This project is a second-year mini-project designed to provide users with a comprehensive suite of tools for stock market analysis. It integrates four main functionalities: stock analysis, portfolio performance analysis, financial news aggregation, and stock price prediction (for educational purposes).
- Stock Analysis:
- Provides detailed information on individual stocks, including historical data, key metrics, and company profiles.
- Enables users to visualize stock trends through interactive charts and graphs.
- Offers tools for comparing different stocks based on various criteria.
- Portfolio Performance Analyzer:
- Allows users to track the performance of their virtual or real investment portfolios.
- Calculates key portfolio metrics such as returns, risk, and diversification.
- Provides visualizations of portfolio growth and asset allocation.
- Financial News:
- Aggregates financial news from various sources to keep users updated on market trends and events.
- Presents news in a clear and organized format, allowing users to quickly identify relevant information.
- May include features for filtering or searching news based on keywords or topics.
- Stock Price Prediction (Educational):
- Implements a Long Short-Term Memory (LSTM) model to predict stock prices.
- Note: Predictions are for educational purposes only and should not be used for actual investment decisions.
- Provides insights into the application of machine learning in finance.
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[Specify the programming languages, frameworks, libraries, and databases used in your project. For example:]
- Frontend: React, HTML, CSS, JavaScript
- Backend: Node
- Data Visualization: \Chart.js, D3.js
- Machine Learning: TensorFlow, Keras
- Database: \MongoDB
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LSTM Stock Prediction Model:
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Stock Portfolio Analyzer/Tracker: