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Stellar · Sigma Moves

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

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Latest closed period

Stellar's latest move against its own history.

10 November 2024 · Daily
XLM Rare +6.07% +2.72σ About once every 40 days 46 comparable moves / 1,827 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 +0.00%

Completed observations: 35

Middle 50%
-2.14% … +1.84%
Positive returns
49%

+7 d

Median return +0.49%

Completed observations: 35

Middle 50%
-4.13% … +8.04%
Positive returns
57%

+30 d

Median return -2.50%

Completed observations: 35

Middle 50%
-10.33% … +11.38%
Positive returns
37%

Every rare move, in context

Instrument: binance:spot:XLMUSDT

DateσMoveObserved rarity+1 d+7 d+30 d
10 Nov 2024 +2.72σ +6.07% About once every 40 days46 comparable moves / 1,827 observations +5.81% +81.18% +302.68%
7 Nov 2024 +2.61σ +5.26% About once every 35 days52 comparable moves / 1,827 observations -0.88% +28.50% +393.44%
1 Oct 2024 -2.56σ -4.67% About once every 32 days58 comparable moves / 1,827 observations -3.62% -4.15% -1.60%
7 Aug 2024 +2.93σ +9.73% About once every 46 days40 comparable moves / 1,827 observations +1.58% -4.83% -13.30%
13 Jul 2024 +3.90σ +12.05% About once every 102 days18 comparable moves / 1,827 observations +2.25% +2.83% -3.32%
7 Jul 2024 -2.95σ -7.40% About once every 48 days38 comparable moves / 1,827 observations +1.79% +24.67% +10.25%
6 Jul 2024 +2.64σ +6.09% About once every 35 days52 comparable moves / 1,827 observations -7.40% +12.91% -2.98%
18 Jun 2024 -2.69σ -5.68% About once every 38 days48 comparable moves / 1,827 observations +2.19% +0.44% +12.80%
7 Jun 2024 -2.57σ -4.84% About once every 33 days56 comparable moves / 1,827 observations -1.90% -3.29% -16.27%
20 May 2024 +2.60σ +6.64% About once every 35 days52 comparable moves / 1,815 observations -0.27% -1.78% -16.98%
12 Apr 2024 -3.64σ -11.60% About once every 85 days21 comparable moves / 1,777 observations -8.51% -2.95% -8.95%
19 Mar 2024 -2.51σ -10.46% About once every 30 days58 comparable moves / 1,753 observations +8.29% +14.42% -8.53%
11 Mar 2024 +3.31σ +12.73% About once every 62 days28 comparable moves / 1,745 observations -5.27% -14.47% -17.70%
5 Mar 2024 -3.03σ -9.39% About once every 51 days34 comparable moves / 1,739 observations +4.77% +12.93% -2.50%
4 Mar 2024 +2.57σ +7.52% About once every 34 days51 comparable moves / 1,738 observations -9.39% +8.02% -13.43%
2 Mar 2024 +4.13σ +8.81% About once every 124 days14 comparable moves / 1,736 observations -1.88% +2.82% -2.02%
3 Jan 2024 -2.80σ -6.66% About once every 44 days38 comparable moves / 1,677 observations +0.91% +0.25% -8.38%
11 Dec 2023 -3.68σ -7.43% About once every 97 days17 comparable moves / 1,654 observations -0.24% -1.70% -2.11%
21 Nov 2023 -2.53σ -5.26% About once every 33 days49 comparable moves / 1,634 observations +4.23% +4.50% +9.96%
13 Jul 2023 +15.36σ +61.50% Not previously observed in 4 years0 comparable moves / 1,503 observations -13.02% +5.15% -11.15%

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.