ADR average daily range report: what it measures and how traders use it

the ADR average daily range report on edgeful calculates the Average Daily Range (ADR) using a rolling mean of daily price ranges over a specified period, then analyzes whether actual daily ranges exceeded or respected the previous day's ADR value. Returns statistics on frequency and percentage of exceeded versus respected ADR levels along with detailed daily records.
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 ADR average daily range report measures
- how the calculation works
- available subreports
- how traders use ADR average daily range data
- combining ADR average daily range with other reports
- key takeaways
what the ADR average daily range report measures
Calculates the Average Daily Range (ADR) using a rolling mean of daily price ranges over a specified period, then analyzes whether actual daily ranges exceeded or respected the previous day's ADR value. Returns statistics on frequency and percentage of exceeded versus respected ADR levels along with detailed daily records.
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 ADR average daily range report follows a specific calculation process:
the ADR average daily range report calculates the average daily range over a rolling period and tracks whether actual ranges exceed or stay within that average.
- the report computes ADR as a rolling average of daily price ranges (high minus low) over your specified period
- each day's actual range is compared against the previous day's ADR value
- days are classified as "exceeded" (range larger than ADR) or "respected" (range smaller than ADR)
- percentages show how often the market exceeds or respects its average range, helping you set daily expectations for volatility
available subreports
the ADR average daily range report has 4 subreports for deeper analysis:
by extension. calculates Average Daily Range (ADR) and identifies days when the actual daily range exceeds the previous day's ADR.
- by range to ADR by weekday. calculates the relative range performance by weekday, measuring each day's high-low range as a percentage of the previous day's Average Daily Range (ADR). Uses a rolling period to compute ADR values, then analyzes how actual daily ranges compare to expected ranges across different weekdays, providing both summary averages and detailed daily records.
- by streak. calculates Average Daily Range (ADR) over a specified period and tracks consecutive days where actual daily range exceeds or respects the previous day's ADR. Analyzes streak patterns to determine probabilities of range behavior continuation, providing frequency counts and percentages for exceeded versus respected ADR scenarios.
- by weekday. calculates the Average Daily Range (ADR) for each day of the week and tracks whether the actual daily range exceeded or respected the previous day's ADR value. The function processes historical price data to compute rolling ADR values and categorizes daily performance by weekday, providing frequency counts and percentages for exceeded versus respected ADR levels.
how traders use ADR average daily range data
- setting daily range expectations based on historical ADR calculations for position sizing
- identifying when daily volatility exceeds normal ranges for breakout trading opportunities
- risk management by understanding probability of price ranges exceeding or staying within ADR levels
- planning intraday targets and stops based on average daily range statistics
- market timing by analyzing periods when ranges consistently exceed or respect ADR values
the data doesn't tell you to trade. the ADR average daily 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 ADR average daily range with other reports
the ADR average daily range report works best when combined with other edgeful reports for confluence:
- use the what's in play dashboard to see ADR average daily range data alongside your other favorite reports in one view
- the screener lets you scan up to 49 tickers for ADR average daily range setups across 4 reports simultaneously
- edgeful AI can analyze ADR average daily range data alongside other reports and find patterns you'd never spot manually
key takeaways
- the edgeful ADR average daily range report measures calculates the average daily range (adr) using a rolling mean of daily price ranges over a specified period, then analyzes whether actual daily ranges exceeded or respected the previous day's adr value. returns statistics on frequency and percentage of exceeded versus respected adr levels along with detailed daily records.
- available for futures, stocks, ETFs, forex, and crypto with full session, ticker, and date range filtering
- 4 subreports available: by extension, by range to adr 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.