Google Stock

该数据集包含了谷歌公司在2004年至2019年期间的历史日股票数据，数据连续但缺乏周期性，且特征之间存在相关性。这些特征包括交易量、日高和日低、开盘价、收盘价以及调整后的收盘值等变量。此外，该数据集被用于评估AVATAR框架在生成真实股票价格时间序列方面的有效性。任务是对时间序列数据进行生成和评估。

This dataset comprises historical daily stock data of Google spanning from 2004 to 2019. The data is continuous yet lacks periodicity, and correlations exist between its features. These features include variables such as trading volume, daily high and low prices, opening price, closing price, and adjusted closing price. Additionally, this dataset is utilized to assess the effectiveness of the AVATAR framework in generating realistic stock price time series. The core task involves the generation and evaluation of such time series data.