CnOpenData's Snowball.com Listed Company Individual Investor Attention and Real/Simulated Trading Data comprehensively records investors' posts and interaction information in stock trading sections, covering fields such as user nickname (用户昵称), post content (发帖内容), source (来源), stock code and name (股票代码与名称), posting time (发布时间), interaction metrics (likes, forwards, views, replies; 点赞、转发、查看、回复), external links (外部链接), and mapped related stocks (相关股票映射). This data provides a rich information foundation for studying market sentiment, investor behavior, and listed company dynamics, offering significant academic and commercial value.
Distinctive Features:
- Investor Behavior Data Focused on Trading Scenarios: Unlike announcements or news-based information, this database concentrates on real-time discussions in trading sections, more directly reflecting the sentiments and perspectives underlying market trading behaviors.
- Quantitative Records of Interaction Behaviors: Metrics across multiple dimensions—including likes, replies, forwards, and views—are systematically recorded, providing data support for constructing investor attention and information diffusion models.
- Precise Company-Level Mapping: Each content entry is linked to specific securities codes, enabling cross-temporal and cross-company comparative analyses and facilitating research on the relationship between investor behavior and company characteristics.
Data Application Value:
- Investor Sentiment Research: Combining natural language processing with quantitative interaction metrics allows for the construction of investor sentiment indices to validate correlations between sentiment and stock prices/trading volumes.
- Information Diffusion and Market Microstructure Analysis: Interaction-based metrics enable exploration of information propagation paths among investors and their potential impact on market fluctuations.
- Company Sentiment and Risk Monitoring: Provides listed companies and research institutions with investor perspective-based sentiment data, aiding in identifying potential risk signals and shifts in market expectations.
CnOpenData's Snowball.com Listed Company Individual Investor Attention and Real/Simulated Trading Data serves as a high-value micro-level data source for investigating investor behavior, market sentiment, and corporate public opinion. Its unique data context and interaction dimensions make it widely applicable in fields such as finance, behavioral economics, and risk management.
Time Range
As of December 31, 2025 (continuously updated)
Field Display
Sample Data
Data Update Frequency
Annual updates