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Tables use 14-day global item stats to choose competing items. Popular items are included (seen on most realms) and chosen among those are market intensive items (those constituting top 15% by total auction house posted value). For these items on local AH, linear regression is calculated for the last 14 days and used as price trend.


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For each profession, a sum of posted popular products is calculated. An average of this sum across last 14 days is found. Items are chosen based on global popularity.
Final value represents a daily average volume of popular profession products on a realm.
This value is compared to average Market Volume of this realm's AH in the same period to determine each profession's average market share.