AI test bed for real business applications

AI test bed for real business applications

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 ap...

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Bibliographic Details
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
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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