What recency bias is
Recency bias is the habit of giving recent events more weight than older ones when you judge what is likely to happen next. It is one of several cognitive biases in trading. A cognitive bias is a predictable error in judgement, not a lack of intelligence.
In trading, it usually means letting the last few trades or the last strong price move decide your view, while the longer record gets ignored.
Behavioural-finance research ties this to the availability heuristic, described by psychologists Amos Tversky and Daniel Kahneman. People judge how likely something is by how easily examples come to mind, and recent, vivid events come to mind fastest. Later work by Werner De Bondt and Richard Thaler on investor overreaction found that markets can overreact to recent news and recent performance. These findings describe tendencies. They do not give anyone a reliable edge.
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How recency bias shows up in trading
After a winning run
A run of wins feels like proof that a method "works now". Traders then raise position size, loosen their rules or skip their checklist. The run may simply be variance, meaning normal random swings in results. See Overconfidence for the same pattern from another angle.
After a losing run
Recent losses can make a sound plan look broken. Traders drop it, switch to something new, and judge the new method on its first handful of trades too. Losing streaks covers how to read a bad run without abandoning everything.
After a strong price move
When a currency pair, gold or an index has moved hard in one direction, the move starts to feel like the "normal" state. Traders project it forward and chase it, which links closely to FOMO in trading. They may also forget how volatile the instrument has been over longer periods and set stops based only on the latest quiet or busy stretch.
Reading news
The latest headline, central bank decision or social media post often feels more important than the wider picture. Fundamental analysis and Social media hype go into this further.
Why larger samples matter
A small number of trades says very little about whether a method has any value. Wins and losses cluster by chance, so a short window can look excellent or terrible for reasons that have nothing to do with skill.
A larger sample helps in these ways:
- It shows the range of outcomes a method produces, including drawdowns. A drawdown is a fall from a peak in account value.
- It shows how results change across different market conditions, not just the current one.
- It lets you separate rule-following trades from impulsive ones.
Even a large sample does not guarantee future results. It only gives you a less distorted view of the past. Leveraged forex and CFD trading can lose money quickly whatever your sample size.
Practical exercises
| Exercise | What you do | What it checks |
|---|---|---|
| Full-record review | Before changing a rule, look at your whole trading journal, not the latest week | Whether the problem is real or just recent |
| Fixed review dates | Evaluate your method only on set review days, not after each trade | Reaction to single outcomes |
| Longer chart window | Before a trade, zoom out to a higher timeframe and earlier periods | Projecting the latest move forward |
| "Would I take this anyway?" | Ask whether you would take the trade if your last results had been the opposite | Mood carried over from recent trades |
| Size lock | Decide position size by a written rule, not by recent wins or losses | Size creeping up after a winning run |
| Practice account testing | Test rule changes on a demo before using them with real money | Switching methods after a bad run |
A trading journal is the base for most of these. Record the setup, reason, size, outcome and whether you followed your rules. Process vs outcome explains why judging the process matters more than any single result.
To test sizes and risk per trade, the Calculators page can help. For demo practice, see Demo account.
Related biases
Recency bias often works together with:
- Confirmation bias: looking only for evidence that supports your current view
- Anchoring bias: fixing on a recent price as a reference point
- Gambler's fallacy: expecting a run to "have to" reverse
- Overtrading: trading more after recent wins or to recover recent losses
For the wider picture, see Trading psychology and Risk management.
Frequent questions
Is recency bias always wrong?
Not always. Recent information can be relevant, for example a new central bank decision. The bias is giving recent events more weight than the evidence supports and ignoring the longer record.
How many trades make a large enough sample?
There is no single answer. It depends on how often your method trades and how much results vary. The point is to judge on far more than the latest handful of trades and to check across different market conditions.
Will fixing recency bias make me profitable?
No. Working on psychology can reduce some avoidable mistakes, but it does not lead to profit. Many traders lose money with leveraged products, whatever their mindset.
What is the simplest first step?
Keep a trading journal and review it on fixed dates. This shifts your attention from the latest trade to the whole record.