China A-Share Securities Lending Data
Research-ready securities lending data for China A-share market analysis.
QuantDatalytics provides structured daily securities lending and borrowing records for China A-share equities, designed for market flow analysis, short interest research, and quantitative workflows.
Dataset Overview
Structured securities lending data for China A-share research.
QuantDatalytics standardizes securities lending and borrowing activity into clean, research-ready records for market analysis, quantitative modeling, and alternative data workflows.
Market Coverage
China A-share equities, including securities lending and borrowing activity across listed securities.
Update Frequency
Daily refresh cycles as new records become available.
Historical Coverage
Initial historical coverage, expanding daily.
Delivery Format
CSV-ready export for analysis workflows, with API access planned for future release.
Data Fields
Clean, standardized, research-ready fields.
The dataset is designed for direct integration into quantitative models, databases, and research workflows.
Processing & Quality
Data processing designed for research workflows.
QuantDatalytics processes raw securities lending and borrowing records into a consistent schema suitable for time-series analysis, database ingestion, and quantitative research.
Standardized ticker formatting
Identifier formatting is normalized to support analysis across files and workflows.
Brokerage name normalization
Participant names are standardized to improve consistency in research datasets.
Date consistency checks
Trading dates and record timestamps are reviewed for completeness and consistency.
Duplicate handling
Repeated or overlapping records are filtered to preserve usable time-series structure.
Structured time-series formatting
Records are organized in a manner suitable for database ingestion and modeling workflows.
Source and processing metadata
Each file includes metadata describing source context and processing steps.
Data Frequency
Daily updated market data.
Reliable daily records support time-series research, market monitoring, and quantitative analysis.
Up-to-date visibility
Daily updates help preserve the latest available securities lending and borrowing signals.
High-frequency analysis
Structured daily records support factor testing, validation, and market research.
Consistent structure
Uniform formatting supports repeatable ingestion, clean time-series modeling, and database workflows.
Use Cases
Designed for institutional research and analytics.
Borrowing demand analysis
Track borrowing activity across China A-share securities over time.
Short interest research
Study lending and borrowing behavior as a proxy for short-demand pressure.
Brokerage-level flow analysis
Analyze brokerage and institution-level participation in lending activity.
Quantitative feature engineering
Build time-series features for factor research and strategy development.
Market microstructure research
Support research into liquidity, borrowing constraints, and market behavior.
Fintech integration
Feed CSV exports into analytics stacks, dashboards, and data engineering pipelines.
Access
Request sample data.
Sample CSV files and a data dictionary are available upon request for evaluation, research, and partnership discussions. Typical response time is 1–2 business days.
Contact our team for sample datasets, licensing requests, or data partnerships.
Typical response time: 1–2 business days.
Contact
Get in touch.
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