Just add ) to the existing command, and then convert ( to - to make numbers in parentheses negative. Then convert to float.
)
(
-
(df['Currency'].replace( '[\$,)]','', regex=True ) .replace( '[(]','-', regex=True ).astype(float)) Currency0 11 20002 -3000
this is if you want to make sure its added to the DataFrame especially if you have lots of columns which the average DataFrame has so you can work on it
df['Currency']=(df['Currency'].replace( '[\$,)]','', regex=True ) .replace( '[(]','-', regex=True ).astype(float))