MetricUpdated: 2026-07-09
What is sample weight?
Sample weight is the relative influence a historical IPO has in backtest statistics.
Plain meaning
When a sample has abnormal events, weak liquidity, listing plan changes or different market conditions, its weight may be adjusted so outliers do not dominate conclusions.
Why it matters
Weighting can make comparisons cleaner, but it also affects hit rate, average return and scenario results. Raw sample context still matters.
How to read it
Read it with sample action, exclusion reason, sample period and layer size. Weighting is a comparability signal, not a guarantee of correctness.
How it appears here
Backtest rows can mark trend traps, abnormal moves or sample actions, and the statistics reflect those weights.
Common mistakes
- Looking only at weighted results without sample notes.
- Assuming all IPOs should always be equally comparable.
- Ignoring market structure and liquidity changes.