businessYearEnd
Syntax
businessYearEnd(X, [endingMonth=12], [offset], [n=1])
Arguments
X is a scalar/vector of data type DATE, DATEHOUR, DATETIME, TIMESTAMP or NANOTIMESTAMP.
endingMonth is an integer between 1 and 12 indicating a month. The default value is 12.
offset (optional) is a scalar of the same data type as X, It must be no greater than the minimum value of X. The default value is the minimum value of X.
n (optional) is a positive integer. The default value is 1.
Details
Return the last business day (Monday to Friday) of the year that X belongs to and that ends in the month of endingMonth.
If parameter offset is specified, the result is updated every n years. Parameter offset works only if parameter n>1.
Examples
businessYearEnd(2012.06.12, 3);
// output
2013.03.29
businessYearEnd(2012.06.12, 9);
// output
2012.09.28
businessYearEnd(2012.06.12);
// output
2012.12.31
businessYearEnd(2012.06.12, 12, 2009.04.03, 2);
// output
2013.12.31
date=2011.04.25+(1..10)*365
time = take(09:30:00, 10)
sym = take(`MSFT,10)
price= 49.6 29.46 29.52 30.02 174.97 175.23 50.76 50.32 51.29 52.38
qty = 2200 1900 2100 3200 6800 5400 1300 2500 8800 4500
t1 = table(date, time, sym, qty, price);
t1;
            | date | time | sym | qty | price | 
|---|---|---|---|---|
| 2012.04.24 | 09:30:00 | MSFT | 2200 | 49.6 | 
| 2013.04.24 | 09:30:00 | MSFT | 1900 | 29.46 | 
| 2014.04.24 | 09:30:00 | MSFT | 2100 | 29.52 | 
| 2015.04.24 | 09:30:00 | MSFT | 3200 | 30.02 | 
| 2016.04.23 | 09:30:00 | MSFT | 6800 | 174.97 | 
| 2017.04.23 | 09:30:00 | MSFT | 5400 | 175.23 | 
| 2018.04.23 | 09:30:00 | MSFT | 1300 | 50.76 | 
| 2019.04.23 | 09:30:00 | MSFT | 2500 | 50.32 | 
| 2020.04.22 | 09:30:00 | MSFT | 8800 | 51.29 | 
| 2021.04.22 | 09:30:00 | MSFT | 4500 | 52.38 | 
select avg(price),sum(qty) from t1 group by businessYearEnd(date, 4, 2010.04.01, 2);
            | businessYearEnd_date | avg_price | sum_qty | 
|---|---|---|
| 2012.04.30 | 49.6 | 2200 | 
| 2014.04.30 | 29.49 | 4000 | 
| 2016.04.29 | 102.495 | 10000 | 
| 2018.04.30 | 112.995 | 6700 | 
| 2020.04.30 | 50.805 | 11300 | 
| 2022.04.29 | 52.38 | 4500 | 
Related functions: businessYearBegin, yearBegin, yearEnd
