In this post, you’ll learn how often post-earnings momentum actually continues during the following trading session, how intraday continuation compares with end-of-day persistence, and what that difference means for traders. I’ll break down results from 199 post-earnings momentum setups, including how often stocks moved another 3%, 5%, 9%, and more in the original earnings direction, plus how bullish, bearish, and breakout setups compared.
I analyzed 199 post-earnings momentum setups to find out how often the initial earnings move continued during the following trading session.
Just 55.8% finished the next session farther in the original direction, but 85.9% moved at least another 3% in that direction intraday. (The Paper Trading Journal, n.d.)
That is a big difference. It suggests post-earnings continuation is much more common during the session than it is by the closing bell.
A stock that has already made a large earnings move can look like it has only two possible paths: keep trending or reverse. The data paints a messier picture because many stocks continue first and reverse later.
So the answer to “does post-earnings momentum continue?” depends heavily on what we mean by continue.
In this study, I looked at both intraday extension and whether the move was still intact at the next closing bell.
Quick Answer: How often does post-earnings momentum continue?
In my analysis of 199 post-earnings momentum setups, 85.9% moved at least another 3% in the original earnings direction during the following session, and 67.8% moved at least another 5%. However, only 55.8% finished the next session farther in that same direction, showing that post-earnings momentum often continues intraday but does not always persist through the closing bell.
Key Statistics
I analyzed 199 post-earnings momentum setups to see how often the initial earnings move continued during the following trading session.
How I Defined Post-Earnings Momentum Continuation
The study contains 199 post-earnings momentum setups from the PTJ dataset.
For each setup, the direction of the move was established by the first hourly earnings candle, and the close of that candle became the reference point for measuring what happened next.
Bullish earnings reactions were measured for additional upside, while bearish earnings reactions were measured for additional downside. Maximum Favorable Excursion, or MFE, measured how far price subsequently traveled in that original direction.
I used two different definitions of continuation because they answer different questions.
Intraday continuation means the stock moved farther in the original earnings direction at some point, even if it later gave the move back.
EOD continuation is stricter: the stock had to finish the next trading session farther in the same direction as the initial post-earnings move. That distinction is the foundation of the results below.
Post-Earnings Momentum Continued Through the Close 55.8% of the Time
Of the 199 setups, 111 finished the next session farther in the original earnings direction.
That works out to a 55.8% EOD continuation rate.
That is better than a coin flip, but it is not an overwhelming edge by itself. Another 84 setups, or 42.2%, finished the next session against the original direction, while four were flat.
Next-Session Closing Result
Did the stock still finish in the direction of the original earnings move?
| Next-session result | Setups | Percentage |
|---|---|---|
| Continued in original direction | 111 | 55.8% |
| Reversed original direction | 84 | 42.2% |
| Flat | 4 | 2.0% |
| Total | 199 | 100% |
If we looked only at closing prices, post-earnings momentum would appear fairly fragile.
More than four out of every ten setups had surrendered the directional advantage of the initial earnings move by the following close.
But that does not mean those stocks immediately reversed after the first hourly candle.
Once MFE is added to the picture, the behavior looks very different.
Intraday Continuation Was Much More Common
The strongest finding in the study was the frequency of additional movement in the original earnings direction. 171 of 199 setups, or 85.9%, traveled at least another 3% in that direction after the first hourly candle.
Even at a larger threshold, continuation remained common. 135 setups, or 67.8%, reached at least another 5% in the original direction before the end of the measurement period.
How Far Did the Original Earnings Move Extend?
Percentage of all 199 setups reaching each MFE threshold.
| Additional move | Setups | Percentage |
|---|---|---|
| ≥1% | 188 | 94.5% |
| ≥3% | 171 | 85.9% |
| ≥5% | 135 | 67.8% |
| ≥9% | 88 | 44.2% |
| ≥10% | 78 | 39.2% |
| ≥15% | 40 | 20.1% |
| ≥20% | 18 | 9.0% |
The average MFE across the sample was 9.98%, while the median was 7.95%. Those numbers reinforce the same point: the original earnings move frequently had more room to run after the first hourly candle closed.
Key takeaway: Post-earnings momentum does not necessarily disappear when a stock eventually reverses. In many cases, the momentum continues first.
A setup can therefore show genuine continuation and still produce a negative EOD result.
Looking only at next-day closing returns would miss a large part of the actual price behavior taking place during the session.
ETON Case Study: A Clean +22% Post-Earnings Trend
Eton Pharmaceuticals (ETON) is a strong example of what clean next-day continuation can look like. After reporting a 218.18% EPS beat, 38.09% revenue beat, and raised revenue guidance, ETON surged 20.70% during its first hourly earnings candle.
Instead of fading after such a large initial move, the stock continued trending higher. From the close of that first hourly candle, ETON eventually produced a 22.05% maximum favorable excursion, while moving only 2.04% against the setup at its worst point.
What makes the setup especially relevant to this study is how much of that continuation survived.
ETON finished the following trading day 19.47% above the first-hour close, meaning roughly 88% of its maximum favorable move remained intact at EOD.
ETON therefore represents the cleaner end of the post-earnings momentum spectrum: the stock made a huge initial earnings move, continued another 22%+, experienced very little adverse movement, and held most of those gains through the closing bell. It is a good example of a setup where intraday continuation and EOD persistence were both present.
Continuation and Holding the Move Are Two Different Things
Consider a simple hypothetical. A stock jumps after earnings, and the close of the first hourly candle gives us a $100 reference price.
The next day, the stock rallies to $106 before fading and closing at $98. It clearly continued in the original direction intraday, but it did not preserve that continuation through the close.
That hypothetical belongs simultaneously in the 67.8% of setups that generated at least 5% of favorable movement and the 42.2% that ultimately closed against the original direction. Those two outcomes are not contradictory.
Continuation ≠ Persistence
Momentum continuation tells us whether the move extended. Momentum persistence tells us whether that extension survived through the close.
In this dataset, continuation was common. Persistence was much less certain.
AFRM Case Study: Even A+ Setups Can Reverse
Affirm Holdings (AFRM) is a good example of why strong post-earnings continuation does not always turn into a clean next-day trend.
After reporting a 45.45% EPS beat, strong revenue growth, and guidance above consensus, AFRM produced a +8.02% first-hour earnings candle and initially looked like an A+ bullish setup.
At first, the trade worked almost exactly as expected. From the close of that first hourly candle, AFRM generated a +7.95% maximum favorable excursion, continuing higher through after-hours and premarket trading. In other words, this was not a setup that immediately failed — it produced substantial continuation first.
But after the regular session opened, the trend began to break down. AFRM failed to hold its short-term EMA structure, reversed its opening strength, and eventually closed below the 6-9-12 EMA cloud as sellers took control.
What had looked like a strong continuation setup ultimately turned into a bearish reversal.
That makes AFRM especially relevant to this study.
Even an A+ setup can produce 7–10% of favorable intraday movement and still reverse later. The lesson is not that the original momentum was fake — AFRM clearly continued first. It is that strong intraday MFE does not guarantee that momentum will persist through the rest of the session or into the close.
Bullish vs. Bearish Post-Earnings Continuation
Breaking the sample down by direction adds another layer. There were 114 bullish setups and 85 bearish setups.
Bearish reactions were slightly more likely to remain in the original direction through the close, with a 58.8% EOD continuation rate compared with 53.5% for bullish setups.
Bullish reactions, however, were more likely to generate larger favorable intraday moves.
Bullish vs. Bearish Continuation
Closing persistence and favorable intraday excursion by initial earnings direction.
| Direction | Setups | EOD continuation | ≥5% MFE | ≥9% MFE |
|---|---|---|---|---|
| Bullish | 114 | 53.5% | 71.1% | 49.1% |
| Bearish | 85 | 58.8% | 63.5% | 37.6% |
The directional differences are interesting, but I would not overstate them.
Both bullish and bearish earnings moves showed the same broader behavior: intraday continuation was considerably more common than clean continuation through the closing bell.
Did Breakouts Make Continuation More Reliable?
I also compared EOD continuation rates based on whether the setup was breaking out on the hourly, four-hour, or daily chart.
Breakout setups generally performed a little better, but the differences were modest.
The largest gap appeared on the four-hour timeframe: setups with a four-hour breakout continued through EOD 58.2% of the time, compared with 54.2% when no four-hour breakout was present.
EOD Continuation With and Without Breakouts
Breakouts improved continuation rates slightly, but no single timeframe created a dramatic separation.
| Technical condition | EOD continuation |
|---|---|
| Hourly breakout | 57.3% |
| No hourly breakout | 53.7% |
| 4-hour breakout | 58.2% |
| No 4-hour breakout | 54.2% |
| Daily breakout | 57.5% |
| No daily breakout | 55.3% |
Breakouts appear to provide some confirmation, but they did not transform next-day continuation into a high-certainty event. No single binary breakout variable in this comparison completely explained whether momentum would survive through the next close.
That is useful in itself.
The behavior of a post-earnings setup may depend more on the interaction of several characteristics than on any one technical condition.
What These Numbers Mean for Post-Earnings Momentum Traders
The biggest lesson from this study is that post-earnings momentum often continues intraday, but it is much less reliable by the closing bell.
Continuation Happens More Often Than Closing Returns Suggest
Looking only at the next day’s closing price dramatically understates how often the original earnings move extends. The gap between a 55.8% EOD continuation rate and an 85.9% rate of at least 3% intraday continuation is too large to ignore.
A Stock Can Continue and Reverse During the Same Session
This is the core lesson of the study. A stock can move meaningfully farther in the earnings direction, generate a large favorable excursion, and still finish the day on the other side of the original reference price.
Next-Day Momentum Is Not the Same as a Clean Trend
Even though 85.9% of setups generated another 3% of favorable movement, only 55.8% maintained the original direction through EOD. Continuation was common; clean persistence was not.
Psychology Takeaway
That distinction matters psychologically too. A trader can correctly identify that momentum is continuing and still watch the move disappear later in the session. The issue may not be whether momentum existed at all, but how long that edge lasted.
Conclusion – Does Post-Earnings Momentum Continue the Next Day?
Yes, usually, at least temporarily. But not always.
And that’s exactly why it’s important to understand the full extent of the uncertainty associated with every trade you’ll ever place.
Across the 199 setups I analyzed, 85.9% moved at least another 3% in the original earnings direction and 67.8% moved at least another 5%. But only 55.8% finished the following session farther in that direction.
That gap is the most important finding in the study.
Post-earnings momentum often continues, but the continuation does not always survive until the closing bell.
The data suggests that post-earnings continuation is less about whether momentum exists and more about how long that momentum survives.
If you want to go deeper:
- Explore the Trading Statistics Hub to understand how different sectors behave across market cycles
- Study real setups inside the Trade Reviews section
- Learn the framework behind high-probability setups in the Post-Earnings Momentum Strategy
This is how you turn raw market data into repeatable trading edge.
Frequently Asked Questions About Post-Earnings Momentum
Do stocks always go up after beating earnings?
No. A stock can beat analysts’ earnings estimates and still fall after the report.
Stock prices react to the entire earnings picture, including revenue, forward guidance, margins, management commentary, valuation, and what investors had already priced into the stock. A company can therefore report an EPS beat while disappointing investors somewhere else.
This is one reason I focus on the actual post-earnings price reaction, rather than assuming that an earnings beat automatically creates a bullish setup.
How Often Does Post-Earnings Momentum Continue the Next Day?
In my analysis of 199 post-earnings momentum setups, 55.8% finished the following trading session farther in the direction of the original earnings move.
However, intraday continuation was much more common. 85.9% moved at least another 3% in the original direction at some point, while 67.8% moved at least another 5%.
That means post-earnings momentum frequently continues during the next session without necessarily surviving all the way to the closing bell.
How do I know if a stock will go up the next day?
You don’t know with certainty whether a stock will go up the next day. Trading is a probability problem, not a prediction problem.
After earnings, traders can evaluate factors such as the size and direction of the initial move, earnings and revenue surprises, forward guidance, trading volume, breakouts, and broader market conditions. Those variables may help identify stronger or weaker setups, but none guarantees what a stock will do during the following session.
The goal is to identify repeatable tendencies across many trades, rather than trying to perfectly predict one stock.
What is the 3 day rule in stocks?
The 3-day rule is an informal trading guideline suggesting that investors wait roughly three trading days after a sharp stock decline before trying to buy the dip. The idea is to give heavy selling time to play out instead of immediately attempting to catch a falling stock.
It is not an official stock-market rule and does not guarantee that a stock will stabilize after three days. It also should not be confused with trade settlement rules: most U.S. securities have used T+1 settlement since May 28, 2024.
What is the 10:00 AM rule in stocks?
The 10:00 AM rule is an informal day-trading guideline that suggests waiting until around 10:00 AM Eastern Time before entering a trade.
Because the regular U.S. session opens at 9:30 AM, this allows traders to observe roughly the first 30 minutes of price action before committing capital. The idea is that the opening period can contain unusually high volatility, overnight order imbalances, and false moves, while waiting can allow an opening range and clearer direction to develop.
It is a trading framework, not a market rule, and some strategies specifically target the opening volatility instead of avoiding it.
What is PEAD trading?
PEAD stands for Post-Earnings-Announcement Drift. It describes the documented tendency for stock prices to continue drifting in the direction of an earnings surprise after the earnings announcement rather than instantly incorporating all of the new information.
Traditionally, PEAD research has examined price behavior over weeks or even months following earnings. A PEAD trading strategy attempts to identify and trade stocks where that post-earnings directional movement may persist.
The post-earnings momentum setups I study on Paper Trading Journal focus on a much shorter part of that phenomenon: what happens immediately after the earnings reaction and during the following trading session.
Which trading strategy is the most profitable?
There is no single trading strategy that is consistently the most profitable for every trader or in every market environment.
A strategy’s profitability depends on its actual statistical edge, risk management, transaction costs, position sizing, execution, market conditions, and whether the trader can follow it consistently. A strategy with a high win rate can still lose money if its losses are too large, while a strategy with a relatively low win rate can be profitable if its winners are substantially larger than its losers.
The more useful question is: Does this specific strategy have positive expectancy when tested across a sufficiently large sample of trades?
Can I make $1,000 a day day trading?
It is possible to make $1,000 in a day from trading, but consistently averaging $1,000 every trading day is a very different goal and should not be treated as a realistic guaranteed income target.
The amount a trader can make depends heavily on account size, risk per trade, strategy expectancy, market opportunities, and drawdowns. Trying to force a fixed daily dollar target can also encourage overtrading or taking excessive risk on days when good setups simply are not available.
A more useful approach is to evaluate performance across a large number of trades and focus on expectancy, risk, consistency, and long-term returns rather than a required daily profit number.
References
Bernard, V. L., & Thomas, J. K. (1989). Post-earnings-announcement drift: Delayed price response or risk premium? Journal of Accounting Research, 27, 1–36. https://doi.org/10.2307/2491062
Jegadeesh, N., & Livnat, J. (2006). Post-earnings-announcement drift: The role of revenue surprises. Financial Analysts Journal, 62(2), 22–34. https://doi.org/10.2469/faj.v62.n2.4081
Laforest, J. (2026). Post-earnings momentum database [Data set]. The Paper Trading Journal. https://papertradingjournal.com/post-earnings-momentum-database/
Laforest, J. (2026, August 17). ETON case study: When massive earnings momentum turns into a perfect intraday trend. The Paper Trading Journal. https://papertradingjournal.com/2026/08/17/eton-case-study/
Laforest, J. (2026, August 31). AFRM case study: How to trade post-earnings momentum reversals. The Paper Trading Journal. https://papertradingjournal.com/2026/08/31/afrm-case-study/
Livnat, J., & Mendenhall, R. R. (2006). Comparing the post-earnings announcement drift for surprises calculated from analyst and time series forecasts. Journal of Accounting Research, 44(1), 177–205. https://doi.org/10.1111/j.1475-679X.2006.00196.x
U.S. Securities and Exchange Commission. (2024, May 21). SEC Chair Gensler statement on upcoming implementation of T+1 settlement cycle. https://www.sec.gov/newsroom/press-releases/2024-62
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