I built a multi-service backend platform that continuously monitored market opportunities, executed trades, processed post-trade workflows, and provided internal operational control through a back-office dashboard.
The system was designed for 24/7 autonomous operation in a highly competitive and unstable third-party environment, with a strong focus on low-latency execution, resilience, and operational visibility.
Highlights
Real-Time Market Monitoring: The platform continuously scanned market data to detect actionable trading opportunities as quickly as possible.
Low-Latency Execution: Async services and event-driven workflows were used to keep the monitoring-to-execution loop fast and responsive.
Resilient Third-Party Integrations: Retry policies, session recovery, and fallback logic helped the system survive unstable external environments without constant manual intervention.
Operational Back Office: An internal dashboard gave visibility and control over accounts, balances, execution flow, and post-trade processing.
Stack
Core Backend
PythonDjangoaiohttpasyncpgaio-pika
Data & Messaging
PostgreSQLRedisRabbitMQ
Automation & Infrastructure
DockerPlaywright
Operational Notes
Continuous autonomous operation in a volatile third-party trading environment
Fast monitoring-to-trade pipeline built for competitive execution speed
Operational visibility across balances, accounts, and post-trade workflows
Production-ready service architecture for long-running automated trading
