002837，秒速封板！这一赛道，集体爆发！

Market Performance - On July 31, the three major indices showed mixed performance, with the Shanghai Composite Index down 0.68%, Shenzhen Component Index down 0.45%, and the ChiNext Index up 0.43% [1] - The market saw a total trading volume exceeding 1.1 trillion yuan, with over 3,400 stocks declining [1] Sector Highlights - The assisted reproductive concept surged, with companies like Gongtong Pharmaceutical and Lide Man hitting the daily limit [1] - The pharmaceutical sector strengthened, with stocks such as Aoxiang Pharmaceutical and Kangyuan Pharmaceutical also reaching the daily limit [1] - The liquid cooling server concept performed well, with the Wind Liquid Cooling Server Index rising by 3.7% [1] - Cyclical stocks, including coal, steel, oil, and non-ferrous metals, experienced declines, along with sectors like aquaculture, real estate, electricity, and insurance [1] Liquid Cooling Technology - The liquid cooling server concept gained traction as data centers face increasing energy consumption challenges [1] - Companies are adopting liquid cooling technology to enhance efficiency and reduce heat dissipation energy consumption [1] - Invek, a leader in precision temperature control, launched China's first self-developed outdoor cabinet air conditioning for communication, and introduced a modular indirect evaporative cooling solution for data centers [2] CPO Concept Stocks - On July 31, the Wind Optical Module (CPO) Index rose over 4.7%, with stocks like Cambridge Technology hitting the daily limit [2] - Goldman Sachs projected that the sales of 800G optical modules will reach 19.9 million and 33.5 million units in 2025 and 2026, respectively, with market values expected to be $12.73 billion and $19.37 billion [2] AI Sector Growth - AI application stocks surged, with companies like Yidian Tianxia and Zhidema hitting the daily limit [3] - The total number of registered users for large model applications exceeded 3.1 billion, with API call users exceeding 159 million [3] - Huatai Securities identified four key trends in the AI large model industry chain, including a shift towards token-driven growth and increasing server computing power demand [3]