Comprised of seasoned FinTech experts with deep industry knowledge and extensive experience, we specialize in transforming customized projects into reusable, scalable standardized products, delivering the best financial technology experience to our clients.
Comprehensive financial data services to empower investment decisions and quantitative research
Sourced from government bureaus, ministries, and third-party professional institutions. Authoritative, comprehensive, and widely covered.
| Industry | Key Indicators | Data Source |
|---|---|---|
| Real Estate | Average land transaction prices in 100 major cities, commercial housing sales area, land transaction prices, inventory-sales ratio, second-hand housing price index, Central Plains Index, etc. | SASAC, Ministry of Land and Resources, National Bureau of Statistics |
| Textile & Apparel | Haining Leather Index, Dieshiqiao Home Textile Index, Keqiao Textile Index, Shengze Silk Index, textile spot commodity prices, etc. | Third-party Professional Institutions |
| Steel | Social inventory, port inventory, city inventory, ships arriving at port, international shipments, international departures, etc. | China Iron and Steel Industry Association |
| Transportation | Truck freight flow index, highway smoothness by province, freight flow index, World Container Freight Index, etc. | China Federation of Logistics & Purchasing |
| Media & Entertainment | Movies in release, box office revenue, movie screenings, box office data, audience attendance, etc. | China Film Data Information Network |
| Others | Covering 30+ industries, continuously expanding... | Multi-source Data Integration |
High Authority: Data primarily sourced from the National Bureau of Statistics, government ministries, and third-party professional institutions providing economic operation data.
Covering more than a dozen mainstream recruitment channels including 51job, BOSS Zhipin, Zhaopin, and Liepin. Collecting 2M+ samples monthly, covering 91.5% of all A-share listed companies.
Data Samples
A-Share Companies
Industry Coverage
Position Coverage
| Data Source Type | Content Collected | Application Scenario |
|---|---|---|
| Public Recruitment Info | Job description acquisition, mid-to-low level position data | Basic position compensation analysis |
| Listed Company Annual Reports | Executive compensation data | Executive compensation research |
| Third-party Offer Data | Mid-to-high level position data | Mid-to-high level position benchmarking |
| Survey Data | Supplementary validation data | Cross-validation of data |
| Platform Anonymized Data | Massive, multi-dimensional data | Large sample statistical analysis |
| Partner User Authorization | Precise compensation data | Data quality improvement |
51job, BOSS Zhipin, Zhaopin, Liepin, etc.
Position, industry, region, compensation standardization
Knowledge graph-based classification matching
Proofreading, deduplication, outlier removal
Forming standardized data tables
Covering A-share listed company announcements, including equity incentives, employee stock ownership, and buybacks with 2M+ detailed records, providing full lifecycle tracking.
Equity Incentive
Employee Stock Ownership
Stock Buyback
Detailed Data
Deeply mining text data value to provide comprehensive financial information support
Comprehensive coverage of Shanghai and Shenzhen listed company announcements with standardized classification and structured parsing.
Massive securities research report data, covering 95%+ of analysts, empowering investment decisions.
Massive domestic and international high-quality investment meeting minutes, deeply transcribed and analyzed.
Through deep data mining and analysis, providing precise decision support across industries
Forecast macroeconomic trends and construct industry investment strategies to capture market pulse.
Discover corporate investment value and unearth high-value market information for precise stock selection.
Enhance model professional performance in the financial domain, empowering intelligent robo-advisory systems.
Leverage data for in-depth research report writing, improving research quality and efficiency.
Help executives, investors, and analysts make scientific, data-driven decisions.
Continuously exploring data value and leading new trends in financial technology.
Gathering FinTech elites to build world-class data services
SmartTide Technology, founded in 2015 and headquartered in Shanghai Lujiazui Financial Center, possesses a professional team composed of senior FinTech experts, data scientists, and software engineers.
Team members average over 10 years of experience in the financial industry, having served renowned domestic and international financial institutions, with profound understanding of the value and application of financial data.
Establishing long-term cooperative relationships with numerous renowned financial institutions