Market, company and capital context
One SDK covers stocks, ETFs, indices, financials, valuation, money flow, chip distribution, realtime quotes and financial news.
Query China stock data in three steps
Install the SDK, set your QuantCoda API key and query by security symbol and date. Results arrive as pandas DataFrames ready for validation, transformation and research.
# Python 3.9+ pip install quantcoda import quantcoda as qc qc.set_token("qc_live_your_key") df = qc.daily(symbol="600519.SH", start_date="20260101") print(df.head())
A Python API shaped for quantitative research
Continue directly in your workflow
Tabular responses become DataFrames for filtering, joins, statistics, visualization and research pipelines.
Aligned with the REST API
Python methods retain public symbol, date and filter parameters instead of introducing a second naming model.
Inspect available methods
Use qc.endpoints() to list endpoints, then check field-level request and response definitions in the documentation.
Choose your next step
Explore the China A-Share Market Data API coverage or go directly to the API documentation. For AI-led workflows, the same API key connects to the China Stock MCP Server.