def worth_at_date(money_transactions, date):
df = prg.to_dataframe(money_transactions)
qs = df[df.dt_date <= date].groupby(["owner", "ticker"]).quantity.sum()
return str(
pd.DataFrame(qs)
.apply(lambda x: cv.in_CZK(date, x.name[1]) * x.quantity, axis=1)
.reset_index()
.groupby("owner")
.sum()
)
