Normalized ATR explained

What Normalized ATR measures

NATR is ATR expressed as a percentage of the closing price rather than in raw price units. This solves the same cross-security comparability problem that PPO solves for MACD: a $5 ATR means something very different for a $20 stock than for a $2,000 stock, but a 2% NATR means the same thing regardless of price level, making volatility directly comparable across an entire watchlist or screener universe.

How Normalized ATR readings are interpreted

A higher NATR means the security moves a larger percentage of its price on a typical day — more volatile, larger position-sizing risk, larger potential reward. A lower NATR means calmer, more range-bound price action. Because it's normalized, NATR values can be meaningfully ranked and sorted across completely different securities.

Conventional Normalized ATR levels

• NATR below ~1-2%: relatively low volatility for a typical stock
• NATR above ~4-5%: elevated volatility, larger expected daily swings
• Rising NATR: volatility expanding, often around news, earnings, or a breakout
• Falling NATR: volatility contracting, often preceding a squeeze/breakout setup
• Exact thresholds should be calibrated per asset class — crypto and small caps run structurally hotter than large-cap equities

Where Normalized ATR works, and where it does not

Useful in virtually all market conditions since it's purely a volatility measure, not a directional one. Particularly valuable for position sizing and cross-security comparison — raw ATR simply can't do this job as reliably.

Indicators commonly read alongside Normalized ATR

• ATR: Same underlying calculation; use NATR specifically when comparing volatility across different tickers, use raw ATR for single-ticker stop-loss placement in price units
• Bollinger Band Width: Both measure volatility; agreement in direction (both rising/falling) confirms the volatility read
• Position sizing: A common practical use — size positions inversely to NATR so each trade carries similar dollar risk

Known limitations of Normalized ATR

• Doesn't indicate direction — high NATR can accompany either a strong rally or a sharp decline
• Percentage normalization can make very low-priced stocks look artificially volatile due to bid-ask spread noise relative to price
• Historical NATR doesn't guarantee future volatility will remain similar, especially around scheduled events like earnings

Normalized ATR in practice

• NATR rather than raw ATR is the conventional choice when comparing or screening volatility across multiple tickers
• A standard position-sizing approach: risk a fixed dollar amount, with position size inversely proportional to NATR
• Screen for low NATR + Squeeze-on as a "coiled spring" watchlist for potential breakout candidates
• Expect NATR to spike around earnings and major news — factor this into position sizing ahead of known events