A Stock Market Predictor
Abstract
Stock market investors require efficient tools to manage and analyse their investment portfolios in a fastchanging market environment.Most existing portfolio management systems provide limited analysis and do not address the problem of fake or misleading financial news.This survey paper presents an intelligent portfolio service in the stock market that uses artificial intelligence and machine learning techniques to support better investment decisions.The system helps users track stock performance, analyse portfolio risk, and improve diversification strategies.A major feature of the system is fake news detection, which uses natural language processing and sentiment analysis to identify whether stock-related news is real or fake.The platform also includes advanced data visualization tools such as bar charts, pie charts, line graphs, and Japanese candlestick patterns.Real-time stock data integration allows continuous portfolio monitoring.The proposed system reduces the impact of misinformation in the financial market.Overall, the system enhances investor awareness and promotes data-driven decision-making.
Fields of Study & Subjects
Stock Market Forecasting Methods
Complex Systems and Time Series Analysis
Financial Risk and Volatility Modeling
Publication details
- Journal / source
- International Research Journal of Modernization in Engineering Technology and Science
- Publication date
- 4 January 2026