Recently, I feel that the logic behind AI trading has clearly started to change.

Until now, AI trading mainly involved learning past patterns and mechanically buying and selling repeatedly. It was like automating technical analysis—buy when certain conditions are met, sell under different conditions—a simple rule-based approach.

However, now that framework is beginning to shift significantly. AI is no longer just a tool for automated trading; it has started to assess market psychology, macroeconomic factors, and even liquidity movements in a complex manner. In other words, it is analyzing more multifaceted market subtlety that cannot be captured by traditional technical signals alone.

What does this mean? It indicates that the timing for bottoming out is no longer judged solely by a "simple decline." Previously, breaking below a moving average was a clear sign of a bottom. But now, AI is trying to determine more deeply whether that decline is truly the bottom or just a correction.

It considers market participant sentiment, movements of large wallets, changes in fundamentals, and even correlations with other asset classes. By combining these factors, it aims to identify more precise bottoming points.

As a result, traders who relied solely on simple technical indicators are beginning to feel confused. What used to be a reliable bottom signal has now become ambiguous. But this also proves that the market has become more complex and more intelligent.

Therefore, for individual traders, it has become crucial not to take AI's judgments at face value but to understand the underlying logic. If you want to catch the bottom, you need to think for yourself about why that point is actually the bottom.