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Gap Study

TheDesperateTrader.com· do stock gaps actually fill?

When a stock gaps overnight, what does it actually do next - fill the gap, keep running, or fade? Measured from our own daily history and always shown against a normal trading day, because the gap size alone is just volatility.

466 trading days3.9M tradeable daysopen→close horizon

Read this first

A bigger gap is not a bigger edge. The gaps traders chase hardest fade the most - stocks that gapped up 10%+ closed just -1.09% from their open on average (a normal day: -0.02%), and 27% of them filled the gap. The Gap Study shows that plainly, so you fade or size on reality instead of the highlight reel.

Featured cohort · how to read a card
Gap up 10%+
Opened at least 10% above the prior close
Fades the gapdays15k
◀ closed red from openopenclosed green ▶
2%dashed = market baseline+2%
Avg gap
+16.26%
Avg open→close
−1.09%
Closed green
40.5%
Filled the gap26.7%
Share that traded back down to the prior close at some point during the day.

What this means rules-based, no AI guesswork

  • On average it gives back the pop: the typical day closed −1.09% from its open versus −0.02% for a normal day.
  • 27% of these gap-ups traded back down to the prior close at some point - the gap "filled".
  • Fewer than half (41%) actually closed green from the open, so buying the open was a coin flip at best.
All gap cohorts · biggest gaps first

Method & honest limits

  • The gap. Each day’s open versus the prior day’s close. We read what the stock did that day: whether it retraced to the prior close (filled), where it closed relative to its open, and how it compared to a normal day.
  • Gap fill is not profit. A gap filling means the price touched the prior close at some point - a volatility fact, not a trade you would necessarily capture.
  • Continuation decides the verdict. A cohort “keeps running” only if its average open-to-close move beats a normal day. On this window, the popular gap-and-go setups do not.
  • Tradeable names only, splits excluded. Filtered to a liquidity floor (at least $1, real dollar-volume). The raw data is unadjusted for splits, so extreme moves (40%+) are dropped as likely split artifacts - a few smaller split gaps can still leak into the gap-down cohorts.
  • Refreshed nightly. Base rates, honestly reported. Not advice, not a performance promise, and not personalized.
Related study
Setup Lab · do intraday setups actually work? →

The intraday companion to this study: momentum pops, RVOL spikes, breakouts and VWAP reclaims, measured the same honest way - upside, downside and net versus the market baseline.

Frequently asked questions

What a stock actually does after it gaps, measured honestly - fill rate, continuation, and how it stacks up against a normal day.

Do stock gaps actually fill?
Often, but not because gaps are magic. Measured over our own daily history, a large share of gap-ups traded back down to the prior close at some point during the day, and gap-downs traded back up - the "fill". But a gap filling intraday is mostly a function of ordinary volatility, not a reliable signal. The Gap Study shows the fill rate for each gap size beside what the day actually did.
Does a gap up keep running ("gap and go")?
Barely, and less as the gap gets bigger. On our history the average gap-up closed only a fraction of a percent from its open - roughly the same as a normal day - and the biggest gaps (10%+, 20%+) faded MORE, not less. Fewer than half closed green from the open. A big gap is volatility, not an edge.
How is a gap judged to "keep running" or "fade"?
Only on the average open-to-close move versus a normal trading day - never on the size of the gap. A cohort reads "keeps running" only if it closes meaningfully green from the open and beats the market baseline by a real margin; otherwise it is "no net edge" or "fades the gap".
What data is this measured on?
Our own daily bar history across thousands of symbols, filtered to a tradeable-liquidity floor (at least $1 and real dollar-volume) so the base rates describe names you could realistically act on. Because the raw data is unadjusted for splits, extreme overnight moves (40%+) are excluded as likely split artifacts. Base rates, not advice.

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