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Modernization of Brokerage Trade Order Data Collection System
  1. case
  2. Modernization of Brokerage Trade Order Data Collection System

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Modernization of Brokerage Trade Order Data Collection System

uplinesoft.com
Financial services
Information technology

Business Challenges

Rapid user growth strained existing trade order processing systems, causing inefficiencies in order execution, delayed financial instrument data aggregation, and operational bottlenecks in corporate action processing. Legacy systems struggled with handling modern trading requirements like automated stop orders and real-time execution reporting.

About the Client

Leading brokerage firm with 9.9 million account holders requiring scalable trading infrastructure

Key Objectives

  • Implement direct order internalization capabilities
  • Enable automated stop order execution mechanisms
  • Optimize financial instrument data aggregation pipelines
  • Improve system stability and error handling
  • Prepare for microservices architecture migration

Core System Requirements

  • Direct bank-customer order execution engine
  • Automated stop order placement and execution
  • Multi-source financial instrument data aggregation
  • Real-time execution status tracking
  • Corporate action processing optimization

Technology Stack

Golang
PostgreSQL
Couchbase
Apache Kafka
Kubernetes

System Integrations

  • Exchange APIs
  • Market data feeds
  • Corporate action notification systems

Operational Requirements

  • Sub-100ms order execution latency
  • 99.99% system availability
  • Horizontal scalability
  • Real-time data synchronization
  • Regulatory compliance logging

Expected Business Impact

Accelerated corporate action processing from 2.5s to 0.1s execution time, enhanced system stability through architectural modernization, and improved operational efficiency enabling support for 10M+ user base while maintaining sub-second trade execution performance.

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