EN
TR
PREDICTION OF BITCOIN PRICE WITH STOCK TO FLOW MODEL AND FACEBOOK PROPHET ALGORITHM / Stok Akış Modeli Ve Facebook Prophet Algoritması İle Bitcoin Fiyatı Tahmini
Abstract
Whether money is solid or not can be understood by looking at two values. The first is the stock status indicating the supply and the second is the flow value indicating the unit to be produced in the ongoing process. The ratio between stock and flow can be expressed as an indicator of the strength of the good defined as money. Bitcoin is a cryptocurrency whose total supply is limited to 21,000,000 units. The limited supply is considered as a factor that will increase its price. The Stock Flow Model can also be used for assets with limited supply. In this study, Bitcoin price prediction is made using the Facebook Prophet algorithm which is one of the time series analysis models. Bitcoin data between 2013-2020 were used, the Stock to Flow Rate obtained from the Stock Flow Model was also added to the model, unlike other studies. According to the results of the study supported by the accuracy measures, it was concluded that the performance of the model increased when the Facebook Prophet algorithm was used by including the Stock Flow Ratio in the model.
Keywords
Teşekkür
Bu çalışmada ifade edilen görüşler yazarlara ait olup, çalıştıkları kurumların görüşleri olarak yorumlanmamalıdır. Stok Akış Modeli uygulamalarına ilham veren PlanB (@100trillionUSD) ile veri setinin elde edilmesinde yardımcı olan Rob Wolfram’a (@hamal03) saygılar sunarız.
Kaynakça
- Akdağ, M. (2019). Kripto Paralizasyon ve Türkiye Ekonomisi için bir Uygulama. (Yayınlanmamış Doktora Tezi). Atatürk Üniversitesi Sosyal Bilimler Enstitüsü. Erzurum.
- Ali, M., & Shatabda, S. (2020). A Data Selection Methodology to Train Linear Regression Model to Predict Bitcoin Price. In 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT) (pp. 330-335). IEEE.
- Ammous, S. (2018). The Bitcoin Standard: The Decentralized Alternative To Central Banking. John Wiley & Sons.
- Awoke, T., Rout, M., Mohanty, L., & Satapathy, S. C. (2021). Bitcoin Price Prediction And Analysis Using Deep Learning Models. In Communication Software and Networks (pp. 631-640). Springer, Singapore.
- Baek, C., & Elbeck, M. (2015). Bitcoins As An Investment Or Speculative Vehicle? A First Look. Applied Economics Letters, 22(1), 30-34.
- Bouoiyour, J., & Selmi, R. (2015). What does Bitcoin look like?. Annals of Economics and Finance, 16(2), 449-492.
- Böhme, R., Christin, N., Edelman, B., & Moore, T. (2015). Bitcoin: Economics, Technology, And Governance. Journal Of Economic Perspectives, 29(2), 213-38.
- Buchholz, M., Delaney, J., Warren, J., & Parker, J. (2012). Bits And Bets, Information, Price Volatility, And Demand For Bitcoin. Economics, 312, 2-48.
Ayrıntılar
Birincil Dil
Türkçe
Konular
Ekonomi
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Nisan 2021
Gönderilme Tarihi
12 Şubat 2021
Kabul Tarihi
29 Mart 2021
Yayımlandığı Sayı
Yıl 1970 Cilt: 5 Sayı: 1
APA
Akdağ, M., & Bozma, G. (2021). STOK AKIŞ MODELİ VE FACEBOOK PROPHET ALGORİTMASI İLE BİTCOİN FİYATI TAHMİNİ / Prediction of Bitcoin Price with Stock to Flow Model and Facebook Prophet Algorithm. Uluslararası Ekonomi İşletme ve Politika Dergisi, 5(1), 16-30. https://doi.org/10.29216/ueip.878925
Cited By
A New Algorithmic Trading Approach Based on Ensemble Learning and Candlestick Pattern Recognition in Financial Assets
Turkish Journal of Science and Technology
https://doi.org/10.55525/tjst.1124256