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Zcash · Sigma Moves

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

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Latest closed period

Zcash's latest move against its own history.

22 May 2025 · Daily
ZEC Very rare +13.99% +3.97σ About once every 183 days 10 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 +0.36%

Completed observations: 29

Middle 50%
-1.07% … +3.77%
Positive returns
59%

+7 d

Median return -0.13%

Completed observations: 29

Middle 50%
-4.84% … +6.95%
Positive returns
48%

+30 d

Median return -3.75%

Completed observations: 29

Middle 50%
-12.54% … +20.88%
Positive returns
48%

Every rare move, in context

Instrument: binance:spot:ZECUSDT

DateσMoveObserved rarity+1 d+7 d+30 d
22 May 2025 +3.97σ +13.99% About once every 183 days10 comparable moves / 1,826 observations -4.21% +8.64% -19.30%
13 Apr 2025 -2.71σ -10.88% About once every 37 days50 comparable moves / 1,826 observations +0.32% -0.13% +40.21%
25 Mar 2025 +2.54σ +12.55% About once every 33 days56 comparable moves / 1,826 observations +6.87% +11.31% -6.11%
2 Feb 2025 -3.20σ -15.14% About once every 66 days27 comparable moves / 1,779 observations +6.74% -2.32% +5.48%
9 Dec 2024 -3.50σ -21.19% About once every 96 days18 comparable moves / 1,724 observations +0.36% -3.54% -14.15%
2 Dec 2024 +3.60σ +24.23% About once every 132 days13 comparable moves / 1,717 observations -1.86% -21.54% -21.95%
16 Nov 2024 +3.26σ +16.86% About once every 74 days23 comparable moves / 1,701 observations -1.07% +8.54% +25.50%
6 Nov 2024 +3.33σ +13.16% About once every 77 days22 comparable moves / 1,691 observations +1.92% -10.57% +62.72%
27 Oct 2024 +2.78σ +11.05% About once every 42 days40 comparable moves / 1,681 observations -0.16% -3.02% +33.51%
10 Oct 2024 +4.50σ +16.40% About once every 277 days6 comparable moves / 1,664 observations +7.30% +6.77% +36.13%
9 Aug 2024 +2.73σ +13.87% About once every 39 days41 comparable moves / 1,602 observations +1.18% +3.80% -32.05%
4 Jul 2024 -4.29σ -11.54% About once every 261 days6 comparable moves / 1,566 observations -0.54% +31.52% +72.72%
24 May 2024 +2.81σ +9.55% About once every 44 days35 comparable moves / 1,525 observations -3.03% -2.81% -29.41%
13 Apr 2024 -2.61σ -11.84% About once every 35 days42 comparable moves / 1,484 observations +7.28% +13.48% +8.35%
12 Apr 2024 -3.60σ -12.41% About once every 135 days11 comparable moves / 1,483 observations -11.84% -4.22% -3.75%
2 Mar 2024 +2.71σ +12.02% About once every 38 days38 comparable moves / 1,442 observations -4.50% +3.48% -12.54%
6 Feb 2024 -3.12σ -10.06% About once every 59 days24 comparable moves / 1,417 observations +8.32% +8.38% +77.11%
10 Jan 2024 +2.82σ +13.48% About once every 43 days32 comparable moves / 1,390 observations +9.50% +2.73% -5.47%
3 Jan 2024 -2.54σ -9.28% About once every 35 days40 comparable moves / 1,383 observations -3.44% -10.87% -11.83%
29 Dec 2023 -3.56σ -10.19% About once every 125 days11 comparable moves / 1,378 observations -0.07% -17.84% -22.62%

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.