The CnOpenData Real-time Snowball News Updates Database for Listed Companies systematically aggregates news and announcements regarding listed companies from the Snowball platform. It covers multidimensional content including corporate significant events, market hotspots, investment research perspectives, and interactive commentary. The database retains the full text of news and announcements, particularly preserving original content of extensive articles, providing researchers and industry users with traceable and verifiable textual resources.
Data Uniqueness:
- Multi-source integrated information: Simultaneously encompasses news and announcements, integrating market media coverage with corporate self-disclosed information to establish a panoramic information perspective.
- Real-time update mechanism: Data refreshes instantaneously, enabling researchers and institutions to capture market news and announcements promptly, facilitating high-frequency research and event-driven analysis.
- Full-text retention: Specifically preserves lengthy articles to ensure research verifiability and feasibility for text mining.
Data Application Value:
- Capital market research: Scholars can investigate relationships between information disclosure and stock price volatility/investor behavior using timestamps and interaction metrics of announcements/news.
- Sentiment and dissemination analysis: User interaction volume and comment texts enable quantitative studies on investor sentiment diffusion pathways and market information propagation efficiency.
- Text mining and NLP: Comprehensive retention of long texts provides rich corpora for machine learning and AI research, supporting applications like information extraction, sentiment analysis, and topic modeling.
- Corporate and industry monitoring: Industry users can leverage real-time data to track corporate dynamics, industry trends, and investment opportunities, supporting investment research and decision-making.
The CnOpenData database balances real-time capability, content integrity, and interaction dimensions, serving both as a critical data source for market research/investment analysis and as high-quality raw textual material for academia. Whether for financial economics research, investment strategy development, or text mining/AI applications, this database delivers robust data support.
Time Coverage
As of September 2025 (real-time updates)
Field Display
Sample Data
Update Frequency
Real-time updates