Ge Long Hui A P P·2026-01-07 10:01Market Overview - On January 7, the trading volume of the Shanghai and Shenzhen stock markets reached 2.85 trillion yuan, an increase of 476 billion yuan compared to the previous trading day [1] - Sectors such as storage chips, commercial aerospace, semiconductor equipment, and photoresist concepts saw significant gains, while brain-computer interfaces, titanium dioxide, and digital currency sectors experienced declines [1] Top Gainers - Shengtong Energy (001331) rose by 9.99% to 56.03 yuan, driven by a change in control and developments in robotics [2] - Fenglong Co. (002931) increased by 10.01% to 42.20 yuan, with news of a potential acquisition by UBTECH [2] - ST Dongyi (002713) gained 5.05% to 10.40 yuan, supported by restructuring expectations [2] - Lushin Investment (600783) surged by 10.00% to 26.94 yuan, linked to Blue Arrow Aerospace's IPO and AI fund developments [2] - Reco Defense (002413) rose by 10.01% to 16.71 yuan, benefiting from trends in storage chips and commercial aerospace [2] Notable Stocks - The top three net purchases on the Dragon and Tiger list were Tongyu Communication, Nanda Optoelectronics, and China First Heavy Industries, with net purchases of 404 million yuan, 342 million yuan, and 192 million yuan respectively [5] - The top three net sales were Goldwind Technology, Reco Defense, and Zhongchao Holdings, with net sales of 722 million yuan, 503 million yuan, and 197 million yuan respectively [6] Sector Highlights - Brain-computer interface stocks, such as Sanbo Brain Science, are gaining attention due to advancements in technology and clinical trials [9] - Commercial aerospace stocks, including Shunhao Co., are also in focus due to their involvement in space data center businesses and ongoing buyback plans [13] Trading Dynamics - The trading dynamics showed significant activity with stocks like Sanbo Brain Science experiencing a 10.45% increase, while Goldwind Technology faced a net sell-off despite a 10.00% rise [23][10] - The overall market sentiment appears to be influenced by sector-specific news and institutional trading behaviors, with notable net buying and selling patterns observed across various stocks [27][10]