Using the threadpoolexecutor in all it's glory

threadpoolexecutor_full.py

from alpha_vantage.timeseries import TimeSeries
from concurrent.futures import ThreadPoolExecutor
import os

KEY = os.path.expandvars("$ALPHA_VANTAGE_HIGHER_KEY")
ts = TimeSeries(key=KEY, output_format='pandas')
tickers = ['ATVI','ADBE','AMD','ALXN','ALGN', 'GOOG', 'AMZN', 'AAL', 'ADI', 'AMAT']

def thread_pool():
    with ThreadPoolExecutor(max_workers=10) as executor:
        generator = executor.map(lambda ticker:ts.get_daily(symbol=ticker,outputsize='full'), tickers)
#         for data,meta_data in generator:
#             print(type(data))

        
import timeit
print("Time it took to get 10 tickers in paralell:")
print(timeit.timeit('thread_pool()', setup='from __main__ import thread_pool', number=1))