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Hong Kong 50 (Hang Seng) · Sigma Moves

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

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Latest closed period

Hong Kong 50 (Hang Seng)'s latest move against its own history.

8 October 2026 · Daily Updated 15:06 UTC
HSI Below threshold -1.43% -1.50σ About once every 8 trading sessions 162 comparable moves / 1,227 observations

What happened afterwards

All history-qualified moves of at least 2.5σ. Results after the event are descriptive statistics, not trading instructions.

+1 sessions

Median return +0.06%

Completed observations: 38

Middle 50%
-0.56% … +0.97%
Positive returns
55%

+7 sessions

Median return +0.89%

Completed observations: 37

Middle 50%
-2.87% … +3.74%
Positive returns
54%

+30 sessions

Median return +0.79%

Completed observations: 37

Middle 50%
-5.84% … +5.05%
Positive returns
54%

Every rare move, in context

Instrument: ^HSI (price return)

DateσMoveObserved rarity+1 sessions+7 sessions+30 sessions
2 Oct 2026 -3.32σ -2.60% About once every 205 trading sessions6 comparable moves / 1,227 observations +0.28% — —
8 Jul 2026 +2.50σ +2.99% About once every 38 trading sessions32 comparable moves / 1,226 observations -0.70% +1.50% +5.35%
23 Mar 2026 -2.77σ -3.54% About once every 53 trading sessions23 comparable moves / 1,227 observations +2.79% +3.74% +8.25%
28 Jan 2026 +2.77σ +2.58% About once every 53 trading sessions23 comparable moves / 1,228 observations +0.51% -4.55% -7.16%
2 Jan 2026 +2.83σ +2.76% About once every 58 trading sessions21 comparable moves / 1,228 observations +0.03% +1.94% +0.87%
13 Aug 2025 +2.73σ +2.58% About once every 51 trading sessions24 comparable moves / 1,228 observations -0.37% -1.07% +3.53%
7 Apr 2025 -9.21σ -13.22% Not previously observed in 5 years0 comparable moves / 1,227 observations +1.51% +6.20% +19.03%
21 Feb 2025 +2.59σ +3.99% About once every 41 trading sessions30 comparable moves / 1,229 observations -0.58% -2.28% -15.54%
14 Feb 2025 +2.65σ +3.69% About once every 46 trading sessions27 comparable moves / 1,229 observations -0.02% +1.83% +3.56%
8 Oct 2024 -4.31σ -9.41% Not previously observed in 5 years0 comparable moves / 1,231 observations -1.38% -0.59% -5.84%
2 Oct 2024 +3.20σ +6.20% About once every 123 trading sessions10 comparable moves / 1,230 observations -1.47% -6.02% -13.40%
26 Sep 2024 +2.92σ +4.16% About once every 72 trading sessions17 comparable moves / 1,230 observations +3.55% +5.03% +2.52%
24 Sep 2024 +3.81σ +4.13% 1 times in 5 years1 comparable moves / 1,230 observations +0.68% +19.66% +10.28%
19 Jun 2024 +2.55σ +2.87% About once every 35 trading sessions35 comparable moves / 1,232 observations -0.52% -3.86% -6.11%
17 Jan 2024 -2.97σ -3.71% About once every 77 trading sessions16 comparable moves / 1,230 observations +0.75% +4.42% +8.59%
15 Nov 2023 +2.86σ +3.92% About once every 62 trading sessions20 comparable moves / 1,230 observations -1.36% -2.87% -5.71%
25 Jul 2023 +2.81σ +4.10% About once every 47 trading sessions26 comparable moves / 1,231 observations -0.36% -0.07% -5.07%
2 Jun 2023 +3.11σ +4.02% About once every 82 trading sessions15 comparable moves / 1,231 observations +0.84% +3.02% +0.35%
1 Mar 2023 +3.18σ +4.21% About once every 112 trading sessions11 comparable moves / 1,231 observations -0.92% -6.30% +0.79%
11 Nov 2022 +2.89σ +7.74% About once every 68 trading sessions18 comparable moves / 1,232 observations +1.70% +0.57% +13.09%

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.