What it means
Recency bias is giving too much weight to the latest results. After a winning streak it becomes overconfidence: believing the method or your skill has improved and raising size or loosening rules.
Streaks are normal in any random sequence, including a method with no edge.
Why traders use it
Short samples are noisy. Five wins in a row with a 50% win rate happens about 3% of the time on any given five trades, and often across a long record. Raising size at that point exposes the account to the normal losing streak that follows.
Chart examples
Win streak, then size doubled
How to identify it objectively
- 1Size increases after wins without a rule.
- 2New, untested setups are added during a good run.
- 3Daily limits feel unnecessary.
Bullish use
- 1Increase size only through a written rule tied to account equity.
- 2Review a long sample (100+ trades), not the last week.
Bearish use
- 1Doubling size after a streak is a warning sign.
What confirms it
- Size changes follow a formula, not mood.
What invalidates it
- Size changes based on recent outcomes.
How a hypothetical setup is built
Entry
From your strategy.
Stop
From your strategy.
Target
From your strategy; size fixed as a percentage of equity.
A hypothetical illustration of how the concept is turned into a plan, not a recommendation. Practise it on a paper account first.
Related concepts
- Trading PsychologyRevenge Trading
- Risk Management & StatisticsLook-Ahead Bias and Overfitting
- Risk Management & StatisticsRisk of Ruin
Historical testing
The drawing uses a made-up list of 11 trades: five wins, then six trades at double size (one win, five losses). The account goes from +5R to −3R; at constant size it would end at +1R.
Limitations: when it fails
- Confidence is useful; the problem is acting on short samples.
Knowledge check
Pick an answer to see the explanation. Nothing is saved.