創業板指、深成指翻綠，此前創業板指一度漲超1.8%。

Beijing issued a 2026–2028 action plan to substantially upgrade embodied-intelligence foundation model capabilities. The plan backs multiple technical routes and their convergence, including visual-language-action models (VLA), world models (WM) and reinforcement learning (RL). It prioritises multisource information fusion, physical-space understanding and human emotion/action recognition to advance models from perception toward cognition — aiming for “brain” level understanding of physical-law constraints and the ability to identify non-verbal human actions and expressions. It also targets real-time inference, cross-ontology transfer and self-learning evolution to lift multitask generalisation, high-reliability execution, fast-cycle operations and ultra-precision manipulation — the “cerebellum” capabilities. Support for group coordination, long-term memory, local lightweight deployment and model interpretability is intended to accelerate real-world deployment. The stated goal is to bring China’s embodied-intelligence foundation models to international first-class standard.

Broad-based ETFs (340 funds) traded RMB84.0 bln in turnover, exceeding yesterday’s full-day volume. E Fund ChiNext ETF (159915) turnover RMB10.0 bln, price +3.35%. ChinaAMC Sci-Tech Innovation 50 ETF (588000) RMB8.2 bln; Guotai CSI A500 ETF (159338) RMB6.2 bln; GF ChiNext ETF (159952) RMB1.4 bln; E Fund CSI 1000 ETF (159633) RMB1.15 bln — all surpassed their respective full-day volumes from yesterday.