AI test bed for real business applications

• Main Author: Zhu, Dongzhe
• Other Authors: Mohammed Yakoob Siyal
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/155471
• Institution: Nanyang Technological University

With the rise of AI algorithms and machine learning, business analysis researchers began to apply new mathematical algorithm tools in research. Many companies focusing on quantitative transaction models also tried to embed new algorithms in existing AI test platforms. AI test platform has many applications in the capital market, including options, stocks, funds, etc. this project focuses on the prediction of the stock market. Stock is a way for individuals and institutions to profit from the capital market. Investors are keen to check various prediction articles to make their transactions as profitable as possible. To predict the stock market, this project tries three common methods, LSTM, RF, and CNN, and makes a comparison and analysis.