Recently, I noticed that the logic behind AI trading has clearly changed. It used to be based on simple technical indicators, but now it incorporates much more complex market psychology. I think this is a significant change for those considering bottom-fishing strategies.

Because, while the traditional timing for bottom-fishing was automatically detected by AI, now that has become less effective. The behavioral patterns of market participants have diversified, making it difficult for a single algorithm to respond. Conversely, if you understand this change, new bottom-fishing opportunities should become visible.

The new AI trading logic now evaluates multiple market signals simultaneously. It combines various factors such as volatility, liquidity, sentiment, and on-chain data. Therefore, instead of simply bottoming out when prices drop, it’s necessary to discern these complex indicators.

I see this turning point as an opportunity rather than a setback. When the AI’s decision logic changes, it means market efficiency temporarily declines. If you can identify that gap, you may be able to judge the timing of bottoms more accurately. Especially in the next cycle, those who understand this new AI logic will have an advantage.