FinanceToolkit v1.5.0
Introducing the power of Threading into the FinanceToolkit. Update now via pip install financetoolkit -U.
As an example, obtaining the balance sheet statements of 345 different companies for the period 1983 to 2023 takes less than 40 seconds. This makes data collection extremely quick and makes the FinanceToolkit an invaluable tool for any financial specialist.
Next to that, given that there are rate limits, these are correctly dealt with through sleep timers. If you have a subscription from FinancialModelingPrep that limits you to 300 requests per minute, the FinanceToolkit will deal with this and will wait until it can make requests again.
Furthermore, if some of the historical data is not available from FinancialModelingPrep it will try YahooFinance instead making sure that you don't lose vital data for your calculations.
Of course, all of this extends in all functionality. E.g. see Jensen's Alpha for all 345 tickers on a quarterly basis. Given that the calculations are done by the FinanceToolkit, this takes just a few seconds.
