Revised question with appropriate MCVE:
As part of a script I'm writing I need to have a loop that contains a different pair of dates during each iteration, these dates are the first and last available stock trading dates of each month. I have managed to find a calendar with the available dates in an index however despite my research I am not sure how to select the correct dates from this index so that they can be used in the DateTime variables start
and end
.
Here is as far as my research has got me and I will continue to search for and build my own solution which I will post if I manage to find one:
from __future__ import division
import numpy as np
import pandas as pd
import datetime
import pandas_market_calendars as mcal
from pandas_datareader import data as web
from datetime import date
'''
Full date range:
'''
startrange = datetime.date(2016, 1, 1)
endrange = datetime.date(2016, 12, 31)
'''
Tradable dates in the year:
'''
nyse = mcal.get_calendar('NYSE')
available = nyse.valid_days(start_date='2016-01-01', end_date='2016-12-31')
'''
The loop that needs to take first and last trading date of each month:
'''
dict1 = {}
for i in available:
start = datetime.date('''first available trade day of the month''')
end = datetime.date('''last available trade day of the month''')
diffdays = ((end - start).days)/365
dict1 [i] = diffdays
print (dict1)