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

Authors and Affiliations

  • 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

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Keywords:

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