Bitcoin Price Prediction with Fuzzy Logic

Gulcihan Özdemir*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Due to cryptocurrencies' rising prices, like bitcoin, more and more people are becoming interested in them. Success in this business depends on a good price prediction. Several methods, including heuristic and machine-learning-based ones, can currently estimate the price with varied degrees of success. This study will use the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) model to predict the price's general direction over the next 10 days. Along with popular traders' indicators, the previous day's price will be used. The findings demonstrated that, despite errors, price direction predictions—an increase, a drop, or a stable price—are typically accurate.

Original languageEnglish
Pages (from-to)259-269
Number of pages11
JournalSakarya University Journal of Science
Volume28
Issue number2
DOIs
Publication statusPublished - 30 Apr 2024

Bibliographical note

Publisher Copyright:
© 2024, Sakarya University. All rights reserved.

Keywords

  • ANFIS
  • Bitcoin
  • Cryptocurrency
  • Price Prediction
  • Trend Analysis

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