Gambler’s Fallacy and Hot-Hand Fallacy

The gambler’s fallacy is believing that a random outcome is “due” after a streak — for example, that five losing trades in a row make a win more likely. The hot-hand fallacy is the opposite mistake: believing a winning streak will continue without evidence.

After five losing trades, it is tempting to think a win is 'due' and to trade bigger. After five wins, it is tempting to think you are 'hot'. Both feelings treat a streak as if it changes the odds of the next trade, when each trade is mostly independent of the last.

Category
Trading Psychology and Performance
Reading time
4 min
Also called
Gambler's fallacy, Hot-hand fallacy, Monte Carlo fallacy
Updated

The two fallacies in plain words

Research links it to the “law of small numbers”: people underrate how often streaks happen purely by chance.1

In trading, it means expecting a trade to turn out a certain way because of what happened before, with no real evidence.2

The hot-hand fallacy is the mirror image: a CFA Institute review notes investors may overestimate how much a short sequence of observations represents the underlying process.3

How to avoid streak thinking

  1. Expect streaks

    NBER notes it is easy to believe that streaks don't occur by chance; with a 50% Win Rate, runs of losses are normal.4

  2. Keep size fixed

    Use the same Risk per Trade regardless of the last result.

  3. Judge each setup alone

    Ask whether this setup meets the Trading Plan, not what happened before.

  4. Use current analysis

    IG suggests basing decisions on up-to-date analysis and a clear risk-to-reward ratio.2

  5. Check the sample

    Look at many trades in your Trading Journal, not the last five.

  6. Use loss limits

    Stop for the day at a set loss to avoid chasing a 'due' win with Daily and Weekly Loss Limits.

Worked examples

Example 1 — 'A win is due'

Loss doubled

After five hypothetical losses, a trader doubles size because a win 'must' come next.

Example 1 — 'A win is due' — calculation
Losing streak5 trades
Doubled-size trade−2R

Betting on a reversal “because it's due” — with no evidence — made the loss bigger.2

Example 2 — 'I'm on a hot streak'

Streak erased

After four hypothetical wins, a trader skips the checklist and triples size.

Example 2 — 'I'm on a hot streak' — calculation
Winning streak4 trades
Oversized trade−3R

Overestimating what a short sequence says about the underlying process gave back most of the streak.3

Example 3 — Steady size through a streak

Edge preserved

A hypothetical trader with a tested edge keeps risk at 1R through six losses and the following run of wins.

Example 3 — Steady size through a streak — calculation
Losses in a row6
Result over 50 trades+8R

Basing decisions on up-to-date analysis and a clear risk-to-reward ratio let the edge play out.2

Gambler's fallacy vs hot-hand fallacy

AspectGambler's fallacyHot-hand fallacy
BeliefA reversal is dueThe streak will continue
Typical triggerLosing streakWinning streak
Common actionBigger size to win backBigger size to ride luck
FixFixed risk per tradeFixed risk per trade

Where these fallacies appear

  • After losing streaks

    Revenge trades and Tilt.

  • After winning streaks

    Overconfidence and oversizing.

  • Mean-reversion calls

    Assuming a Trend 'must' reverse.

  • Position sizing

    Changing Position Sizing after streaks.

Advantages and disadvantages

Advantages

  • Knowing the fallacy protects your size rules.
  • Normal streaks feel less alarming.
  • Encourages judging trades on merit.

Disadvantages

  • Streak feelings are strong.
  • Real regime changes can look like streaks.
  • Fixed size feels slow after wins.
  • Hard to accept long losing runs.

Going deeper

Read as far as you need. Each level builds on the one before it.

Streaks are normal

Beginner

NBER research finds people underestimate the likelihood of streaks occurring by chance, leading to errors.1

Who is affected

Intermediate

The NBER digest says the fallacy is more evident after longer streaks in the same direction, and the paper finds it stronger among less experienced decision-makers.1

Small samples

Advanced

People who believe in the law of small numbers expect short sequences to even out quickly.3 For trading, judge an edge over many trades, not a handful.

Common mistakes

  1. Doubling after losses

    A 'due' win is not guaranteed.

  2. Oversizing after wins

    Luck is not skill.

  3. Reading meaning into short runs

    Small samples are noisy.

  4. Abandoning a tested edge

    Normal streaks are not proof it failed.

Check your understanding

Test yourself before moving on. Each answer comes with an explanation.

Q1After five losses on an independent setup, the next trade's odds are…
Q2What is the hot-hand fallacy?

Key points to remember

  1. Streaks happen by chance.
  2. A win is never 'due'.
  3. Hot streaks are not proof of skill.
  4. Keep risk per trade fixed.
  5. Judge edges over many trades.

Frequently asked questions

Are trades really independent?

Often close to it, which is why streaks are normal.

Should I stop after a losing streak?

A preset loss limit is better than guessing.

Is a hot hand ever real?

Skill exists, but short streaks rarely prove it.

Further learning

Sources

This article is written in our own words. The sources below support the specific facts, rules and figures marked with a number in the text. Links open the original publisher’s page.

  1. NBER. Decision-Making under the Gambler's Fallacy: Evidence from Asylum Judges, Loan Officers, and Baseball Umpires (opens in a new tab) Checked .
  2. IG. Six financial trading biases that may cloud your judgement (opens in a new tab) Checked .
  3. CFA Institute. Behavioral Finance: Theories and Evidence (opens in a new tab) Checked .
  4. NBER. The Gambler's Fallacy (opens in a new tab) Checked .

Educational content, not financial advice. Examples use hypothetical prices and simplified costs; actual fees, margin rules and regulations vary by broker, market and country. We are not affiliated with any publisher linked above. Last reviewed . Report an error or request a source credit.