The "Deep Research" feature of Qwen has recently undergone a major upgrade and officially launched a professional financial analysis module, marking a new stage in the application of Agentic architecture in vertical specialized fields for large models.
This update deeply integrates real-time financial data provided by Tonghuashun, accessing minute-level market data for approximately 13,000 stocks globally and nearly one million company financial reports, announcements, and authoritative research reports. By introducing an advanced Agentic architecture, Qwen has achieved full-chain autonomous execution from demand analysis, path planning, to data retrieval and multi-source information integration.
Users can currently experience this feature for free on Qwen's PC and APP versions, generating in-depth research reports of professional quality with one click. Unlike traditional text generation, the system can uncover underlying financial details such as valuation changes and cost breakdowns, and automatically generate visualized data charts. All key conclusions are traceable to their original sources, significantly enhancing the timeliness and reliability of the reports. Before outputting the report, the system will also display a clear analytical framework to ensure transparent and visible research logic.
As large models evolve from general conversation to specialized agents, this upgrade not only lowers the barrier for ordinary investors to access in-depth financial analysis but also demonstrates AI's practical capabilities in solving complex professional problems through precise scheduling of external plugins and real-time databases. This indicates that AI assistants are transitioning from simple information processing tools to digital professional consulting experts with rigorous logic and real-time execution capabilities.
