Multi-Agent Stock Research with CrewAI + Chart Library

When you ask a single AI agent to research a stock, it tries to do everything at once: check the chart pattern, assess the market, evaluate sectors, and synthesize a view. The result is usually shallow. Multi-agent systems fix this by splitting work across specialists -- exactly how institutional research desks operate. CrewAI lets you build that structure with AI agents and Chart Library's pattern intelligence API. The Crew Design: Two Specialist Agents Pattern Analyst -- specializes in individual stock chart analysis. Uses Chart Library's intelligence endpoint to find historically similar charts, reads forward return statistics, and runs scenario stress tests. Always cites specific numbers: "7 of 10 similar patterns went up over 5 days, averaging +2.3%." Regime Analyst -- specializes in the market-wide environment. Checks SPY/QQQ regime status, sector rotation, and crowding risk. Frames everything as historical analogy: "similar conditions historically led to..." rather than predicti