AI-Powered Comparative Analysis of the Top Five Cryptocurrency Assets Using Real-Time Market Data
- Published in: Proceedings of the 7th National HBCU Blockchain, FinTech, and AI Conference
- Conference: 7th National HBCU Blockchain, FinTech, and AI Conference
- Conference Location: Nashville, Tennessee
- Date of Conference: November 8–10, 2026
- Publisher: National Center for the Study of Blockchain and FinTech, Morgan State University
- Published: 2026
- Publication Type: Full Paper
- Pages: 51-82
- Paper ID: 4
Author(s)
Abstract
The rapid expansion of blockchain technology and digital asset markets has increased the demand for intelligent tools capable of evaluating cryptocurrency performance using real-time financial data. As cryptocurrency markets become more dynamic and interconnected, investors, researchers, and financial technology practitioners require timely, data-driven insights to support informed investment decisions (Lazea et al., 2026). While numerous market platforms provide real-time price information, relatively few integrate live market data, technical analysis, artificial intelligence (AI), and comparative analytics within a unified decision-support environment. The study demonstrates how integrating live market data, technical analysis, and AI-driven analytics within a browser-based platform enables transparent and efficient comparative evaluation of leading cryptocurrency assets. The proposed framework provides a practical approach for assessing digital asset performance and supports investment decision-making while offering a scalable foundation for future research involving alternative cryptocurrencies, sector-specific digital assets, and extended market periods.
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Copyright & License:Copyright © 2026