OptionFlow Sentinel: Autonomous AI Hedge Fund

Retail options trading is emotionally driven, highly complex, and lacks rigorous risk oversight. OptionFlow Sentinel democratizes institutional-grade quant infrastructure by providing retail traders with a fully autonomous, multi-agent AI Hedge Fund. Instead of relying on a single black-box LLM prompt, Sentinel orchestrates a highly resilient 5-agent debate graph powered by NVIDIA's Llama 3.1 70B. The process begins with the Scanner Agent, which dynamically connects to the Alpaca MCP Server to ingest real-time market news and identify volatility mispricings. The Strategy Agent then constructs complex multi-leg options profiles (such as Bear Call Spreads). Before a single dollar is risked, the Risk Officer agent strictly evaluates the proposal against the user's hard account limits, possessing absolute veto power. Finally, the Execution Agent routes approved trades into live limit orders via the Alpaca API. The architecture is built for production-grade multi-tenant security. Users link their broker accounts via a React dashboard, and the FastAPI backend securely encrypts their keys using 256-bit Fernet cryptography. Beyond live execution, Sentinel leverages the Alpaca CLI inside Celery background workers to run heavy-duty historical strategy backtests without freezing the API. Active positions are completely auto-managed. Background workers continuously poll live P&L data; if a trade hits predefined profit or loss targets, the system autonomously fires closing orders to cut human emotion entirely out of the equation. All AI reasoning, risk vetoes, and system logs are transparently streamed to the user's frontend Audit Trail.