Recency Bias in Trading: Why the Last Trade Dominates the Next
Recency Bias in Trading
Recency bias is the systematic tendency to weight recent information more heavily than older information — even when the older information is statistically stronger. In trading, this shows up as: your last three trades dictating what you think of your strategy, regardless of the 200 trades that came before.
Why it matters
Trading is a variance-heavy activity. A perfectly good 55%-win strategy will regularly produce five-loss streaks. A weak strategy will regularly produce five-win streaks. The last five trades tell you almost nothing.
Recency bias makes traders:
- Abandon profitable strategies after normal losing streaks.
- Double down on unprofitable strategies after normal winning streaks.
- Change position size mid-streak, amplifying the eventual mean reversion.
- Rewrite plans after a single bad session, throwing away months of process work.
The counter
Two ideas neutralise it.
- Trust the sample size, not the streak. If your strategy has produced 200 trades with a positive expectancy, five in a row against you does not change the underlying edge — only your confidence in it. Trust the math.
- Backfill your journal with a rolling summary. At the top of every trading session, look at the 90-day summary: win rate, expectancy, average R, plan adherence. That number is what your strategy is; the last five trades are noise around it.
How EI ALGOS surfaces it
The Trader Intelligence Score is a long-window read on trader evolution — 60 to 180 days. It exists specifically because short-window feelings mislead traders about their own performance. When your Emotion Score drops mid-streak but TIS is stable, that gap is recency bias in action.
EI ALGOS is an educational decision-support platform. Nothing in this article is investment advice.
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