Max Conditional Statements in Excel with duplicate max values - excel

Question

I need help in Excel of finding finding the Correct Output based on Amount of four conditional statements of:
max value of Timestamp;
if there are duplicate max dates, use the last row of the same Timestamp because the data does not extend upto seconds;
per month of the Timestamp;
per (4) unique ID
and leave the other rows blank. The Correct Output column is the expected output.
Here's the sample data:
╔════╦═════════════════════════════╦═════════╦════════════════╦══╦═════════════╦════════════╦═════════╗
║ ID ║ Timestamp (yyyy-mm-dd H:mm) ║ Amount ║ Correct Output ║ ║ Date Format ║ Max Date ║ Test ║
╠════╬═════════════════════════════╬═════════╬════════════════╬══╬═════════════╬════════════╬═════════╣
║ A ║ 2013-04-15 20:42 ║ NULL ║ NULL ║ ║ 2013-04-15 ║ 2013-04-15 ║ NULL ║
║ A ║ 2013-05-23 23:09 ║ 300000 ║ 300000 ║ ║ 2013-05-23 ║ 2013-05-23 ║ 300000 ║
║ A ║ 2013-09-15 23:36 ║ 300000 ║ 300000 ║ ║ 2013-09-15 ║ 2013-09-15 ║ 300000 ║
║ A ║ 2013-12-19 5:58 ║ 300000 ║ ║ ║ 2013-12-19 ║ 2013-12-19 ║ 0 ║
║ A ║ 2013-12-19 6:18 ║ 0 ║ ║ ║ 2013-12-19 ║ 2013-12-19 ║ 0 ║
║ A ║ 2013-12-19 6:18 ║ 0 ║ 0 ║ ║ 2013-12-19 ║ 2013-12-19 ║ 0 ║
║ B ║ 2013-05-23 23:00 ║ NULL ║ ║ ║ 2013-05-23 ║ 2013-05-23 ║ 0 ║
║ B ║ 2013-05-23 23:04 ║ 0 ║ 0 ║ ║ 2013-05-23 ║ 2013-05-23 ║ 0 ║
║ B ║ 2013-05-30 3:48 ║ 2339000 ║ ║ ║ 2013-05-30 ║ 2013-05-30 ║ 1169500 ║
║ B ║ 2013-05-30 3:54 ║ 1169500 ║ 1169500 ║ ║ 2013-05-30 ║ 2013-05-30 ║ 1169500 ║
║ B ║ 2013-06-02 11:46 ║ 2339000 ║ ║ ║ 2013-06-02 ║ 2013-06-02 ║ 2339000 ║
║ B ║ 2013-06-27 8:40 ║ 2339000 ║ ║ ║ 2013-06-27 ║ 2013-06-27 ║ 2339000 ║
║ B ║ 2013-06-27 13:59 ║ 2339000 ║ ║ ║ 2013-06-27 ║ 2013-06-27 ║ 2339000 ║
║ B ║ 2013-06-27 13:59 ║ 2339000 ║ 2339000 ║ ║ 2013-06-27 ║ 2013-06-27 ║ 2339000 ║
║ C ║ 2015-02-09 12:43 ║ NULL ║ ║ ║ 2015-02-09 ║ 2015-02-09 ║ NULL ║
║ C ║ 2015-02-09 12:43 ║ NULL ║ NULL ║ ║ 2015-02-09 ║ 2015-02-09 ║ NULL ║
║ D ║ 2013-12-02 0:05 ║ NULL ║ ║ ║ 2013-12-02 ║ 2013-12-02 ║ 37000 ║
║ D ║ 2013-12-02 0:37 ║ 37000 ║ 37000 ║ ║ 2013-12-02 ║ 2013-12-02 ║ 37000 ║
║ D ║ 2014-07-16 7:36 ║ 0 ║ ║ ║ 2014-07-16 ║ 2014-07-16 ║ 0 ║
║ D ║ 2014-07-16 7:36 ║ 0 ║ 0 ║ ║ 2014-07-16 ║ 2014-07-16 ║ 0 ║
║ E ║ 2013-06-27 8:35 ║ NULL ║ NULL ║ ║ 2013-06-27 ║ 2013-06-27 ║ NULL ║
╚════╩═════════════════════════════╩═════════╩════════════════╩══╩═════════════╩════════════╩═════════╝
References:
Column A - ID
Column B - Timestamp
Column F - Date Format
Column G - Max Date
Column H - Test
Here are the steps I tried:
I created the Date Format using date
Created the Max Date with =MAX(IF($F$2:$F$22=F2,IF($A$2:$A$22=A2,$B$2:$B$22))) (in array)
Created Test with =INDEX(C2:C22,MATCH(G2,B2:B22,0)) (in array)

Answer 1

Assuming cell D2 for the first "Correct Output":
=IF(SUMPRODUCT(0+(MONTH(G$2:G$22)=MONTH(G2)),0+(A$2:A$22=A2))=SUMPRODUCT(0+(MONTH(G$2:G2)=MONTH(G2)),0+(A$2:A2=A2)),LOOKUP(1,0/((MONTH(G$2:G$22)=MONTH(G2))*(A$2:A$22=A2)),C$2:C$22),"")
Copy down as required.
Note that you can amend the upper row being referenced (22 here) to meet your requirements, though you should be careful not to make it too arbitrarily large (and certainly don't reference entire columns!), since, for each additional cell referenced, extra calculation will be required.
And that applies whether those additional cells are technically beyond the last-used cells in those ranges or not. With some functions, e.g. COUNTIF(S)/SUMIF(S), you can get away with referencing entire columns with no detriment to performance, though not with functions which operate over arrays, such as AGGREGATE, SUMPRODUCT, and any construction requiring CSE.
Even better, makes your ranges dynamic, such that they automatically adjust as your data expands/contracts.
Regards