaboration with partners like Volcano Engine [4][5] - The AI system comprises four key layers: professional data sources, analytical frameworks, compliance and control, and engineering capabilities [5][6][7] Group 2: Features of AI Zhangle - AI Zhangle is not just an enhanced app but a complete reconfiguration of the trading experience, allowing users to interact with AI to express their intentions rather than searching for functions [8] - The app transforms information handling from a collection model to a filtering model, where AI helps users understand and decide what information to present [9] - AI Zhangle integrates trading processes such as stock selection, monitoring, conditional orders, and voice-assisted trading, creating a seamless experience from intention to execution [13][15] Group 3: Technical Support and Infrastructure - The app relies on a robust technical foundation provided by Volcano Engine, ensuring data security and compliance while maintaining high service reliability [19] - AI Zhangle utilizes a cluster of models rather than a single model, ensuring accuracy in investment analysis and the ability to process fragmented information effectively [20] - The collaboration between Huatai Securities and Volcano Engine serves as a strategic partnership to tackle industry challenges and enhance product capabilities [20] Group 4: Industry Implications and Future Outlook - The launch of AI Zhangle represents a significant step towards the integration of AI in the financial sector, with predictions that by 2026, multiple large brokerages will introduce their own AI-driven apps [21] - Different types of brokerages are expected to follow varied paths in AI adoption, with large firms focusing on self-developed models and smaller firms leveraging AI technology providers for cost-effective solutions [22][23] - The competition in the securities industry is shifting from traditional metrics to a focus on data, algorithms, and computational power, marking a new era of AI-driven competition [23]