Building an AI-Powered Quantitative Trading System with Hermes Agent and IBKR

A developer built an automated ETF trading system using Twelve Data for market data, Python and ib_insync for strategy and execution, Hermes Agent for scheduling, and Interactive Brokers Gateway for brokerage access.

The bot uses a six-indicator buy rule and simpler sell triggers to trade ETFs such as SPY, QQQ, and IWM.

The article also walks through deployment fixes for unattended IB Gateway use, including the stable offline installer, JavaFX setup, IBC startup patches, separate paper-trading credentials, and disabling read-only API mode.

Overall, it offers a practical end-to-end blueprint for quantitative trading automation and highlights the IB Gateway issues most likely to break headless execution.