Enhancing Cryptocurrency Market Predictability Using Artificial Intelligence: A Platform for Predicting Prices and Trends of ‎Bitcoin, Ethereum, and Cardano

  • Authors

    • Y . Suganya Department of Computer Science and Engineering, School of Computing, SRM Institute of Science and Technology, Tiruchirapalli, Tamil ‎Nadu 621105, India
    • Ch. Sudha Sree Department of Computer Science and Engineering (Data Science), RVR&JC College of Engineering, Guntur, Andhra Pradesh 522019, ‎India
    • S. Kayalvili Department of Artificial Intelligence, Kongu Engineering College, Perundurai, Tamil Nadu 638060, India
    • D. Joel Jebadurai Department of Management Studies, St. Joseph's College of Engineering, Chennai, Tamil Nadu 600119, India
    • M. Sowmya Vani School of Computing, Mohan Babu University, Tirupati, Andhra Pradesh 517102, India
    • S. Dhivya Department of Research and Innovation, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu 602105, India
    • Sivakrishna K Department of Computer Science and Engineering (AI-ML), MLR Institute of Technology, Hyderabad, Telangana 500043, India
    • R. Vijaya Kumar ‎ Reddy Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh 522502, ‎India
    https://doi.org/10.14419/y2zvbk18

    Received date: May 10, 2025

    Accepted date: June 18, 2025

    Published date: June 30, 2025

  • Cryptocurrency; Market Predictability; Artificial Intelligence; Bitcoin; Ethereum; Cardano

  • Abstract

    Despite its rapid expansion in the last ten years, the cryptocurrency market remains highly volatile and unpredictable, creating difficulties for ‎both investors and market participants. Using artificial intelligence (AI) and machine learning techniques, this project seeks to ‎build a predictive model for cryptocurrency prices, which will focus on Bitcoin, Ethereum, and Cardano to solve market challenges. The ‎project aims to develop an end-to-end solution covering all stages of data management, which begins with setting up a real-time data ETL ‎pipeline to collect information from the Binance and Yahoo Finance APIs. The system places data into a structured database that holds historical price information as well as technical indicators. Historical data serves as the basis for training and testing machine learning models to ‎forecast price trends, which enhances cryptocurrency trading and investment decisions‎.

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  • How to Cite

    Suganya, Y. . ., Sree, C. S. ., Kayalvili , S. ., Jebadurai , D. J. ., Vani, M. S. . ., Dhivya , S. ., K, S. ., & Reddy , R. V. K. ‎. (2025). Enhancing Cryptocurrency Market Predictability Using Artificial Intelligence: A Platform for Predicting Prices and Trends of ‎Bitcoin, Ethereum, and Cardano. International Journal of Basic and Applied Sciences, 14(2), 504-519. https://doi.org/10.14419/y2zvbk18