Hao Wu

CASCADED GLOBAL–LOCAL REPRESENTATION LEARNING FOR FINANCIAL TIME-SERIES FORECASTING

The findings indicate that passing attention-derived context into a bidirectional memory module offers a practical means of combining long-horizon structure with local temporal variation, although computational cost remains relevant for latency-sensitive trading applications.