Sample size

Trader's Glossary · Process and risk

Sample size

Definition. The number of observations conclusions are drawn from. The smaller the sample, the bigger the influence of chance on the result.

How it works

Tversky and Kahneman (1971) described the “law of small numbers”: the tendency to expect a small sample to faithfully reflect the whole. In reality, short series of results are very variable.

Example

Ten trades are too few to judge a method's win rate. Even a good method can show more losses than wins over such a short series.

What to watch out for

Don't change your method after a few results. Judge it on as many decisions as possible made by the same rules.

See also

Win rate, Overfitting, Gambler's fallacy.

More in Hetman Capital Club

You'll find the full explanation with graphics, examples and exercises in the 🧘 Trader's body and mind space, and its use in the live market in the 🔴 Live Room. Both are available to Club members (in Polish).

Educational content, not investment advice.