Recently, the Blockchain-based cryptocurrency market witnessed enormous growth. Bitcoin, the leading cryptocurrency, reached all-time highs many times over the year leading to speculations to explain the trend in its growth. In this article, we study Bitcoin and Ethereum and explore features in their network that explain their price hikes. We gather data and analyze user and network activity that highly impact the price of these cryptocurrencies. We monitor the change in the activities over time and relate them to economic theories. We identify key network features that help us to determine the demand and supply dynamics in a cryptocurrency. Finally, we use machine learning methods to construct models that predict Bitcoin price. Based on our experimental results using two large datasets for validation, we confirm that our approach provides an accuracy of up to 99% for Bitcoin and Ethereum price prediction in both instances.

中文翻译：

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致力于表征基于区块链的加密货币以实现高精度的预测

最近，基于区块链的加密货币市场见证了巨大的增长。领先的加密货币比特币在一年中多次创下历史新高，导致人们猜测可以解释其增长趋势。在本文中，我们研究了比特币和以太坊，并探讨了其网络中解释其价格上涨的功能。我们收集数据并分析严重影响这些加密货币价格的用户和网络活动。我们会监控活动随时间的变化，并将其与经济理论联系起来。我们确定了关键的网络功能，这些功能可帮助我们确定加密货币的需求和供应动态。最后，我们使用机器学习方法来构建预测比特币价格的模型。根据我们使用两个大型数据集进行验证的实验结果，