Financial Analysis of Stocks Using AI Agents

Twinkle Vigneswari V., Uma Maheswari K. M.

2025

Abstract

This proposed work showcases a minimalistic yet impactful approach to financial analysis using AI agents. Leveraging Python and open-source libraries, the system demonstrates the ability to autonomously gather, process, and analyse stock market data. By utilizing tools such as phi data and Yahoo Finance, the work highlights how AI-driven automation can streamline the analysis process for individual investors and small-scale analysts.

Paper Citation

in Harvard Style

V. T. and K. M. U. (2025). Financial Analysis of Stocks Using AI Agents. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 671-675. DOI: 10.5220/0013941700004919

in Bibtex Style

@conference{icrdicct`2525,
author={Twinkle V. and Uma K. M.},
title={Financial Analysis of Stocks Using AI Agents},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={671-675},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013941700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Financial Analysis of Stocks Using AI Agents
SN - 978-989-758-777-1
AU - V. T.
AU - K. M. U.
PY - 2025
SP - 671
EP - 675
DO - 10.5220/0013941700004919
PB - SciTePress