HeyDATA FOR YOUR NEXT IDEA
Good research.
Starts with data.
An A-share data entry point for quantitative research. Bring data into your workflow with familiar Python tools and APIs.
DEMO / EOD
Know your data
Query with a question
Bring it to your workflow
YOUR RESEARCH, CONNECTED
From the first query
to your next idea.
Discover datasets, select the fields you need and use the results in your own analysis. Explore each step through practical examples.
Dataset discovery
Understand the data before querying. Explore public descriptions and example fields.
Explore ↗Focused queries
Submit restricted read-only queries through the SDK to explore a specific question.
Explore ↗Export & download
Create Parquet or CSV export jobs to connect with your existing research tools.
Explore ↗FAMILIAR TOOLS. FOCUSED WORK.
Your tools.
Your next question.
The Python SDK and REST API share the same service interface. Start with a query and build your research workflow from there.
- Explicit API URL and key configuration
- Context-managed connections
- Query, export and download examples
import os
from heyquant import HeyQuantClient
with HeyQuantClient(
base_url=os.environ["HEYQUANT_BASE_URL"],
api_key=os.environ["HEYQUANT_API_KEY"],
) as client:
result = client.query(
"select trade_date, close "
"from bars_stock_daily "
"where symbol = '600519.SH' "
"order by trade_date desc limit 5"
)
print(result)Integration example · requires a valid service URL and access
START WITH A QUESTION
What will you explore next?
Explore the data and documentation. Get to know the HeyQuant early preview.
Start here ↗