Traders-Lab/preliminary

这是一个初步的金融时间序列数据集，包含多种金融工具的每日、每小时和每分钟的时间序列数据。数据采用Parquet文件格式存储，可用于开发、测试和反馈。每个金融工具的数据覆盖多年、至少两年和更短但更详细的近期时间段。数据集旨在支持模型理解和分析长期和短期金融模式。

This is a preliminary financial time series dataset containing daily, hourly, and minute-level time series data for various financial instruments. The data is stored in Parquet file format and is intended for development, testing, and feedback purposes. Each financial instruments data covers multiple years, at least two years, and a shorter but more detailed recent period. The dataset aims to support models in understanding and analyzing long-term and short-term financial patterns.