One of the most prominent characteristics of the internet era is the big data generated by internet users, which often contains valuable information believed to provide added value to the financial and real sectors. Among various types of big data, posts expressing opinions or sharing experiences on social media platforms are frequently observed, particularly in the financial industry. Due to the high reliance of financial practitioners on information, posts on financial social media often significantly influence investors' financial decisions.

   Posting is the primary means of social interaction for investors on online platforms. Investors post primarily to share their views, comment on others' posts, raise questions, and respond to inquiries. Research indicates that there are three main reasons why investors post on social platforms. Firstly, investors post to engage in effective information exchange. Posting on social platforms encourages more investors to participate in discussions and responses, enabling them to receive valuable feedback. Secondly, investors may post to achieve self-actualization, as posters hope to attract followers by sharing engaging content and aspire to become opinion leaders, showcasing their investment capabilities to expand their influence. Thirdly, investors post to express and incite emotions, especially when their investment performance is poor.

   The Real-time Update Data of Individual Investors' Posts on Listed Companies from Xueqiu.com, launched by CnOpenData, primarily consists of textual information, visually presenting the content of each post. It includes multiple fields such as stock symbol (股票代码), poster ID/nickname (帖子发表者id/昵称), source and time of publication (发布来源及时间), number of likes (点赞量), number of shares (转发量), and number of comments (评论数).

Time Period

As of November 2025

Field Display

Sample Data

Data Update Frequency

Annual updates