pytickersymbols
pytickersymbols provides access to google and yahoo ticker symbols for all stocks of the following indices:
- AEX
- BEL 20
- CAC 40
- CAC MID 60
- DAX
- DOW JONES
- EURO STOXX 50
- FTSE 100
- IBEX 35
- MDAX
- NASDAQ 100
- OMX Helsinki 25
- OMX Stockholm 30
- S&P 100
- S&P 500
- S&P 600
- SDAX
- Switzerland 20
- TECDAX
install
pip3 install pytickersymbols
quick start
Get all countries, indices and industries as follows:
from pytickersymbols import PyTickerSymbols
stock_data = PyTickerSymbols()
countries = stock_data.get_all_countries()
indices = stock_data.get_all_indices()
industries = stock_data.get_all_industries()
You can select all stocks of an index as follows:
from pytickersymbols import PyTickerSymbols
stock_data = PyTickerSymbols()
german_stocks = stock_data.get_stocks_by_index('DAX')
uk_stocks = stock_data.get_stocks_by_index('FTSE 100')
print(list(uk_stocks))
If you are only interested in ticker symbols, then you should have a look at the following lines:
from pytickersymbols import PyTickerSymbols
stock_data = PyTickerSymbols()
# the naming conversation is get_{index_name}_{exchange_city}_{yahoo or google}_tickers
dax_google = stock_data.get_dax_frankfurt_google_tickers()
dax_yahoo = stock_data.get_dax_frankfurt_yahoo_tickers()
sp100_yahoo = stock_data.get_sp_100_nyc_yahoo_tickers()
sp500_google = stock_data.get_sp_500_nyc_google_tickers()
dow_yahoo = stock_data.get_dow_jones_nyc_yahoo_tickers()
# there are too many combination. Here is a complete list of all getters
all_ticker_getter_names = list(filter(
lambda x: (
x.endswith('_google_tickers') or x.endswith('_yahoo_tickers')
),
dir(stock_data),
))
print(all_ticker_getter_names)
Iterator Examples
Use iterator-based APIs to stream results without building large lists:
from pytickersymbols import PyTickerSymbols
stock_data = PyTickerSymbols()
# Stream indices
for index in stock_data.iter_all_indices():
print(index)
# Stream all unique stocks
for company in stock_data.iter_all_stocks():
print(company['name'])
# Stream industries and countries
for industry in stock_data.iter_all_industries():
pass # handle industry
for country in stock_data.iter_all_countries():
pass # handle country
# Stream Yahoo tickers for an index (flattened)
for tickers in stock_data.iter_yahoo_ticker_symbols_by_index('DAX'):
for ticker in tickers:
print(ticker)
# Stream tickers using exchange-specific dynamic methods
for ticker in stock_data._iter_tickers_by_index('DAX', ('FRA:',), 'yahoo'):
print(ticker)
Development
Setting up the development environment
This project uses Poetry for dependency management. To set up your development environment:
# Install Poetry if you haven't already
curl -sSL https://install.python-poetry.org | python3 -
# Clone the repository
git clone https://github.com/portfolioplus/pytickersymbols.git
cd pytickersymbols
# Install dependencies (including dev dependencies)
poetry install
# Activate the virtual environment
poetry shell
Development Tools
The tools/ directory contains scripts for managing stock index data:
- build_indices.py: End-to-end pipeline to parse Wikipedia, enrich with
stocks.yaml, canonicalize names, and generate the Python data module. - wiki_table_parser.py: Utilities to parse Wikipedia tables configured via
index_sources.yaml. - enrich_indices.py: Merge raw parsed data with
stocks.yamlhistorical metadata and symbols. - canonicalize_names.py: Normalize company display names across indices using ISIN/Wikipedia.
- sync_canonical_to_stocks.py: Propagate canonical names back to
stocks.yaml. - enrich_with_yfinance.py: Optional enrichment helpers using Yahoo Finance.
See tools/README.md for detailed usage instructions.
Running Tests
poetry run pytest
Adding a New Index
To add a new stock index to the library:
-
Add the index to configuration
Edit tools/index_sources.yaml and add a new entry:- name: NIKKEI 225 source: type: wikipedia url: https://en.wikipedia.org/wiki/Nikkei_225 table_title_regex: "Components" extract_company_info: true language_fallbacks: ["ja", "en"] columns: name: ["Company", "Name"] symbol: ["Ticker", "Symbol"] isin: ["ISIN"] sector: ["Sector", "Industry"] symbol_converter: - pattern: "^(.+)$" format: "{1}.T" # Add .T suffix for Tokyo Stock Exchange match: by: symbol
Configuration options:
name: Display name (must match stocks.yaml if merging with historical data)url: Wikipedia page URL containing the index constituents tabletable_title_regex: (Optional) Regex to match the table titleextract_company_info: Set totrueto fetch additional details from company Wikipedia pageslanguage_fallbacks: List of Wikipedia language codes to try for ISIN lookupsymbol_converter: Rules to convert Wikipedia symbols to Yahoo Finance formatcolumns: Map Wikipedia table headers to data fieldsmatch.by: Field to use for matching with historical data (symbol,isin, orname)
-
Run the build pipeline
This will parse Wikipedia, enrich the data, and generate the Python module:cd tools python build_indices.py
This creates:
indices_raw/<index_name>.json- Raw parsed data from Wikipediaindices/<index_name>.yaml- Enriched data merged with historical records- Updates
src/pytickersymbols/indices_data.py- Generated Python module
-
Test the new index
Verify the index is accessible:from pytickersymbols import PyTickerSymbols stock_data = PyTickerSymbols() nikkei_stocks = stock_data.get_stocks_by_index('NIKKEI 225') print(list(nikkei_stocks))
-
Run tests
Ensure everything works:poetry run pytest
-
Update the index list
Add a checkbox entry to the supported indices list at the top of this README.
Note: The build pipeline automatically runs weekly via GitHub Actions to keep index data up to date.
Performance Tips
- Lookups for stocks by symbol and aggregated lists/sets are internally cached for speed. After calling
load_json()orload_yaml(), caches are automatically rebuilt. - For large results, prefer generator variants to avoid materializing lists:
iter_all_indices(),iter_all_stocks(),iter_all_countries(),iter_all_industries(), anditer_yahoo_ticker_symbols_by_index()/iter_google_ticker_symbols_by_index(). - Dynamic ticker getters follow the naming convention
get_{index_name}_{exchange_city}_{yahoo|google}_tickersand return lists. Use_iter_tickers_by_index()for streaming if needed.
issue tracker
1 maintainer
Metadata
1 maintainer
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