Need help improving DAX calculations for accurate results in Power BI from single date column!

[Anonymous]

Hello Power BI community!

I'm seeking your expertise to help me improve two DAX calculations that I'm currently using to calculate the receiving and sending (handling) dates for a ticket table. The data I'm dealing with is related to a list of tickets that are received and then treated by technicians on different dates, unfortunately, I'm only provided with one date column which aggregates all actions performed on a specific ticket (which is DateTime), and a ticket may appear repetitively but with different receiving and sending dates (which should be taken into account of course). 

Here's a snapshot from the raw data table:

Feel free to download these tables from here: "https://smallpdf.com/file#s=c745e973-29a0-4dbd-85ab-2472d7379858"

Below are the DAX calculations I'm using to produce the results (which are now inaccurate)

ReceiverDate = 
CALCULATE(
MIN(WEEKLY_IDs[DateTime]),
FILTER(
ALL('WEEKLY_IDs'),
'WEEKLY_IDs'[SenderID] = EARLIER('WEEKLY_IDs'[ReceiverID]) &&
'WEEKLY_IDs'[ReceiverID] = EARLIER('WEEKLY_IDs'[SenderID]) &&
'WEEKLY_IDs'[Ticket_ID] = EARLIER('WEEKLY_IDs'[Ticket_ID])
)
)

SenderDate = 
CALCULATE(
MAX([DateTime]),
FILTER(
ALL('WEEKLY_IDs'),
'WEEKLY_IDs'[SenderID] = EARLIER('WEEKLY_IDs'[SenderID]) &&
'WEEKLY_IDs'[ReceiverID] = EARLIER('WEEKLY_IDs'[ReceiverID]) &&
'WEEKLY_IDs'[Ticket_ID] = EARLIER('WEEKLY_IDs'[Ticket_ID])
)
)

These are the end results I'm seeking to accomplish with these two DAX calculations: