STOCK PRICE PREDICTION USING AI & ML

  • Mahi Singh GL Bajaj Institute, of Technology and Management,
  • Kanishka Jain GL Bajaj Institute of Technology and Management
  • Dev Kumar Singh GL Bajaj Institute of Technology and Management
  • Deepak Kumar GL Bajaj Institute of Technology and Management
  • Dr. Pawan Kumar Mall GL Bajaj Institute of Technology and Management
DOI: https://doi.org/10.53555/cse.v11i1.6296
Keywords: Stock prediction, Machine learning, AI forecasting, Deep learning, Predictive analytics

Abstract

In the financial sector, forecasting stock prices is a crucial responsibility as it helps traders and investors make well-informed decisions. The intricacy and fluctuations of financial markets provide formidable obstacles. For precisely capturing complex market dynamics conventional forecasting techniques like technical analysis and econometric models are inadequate. These traditional methods frequently depend on past price trends and oversimplified statistical correlations. Artificial intelligence has grown and computing power has expanded. Now Al based prediction techniques have become more effective at forecasting stock values. This study examines the artificial intelligence role in stock prices Prediction. We provide a thorough summary of the literature in this field classifying different types of prediction models and comparative analysis of previous work done.

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Published
2025-05-09
How to Cite
Mahi Singh, Kanishka Jain, Dev Kumar Singh, Deepak Kumar, & Dr. Pawan Kumar Mall. (2025). STOCK PRICE PREDICTION USING AI & ML. IJRDO -Journal of Computer Science Engineering, 11(1), 15-19. https://doi.org/10.53555/cse.v11i1.6296
Issue
Vol. 11 No. 1 (2025): IJRDO - Journal of Computer Science Engineering (ISSN: 2456-1843)
Section
Articles

Copyright (c) 2025 IJRDO -Journal of Computer Science Engineering

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