Breaking complex financial tasks into specific subtasks for AI agents produces better trading returns than giving them broad instructions.
This paper builds a trading system using multiple AI agents that work together like an investment team. Instead of giving agents vague instructions, the researchers break down stock analysis into specific, detailed tasks—like analyzing financial statements separately from news.