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list_universe API

Shadow Ingest / API Reference / General-Purpose
list_universe(
    *,
    date,
    market: str = "cn-stock",
) -> list[str]

Returns valid tradable stock codes for a supported market and date.

This is the main helper to use when you want valid stock_codes for the public data APIs.

Before You Run This Example

Parameters

Parameter Required Default Allowed values / shape Meaning
date yes YYYY-MM-DD, YYYYMMDD, datetime.date, or another date-like object Which trading date to evaluate
market no "cn-stock" currently only "cn-stock" Which market universe to query

Parameter Notes

  • date is required; there is no implicit "latest" fallback
  • current supported market: cn-stock
  • for cn-stock, the return values are always stock codes such as 000001.XSHE
  • if the backing dataset exposes order_book_id instead of stock_code, the SDK still normalizes the public result to stock_code

Accepted date forms:

  • YYYY-MM-DD string
  • YYYYMMDD integer or string
  • datetime.date
  • other date-like objects with year, month, and day

Why date Is Explicit

Trading calendars and universe data can drift independently across environments.

Requiring an explicit date keeps the helper predictable and makes downstream workflows reproducible.

Copy-Paste Example

import shadow_ingest as si

stock_codes = si.list_universe(market="cn-stock", date="2024-01-03")
stock_codes_from_int = si.list_universe(date=20240103)

print(stock_codes[:5])
print(stock_codes_from_int[:5])
print(len(stock_codes))

Example Output

[
  "000001.XSHE",
  "000002.XSHE",
  "000004.XSHE",
  "000006.XSHE",
  "000007.XSHE",
]
[
  "000001.XSHE",
  "000002.XSHE",
  "000004.XSHE",
  "000006.XSHE",
  "000007.XSHE",
]
5000

Typical Follow-Up

A common pattern is to pass the result directly into another SDK API:

import shadow_ingest as si

trade_date = "2024-01-03"
stock_codes = si.list_universe(date=trade_date)
industry_df = si.get_industry_mapping(
    stock_codes=stock_codes[:50],
    standard="sws",
    trade_date=trade_date,
)