University: University of Technology Sydney
Academic supervisors:
Distinguished Professor Fang Chen
Dr. Ting Andy Guo
Industry partner: Nasdaq
Thesis Topic
Anomaly Detection in Stock Market data using Deep Learning Models
My thesis topic is Anomaly detection in stock market data using deep learning models. It deals with various anomalies in the stock market data, specifically insider trading. Insider trading is crucial to maintain the market integrity and fairness of trading to all. Detecting this has been done in isolation considering the securities as independent units with no correlation. In my research we are trying to improve the performance of the existing methods by taking into consideration the correlation of data.
About Nasdaq
Nasdaq is a global technology company that delivers world-leading platforms that improve the integrity, transparency and liquidity of the global economy.
What part of the business is the researcher involved in?
Anti-Financial Crime Technology
What questions/problems is the researcher helping to answer/solve?
Improve the performance of the existing system to detect insider trading.