Ge Long Hui A P P·2025-11-19 08:57Market Overview - The Hong Kong stock market indices experienced declines, with the Hang Seng Tech Index falling by 0.69%, reaching a new low since early September. The Hang Seng Index and the Hang Seng China Enterprises Index decreased by 0.38% and 0.26%, respectively [1][2]. Technology Sector - Major technology stocks mostly declined, with Xiaomi dropping nearly 5%, Kuaishou down over 1%, and slight declines in JD.com, Meituan, Baidu, and Tencent. Alibaba saw an increase of over 1% [2][4][5]. New Energy Vehicle Sector - Stocks in the new energy vehicle sector fell, including Li Auto, NIO, Chery, Beijing Automotive, BYD, and Leap Motor [6]. Semiconductor Sector - Semiconductor stocks experienced declines, with companies like Shanghai Fudan, Jingmen Semiconductor, and Zhongxing Communications reporting losses [7][8]. Gold Sector - Gold stocks led the market gains, with China Gold International rising over 8%. Other gold-related stocks also saw increases, driven by expectations of significant gold purchases by global central banks [9][10]. Military Industry - Military stocks performed well, with China Shipbuilding Industry rising over 9%. Analysts expect the military industry to enter an upward cycle, supported by recent quarterly reports indicating a narrowing decline in performance [11][12]. Oil Sector - Oil stocks saw an uptick, with China Petroleum & Chemical Corporation increasing nearly 3%. This rise is attributed to recent increases in crude oil futures prices [13]. Lithium Battery Sector - Lithium battery stocks gained, with Tianqi Lithium rising nearly 3%. The market for lithium carbonate has shown significant recovery, with prices expected to rise further due to increasing demand [15][16]. Market Sentiment - The market sentiment remains cautious, with expectations of continued adjustments in the Hong Kong stock market due to weak macro liquidity and corporate earnings forecasts. Investors are advised to wait for clearer signals from U.S. monetary policy and mainland economic data before seeking rebound opportunities [21].