Di Yi Cai Jing Zi Xun·2025-09-04 07:24Market Overview - The three major stock indices in A-shares collectively declined, with the Shanghai Composite Index closing at 3765.88 points, down 1.25% [1][2] - The Shenzhen Component Index closed at 12118.7 points, down 2.83%, and the ChiNext Index closed at 2776.25 points, down 4.25% [1][2] - The total trading volume in the Shanghai and Shenzhen markets reached 2.54 trillion yuan, with nearly 3000 stocks declining and over 2200 stocks rising [1] Sector Performance - Semiconductor, precious metals, CPO, and liquid-cooled server concepts experienced significant declines, while retail, banking, and tourism sectors were active [4] - The retail sector led the gains, with stocks like Huijia Times, Guofang Group, Baida Group, and Guoguang Chain hitting the daily limit [5] Banking Sector - The banking sector showed strong performance towards the end of the trading session, with Agricultural Bank of China rising over 5% to reach a new historical high, and Postal Savings Bank increasing nearly 3% [6] - Other major banks such as CITIC Bank, Industrial and Commercial Bank of China, and Bank of China also saw gains [6] Capital Flow - Main capital flows showed net inflows into power equipment, commercial retail, and light industry manufacturing sectors, while there were net outflows from electronics, communications, and computing sectors [7] - Specific stocks like Agricultural Bank of China, Pacific, and China Shipbuilding received net inflows of 1.47 billion yuan, 1.439 billion yuan, and 947 million yuan respectively [7] Institutional Insights - CITIC Securities noted that the significant decline in heavyweight stocks indicates a short-term market adjustment, with expectations for the index to fluctuate between 3600 and 3900 points [8] - China Galaxy Securities identified support for the Shanghai Index around 3731 points, with potential rebounds near 3674 points [8] - Guodu Securities observed a return to rationality in market sentiment, suggesting a slow bull market with opportunities for dynamic portfolio optimization [8]