#加密资产交易风险管理 AI trading agents are really here, and this time it seems different. The previous trading bots were basically automated炒菜, but the new generation is starting to play with risk adjustment strategies—things like Sharpe ratio, maximum drawdown, VaR. They sound fancy, but they are indeed more sophisticated.

Interestingly, custom-designed AI agents clearly outperform general large models. What does this mean? It indicates that casually using ChatGPT for trading is basically a waste of time; truly profitable strategies still require private tools and professional optimization. Therefore, the voices worried that AI democratization will quickly eliminate Alpha are not without reason—ultimately, the beneficiaries will still be institutions and big players with resources to invest.

The future might look like this: AI helps you automatically execute strategies, but risk parameters and preferences still need to be set by yourself. In simple terms, no matter how smart it is, it’s just a tool; the key depends on whether the user is reliable. For retail investors like us, instead of relying on AI to make big money, it’s better to learn how to set risk red lines—that’s the core.