+1 sessions
Median return -0.92%Completed observations: 26
- Middle 50%
- -4.84% … +2.90%
- Positive returns
- 42%
Hims & Hers Health · Sigma Moves
Closed-period price moves, measured against their own history. One engine. Five markets. No forecasts.
Latest closed period
Hims & Hers Health's latest move against its own history.
HIMS Below threshold
+0.24%
+0.06σ
Common move: this size or larger in 93% of observations
1162 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 +8.18%Completed observations: 26
- Middle 50%
- -12.57% … +20.36%
- Positive returns
- 62%
+30 sessions
Median return +15.03%Completed observations: 26
- Middle 50%
- -0.77% … +33.06%
- Positive returns
- 73%
Every rare move, in context
Instrument: HIMS (price return)
| Date | σ | Move | Observed rarity | +1 sessions | +7 sessions | +30 sessions |
|---|---|---|---|---|---|---|
| 29 Jul 2026 | -2.76σ | -14.73% | About once every 39 trading sessions32 comparable moves / 1,254 observations | +8.16% | +26.36% | +9.76% |
| 24 Jul 2026 | -3.37σ | -14.20% | About once every 105 trading sessions12 comparable moves / 1,254 observations | +7.65% | +14.49% | -1.35% |
| 12 May 2026 | -2.59σ | -14.10% | About once every 32 trading sessions39 comparable moves / 1,255 observations | -3.56% | -4.08% | +30.68% |
| 9 Mar 2026 | +6.54σ | +40.79% | 2 times in 5 years2 comparable moves / 1,255 observations | +5.91% | +4.47% | +34.30% |
| 2 Mar 2026 | +2.60σ | +13.50% | About once every 35 trading sessions36 comparable moves / 1,255 observations | -4.00% | +57.04% | +29.61% |
| 9 Feb 2026 | -4.49σ | -16.03% | 4 times in 5 years4 comparable moves / 1,255 observations | -10.81% | -18.16% | +10.40% |
| 30 Jan 2026 | -2.89σ | -9.31% | About once every 52 trading sessions24 comparable moves / 1,255 observations | -2.40% | -36.36% | -8.16% |
| 17 Oct 2025 | -2.93σ | -15.84% | About once every 55 trading sessions23 comparable moves / 1,255 observations | +3.17% | -5.34% | -24.65% |
| 15 Oct 2025 | +3.17σ | +16.18% | About once every 78 trading sessions16 comparable moves / 1,255 observations | -5.75% | -22.28% | -38.81% |
| 23 Jun 2025 | -7.89σ | -34.63% | Not previously observed in 5 years0 comparable moves / 1,197 observations | +2.31% | +13.05% | +32.25% |
| 29 Apr 2025 | +3.18σ | +23.03% | About once every 73 trading sessions16 comparable moves / 1,160 observations | -5.54% | +46.69% | +64.27% |
| 21 Feb 2025 | -3.77σ | -25.79% | About once every 111 trading sessions10 comparable moves / 1,114 observations | +4.12% | -17.84% | -47.26% |
| 13 Feb 2025 | +4.87σ | +27.71% | 4 times in 4 years4 comparable moves / 1,109 observations | +2.18% | -32.65% | -50.76% |
| 14 Nov 2024 | -4.05σ | -24.46% | About once every 150 trading sessions7 comparable moves / 1,049 observations | -7.34% | +50.36% | +20.72% |
| 11 Nov 2024 | +2.91σ | +19.09% | About once every 50 trading sessions21 comparable moves / 1,046 observations | -4.27% | -21.84% | +0.97% |
| 30 Oct 2024 | -3.12σ | -14.39% | About once every 80 trading sessions13 comparable moves / 1,038 observations | -1.10% | +22.95% | +58.04% |
| 3 Oct 2024 | -2.97σ | -9.60% | About once every 64 trading sessions16 comparable moves / 1,019 observations | +3.09% | +19.67% | +21.72% |
| 1 Aug 2024 | -2.87σ | -12.85% | About once every 46 trading sessions21 comparable moves / 975 observations | -5.02% | -13.72% | -10.48% |
| 20 May 2024 | +6.16σ | +27.66% | 1 times in 4 years1 comparable moves / 925 observations | -5.59% | +9.52% | +10.16% |
| 3 May 2024 | -2.66σ | -8.01% | About once every 35 trading sessions26 comparable moves / 914 observations | +3.46% | +22.02% | +114.48% |
| 27 Feb 2024 | +7.50σ | +31.02% | Not previously observed in 3 years0 comparable moves / 867 observations | -0.74% | +6.85% | +8.34% |
| 6 Feb 2024 | +3.27σ | +10.05% | About once every 95 trading sessions9 comparable moves / 853 observations | +0.21% | +6.69% | +74.95% |
| 2 Jan 2024 | +3.02σ | +8.31% | About once every 75 trading sessions11 comparable moves / 829 observations | -6.12% | -9.13% | +3.63% |
| 7 Nov 2023 | +3.90σ | +10.99% | About once every 158 trading sessions5 comparable moves / 792 observations | +0.72% | +10.62% | +19.66% |
| 3 Nov 2023 | +2.90σ | +6.58% | About once every 56 trading sessions14 comparable moves / 790 observations | -3.09% | +13.58% | +33.33% |
| 27 Oct 2023 | -2.87σ | -4.93% | About once every 52 trading sessions15 comparable moves / 785 observations | +0.00% | +20.59% | +52.25% |
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.