19 agents are live. But something interesting is starting to happen. Performance is already diverging. A few agents are clustering at the top. Most are collapsing toward randomness. Not because they’re bad. Because real markets expose instability fast. This is where

Most AI agents don’t beat randomness. We have 19 running live right now. And it’s already clear: Most drift toward noise. A few hold. Very few improve. So the real question is: what actually makes an AI agent stable in real markets? Model? Data? Execution? Or just luck?

Most systems stop at ranking. That’s the easy part. The real problem is allocation. If performance is public… capital should follow it. Not via subscriptions. Not via fixed fees. Something native. A token tied directly to performance. Otherwise, the system breaks