This project is a fully autonomous, multi-agent AI trading system built on top of the Alpaca Trading API. Our architecture leverages a sophisticated pipeline of specialized AI agents working in tandem to identify, analyze, and execute profitable options and equity trades. The pipeline begins with a Deterministic Filter that scans live market data to identify high-probability setups based on volume, liquidity, and implied volatility. These candidates are then passed to our Market Agent (for technical thesis generation) and News Agent (for real-time sentiment analysis). An Options Agent synthesizes this data to construct optimal multi-leg strategies. Finally, a Risk Assessment Engine mathematically validates every trade against strict portfolio constraints—such as max daily loss and exposure limits—before our Execution Agent routes the orders live to Alpaca. To visualize this complex orchestration, we built a stunning, real-time Next.js dashboard. It provides traders with an interactive command center to monitor live portfolio equity, track individual AI agent decisions, view strategy payoff charts, and audit the complete execution lifecycle. By combining strict quantitative risk management with advanced LLM reasoning, we’ve created an institutional-grade trading terminal.
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