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Journals / Sosyoekonomi / 2026 / Cilt: 33 Sayı: 63

The Effect of Cryptocurrency Ecosystem and Global Indicators on Bitcoin Price

Kripto Para Ekosistemi ve Küresel Göstergelerin Bitcoin Fiyatı Üzerindeki Etkisi

Ahmet Akusta(KONYA TEKNİK ÜNİVERSİTESİ)0000-0002-5160-3210
Mehmet Nuri Salur(NECMETTİN ERBAKAN ÜNİVERSİTESİ, SİYASAL BİLGİLER FAKÜLTESİ)0000-0003-1089-1372
Pages
115–142
Publication Date
2025-01-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings show the solid overall performance of the model, as indicated by an R2 score of 0.909.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This research aims to forecast the price of Bitcoin by identifying the factors that influence its price movements.
📊
Key Findings & Data:The study combines 396 variables, categorised into data concerning the cryptocurrency ecosystem and data about significant global indices.
💡
Conclusion & Impact:The findings show the solid overall performance of the model, as indicated by an R2 score of 0.909.
🔬Design:Modeling & Simulation
📍Scope:2022 Verileri
⚙️Variables:Bitcoin · Kripto Para · Fiyat Hareketliliği

Abstract

This research aims to forecast the price of Bitcoin by identifying the factors that influence its price movements. The study combines 396 variables, categorised into data concerning the cryptocurrency ecosystem and data about significant global indices. The analysis utilises a dataset spanning 90 days from October 2022 to December 2022. The dataset is divided into 85% for training and 15% for testing. Among the 18 machine learning methods, the model demonstrating the highest accuracy is selected. The findings show the solid overall performance of the model, as indicated by an R2 score of 0.909.

Özet

Bu araştırma, Bitcoin’in fiyatını etkileyen faktörleri belirleyerek Bitcoin'in fiyatını tahmin etmeyi amaçlamaktadır. Çalışma, kripto para ekosistemiyle ilgili veriler ve önemli küresel endekslerle ilgili veriler olmak üzere toplamda 396 değişkeni bir araya getirmektedir. Analiz, Ekim 2022’den Aralık 2022’ye kadar olan 90 günlük bir veri setini kullanmaktadır. Veri seti, %85’i eğitim ve %15’i test için ayrılmıştır. 18 makine öğrenme yöntemi arasından en yüksek doğruluğa sahip olan model seçilmiştir. Bulgular, modelin, 0.909 R2 skoruyla iyi bir performans sergilediğini göstermektedir.

🔖

Cite This Article

Akusta, A., Salur, M. N. (2025). The Effect of Cryptocurrency Ecosystem and Global Indicators on Bitcoin Price. Sosyoekonomi, Cilt: 33 Sayı: 63, 115–142. https://doi.org/10.17233/sosyoekonomi.2025.01.06

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