连续获融资净买，但背后的猫腻是致命的

Group 1 - The article highlights that 93 stocks in the Shanghai and Shenzhen markets have received net financing inflows for five consecutive days or more, with some stocks experiencing net inflows for up to 15 trading days, indicating a potential investment signal [1] - Investors often face a dilemma in determining whether stock trends indicate a peak or a temporary pullback, as traditional judgment frameworks rely on questionable expert opinions or ambiguous interpretations, leading to decision-making anxiety [3] - The core pricing power of a stock is determined by the trading behavior of participating funds, suggesting that objective quantitative data is essential for accurately reflecting real trading activities [1][3] Group 2 - The traditional decision-making framework lacks a unified objective anchor, relying instead on uncertain external viewpoints or subjective interpretations, which complicates actual decision-making and can induce anxiety [3] - The "institutional inventory" data, which reflects the active participation of institutional funds in trading, is crucial for understanding market dynamics, as it does not represent fund inflows or outflows but rather indicates whether institutions are actively engaged [5] - When analyzing single stocks, the active status of "institutional inventory" data can help investors see beyond misleading price trends, providing a clearer picture of market behavior [5][7] Group 3 - The article emphasizes that the objective characteristics of trading behavior will ultimately be validated in the long-term performance of stocks, contrasting with traditional judgments that focus on short-term price movements [9] - Stocks that previously showed strong rebound trends but lacked institutional participation subsequently weakened, while those with weaker rebounds but consistent institutional involvement maintained their core driving logic [12] - The use of quantitative data not only addresses immediate decision-making challenges but also aids investors in establishing a sustainable investment cognitive framework, minimizing emotional interference and enhancing decision reliability over time [12]