#Data Engineering

Inside BatchBacktesting: parallel runs, explicit assumptions and useful outputs

Reading BatchBacktesting’s Python engine: worker pools, 0.2% commission, strategy defaults, CSV outputs and pitfalls in aggregate analysis.