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Pattern: Dress Shoes

CommonTailoring
Open in the auction house

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Price

Last scan Nov 5, 2026, 18:00 UTC

Market value on Eredar (EU)

4,411g 48s 0c
Lowest buyout
4,411g 48s 0c
Listings
1
  • Regional auction data, hourly
  • 28 scans
How prices are measured
  • Pattern: Dress Shoes
  • Item Level: 1
  • Tailoring
  • Sell price: 12s 50c
Sources: 1 recipe

Sources

Recipe, 1 source

  • a pair of Dress Shoes

Most sources come from published game data.

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Market

Eredar (EU)

Price History

Eredar (EU)
Low
2,571g 41s 0c
Average
3,885g 74s 57c
High
4,411g 48s 0c
Samples
28
The 7-day average needs at least a week of history; pick a wider range than 1D.Show the 7-day average market price
Price history for Pattern: Dress Shoes, 1 week, Eredar (EU); days with data: 4
Time (UTC)Lowest buyoutAverageQuantity
Nov 2, 092,571g2,571g1
Nov 2, 122,571g2,571g1
Nov 2, 152,571g2,571g1
Nov 2, 182,571g2,571g1
Nov 2, 212,571g2,571g1
Nov 3, 002,571g2,571g1
Nov 3, 032,571g2,571g1
Nov 3, 062,571g2,571g1
Nov 3, 094,411g4,411g1
Nov 3, 124,411g4,411g1
Nov 3, 154,411g4,411g1
Nov 3, 184,411g4,411g1
Nov 3, 214,411g4,411g2
Nov 4, 004,411g4,411g2
Nov 4, 034,411g4,411g2
Nov 4, 064,411g4,411g2
Nov 4, 094,411g4,411g2
Nov 4, 124,411g4,411g2
Nov 4, 154,411g4,411g2
Nov 4, 184,411g4,411g2
Nov 4, 214,411g4,411g2
Nov 5, 004,411g4,411g2
Nov 5, 034,411g4,411g2
Nov 5, 064,411g4,411g2
Nov 5, 094,411g4,411g2
Nov 5, 124,411g4,411g1
Nov 5, 154,411g4,411g1
Nov 5, 184,411g4,411g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Pattern: Dress Shoes
Day (UTC)AverageUnits listed
Nov 54,411g 48s 0c1
Nov 44,411g 48s 0c2
Nov 34,411g 48s 0c2
Nov 22,571g 41s 0c1

The 1 week view covers the 4 days of data this item has. Showing Nov 2, 2026 to Nov 5, 2026.

Trading hours: the cheaper and dearer hours of the week, in UTC

Trading Hours

See when Pattern: Dress Shoes tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC.

Loading trading hours
Cheaper than usualTypicalMore expensive than usualLimited data