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FAQ
Plain-English answers about stock correlations, Corrlens stats, overlap points, and what the numbers mean.
Correlation is a score from -100% to +100%. It describes how similarly two stocks, assets, or economic series moved over the same dates.
Stock Basics
A stock correlation shows how closely two stocks moved together over the same dates. A positive number means they often moved the same way, a negative number means they often moved opposite ways, and a number near zero means there was no clear pattern.
Positive means the two stocks often moved in the same direction. Negative means they often moved in opposite directions. Near zero means their moves did not show a clear straight-line relationship.
There is no perfect cutoff, but values near +70% or -70% are usually worth paying attention to. Values near +100% or -100% are very strong. Values near 0% are weak.
No. Correlation only describes how two stocks moved together in the past. It does not prove that one stock caused the other to rise or fall.
Corrlens Stats
Corrlens shows the correlation percentage, overlap points, date range used, alignment mode, and dropped counts. These help you judge both the relationship and the data quality behind it.
Overlap points are the matched dates used in the calculation. More overlap usually makes a result more useful. Very low overlap can make a correlation noisy.
Alignment mode is how Corrlens matches the data before comparing it. Daily uses matching days, weekly groups data by week, and monthly groups data by month.
Corrlens cleans the two data series, matches observations by date, keeps only dates where both series have data, and calculates Pearson correlation from those matched pairs.
Markets change. Two stocks may move together during one period and move differently later. A correlation is always about the selected time window, not a permanent rule.
Research Use
Correlations can help you find related stocks, compare markets faster, and decide which relationships deserve deeper research.
Use correlations as a starting point. They can help you spot pairs to compare, check whether two names behave similarly, and find relationships that changed over time.
Yes. Corrlens can compare stocks with other supported market and economic series. The same idea applies: match the dates, then measure how similar the moves were.
Yes. Correlations can rise, fall, or flip when business conditions, interest rates, sector leadership, or investor behavior changes.
Correlation does not prove cause and effect. Results can change when the date range, data quality, overlap count, or market environment changes.