Investment Rating - The report does not explicitly state an investment rating for the industry but suggests a focus on specific companies for investment opportunities [11]. Core Insights - The report highlights the increasing tension in Sino-Japanese relations, suggesting a need for China to focus on self-sufficiency in industrial machinery, particularly in core components like CNC systems and lead screws [5][23]. - The deep cooling equipment sector is experiencing significant growth, with a notable increase in new orders for leading companies, indicating a favorable environment for Chinese firms to expand internationally [5][24]. - Siemens Energy has reported a substantial increase in gas turbine orders, which bodes well for domestic suppliers like Yingliu, suggesting a robust demand for turbine blades [5][24]. - The report categorizes various segments of the machinery industry, indicating differing levels of economic performance, with general machinery under pressure, while engineering machinery is accelerating upward [5][25][47]. Summary by Sections 1. Stock Portfolio - Recommended stocks include Huazhong CNC, Zhongtai Co., and Yingliu [11]. 2. Market Review - The SW Machinery Equipment Index fell by 2.22% in the last week, ranking 28th among 31 sectors, while it has risen by 31.88% year-to-date, ranking 7th [13][17]. 3. Core Insights Update - The report emphasizes the need for China to develop self-sufficiency in industrial machinery due to geopolitical tensions, and it identifies key companies to watch in this context [5][23]. - The deep cooling equipment sector is highlighted for its growth potential, with significant order increases reported by leading firms [5][24]. - The gas turbine market is also noted for its high demand, particularly benefiting companies like Yingliu [5][24]. 4. Key Data Tracking 4.1 General Machinery - The general machinery sector is under pressure, with the PMI at 49.0%, indicating contraction [25]. 4.2 Engineering Machinery - The engineering machinery sector is showing signs of recovery, with excavator sales increasing by 7.8% year-on-year [35]. 4.3 Railway Equipment - The railway equipment sector is experiencing steady growth, with fixed asset investment maintaining around 6% [47]. 4.4 Shipbuilding - The shipbuilding sector is seeing a slowdown, with new ship price indices indicating a decline [48]. 4.5 Oilfield Equipment - The oilfield equipment sector is stabilizing at the bottom, with ongoing high demand in the Middle East [50]. 4.6 Industrial Gases - The industrial gases sector is expected to benefit from improved steel profitability and increased downstream activity [56]. 4.7 Gas Turbines - The gas turbine sector is experiencing robust growth, with significant new orders reported [58].

Core Viewpoint - The article highlights the recent movements of the "national team" in the A-share market, revealing their increased holdings in several companies during the second quarter, indicating potential investment opportunities in these sectors [1]. Group 1: National Team Holdings - The "national team" increased its holdings in 14 A-share companies during Q2, including major firms like Dabeinong, Huazhong CNC, and Zhonglian Heavy Industry [1]. - Dabeinong, a company focused on feed products, saw a new holding value of 0.89 billion yuan from the "national team" [2]. - Huazhong CNC, specializing in CNC systems and industrial robots, received a new holding value of 0.37 billion yuan from the "national team" [2]. Group 2: Company Performance - Dabeinong reported a revenue of 13.559 billion yuan for the first half of the year, a year-on-year increase of 3.55%, and achieved a net profit of 0.235 billion yuan, marking a turnaround from losses [2]. - Huazhong CNC's revenue for the first half was 0.554 billion yuan, a decrease of 11.91% year-on-year, with a net loss of 81.449 million yuan, although the loss narrowed compared to the previous year [2]. Group 3: Technological Advancements - Huazhong CNC launched the world's first AI CNC system equipped with AI chips and models, which has been integrated with 18 machine tool manufacturers, enhancing processing efficiency by approximately 10% [3]. - The system includes an intelligent fault diagnosis module, achieving a skill level comparable to a technician with three years of experience, indicating significant improvements in user interaction and processing efficiency [3].