Discipline: Mathematics and Statistics
Subcategory: Mathematics and Statistics
Jessica Thomas - Southern University at New Orleans
Deciding when to buy and sell a stock can be challenging. The purpose of this research is to use data science to simplify the process of acquiring a stock. Twenty stocks were selected and data was collected for each month of the year for eight years. For each stock, the closing price at the beginning and ending of each month were recorded. The gain (loss) percentage was then calculated. From the bar charts of the gains (losses), we can determine the characteristics of a stock at a particular period of the year. If there is consistency in any stock for a period of time, investors can use the information to invest in that stock during the same time in the future.
Funder Acknowledgement(s): MSEIP
Faculty Advisor: Joe Omojola, JOmojola@suno.edu
Role: I did the entire research project.