Summary of Key Points Core Viewpoint - The Hong Kong stock market experienced significant net buying and selling activities on October 9, with a net inflow of 30.43 billion HKD from northbound trading. The most actively traded stocks included Kuaishou-W, ZTE Corporation, and Xiaomi Group-W, while SMIC, Hua Hong Semiconductor, and Alibaba-W faced the highest net selling pressure [1][5]. Group 1: Net Buying and Selling Activities - Northbound trading recorded a net buying of 48.53 billion HKD through the Shanghai Stock Connect and a net selling of 18.1 billion HKD through the Shenzhen Stock Connect [1]. - Kuaishou-W (01024) led net buying with 10.85 billion HKD, followed by ZTE Corporation (00763) with 4.57 billion HKD, and Xiaomi Group-W (01810) with 2.31 billion HKD [5][6]. - Alibaba-W (09988) faced a net selling of 7.51 billion HKD, while SMIC (00981) and Hua Hong Semiconductor (01347) saw net selling of 3.48 billion HKD and 6.34 billion HKD, respectively [2][6]. Group 2: Company-Specific Developments - Kuaishou's strong performance is attributed to its leadership in AI video content, with a projected revenue growth of 13% year-on-year for Q3, reaching 35.3 billion RMB [5]. - ZTE Corporation's new SuperPod solution aims to enhance AI training capabilities for enterprise clients, which is expected to drive growth in the AI market [5]. - Xiaomi Group's electric vehicle deliveries exceeded 40,000 units in September, showing an increase from 36,000 units in August, indicating a positive trend in production capacity [5]. - Alibaba's recent challenges stem from internal reports regarding Oracle's server rental income, which negatively impacted market sentiment [6]. Group 3: Market Trends and Valuations - The semiconductor sector is experiencing significant selling pressure, particularly for SMIC and Hua Hong Semiconductor, due to high static P/E ratios exceeding 300, leading to adjustments in margin financing [6][7]. - Despite the current valuation pressures, analysts believe that the semiconductor sector still has upward potential driven by AI-related growth [7].