# Utilizing Modern Large Language Models (LLM) for Financial Trend Analysis and Digest Creation

arXiv: https://arxiv.org/abs/2510.01225 · HTML: https://mlsanity.com/paper/2510.01225/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 6 references that are in the map.
- First posted on arXiv 22 Sep 2025.

## Builds on (most cited first, 2 of 2)

- [Text Summarization Techniques: A Brief Survey](https://mlsanity.com/paper/1707.02268/) (2017)
- [Relation Extraction : A Survey](https://mlsanity.com/paper/1712.05191/) (2017)

## Built on by (most cited first, 4 of 4)

- [FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles](https://mlsanity.com/paper/2603.11339/) (2026)
- [AI SciBrief as a Gateway to Research: A Framework for Onboarding Students into New Research Areas](https://mlsanity.com/paper/2606.12413/) (2026)
- [Prompt Chaining in Practice: A Case Study in Automated Scholarly Report Generation](https://mlsanity.com/paper/2607.27210/) (2026)
- [Resolving the Missing Financial Data Crisis: A Generative AI Pipeline for SEC 10-K Extraction](https://mlsanity.com/paper/2609.35864/) (2026)

## Abstract (arXiv)

The exponential growth of information presents a significant challenge for researchers and professionals seeking to remain at the forefront of their fields and this paper introduces an innovative framework for automatically generating insightful financial digests using the power of Large Language Models (LLMs), specifically Google's Gemini Pro. By leveraging a combination of data extraction from OpenAlex, strategic prompt engineering, and LLM-driven analysis, we demonstrate the automated example of creating a comprehensive digests that generalize key findings, identify emerging trends. This approach addresses the limitations of traditional analysis methods, enabling the efficient processing of vast amounts of unstructured data and the delivery of actionable insights in an easily digestible format. This paper describes how LLMs work in simple words and how we can use their power to help researchers and scholars save their time and stay informed about current trends. Our study includes step-by-step process, from data acquisition and JSON construction to interaction with Gemini and the automated generation of PDF reports, including a link to the project's GitHub repository for broader accessibility and further development.