Exness spreads: the public reading and your own screen — Namibia

Measured spreads — all 23 instruments in one table

Typical = the median of all readings. The min–p90 strip shows how far the spread stretched under load; a stable in sample badge means the spread never moved across the whole sample — on Exness Standard many instruments are quoted with stable target spreads, so identical min, median and p90 is expected there, not an error. Forex pairs are quoted in pips; metals, indices, energy and crypto in points — the cost column converts each instrument into the dollar cost of opening the selected lot size at the typical spread. Confidence dots: ●●● at least 2,000 readings, ●● at least 800, ● below that — treat single-dot rows as indicative. Dollar costs differ in magnitude because contract sizes differ: 1 lot of JP225 (Nikkei 225) is a contract of just 1 — a fraction of other instruments’ notional — so a cost of a few cents per lot is genuine, not an error; the “cost vs daily move” column is the fair cross-instrument comparison. Server Exness-MT5Trial11, captured 06 Sep 2026, 07:46 server time.

Spread through the day

Holding overnight — measured swaps

Values shown per 0.1 lot — the lot toggle above rescales this table too.

Read from the platform’s contract specifications at the same capture (2026-09-06). Negative = a nightly charge, positive = a nightly credit; on the triple-swap day three nights are applied at once. “Held 5 nights” counts 7 charges where the instrument has a triple-swap day — a Monday→Saturday hold crosses it once; energies (US Oil, UK Oil) have no triple day, so five nights mean five charges — the realistic cost of a week-long position, not the per-night teaser. See swap rates for how swaps work.

“From 0.0 pips” — which account is that, really?

The advertised “from 0.0” belongs to the Raw Spread account, which adds a fixed commission per side. This page measures the Standard account — the fair comparison is the all-in cost per trade:

Median spread, capture by capture (44 captures)

One capture per day from the same MT5 feed. A narrow range means the median spread held steady across the period. Spreads may fluctuate and widen due to volatility, news, and market conditions.

How this was measured

What a public reading is for

A published figure answers a question that has the same answer for every reader: what was quoted, on what, when. Because nobody had to identify themselves for it to be produced, it can be checked by anyone against anything, and that is its entire value. It is a shared reference point rather than a forecast of one person's screen.

The tables below are that reference point. They can be read, compared and argued with from the first door, with nothing installed and nothing registered, and everything needed to interpret them — the instrument, the capture and the account type measured — is stated alongside them.

What only appears once there is a screen of your own

The moment a terminal is connected, a second reading exists that no publication can contain: the quote attached to that account, on that instrument, at that instant. It is not a better or worse version of the public figure — it is a different object, produced for one account rather than for the record.

This is why the honest use of a public reading is as an expectation rather than a promise. It tells you the order of magnitude to expect and what to be surprised by; confirming it is something only your own window can do, and only once that window exists.

The order that makes both readings useful

Read the public figures first, because they cost nothing to obtain and they are the only ones available before an account exists. Note what they say and what they deliberately do not: a measurement taken on one account type describes that account type.

Then, once a window of your own is open, compare rather than replace. The public reading is the benchmark; the private one is the observation. Keeping the two apart is what makes a difference between them informative instead of confusing.

Related Exness pages