沪指持续新高，A股慢牛启航！科技突发分化，人工智能全线杀跌，发生了什么？

Market Overview - A-shares experienced a slight consolidation with major indices fluctuating around the waterline, and the Shanghai Composite Index reached a new high for the period [1] - The total trading volume in the two markets was 1.71 trillion yuan, with over 2,400 stocks rising [1] - The non-ferrous metals sector showed strong performance, with COMEX gold futures hitting a historical high and the People's Bank of China increasing gold reserves for nine consecutive months [1] Sector Performance - The technology sector saw a significant pullback, particularly in artificial intelligence, with the "AI twins" ETFs experiencing declines of 1.77% and 2.57% respectively [1] - The military industry sector remained relatively resilient, with the National Defense and Military Industry ETF (512810) only slightly down by 0.14% despite a late surge in premium [1][5] - The National Defense and Military Industry ETF recorded a weekly trading volume of 6.56 billion yuan, marking a historical high since its listing [5] Investment Sentiment - Analysts suggest that the current market sentiment is leaning towards a "slow bull" trend, supported by policy benefits, new capital inflows, and industrial upgrades [1][2] - The brokerage sector has been underperforming compared to the overall market, with the top brokerage ETF (512000) seeing a net inflow of over 4.2 billion yuan in the past five days [2][11] - The military industry sector is expected to remain active due to historical trends around military parades, with analysts recommending attention to this sector [8] ETF Insights - The National Defense and Military Industry ETF (512810) covers various themes including commercial aerospace, low-altitude economy, and military AI, making it an efficient tool for investing in core military assets [9] - The brokerage ETF (512000) is seen as a potential beneficiary of increased capital allocation as market sentiment shifts [13] - The technology sector, particularly AI, is experiencing volatility due to market corrections and significant fund outflows from key sectors [16][17]