This blog post details the creation of a multi-agent trading research system using LangChain Deep Agents. The system automates tasks such as writing strategy code, backtesting, and result analysis. Important considerations for maintaining control over the automated process are discussed, as well as practical insights on how to leverage AI for trading research.