Volatility & bandsNormalized ATR · NATR
ATR expressed as a percentage of price, so volatility is comparable across instruments and eras.
Works in most conditionsEngine-computed on a fixed sample series
What it is
Normalized ATR, abbreviated NATR, is the Average True Range expressed as a percentage of price rather than in raw dollar or point terms. Ordinary ATR tells you how far, on average, a bar moves in absolute units, but that figure is impossible to compare across instruments — an ATR of 5 is enormous for a 10-dollar stock and trivial for a 2000-dollar one. NATR fixes this by dividing the ATR by the current price and expressing the result as a percentage, so volatility is stated on a common scale regardless of the instrument's nominal price. For a beginner, NATR answers the question: how volatile is this asset in percentage terms, so I can compare it fairly to anything else? It converts the raw magnitude of ATR into a relative measure that lets you rank a watchlist, compare eras, and size positions consistently across differently priced assets. It measures the size of moves, never their direction.
How it is calculated
NATR builds directly on ATR, so the first step is the standard Average True Range. True Range for each bar is the greatest of three quantities: the current high minus the current low, the absolute difference between the current high and the previous close, and the absolute difference between the current low and the previous close — a definition that captures gaps as well as the intrabar range. ATR is then a smoothed average of True Range over a lookback period, conventionally 14, typically using Wilder's smoothing. NATR simply takes that ATR, divides it by the current close, and multiplies by 100 to express it as a percentage of price. So if a stock's 14-period ATR is 3 dollars and it trades at 100 dollars, its NATR is 3 percent, meaning the average bar spans about 3 percent of price. The normalization by price is the only step that distinguishes NATR from ATR, and it is what makes the reading comparable across instruments.
Reading it, step by step
Read NATR as the typical percentage swing of each bar. A NATR of 3 means the average bar covers roughly 3 percent of the current price, and because that figure is a percentage it means the same thing whether the asset trades at 10 or at 1000, letting you compare volatility directly across a watchlist. A rising NATR indicates volatility is expanding — bars are covering a larger share of price — while a falling NATR indicates volatility is contracting and the market is calming. You use the level to screen: high NATR names are the wild ones and low NATR names the placid ones, and you can compare today's NATR against the same instrument's NATR from years ago to judge whether the current regime is unusually calm or turbulent. Crucially, NATR says nothing about direction; a high or rising reading tells you moves are large but not whether price is about to rise or fall.
Best timeframes and settings
The conventional setting is a 14-period ATR underlying the NATR, applied on daily charts, which is the standard for swing and position trading, but NATR works on any timeframe from intraday to weekly with the period scaled to the horizon. A shorter ATR lookback such as 7 makes NATR more responsive to recent volatility shifts, useful for active trading but noisier, while a longer lookback like 21 or 28 smooths the reading and better reflects the persistent volatility regime for position sizing. Because NATR is a percentage, its readings are directly comparable across instruments at the same setting, which is the whole point of the tool. The responsiveness-versus-noise trade-off is inherited from ATR: shorten the period to react faster to volatility changes, lengthen it to get a steadier baseline. Keep the period consistent across the instruments you are comparing, since a NATR computed with different lookbacks is no longer an apples-to-apples measure.
When and where to use it
NATR is invaluable whenever you need to compare or standardize volatility across differently priced assets, which makes it a staple for building watchlist screens, ranking candidates by turbulence, and normalizing historical volatility comparisons that raw ATR distorts. Its most practical use is position sizing across a diversified portfolio: by targeting the same percentage of risk per name, NATR lets you size positions so that a calm large-cap and a volatile small-cap each contribute comparable risk. It applies to any asset class — stocks, futures, forex, crypto — precisely because the percentage scale is universal. It is directionless, so it is never used to predict which way price will break, only how big the moves are likely to be. Avoid relying on it for very low-priced securities, where small absolute moves become large percentages and the reading can be exaggerated, and remember it is a magnitude gauge, not a directional or timing signal.
Strategies that use it
The core application is volatility-normalized position sizing: you decide how much account risk to take per trade, then use NATR to set a stop distance as a multiple of the percentage volatility and size the position so that stop represents your fixed risk, giving every name in the portfolio comparable risk regardless of its price. A screening strategy ranks a universe of instruments by NATR to find unusually calm names poised for a volatility expansion or unusually wild names to avoid or to trade with smaller size. A regime-comparison strategy tracks an instrument's NATR against its own historical range, treating a NATR compressed far below its norm as a coiled spring that often precedes a breakout and an elevated NATR as a sign to widen stops and reduce size. In all of these NATR supplies the volatility input that scales the trade, while direction and entry timing come entirely from separate directional tools.
Combining it with other indicators
NATR is directionless, so it pairs naturally with directional and momentum tools — moving averages, MACD, RSI — that decide which way to trade while NATR decides how large the position and how wide the stop should be. It complements Bollinger Bands and other volatility-band tools by quantifying the underlying volatility that drives the bands, and a compressed NATR often aligns with a Bollinger Band squeeze that warns of an impending expansion. Position-size and risk calculators take NATR directly as their volatility input, translating a percentage swing into a concrete share count for a given risk budget. Support and resistance levels give the directional trade its structure, with NATR calibrating the stop beyond the level. The consistent theme is that NATR handles the sizing and stop-width side of the trade while separate tools handle direction, making it a workhorse of risk management rather than signal generation.
Where it fails
Like ATR, NATR is directionless and lagging, so it can never tell you which way price is about to break, only how large recent bars have been — traders who expect a volatility reading to predict direction misuse it. Because it divides by price, it can be distorted for very low-priced securities, where a small absolute move represents a large percentage and produces an exaggerated NATR that overstates true risk. It is a backward-looking average, so a sudden volatility shock registers only after it has begun, and a NATR based on a recent calm period will understate the risk of an imminent expansion. Comparing NATR values computed with different lookback periods breaks the apples-to-apples comparison the tool is meant to provide. And as a magnitude measure, it says nothing about the shape or path of a move, so relying on it for anything beyond sizing and volatility comparison is a mistake.
A worked example
Suppose you are choosing between two long candidates: Stock A trades at 20 dollars with a 14-period ATR of 0.80, and Stock B trades at 400 dollars with an ATR of 12. In raw terms Stock B looks vastly more volatile, but computing NATR reveals the truth: Stock A's NATR is 0.80 divided by 20 times 100, or 4 percent, while Stock B's is 12 divided by 400 times 100, or 3 percent — so Stock A is actually the more volatile of the two on a comparable scale. You decide to risk 1 percent of a 100,000-dollar account, or 1000 dollars, on whichever you trade, using a stop of two times NATR. For Stock A that stop is 8 percent, or 1.60 dollars, so you buy 625 shares; for Stock B the stop is 6 percent, or 24 dollars, so you buy about 42 shares. In both cases the position is sized so that the volatility-based stop risks the same 1000 dollars, which is exactly the consistency across differently priced assets that NATR is designed to deliver.