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A long read · about 14 minutes

Your brain on the market.

Why the market grips you, why a loss pulls you back, what it quietly costs your work and your people, and what decades of research say actually helps.

From the team behind Placebo Markets. Every claim is linked to its source.

Moments you may recognise

It starts with small moments.

Each one has a mechanism behind it. None of them means something is wrong with you.

  1. In a meeting

    Your phone is face down. You turn it over anyway, just to see the price.

    The research

    Cues linked to reward become attractive and “wanted” in their own right, a process called incentive salience 1.

    Read the chapter ↓

  2. After a big win

    You won big. By evening it felt oddly flat, and you wanted the next one.

    The research

    Dopamine neurons respond to surprise, not to reward as such; once a win is expected, the reward itself barely registers 2. Wanting and liking are separable 3.

    Read the chapter ↓

  3. Down for the day

    One more trade. Just to get back to even.

    The research

    People who have just lost are drawn to bets that offer a chance to break even 4. Choosing to chase engages brain areas linked to the expectation of reward 5.

    Read the chapter ↓

  4. 9:15 a.m.

    The market opens and your chest tightens before the first tick.

    The research

    On a trading floor, traders’ cortisol rose with market volatility and with the swings in their own results 6.

    Read the chapter ↓

  5. 2 a.m.

    You meant to check once. An hour later you are still reading charts.

    The research

    After a night without sleep, people showed stronger brain responses to possible gains and weaker responses to losses 7.

    Read the chapter ↓

  6. At your desk

    The report is still open. The course you paid for is stuck on chapter two.

    The research

    When you switch away from an unfinished task, part of your attention stays with it, and the next task suffers 8.

    Read the chapter ↓

  7. At home

    No one at home knows how much is gone.

    The research

    Hiding how involved you are is one of the patterns clinicians look for in gambling problems 9, and the strain reaches partners, children and parents 10.

    Read the chapter ↓

Part one

What the research shows

01 The loop

Your brain does not reward wins. It rewards surprises.

In recordings from midbrain dopamine neurons, the signal tracked the gap between what was expected and what actually happened 2. An unexpected reward produced a burst.

A fully expected one produced almost nothing, because the burst had moved to the cue that predicted it. A missing reward produced a dip.

A second line of research separates wanting from liking. Dopamine appears to give rewards, and the cues that predict them, incentive salience: it makes them attractive and wanted, separately from the pleasure they bring 3.

Together these explain a familiar pattern. The price alert feels urgent, the win fades fast, and the cue keeps its pull.

  1. 01

    The circuit

    The ventral tegmental area (VTA) projects to the nucleus accumbens and the prefrontal cortex.

  2. 02

    Better than expected

    An unexpected reward produces a burst of dopamine activity.

  3. 03

    Just as expected

    Once a reward is predicted, the burst moves to the cue, and the reward itself barely registers.

  4. 04

    Worse than expected

    When an expected reward is missing, activity dips below baseline.

What dopamine neurons appear to signal:

“errors in the predictions of future salient and rewarding events”

Schultz, Dayan & Montague, 1997 2

02 Not knowing

Uncertainty is its own pull.

The same neurons showed a slower, sustained rise in activity that peaked when a reward was most uncertain, at a probability of about one half 11.

Gaming machines pay out on random schedules, and research on these schedules points to early wins and long runs without a win as what shapes continued play 12. Near-misses felt unpleasant, yet increased the desire to play and recruited win-related brain circuitry, but only when players felt in control 13.

Markets supply all three: genuine uncertainty, early wins and trades that almost worked. That does not make trading a slot machine.

It explains why an expiry afternoon can feel like one.

“near-misses invigorate gambling”

Clark et al., 2009 13

03 Losses loom larger

A loss is not the opposite of a gain. It is heavier.

People judge outcomes as gains and losses from a reference point, and losses loom larger than gains of the same size 14.

So people tend to sell winners too early and hold losers too long, the disposition effect 15. In thousands of real trading accounts, investors realised gains more readily than losses 16.

Schematic after Kahneman & Tversky (1979).

04 Chasing

After a loss, the brain wants to get back to even.

People who have just lost are drawn to gambles that offer a chance to break even; people who have just won take more risk with “house money” 4.

In brain imaging, deciding to chase losses was linked to activity in areas tied to incentive motivation and the expectation of reward. Deciding to quit engaged areas linked to anxiety and conflict 5.

Chasing sits at the centre of the compulsive gambler’s spiral 17. A French clinic described patients whose problem was excessive trading, with the same arc: small early wins, chasing, loss of control 18.

In a leveraged market, it compounds.

Illustration, not data.

05 Confidence and churn

The more people trade, the less they tend to keep.

Among 66,465 households at a discount broker from 1991 to 1996, those that traded most earned 11.4% a year while the market returned 17.9% 19.

Men, who in finance tend to be more overconfident, traded 45% more than women. Trading cut their net returns by 2.65 percentage points a year, against 1.72 for women 20.

Design adds to it. In an Ontario Securities Commission experiment, a simulated app that handed out near-worthless points led to 39% more trades 21.

“trading is hazardous to your wealth”

Barber & Odean, 2000 19

06 The body keeps the books

Volatility gets under the skin.

On a London trading floor, a trader’s morning testosterone predicted his day’s profitability, and his cortisol rose with the volatility of the market and the variance of his results 6.

Raising cortisol in volunteers over eight days shifted their attitude to financial risk 22. After a night without sleep, people showed stronger brain responses to possible gains and weaker responses to losses 7.

A late session after a bad day stacks stress, sleep loss and the urge to get even.

Illustrative, after the findings of Coates & Herbert (2008). Not data.

“cortisol is increased by risk”

Coates & Herbert, 2008 6

07 The hidden cost

Every check costs more than the minute it takes.

When people switch away from an unfinished task, part of their attention stays behind. Leroy called it attention residue, and found it makes the next task harder to do well 8.

People who were interrupted at work made up for it by working faster, at a price: more stress, frustration, time pressure and effort 23.

An open position is an unfinished task that never quite ends. The real cost of a trading habit is rarely only money.

It is the focus taken from your work, your skills and the people who need you.

Illustrative, after the idea of attention residue (Leroy, 2009). Not data.

08 Where trading meets gambling

Not a diagnosis. But the patterns overlap.

Clinicians describe gambling disorder by its patterns. In DSM-5-TR, at least four of nine criteria over twelve months are required, among them returning another day to win back losses, lying to hide how involved you are, and risking a relationship, job or career opportunity 9.

ICD-11 (6C50) describes impaired control, rising priority over other interests, and carrying on despite harm 24.

Studies of traders find a real overlap. In South Australia, most day traders were heavily involved gamblers, with higher rates of problem gambling than other gamblers 25.

Among 795 US gambler-investors, trading more often went with higher problem-gambling scores, even after allowing for overconfidence and financial literacy 26. Crypto trading shows a similar link 27.

Read more

The harm rarely stays in one place. In population surveys, people with gambling problems had high rates of mood disorders (37.9%) and anxiety disorders (37.4%) 28, and the strain reaches partners, children and parents 10.

Trading is not a disorder, and most people who trade will never meet these descriptions. If some of them sound familiar, that is worth taking seriously, and help exists.

09 India, FY26

Behind every percentage, a person.

  • 87.7%

    of individual traders in equity F&O ended FY26 with a net loss 29.

  • 43%

    of those traders were under 30 29.

  • 88.55%

    of traders under 30 made a loss 29.

  • 93×

    Traders under 30 traded 93 times the value of their equity portfolios in a year 29.

10 Six patterns

The habits that keep turning up in losing trades.

Studies of real brokerage and trading accounts describe the same few patterns again and again. They are habits of behaviour, not diagnoses, and one person can show several.

  1. The Hoper

    Sells winners fast, holds losers and waits for them to come back.

    Selling winners too early and riding losers too long has a name: the disposition effect 15. In 10,000 brokerage accounts, investors sold gains far more readily than losses, and the winners they sold went on to beat the losers they kept 16.

  2. The Avenger

    After a loss, has to win it back the same day.

    After a loss, people accept risks they would normally refuse when the bet offers a way back to even 4. Professional futures traders who lost in the morning took more risk in the afternoon 30. Returning to win back losses is one of the nine criteria doctors use to assess gambling disorder 9.

  3. The Overtrader

    Feels that an open market should always mean an open trade.

    The households that traded most earned 11.4% a year after costs, against 17.9% for the market 19. Men traded 45% more than women and lost more of their return to it, a pattern the authors tie to overconfidence 20.

  4. The Lottery Buyer

    Buys cheap options for the one expiry that pays for everything.

    Individual investors lean towards lottery-like bets: cheap, with a small chance of a very large payoff, and on average they lose on them 31. In FY26, 87.7% of individual traders in India’s equity derivatives ended the year with a net loss 29.

  5. The Chaser

    Buys what everyone is talking about, after it has already moved.

    Individual investors are net buyers of stocks that are in the news, trade on unusual volume or have just had an extreme day. Attention, not analysis, decides what gets bought 32.

  6. The Giver-back

    Up in the morning, flat or down by the close.

    After a gain, people take more risk with money that feels like the house’s, not their own 4. The habit hides inside winning days, so it is easy to miss.

None of these is a diagnosis. Chasing losses becomes a clinical concern when it comes with loss of control and harm, which is what a doctor assesses 9.

11 What helps

Small, boring techniques with good evidence.

They work best when set up before the moment you need them.

  1. 01

    If–then plans

    Deciding in advance “if X happens, I will do Y” is an implementation intention 33. Across 94 tests, forming one had a medium-to-large effect on reaching goals (d = 0.65) 34.

  2. 02

    Decide while calm

    Commitment devices bind your future self while you are calm 35. In a randomised experiment, letting people set limits on their future screen time substantially reduced their use 36.

  3. 03

    Move the cue

    Habits are triggered by the contexts they were learned in, often without any goal in mind, so managing the cues matters as much as willpower 37. Taking a real-money app off your home screen is one small example.

  4. 04

    Keep score of yourself

    Across 138 randomised studies, monitoring progress towards a goal improved attainment (d = 0.40), more so when the record was written down 38.

  5. 05

    Rehearse under pressure

    Stress inoculation training rehearses coping in controlled, stressful conditions. Across 37 studies it reduced anxiety and improved performance under stress 39.

  6. 06

    Let the urge pass

    Mindfulness-based relapse prevention teaches people to notice a craving and let it rise and fall without acting on it. In a randomised trial in substance-use aftercare it reduced relapse risk compared with treatment as usual 40. Trading is a different setting; the skill of noticing the pull travels well.

Part two

How Placebo Markets fits

12 A practice ground

Have the rush here. Give your focus to what matters.

Pilots meet engine failures in simulators long before they meet one in the sky. Rehearsing in safety makes the real moment less new.

Placebo Markets is a fictional market with no real money. The charts, the pace and the decisions feel real; the stakes do not.

Keep it where the real-money app used to be, have the thrill here, and give your best hours to the work and the people that matter.

It is not a treatment, it has not been tested in a clinical trial, and it cannot promise to reduce losses. It is a place to practise the techniques above, where mistakes cost nothing.

Join the beta
  • Rehearse crash days and rally days
  • Practise restraint after a loss
  • Notice the pull before acting
  • Review your patterns over time

If you are reading this after a bad day

Behind the 87.7% are millions of people: students, engineers, shopkeepers, parents. Many told no one. Losing money, and losing control of how you trade, is far more common than it feels from the inside, and it is nothing to be ashamed of.

You do not have to fix it alone, and you do not have to fix it tonight.

Your attention is the most valuable thing you own. Every hour it spends on a ticker is an hour taken from the work you are actually good at, and from the people who need you. Getting those hours back is the real win.

References

Every figure on this page was checked against the linked source (24 and 29 October 2026). Diagrams marked “schematic” or “illustrative” show the shape of a finding, not data.

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  3. 3Berridge & Robinson, 1998. What Is the Role of Dopamine in Reward: Hedonic Impact, Reward Learning, or Incentive Salience?. Brain Research Reviews 28(3), 309–369.
  4. 4Thaler & Johnson, 1990. Gambling with the House Money and Trying to Break Even. Management Science 36(6), 643–660.
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  6. 6Coates & Herbert, 2008. Endogenous Steroids and Financial Risk Taking on a London Trading Floor. PNAS 105(16), 6167–6172.
  7. 7Venkatraman, Chuah, Huettel & Chee, 2007. Sleep Deprivation Elevates Expectation of Gains and Attenuates Response to Losses Following Risky Decisions. Sleep 30(5), 603–609.
  8. 8Leroy, 2009. Why Is It So Hard to Do My Work? The Challenge of Attention Residue When Switching between Work Tasks. Organizational Behavior and Human Decision Processes 109(2), 168–181.
  9. 9American Psychiatric Association, 2022. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR): Gambling Disorder. American Psychiatric Association Publishing.
  10. 10Kalischuk, Nowatzki, Cardwell, Klein & Solowoniuk, 2006. Problem Gambling and Its Impact on Families: A Literature Review. International Gambling Studies 6(1), 31–60.
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  21. 21Ontario Securities Commission, 2022. Staff Notice 11-796: Digital Engagement Practices in Retail Investing: Gamification and Other Behavioural Techniques (17 November 2022). OSC Investor Office.
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  29. 29SEBI, 2026. Profitability of Individual Traders in the Equity Derivatives Segment (FY25–FY26), 20 August 2026. pp. 6–7, 47, 68–69.
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  34. 34Gollwitzer & Sheeran, 2006. Implementation Intentions and Goal Achievement: A Meta-analysis of Effects and Processes. Advances in Experimental Social Psychology 38, 69–119.
  35. 35Bryan, Karlan & Nelson, 2010. Commitment Devices. Annual Review of Economics 2, 671–698.
  36. 36Allcott, Gentzkow & Song, 2022. Digital Addiction. American Economic Review 112(7), 2424–2463.
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