ETF进化论 巨量主力资金，最新动向来了！ 原创 阅读全文 ...

Core Insights - The largest net inflow of funds was observed in the non-ferrous metals industry, with a net inflow of 5.361 billion yuan and a price change of 7.60% [1] - The non-bank financial sector experienced the largest net outflow of funds, totaling -6.725 billion yuan, with a price change of 0.10% [1] Industry Summary - Non-ferrous metals industry: - Net inflow: 5.361 billion yuan - Price change: 7.60% - Turnover rate: 4.93% - Trading volume change: 25.63% compared to the previous trading day [1] - Non-bank financial industry: - Net outflow: -6.725 billion yuan - Price change: 0.10% - Turnover rate: 1.56% - Trading volume change: 3.18% compared to the previous trading day [1]

Core Insights - The automotive industry experienced the highest net inflow of capital today, amounting to 0.882 billion yuan, despite a decline of 0.56% in its stock price [1] - The electronics industry faced the largest net outflow of capital, totaling 29.836 billion yuan, with a stock price drop of 2.75% [2] Industry Summary - **Automotive**: - Trading volume: 7.886 billion shares - Change in trading volume: -0.70% - Turnover rate: 3.54% - Net capital inflow: 0.882 billion yuan [1] - **Banking**: - Trading volume: 3.313 billion shares - Change in trading volume: -13.28% - Turnover rate: 0.25% - Net capital inflow: 0.566 billion yuan [1] - **Food and Beverage**: - Trading volume: 1.260 billion shares - Change in trading volume: +4.92% - Turnover rate: 1.37% - Net capital inflow: 0.128 billion yuan [1] - **Petrochemical**: - Trading volume: 1.499 billion shares - Change in trading volume: +26.44% - Turnover rate: 0.41% - Net capital inflow: 0.079 billion yuan [1] - **Beauty and Personal Care**: - Trading volume: 0.187 billion shares - Change in trading volume: +16.84% - Turnover rate: 1.82% - Net capital inflow: 0.044 billion yuan [1] - **Electronics**: - Trading volume: 11.048 billion shares - Change in trading volume: -9.07% - Turnover rate: 4.01% - Net capital outflow: -29.836 billion yuan [2] - **Healthcare**: - Trading volume: 4.526 billion shares - Change in trading volume: -3.61% - Turnover rate: 1.65% - Net capital outflow: -5.638 billion yuan [2] - **Telecommunications**: - Trading volume: 3.403 billion shares - Change in trading volume: -10.91% - Turnover rate: 1.94% - Net capital outflow: -5.446 billion yuan [2] - **Machinery Equipment**: - Trading volume: 8.215 billion shares - Change in trading volume: +0.23% - Turnover rate: 3.01% - Net capital outflow: -0.9596 billion yuan [2]

Core Viewpoint - The global market is awaiting the Federal Reserve's decision, with particular attention on whether Jerome Powell will trigger movements in the gold market [1] Group 1 - The analysis focuses on real-time gold order flows and the potential impact of the Federal Reserve's upcoming announcement [1] - There is an emphasis on identifying the movements of major funds in the market ahead of the decision [1]

Group 1 - The core concept revolves around the significance of "inner盘" (inner volume) and "outer盘" (outer volume) in the stock market, which reflect the buying and selling power dynamics and can indicate potential manipulations by major funds [2][3][4] - Inner盘 represents the volume of transactions initiated by sellers, while outer盘 represents the volume initiated by buyers. A larger outer盘 typically indicates bullish sentiment, while a larger inner盘 suggests bearish dominance [2][4] - The relationship between inner and outer盘 data and price movements is not absolute, as extreme scenarios can lead to misleading interpretations of market sentiment [3][4] Group 2 - There are inherent flaws in the inner and outer盘 data, particularly in low turnover situations where high outer盘 percentages may result from limited trading activity rather than genuine market interest [3] - Investors should be cautious of potential manipulations, such as major players using large orders to create false outer盘 data, which can mislead retail investors into making poor decisions [3][4] - A comprehensive analysis should include volume-price relationships, intraday trend divergences, and fundamental changes in the industry to accurately assess market conditions [3][4]