Report
Blockchain Metrics and Indicators in Cryptocurrency Trading
| العنوان: | Blockchain Metrics and Indicators in Cryptocurrency Trading |
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| المؤلفون: | King, Juan C., Dale, Roberto, Amigó, José M. |
| المصدر: | Solitons & Fractals, 178, 114305 (2024) |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Quantitative Finance |
| مصطلحات موضوعية: | Quantitative Finance - Statistical Finance, Computer Science - Cryptography and Security |
| الوصف: | The objective of this paper is the construction of new indicators that can be useful to operate in the cryptocurrency market. These indicators are based on public data obtained from the blockchain network, specifically from the nodes that make up Bitcoin mining. Therefore, our analysis is unique to that network. The results obtained with numerical simulations of algorithmic trading and prediction via statistical models and Machine Learning demonstrate the importance of variables such as the hash rate, the difficulty of mining or the cost per transaction when it comes to trade Bitcoin assets or predict the direction of price. Variables obtained from the blockchain network will be called here blockchain metrics. The corresponding indicators (inspired by the "Hash Ribbon") perform well in locating buy signals. From our results, we conclude that such blockchain indicators allow obtaining information with a statistical advantage in the highly volatile cryptocurrency market. Comment: 26 pages; 14 figures |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1016/j.chaos.2023.114305 |
| URL الوصول: | http://arxiv.org/abs/2403.00770 |
| رقم الانضمام: | edsarx.2403.00770 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1016/j.chaos.2023.114305 |
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