This project will use images of technical stock price movements from Bloomberg to train neural network models to predict stock price changes and volatility.
Research activities during this project may include:
- a literature review
- quantitative research
- participating in writing a scholarly paper.
This project is expected to run for 10 to 15 hours a week, for 8 weeks.
Contact the supervisor for more information.