FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing

Researchers have developed FinTexTS, a new large-scale dataset that pairs financial news with stock price data using semantic matching and multi-level categorization. The framework uses embedding-based matching and LLMs to classify news into four levels (macro, sector, related company, and target company) for improved stock price forecasting accuracy.