the power hour breakout report on edgeful analyzes price breakouts during power hour by comparing the bucket period's high and low against remaining session periods. it tracks new high of day and new low of day occurrences during the power hour timeframe.

you get frequency and percentage statistics for breakout patterns across grouped trading dates.

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

what the power hour breakout report measures

the power hour breakout report analyzes price breakouts during power hour by comparing the bucket period's high and low against remaining session periods. it tracks new high of day and new low of day occurrences during the power hour timeframe.

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 power hour breakout report analyzes whether new highs or lows of the day are made during the final portion of the trading session.

• the report divides the trading day into two parts: everything before the power hour and the power hour itself
• it identifies the high and low established before the power hour begins
• it then checks whether price makes a new high of day or new low of day during the power hour
• percentages are calculated for how often new extremes are set in the final session
• this helps you anticipate late-day moves and understand how often the power hour produces new daily extremes

available subreports

the power hour breakout report has 2 subreports for deeper analysis:

by open. analyzes power hour breakout patterns based on where the market opens relative to a target area within the initial time bucket. Calculates frequency of new highs of day (NHOD) and new lows of day (NLOD) during power hour sessions for stocks that open above versus below a specified percentage level within the opening range.

by weekday. analyzes whether new high of day (NHOD) or new low of day (NLOD) occur during power hour periods,

how traders use power hour breakout data

• identifying power hour breakout patterns for intraday trading strategies
• setting expectations for new high/low probability during specific time windows
• risk assessment based on historical breakout frequency percentages
• entry timing optimization using bucket period high/low reference levels
• session-based trading plan development using overnight versus regular hour logic

the data doesn't tell you to trade. the power hour 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 power hour breakout with other reports

the power hour breakout report works best when combined with other edgeful reports for confluence:

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

key takeaways

• the edgeful power hour breakout report measures analyzes price breakouts during power hour sessions by comparing bucket period highs/lows against remaining session periods.
• available for futures, stocks, ETFs, forex, and crypto with full session, ticker, and date range filtering
• 2 subreports available: by open, 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.