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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

STOCK MARKET ANALYSIS AND PREDICTION SYSTEM USING MACHINE LEARNING AND DATA MINING TECHNIQUES

Dr. M.Balamurugan Naveen M P.Saranya Vinoth G Rajkumar M Susendiran MS

Mohanapriya

Department of Computer Science and Engineering

The Kavery Engineering College, Mecheri Salem – 636453

(Affiliated to Anna University Chennai, Approved by AICTE, New Delhi)
DOI:https://doi.org/10.55041/ijcope.v2i4.594

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Abstract

Stock market prediction remains a complex challenge due to the highly volatile and dynamic nature of financial markets. This paper presents an intelligent Stock Market Analysis and Prediction System that combines machine learning algorithms with advanced data preprocessing and visualization techniques. The system employs Linear Regression, Random Forest, and SVM models to forecast future price movements based on historical stock data. Our results demonstrate that machine learning approaches achieve significantly better accuracy compared to traditional statistical methods. The system successfully processes large-scale financial datasets, identifies hidden patterns, and provides actionable insights for investors. Performance evaluation using MSE and RMSE metrics confirms the reliability of our predictive models. This work establishes a foundation for developing real-time prediction systems and demonstrates the practical applicability of AI in financial decision-making.

Keywords:

Stock Market Prediction, Machine Learning, Data Mining, Linear Regression, Random Forest, Support Vector Machine, Time-Series Analysis, Financial Data Analysis

 

How to Cite this Paper

M.Balamurugan, , M, N., P.Saranya, , G, V., M, R. & MS, S. (2026). Stock Market Analysis and Prediction System Using Machine Learning and Data Mining Techniques. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.594

M.Balamurugan, , et al.. "Stock Market Analysis and Prediction System Using Machine Learning and Data Mining Techniques." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.594.

M.Balamurugan, ,Naveen M, P.Saranya,Vinoth G,Rajkumar M, and Susendiran MS. "Stock Market Analysis and Prediction System Using Machine Learning and Data Mining Techniques." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.594.

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References


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Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Apr 26 2026
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