Case Study: Ergodic cuts data processing from 8 hours to 30 minutes with Coiled

How Ergodic cut data processing from 8 hours to 30 minutes

Ergodic Investment Group, a small three-person hedge fund and fintech startup, faced severe computational limitations that hindered its trading strategies. Their complex data processing and agent-based simulations, which relied on powerful local workstations, took over eight hours to complete. This bottleneck prevented them from making same-day trading decisions, putting them at a significant disadvantage against larger competitors.

By implementing Coiled's cloud computing platform, Ergodic was able to seamlessly scale its existing Python-based stack, which used Dask for distributed computing and Polars for data processing. The solution dramatically accelerated their workflows, cutting data processing time from over eight hours to just 30 minutes. This enabled same-day trading and allowed the team to explore vastly more strategy parameters, fundamentally improving their models and providing a key competitive edge.

Ergodic

Jim Kennington

Chief Investment Officer