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Group 1 - The recent surge in margin trading data on the STAR Market indicates a significant influx of retail investment, with a notable increase of 1.84 billion yuan on September 16, and a standout performance from companies like Cambricon, which attracted 499 million yuan [1][3] - The apparent excitement surrounding stocks like Cambricon and Shengyi Electronics may mask deeper risks, as historical patterns suggest that when stocks gain widespread attention, they often have already completed the most profitable phase [3][4] - The phenomenon of "washing" by institutional investors is highlighted, where they strategically shake out retail investors during periods of price consolidation, leading to a situation where retail investors sell at a loss just before a price rebound [4][10] Group 2 - Quantitative data reveals that seemingly random price fluctuations often follow clear mathematical patterns, indicating that price drops accompanied by increased short covering may not signify selling pressure but rather a cleansing process [6][8] - Despite the high financing figures for stocks like Cambricon, quantitative models suggest that such high-profile stocks are often subject to more intense price fluctuations, which can mislead ordinary investors [8][14] - The ability to interpret market behavior through data analysis allows for a more composed response to market volatility, distinguishing between normal price adjustments and genuine risk signals [11][13] Group 3 - Ordinary investors are advised to be cautious of surface-level data, as record-high financing balances can represent both opportunities and potential traps [15] - Understanding the essence of market dynamics is crucial, as stock price increases require continuous cleansing of floating capital [15] - In an information-inequitable market, investors should seek tools that provide a more objective perspective to navigate the complexities of market behavior [15]