Find MAX within GROUP first, THEN filter resulting subset for desired value

This [TABLE1] is a simplified representation of my data. The TRUE data is 40 columns of 10M records.

THE OBJECTIVE is to get the [Dollars] in the MAX [Event] record within each [Contract] group where the [Post] date is less than or equal to a user-supplied date. But, only if the MAX [Event] record’s [Status] is ‘good’ or ‘better’. (Determination of the MAX [Event] (prior to the specified [Post] date) takes precedence over the [Status].)

My first inclination is to slice out those records that don’t meet the date criteria, then to find the maximum [Event] for each remaining [Contract] group.

DEFINE
    VAR AsOfThisDate =
        DATE ( "2021", "03", "24" )
    VAR BeforeDate =
        SUMMARIZECOLUMNS (
            Table1[Contract],
            Table1[Event],
            FILTER ( Table1, Table1[Post] <= AsOfThisDate )
        )
    VAR MaxEvent =
        GROUPBY (
            BeforeDate,
            Table1[Contract],
            "@Event", MAXX ( CURRENTGROUP (), Table1[Event] )
        )
EVALUATE
    MaxEvent

This results in the ONE MAX [Event] record per [Contract] where the [Post] date is less than or equal to the supplied date. Great! Now that I’ve cut the table size down to a much smaller subset, the remaining step is to retrieve the [Dollars] value from each of these records where the [Status] is “good” or “better”.

This is where I’m stuck. I suspect I’m attacking this problem in a sub-optimal, certainly less-than-ideal manner. I’ve not made any progress in my attempts at using CALCULATE. I thought something like this might work, but the ‘MaxEvent’ GROUPBY table doesn’t include [Dollars] or [Status] values, of course.

    VAR GoodDollars =
        CALCULATE (
            MIN ( MaxEvent[Dollars] ),
            MaxEvent[Status] = "good" || MaxEvent[Status] = "better",
        )
EVALUATE
    GoodDollars

How about this, instead? No such luck. It makes sense to me, but not to DAX Studio:

    VAR GoodDollars =
        CALCULATE (
            SUM ( Table1[Dollars] ),
            FILTER ( Table1, MaxEvent[Contract] = Table1[Contract] ),
            FILTER ( Table1, MaxEvent[@Event] = Table1[Event] ),
            FILTER ( Table1, Table1[Status] = "good" || Table1[Status] = "better" )
        )
EVALUATE
    GoodDollars

I don’t think I need to apply the [Status] filter to the entire table; only to the individual MAX [Event] record for each [Contract]. Am I making this more complicated than it needs to be? Probably. I’m not interested in aggregate values, either. I want to single out each [Contract]’s [Dollars] value for use in other measures.

Can you help me solve this puzzle, please? And, how to optimize the solution, given the data volume?