You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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 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.
Obtain an API Key from FinancialModelingPrep here.
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.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
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 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.
This discussion was created from the release FinanceDatabase 2.2.0.
Beta Was this translation helpful? Give feedback.
All reactions