FinAgent OS
Multi-agent wealth-management system with quantitative risk analysis.
FinAgent OS is a LangGraph- and FastAPI-based multi-agent system that coordinates user profiling, asset screening, market timing, critic review, and compliance auditing across 54 instruments in nine asset classes.
The system separates LLM reasoning from deterministic quantitative computation. It implements Markowitz optimization, risk parity, 3,000-path Monte Carlo simulation, VaR/CVaR, stress testing, backtesting, and performance attribution.
The project integrates AkShare and yfinance data, persistent SQLite sessions, Docker deployment, and GitHub Actions CI, with a 269-test passing baseline.