This page is currently being developed. Check back soon for complete documentation.
This guide will cover:
How parallel backtesting works in Datafye
Configuring parallelization settings
Horizontal scaling across compute resources
Running multiple parameter combinations simultaneously
Batch backtest orchestration
Resource management and allocation
Performance gains and scaling characteristics
Monitoring parallel backtest execution
Aggregating and comparing results
Best practices for large-scale backtesting
While we finalize this documentation, you can:
Review Backtesting Your Algo for backtesting fundamentals
Check out Genetic Algorithm Based Optimization which leverages parallelization
Explore Private Cloud Deployments for compute scaling options
Last updated: 2025-10-11
Last updated 3 months ago
