Forecast Accuracy Is Not Trading Profit: Evolving Small Recurrent Networks for Stock Return Prediction
The study compared various time series models, including linear and transformer architectures, against recurrent networks evolved by neuroevolutionary search. The evolved networks ranked first on both forecast accuracy and net trading performance across multiple portfolios. Crucially, while they are the best performers, the second most accurate model still lost money after accounting for trading costs.