Core Viewpoint - The Hangzhou Municipal Government is soliciting public opinions on measures to support the innovation and development of brain-like intelligence industries, emphasizing its strategic importance in the next generation of artificial intelligence [1][2]. Group 1: Policy Support and Development - The measures proposed by the Hangzhou Digital Economy Bureau focus on three areas: supporting innovation and research in brain-like industries, promoting the agglomeration of brain-like intelligent industries, and building an ecosystem for brain-like intelligent industries [1]. - The State Council has included "brain science and brain-like research" as a major national science and technology project since the 13th Five-Year Plan, with further emphasis in the 14th Five-Year Plan on incubating future industries in cutting-edge technology areas [1][2]. Group 2: Industry Participation and Innovation - Multiple regions, including Beijing, are also developing targeted plans for brain-machine interface innovation, aiming for a preliminary industrial ecosystem by 2030, with applications in healthcare, wellness, industry, and education [2]. - Companies like Tencent Holdings have made significant strides in the brain-machine interface field, with Tencent Technology obtaining a patent for a method related to brain-machine interfaces and motion control [2][3]. Group 3: Emerging Companies and Market Dynamics - Innovative companies are actively participating in the brain-like intelligence sector, such as Zhejiang Qiangnao Technology, which has over 400 patents in non-invasive brain-machine interface technology, ranking among the top globally [3]. - Large technology firms can leverage their R&D capabilities and market influence to accelerate the development of brain-like intelligence, while specialized companies can focus on niche markets, providing tailored solutions [3].

Market Overview - On June 19, A-shares opened lower and continued to decline, with the Shanghai Composite Index falling by 0.79% to 3362 points, the Shenzhen Component Index down by 1.21%, and the ChiNext Index down by 1.36%, with over 4600 stocks declining across the market [1] - Market focus shifted towards the oil, natural gas, and digital reading sectors [1] High-Performing Stocks - In the oil and gas sector, Zhuan Oil Co. and Shandong Molong achieved five consecutive trading limits, while military stock Beifang Changlong saw a 20% increase over three days [3] - Notable stocks with significant gains include: - Shandong Quanlong: +10.00%, five consecutive limits [4] - Zhuan Oil Co.: +9.96%, five consecutive limits [4] - Beifang Changlong: +20.01%, three limits in five days [4] - Innovation Medical: +10.04%, two limits in three days [4] Trading Activity - The top three net purchases on the Dragon and Tiger list were: - Innovation Medical: net purchase of 207 million [5] - Electric Science Cybersecurity: net purchase of 153 million [5] - Anni Co.: net purchase of 135 million [5] - The top three net sales were: - Limin Co.: net sale of 230 million [7] - Xiexin Energy: net sale of 218 million [7] - Changshan Pharmaceutical: net sale of 178 million [7] Sector Highlights - Innovation Medical focuses on brain-machine interfaces and AI medical models, achieving a trading limit with a turnover of 1.745 billion and a turnover rate of 31.78% [10] - Baida Qiancheng, involved in short drama games and major contract signings, also reached a trading limit with a turnover of 1.077 billion [14] - Electric Science Cybersecurity, which focuses on digital currency and satellite navigation, achieved a trading limit with a turnover of 694 million [18] Institutional Activity - Institutions showed significant interest in several stocks, with net purchases in: - Electric Science Cybersecurity: 35 million [22] - Innovation Medical: 26 million [22] - Shandong Molong: 20 million [22] - Conversely, institutions sold off stocks like Limin Co. and Xiexin Energy, with net sales of 64 million and 71 million respectively [19][22] Conclusion - The market experienced a downward trend with specific sectors like oil and gas showing resilience through notable stock performances. Institutional trading patterns indicate selective interest in high-growth potential stocks, particularly in the technology and healthcare sectors.