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Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines.

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  • 1Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science & Technology, Jeju National University, Jeju 63243, Korea.

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This study introduces a novel system for cryptocurrency exchange rate prediction using the XGBoost machine learning algorithm and a blockchain framework. The system enhances prediction accuracy and ensures security and transparency in financial data analysis.

Keywords:
XGBoostblockchaincryptocurrencyexchange rate prediction

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Area of Science:

  • * Computational Finance
  • * Data Science
  • * Cryptography

Background:

  • * Growing popularity and unique characteristics of cryptocurrencies attract research interest.
  • * Non-linear and disordered nature of financial markets presents significant challenges for accurate exchange rate prediction.
  • * Existing research often relies on historical price data for cryptocurrency price forecasting.

Purpose of the Study:

  • * To develop a secure and transparent system for predicting cryptocurrency exchange rates.
  • * To evaluate the effectiveness of the XGBoost machine learning algorithm for this prediction task.
  • * To integrate a blockchain framework for enhanced system security and data integrity.

Main Methods:

  • * Application of the XGBoost machine learning algorithm for exchange rate prediction.
  • * Utilization of data mining techniques for comprehensive data analysis.
  • * Implementation of a blockchain framework to ensure system security and transparency.
  • * Employing cross-validation techniques during the training phase to optimize model performance.

Main Results:

  • * The XGBoost algorithm demonstrated superior prediction performance compared to other machine learning methods.
  • * The integrated blockchain framework provided a secure and transparent environment for the prediction system.
  • * Data mining techniques facilitated qualified analysis of cryptocurrency market data.

Conclusions:

  • * The proposed system, combining XGBoost and blockchain, offers a robust solution for accurate and secure cryptocurrency exchange rate prediction.
  • * The study highlights the potential of advanced machine learning and blockchain technology in financial forecasting.
  • * Further research can explore additional features and algorithms to refine prediction accuracy and system efficiency.