Tech Giants Vie for AI Trading Supremacy: Alibaba and Tencent Accelerate Development

Deep News04-13 21:05

AI-assisted stock trading is no longer a novel concept. However, many existing products were not originally designed for financial applications. Shortcomings in data quality and analytical logic frequently become apparent during actual user operations. Recently, major domestic internet companies have been actively advancing their AI-powered stock trading tools. On April 7, Alibaba's Qianwen platform launched its "Deep Research" feature, introducing a new "Financial Analysis" module that integrates data from over 13,000 stocks and incorporates approximately one million professional documents such as company financial reports and announcements. Similarly, an update to Kimi's professional database on April 6 revealed integration with financial data providers like Tonghuashun iFinD and Yahoo Finance. Additionally, in late March, market reports indicated that Tencent is internally testing a mini-program called "Tencent AI Stock Inquiry," which utilizes large AI models to address user queries within the securities domain. These strategic moves by tech giants are far from casual endeavors. According to estimates based on data from China Securities Depository and Clearing Corporation and the Shanghai Stock Exchange, the number of A-share investors had approached 250 million by the end of the first quarter of 2026. Concurrently, the influx of Gen Z investors into the stock market is accelerating the adoption of AI in trading. This represents a substantial market supported by a potential user base of 250 million individuals.

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