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Frequent Visitor

## Find the last day value;

I intend to calculete the day by day price variation between the values of public traded stocks using DAX.After hour of reserch, I constructed the following expression, that gave me the current and the last price:

```SUMMARIZE (
Inf_diario,
"PREVIOUS VL",
VAR previousDate =
MAXX (
FILTER (
Inf_diario,
Inf_diario[CNPJ_FUNDO] = EARLIER ( Inf_diario[CNPJ_FUNDO] )
&& Inf_diario[DT_COMPTC] < EARLIER ( Inf_diario[DT_COMPTC] )
),
Inf_diario[DT_COMPTC]
)
RETURN
MAXX (
FILTER (
Inf_diario,
Inf_diario[CNPJ_FUNDO] = EARLIER ( Inf_diario[CNPJ_FUNDO] )
&& Inf_diario[DT_COMPTC] = previousDate
),
Inf_diario[VL_QUOTA]
)
),
Inf_diario[ID],
Inf_diario[DT_COMPTC],
Inf_diario[VL_QUOTA],
[PREVIOUS VL]
)```

The results:

Now, I need to find the diference between the PREVIOUS VL and VL QUOTA (current value), to finally calculate Standard deviation, %change etc.

1 ACCEPTED SOLUTION
Solution Sage

It seems you are modeling off a single table and created a second calculated table. If so, i would do things a bit differently.  I would use measures instead.   First, put 'id' and 'DT_COMPTC' on rows of Matrix, then add the following measures:

`VL_Quota measure = SUM (Inf_diario[VL_Quota] )`

then:

```Previous VL Measure =
VAR _dates =
FILTER (
ALL ( Inf_diario[DT_COMPTC] ),
Inf_diario[DT_COMPTC] < MAX ( Inf_diario[DT_COMPTC] )
)
VAR _previousDate =
LASTNONBLANK ( _dates, [VL_Quota measure] )
RETURN
CALCULATE ( [VL_Quota measure], Inf_diario[DT_CoMPTC] = _previousDate )```

then your % change is easy:

```% Change =
DIVIDE ( [Previous DL Measure] - [VL_Quota measure], [VL_Quota measure] )```

and so on.

But if you want to continue to use your calculated table, you'll need to add more values via the ADDCOLUMNS you have.

2 REPLIES 2
Solution Sage

It seems you are modeling off a single table and created a second calculated table. If so, i would do things a bit differently.  I would use measures instead.   First, put 'id' and 'DT_COMPTC' on rows of Matrix, then add the following measures:

`VL_Quota measure = SUM (Inf_diario[VL_Quota] )`

then:

```Previous VL Measure =
VAR _dates =
FILTER (
ALL ( Inf_diario[DT_COMPTC] ),
Inf_diario[DT_COMPTC] < MAX ( Inf_diario[DT_COMPTC] )
)
VAR _previousDate =
LASTNONBLANK ( _dates, [VL_Quota measure] )
RETURN
CALCULATE ( [VL_Quota measure], Inf_diario[DT_CoMPTC] = _previousDate )```

then your % change is easy:

```% Change =
DIVIDE ( [Previous DL Measure] - [VL_Quota measure], [VL_Quota measure] )```

and so on.

But if you want to continue to use your calculated table, you'll need to add more values via the ADDCOLUMNS you have.

Frequent Visitor

It worked perfectly!!! Thank you mattbrice.

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