CnOpenData's Snowball.com Individual Investor Attention and Real/Simulated Trading Data comprehensively record investors' posts and interaction information in stock trading sections. It covers fields such as user nickname, post content, source, stock code and name, posting time, interaction metrics (likes, shares, views, replies), external links, and related stock mappings. These data provide a rich information foundation for studying market sentiment, investor behavior, and listed company dynamics, holding significant academic and commercial value.
Data Uniqueness:
- Investor Behavior Data Focused on Trading Scenarios: Unlike announcements or news-based information, this database concentrates on real-time discussions in trading sections, offering more direct insights into the sentiment and perspectives behind market trading behaviors.
- Quantitative Recording of Interaction Behaviors: The system collects multi-dimensional metrics such as likes, replies, shares, and views, providing data support for constructing investor attention and information diffusion models.
- Company-Level Precise Mapping: Each piece of content is bound to specific securities codes, enabling cross-temporal and cross-company comparative analysis, making it suitable for research on the correlation between investor behavior and company characteristics.
Data Application Value:
- Investor Sentiment Research: Combining natural language processing with quantitative interaction metrics, investor sentiment indices can be constructed to validate correlations between sentiment and stock prices/trading volumes.
- Information Diffusion and Market Microstructure Analysis: Based on interaction behaviors, explore the propagation paths of information among investor groups and their potential impact on market fluctuations.
- Company Public Sentiment and Risk Monitoring: Provide listed companies and research institutions with public sentiment data from an investor perspective, assisting in identifying potential risk signals and changes in market expectations.
CnOpenData's Snowball.com Individual Investor Attention and Real/Simulated Trading Data provides a high-value micro-level data source for studying investor behavior, market sentiment, and company public sentiment. Its unique data scenarios and interaction dimensions enable wide applications in fields such as finance, behavioral economics, and risk management.
Data Scale
Time Period
As of December 31, 2025 (real-time updates in progress)
Field Display
Sample Data
Data Update Frequency
Annual updates