ATR average true range report: what it measures and how traders use it
the ATR report on edgeful calculates ATR values across historical price data and tracks daily performance by comparing actual ranges against the previous day's ATR. it determines whether each trading day exceeded or respected the ATR threshold.
this is one of the 150+ reports available on the edgeful platform. here's how it works, what the data shows, and how traders use it.
table of contents
- what the ATR average true range report measures
- how the calculation works
- available subreports
- how traders use ATR average true range data
- combining ATR average true range with other reports
- key takeaways
what the ATR average true range report measures
the ATR report calculates ATR values across historical price data and tracks daily performance by comparing actual ranges against the previous day's ATR. it determines whether each trading day exceeded or respected the ATR threshold.
the report is available for futures, stocks, ETFs, forex, and crypto. you can filter by ticker, session (NY, London, Asian, full globex, or custom), and lookback period (1 month to 5+ years).
how the calculation works
according to edgeful data, the ATR average true range report follows a specific calculation process:
the ATR average true range report calculates the Average True Range over a rolling period and tracks whether actual daily ranges exceed or stay within that level.
- the report computes ATR using a rolling window of daily price ranges
- each day's actual range (high minus low) is compared against the previous day's ATR value
- days where the range exceeds ATR are classified as "exceeded," and days where range stays within ATR are classified as "respected"
- percentages show how often the market exceeds vs. respects its average range, helping you set daily range expectations
available subreports
the ATR average true range report has 4 subreports for deeper analysis:
by extension. analyzes daily price ranges that exceed the Average True Range (ATR) calculated from a rolling window period.
by range to atr by weekday. calculates relative range patterns by weekday using Average True Range (ATR) as the denominator.
by streak. analyzes consecutive day patterns of ATR (Average True Range) performance by comparing daily price ranges to previous day ATR values.
by weekday. calculates Average True Range values for each trading day and compares daily price ranges against previous day ATR values to determine if ranges exceeded or respected ATR levels. Groups results by weekday to show frequency and percentage statistics for each day of the week.
how traders use ATR average true range data
- volatility assessment by comparing daily price ranges against historical ATR expectations
- risk management by understanding how often actual volatility exceeds average true range
- position sizing adjustments based on current ATR relative to historical patterns
- stop loss placement using ATR multiples when most days respect the average range
- market regime identification through periods of consistently exceeded ATR values
the data doesn't tell you to trade. the ATR average true range report tells you the historical performance of the setup in front of you. what you do with that information is your decision.
results require customization, time, and effort. the numbers change depending on your ticker, session, and lookback period. always check the data for your specific conditions.
combining ATR average true range with other reports
the ATR average true range report works best when combined with other edgeful reports for confluence:
- use the what's in play dashboard to see ATR average true range data alongside your other favorite reports in one view
- the screener lets you scan up to 49 tickers for ATR average true range setups across 4 reports simultaneously
- edgeful AI can analyze ATR average true range data alongside other reports and find patterns you'd never spot manually
key takeaways
- the edgeful ATR average true range report measures calculates average true range (atr) values for historical price data and tracks daily performance by comparing actual price ranges against previous day atr values. determines whether each trading day exceeded or respected the atr threshold, providing frequency counts and percentages for both outcomes along with detailed daily breakdowns.
- available for futures, stocks, ETFs, forex, and crypto with full session, ticker, and date range filtering
- 4 subreports available: by extension, by range to atr by weekday, by streak, by weekday
- part of the 150+ reports included in the edgeful essential plan ($49/month or $39/month annual)
- works best when combined with other reports using what's in play, the screener, or edgeful AI
trading involves risk. past performance and historical data do not guarantee future results. the statistics referenced in this post are based on historical data and may not reflect future market conditions. always trade with proper risk management.
