The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management

This paper proposes an agentic architecture for institutional asset management, demonstrating how AI agents can autonomously manage investment portfolios. This "self-driving portfolio" concept has strong real-world application potential in algorithmic trading, financial advisories, and automated wealth management, offering potentially more efficient and optimized investment strategies.