The VINCAP WINE index tracks 22 listed wine companies, weighted by market value, based to 100 on 3 July 2026. It publishes one row per trading day, in three currencies, in a public CSV.

October 2026, from that file (30 September close → 30 October close):

currency 30 Sep 30 Oct October

US dollar 106.26 110.81 +4.28%

euro 107.03 113.36 +5.92%

each stock's own currency 106.37 111.08 +4.43%

Same companies, same days. The gap between the rows is the currency, not the wine business: the euro lost ground against the dollar over the month, so a euro-based holder saw more of the gain.

Recompute it yourself

import pandas as pd

url = " https://vincap.co/data/levels/wine.csv " df = pd . read_csv ( url , parse_dates = [ " date " ]). set_index ( " date " )

sep , octo = df . loc [ " 2026-09-30 " ], df .…