The Challenge
A European energy trading firm needed better short-term price signals for gas and power markets. Their existing models were slow, lacked weather integration, and couldn’t capture supply-demand fundamentals effectively.
The Outcome
- 15–20% improvement in day-ahead price forecast accuracy
- Automated daily forecasts delivered to trading desk by 8am
- Scenario analysis capability enabling rapid response to market events
- Full documentation for internal model governance and audit trails
- Trading signals integrated into existing execution systems
“Kassriel Quant built us a forecasting system that actually works in real market conditions. They understood our fundamentals-driven approach immediately and delivered something our traders trust and use daily. — Head of Quantitative Analysis”