a day trading setup is the full set of rules you trade one strategy with: which days you take it, where you get in, where you get out, and how you check whether it's working. you might already know the ORB, gap fills, and the IB breakout. the work is building those rules and a daily routine around one of them.

according to edgeful data, NQ opened with a gap in the NY session 131 times over the last 6 months, and 71 of those gaps filled back to the prior session close. the gaps smaller than 0.4% filled 53 of 58 times.

the ticker and the strategy are the same in both numbers. the only difference is a size rule, and you find a rule like that by testing each part of a complete day trading setup against the data.

if you're still deciding which strategy to start with, see our guide to 7 data-backed futures trading strategies.

table of contents

• what a complete day trading setup includes
• step 1: pick one strategy
• step 2: validate your day trading setup with historical data
• step 3: define your entry rules
• step 4: define your exit rules
• step 5: build your daily process around your day trading setup
• step 6: track and review your results
• when to adjust your day trading setup
• common day trading setup mistakes
• key takeaways

what a complete day trading setup includes

a day trading setup is the complete process you use to find, enter, manage, and exit a trade, plus the daily routine that tells you whether the setup is worth trading today.

here's what goes into it:

• the strategy: the specific condition you trade (gap fill, IB breakout, ORB, inside bar, and so on)
• the data: how often the setup worked over a sample big enough to mean something, and how that changes by ticker, session, size, and day of week
• the entry rules: the exact price condition that gets you in
• the exit rules: your target and your stop, both set before you enter and both taken from the data
• the daily filter: a check at the open that tells you whether today's conditions match the setup
• the review process: how you log your trades and find what needs adjusting

step 1: pick one strategy

if you rotate between day trading setups based on whatever worked last week, or whatever someone posted online, you can't validate a setup, build rules around it, or track results that mean anything, because the strategy keeps changing.

here's how to choose:

• pick one that fits your schedule. the ORB forms in the first 15 minutes of the session by default. the IB takes the first hour. a gap fill trade starts at the open. if you can only trade the first 30 minutes, the IB breakout won't fit
• pick one with a clear trigger. "buy when it looks bullish" can't be repeated. "enter long when price breaks above the opening range high and pulls back 25% into the range" can
• pick one you can test against data. build it on defined conditions like gap direction, an IB break, or an ORB break, because those are what edgeful's reports track

for most futures traders, the gap fill, the IB breakout, and the ORB breakout are the easiest day trading setups to start with. all 3 have clear triggers, defined levels, and years of history in edgeful's reports. if you're newer to this, the gap fill is a good day trading setup for beginners because the trigger and the target are both known at the open.

the NQ gap fill example

if you trade NQ and you can watch the first couple of hours of the NY session, the gap fill fits all 3. the trigger is clear: NQ opens above or below the prior NY session close.

the target is defined: the prior session close. and edgeful tracks every gap, so you can test it before you risk anything on it.

you can add a second one later, once you build a day trading setup around this one and trade it for a while.

step 2: validate your day trading setup with historical data

a few winning trades tell you very little. to build a day trading setup you can trust, you want its full history over a large sample, and then that same history split a few different ways.

what to check

• how often it worked overall. use a window long enough to give you a real sample. 6 months of NQ gaps in the NY session gives you 131 of them
• how often it worked by ticker. the same setup can behave very differently on two tickers. NQ gaps from 0.2% to 0.39% filled 25 of 28 times over the last 6 months in the NY session. ES gaps in that same size range filled 15 of 36 times
• how often it worked by day of week. NQ gaps in the NY session over the last 6 months filled 17 of 26 times on Monday and 17 of 26 times on Wednesday. on Tuesday and on Thursday, they filled 12 of 26 times. that's a difference of 5 fills on the same number of gaps
• how often it worked by session. the NY session, the London session, and the overnight session give you different numbers for the same setup
• how often it worked by size. gap size, IB size, and ORB size all change the numbers. on NQ gaps, size made a much bigger difference than the weekday did
• what happens before it works. the by spike subreport on gap fill and outside days shows how far price moved against the trade before the fill or the retrace. that number is where your stop comes from in step 4

one caution on splitting the data: every cut makes the sample smaller. 26 gaps per weekday is a lot thinner than 131 gaps overall, so a weekday difference is something to watch, and a size difference like 53 of 58 against 18 of 73 is something you can build a rule on.

the NQ gap fill example

over the last 6 months (April 10 to October 9, 2026), NQ opened with a gap in the NY session 131 times, and 71 of those gaps filled back to the prior session close. on its own, 71 of 131 is just over half of all gaps.

the gap fill by size subreport shows where those fills came from:

• gaps under 0.2%: 28 of 30 filled
• gaps from 0.2% to 0.39%: 25 of 28 filled
• gaps from 0.4% to 0.69%: 7 of 18 filled
• gaps from 0.7% to 0.99%: 6 of 21 filled
• gaps from 1.0% to 1.49%: 3 of 22 filled
• gaps of 1.5% or more: 2 of 12 filled

53 of the 71 fills came from gaps under 0.4%. those small gaps filled 53 of 58 times, while gaps of 0.4% and bigger filled 18 of 73 times. trading every gap mixes those 2 groups together, which is why the overall number is so much lower than the small-gap number.

where to get this data

edgeful's reports let you set the ticker, session, and date range, and the gap fill report adds subreports for day of week, size, spike, fill time, and more.

once the setup is validated, the what's in play dashboard shows the live version from the 9:30AM ET open: today's gap, its size, the fill target, and the distance to it.

if your day trading setup can't pass this step, because it only works in one narrow condition, the sample is too small to trust, or the stop from the spike data is wider than you can take, find that out before you trade it with real money.

step 3: define your entry rules

your day trading setup needs an entry trigger specific enough that you'd take the same trade, at the same price, every time it shows up.

a complete entry rule answers 3 questions:

1. what condition sets up the trade?
2. where exactly do you enter?
3. what, if anything, confirms the entry?

the NQ gap fill example

1. the condition: NQ opens the NY session with a gap smaller than 0.4% from the prior session close. a gap of 0.4% or more is a no-trade day for this setup
2. the entry: at the 9:30AM ET open, short a gap up or buy a gap down, with the prior session close as the target
3. the confirmation: none in this version. if you want one, write it down exactly (for example, "the first 5-minute candle closes back toward the prior close") and track it in your log before you rely on it

using retracement levels for entry

on breakout setups, a retracement entry gives you a specific price instead of chasing the break. you wait for price to pull back into the range and enter at a defined level.

for IB breakouts, entering on a 25% retracement after the IB high breaks gives you a defined structure. the stop goes at the 50% retracement and the target at the 0.5x IB extension, which works out to 3 points of reward for every 1 point of risk, all set before you enter.

the IB by retracement subreport shows how often price pulls back to each retracement level, and the by levels subreport shows how often it reaches each extension. the ORB has the same 2 subreports.

one good test for the entry rule in any day trading setup is whether 2 traders looking at the same chart would enter at the same price. if there's room for interpretation, the rule needs more detail.

step 4: define your exit rules

your day trading setup is complete when you know exactly how you're getting out, both when the trade works and when it doesn't.

stop placement

a 10-point stop because 10 points feels right is a guess. the data gives you better places to put it:

• IB and ORB setups: the 50% or 75% retracement of the range, so the stop scales with the range itself
• gap fill and outside day setups: the by spike subreport, which shows how far price pushed against the trade before the fill or the retrace, for your ticker, direction, and size

target placement

• IB and ORB setups: extension levels (0.5x, 1.0x, 1.5x the range). the by levels subreport shows how often price reached each one
• gap fill setups: the prior session close is the target. you can customize the fill percentage, for example a half fill at 50%, and the report shows how often each version filled
• inside bar setups: yesterday's high or low

the NQ gap fill example

target: the full fill back to the prior session close. edgeful lets you test a half fill instead, and on these gaps it barely changed the numbers. on NQ in the NY session over the last 6 months (April 10 to October 9, 2026), gaps under 0.2% reached the half fill 29 of 30 times against 28 of 30 for the full fill.

gaps from 0.2% to 0.39% reached it 26 of 28 times against 25 of 28. one extra fill in each size range isn't worth giving up half the target, so the full fill stays.

stop: the by spike subreport, filtered to the same gap sizes and the same 6 months of NY sessions. on NQ gap ups under 0.2% that filled, price pushed an average of 67.54 points above the open before the fill, and the biggest push was 216.5 points. on gap downs in that range, the average push below the open was 53.59 points and the biggest was 133.25.

the 0.2% to 0.39% gaps came in lower on both sides, with a biggest push of 153 points.

on the smallest gaps, the stop is the hard part. on NQ gap ups under 0.2%, the average push against the trade was 0.23%, bigger than any gap in that group. so a stop outside the average push is wider than the target, and the trade depends on how often those gaps fill.

time stop: over the same 6 months of NY sessions, the by fill time subreport shows that 52 of the 53 fills on NQ gaps under 0.4% happened before 12:00PM ET. of the 6 small gaps still open at noon, 1 filled before the close, so the example rule closes the trade at 12:00PM ET if the gap is still open.

partial exits

some traders take part of the position off at a first target and let the rest run to a second one. if you do, set the split before you enter. on the NQ example, the half fill and the full fill came through almost equally often, so there's little to gain from splitting it.

step 5: build your daily process around your day trading setup

your daily process answers one question each session: is today a day to trade your setup, or a day to sit on your hands?

before the open

1. check where your ticker is trading against the prior session close. that tells you which way it's likely to gap and roughly how big the gap will be
2. check the weekday data. on NQ in the NY session over the last 6 months, gaps filled 17 of 26 times on Monday and on Wednesday, and 12 of 26 times on Tuesday and on Thursday. some traders trade smaller on their setup's weaker days, others skip them. if you use the weekday cut, write it into your day trading setup rules
3. note what else could be in play. if you trade IB breakouts, note the gap direction so you can compare it to the IB break after 10:30AM ET. if you trade gap fills, note whether price is trading above yesterday's high or below yesterday's low, which would make it an outside day at the open. decide ahead of time what you do when your reports disagree, whether that's trading smaller or skipping the trade

at the open

1. read the gap at 9:30AM ET. the what's in play section on edgeful's gap fill report shows the gap type, its size, the fill target, and the distance to it, live from the open
2. decide: trade or sit. on the NQ example, a gap of 0.4% or more is a no-trade day for this setup, however good the chart looks. gaps that size filled 18 of 73 times in the NY session over the last 6 months
3. if it's a trade, enter at your defined level with the stop and target from step 4 already set. no adjustments because of how the trade feels

after the session

1. log the trade: date, ticker, direction, entry, exit, result in points or dollars, and whether you followed every rule
2. note the conditions: gap size, gap direction, weekday, and anything else the data tracks. this is what you'll review later

step 6: track and review your results

tracking is how you find out whether your day trading setup works when you trade it, and how you catch problems before they turn into a losing month.

what to track

• how often your trades hit target, by week and by month
• your actual reward-to-risk against the plan: whether you're reaching your targets or closing winners early
• plan adherence: how many trades followed every rule, and how many didn't
• results by condition: weekday, gap direction, size, or whatever else your setup's data tracks

our guide to keeping a trading journal goes deeper on how to set up the log itself.

weekly review (15 minutes)

once a week, go through every trade. the most useful check is whether you followed your day trading setup rules on each one. a loss on a trade you took outside your rules comes from execution, so it tells you nothing about the setup.

monthly review (30 minutes)

once a month, compare your results to the current data. on the NQ example, the report showed gaps under 0.4% filling 53 of 58 times in the NY session over the 6 months ending October 9, 2026.

your stop and the noon exit will cost you some of those fills by design, and how many depends on where you set the stop. so go through your losses first and mark the stop-outs on gaps that filled later, because those come from where your stop sits. if your trades are still hitting target far less often than the report once you account for those, look at your execution: early entries, moved stops, exits before the target. if the report's own numbers have dropped when you rerun the window, conditions have changed, and that's when the setup itself needs a look.

when to adjust your day trading setup

your day trading setup can change over time. markets change, and a setup that held up well for 6 months might need adjusting.

adjust when:

• the data shows a sustained drop. your own results drop over 30 or more trades, and the report shows the same drop when you rerun it on a recent window. comparing the last 3 months, the last 6 months, and the last year on the same report is a quick way to see it
• your circumstances change. a new job, a different schedule, a smaller or bigger account. anything that changes when or how you can trade might mean a different setup fits better
• you've built your first setup and want to add confluence. once you're consistent with one day trading setup, a second data point that agrees with the first (like an inside bar day lining up with your gap fill) gives you another reason to take the trade, or a reason to skip it when the 2 disagree

don't adjust when:

• you had a bad week. every setup has runs of losses, including ones with strong data behind them. for what's normal and what isn't, see our post on losing streaks in trading.
• someone posted a different setup online. switching every time you see something new puts you back at step 1 with nothing tracked
• you feel like the market has changed. rerun the report first. that feeling might come from your last few trades, and the report covers 6 months of sessions

common day trading setup mistakes

no data validation

if you trade a setup only because it makes sense, or because you saw it work a few times, you can't know whether that day trading setup has an edge. over the last 6 months in the NY session, the NQ gap fill looked like a 71 of 131 setup until the size cut showed where the fills came from.

rules that are too loose

"I trade the IB breakout, but sometimes I enter early if it looks strong." every exception like that makes the setup harder to test, because the rules change from trade to trade and your log stops meaning anything.

no daily filter

if you trade the same setup the same way every day, whatever the conditions, you take the weak versions of it along with the strong ones. on the NQ example, the filter is one number at the open: the gap size. without it, you're back to trading all 131 gaps from the last 6 months of NY sessions.

no review

if you take trades but never log or review them, you can't tell whether your day trading setup works when you trade it, and the same mistakes keep repeating.

switching too fast

switching to a new strategy after 3 losing trades judges the setup on a tiny sample. if the data still supports it, give it enough trades to compare against the report before you decide.

key takeaways

• a complete day trading setup has 6 parts: the strategy, the data behind it, entry rules, exit rules, a daily filter, and a review process
• pick one strategy and validate it before you trade it. check how often it worked overall, then split it by size, ticker, weekday, and session
• the splits can change the whole picture. NQ gaps in the NY session filled 71 of 131 times over the last 6 months, while the gaps under 0.4% filled 53 of 58 times
• take your stop and target from the data. on NQ gap ups under 0.2% that filled in the NY session over the last 6 months, price pushed an average of 67.54 points against the trade first, so a stop tighter than that sits inside the average move before the fill
• your daily check is where the rules get applied. on the NQ example it's one number at the open: NQ gaps of 0.4% or more filled 18 of 73 times in the NY session over the last 6 months, so those days are a no-trade
• track how often your trades hit target and compare it to the report every month, after you account for the fills your stop costs you. if you're still well below the data, check your execution before you change the setup
• don't switch day trading setups after a bad week. adjust when your own results and the report both show a sustained drop

edgeful provides historical performance data to help traders make informed decisions. this does not constitute financial advice. past performance is not indicative of future results. all trading involves risk. always do your own analysis and manage your risk accordingly.