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AI驱动电网板块集体爆发，高景气赛道基159292强势收红，机构最新研判：成长风格或仍是投资主线！
Xin Lang Ji Jin·2025-11-05 11:22

Market Overview - The three major indices opened lower but gradually strengthened throughout the day, closing in the green, with the ChiNext Index rising by 1.03% [1] - The market saw active participation in sectors such as energy storage and renewable energy, with significant gains in electrical equipment, photovoltaic, and lithium battery concepts [1] Sector Performance - The ChiNext Composite Enhanced ETF (159292) experienced a rise of 1.03%, with a trading volume of 5.58 million yuan, indicating active buying interest [1] - Key stocks in the electrical equipment sector, such as Zhongzhi Technology, hit the daily limit up, while others like Shenghong Co., EVE Energy, and Suzhou Tianmai saw gains exceeding 7% [1] - The electrical equipment industry attracted a net inflow of 10.052 billion yuan, leading among 31 first-level industries [4] Investment Trends - The rapid development of AI technology is driving explosive growth in global data center electricity demand, necessitating upgrades to the power grid [3] - Goldman Sachs projects that investments in global digital infrastructure and energy systems driven by AI will reach $5 trillion over the next decade, with power grid equipment being a primary beneficiary [3] - National Grid is increasing its investment scale, with new policies being developed to promote the integration of renewable energy and traditional industries [2] ETF Advantages - The ChiNext Composite Enhanced ETF tracks the ChiNext Composite Index, with the top five industries being electrical equipment, electronics, pharmaceuticals, computers, and communications, collectively accounting for 67% [5] - The ETF has outperformed major indices like CSI 300 and Zhongzheng 500 in recent bull markets [6] - The ETF offers a low entry barrier for investors, allowing participation in the ChiNext market with a minimum investment of around 100 yuan [6] - The ETF aims for excess returns through a quantitative multi-factor stock selection model, focusing on fundamental factors [6]