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Behavioural research shows that losses hurt about twice as much as equivalent gains feel good. That asymmetry, loss aversion, shapes trading behaviour.

A position in profit triggers the urge to lock the gain quickly, since a reversal would hurt. A position at a loss triggers the opposite: holding on, hoping for a return, avoiding the pain of realising the loss.

The result is a pattern many journals reveal: winners cut short, losers allowed to run. Average win ends up smaller than average loss, and even a high win rate fails to cover it.

The fix lies in mechanics. Placing stop and target orders at entry removes the decision from the moment of discomfort. The plan is executed by the platform, not by emotion.

Reviewing the average holding time of winners versus losers is a quick check. If losers last longer, loss aversion is at work.

What does the comparison of average holding time for winners and losers show in the journal here?

When I first ran that comparison my losers lasted roughly three times as long as my winners on average, which was a bit of a shock because I thought of myself as disciplined. The losing trades were not even big individually. They just sat there while I waited for them to come back to breakeven, and some of them did, which only reinforced the habit.

The fix that worked for me was simple. Every order now goes in with a hard stop and target attached, and I am not allowed to widen the stop at all once the trade is live. I can still close early, but only for a reason written in my plan, like a news release coming up or the spread blowing out.

After two months of that, the gap in holding time shrank to almost nothing and my average loss fell noticeably. My win rate actually dropped a little, because some of those trades that used to limp back to breakeven now hit the stop, but the overall result was clearly better.