+1 sessions
Median return +0.39%Completed observations: 36
- Middle 50%
- -0.49% … +1.03%
- Positive returns
- 58%
Walmart · Sigma Moves
Closed-period price moves, measured against their own history. One engine. Five markets. No forecasts.
Latest closed period
Walmart's latest move against its own history.
WMT Below threshold
+0.90%
+0.55σ
Common move: this size or larger in 53% of observations
662 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 +1.11%Completed observations: 36
- Middle 50%
- -0.17% … +3.26%
- Positive returns
- 69%
+30 sessions
Median return +1.47%Completed observations: 36
- Middle 50%
- -2.01% … +4.98%
- Positive returns
- 64%
Every rare move, in context
Instrument: WMT (price return)
| Date | σ | Move | Observed rarity | +1 sessions | +7 sessions | +30 sessions |
|---|---|---|---|---|---|---|
| 20 Aug 2026 | -7.71σ | -9.15% | 3 times in 5 years3 comparable moves / 1,254 observations | -0.13% | +0.99% | +0.40% |
| 1 Jul 2026 | -2.51σ | -3.92% | About once every 45 trading sessions28 comparable moves / 1,254 observations | +2.78% | +5.48% | +6.34% |
| 21 May 2026 | -5.22σ | -7.27% | About once every 157 trading sessions8 comparable moves / 1,255 observations | -0.88% | -6.82% | -8.08% |
| 8 Apr 2026 | +2.51σ | +3.89% | About once every 43 trading sessions29 comparable moves / 1,255 observations | +1.47% | +0.19% | +2.82% |
| 7 Apr 2026 | -2.65σ | -3.39% | About once every 45 trading sessions28 comparable moves / 1,255 observations | +3.89% | +1.90% | +9.56% |
| 2 Feb 2026 | +3.57σ | +4.13% | About once every 84 trading sessions15 comparable moves / 1,255 observations | +2.94% | +3.80% | +0.82% |
| 20 Nov 2025 | +6.10σ | +6.46% | About once every 251 trading sessions5 comparable moves / 1,255 observations | -1.67% | +4.95% | +6.75% |
| 14 Oct 2025 | +5.58σ | +4.98% | About once every 179 trading sessions7 comparable moves / 1,255 observations | +1.70% | -0.33% | -0.20% |
| 21 Aug 2025 | -3.90σ | -4.49% | About once every 105 trading sessions12 comparable moves / 1,255 observations | -1.15% | -0.11% | +4.20% |
| 6 Aug 2025 | +4.58σ | +4.08% | About once every 179 trading sessions7 comparable moves / 1,255 observations | -0.23% | -3.25% | +0.23% |
| 9 Apr 2025 | +4.16σ | +9.55% | About once every 140 trading sessions9 comparable moves / 1,256 observations | +1.13% | +3.14% | +7.06% |
| 20 Feb 2025 | -6.06σ | -6.53% | About once every 210 trading sessions6 comparable moves / 1,257 observations | -2.50% | +0.39% | -10.24% |
| 27 Jan 2025 | +2.68σ | +2.79% | About once every 45 trading sessions28 comparable moves / 1,257 observations | -0.11% | +5.20% | -10.23% |
| 19 Nov 2024 | +3.31σ | +3.00% | About once every 79 trading sessions16 comparable moves / 1,258 observations | +0.67% | +6.81% | +4.83% |
| 15 Aug 2024 | +6.44σ | +6.58% | 4 times in 5 years4 comparable moves / 1,258 observations | +0.37% | +3.89% | +9.02% |
| 16 May 2024 | +8.78σ | +6.99% | 2 times in 5 years2 comparable moves / 1,259 observations | +1.00% | +1.61% | +5.42% |
| 20 Feb 2024 | +4.01σ | +3.23% | About once every 126 trading sessions10 comparable moves / 1,258 observations | -1.23% | -0.02% | +1.38% |
| 16 Nov 2023 | -10.39σ | -8.09% | Not previously observed in 5 years0 comparable moves / 1,257 observations | -0.44% | +1.67% | +2.08% |
| 17 Aug 2023 | -3.48σ | -2.24% | About once every 90 trading sessions14 comparable moves / 1,257 observations | +1.44% | +1.95% | +2.72% |
| 7 Jul 2023 | -3.00σ | -2.30% | About once every 79 trading sessions16 comparable moves / 1,257 observations | +0.91% | +0.70% | +2.89% |
| 30 Jun 2023 | +2.65σ | +1.88% | About once every 43 trading sessions29 comparable moves / 1,257 observations | +0.65% | -1.36% | +1.79% |
| 15 Nov 2022 | +4.40σ | +6.54% | About once every 126 trading sessions10 comparable moves / 1,258 observations | +0.72% | +3.82% | -3.59% |
| 16 Aug 2022 | +2.51σ | +5.11% | About once every 35 trading sessions35 comparable moves / 1,224 observations | +0.11% | -2.51% | -4.49% |
| 26 Jul 2022 | -5.81σ | -7.60% | About once every 202 trading sessions6 comparable moves / 1,209 observations | +3.78% | +2.94% | +11.28% |
| 17 May 2022 | -10.28σ | -11.38% | 2 times in 5 years2 comparable moves / 1,162 observations | -6.79% | -4.07% | -7.44% |
| 17 Feb 2022 | +4.01σ | +4.01% | About once every 110 trading sessions10 comparable moves / 1,101 observations | -0.64% | -2.08% | +8.73% |
| 17 Dec 2021 | -2.65σ | -3.20% | About once every 37 trading sessions29 comparable moves / 1,059 observations | +0.32% | +2.85% | +1.56% |
| 16 Nov 2021 | -3.53σ | -2.55% | About once every 74 trading sessions14 comparable moves / 1,037 observations | -0.86% | +1.21% | +0.00% |
| 19 Oct 2021 | +2.77σ | +2.12% | About once every 46 trading sessions22 comparable moves / 1,017 observations | +0.91% | +2.60% | -5.22% |
| 10 Aug 2021 | +2.79σ | +2.13% | About once every 46 trading sessions21 comparable moves / 968 observations | +0.89% | +0.96% | -4.03% |
| 5 Aug 2021 | +2.70σ | +1.86% | About once every 40 trading sessions24 comparable moves / 965 observations | -0.18% | +3.62% | -0.52% |
| 30 Jun 2021 | +3.02σ | +2.71% | About once every 67 trading sessions14 comparable moves / 940 observations | -1.21% | -0.69% | +5.70% |
| 16 Jun 2021 | -2.76σ | -2.04% | About once every 47 trading sessions20 comparable moves / 930 observations | +0.42% | +1.01% | +3.71% |
| 12 May 2021 | -2.94σ | -2.59% | About once every 57 trading sessions16 comparable moves / 906 observations | +1.69% | +4.27% | +0.71% |
| 18 Feb 2021 | -6.80σ | -6.48% | 3 times in 3 years3 comparable moves / 848 observations | +0.49% | -4.57% | -1.48% |
| 27 Jan 2021 | -2.87σ | -2.49% | About once every 56 trading sessions15 comparable moves / 833 observations | -0.06% | +0.36% | -8.14% |
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.