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@article{193922,
        author = {Deepasundari Y and Narmatha S and Rohita T},
        title = {CRYPTOHUB: AN ANALYTICAL DECISION SUPPORT MODEL FOR CRYPTOCURRENCY INVESTMENT USING LIVE MARKET DATA},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {1513-1521},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193922},
        abstract = {Due to the high growth rate of the financial system, there is a need for a reliable, accurate, and user-friendly system, including all the information related to the cryptocurrency market. CRYPTOHUB: An Analytical Decision Support Model for Cryptocurrency Investment Using Live Market Data, a web-based system for the presentation of cryptocurrency information in an easily accessible and structured manner, incorporating live data from the live markets. Live updates on prominent cryptocurrencies, statistical information on individual cryptocurrencies, analysis of changes in the prices of cryptocurrencies, and the ability to explore historical trends through dynamic visualization tools are included, and a user can invest in any coin using dummy money to see the strategies in the portfolio tracker up and down. Apart from market monitoring, CRYPTOHUB has an "Education Hub" from which users can acquire knowledge regarding cryptocurrency-related terms, blockchain technology, market-related terms, and investment-related risks. Moreover, CRYPTOHUB has "AI Prediction Analysis" which provides information and data regarding market movements and key market indicators to assist users with comparative analysis. Hence, the inclusion of data aggregation, analysis tools, and educational resources within a user-friendly interface can be construed as a feature within the CRYPTOHUB.},
        keywords = {Cryptocurrency Investment; Decision Support panel; Live Market Data; Financial Analytics; Market Volatility; Digital Assets; Dummy money.},
        month = {March},
        }