Summary of Finreport: Explainable Stock Earnings Forecasting Via News Factor Analyzing Model, by Xiangyu Li et al.
FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model
by Xiangyu Li, Xinjie Shen, Yawen Zeng, Xiaofen Xing, Jin Xu
First submitted to arxiv on: 5 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents FinReport, a novel automatic system designed to assist ordinary investors in stock earnings forecasting by collecting and analyzing financial news. Leveraging large language models, the system enables users without financial expertise to extract relevant information, summarize key findings, and generate comprehensive reports. This approach aims to democratize access to financial insights, empowering individual investors to make informed decisions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary FinReport is a special computer program that helps regular people invest in stocks by reading and understanding news articles about the stock market. The system makes it easy for anyone to collect important information, summarize what they find, and create reports without needing to know much about finance or investing. |
