Case Study: BASF achieves stronger EURUSD trading returns with Multiverse Computing's quantum-enhanced ensemble modeling

BASF boosts EURUSD trading returns with Multiverse Computing over a 5-year historical dataset

BASF, operating one of the largest corporate treasury functions in the world, sought to optimize its EURUSD trading strategy. Its challenge was that classical machine learning models for currency trading signal generation often overfit to historical data without generalizing to live markets. To find a more consistently profitable approach, BASF engaged Multiverse Computing to explore quantum and quantum-inspired methods.

Multiverse Computing applied a quantum-enhanced ensemble modeling solution to BASF's Forex trading. This approach successfully extracted better signals from historical FX data than the classical benchmarks tested. The solution outperformed every classical benchmark and delivered measurably better returns on a real investment horizon for the client.

BASF