One of the most prominent features of the internet era is the big data generated by internet users, which is widely believed to provide added value for both financial and real sectors. Among diverse types of big data, posts expressing opinions or sharing experiences on social media platforms are frequently observed, particularly in the financial industry. Given the high dependence of financial practitioners on information, posts on financial social media often exert significant influence on investors' financial decision-making.

   Posting serves as the primary mode of social interaction for investors on online platforms. Investor posts primarily involve sharing personal perspectives, commenting on others' posts, raising questions, and responding to inquiries. Research indicates three main motivations for investors to post on social platforms. First, investors post to engage in effective information exchange. Posting encourages broader participation in discussions and responses, enabling them to obtain valuable feedback. Second, investors may post to achieve self-actualization, as posters aim to attract followers by sharing compelling content and aspire to become opinion leaders, demonstrating their investment capabilities to expand influence. Third, investors post to express and incite emotions, particularly when their investment performance underperforms.

   The Snowball Investor Post and Comment Data of U.S. Listed Companies launched by CnOpenData primarily focuses on textual content, visually presenting post details. It includes multiple fields such as stock code(股票代码), poster ID/nickname(帖子发表者id/昵称), publication source and time(发布来源及时间), likes(点赞量), shares(转发量), and comment count(评论数).

Time Coverage

As of May 2024

Field Display

Sample Data

Data Update Frequency

Annual updates