Using Machine Learning in Trading and Finance

In this module we discuss the key components that are common to every trading strategy, no matter how complex. This foundation will help guide you as you develop more advanced strategies using machine learning techniques.

This module introduces TensorFlow, covering its API hierarchy, components, tensors and variables, and working with data using the tf.data API.

This module covers neural network training using TensorFlow 2 and Keras, including activation functions, regularization techniques, and model deployment.

Momentum trading is a strategy in which traders buy or sell assets according to the strength of recent price trends. Price momentum is similar to momentum in physics, where mass multiplied by velocity determines the persistence with which an object will follow its current path (like a heavy train on a track). In financial markets, however, momentum is determined by other factors like trading volume and rate of price changes.

In this module, we introduce pairs trading. We will discuss what pairs trading is, and how you can make money doing it. We will discuss what you need to know about the members to form a suitable pair.