There's a single number that decides whether your next trade is a genuine 2:1 setup or a coin flip, and it has nothing to do with the stock, the coin, or the setup you picked.

It isn't your stop loss.

It isn't your position size.

It isn't the indicator still loading on your screen.

It isn't even the trade itself.

It's something that happens in the handful of seconds between when you first saw the setup and when you actually clicked buy.

Traders have a name for it. They call it the chase.

There's a hard line buried inside it, one exact percentage point where a textbook 2:1 setup turns into a coin flip, before a single candle even closes.

A fixed stop and a fixed target stay put no matter where the entry lands.

That means every second of hesitation, or every second of pure FOMO, is doing math against you, whether you're watching it happen or not.

A separate, much bigger version of the same pattern shows up in a well-known annual study of ten years of fund investor behavior, the kind of study that tracks actual dollars, not opinions.

It found investors giving back a measured share of their own funds' returns, for a reason that had nothing to do with picking the wrong fund.

Two simulations built for this report, one running 20,000 accounts and one running an exact probability calculation, both landed on the same conclusion from two completely different directions.

The exact line, the math behind it, the study, and what it does to an account over 100 ordinary trades are all laid out below, with the page number where each piece lives.

The Chasing Trade — a Trading Habits report cover

A Trading Habits Report

The Chasing Trade

What buying after the move already happened costs, worked out in full.

  • Length 20 pages, with 8 original charts and two worked hypothetical case studies
  • Author TradingHabits.com
  • Format PDF, delivered as an instant download right after checkout
  • Covers The research and psychology behind chasing an entry, the exact risk-to-reward math a chase destroys, a 20,000-account Monte Carlo simulation, and what to do instead

This report breaks down the research, the math, and the numbers on one specific decision.

What's Inside

20 Things This Report Actually Says

  • 01The 4 exact situations that turn a plan into a chase, and the 1 thing they all have in common.Page 3
  • 02Psychologists gave this feeling a name in 2013. It has nothing to do with willpower.Page 4
  • 03The same buying pattern shows up in individual traders and in Wall Street fund managers. One 1999 study proved it.Page 4
  • 04How a 10-year study found investors giving back 15% of their own funds' gains, without a single bad pick.Page 5
  • 05The exact difference between what bitcoin ETFs returned and what the average investor actually walked away with, from January 2024 through June 2026.Page 6
  • 06Why a 2:1 setup and a 1:1 setup can be the exact same trade, seconds apart.Page 7
  • 07The precise chase percentage where a winning trade's reward hits zero, before a single candle closes.Page 7
  • 08What a backtest says versus what the fill actually said, laid out on one curve.Page 8
  • 09The term researchers use for why a fund that already went up gets easier to justify buying.Page 9
  • 10The stylized chart showing exactly where new investor money goes, and where it refuses to go.Page 10
  • 11A $5,000 account, a $50 risk budget, and a 2% chase, walked through dollar by dollar to its breakeven-minus ending.Page 11
  • 12Same stock. Same setup. Same day. What an 11-second difference in entry timing actually did to the account line.Page 12
  • 13The one decision a news-spike trade got backward, and it wasn't the entry.Page 13
  • 14-$50 versus +$76 on the identical stock, the identical day. What changed between the two rows.Page 13
  • 15Two modeled traders, one number apart in expectancy. What that difference actually means after enough trades.Page 14
  • 16What happened to all 20,000 disciplined accounts. What happened to all 20,000 chaser accounts. Not one exception either way.Page 15
  • 17Why a losing streak shows up faster for one entry habit than the other, and it isn't bad luck.Page 16
  • 18The exact dollar difference between two entry habits after 100 ordinary trades, no crash required.Page 17
  • 19The 2 numbers traders report about their own rule-breaking, straight from industry survey data.Page 18
  • 20The 1 line traders can pre-decide before the trigger even prints, and why it has to be written down first.Page 19
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Behind The Report

FOMO And Herding

Illustration of a lone arrow trailing behind a tight cluster of arrows already pulling away together, representing FOMO and herd behavior in a chase entry.

By the time the move is obvious enough to chase, the herd is already most of the way there.

The Concept

FOMO is the discomfort of watching something move without you in it. In a trading account it turns into an entry taken after the setup that justified it is already gone, at a price the original plan never would have accepted.

Herding is the closely related habit of buying because other people are buying, using their action as a stand-in for a signal of your own.

Where It Comes From

FOMO existed as internet slang for years before psychologists gave it a formal definition. Andrew Przybylski, Kou Murayama, Cody DeHaan, and Valerie Gladwell published the first academic measurement of it in a 2013 Computers in Human Behavior paper, building a scale to measure the feeling instead of only naming it.

Herding in markets has a longer paper trail. John Nofsinger and Richard Sias documented it directly among institutional and individual investors in a 1999 Journal of Finance study, and Erik Sirri and Peter Tufano's 1998 Journal of Finance research showed the same chasing behavior in how money flows into mutual funds right after their best returns, arriving exactly when the edge is most likely already spent.

What Chasing An Entry Does To Risk-to-Reward

3.0 : 1 Entry at plan 1.0 : 1 Chased 33% in 0.33 : 1 Chased 67% in 0.14 : 1 Chased 83% in

Illustrative setup: entry $50, stop $48, target $56, a 3:1 plan. Buy at $52 instead and the same stop and target now risk $4 to make $4. Buy at $54 and it's risking $6 to make $2. The stop and target never moved. Only the entry did.

Try It: Watch The Ratio Collapse As You Chase

$2.00Risk To Stop
$6.00Reward To Target
3.00 : 1Risk-To-Reward

Same setup as the chart: stop at $48, target at $56, entry planned at $50 for a 3:1 trade. Drag the slider to chase the entry higher toward that same target. The stop and target never move. Only the ratio does.

Background only. The report itself works the exact risk-to-reward math a chased entry destroys, and runs it across a 20,000-account simulation.

Common Questions

Is FOMO a real, measured thing or just internet slang?

Both, in a sense. FOMO existed as internet slang for years before psychologists Andrew Przybylski, Kou Murayama, Cody DeHaan, and Valerie Gladwell built the first academic scale to measure it, in a 2013 Computers in Human Behavior paper.

Does herding show up in markets specifically, not just individual traders?

Yes. John Nofsinger and Richard Sias documented herding among institutional and individual investors in a 1999 Journal of Finance study, and Erik Sirri and Peter Tufano found the same chasing pattern in money flowing into mutual funds right after their best returns.

How much does chasing an entry actually change the trade's math?

A lot, without the stop or target ever moving. A planned $50 entry with a $48 stop and $56 target is a 3:1 trade. Buy at $52 instead and the same stop and target become a 1:1 trade. Buy at $54 and it's 0.33:1.