AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework

arXiv:2403.12582v1 Announce Type: new
Abstract: The task of financial analysis primarily encompasses two key areas: stock trend prediction and the corresponding financial question answering. Currently, machine learning and deep learning algorithms (ML&DL) have been widely applied for stock trend predictions, leading to significant progress. However, these methods fail to provide reasons for predictions, lacking interpretability and reasoning processes. Also, they can not integrate textual information such as financial news or reports. Meanwhile, large language models (LLMs) have remarkable textual understanding …

abstract algorithms analysis arxiv benchmarking cs.cl deep learning deep learning algorithms financial framework however key machine machine learning prediction predictions progress question question answering retrieval retrieval-augmented stock trend type