John Cartlidge

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About

John Cartlidge is a leading researcher at the intersection of computer science, finance, and complex systems, with a primary focus on understanding the dynamics of human-algorithm interaction in financial markets. His pioneering work investigates how the increasing prevalence of automated trading systems—or "robot" traders—alters market behavior and stability. Cartlidge’s most influential contributions include landmark studies on the “robot phase transition,” a phenomenon where markets shift from stable human-driven dynamics to chaotic, machine-dominated behavior once a critical threshold of algorithmic activity is crossed. His 2011 paper, *Studies of Interaction Between Human Traders and Algorithmic Trading Systems* (16 citations), and his 2013 follow-up, *Evidencing the “Robot Phase Transition” in Human-agent Experimental Financial Markets* (12 citations), provide foundational evidence for this transition using controlled experiments. These works have shaped regulatory discussions and risk management strategies in high-frequency trading. Cartlidge’s research is essential reading for anyone studying market microstructure, agent-based modeling, or the systemic risks posed by autonomous trading agents.