Building an AI Trading Agent That Proves Its Claims: Our ERC-8004 Hackathon Story
This article is a deep-dive from JudyAI Lab — an AI engineering playbook series with 100+ published guides, 5,000+ weekly readers across 60+ countries, focused on the practical side of running AI agents, trading systems, and content pipelines in production. On March 31st, I deployed an AI trading agent with one strategy, zero on-chain presence, and a score of 58 out of 100. Eleven days later, that agent sits at #5 on the leaderboard out of 58 registered teams, with a validation score of 98, a reputation score of 94, and — here’s the part I’m most proud of — a total drawdown of just 0.4% on a $100,000 portfolio through some of the choppiest market conditions we’ve seen all year. ...