Calculating predicted value

I am trying to show the predicted value of upcoming months based on the average of last 5 values. The regulatory year starts in April and Finishes in March.

The way I am calculating forecast value is the sum of the total value of months of current regulatory years and the last 5-year average value of remaining months.

For clarification, it would be like as follow

The predicted value of upcoming months = total value of current regulatory year + last 5 years average value of remaining months of the regulatory year.

For example, In April current regulatory year starts, so the predicted value of remaining months = actual value of April + last 5 years average value of remaining months (i.e. May to March).

I also don’t want to show the predicted value of months that are gone. For example, I don’t want to show the predicted value of April as it is gone.

To represent the above concept, I wrote the following measure:

Forecast Value =

Var _CYMonth = MONTH(TODAY())

Var _RYMonth = if(_CYMonth > 3 && _CYMonth <= 12, _CYMonth - 3,_CYMonth + 9)

Var sum_last_months = CALCULATE([Normalized Value],FILTER('Date','Date'[Date]<=EOMONTH(EOMONTH(TODAY(),0),-1)&&'Date'[Date] >= [Current_RY_Yr_Strt]))

Var average_remain_month_value = CALCULATE([Average Normalized Value -5y],FILTER(ALLSELECTED('Date'),MAX('Date'[RY Month Number])>=_RYMonth&&AND('Date'[RY Month Number]<=MAX('Date'[RY Month Number]),'Date'[RY Month Number]>=_RYMonth)))

Var total_estimate = average_remain_month_value + sum_last_months

Return

IF(not(ISBLANK(MAX('Date'[RY Month Number]))) && MAX('Date'[RY Month Number])>=_RYMonth,total_estimate,BLANK())

 

When I tried to plot the above measure in the line chart, it does not add the last month value as shown in the following picture:

 

The value of the last month of the current month is 7. So the predicted value of May should be 7 + 2.68 (based on last 5 year).
However, in the figure, it only shows 2.68, not 7+2.68.
Could anyone guide me where I am making the mistake?  Sample file here