Automating Stock Screening with Multi-Agent Orchestration: A Zero-to-Hero Redesign

This article presents a fascinating leap in personal investment technology by transitioning from rigid, rule-based scripts to a dynamic multi-Agent architecture. By utilizing Agentic AI Patterns, the author has brilliantly minimized the need for human-in-the-loop interventions, allowing the AI to autonomously route tasks, adjust parameters, and synthesize complex financial analyses. It is a stellar example of how Agentic Engineering can transform static tools into self-correcting, intelligent financial assistants.