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Anonymous
Not applicable

## Rolling 12 month average of all account holdings

Hi, hoping someone can help me with what must be the first thing I have stumbled on that I can not work out for the life of me. I have been trawling the forums looking for an answer, but haven't been able to find a solution.

I work for a company which holds our clients funds in custody for their investments. Each day, the total holdings for each account will change, depending on movements in the market. An example of how this data may look would be as below.

 Date Account Account Type Holdings 1 Jul 19 Account A Personal 10,000 1 Jul 19 Account B Personal 250,500 1 Jul 19 Account C Business 95,000 2 Jul 19 Account A Personal 10,150 2 Jul 19 Account B Personal 251,800 2 Jul 19 Account C Business 96,800 3 Jul 19 Account A Personal 9,990 3 Jul 19 Account B Personal 248,800 3 Jul 19 Account C Business 92,200

So with the above example, the total holdings for all accounts would be

 Date Total Holdings 1 Jul 19 355,500 2 Jul 19 358,750 3 Jul 19 350,990

What I am trying to do, is to create a measure that will be able to provide a 12 month rolling average of the total holdings within a period. But with every method I have tried, it keeps taking in to account the granularity of the data and providing the average of all values across the accounts, rather than the average of the aggregated holdings each day. So using the above example, the result being produced (assuming it were a 3 day rolling average) would be 118,360 - but the desire result should be 355,080.

Where I am at the moment with this is the following DAX measure.

12m Rolling Holdings =
CALCULATE(AVERAGE(Clients[Holdings]),
SUMMARIZE(Clients,Clients[Date],"DateOnly",
CALCULATE(SUM(Clients[Holdings]),
DATESBETWEEN(Dates[Date],
NEXTDAY(SAMEPERIODLASTYEAR(LASTDATE(Dates[Date]))),
LASTDATE(Dates[Date])))))

I think I am almost there, but am struggling to structure this in a way that filters the data the way I want for the purpose of the measure. I have tried a few other variations, some producing the same result and others producing an error. Perfectly aware that using 2 sets of CALCULATE probably isn't the best practice, but have run out of ideas here and tearing my hair out.

Please help!
2 ACCEPTED SOLUTIONS
Super User

Try like

``````avergageX(summarize(calculatetable(Clients,DATESINPERIOD('Date'[Date],ENDOFMONTH(Clients[Date]),-12,MONTH)),
Date[Date],"_DateOnly",CALCULATE(SUM(Clients[Holdings]))),[_DateOnly])``````
Community Support

Hi, @Anonymous

Based on your description, you may create a measure as below.

``````Result =
CALCULATE(
SUMX(Clients,Clients[Holdings])/DISTINCTCOUNT(Clients[Date]),
DATESINPERIOD(
Dates[Date],
LASTDATE(Dates[Date]),
-1,
YEAR
)
)``````

Result:

Best Regards

Allan

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

3 REPLIES 3
Community Support

Hi, @Anonymous

Based on your description, you may create a measure as below.

``````Result =
CALCULATE(
SUMX(Clients,Clients[Holdings])/DISTINCTCOUNT(Clients[Date]),
DATESINPERIOD(
Dates[Date],
LASTDATE(Dates[Date]),
-1,
YEAR
)
)``````

Result:

Best Regards

Allan

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Anonymous
Not applicable

Thanks @v-alq-msft @amitchandak both solutions make perfect sense and both work.

Much appreciated.

Super User

Try like

``````avergageX(summarize(calculatetable(Clients,DATESINPERIOD('Date'[Date],ENDOFMONTH(Clients[Date]),-12,MONTH)),
Date[Date],"_DateOnly",CALCULATE(SUM(Clients[Holdings]))),[_DateOnly])``````

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