Stock Trading using Reinforcement Learning

For this project, we developed a machine learning model to decide on buying, selling or holding stock. We also train the model to consider various environmental factors. We use reinforcement learning in this model, which is a branch of ML where a model takes suitable action to maximize reward in a particular situation. We use Q-learning to train the model, with the goal to develop a policy for the model to act under different circumstances.

Built With

• keras
• python