Marco De Luca

Papers

Total Citations

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About

Marco De Luca is a pioneering researcher at the intersection of artificial intelligence, behavioral finance, and market microstructure. His work focuses on the critical dynamics between human traders and algorithmic trading systems—a domain that has reshaped modern financial markets. De Luca’s most influential study, “Studies of Interaction Between Human Traders and Algorithmic Trading Systems” (2011), with 16 citations, provides foundational insights into how automated “robot” traders, now responsible for a majority of global trades, interact with and impact human decision-making in experimental markets. His follow-up work, “Why Robots Failed - Demonstrating the Superiority of Multiple-order Trading Agents in Experimental Human-agent Financial Markets” (2015), challenges prevailing assumptions by showing that sophisticated multi-agent strategies can outperform simpler robotic systems, offering a nuanced view of AI’s limitations and potential in trading environments. De Luca’s contributions are vital for understanding the socio-technical systems of modern finance, bridging computer science and economics. His research is essential reading for students and scholars interested in the future of automated markets, human-AI collaboration, and the ethical implications of algorithmic trading.