Exness Spread Stability — the Full Measured Distribution (Jordan)
Not just the typical spread — the whole distribution: percentiles from the quietest quote to the worst captured spike, measured on Exness’s MT5 feed. measured 7 Oct · 10:53 +03.
Open Exness Account →Why stability matters
Two accounts can advertise the same ‘typical’ spread and behave very differently under load. A stop-loss, a scalp exit or a news entry is filled at the spread of that moment — not at the median. Spread stability is one of the account features Exness highlights; this table lets a trader verify it on measured data rather than take it on faith.
Spreads may fluctuate and widen due to factors including market volatility, news events, market open/close, and others.
Measured spread distribution (pips; points for non-FX)
| Instrument | Min | p25 | Median | p75 | p90 | p99 | Max | Stdev | p90 ÷ median |
|---|---|---|---|---|---|---|---|---|---|
| EUR/USD | 0.8 | 0.8 | 0.8 | 0.8 | 0.8 | 2.3 | 7.6 | 0.316 | 1.00 |
| GBP/USD | 0.7 | 1 | 1 | 1 | 1 | 6.8 | 14.5 | 0.995 | 1.00 |
| USD/JPY | 1 | 1 | 1 | 1 | 1 | 3.8 | 25 | 1.06 | 1.00 |
| AUD/USD | 0.9 | 0.9 | 0.9 | 0.9 | 0.9 | 4.8 | 6.6 | 0.579 | 1.00 |
| USD/CAD | 1.4 | 1.6 | 1.6 | 1.6 | 1.6 | 2.9 | 4.6 | 0.219 | 1.00 |
| USD/CHF | 1.3 | 1.3 | 1.3 | 1.3 | 1.3 | 1.8 | 4.2 | 0.11 | 1.00 |
| NZD/USD | 1.4 | 1.4 | 1.4 | 1.4 | 1.4 | 6.8 | 8.4 | 0.945 | 1.00 |
| EUR/GBP | 1.3 | 1.3 | 1.3 | 1.3 | 1.3 | 3.8 | 5 | 0.454 | 1.00 |
| EUR/JPY | 1.6 | 1.6 | 1.6 | 1.6 | 1.6 | 7 | 21.9 | 1.108 | 1.00 |
| GBP/JPY | 2.1 | 2.2 | 2.2 | 2.2 | 2.2 | 11.6 | 23.3 | 1.463 | 1.00 |
| AUD/JPY | 1.1 | 1.1 | 1.1 | 1.1 | 1.1 | 4 | 8.3 | 0.524 | 1.00 |
| XAU/USD (Gold) | 24 | 24 | 24 | 24 | 24 | 26 | 34 | 0.251 | 1.00 |
| XAG/USD (Silver) | 2.5 | 2.5 | 2.5 | 2.6 | 2.6 | 3 | 3 | 0.131 | 1.04 |
| US Oil (WTI) | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 1.00 |
| UK Oil (Brent) | 1.1 | 1.3 | 1.3 | 1.3 | 1.3 | 4.1 | 4.5 | 0.649 | 1.00 |
| BTC/USD | 640 | 640 | 640 | 640 | 1000 | 1000 | 1000 | 109.447 | 1.56 |
| ETH/USD | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 1.00 |
| US500 (S&P 500) | 40 | 40 | 40 | 40 | 40 | 40 | 60 | 1.913 | 1.00 |
| US30 (Dow) | 10 | 10 | 10 | 13 | 13 | 13 | 13 | 1.477 | 1.30 |
| USTEC (Nasdaq 100) | 112 | 112 | 112 | 112 | 112 | 112 | 160 | 0.656 | 1.00 |
| DE30 (DAX) | 7 | 7 | 7 | 7 | 7 | 56 | 100 | 8.24 | 1.00 |
| JP225 (Nikkei 225) | 31 | 31 | 31 | 34 | 34 | 34 | 34 | 1.488 | 1.10 |
| UK100 (FTSE 100) | 98 | 98 | 98 | 98 | 98 | 860 | 860 | 104.325 | 1.00 |
p25/p75/p90/p99 = the spread was at or below this value 25/75/90/99% of the sampled time. ‘p90 ÷ median’ close to 1.00 = the spread barely moves; higher values = it stretches under load.
In this sample, US Oil (WTI), ETH/USD, US500 (S&P 500), USTEC (Nasdaq 100) held the same spread from the median all the way to the 99th percentile — the quote traders got 1 time in 2 was the quote they got 99 times in 100.
How this was measured
- Every tick's bid and ask captured in-terminal on Exness's own MT5 feed.
- Percentiles computed over the full sample, not a hand-picked window.
- Rollover and news windows are included — that is what the p99 and Max columns show.
- Figures refresh on a schedule.
Measured in-terminal on Exness’s own MetaTrader 5 pricing feed and symbol specifications, refreshed on a schedule. All figures are indicative and change with market conditions.
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