Supervisor
Muhammad Iqbal
Programme
BSc (Hons) in Computing in IT
Subject
Computer Science
Department
Computer Science
Abstract
The focus of this project is developing a tool that can be used in conjunction with other methods to help an investor and/or financial analyst in making an informed decision when making an investment choice taking into consideration stock data.
The project has three main goals which are to try predicting buy and sell signals with the use of a classification model, and to predict the approximate value for next day’s closing price of a stock of our choice with the use of a regression model.
My last goal with this project is to create models easy to use and understand, and that can provide useful predictions and insights to the end user.
Date of Award
Spring 5-2024
Full Publication Date
5-2024
Access Rights
open access
Document Type
Undergraduate Project
Resource Type
bachelor thesis
Recommended Citation
Bezerra Martellini, Daniel, "Stock Market Predictions with Machine Learning ." (2024). ICT. 55.
https://arc.cct.ie/ict/55