Today, ETH's performance is quite interesting. The AI robots had already credited nearly $300 before 2 PM, but human traders and mainstream deep learning trend algorithms are still on the sidelines watching.

This is the power of high-frequency quant trading—it is not limited by the depth constraints of most assets, and even small-cap assets can be easily entered into the market. Because for quant trading, the foundation of trend establishment is simple: good liquidity plus good market sentiment. When these two elements are in place, machines can automatically identify opportunities.

However, the logic of market makers is a different system altogether. They don't rely on trend judgment at all; instead, they profit through bid-ask spreads and risk hedging. These two strategies operate in the same market but play different roles, and the efficiency gap is indeed quite significant.