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Wednesday, June 26 • 14:30 - 14:50
Trading strategies using deep reinforcement learning

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A trader is defined as an entity that buy and sells financial instruments, while a trading strategy is a fixed plan that is designed to achieve a profitable return. The goal for the work presented here is to train a reinforcement learning agent, which is acting as the trader, to learn how to propose a good trading strategy. The agent considers not only the current information of the market but also some information of the news around the analyzed financial instrument.
Speakers
avatar for Suraj Shinde

Suraj Shinde

Director - AI Digital Lab, EVERIS MEXICO S DE RL DE CV
Suraj Shinde is Director of AI Digital Lab at everis, which is focused on research and development of artificial intelligence related technologies and solutions including developing proofs of concept, intellectual property and assets. He is also Head of everis AI in Mexico which is... Read More →
avatar for Cristyan Rufino Gil Morales

Cristyan Rufino Gil Morales

AI Research Lab Leader, everis
Self-taught person, goal-oriented, focused on AI solutions and passionate for hard challenges.Experience in the use of Reinforcement Learning algorithms and its combination with robotics. Wide experience using deep learning and machine learning models.

Wednesday June 26, 2019 14:30 - 14:50 GMT-03
Room 8 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil
  New techniques

Attendees (178)