[Python] How do you make faster API calls using multithreading without using requests in...

I'm trying to receive historical stock data for every company in the S&P 500. The problem is that it is taking a really long time to get the data.

from ApiStuff import ApiStuff
import fundamentalanalysis as fa
import pickle

tickers = pickle.load(open('S&P500_TICKERS.dat', 'rb'))

api_key = ApiStuff.api_key
data_from_tickers = []

for ticker in tickers:
balance_sheet_annually = fa.balance_sheet_statement(ticker, api_key, period="annual")
data_from_tickers.append(balance_sheet_annually)


I tried searching on the internet on how to speed it up, but they use other modules (e.g. requests, aiohttp) for making the retrieval of the data faster and I am dependent on this module (fundamentalanalysis) to retrieve fundamental data.

Is there a way for me to still use this module and make API requests faster via the methods described?

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