震荡市寻脉络，量化数据看资金行为特征

Group 1 - The A-share market is currently experiencing a consolidation phase with decreased trading activity, but individual stocks are showing signs of recovery [1] - Short-term trading funds are expected to remain active in technology-related sectors, while mid-term investment strategies will focus on high-dividend sectors with stable earnings as policy expectations materialize [1] - The core driver of market performance is not the news itself, but the actual trading behavior of funds [1][2] Group 2 - There is a notable divergence in stock performance within the same thematic background, which is attributed to differences in fund participation characteristics [3] - Quantitative data indicates that "institutional inventory" can reflect the trading activity of institutional funds, which is crucial for understanding stock performance [5] - Prior to the emergence of market hotspots, active trading behavior can often be detected through quantitative data, indicating that institutional funds are already engaged before significant price movements occur [7] Group 3 - News events often serve as catalysts for stock performance, but the underlying active trading by institutional funds is the primary driving force behind price movements [9] - Quantitative data helps to construct an objective understanding of market dynamics, allowing investors to focus on real trading behaviors rather than being swayed by fluctuating news [11]