the candle body ratio report on edgeful analyzes candle formations by calculating body size as a percentage of total candle range across different time periods. it compares the open-to-close difference against the high-low difference for each candle and counts how often the body meets or exceeds a specified percentage threshold.

you get results organized by time of day, so you can see which sessions tend to print full-bodied candles and which tend to print wicks.

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 candle body ratio report measures
• how the calculation works
• available subreports
• how traders use candle body ratio data
• combining candle body ratio with other reports
• key takeaways

what the candle body ratio report measures

the candle body ratio report analyzes candle formations by calculating body size as a percentage of total candle range across different time periods. it compares the open-to-close difference against the high-low difference for each candle and counts how often the body meets or exceeds a specified percentage 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

the candle body ratio report measures directional momentum across intraday time slots.

• the report breaks the trading session into intraday intervals (e.g., 5-min, 15-min)
• for each candle in each slot it calculates the body-to-range ratio
• a ratio near 1.0 means the candle has almost no wicks — pure directional momentum
• a low ratio means the candle has long wicks relative to its body — choppy or indecisive
• averages are calculated per time slot across the lookback period
• this gives you a statistical view of which time slots historically produce the most directional candles

available subreports

the candle body ratio report has 1 subreport for deeper analysis:

by weekday. breaks down body ratio averages by day of the week. surfaces patterns where certain weekdays produce stronger directional candles in specific time windows.

how traders use candle body ratio data

• timing entries to align with time slots where directional momentum is historically highest
• avoiding choppy slots where wicks dominate
• pairing with intraday volume and range for full intraday context
• setting cutoff times once the high-momentum window has passed
• risk management by knowing which slots produce the lowest follow-through

the data doesn't tell you to trade. the candle body ratio 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 candle body ratio with other reports

the candle body ratio report works best when combined with other edgeful reports for confluence:

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

key takeaways

• the edgeful candle body ratio report measures which intraday time slots produce the most directional candles
• available for futures, stocks, ETFs, forex, and crypto with full session, ticker, and date range filtering
• 1 subreport available: 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.