Year of Award
2022
Document Type
Thesis - Campus Access Only
Degree Type
Master of Science (MS)
Degree Name
Mathematics
Other Degree Name/Area of Focus
Data Science
Department or School/College
Department of Mathematical Sciences
Committee Chair
Brian Steele
Commitee Members
Brian Steele, Jon Graham, Javier Perez Alvaro
Keywords
Data Analysis, Prediction, Time Series, Machine Learning, Tensorflow
Subject Categories
Data Science
Abstract
A study in stock market analysis using machine learning algorithms to generate a stock price prediction five minutes into the future. Artificial intelligence algorithms were developed to adaptively choose how to invest money using the generated pre- dictions. The system was applied to over 1200 days of stock price data for over 25 different companies. The results demonstrate the plausibility of using the system to produce excellent returns on investment. For an initial investment of $10,000 dollars the system resulted in a one year profit of $340,000 dollars.
Recommended Citation
Williams, John Denis, "A STUDY INTO THE PREDICTION OF STOCK MARKET PRICES" (2022). Graduate Student Theses, Dissertations, & Professional Papers. 11861.
https://scholarworks.umt.edu/etd/11861
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© Copyright 2022 John Denis Williams