#加密资产交易风险管理 Recently, I've seen the talk that AI trading agents are coming to the "iPhone moment," and we need to have a good discussion about what this means for us crypto enthusiasts.

Honestly, professional AI trading agents are indeed evolving—from simply pursuing returns to incorporating risk metrics like the Sharpe ratio and maximum drawdown. This is like upgrading from reckless trading to refined operations. But here’s a key point: those who can sustain profits are always institutions and individuals with resources to build private tools.

General large models can only slightly outperform the market in trading; customized agents are the real game-changer. What does this remind us? When participating in new project interactions, we shouldn’t blindly follow the hype around AI tools. Instead, we need to control the rhythm of interaction and the risk boundaries ourselves.

Here’s practical advice: before participating in an airdrop, ask yourself three questions—what is the interaction cost of this project, how much capital do you need to invest, and what is the maximum loss you can tolerate in the worst case. No matter how smart AI is, it can’t replace your judgment of your own risk tolerance. When farming airdrops, you should leverage the minimal cost to maximize interaction, rather than being led by the tools.