I just noticed an interesting phenomenon about AI trading bots in the crypto market. In unfamiliar or extreme market conditions, it turns out that bots built based on historical data often completely fail.

That's why, most AI trading bots are trained on relatively normal and predictable historical data. But when market conditions change drastically—whether it's a sudden crash, extreme volatility, or a situation that has never happened before—their algorithms get confused and often make wrong decisions.

What's interesting is that this isn't just a technical issue, but also a fundamental problem with the machine learning approach that heavily depends on past patterns. If the market condition shifts, these AI trading bots are basically blind.

If you've ever tried using such trading bots, you probably know the feeling. During normal markets, the bot can perform decently. But when there's a shock or completely unexpected situation, the bot often becomes more of a liability than an asset.

So the moral of the story? Never fully trust your AI trading bot in uncertain market conditions. Better to monitor closely or even trade manually if you feel the market is in a phase that’s unpredictable. Better safe than sorry, especially if this is your own capital.