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Web-Based Stock Market Prediction Using Artificial Intelligence

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Web-Based Stock Market Prediction Using Artificial Intelligence


Sanskruti Sanjay Dube



Sanskruti Sanjay Dube "Web-Based Stock Market Prediction Using Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Smart Innovations in Computer Science and Applications, March 2026, pp.1054-1065, URL: https://www.ijtsrd.com/papers/ijtsrd101682.pdf

The rapid growth of digital financial markets has produced large amounts of stock-related data that need efficient analysis for meaningful interpretation. Manually observing market trends takes a lot of time and is often unreliable for decision-making. This study introduces a web-based stock market prediction system that combines data analysis techniques with simple machine learning models to help users understand stock behavior. The proposed system gathers historical stock data, processes relevant indicators, and generates short-term trend predictions. A web interface is created to display stock performance through interactive charts and tables, allowing users to interpret patterns without needing technical knowledge. The system combines Python for backend processing with web technologies for real-time user interaction. Experimental results show that the system effectively identifies stock movement trends and offers an easy-to-use platform for market analysis. This approach focuses on simplicity, interpretability, and educational usability, making it suitable for both academic and practical uses in financial data analysis.

Stock Prediction, Machine Learning, Web Application, Data Analysis, Financial Forecasting


IJTSRD101682
Special Issue | Smart Innovations in Computer Science and Applications, March 2026
1054-1065
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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