Shanghai and Shenzhen Markets Turnover Exceeds 2 Trillion Yuan as AI Quantitative Trading Becomes Key Driver

Markets Break Through 2 Trillion Yuan Turnover Mark Again

According to 36Kr, the combined turnover of the Shanghai and Shenzhen stock markets once again exceeded 2 trillion yuan, though volume contracted by over 50 billion yuan compared to the same period of the previous trading day. Behind the sustained activity in the A-share market, AI technology is becoming deeply embedded in every aspect of the capital markets, serving as a major force driving massive trading volumes.

AI Quantitative Trading Accelerates Market Liquidity

In recent years, the penetration rate of AI quantitative trading in the A-share market has continued to climb. According to industry estimates, quantitative trading currently accounts for approximately 25%-30% of A-share market turnover, meaning that within the 2 trillion yuan in turnover, hundreds of billions of yuan are contributed by AI-driven quantitative strategies.

Multiple leading quantitative hedge funds have already applied large language models and deep learning technologies to core functions including investment research analysis, factor mining, and trade execution. Compared to traditional trading methods, AI quantitative systems can complete market signal capture, strategy decision-making, and order execution within milliseconds, significantly enhancing market liquidity and trading efficiency.

Intelligent Investment Research Tools Gain Widespread Adoption

Beyond quantitative trading, the proliferation of AI-powered intelligent investment research tools is also transforming the trading behavior of both retail and institutional investors. AI advisory assistants, intelligent stock selection tools, and real-time sentiment analysis systems launched by major brokerages are lowering the barriers to investment decision-making, indirectly boosting market participation and trading activity.

Currently, multiple domestic brokerages have integrated large language model capabilities to provide users with services such as intelligent research report interpretation, individual stock diagnostics, and market trend analysis. These AI tools enable more investors to quickly access and process massive amounts of market information, thereby accelerating the pace of trading decisions.

Volume Contraction Signal Warrants Attention

Notably, although turnover remains at elevated levels above 2 trillion yuan, the contraction of over 50 billion yuan compared to the previous trading day suggests potential marginal shifts in market sentiment. AI-driven quantitative models are extremely sensitive to market sentiment perception, and volume contraction signals often trigger position adjustments in certain high-frequency strategies, which in turn can impact short-term market trends.

Outlook: Deep Integration of AI and Capital Markets

As AI technology continues to evolve, the depth and breadth of its applications in capital markets will expand further. From intelligent risk management and algorithmic trading to regulatory technology, AI is reshaping the entire financial market infrastructure. Going forward, how to prevent systemic risks posed by AI trading while enhancing market efficiency will become a critical challenge facing both regulators and the industry.