Predicting Stock Market Trends Using Supervised Learning Models

K. V. Sai Phani, K. Naresh, K. Dhanunjaya Achari, D. Jakeer, S. Yaswanth Reddy, N. Vinay Kumar

2025

Abstract

The present paper studies predicting trends in the stock market using supervised learning models. The primary analysis is that which machine learning algorithms yield the optimal stock price trend and movement predictions. Stock market prediction is a trampoline work due to the non-linear manner of the market. Decision Trees and Random Forests and Support Vector Machines (SVM) and Neural Networks serve under supervised learning techniques to study historical stock information for generating market insight. These modeling setups are evaluated first according to how well they predict market trends and then how well they are able to operate with their predictions in new market environments.

Paper Citation

in Harvard Style

Phani K., Naresh K., Achari K., Jakeer D., Reddy S. and Kumar N. (2025). Predicting Stock Market Trends Using Supervised Learning Models. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 471-477. DOI: 10.5220/0013914900004919

in Bibtex Style

@conference{icrdicct`2525,
author={K. Phani and K. Naresh and K. Achari and D. Jakeer and S. Reddy and N. Kumar},
title={Predicting Stock Market Trends Using Supervised Learning Models},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={471-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013914900004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Predicting Stock Market Trends Using Supervised Learning Models
SN - 978-989-758-777-1
AU - Phani K.
AU - Naresh K.
AU - Achari K.
AU - Jakeer D.
AU - Reddy S.
AU - Kumar N.
PY - 2025
SP - 471
EP - 477
DO - 10.5220/0013914900004919
PB - SciTePress