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Posted October 10, 2024 at 12:54 pm
The article “FinanceDatabase Guide – A Comprehensive Database of Financial Symbols (Python Package)” first appeared on AlgoTrading101 blog.
Excerpt
FinanceDatabase is a Python package of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies, and Money Markets.
Link: https://pypi.org/project/financedatabase/
FinanceDatabase is mainly used for any type of financial product categorization. Moreover, it gives insights into the products that exist in each country, industry, and sector and gives the most essential information about each product.
This allows algorithmic traders and investors to analyze specific financial segments and helps them find assets that are hard to uncover. For example, it is used within the OpenBB terminal.
Yes, FinanceDatabase is open-sourced and thus it is completely free.
The FinanceDatabase doesn’t have direct alternatives but some of them are:
FinanceDatabase has approximately the following kind of data:
| Product | Quantity | Sectors | Industries | Countries | Exchanges |
|---|---|---|---|---|---|
| Equities | 155.705 | 16 | 242 | 111 | 82 |
| ETFs | 36.727 | 364* | 94* | 100** | 52 |
| Funds | 57.816 | 1678* | 438* | 100** | 34 |
| Product | Quantity | Category |
|---|---|---|
| Currencies | 2.590 | 174 Currencies |
| Cryptocurrencies | 3.624 | 299 Cryptocurrencies |
| Indices | 86.353 | 49 Exchanges |
| Money Markets | 1.384 | 2 Exchanges |
To get started with FinanceDatabase, you will need to install its Python library with the following command:
pip install financedatabase
In the following article sections, we will explore what the FinanceDatabase has to offer and how it can be used for conducting financial research.
import financedatabase as fd
To get general data with FinanceDatabase, you will need to initialize the part of the database you want to use (e.g. equities) and use the filtering methods such as options, select and search.
For example, let’s initialize the equities database and obtain all industries from a specific country:
equities = fd.Equities()
equities_germany_industries = equities.options('industry', country='Singapore')
equities_germany_industriesarray(['Aerospace & Defense', 'Air Freight & Logistics', 'Airlines',
'Auto Components', 'Automobiles', 'Banks', 'Beverages', ...We obtain all of the 55 industries in Singapore, feel free to experiment with other countries.
Now, let’s obtain all equities from a specific country such as the USA:
equities_united_states = equities.select(country="United States") equities_united_states.head()
To perform an advanced search on the Finance Databse, you can use the search method and pass multiple parameters to limit your search to a specific market segment.
For example, let’s obtain all Swedish software companies that have the word “cloud” in their summary and are part of the FRA exchange:
equities_sweden_software = equities.search(
country='Sweden',
industry='Software',
summary="cloud",
exchange="FRA"
)
equities_sweden_software
Visit AlgoTrading101 blog to learn how to collect data from the FinanceDatabase.
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