Lately, I feel like the logic behind AI trading has clearly been changing.

In the past, it was based on simple technical analysis and extending past data, but now it seems to incorporate more complex market psychology. Especially, algorithms that predict large traders' movements are evolving.

When these kinds of changes happen, the timing for traditional bottom-finding also shifts. Previously, it was judged simply by the decline amount, but now it analyzes volatility, liquidity, on-chain data, and multiple market factors simultaneously. So, if you're aiming to catch the bottom, you need to understand this new logic.

Personally, I think this turning point is actually an opportunity. If you can understand what AI is looking at, you'll be able to identify more accurate bottom points.

What concerns me is how much these advanced analysis tools will penetrate into the general trader community. There’s a possibility that information gaps could widen, or conversely, the opportunity to catch bottoms could become democratized.

In the current market environment, deciding when to catch the bottom is no longer just about technicals; it depends on how well you understand the market mechanisms of the AI era. Using the latest data analysis tools at Gate to observe the market might not be a bad idea.