Editing Openai/695a4d49-630c-8000-8160-376e95b20d27 (section)

=== Assistant: Here’s what I understand your backtest setup to be with the few implicit assumptions made explicit so you can sanity-ch… ===
Here’s what I understand your backtest setup to be (with the few implicit assumptions made explicit so you can sanity-check them):

==== Backtest parameters (as I will run them) ====
* Instrument: VUSA — Vanguard S&P 500 UCITS ETF (EUR-denominated, European listing)
* Currency: EUR throughout (no FX conversions)
* Initial investment: €10,000 on Feb 1, 2021
* Recurring contribution: €100 every month into the same ETF - Timing convention I’ll use: contribution occurs on the 1st calendar day of each month, or if markets are closed, on the next trading day. - Start month: I will assume the first €100 recurring buy is Mar 1, 2021 (i.e., “then every month” after the initial lump sum).
* Dividends: 100% reinvested (i.e., total-return style) - I’ll implement this using adjusted prices / total return series where available, so dividends are automatically reflected in the “value” path.

==== Output you want ====
* “Current portfolio value” in EUR as of the latest available market close (i.e., most recent trading day price).

Next step: once you say this matches what you intended, I’ll pull the actual historical data for VUSA (EUR) and compute the portfolio value with dividend reinvestment.