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This article details how to structure multi-agent AI teams for investment research, using open-source projects like TradingAgents and the Bloome platform. It emphasizes that the key to effective agent collaboration is the organizational architecture, not the model intelligence.
This guide explains how finance professionals can set up Claude Code, an AI coding assistant, to perform investment research tasks.
The author provides a detailed look at Kimi's latest internal beta features — Claw Groups and Agent Clusters. Claw Groups allow multiple AIs to take on distinct roles in a group chat while challenging each other's outputs, while Agent Clusters can break down complex tasks and distribute them across 10 parallel sub-agents. The author used these features for investment research on tech stocks like NVIDIA, and sees this as a sign that AI tools have officially entered the "organizational" tier.