Year: 2025
Type: article
Abstract: The Stock Market Prediction System leverages advanced machine learning techniques and Python to forecast stock price movements with improved accuracy. Developed using libraries like TensorFlow, Scikit-learn, and Pandas, this system processes historical data, technical indicators, and market trends to predict stock prices in real time. It features an intuitive user interface for data visualization and provides actionable insights through predictive analytics. By automating data analysis and forecasting, this solution empowers investors with data- driven decision-making, reduces risks, and enhances portfolio management efficiency
Author: Subhash Chandra Bose B H
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410731978