Team Idea
This project is an autonomous multi‑agent trading framework that combines sharp market scouting with disciplined risk governance. Analyst agents identify opportunities, while bull and bear agents challenge the thesis to ensure balanced perspectives. A trader agent proposes execution strategies, but every move is checked by a risk governor enforcing exposure limits, volatility checks, position sizing, and drawdown control. A portfolio supervisor then makes the final decision to approve, reduce, or reject trades. Each step is recorded in a transparent audit timeline that captures reasoning, modifications, and final actions. Execution is carried out via Alpaca in paper trading, with results feeding back into the audit trail. The system is designed as a fusion of AI strategy, risk discipline, and human‑like accountability, creating a trading lab where every decision leaves a trace and every move is explainable.
Team Members
Unknown Hacker
mohammedfaisalparvez81818
RAHMAT ULLAH
rahmat_ullah666