+1 sessions
Median return +2.78%Completed observations: 15
- Middle 50%
- -0.36% … +10.26%
- Positive returns
- 73%
AST SpaceMobile · Sigma Moves
Closed-period price moves, measured against their own history. One engine. Five markets. No forecasts.
Latest closed period
AST SpaceMobile's latest move against its own history.
ASTS Below threshold
-3.91%
-0.90σ
Common move: this size or larger in 33% of observations
414 comparable moves / 1,254 observations
What happened afterwards
All history-qualified moves of at least 2.5σ. Results after the event are descriptive statistics, not trading instructions.
+7 sessions
Median return +4.98%Completed observations: 15
- Middle 50%
- -4.97% … +10.08%
- Positive returns
- 67%
+30 sessions
Median return +24.88%Completed observations: 15
- Middle 50%
- +1.04% … +55.84%
- Positive returns
- 80%
Every rare move, in context
Instrument: ASTS (price return)
| Date | σ | Move | Observed rarity | +1 sessions | +7 sessions | +30 sessions |
|---|---|---|---|---|---|---|
| 16 Jul 2026 | -2.64σ | -17.04% | About once every 55 trading sessions23 comparable moves / 1,254 observations | +5.07% | +5.96% | +11.69% |
| 4 Dec 2025 | +2.84σ | +18.25% | About once every 48 trading sessions26 comparable moves / 1,255 observations | +1.75% | -6.66% | +54.77% |
| 1 Oct 2025 | +2.88σ | +16.01% | About once every 51 trading sessions24 comparable moves / 1,232 observations | +16.19% | +44.06% | +13.26% |
| 4 Jun 2025 | +2.86σ | +13.94% | About once every 48 trading sessions24 comparable moves / 1,150 observations | +7.53% | +33.74% | +102.09% |
| 9 Apr 2025 | +2.74σ | +18.92% | About once every 46 trading sessions24 comparable moves / 1,112 observations | -4.14% | -13.98% | +1.12% |
| 23 Jan 2025 | -2.58σ | -11.96% | About once every 38 trading sessions28 comparable moves / 1,059 observations | +2.78% | +8.43% | +68.69% |
| 15 Aug 2024 | +4.99σ | +50.70% | About once every 158 trading sessions6 comparable moves / 950 observations | -1.05% | +7.72% | -19.26% |
| 25 Jul 2024 | +2.93σ | +24.55% | About once every 45 trading sessions21 comparable moves / 935 observations | +13.22% | +11.72% | +56.91% |
| 29 May 2024 | +4.01σ | +69.23% | About once every 112 trading sessions8 comparable moves / 896 observations | -6.76% | -4.43% | +44.24% |
| 16 May 2024 | +9.69σ | +68.62% | 2 times in 4 years2 comparable moves / 888 observations | +12.66% | +32.26% | +168.98% |
| 2 Apr 2024 | -5.36σ | -23.57% | 4 times in 3 years4 comparable moves / 856 observations | +15.42% | +4.98% | +24.88% |
| 8 Feb 2024 | +2.68σ | +22.07% | About once every 43 trading sessions19 comparable moves / 820 observations | +7.86% | +4.40% | -13.21% |
| 19 Jan 2024 | -4.62σ | -25.72% | About once every 161 trading sessions5 comparable moves / 806 observations | +0.32% | -5.50% | +0.97% |
| 2 Jan 2024 | -3.99σ | -19.57% | About once every 159 trading sessions5 comparable moves / 794 observations | +1.65% | -11.96% | -31.55% |
| 15 Nov 2023 | +3.90σ | +23.61% | About once every 127 trading sessions6 comparable moves / 763 observations | -1.93% | +2.15% | +29.40% |
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.