Abstract
The objective of this work is to investigate two classes of reinforcement learning algorithms for the development of High-Frequency Trading strategies: Deep Reinforcement Learning algorithms and Reinforcement Learning algorithms through Evolutionary Optimizers. Initially, we propose the development of a realistic simulator of the Brazilian stock market, with the purpose of allowing the tr…