# Financial Time Series Forecasting

The first retriever specifically designed for financial time series forecasting, based on the Retrieval-Augmented Generation (RAG) framework

FinSeer StockLLM is an open-source 1-billion-parameter large language model specifically designed for financial time series forecasting, utilizing a Retrieval-Augmented Generation (RAG) framework.

ChronoBERT is a series of high-performance temporally consistent large language models designed to eliminate look-ahead bias and training data leakage while maintaining strong language understanding capabilities in time-sensitive applications.