In this installment of our webinar series we'll explore how techniques in Reinforcement Learning and AI can be applied to Algorithmic Trading.

We'll start with a presentation of Causal AI and how it can be used to find explicit cause-and-effect links and hidden signals in large amounts of data. These techniques can be applied to gain real-time predictive analytics.

Next there will be a presentation on how PyTorch can be used to train a Deep Neural Network using technical indicators. Backtesting results from these methods will also be discussed.