Indicator reference › ATR
The full guide, with worked examples and what our tests found: MACD Crossover Studies
ATR measures market volatility by calculating the average of true ranges over a lookback period. The true range is the greatest of: current high minus current low, absolute current high minus previous close, or absolute current low minus previous close. ATR doesn't indicate direction — it measures HOW MUCH an asset typically moves per period, invaluable for setting stops and targets.
A rising ATR means volatility is increasing (market is moving more). A falling ATR means volatility is decreasing (market is quieting down). ATR is expressed in price units, so $2.50 ATR on a $100 stock means ~2.5% daily range. It's most useful for position sizing and stop-loss placement.
ATR is market-regime agnostic — it works in all conditions as a risk management tool. Very low ATR readings often precede significant breakouts (the 'volatility compression before expansion' pattern). ATR tends to spike during market panics and earnings events.
Bollinger Bands
Bollinger Band Width
Normalized ATR
Keltner Channel
A Stronger Benchmark for the MACD Crossover
Study 002 compared MACD crossovers with every trading day. A reader asked if that was fair, so we re-ran the test only against days with similar trend and volatility, with a calendar-block bootstrap interval on each crossover-minus-comparison difference.
MACD Crossover Studies
A series of event studies on the MACD signal-line crossover in US large-cap stocks: what follows a crossover, whether the benchmark it is measured against is fair, and whether the size of the crossover carries information of its own.
A reading of ATR can be written as an exact rule and checked against historical data — as a full strategy with entries, exits and costs, or as a single condition and what followed it:
How to backtest a trading strategy without code
Event analysis: what follows a market event
Plot it yourself. Add this indicator to a chart, change every parameter and watch the line move, then backtest how the rule would have behaved on historical data — free on the S&P 500 ETF, no card.
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