STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Electronic Design Technology Original Research

A Random Forest Approach to Navigating Cryptocurrency Market Fluctuations

  1. Saurabh Parhad RMD Sinhgad School of Engineering
  2. Shreyas Dumbre RMD Sinhgad School of Engineering
  3. Priyanshu Agrawal RMD Sinhgad School of Engineering
  4. Prasad Mete RMD Sinhgad School of Engineering
  5. Vivek Mule RMD Sinhgad School of Engineering

Abstract

This study looks at the main elements influencing daily price variations to improve our analysis and prediction of Bitcoin values. Our forecasting algorithm is based on comprehensive data that we have collected and analyzed over the last few years. Because the Random Forest algorithm provides more accurate forecasts than previous techniques, that is why we chose it. Predicting the price swings of cryptocurrencies, like Bitcoin, can be challenging due to market volatility, despite their increasing popularity as investments due to their decentralized nature and high return potential. Our method assists in addressing these challenges by providing investors, both novice and seasoned, with improved instruments to predict price fluctuations and make more informed investment choices.

Keywords

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