AI风起搅动市场，数据看清真实脉络

Core Insights - The article emphasizes that the core of the market lies not in the news but in the actual trading behaviors, which can be better understood through quantitative data analysis [1][20]. Group 1: Trading Characteristics Behind Price Movements - The article discusses how price increases can be misleading, as they may be driven by "profit-taking" behaviors, indicating that the enthusiasm of major funds is declining despite rising prices [6][10]. - Quantitative data reveals that even during price increases, if "profit-taking" dominates trading, it suggests that the market may soon experience volatility due to the participation of less informed investors [7][10]. Group 2: Trading Logic Under Illusions of Prosperity - It is common for prices to rise while the underlying trading data shows "profit-taking," indicating that funds are cashing out, which can lead to unexpected price fluctuations [7][10]. - The article highlights that relying solely on news and price trends can mislead investors, as quantitative data can provide a clearer picture of the actual trading dynamics [10]. Group 3: Details of Trading During Price Declines - During price declines, the initial reaction is often panic; however, quantitative data may indicate "short covering," suggesting that previously bearish investors are re-entering the market [12][15]. - The presence of "short covering" during price drops indicates that there is still active participation from funds, contrary to the belief that investors are retreating due to negative news [15][18]. Group 4: Cognitive Upgrade Through Quantitative Data - The article asserts that ordinary market participants often fall into the trap of being swayed by news and emotions, leading to impulsive decisions [20][21]. - The core value of quantitative data lies in its ability to help investors see beyond subjective biases, allowing for a more rational understanding of market dynamics and fostering a more stable investment mindset [20][21].