Fundamental Data-Driven Investment Analysis Platform

Investment analysis platforms utilizing fundamental analysis have transformed the investment decision making landscape by providing investors with tools to evaluate the intrinsic value of companies through metrics such as earnings, cash flow, and debt levels. This literature survey synthesizes research on platforms that integrate fundamental analysis, exploring advancements in data integration, predictive analytics, and user experience. While such platforms have become invaluable in assisting both institutional and retail investors, they face ongoing challenges with data standardization, model transparency, and usability. This review highlights key findings, discusses existing gaps, and suggests directions for future research, aiming to contribute to the development of more robust, user-friendly investment analysis platforms

Authors

Publication Details

Journal
International Journal of Engineering Technology and Management Sciences
Published
2025-01-01
DOI
https://doi.org/10.46647/ijetms.2025.v09i03.008
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Fundamental Data-Driven Investment Analysis Platform

T Nikhil, K. Ganesh, Prof.S.C.Puranik, Gaikwad Krushna
International Journal of Engineering Technology and Management Sciences
Big Data and Business Intelligence
article

Fundamental Data-Driven Investment Analysis Platform

T Nikhil, K. Ganesh, Prof.S.C.Puranik, Gaikwad Krushna
article en

Abstract

Investment analysis platforms utilizing fundamental analysis have transformed the investment decision making landscape by providing investors with tools to evaluate the intrinsic value of companies through metrics such as earnings, cash flow, and debt levels. This literature survey synthesizes research on platforms that integrate fundamental analysis, exploring advancements in data integration, predictive analytics, and user experience. While such platforms have become invaluable in assisting both institutional and retail investors, they face ongoing challenges with data standardization, model transparency, and usability. This review highlights key findings, discusses existing gaps, and suggests directions for future research, aiming to contribute to the development of more robust, user-friendly investment analysis platforms

International Journal of Engineering Technology and Management SciencesVol. 9(3)
Openalex Percentile: Top 75%
Big Data and Business Intelligence
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