China ETF Data API

China ETF index mapping and AUM data

Start with ETF reference data: symbol identifies the ETF, while index_code and index_name identify its tracked index. The separate tracking-indices endpoint describes the index itself; it is not a holdings list.

For fund size, query shares outstanding and fund size for the same ETF. This endpoint requires PRO or above. total_size is in 10,000 CNY, and total_share is in 10,000 fund units. Multiply by 10,000 to convert to CNY or units; neither field is trading turnover.

Python: join mapping and a dated fund-size snapshot

import os
import quantcoda as qc

qc.set_token(os.environ["QUANTCODA_TOKEN"])
mapping = qc.basic(symbol="510300.SH")
sizes = qc.share_size(symbol="510300.SH", trade_date="20260105")

if mapping.empty or sizes.empty:
    print("No matching data; check the symbol, date and coverage.")
else:
    result = sizes[["symbol", "trade_date", "total_size", "total_share"]].merge(
        mapping[["symbol", "index_code", "index_name"]],
        on="symbol", how="left", validate="many_to_one"
    )
    result["aum_cny"] = result["total_size"] * 10000
    result["fund_units"] = result["total_share"] * 10000
    print(result.to_string(index=False))

trade_date is the fund-size observation date (YYYYMMDD), not the download time. The date above is an example, not a guarantee of an available row. Missing values remain missing; a missing row is not zero AUM. If the mapping is not unique, the example raises a merge error so you can inspect it instead of silently duplicating fund size.

The reference mapping has no historical effective-date filter. Joining it to an older size observation does not establish a point-in-time mapping. Publication time, complete historical coverage and revision timing are not guaranteed here; do not assume today's reference data was known on a past backtest date. See data methodology before using the result in a backtest.

Use the same methods with the Python SDK or discover their tools on the hosted MCP server. For statement-based research, see the China stock financial data API; check API pricing and request limits before running a larger universe.

ETF data services