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PAX Gold · Sigma Moves

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

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Latest closed period

PAX Gold's latest move against its own history.

7 October 2026 · Daily Updated 15:06 UTC
PAXG Below threshold -1.21% -1.21σ Common move: this size or larger in 21% of observations 376 comparable moves / 1,826 observations

What happened afterwards

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

+1 d

Median return +0.18%

Completed observations: 26

Middle 50%
-0.29% … +0.95%
Positive returns
54%

+7 d

Median return +0.49%

Completed observations: 26

Middle 50%
-2.31% … +3.45%
Positive returns
65%

+30 d

Median return +2.82%

Completed observations: 25

Middle 50%
-1.02% … +3.97%
Positive returns
68%

Every rare move, in context

Instrument: binance:spot:PAXGUSDT

DateσMoveObserved rarity+1 d+7 d+30 d
28 Sep 2026 -2.90σ -2.80% About once every 43 days42 comparable moves / 1,826 observations +1.27% +0.09% —
19 Aug 2026 +2.77σ +3.71% About once every 37 days49 comparable moves / 1,816 observations +0.38% +2.65% -2.82%
5 Aug 2026 +4.91σ +5.00% 2 times in 5 years2 comparable moves / 1,802 observations -0.55% +3.22% +3.74%
11 Jun 2026 +2.58σ +4.02% About once every 30 days59 comparable moves / 1,747 observations -0.07% -0.72% -2.68%
10 Jun 2026 -3.32σ -3.94% About once every 65 days27 comparable moves / 1,746 observations +4.02% +5.46% +1.51%
5 Jun 2026 -3.22σ -3.03% About once every 54 days32 comparable moves / 1,741 observations -0.49% -2.52% -3.28%
30 Jan 2026 -5.24σ -10.13% 1 times in 4 years1 comparable moves / 1,615 observations -1.72% +0.36% +10.40%
28 Jan 2026 +4.68σ +6.71% 2 times in 4 years2 comparable moves / 1,613 observations -1.12% -9.21% -4.53%
22 Jan 2026 +3.38σ +3.75% About once every 80 days20 comparable moves / 1,607 observations +0.55% +10.03% +3.25%
20 Jan 2026 +2.71σ +2.62% About once every 35 days46 comparable moves / 1,605 observations -0.14% +8.04% +3.97%
29 Dec 2025 -4.78σ -4.07% 1 times in 4 years1 comparable moves / 1,583 observations -0.09% +1.86% +26.97%
22 Dec 2025 +3.80σ +2.70% About once every 175 days9 comparable moves / 1,576 observations +1.03% -2.69% +7.03%
21 Oct 2025 -3.49σ -6.09% About once every 101 days15 comparable moves / 1,514 observations -0.16% -3.17% -0.57%
17 Oct 2025 -3.06σ -4.46% About once every 52 days29 comparable moves / 1,510 observations +0.09% -3.03% -3.49%
16 Oct 2025 +4.51σ +4.68% 2 times in 4 years2 comparable moves / 1,509 observations -4.46% -7.20% -7.73%
13 Oct 2025 +3.29σ +2.60% About once every 72 days21 comparable moves / 1,506 observations +0.85% +5.37% +0.88%
29 Sep 2025 +2.72σ +1.90% About once every 39 days38 comparable moves / 1,492 observations +0.73% +3.52% +2.82%
22 Sep 2025 +2.56σ +1.79% About once every 32 days47 comparable moves / 1,485 observations +0.44% +2.39% +8.89%
1 Aug 2025 +3.32σ +2.15% About once every 72 days20 comparable moves / 1,433 observations -0.08% +0.62% +2.84%
10 Apr 2025 +2.75σ +3.78% About once every 37 days36 comparable moves / 1,320 observations +1.52% +4.07% +3.45%

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.