This project implements a multi-agent investment research system for A-share stocks using 14 specialized AI agents that simulate institutional decision-making workflows. The agents engage in structured debate rounds, arguing bullish and bearish positions while risk-control agents provide oversight. The system supports natural language queries for stock research, scheduled automated analysis, and portfolio tracking, with integration into OpenClaw and Claude Code for extended capabilities.