Skip to content

Euro / U.S. Dollar · Sigma Moves

Closed-period price moves, measured against their own history. One engine. Five markets. No forecasts.

Set an alert

Latest closed period

Euro / U.S. Dollar's latest move against its own history.

20 August 2026 · Daily Updated 16:14 UTC
EURUSD Very rare +0.81% +3.19σ About once every 93 trading sessions 14 comparable moves / 1,295 observations

What happened afterwards

All history-qualified moves of at least 2.5σ. Results after the event are descriptive statistics, not trading instructions.

+1 sessions

Median return -0.07%

Completed observations: 44

Middle 50%
-0.26% … +0.29%
Positive returns
43%

+7 sessions

Median return +0.05%

Completed observations: 44

Middle 50%
-0.74% … +0.78%
Positive returns
52%

+30 sessions

Median return -0.27%

Completed observations: 44

Middle 50%
-1.53% … +1.38%
Positive returns
45%

Every rare move, in context

Instrument: EURUSD=X (price return)

DateσMoveObserved rarity+1 sessions+7 sessions+30 sessions
20 Aug 2026 +3.19σ +0.81% About once every 93 trading sessions14 comparable moves / 1,295 observations +0.12% -0.73% -2.97%
30 Jul 2026 +2.80σ +0.71% About once every 59 trading sessions22 comparable moves / 1,295 observations +0.49% +0.78% +1.45%
18 Jun 2026 -3.19σ -0.88% About once every 93 trading sessions14 comparable moves / 1,295 observations -0.42% -1.06% -0.35%
8 Jun 2026 -2.92σ -0.78% About once every 65 trading sessions20 comparable moves / 1,295 observations +0.05% +0.76% -0.82%
8 Apr 2026 +2.66σ +1.26% About once every 46 trading sessions28 comparable moves / 1,295 observations -0.23% +0.82% -0.68%
28 Jan 2026 +3.06σ +1.19% About once every 86 trading sessions15 comparable moves / 1,295 observations -0.33% -2.00% -3.38%
26 Jan 2026 +2.56σ +0.88% About once every 43 trading sessions30 comparable moves / 1,295 observations +0.15% -0.36% -2.83%
21 Jan 2026 +3.22σ +0.76% About once every 93 trading sessions14 comparable moves / 1,295 observations -0.47% +2.03% -0.99%
11 Dec 2025 +2.68σ +0.63% About once every 52 trading sessions25 comparable moves / 1,299 observations +0.33% +0.06% +2.70%
4 Aug 2025 +2.73σ +1.43% About once every 54 trading sessions24 comparable moves / 1,299 observations -0.02% +0.78% +1.21%
29 Jul 2025 -3.77σ -1.36% About once every 217 trading sessions6 comparable moves / 1,299 observations -0.40% +0.57% +1.49%
11 Apr 2025 +4.76σ +2.79% 1 times in 5 years1 comparable moves / 1,302 observations +0.76% +1.01% +0.70%
6 Mar 2025 +2.63σ +1.58% About once every 48 trading sessions27 comparable moves / 1,302 observations -0.06% +0.80% +5.58%
5 Mar 2025 +2.62σ +1.35% About once every 48 trading sessions27 comparable moves / 1,302 observations +1.58% +2.15% +6.26%
3 Feb 2025 -3.34σ -1.44% About once every 118 trading sessions11 comparable moves / 1,303 observations +0.78% +1.14% +6.18%
21 Jan 2025 +3.35σ +1.39% About once every 145 trading sessions9 comparable moves / 1,303 observations -0.14% +0.04% +0.62%
19 Dec 2024 -3.53σ -1.38% About once every 163 trading sessions8 comparable moves / 1,305 observations +0.14% +0.76% -0.99%
7 Nov 2024 -6.04σ -1.84% Not previously observed in 5 years0 comparable moves / 1,305 observations +0.58% -1.86% -3.57%
5 Aug 2024 +4.49σ +1.14% 1 times in 5 years1 comparable moves / 1,305 observations +0.37% +0.79% +1.63%
10 Jun 2024 -3.66σ -1.06% About once every 218 trading sessions6 comparable moves / 1,305 observations -0.14% -0.34% +1.12%

The number has a method behind it

Sigma measures the size of a log return relative to volatility estimated before the period. Rarity is counted from actual historical standardized moves, not inferred from a normal distribution.

σt = ln(Ct / Ct−1) / vtvt ← t−1, t−2, …

Volatility adapts to the market regime with EWMA (λ = 0.94 for daily and weekly observations). Current-period returns are excluded. Each historical σ uses its own prior volatility.

Both directions count toward rarity. Reference history spans up to five years. A period with no prior exceedances is labelled unprecedented in the observed sample; it is never given an invented recurrence interval.

Stock observations use split-adjusted price returns, without dividend reinvestment. Commodities are explicitly labelled ETF price proxies; they do not represent spot commodity prices.

Questions behind the sigma

What does a 3σ move mean?

The period log return is three times the volatility estimated from earlier periods. Sigma is signed: negative for declines and positive for rises.

Why not calculate rarity from a normal distribution?

Market returns have heavy tails and changing volatility. We count actual past absolute sigma exceedances for the same instrument and period.

Does “once every 200 days” predict the next event?

No. It is the number of historical observed periods divided by comparable moves. Events can cluster and the market regime can change.

How much history is required?

At least three years of valid standardized observations, after a one-year volatility warm-up. This normally requires approximately four years of source history.

Are all instruments directly comparable?

The engine is shared, but each instrument has its own prices, calendar, volatility and reference sample. Commodity cards use explicitly labelled ETF proxies.

What happens on quiet days?

The page shows the largest covered standardized move, the complete rarity scale and recent records. Missing data is reported separately from market calm.

For information only. Historical observations are not investment advice and do not predict future moves. A rare move can be followed by another rare move.