Skip to content
GetProfitable
Search
Dictionary

Narrow framing

Judging each trade in isolation instead of as one draw from a long sequence, which makes normal losses feel like catastrophes.

A single trade viewed alone is a coin flip you either win or lose. The same trade viewed as number 214 of several thousand is a routine sample from a distribution with positive expectancy.

Narrow framing makes losses unbearable and therefore makes rule-breaking irresistible. If this trade must work, moving the stop is reasonable. If this trade is one of thousands, moving the stop is vandalism of the whole series.

Widen the frame on purpose. Review in blocks of twenty or fifty trades. Report results in R. Put the equity curve, not the current position, on the screen you look at most.

Related: myopic-loss-aversion, sample-size, expectancy, r-multiple

See it drawn

Original diagrams for the ideas on this page. Illustrative, not real market data.

The spread of outcomes behind an expectancyA histogram of forty trades: a tall block of small losses on the left, a low spread of larger wins on the right, and a line marking the average outcome.NUMBER OF TRADES051024 LOSSES, AVG −$20016 WINS, AVG +$600EXPECTANCY +$120−$400−$200$0+$200+$400+$600+$800PROFIT OR LOSS PER TRADEexpectancy = (40% × $600) − (60% × $200) = +$120 per trade
Expectancy: the average trade. Forty trades sorted by outcome: 24 small losses and 16 larger wins. Weighting each side by how often it happens gives the average result per trade, marked here by the dashed line at +$120.

Educational only, not advice. Spotted an error? Post in Site Feedback.