Confidence
A High / Medium / Low rating that captures how complete the input data is and how decisive the score is.
Definition
Confidence is a label that tells you how much weight to put on a quant score for a given stock. Two scores with the same composite number can mean very different things: a 75 computed from complete data on a well-covered stock is much more meaningful than a 75 with 40% of the underlying metrics missing.
In statistics, this distinction is the difference between a point estimate and the variance around that estimate. A confidence label is a deliberately simple way to communicate the same idea without forcing readers to read error bars.
How QScoring uses it
QScoring rates each stock's score as High, Medium, or Low confidence. High requires data completeness of at least 85% AND a decisive composite (≥70 or ≤30). Medium requires completeness of at least 75% but the score sits in the indecisive 30–70 range. Low means completeness is below 60%, or some category had so little data that it couldn't be evaluated. The full table is in the confidence section.