Why AI Trading Systems Fail: Building One That Actually Works

Most AI trading projects fail on integration and observability rather than raw intelligence. This project demonstrates a complete, auditable trading system with multi-agent decision-making, backtesting, and execution—all running locally without paid APIs. It redefines AI trading as a systems design challenge where traceability, reliability, and control matter more than isolated model performance.