Concept

Volatility Percentile/rank

Volatility Percentile/rank, also known as HV rank, ATR percentile, is a Volatility concept. The Library holds 5 implementations, each one a working definition you can pull into Quant.

Top Volatility Percentile/rank indicators

5 total

What is Volatility Percentile/Rank?

Volatility percentile/rank normalizes a volatility measure against its own history. Take any gauge, such as ATR or close-to-close historical volatility, and ask where the current reading sits within a lookback window. The percentile version reports the share of past readings at or below today's; the rank version scales today's reading between the window's minimum and maximum. Both compress raw volatility onto a 0 to 100 scale that means the same thing on any symbol and any timeframe.

The construction is borrowed from the options world, where IV rank and IV percentile normalize implied volatility over the trailing year, and it is applied to realized measures for the same reason: a 2% daily range is sleepy for one instrument and violent for another, so absolute numbers do not travel. Low percentiles flag compression, which often precedes expansion but does not schedule it; high percentiles flag stress that has tended historically to subside, though it can persist.

How traders use it

  • As a strategy gate: breakout systems often require a low volatility percentile (compression) before arming entries, while mean-reversion systems may trade only when the percentile is elevated, matching each edge to the regime it was built for.
  • As a screener: because the scale is normalized, percentiles can be compared across an entire watchlist to surface the most compressed or most stressed markets at a glance.
  • As a sizing input: volatility-targeted sizing and stop-width rules read normalized volatility to scale positions down when a market runs hot and up when it is quiet.

More Volatility Percentile/rank implementations

Related concepts · Volatility estimators

Concept family

Volatility

56 concepts mapped · 43 in the Library

Volatility Percentile/rank FAQ

What is the difference between volatility rank and volatility percentile?

Rank scales the current reading between the lookback's minimum and maximum, so a single extreme spike stretches the scale and depresses every later rank until it leaves the window. Percentile counts the share of readings at or below today's, so one outlier shifts it by only one observation. Percentile is generally the more robust of the two.

Does a low volatility percentile mean a breakout is coming?

It means conditions are compressed relative to that market's own recent history, and compression often precedes expansion because volatility tends to cycle between quiet and active phases. It does not say when the expansion starts or which way it resolves. Most traders treat a low percentile as a condition filter that arms other setups, not as a signal on its own.

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