Deep learning and fintech
Project Description

Machine learning, in particular deep learning, has emerged as one of the most powerful classes of artificial intelligence algorithms. In recent years, deep learning has made significant impacts in various applications, from computer vision to speech processing to natural language processing.

Recently, many financial companies have started to use deep learning algorithms in trading. The use of deep learning also allow amateurs to trade like a pro without significant market investing experience.

In this project, you will implement and study important issues related to the use of machine learning for stock price prediction.

Supervisor
KWOK James Tin Yau
Quota
2
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

The student will implement and experiment with novel algorithms. Strong interest in machine learning and good programming skills are expected.

Applicant's Learning Objectives

1) Understanding machine learning, and in particular deep learning;
2) Understanding timeseries prediction;
3) Invent and implement new ideas related to machine learning and stock price prediction.

Complexity of the project
Challenging