Key Features & Contributions:

1. Stock Market Data Aggregation:

• Integrated multiple APIs, such as Alpha Vantage and IEX Cloud, to pull in real-time stock data from global exchanges including NYSE, NASDAQ, LSE, and more.
• Developed a scalable Django REST API to process, store, and serve stock data efficiently, enabling rapid data retrieval for the front-end React app.

2. Comprehensive Stock Analysis Tools:

• Built customizable stock analysis dashboards where users can track specific stocks, visualize price movements, and analyze key metrics like P/E ratio, market cap, and earnings per share (EPS).
• Implemented technical analysis indicators such as Moving Averages (SMA, EMA), Relative Strength Index (RSI), and Bollinger Bands to help users make data-driven decisions.
• Integrated real-time charts with D3.js and Recharts, allowing users to interact with visual data through features like zooming, panning, and tooltip hover details.

3.Watchlists and Alerts:

• Designed a watchlist feature, enabling users to track their favorite stocks and receive customized alerts for price movements, percentage changes, and volume surges.
• Implemented server-side push notifications for alerts, providing users with timely updates on their watched stocks.

4.Global Stock Exchange Support:

• Supported over 50 stock exchanges worldwide, enabling users to access data from diverse markets including the U.S., Europe, and Asia-Pacific.
• Built location-based filtering, allowing users to focus on specific stock exchanges or sectors relevant to their region or investment strategy.

5. User Authentication and Profiles:

• Used JWT-based authentication to secure user sessions and manage data permissions, ensuring that user-specific features like watchlists, preferences, and alerts are handled securely
• Developed profile pages where users can set investment goals, customize dashboard layouts, and view their historical interactions with the platform.

6.Advanced Search and Filtering:

• Implemented powerful search and filtering options, allowing users to search for stocks by name, ticker symbol, sector, market cap, and other criteria.
• Built dynamic filtering for real-time stock comparisons, helping users evaluate multiple stocks at once and make side-by-side comparisons on key metrics.

7. News and Sentiment Analysis:

• Integrated a financial news API to deliver the latest stock market news and updates related to user-tracked stocks.
• Developed sentiment analysis tools using natural language processing (NLP) to analyze news headlines and articles, providing users with insights on how market sentiment might affect stock prices.

8. Responsive and Intuitive UI:

• Designed the front-end using React and Material-UI (MUI), providing a responsive, clean, and intuitive interface optimized for both desktop and mobile use.
• Emphasized ease of navigation, ensuring users can quickly access their stock data, watchlists, and settings with minimal clicks.

9.Real-Time Stock Data with WebSockets:

Integrated WebSockets for real-time stock data updates, allowing users to see live price changes and volume updates without needing to refresh the page.

Implemented an efficient subscription model where users can follow specific stocks and receive updates directly to their dashboard.

10.Scalability and Performance Optimization:

• Deployed the backend API and frontend app using Docker containers for easier scaling and consistent performance across different environments.
• Optimized database queries and API endpoints to handle large datasets and deliver results quickly, even when processing thousands of stocks simultaneously.