Datasets:

adanosorg
/

free-global-stock-ticker-database

ticker large_stringlengths 1 11	alias large_stringlengths 3 100	alias_type large_stringclasses 3 values
000001	CNE000000040	isin
000001	ping an bank	name
000002	CNE0000000T2	isin
000002	china vanke	name
000004	CNE0000000Y2	isin
000004	shenzhen cau technology	name
000006	CNE000000164	isin
000006	shenzhen zhenye group	name
000006	shenzhen zhenye	name
000007	CNE0000000P0	isin
000007	shenzhen zero-seven	name
000008	CNE0000001C6	isin
000008	china high-speed railway technology	name
000009	CNE000000222	isin
000009	china baoan group	name
000009	china baoan	name
000010	CNE000000156	isin
000010	shenzhen ecobeauty	name
000011	CNE000000248	isin
000012	CNE0000002R2	isin
000014	CNE0000003G3	isin
000014	shahe industry	name
000016	CNE0000002T8	isin
000017	CNE0000002Q4	isin
000019	CNE000000354	isin
000021	CNE000000FK4	isin
000021	shenzhen kaifa technology	name
000025	CNE0000008N8	isin
000026	CNE000000875	isin
000027	CNE000000933	isin
000027	shenzhen energy group	name
000027	shenzhen energy	name
000028	CNE0000009N6	isin
000029	CNE0000009X5	isin
000029	shenzhen special economic zone real estate & properties group	name
000030	CNE0000009Z0	isin
000030	fawer automotive parts	name
000031	CNE000000BJ5	isin
000031	grandjoy holdings group	name
000031	grandjoy	name
000032	CNE000000BK3	isin
000032	shenzhen sed industry	name
000034	CNE000000DQ6	isin
000034	digital china group	name
000035	CNE000000FN8	isin
000035	china tianying	name
000036	CNE000000G13	isin
000036	china union holdings	name
000036	china union	name
000037	CNE000000G62	isin
000039	CNE000000644	isin
000039	china international marine containers group	name
000039	china international marine containers	name
000040	KR7000040006	isin
000040	kr motors	name
000042	CNE000000H53	isin
000042	shenzhen centralcon investment holding	name
000042	shenzhen centralcon investment	name
000045	CNE000000H61	isin
000048	CNE000000HD5	isin
000048	shenzhen kondarl group	name
000048	shenzhen kondarl	name
000049	CNE0000000F1	isin
000049	shenzhen desay battery technology	name
000055	CNE000000JY7	isin
000056	CNE000000297	isin
000058	CNE000000NR3	isin
000059	CNE000000NY9	isin
000059	north huajin chemical industries	name
000060	CNE000000FS7	isin
000060	shenzhen zhongjin lingnan nonfemet	name
000061	CNE0000008V1	isin
000061	shenzhen agricultural products	name
000062	CNE0000008R9	isin
000062	shenzhen huaqiang industry	name
000063	CNE000000TK5	isin
000065	CNE000000VZ9	isin
000065	norinco international cooperation	name
000066	CNE000000RL7	isin
000066	china greatwall computer shenzhen	name
000068	CNE000000QV8	isin
000068	shenzhen huakong seg	name
000069	CNE000000SS0	isin
000069	shenzhen overseas chinese town	name
000078	CNE000000X95	isin
000078	shenzhen neptunus bioengineering	name
000080	KR7000080002	isin
000080	hite jinro	name
000088	CNE000000SF7	isin
000088	shenzhen yan tian port holdings	name
000088	shenzhen yan tian port	name
000089	CNE000000VK1	isin
000089	shenzhen airport	name
000090	CNE000000F89	isin
000090	shenzhen tagen group	name
000090	shenzhen tagen	name
000096	CNE000001410	isin
000096	shenzhen guangju energy	name
000099	CNE0000013Q1	isin
000099	citic offshore helicopter	name

End of preview. Expand in Data Studio

Free Global Stock Ticker Database

Global stocks and ETFs with listings, identifiers, aliases, and reviewed symbol changes. Maintained by Adanos Software GmbH for ticker detection, identifier resolution, and market-data workflows.

Source and project page: https://adanos.org

GitHub repository: https://github.com/adanos-software/free-ticker-database

Dataset package: adanosorg/free-global-stock-ticker-database

Version: 3.15.0

File	Rows	Description
`tickers.csv`	54,037	Canonical primary security export, one row per stock or ETF.
`listings.csv`	62,539	Venue-level listing export keyed by listing_key, including cross-listings.
`aliases.csv`	103,580	Alias, name, and identifier lookup rows for ticker resolution.
`identifiers.csv`	54,037	Compact ISIN and WKN lookup for primary ticker rows.
`cross_listings.csv`	14,875	Same-ISIN listing groups across exchanges.
`instrument_scopes.csv`	62,539	Core versus extended listing scope and primary-listing mapping.
`listing_events.csv`	30,957	Observed listing lifecycle events from the listing history workflow.
`symbol_changes.csv`	238	Reviewed symbol-change feed with source links and review flags.

How to Load

from datasets import load_dataset

tickers = load_dataset("adanosorg/free-global-stock-ticker-database", "tickers", split="train")
listings = load_dataset("adanosorg/free-global-stock-ticker-database", "listings", split="train")
aliases = load_dataset("adanosorg/free-global-stock-ticker-database", "aliases", split="train")

Each file is exposed as its own config (tickers, listings, aliases, identifiers, cross_listings, instrument_scopes, listing_events, symbol_changes). Parquet variants are used by the loader; CSV variants remain available for direct download.

Recommended Use

Use tickers.csv or tickers.parquet for one canonical row per security.
Use listings.csv or listings.parquet when exchange-level identity matters.
Use listing_key rather than ticker for venue-level joins.
Use aliases.csv for ticker, name, ISIN, WKN, and symbol lookup workflows.
Use symbol_changes.csv for reviewed ticker-change monitoring.

Citation

If this dataset is useful in research, products, or notebooks, cite the dataset and link back to:

Adanos Software GmbH. Free Global Stock Ticker Database. https://adanos.org

Provenance

The dataset is rebuilt by Adanos Software GmbH from official exchange/reference inputs and reviewed enrichment sources. Official inputs include exchange masterfiles and reference directories; reviewed enrichment inputs are reconciled into the public exports only after validation gates for identifiers, listing keys, aliases, and coverage reports. Project and source documentation: https://adanos.org and https://github.com/adanos-software/free-ticker-database.

License

The source repository is licensed under the MIT License. See LICENSE.

Limitations

This is reference data, not investment advice. Coverage and metadata quality vary by market. Rows are rebuilt from official exchange/reference inputs plus reviewed enrichment sources, and users should validate suitability for their own downstream use.

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