In the past couple of days, I had a deep experience with #degenai, and I was quite surprised by it. This thing is essentially an on-chain subjective quantitative trading tool. I dug into its entire trading logic, which has two built-in order logic systems: one is driven by a large model that feeds the model data such as sentiment, popularity, token trading, and price changes, and the large model makes decisions based on this; The other uses traditional quantitative indicators, such as technical analysis, trading volume, and smart money wallet movements, which leans more towards traditional rational logic. The combination of these two logic systems actually captures arbitrage opportunities during the spread of MEME sentiment. This approach is not about capturing all profits from trends but focuses on arbitraging during the most profitable, most certain, and lowest risk segments of volatility. A good trading model must be like a vast river, only taking a sip from it. From this perspective, DegenAi abstracts the human weaknesses on-chain into models and rules, and then executes trades through automation and algorithmic methods. Compared to retail investors relying on intuition, gambling instincts, and speed in PVP, this fast in-and-out strategy based on sentiment spread, information time differences, and algorithmic advantages is the underlying logic that allows this quantitative model to outperform in the long run and truly establish itself.