A Dynamic News Portal For Stock Market

Authors: Dharmik Patel, Aniket Jadhav, Ritesh Pagar, Ojas Joshi, Prof. Dr. Pankaj Dashore

Country: India

Full-text Research PDF File:   View   |   Download

Abstract: The "News Portal for Stock Market using Machine Learning" is a dynamic and user-centric platform situated at the intersection of finance and artificial intelligence. This project aims to harness the power of machine learning and natural language processing to provide users with real-time, curated, and insightful information related to the stock market. The portal aggregates news articles from diverse, reputable sources, and employs sophisticated data preprocessing techniques to ensure relevance and accuracy. It goes beyond conventional news portals by offering users the ability to gauge market sentiment through sentiment analysis models. Moreover, users can access daily updates on the top-performing stocks and those facing significant losses, enhancing their decision-making capabilities in the volatile world of finance. A Additionally, the portal presents lists of the day's top gainers and top losers in the stock market, providing users with a comprehensive view of market dynamics and opportunities for informed investment decisions.

Keywords: Stock Market, Machine Learning ,Natural Language Processing, News Aggregation ,Information Top-performing Stocks ,Investment Decisions Volatility

Paper Id: 230455

Published On: 2024-01-25

Published In: Volume 12, Issue 1, January-February 2024

Cite This: A Dynamic News Portal For Stock Market - Dharmik Patel, Aniket Jadhav, Ritesh Pagar, Ojas Joshi, Prof. Dr. Pankaj Dashore - IJIRMPS Volume 12, Issue 1, January-February 2024.

Share this