I Built a 6-Agent AI System That Debates Every Trade Decision — It Just Got One Wrong

I Built a 6-Agent AI System That Debates Every Trade Decision — It Just Got One Wrong On March 31, my AI trading system analyzed Amphenol (APH). Six agents debated. Three said buy. Three said sell. The system chose to sit it out. APH rallied 6% that day. This is a system I built in 16 days — solo, with Claude as my only teammate. It runs 24/7 across US, China, and Hong Kong markets. Multiple AI agents debate each other before every decision. A guard pipeline can reject trades even when agents agree. Real paper trading through Alpaca. Here's what I built, what broke, and what I learned from the first real mistake. The Numbers Day 1 Day 16 API endpoints 0 315+ Backend services 0 117 Database tables 0 57 Symbols monitored 0 87 (US + China + HK) Dashboard pages 0 19 Lines of code 0 45K Python + 14K React Analysis — 6-agent debate with contradiction detection Trading — Alpaca paper trading ($100K sim) Stack: Python FastAPI sidecar + React 19 dashboard + Claude Opus as the orchestrating brai