China Market API¶

Stocks¶

get_cn_stock_daily¶

Get daily OHLCV data for China A-shares.

fv.get_cn_stock_daily(
    symbol: str,
    start_date: str | None = None,
    end_date: str | None = None,
    source: str | None = None
) -> pd.DataFrame

Parameters:

Name	Type	Description
`symbol`	str	Stock code (e.g., "000001")
`start_date`	str	Start date (YYYY-MM-DD)
`end_date`	str	End date (YYYY-MM-DD)
`source`	str	Force specific source

Returns: DataFrame with columns: date, open, high, low, close, volume, amount

get_cn_stock_quote¶

Get real-time quotes for China A-shares.

fv.get_cn_stock_quote(
    symbols: str | list[str]
) -> pd.DataFrame

Parameters:

Name	Type	Description
`symbols`	str \| list	Stock code(s)

Returns: DataFrame with columns: symbol, name, price, change, change_pct, open, high, low, volume, amount

list_cn_stock_symbols¶

List China A-share stock symbols.

fv.list_cn_stock_symbols(
    market: str | None = None
) -> pd.DataFrame

Parameters:

Name	Type	Description
`market`	str	Market filter: "main", "chinext", "star", or None for all

search_cn_stock¶

Search stocks by keyword.

fv.search_cn_stock(keyword: str) -> pd.DataFrame

Indices¶

get_cn_index_daily¶

fv.get_cn_index_daily(
    symbol: str,
    start_date: str | None = None,
    end_date: str | None = None
) -> pd.DataFrame

get_cn_index_quote¶

fv.get_cn_index_quote(symbols: str | list[str]) -> pd.DataFrame

list_cn_major_indices¶

fv.list_cn_major_indices() -> pd.DataFrame

Funds¶

get_cn_fund_nav¶

fv.get_cn_fund_nav(
    symbol: str,
    start_date: str | None = None,
    end_date: str | None = None
) -> pd.DataFrame

Returns: DataFrame with columns: date, nav, acc_nav, change_pct

get_cn_fund_quote¶

fv.get_cn_fund_quote(symbols: str | list[str]) -> pd.DataFrame

get_cn_fund_info¶

fv.get_cn_fund_info(symbol: str) -> dict

Returns: Dict with keys: name, type, manager, company, size, inception_date

list_cn_fund_symbols¶

fv.list_cn_fund_symbols(fund_type: str | None = None) -> pd.DataFrame

Parameters:

Name	Type	Description
`fund_type`	str	Filter: "stock", "bond", "money", "index", or None

search_cn_fund¶

fv.search_cn_fund(keyword: str) -> pd.DataFrame