adanosorg/free-global-stock-ticker-database

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: 3.43.0

Contents

File	Rows	Description
tickers.csv	65,543	Legacy/global-unique compatibility export, one row per exported ticker.
core_listings.csv	63,459	Collision-safe canonical core security export keyed by listing_key, one primary listing row per security.
listings.csv	97,347	Venue-level listing export keyed by listing_key, including cross-listings.
aliases.csv	128,614	Alias, name, and identifier lookup rows for ticker resolution.
core_aliases.csv	125,478	Structured alias and identifier lookup rows keyed by listing_key for the collision-safe core export.
identifiers.csv	65,543	Compact ISIN and WKN lookup for primary ticker rows.
cross_listings.csv	42,778	Same-ISIN listing groups across exchanges.
instrument_scopes.csv	97,347	Core versus extended listing scope and primary-listing mapping.
listing_events.csv	95,596	Observed listing lifecycle events from the listing history workflow.
symbol_changes.csv	360	Reviewed symbol-change feed with source links and review flags.

How to Load

from datasets import load_dataset

core = load_dataset("adanosorg/free-global-stock-ticker-database", "core_listings", split="train")
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 (core_listings, 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 core_listings.csv or core_listings.parquet for the collision-safe canonical security export.
• Use tickers.csv or tickers.parquet only for legacy one-row-per-global-ticker compatibility.
• Use listings.csv or listings.parquet when exchange-level identity matters.
• Use listing_key rather than ticker for venue-level joins.
• Use core_aliases.csv for collision-safe core alias lookup and aliases.csv for legacy ticker-keyed lookup.
• 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.