Neurocognition Applied to Autonomous Trading Systems: An Analysis of the Implications of Neuralink's Brain-Computer Interface.

Neurocognition Applied to Autonomous Trading Systems: An Analysis of the Implications of Neuralink's Brain-Computer Interface. AbstractThis paper investigates the application of neurocognitive principles in the development of trading robots, with an emphasis on the possibilities opened up by high-density neural interfaces, such as those developed by Neuralink. The study discusses how computational modeling of human decision-making processes—including emotions and cognitive biases—can be enhanced by direct neurophysiological data, offering a new paradigm for interpreting and anticipating market movements that are ultimately reflections of collective human behavior. The theoretical foundations, practical applications, systemic risks and ethical issues arising from this convergence are analyzed. Keywords: Computational Neuroscience; Algorithmic Trading; Brain-Computer Interface; Neuralink; Behavioral Finance.