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East Money Securities Integrates Self-Developed 'Miaoxiang' Financial AI Model into App, Cutting Research

Published: Updated: By 24TopNews Editorial Desk

East Money Securities has integrated its self-developed 'Miaoxiang' financial large model into its app, cutting research report interpretation from hours to minutes. The model, filed in December 2023 and released in early 2024, is trained on a trillion-level financial corpus and supports market analysis, news interpretation, and investment research. The company also rebuilt its trading network for low latency and built a digital closed loop for customer acquisition, service, and operations, with plans to expand AI applications and compliance technology.

East Money Securities is transforming from an internet broker into an AI-driven securities firm. In December 2023, the company's self-developed 'Miaoxiang' financial large model completed filing. In early 2024, the intelligent application 'Miaoxiang Investment Research Assistant' based on this model was officially released. The model is trained on a trillion-level corpus of professional financial data, integrating retrieval-augmented generation, chain-of-thought reasoning, and multi-source cross-validation architecture, and it incorporates the company's proprietary financial database and vertical large-model agents to address the shortcomings of general models in professional domains. 'Miaoxiang' has been deeply integrated into the East Money app, providing services such as market analysis, hot news interpretation, and investment research assistance. Traditional research report interpretation takes hours; the model compresses processing time to minutes and explains complex financial and policy logic in plain language. Its technical features include a data-to-scenario closed loop, professional reasoning capabilities, and inclusive design, covering an integrated process of market, trading, and investment research. In technology self-development, East Money Securities rebuilt its end-to-end order routing network to achieve low-latency trading. The system offers high availability and high throughput to cope with market peaks. On the market data side, it provides full-market, full-volume data, optimizes decoding and distribution, and supports multi-terminal synchronization. On the tool side, it combines the 'Miaoxiang' model with conditional orders, grid trading, and other functions, enabling an intelligent workflow of trading decisions, automatic execution, and review optimization. The company has built a digital closed loop covering customer acquisition, service, and operations. Customer acquisition leverages news, data, community, and tool scenarios, using user profiles to drive content and business conversion. Service embeds the 'Miaoxiang' model into market analysis, news interpretation, and intelligent customer service, providing round-the-clock response. Operations follow an 'active prevention, intelligent control, comprehensive management' path to improve efficiency and reduce risk. In ecosystem enablement, East Money Securities relies on related platforms to convert traffic into inclusive financial services. AI enables second-level news interpretation, research report summaries, portfolio risk diagnosis, and intelligent fund selection, lowering the threshold for investing. The intelligent customer service system processes user questions using natural language, improving service retention. Currently, AI semantic understanding accuracy is leading, and news response speed reaches the second level. Looking ahead, East Money Securities plans to deepen intelligent digital tools and online services with the 'Miaoxiang' model at its core. The company will iterate model algorithms, create an 'AI plus human' collaboration model, and optimize the round-the-clock intelligent service system to promote voice and multimodal interaction. In industry research, value discovery, and risk warning, the model is already used to improve research report processing efficiency, enhance judgment accuracy, and build an intelligent risk control system. The company also aims to form a positive cycle of 'user scale, data accumulation, model optimization, and experience improvement', linking platforms within the ecosystem to achieve a closed loop of news, trading, wealth management, and services. Future priorities include deepening vertical applications of the model, improving full-scenario digital services, and strengthening data security and compliance technology.