Live Crypto Analysis Dashboard with Django

Please see: data_management/management/commands for ETL process

This project is a comprehensive crypto analysis dashboard that offers real-time insights into cryptocurrency markets. Utilizing Django for the web framework, ccxt for fetching live market data, and PostgreSQL for data storage, the dashboard presents a dynamic view of cryptocurrency metrics, including price movements and volume trends.

-- Project Status: [ongoing]

---

Project Objective

The aim of this project is to provide a live dashboard for cryptocurrency analysis, enabling the monitoring of real-time market data and trends. The dashboard allows users to view tabular data, visualize cryptocurrency prices, and select different symbols for a tailored analysis. Efficiency in data handling and storage is achieved through pooling, temporary storage, and batch database updates.

Technologies

• Python
• HTML
• JavaScript
• CSS
• PostgreSQL
• Requests
• asyncio
• pprint
• ccxt (for API data fetching)
• PyArrow
• SQLAlchemy
• psycopg2
• aiofiles
• Django

Methodologies

• Data Fetching: Using ccxt as an API wrapper to continuously fetch live cryptocurrency market data.
• Data Processing: Transforming data types and utilizing temporary JSON storage to accumulate data before batch updating the PostgreSQL database, enhancing efficiency and reducing database load.
• Web Development: Creating a responsive and interactive dashboard using Django, along with HTML, JavaScript, and CSS for frontend development.
• Visualization: Implementing dynamic visualizations for cryptocurrency prices and trends, allowing users to select different cryptocurrencies for analysis through an interactive dropdown menu.
• Efficient Data Management: Employing connection pooling and asyncio for efficient data handling and storage, ensuring timely updates to the dashboard without compromising performance.

---

Contacts

For further information or to discuss this project in detail, please reach out.

Email: [email protected]