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Development of Real-Time Financial Data Platform with Advanced Analytics
  1. case
  2. Development of Real-Time Financial Data Platform with Advanced Analytics

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Development of Real-Time Financial Data Platform with Advanced Analytics

ventionteams.com
Financial services
Media
Energy & natural resources

Client Challenges

Existing systems suffered from high data transmission latency, limited customization capabilities, and outdated frontend architecture. Required modernization to support real-time market data delivery, enhanced user personalization, and improved analytical decision-making tools for institutional clients.

About the Client

Provider of real-time financial market data, technical analysis, and commodity pricing solutions for institutional clients

Strategic Goals

  • Implement real-time market data delivery infrastructure
  • Enhance platform customization for user-specific workflows
  • Improve analytical capabilities through advanced charting components
  • Optimize data processing performance for high-volume requests

Core System Requirements

  • Customizable user dashboards with market tracking widgets
  • Real-time stock market data subscriptions
  • Global commodity price tracking with historical comparisons
  • Advanced charting library with technical analysis tools
  • High-performance API for historical market data retrieval

Technology Stack

JavaScript ES6
AngularJS
Bootstrap
Laravel
Java
Redis
DynamoDB

System Integrations

  • Global financial exchange APIs
  • Third-party market data providers
  • Enterprise authentication systems

Performance Criteria

  • Support 1M+ requests per second throughput
  • Achieve sub-100ms latency for data updates
  • Ensure 99.99% system availability
  • Implement enterprise-grade data encryption
  • Maintain horizontal scalability for future growth

Business Outcomes

Enables institutional clients to process market data 10x faster, supports personalized workflow configurations for 500K+ users, and maintains leadership position through advanced analytics capabilities while reducing operational latency costs by 60%.

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