pytickersymbols
pytickersymbols provides access to google and yahoo ticker symbols for all stocks of the following indices:
- [x] AEX
- [x] BEL 20
- [x] CAC 40
- [x] DAX
- [x] DOW JONES
- [x] FTSE 100
- [x] IBEX 35
- [x] MDAX
- [x] NASDAQ 100
- [x] OMX Helsinki 15
- [x] OMX Helsinki 25
- [x] OMX Stockholm 30
- [x] S&P 100
- [x] S&P 500
- [x] SDAX
- [x] SMI
- [x] TECDAX
- [x] MOEX
install
pip3 install pytickersymbolsquick 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)