This release features the introduction of the FinanceFrame. This is a DataFrame with extras, namely the function to_toolkit. As also visible in this example, the Finance Database can now directly convert the symbols to the Finance Toolkit 🛠️ making it possible to do combine the exploration of tickers from the Finance Database with the in-depth financial analysis from the Finance Toolkit.
As an example, it is possible to use both .select() and .search() and combine this with .to_toolkit().
For fundamental data, you need to obtain an API Key from FinancialModelingPrep. This is used to gain access to 30+ years of financial statement both annually and quarterly. Note that the Free plan is limited to 250 requests each day, 5 years of data and only features companies listed on US exchanges.
Through the link you are able to subscribe for the free plan and also premium plans at a 15% discount. This is an affiliate link and thus supports the project at the same time. I have chosen FinancialModelingPrep as a source as I find it to be the most transparent, reliable and at an affordable price. I have yet to find a platform offering such low prices for the amount of data offered.