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What is recency bias in trading?

In one line: Recency bias is giving the most recent events, like your last few trades, more weight than they deserve compared with the bigger picture.

Trading glossary · Updated 2026-10-21

The idea

What just happened feels most true. That's normal. It's also how a few trades can talk you out of a good plan.

A simple example

You've logged 100 practice trades with one set of rules. Here's the record:

• 45 wins, 55 losses.
• Average win 2R, average loss 1R. (1R is the amount you risk on a trade.)

That's an Expectancy of (0.45 × 2) − (0.55 × 1) = +0.35R per trade in this sample. A math example, not a promise.

Then the next 4 trades lose. Recency bias says, "This doesn't work anymore."

But a 45% win rate means 4 losses in a row will show up from time to time. Check how often with the losing streak calculator. Four trades can't outvote a hundred.

It works the other way too. Three big wins in a row and you feel unbeatable. That's when people double their size.

Why it matters

Recency bias makes you change rules at the worst moments:

• Dropping a plan right after a normal losing streak.
• Raising size right after a lucky run.
• Chasing whatever market just moved the most.

Good decisions come from a big enough sample size, not the last few days.

A common mistake

Rewriting your rules after every bad week. Then you never get 50–100 trades on any one version. You can't tell if anything works. See how to handle a losing streak.

Questions