pre-market range correlation report: what it measures and how traders use it

the pre-market range correlation report on edgeful measures the relationship between the pre-market high-low range (4:00 AM-9:15 AM ET) and the regular session high-low range (9:30 AM-3:45 PM ET).
calculates a correlation coefficient so you can see whether a quiet or wide pre-market reliably predicts a quiet or wide regular session.
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 pre-market range correlation report measures
- how the calculation works
- how traders use pre-market range correlation data
- combining pre-market range correlation with other reports
- key takeaways
what the pre-market range correlation report measures
splits each trading day into a pre-market window (4:00 AM-9:15 AM ET) and a regular session window (9:30 AM-3:45 PM ET), calculates the high-low range for each, and reports both the average range for each window and the correlation between the two.
the report is available for futures, stocks, ETFs, forex, and crypto. you can filter by ticker and lookback period.
how the calculation works
the pre-market range correlation report compares the high-low spread of two time windows per day.
- the report filters historical data into a pre-market subset (4:00 AM-9:15 AM ET) and a regular session subset (9:30 AM-3:45 PM ET)
- it groups each subset by trading day and calculates the daily high-low range
- both range series are averaged across the lookback to produce a mean pre-market range and a mean regular session range
- a correlation coefficient is calculated between the two daily range series
- the higher the correlation, the more reliably the pre-market range predicts the regular session range
how traders use pre-market range correlation data
- gauging whether to expect a wide or narrow day before the bell based on pre-market range
- pulling profit targets in when pre-market is tight on a strongly correlated ticker
- attacking with wider targets when pre-market range is significantly above average
- pairing with pre-market volume indicator for a volume + range pre-session read
- building data-backed pre-market routines instead of trading every open the same way
the data doesn't tell you to trade. the pre-market range correlation 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 pre-market range correlation with other reports
the pre-market range correlation report works best when combined with other edgeful reports for confluence:
- use the what's in play dashboard to see pre-market range correlation data alongside your other favorite reports in one view
- the screener lets you scan up to 49 tickers for pre-market range correlation setups across 4 reports simultaneously
- edgeful AI can analyze pre-market range correlation data alongside other reports and find patterns you'd never spot manually
key takeaways
- the edgeful pre-market range correlation report measures the correlation between the pre-market high-low range and the regular session high-low range
- available for futures, stocks, ETFs, forex, and crypto with full ticker and date range filtering
- correlation coefficient plus mean pre-market range and mean regular session range
- 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.