- Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
- Volume:28 Issue:2
- Bitcoin Price Prediction with Fuzzy Logic
Bitcoin Price Prediction with Fuzzy Logic
Authors : Gulcihan Ozdemir
Pages : 259-269
Doi:10.16984/saufenbilder.1250302
View : 170 | Download : 176
Publication Date : 2024-04-30
Article Type : Research Paper
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.Keywords : Bitcoin, cryptocurrency, ANFIS, price prediction