AlphaLoop: Autonomous Neural Options Trader

The Problem Retail options traders are outgunned by institutional algorithmic desks. They lack the speed to parse complex signals (RSI, IV Rank) and the discipline to stick to rigid risk management rules. What it does AlphaLoop acts as a fully autonomous hedge fund manager. The system continuously scans 20 global markets. When an opportunity arises, it routes live data to a Gemini-powered Strategy Selector. Gemini analyzes market conditions and selects optimal multi-leg options strategies (e.g., Iron Condors for high-IV markets, Credit Spreads for momentum). Before execution, a rigid mathematical "Risk Guardian" agent intercepts the order to evaluate portfolio net delta, sizing constraints, and daily loss limits. If approved, the Execution Agent fires the trade directly to the Alpaca API via the Model Context Protocol (MCP). How we built it The backend is an asynchronous Python FastAPI server deployed on Render, connecting Gemini 2.5 Flash to Alpaca's trading infrastructure via MCP. Our frontend is a Bloomberg-inspired dashboard hosted on Vercel. To give judges transparency into the AI's "brain," we built real-time visualizers: a dynamic Chart.js Strategy Matrix, an Institutional Order Flow tracker, and a Web Speech API voice assistant that audibly announces the AI's decisions. Challenges & What's Next We overcame complex edge cases involving portfolio delta calculations triggering false positives in our risk gates. Next, we plan to add a RAG pipeline to parse SEC filings for earnings plays.