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**Insert the FinanceDatabase.** This is a database of over 300.000 symbols (155k+ companies, 36k+ ETFs, 57k+ Funds, 3k+ Cryptocurrencies and more) that is fully categorised per country, industry, sector, category and more. It includes a package, written in Python and installable with `pip install financedatabase`, that gives access to the data with ease. You can obtain the entire dataset per asset class, search through it and filter based on specific options. Have a look at this Notebook to have an idea what it is offering.
The tickers itself are relatively easy to obtain which is the main reason I use them. However, I am aware that in due time other identifiers can be very beneficial. I am keeping my eyes on https://github.com/finos/secref-data which is going to offer exactly that, the ability to match ISIN, CIK, FIGI etc to the same company.
That's where you have APIs FundamentalAnalysis, yfinance and OpenBB for that connect very well with my database.
That's where you have APIs FundamentalAnalysis, yfinance and OpenBB for that connect very well with my database.
That's where you have APIs FundamentalAnalysis, yfinance and OpenBB for that connect very well with my database.
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