AI-Powered Financial Analyst: Evaluating Company Performance for Investment Decisions

Investing in businesses involves a deep understand- ing of their financial health, history, and future potential. Financial analysis is an essential component of investment decisions, which involves detailed studies that are often challenging for individuals without experience to carry out. The current research introduces an AI-based financial analysis platform that leverages the capabilities of Large Language Models (LLMs) to simplify the complex processes of data gathering, analysis, and documentation. The platform integrates with reliable financial data sources and analyzes up to four years of historical data for an actionable insight tailored to the particular type of industry. This study explores the methodology, advantages, and consequences associated with such a system, focusing on its capacity to democratize financial knowledge, minimize human error, and facilitate informed decision-making. By closing the divide between unprocessed data and actionable insights, the AIdriven solution streamlines the investment process for both professional experts and retail investors.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-23
DOI
https://doi.org/10.22214/ijraset.2025.71192
Primary Topic
Big Data and Business Intelligence
Type
article
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article

AI-Powered Financial Analyst: Evaluating Company Performance for Investment Decisions

Arun Kumar Tripathi
International Journal for Research in Applied Science and Engineering Technology
Big Data and Business Intelligence
article

AI-Powered Financial Analyst: Evaluating Company Performance for Investment Decisions

Arun Kumar Tripathi
article en

Abstract

Investing in businesses involves a deep understand- ing of their financial health, history, and future potential. Financial analysis is an essential component of investment decisions, which involves detailed studies that are often challenging for individuals without experience to carry out. The current research introduces an AI-based financial analysis platform that leverages the capabilities of Large Language Models (LLMs) to simplify the complex processes of data gathering, analysis, and documentation. The platform integrates with reliable financial data sources and analyzes up to four years of historical data for an actionable insight tailored to the particular type of industry. This study explores the methodology, advantages, and consequences associated with such a system, focusing on its capacity to democratize financial knowledge, minimize human error, and facilitate informed decision-making. By closing the divide between unprocessed data and actionable insights, the AIdriven solution streamlines the investment process for both professional experts and retail investors.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Sardar Patel University (IN)
Openalex Percentile: Top 81%
Big Data and Business Intelligence
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AI-Powered Financial Analyst: Evaluating Company Performance for Investment Decisions — Arun Kumar Tripathi · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS