This year's market landscape is undergoing a qualitative change. AI and big data models have become the core engines of institutional research and investment. They can analyze market sentiment fluctuations in real time and capture opportunities in themes that you might not understand. This asymmetry of information creates an awkward situation—institutions are making precise moves in the shadows, while ordinary investors are passively following in the open.

What’s more painful is that the Matthew Effect, where the strong get stronger, is becoming increasingly evident. Institutions deliberately avoid sectors heavily held by retail investors and instead focus on tracks that require deep data analysis to understand. When retail investors are finally attracted by price increases and rush in en masse, institutions are already prepared to offload and switch positions. This is not an isolated phenomenon but the norm in the current market.

From the era of hot money to the era of quantitative trading, and now to the AI intelligent era, the dimensions of market competition are continuously upgrading. Institutions that master data and algorithms hold the keys to the market.