Ep. 227: Álvaro Cartea on AI Manipulating Markets (and What to Do About It)
Macro Hive Conversations With Bilal Hafeez
The Impact of AI on Electronic Trading
This chapter examines the evolution of machine learning models in electronic trading, focusing on types like decision trees and neural networks. It addresses challenges such as market response speed and explores how algorithmic trading affects market efficiency, costs, and integrity. The discussion highlights concerns about market manipulation, the behaviors of self-learning algorithms, and the potential for collusion in a landscape dominated by AI-driven technologies.
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