AI-powered, event-driven trading system that monitors markets, runs multi-agent analysis, and can execute paper trades via Alpaca.

Status: Deployed on Azure; automated runs are active. Trade execution is paper-only by default.

• Monitors market data and triggers analysis during market hours.
• Orchestrates multi-agent analysis (18 analysts plus risk and portfolio managers) with LangGraph.
• Applies risk checks and aggregates signals into a single decision.
• Executes paper trades via Alpaca and can optionally persist results in Cosmos DB.
• Provides CLI and web app interfaces for interactive runs.

• docs/overview.md
• docs/architecture.md
• docs/operations.md

1. Create .env from .env.example and set at least one LLM API key.
2. Install dependencies:

poetry install

3. Run the CLI:

poetry run python src/main.py --tickers AAPL,MSFT --trade-mode analysis

For the web app, see app/README.md.

This project is for educational and research purposes only.

• Not investment advice.
• Use paper trading unless you are prepared to accept the risks of live trading.
• The authors assume no liability for financial losses.