GS-FUSE: Granger-Supervised Gated Fusion and Multi-Granularity Alignment for Event-Driven Financial Forecasting
Researchers introduce GS-Fuse, a machine learning framework that improves financial forecasting by intelligently combining event-driven text with price data. The system uses causal analysis to determine when news actually predicts market movements, addressing a key limitation in existing multimodal AI models that treat all data sources equally.
