Cummulative sum with slicer, big table

Hi Brise 

Here's what I would:

1. Split the datetime into separate date and time components to reduce cardinality and create a smaller footprint.
2. Apply the cumulative calculation to a column with low cardinality. Doing this on a column with high distinct values, like Fecha Mov, is not ideal. Referring to the first point, use separate date and time/hour dimensions, relate them to your fact table, and apply the cumulative calculation to those columns.

Cumulative Sum = 
CALCULATE (
    [Sum of Values],
    FILTER ( ALL ( Dates ), Dates[Date] <= MAX ( Dates[Date] ) ),
    FILTER ( ALL ( 'Hours' ), Hours[Hour] <= MAX ( 'Hours'[Hour] ) )
)

Please see the attached sample pbix.