Data underlying the master thesis: What drives cryptocurrency market dynamics? Analysing external variable influence on cryptocurrency prices

Dataset created for the Master Thesis "What drives cryptocurrency market dynamics? Analysing external variable influence on cryptocurrency prices" as part of the Management of Technologies Masters at the TPM Faculty, TUDelft. <br>The dataset contains the combined data for a range of variables for a number of crypto currencies. Each variable is in a column. Variables included for each crypto currency are: Price, Volume, Empirical wavelet transform, Google Trends. Additional variables are: Twitter (and Influencer) sentiment, Open status of some stock exchanges and Close price and volume for SP500, Oil and Gold.

本数据集为代尔夫特理工大学（TUDelft）技术与政策管理学院（TPM Faculty）技术管理硕士项目的硕士学位论文《是什么驱动加密货币市场动态？探析外部变量对加密货币价格的影响》所创建。该数据集整合了多款加密货币的多维度变量数据，各变量均以单列形式存储。针对每一款加密货币采集的变量包括：价格（Price）、成交量（Volume）、经验小波变换（Empirical wavelet transform）、谷歌趋势（Google Trends）。此外还包含以下额外变量：推特（Twitter）及网红情绪、部分证券交易所的开市状态，以及标普500（SP500）、原油与黄金的收盘价与成交量。