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AI app: Alpaca Trading Committee for Alpaca AI Trading Agents Hackathon

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Alpaca Trading Committee

Alpaca Trading Committee

Vercel

Created by team QuantXtreme on September 03, 2026

Options Alpha Agents

Most AI trading systems lack hard risk controls, learning loops, and transparent rejection reasoning. The Alpaca Trading Committee separates AI analysis from deterministic risk: four LLM analysts feed a debate agent that creates one trade proposal, while an eight-rule Risk Governor independently approves or rejects it before Alpaca execution. Every rejection is stored and evaluated counterfactually; every executed trade is fully journaled. These feedback loops reveal patterns, improve future decisions, and make the system auditable. The Risk Governor enforces confidence, return, drawdown, position, sector, total exposure, direction, and position-cap limits without AI override.

Category tags:

Finance, Investment, Personal Finance

Github Presentation Demo

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