Recency Bias And Recent Trade Memory
The recent trades are the ones you can see clearly, which is exactly why they feel like the current state of things.
Recency bias is weighting recent events more heavily than they deserve, and in trading it means judging a whole approach on its last few trades. A method that resolves in your favour four times in ten produces a completely blank five-trade window roughly once every thirteen windows, so short losing runs are ordinary. Review in blocks of 30 to 50 trades and keep a rolling fifty-trade figure visible next to recent results.
What to remember
- Blank runs are routine. At four in ten, a five-trade window with no winners appears about once every thirteen windows, several times a year.
- Attachment after a short winning run is the same bias as abandonment after a short losing run, just with the sign reversed.
- Widening a stop after a stop-out and tightening after a winner corrupts the arithmetic of every trade that follows.
- Tell variance from breakage by looking at inputs. Check execution grades, average size, conditions, and whether losses exceed one planned unit of risk.
- A rolling fifty-trade figure written at the top of the journal puts context physically next to the feeling, which works better than resolve.
Lesson 16 of 20 in Trading psychology
The last five trades are not a verdict
Three losses in a row can make a tested approach feel broken. Recency bias is the reason: recent events get more weight than they deserve simply because they happened most recently. In trading it produces one specific and costly error: judging an entire approach on its last handful of results, then changing it, which means you are permanently running something you have never actually tested.
The reason it feels justified is that the recent trades are the ones you can see clearly. The forty before them have blurred into a general impression, so a bad run does not feel like part of a longer record. It feels like the current state of things.
How ordinary a blank run really is
Put a number on it. Take a method that comes good on four trades out of every ten, which is entirely normal when the targets are large. How often does a five-trade window contain nothing but losses?
| Trades that work, on average | Chance a five-trade window has no winners | Roughly once every |
|---|---|---|
| 3 in 10 | 16.8% | 6 windows |
| 4 in 10 | 7.8% | 13 windows |
| 5 in 10 | 3.1% | 32 windows |
| 6 in 10 | 1.0% | 98 windows |
At four in ten, a completely blank five-trade stretch turns up about once in every thirteen windows. Trade 200 times a year and you will meet several, with nothing wrong with the method at all. If each of those triggers a rewrite, you will have traded five different systems by December and tested none of them. The depth those runs reach is worth modelling in advance with the drawdown calculator, so the number is familiar before it is personal.
Why the bias is worse in trading than elsewhere
Most activities give you feedback that is broadly proportional to your input, so recent results are a reasonable guide. Trading does not. The link between decision quality and outcome is loose in the short run and only tightens across a large sample, which means the most recent data is also the least informative, and it is the data your attention is drawn to. The result is a feedback loop pointing the wrong way: the worse the sample, the more vivid it is.
Screen time makes it worse. A running balance updates constantly, so the most recent result is never more than a glance away, while the fifty-trade picture exists only if you deliberately build it. Whichever number is easier to see is the one that will shape your decisions, and by default that is the one that means least.
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Recency Bias And Recent Trade Memory: questions
How many losing trades in a row means my strategy has stopped working?
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