Makine Öğrenimi Algoritması ile Monero Fiyatlarının Tahmin Edilmesi

Year 2021, , 651 - 663, 01.12.2021

Zeliha Can Ergün , Busra Kutlu Karabıyık

https://doi.org/10.17153/oguiibf.932839

Abstract

Literatürde birçok araştırmacının farklı kripto para birimlerinin değerlerini tahmin etmeye çalıştıkları gözlemlenmiş, fakat Monero fiyat eğilimlerini analiz eden çok az çalışmaya rastlanmıştır. Monero gizlilik özellikleri açısından kripto paralar arasında ilk sırada yer almakta ve talebinin gelecekte artacağı beklenmektedir. Bu makale, Monero fiyatlarını ve trendlerini tahmin etmek için PATSOS modelini kullanan ilk çalışma olarak sınıflandırılabilir. Bulgulara göre PATSOS modeli, çok düşük bir hata oranıyla gelecekteki Monero fiyatlarını doğru bir şekilde tahmin etmektedir. Ayrıca, yatırımcılar PATSOS mekanizması tarafından üretilen tutarlı "al" ve "sat" sinyallerini kullanarak piyasa oynaklığına direnebilir ve büyük kayıpları önleyebilirler.

Keywords

Monero, Fiyat, Trend, ANFIS, PATSOS, Kripto paralar

Forecasting Monero Prices with a Machine Learning Algorithm

Abstract

Many researchers have attempted to forecast the values of different cryptocurrencies, but few studies analyzed the Monero price trends. Monero ranks first in terms of privacy features, and its demand is expected to grow in the future. This paper can be classified as the first to use the PATSOS model to forecast Monero prices and trends. According to the findings, the PATSOS model accurately forecasted future Monero prices with a very low error rate. Moreover, investors can withstand market volatility and avoid large losses by using the consistent "buy" and "sell" signals produced by the PATSOS mechanism.

Keywords

Monero, Price, Trend, ANFIS, PATSOS, Cryptocurrencies

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