how to find the best trading setups with edgeful discovery

finding the best trading setups used to mean opening report after report, ticker after ticker, and trying to remember which ones were actually strong this week. edgeful discovery changes that. it scans every report on your ticker, scores each one, and ranks the best trading setups so the ones worth your attention rise to the top in about 10 seconds.
this guide walks through what discovery is, how it works, and how to use it to find the best trading setups for your ticker, session, and timeframe, without guessing where to start.
table of contents
- the problem: too many reports, not enough time
- what is edgeful discovery
- how discovery finds the best trading setups
- score vs data: the two numbers that matter
- a real example on ES
- how to build a morning routine around discovery
- who discovery is for
- key takeaways
the problem: too many reports, not enough time
edgeful now has 150+ reports. gap fill, initial balance, ORB, ADR, outside days, inside bars, and a lot more. each one measures something different, and each one behaves differently depending on what you trade.
that is a lot of data. it is also a problem. nobody has time to open 150+ reports across every ticker before the open and figure out which ones are setting up today.
so most traders fall back on the same three or four reports they already know. that works, but it means the strongest setup on a given day might be sitting inside a report you never open.
the question almost every trader eventually asks is simple: which report should I actually be trading right now? for a long time the honest answer started with "it depends." it depends on your ticker. it depends on your session. it depends on the window you are looking at.
that answer is true. it is just not very helpful when you are sitting at your desk trying to decide where to focus.
what is edgeful discovery
discovery is a report ranking page inside edgeful. it scores every report against your ticker, session, and lookback, then ranks them so the best trading setups for your exact setup rise to the top.
the headline on the page sums it up: discover what's working right now.
instead of opening reports one at a time and trying to remember which have been strong lately, you run a single scan and get a ranked list. the reports worth your attention sit at the top. the ones that are not drop to the bottom.
discovery went live for all edgeful members in June 2026. if you have a login, it is in your sidebar now.
how discovery finds the best trading setups
there are three steps: configure, scan, trade.
1. configure. on the left sidebar you set the inputs that make the results yours:
- your asset and ticker (ES, NQ, SPY, whatever you trade)
- your session (New York, Asia, London, or a custom window)
- your lookback (1 month, 3 months, 6 months, or 1 year)
- a minimum score floor, so you only see quality reports and setups above a bar you set
2. scan. hit run scan. discovery pulls the price data, runs every report calculation for your ticker, scores each one, and sorts the results. it is scoring hundreds of reports across 724 different outcomes, and it does the whole thing in about 10 seconds.
3. trade. you get a ranked table. each row is one setup, and you can click any row to expand it, see the detail, bookmark it, or jump straight to the full report.
each row shows you a few things:
- the report and the specific outcome being measured
- a score (more on that below)
- the data, which is the raw stats straight from the reports page
- the sample, which is how many times that setup has actually occurred
at the top of the table you see how many outcomes were scanned, how many cleared your floor, and how long the scan took. this is the fastest way to find the best trading setups on a ticker without opening a single report manually.
score vs data: the two numbers that matter
this is the part worth slowing down on, because it is what makes the ranking useful. there are two numbers on every row, and they do different jobs.
- the data column is the raw historical hit rate, straight from the reports page. how often this setup has worked over your window. it is accurate, and it is the number you cite when you actually place the trade.
- the score is an internal calculation edgeful uses to rank the reports. it is a combination of a few different inputs, and it ranks every report so the ones genuinely worth a look rise to the top, not just the ones showing the highest raw stat.
here is why that distinction matters. if discovery sorted by the raw data column alone, a setup that hit 100% of the time would sit at the very top. that sounds great, until you check the sample and see it has only happened once. one occurrence is not enough to trade.
the score handles that for you. it is why the table sorts by score and not by the raw percentage. the reports that rise to the top are the ones with a real, repeatable edge behind them.
so when you are scanning, the score tells you where to look first. the data tells you how strong the setup actually is. you use both. anything that ranks high on score but thin on sample is a flag to slow down, not a green light.
a real example on ES
let's read a real scan the way you would on the page. according to edgeful data, here is the top of a discovery scan on ES, New York session, over the last 6 months, with the minimum score set to 85. out of 724 outcomes scanned, 10 cleared that floor.
the strongest trading setups on that scan:
- IB by weekday, single break on Friday: score 100, data 92%, 24 occurrences
- ICT opening retracement by size: score 99.8, data 91%, 22 occurrences
- opening candle continuation by size: score 99, data 91%, 21 occurrences
- inside bars by previous day size: score 95.6, data 91%, 43 occurrences
- gap fill by size: score 93.3, data 90%, 29 occurrences
look at what the scan is telling you. the IB by weekday setup tops the list with a strong 92% hit rate. the inside bars setup is interesting too: it has the largest sample of the group at 43 occurrences, which means its 91% has more history behind it than the rows above it. the score accounts for that kind of context, which is exactly why the best trading setups rise to the top instead of the highest raw number.
none of this is a trade signal. it is a shortlist. you still open the report, confirm the setup on the day, and manage your risk. but instead of guessing which of 150+ reports to check first, discovery handed you the five strongest on ES in about 10 seconds.
run the same scan on NQ and you get a different list. a report that ranks near the top on ES might not even clear your floor on NQ. that is not a bug, it is the entire reason discovery scores against your specific ticker. if you trade both, scan both.
how to build a morning routine around discovery
discovery fits into a pre-market routine in under a minute, and it is the fastest way to surface the best trading setups before the bell. here is a simple version:
- open discovery and set your main ticker, your session, and a 6 month lookback
- set a minimum score floor so you only see quality setups (start around 70-85 and adjust)
- run the scan and read the top 5 rows
- expand anything that looks relevant, check the sample size, and bookmark the ones you want to watch
- repeat on your second ticker if you trade more than one
if you want to see what has been hot more recently rather than over the full window, drop the lookback from 6 months to 1 month and re-scan. the ranking shifts toward recent strength. same ticker, different window, different answer. that flexibility is what lets you adapt as the market environment changes.
for a deeper pre-market workflow that pairs discovery with live setups, the day trading routine guide walks through a 3-minute morning system. and if you are still deciding which reports fit your style, continuation vs reversal breaks down how to choose.
who discovery is for
discovery is built for two traders in particular.
- the first is the newer member who opens edgeful, sees 150+ reports, and has no idea where to start. discovery gives them a ranked starting point on day one instead of a wall of options.
- the second is the experienced trader who already has a process but wants a faster read on what is working right now. they can scan their ticker, confirm their usual setups are still strong, and occasionally find a report they were not watching that has quietly become one of the best trading setups on their chart.
discovery does not trade for you, and it does not replace the work. finding the best trading setups still takes customization, time, and effort. you pick the setup, check the data on your ticker, and adapt it to how you trade. what changes is the starting point: you go from guessing to a ranked, data-backed shortlist in about 10 seconds.
if you want to see how discovery compares to the rest of the live data tools, the what's in play dashboard shows which setups are active right now, while discovery ranks which reports are strongest over your chosen window. and if you are choosing between the two big index futures to scan first, ES vs NQ covers how they differ.
key takeaways
- edgeful discovery scans every report on your ticker and ranks the best trading setups so the strongest ones rise to the top in about 10 seconds
- you configure three inputs: ticker and session, lookback window, and a minimum score floor
- the data column is the raw historical hit rate you trade on; the score is an internal calculation that ranks reports so high-rate, thin-sample setups do not float to the top
- according to edgeful data, a top ES scan over the last 6 months in the New York session put IB by weekday (92%, 24 occurrences) and inside bars by previous day size (91%, 43 occurrences) among the strongest trading setups
- scan each ticker on its own, because the best trading setups on ES are rarely identical to NQ
- discovery gives you a ranked starting point, not a trade signal. you still confirm the setup and manage risk
finding the best trading setups is no longer about how many reports you can check before the open. it is about reading the right shortlist and doing the work on the ones that matter.
this is educational content, not financial advice. trading futures carries substantial risk, and past performance does not guarantee future results. the data shows how often a setup has worked historically, not what will happen on any given day. always do your own analysis and manage your risk.