亚太股市集体跳水，A股油气股重挫，绿电概念逆市爆发，港股老铺黄金大涨8%

Market Overview - The Asia-Pacific stock markets opened higher but retreated, with the Nikkei 225 index initially rising by 1000 points, now up by 0.57%, and the Korean Composite Index opening up 4% but narrowing to 0.52% [1] - In the A-share market, all three major indices opened higher, but the ChiNext index turned negative after briefly rising nearly 1%, with sectors like oil and gas, chemicals, precious metals, and coal showing significant declines [1] Sector Performance - The green electricity concept continues to show strength, with the collaborative direction of computing and electricity leading the gains. Companies like Shaoneng Co. and Hunan Development reached their daily limit, while Huadian Liaoning and others approached their limits. The National Bureau of Statistics announced plans to ensure that 80% of new computing power facilities utilize green electricity [3] - Oil and gas stocks experienced a sharp decline, with companies like Heshun Petroleum and Intercontinental Oil falling over 7%, and major players like China Petroleum and China Petrochemical dropping more than 2% [3] Investment Insights - Market bottom formation requires two signals: stabilization in the Middle East and a reduction in panic selling, leading to decreased trading volume [6] - Short-term recommendations suggest avoiding impulsive trading until indicators such as volume stabilization, recovery in the number of advancing and declining stocks, and continuous northbound capital inflow are observed [7] - The fundamental outlook for A-shares remains stable, with short-term market movements expected to be volatile but gradually improving sentiment leading to structural opportunities in undervalued defensive assets and quality growth assets [7] - Mid-term investment focus should be on "defensive + certainty + adjusted growth," with high dividend and energy stocks serving as a stable foundation, while AI and resource sectors are seen as growth drivers [7] - The new logic for AI investments extends from computing power to include "storage + computing power + electricity," driven by the significant electricity demand from AI data centers, which will boost the demand for power grids and electrical equipment [7]