In the quest for a robust trading strategy capable of navigating the dynamics of a complex environment, Reinforcement Learning algorithms offer significant advantages over traditional Machine Learning techniques. In this paper, we propose multiple deep learning models capable of predicting signals that capture sentiment and major events that affect the stock prices of companies.