Wanlian Securities·2025-07-31 08:00Investment Rating - The industry is rated as "Outperforming the Market" with an expected relative increase of over 10% compared to the broader market index in the next six months [5][38]. Core Insights - In Q2 2025, the SW Electronics industry saw an increase in fund heavy positions and overweight ratios, with the heavy position ratio at 17.22%, an increase of 0.19 percentage points from the previous quarter and 2.58 percentage points year-on-year [1][13]. - The focus of institutional investors is on AI computing power construction and semiconductor self-sufficiency, with AI PCB being a primary area for increased investment [2][22]. - The top ten heavily held stocks in the SW Electronics industry include major players in the semiconductor and PCB sectors, indicating a stable composition with a strong performance from PCB leaders [17][18]. Summary by Sections Fund Heavy Positions and Overweight Ratios - The SW Electronics industry had a heavy position ratio of 17.22% and an overweight ratio of 8.27% in Q2 2025, both showing increases compared to previous periods [1][13][15]. Top Heavy Holdings - The top ten heavily held stocks include SMIC, Cambricon, and Huada Semiconductor, with a significant portion of the holdings in the semiconductor sector [17][18]. Focus Areas for Investment - Institutional investors are particularly focused on AI computing power and semiconductor self-sufficiency, with notable increases in holdings for companies like Shenghong Technology and Huadian [2][22]. Component Sector Performance - The component sector saw a significant increase in overweight ratios, driven by interest in AI PCB, while the semiconductor sector remains a key focus with a 7.86% overweight ratio [28][31]. Diversification in Heavy Holdings - The concentration of the top five heavy holdings in the SW Electronics industry decreased to 36.72%, indicating a trend towards diversification in fund allocations [34][35]. Investment Recommendations - The report suggests focusing on leading companies in the AI computing power chain and semiconductor self-sufficiency, as these areas are expected to see significant growth [35].