Development of a Real-Time Sports Betting Trading Platform with Data Visualization

The client requires a secure, scalable platform that provides real-time access to odds and live score data from multiple bookmakers worldwide. The platform must support high-frequency data updates during peak events, enable traders to compare odds, filter bookmakers, and analyze historical price changes, all while ensuring security and high performance under load.

A technology-driven sports betting company offering SaaS solutions to sportsbooks, enabling traders to access live odds and scores from multiple global bookmakers to optimize betting decisions.

• Develop a web-based platform displaying real-time sports betting data, including odds and scores, aggregated from multiple external bookmakers.
• Integrate with external bookmaker APIs to fetch and process live betting data efficiently.
• Enable traders to filter, compare, and select optimal betting options based on real-time and historical data.
• Ensure platform security through best practices such as secure authentication, access control, and incident logging.
• Implement scalable architecture capable of handling high data throughput (over 500 updates per second during peak events).
• Optimize user experience through fast load times (target load under 700 milliseconds) and responsive UI.
• Create a flexible, microservices-based backend to facilitate future feature expansion and integrations.

• Real-time data aggregation from multiple bookmaker APIs, supporting live updates during events.
• Display current odds, live scores, and betting markets on an intuitive dashboard.
• Tools for filtering bookmakers by odds steepness, selecting preferred bookmakers, and comparing odds across providers.
• Historical data visualization, including bet price changes over time.
• Secure user authentication and role-based access for traders and administrators.
• Admin management for user accounts and sports data.
• WebSocket communication channels for full-duplex real-time data flow.
• Performance optimization via caching and pre-generated components.
• Archiving of historical data in cost-effective storage solutions for future analysis.

• Multiple bookmaker APIs for real-time odds and score data
• Payment gateways such as PayPal for financial transactions
• Secure authentication services for user login and authorization
• Cloud storage services for data archiving (e.g., AWS S3 Glacier)
• Monitoring and incident logging tools

• Support high data update rates exceeding 500 updates/sec during peak times
• Ensure system loads are balanced dynamically for consistent performance
• Achieve initial load times under 700 milliseconds
• Implement OWASP security best practices including secure login, access control, and logging
• Design for high availability, resilience, and disaster recovery
• Scalable architecture to accommodate growing user base and data volume

The new sports betting trading platform is expected to provide traders with real-time, reliable access to comprehensive odds and score data, empowering informed decision-making. Achieving high performance and security objectives will support platform scalability, accommodate high traffic during major events, and increase trader efficiency. This will enhance competitive advantage, improve user satisfaction, and potentially lead to increased transaction volume and revenue growth.