summary: your report numbers won't match what you see in edgeful videos, social posts, or Discord screenshots — and that's completely normal. here's why, and the 5 settings to check.
why the numbers don't match
this is one of the most common questions we get — you're watching an edgeful video or looking at a screenshot someone shared, and the percentages on your screen don't match what's being shown.
that's expected. it's not a bug, and your data isn't wrong.
edgeful reports are calculated from historical market data — and that data updates every single day. a video recorded 3 months ago was showing data as of that date. since then, dozens of new trading days have been added to the dataset, and older days may have rolled off depending on the lookback period.
so the numbers will shift. sometimes by a little, sometimes by more — depending on how the market has behaved since the content was created.
but time isn't the only reason. there are 5 settings that control what a report shows you, and if any one of them is different from what was used in the video, the output will be different too.
the 5 settings that affect your numbers
every report on edgeful is controlled by the same set of core settings in the left sidebar. if any of these don't match what was shown in the video or screenshot, you'll see different numbers.
1) date range
this is the biggest one. the date range controls the historical lookback period — how far back the report pulls data from.
a video showing "6 months" of data in January 2026 is looking at July–January. if you pull up the same report today with "6 months" selected, you're looking at a completely different 6-month window. the data has moved forward.
even if you match every other setting perfectly, the date range alone will cause differences — because the market keeps trading and the dataset keeps growing.
2) session
the session setting changes what the report is actually measuring — not just which slice of data gets shown. NY session data and London session data can look completely different on the same report and ticker.
if the video was showing the NY session and you're looking at daily or Asian, the numbers won't match — and they shouldn't. they're measuring different things.
3) ticker
this one's straightforward — make sure you're on the same ticker. NQ and ES are both index futures, but they have different data. if a video is showing NQ and you're looking at ES, the numbers will be different.
4) subreport
the subreport dropdown — directly below the report selector — slices the data by a different dimension. "standard" shows the base view. "by weekday" breaks it down by day of week. "by levels" shows extension targets. each one shows different numbers from the same underlying dataset.
if the video was showing the "by levels" subreport and you're on "standard," you're looking at different data cuts entirely.
5) customization settings
this is the one that catches people the most. inside the customize panel on the left sidebar, there are report-specific parameters that change how the data gets calculated.
for example, the ORB report has a break type setting — "first break" vs. "all breaks." these produce very different numbers on the by-levels subreport. the IB report has similar customization options. gap fill lets you adjust the fill threshold.
if the video was using "first break" and your report is set to "all breaks," the percentages will look different — even though everything else matches.
customizations are saved per report across your account, so if you've changed them in the past, they may not match the defaults shown in a video.
where you might see different numbers
this applies to any place you see edgeful data outside of your own account:
YouTube videos — recorded at a specific point in time with specific settings
X (Twitter) posts — screenshots captured at the moment of posting
Discord screenshots — shared by other members who may have different customization settings than you
webinars and live streams — even "live" content is showing that day's data, which will differ from what you see on a different day
blog posts and articles — same as videos, the data was pulled at a specific point in time
in every case, the content was accurate when it was created. the data has simply moved forward since then.
how to match what you see in a video
if you want to get as close as possible to what's shown in a video or screenshot, check these 5 things in order:
ticker — confirm you're on the same instrument
session — match the session (NY, London, Asian, daily)
subreport — match the subreport variant (standard, by levels, by weekday, etc.)
customization — click customize and check for report-specific settings like break type, timeframe, or threshold values
date range — match the lookback period, keeping in mind the window has shifted forward since the content was recorded
even with all 5 matched, the numbers still won't be identical if the content is more than a day old — because new market data has been added to the dataset. the closer in time you are to when the content was created, the closer your numbers will be.
for a full walkthrough of every setting on the report page, see navigating and customizing reports.
this is actually a good thing
the fact that your numbers change over time means the data is live and current. you're not looking at a static table — you're looking at a rolling dataset that updates with every new trading day.
a stat that was 74% three months ago and is now 71% isn't "wrong" — it's telling you the market has shifted slightly. and a stat that was 74% and is now 78% means the edge has gotten stronger recently.
that's why the date range comparison matters. check the same report across 1 year, 6 months, and 3 months — if the numbers are consistent across all 3, the pattern is stable. if the short-term number has dropped off, the setup may be weakening. the data tells you either way.