Market ecology views financial markets as ecosystems of diverse, interacting and evolving trading strategies. We present a heterogeneous, empirically calibrated multi-agent market ecology agent-based model. We outline its potential as a valuable and challenging training ground for optimising trading strategies using machine learning algorithms and defining research tasks.