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

Mathematics

Committee Chair

Brian Steele

Commitee Members

Brian Steele, Jon Graham, Javier Perez Alvaro

Keywords

Data Analysis, Prediction, Time Series, Machine Learning, Tensorflow

Publisher

University of Montana

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.

Available for download on Thursday, May 18, 2023

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