Nifty 50 Stock Price Predictor Using Machine Learning
BARATHVIKRAMAN S K
, DHIVYESH BALAJI S , RUBAN R , VIKASH T
Stock market price prediction is a critical financial tool that aids investors and analysts in making informed decisions. With advancements in machine learning technologies, the accuracy of these predictions based on historical data has significantly improved. This project aims to predict stock prices for companies listed under the Nifty 50 index using historical data and a Linear Regression model. By employing Python's yfinance library for data retrieval and Streamlit for web deployment, the project offers an interactive platform for users to predict and visualize stock price trends. The application is designed to serve as an accessible tool for retail investors, enabling them to forecast short-term price movements. Ultimately, this project illustrates how machine learning can be effectively applied in financial forecasting while ensuring user-friendliness and accessibility.
"Nifty 50 Stock Price Predictor Using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 11, page no.91 - 96, November-2024, Available :https://ijsdr.org/papers/IJSDR2411011.pdf
Volume 9
Issue 11,
November-2024
Pages : 91 - 96
Paper Reg. ID: IJSDR_212499
Published Paper Id: IJSDR2411011
Downloads: 000346999
Research Area: Computer Science & Technology
Country: Coimbatore, Tamil Nadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
