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.
Primary Language | English |
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Subjects | Software Engineering (Other) |
Journal Section | Research Articles |
Authors | |
Early Pub Date | April 22, 2024 |
Publication Date | April 30, 2024 |
Submission Date | February 12, 2023 |
Acceptance Date | December 28, 2023 |
Published in Issue | Year 2024 Volume: 28 Issue: 2 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.