the overnight range breakout report on edgeful analyzes market hours price action against the overnight session range to classify breakout patterns. it groups data by date and compares market session high and low against overnight high and low to determine whether the range was broken.

you get statistics for double breaks, single breaks, no breaks, and specific high or low break counts.

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 overnight range breakout report measures
• how the calculation works
• available subreports
• how traders use overnight range breakout data
• combining overnight range breakout with other reports
• key takeaways

what the overnight range breakout report measures

the overnight range breakout report analyzes market hours price action against the overnight session range to classify breakout patterns. it groups data by date and compares market session high and low against overnight high and low to determine whether the range was broken.

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

the overnight range breakout report establishes the overnight high and low and tracks what happens during the cash session.

• the report identifies the high and low of the overnight session (4:00 PM to 9:30 AM ET by default, customizable)
• during the regular trading session, it monitors price for breaks above the overnight high or below the overnight low
• each day is categorized as a single break (one side), double break (both sides), or no break
• the order of breaks is also tracked for double-break days
• this gives you a statistical breakdown of how often the overnight range acts as a target during the cash session

available subreports

the overnight range breakout report has 1 subreport for deeper analysis:

detailed. breaks out high-side breaks vs. low-side breaks individually. shows the frequency of overnight high breaks separately from overnight low breaks across the lookback period.

how traders use overnight range breakout data

• mark pre-market high and low each morning to set daily target zones
• identify whether to expect at least one side of the overnight range to break
• use as a target zone for breakout strategies during the cash session
• risk management by knowing how often double breaks occur (chop risk)
• combining with directional bias reports to determine which side is most likely to break first

the data doesn't tell you to trade. the overnight range breakout 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 overnight range breakout with other reports

the overnight range breakout report works best when combined with other edgeful reports for confluence:

• use the what's in play dashboard to see overnight range breakout data alongside your other favorite reports in one view
• the screener lets you scan up to 49 tickers for overnight range breakout setups across 4 reports simultaneously
• edgeful AI can analyze overnight range breakout data alongside other reports and find patterns you'd never spot manually

key takeaways

• the edgeful overnight range breakout report measures how often the overnight session high and low get broken during the cash session
• available for futures, stocks, ETFs, forex, and crypto with full session, ticker, and date range filtering
• 1 subreport available: detailed (high-side vs. low-side breaks)
• 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.