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

   Posting is the primary method of social interaction for investors on online platforms. Investors post primarily to share their perspectives, comment on others' posts, ask questions, and respond to inquiries. Research indicates that there are three main reasons why investors post on social platforms. First, investors post to engage in effective information exchange. Posting on social platforms encourages more investors to participate in discussions and responses, enabling them to gain valuable feedback. Second, investors may post to achieve self-actualization, as posters hope to attract followers by sharing engaging content and aspire to become opinion leaders, demonstrating their ability to expand influence through investment insights. Third, investors post to express and incite sentiments, especially when their investment performance is poor.

   The A-Real-time Post Updates Data of Individual Investors in Listed Companies on Xueqiu, launched by CnOpenData, primarily focuses on textual information content, intuitively presenting the details of each post. It includes multiple fields such as stock code, poster ID/nickname, posting source and time, number of likes(likes), number of shares(shares), and comment count(comments).

Time Range

As of December 31, 2025 (real-time updating)

Field Display

Sample Data

Data Update Frequency

Annual updates