Algorithmic and Manual Power Trading Platform
Automation of high-volume energy market operations
Client: Power Trading Enterprise, Germany
1M+
deals processed per day
200×
throughput growth (from 5,000/day)
↓
cloud system management costs
Challenge
Legacy manual trade processing capped operations at roughly 5,000 deals per day. Market growth, algorithmic trading and continuous market changes demanded a platform built for high throughput — without losing manual control where traders need it.
Solution
A high-performance automated trading platform and the foundation for algorithmic trading: financial and physical delivery logic, power-loss and capacity-reservation handling, external and interconnector reporting — with manual override retained for traders.
Implementation
- 01Event-driven microservices architecture on Azure (AKS)
- 02High-throughput messaging: Kafka, Azure Event Hubs, RabbitMQ
- 03Financial and physical delivery logic, including UK–EU interconnector reporting
- 04Manual trade processing retained alongside automation
- 05Infrastructure as code and continuous delivery (Terraform, Helm, Azure DevOps)
Business impact
Over 1 million deals per day processed — and the number keeps growing
Dramatic reduction in cloud system management costs
Increased speed, turnover and value of trading operations
A base for algorithmic trading strategies
Technology stack
Have a complex system to build or modernize?
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