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 to financial and real-sector applications. Among diverse big data sources, posts expressing opinions or sharing experiences on social media platforms are particularly notable. In the financial sector, where practitioners heavily rely on information, social media posts 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 typically involve sharing perspectives, commenting on others' posts, raising questions, and responding to inquiries. Research indicates three primary motivations behind investor postings on social platforms. First, investors post to facilitate effective information exchange. Active participation in discussions through posts enables them to obtain valuable feedback. Second, posting may serve self-actualization purposes, as posters aim to attract followers by sharing compelling content and establish themselves as opinion leaders to demonstrate their investment expertise. Third, investors post to express and amplify emotions, particularly when experiencing poor investment performance.
The Snowball Investor Posting and Comment Data for A-Share listed companies, developed by CnOpenData, focuses on textual content to directly showcase 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), post source and time (发布来源及时间), likes count (点赞量), shares count (转发量), and comments count (评论数).
Time Coverage
As of May 2024
Field Display
Sample Data
Data Update Frequency
Annual update