Extreme and Sustainable Graph Processin...

The Graph-Massivizer project, funded by the Horizon Europe research and Innovation program, aims to create a high-performance and sustainable platform for extreme data processing. This paper focuses on one use case that addresses the limitations of financial market data. The project allows for the fast, semi-automated creation of realistic and affordable synthetic (extreme) financial datasets of any size for testing and improving AI-enhanced financial algorithms for green investment and trading. Synthetic data usage removes biases, ensures data affordability and completeness, consolidates financial algorithms and provides a statistically-relevant sample size for advanced back-testing.