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Edition

Pattern: Lunar Eclipse Robes

EpicLeatherworking
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Price

Market value on Azralon (US)

48,000g 76s 0c
Lowest buyout
48,000g 76s 0c
Listings
1
Set price alert
  • Regional auction data, hourly
  • 34 scans
How prices are measured
  • Pattern: Lunar Eclipse Robes
  • Item Level: 32
  • Leatherworking
  • Sell price: 2g 50s 0c
Sources: 1 recipe

Sources

Recipe, 1 source

  • a Lunar Eclipse Robes

Most sources come from published game data.

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Market

Azralon (US)

Price History

Azralon (US)
Low
789g 67s 0c
Average
9,177g 37s 76c
High
48,000g 76s 0c
Samples
34
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: Lunar Eclipse Robes, 1 week, Azralon (US)
Time (UTC)MinAverageQuantity
Oct 25, 18821g821g1
Oct 25, 21821g821g1
Oct 26, 00821g821g1
Oct 26, 03821g821g1
Oct 26, 06821g821g1
Oct 26, 09821g821g1
Oct 26, 12821g821g1
Oct 26, 15821g821g1
Oct 26, 18821g821g1
Oct 26, 21821g821g1
Oct 27, 00821g821g1
Oct 27, 03821g821g1
Oct 27, 06821g821g1
Oct 27, 09821g821g1
Oct 27, 12821g821g1
Oct 27, 15821g821g1
Oct 27, 18821g821g1
Oct 27, 21821g821g1
Oct 28, 00821g821g1
Oct 28, 03821g821g1
Oct 30, 00790g790g3
Oct 30, 03790g790g3
Oct 30, 06790g790g3
Oct 30, 09790g790g3
Oct 31, 1248,001g48,001g1
Oct 31, 1548,001g48,001g1
Oct 31, 1848,001g48,001g1
Oct 31, 2148,001g48,001g1
Nov 1, 001,110g1,110g2
Nov 1, 031,110g1,110g2
Nov 1, 061,110g1,110g2
Nov 1, 091,110g1,110g2
Nov 1, 1248,001g48,001g1
Nov 1, 1548,001g48,001g1
  • Min
  • Average
  • Quantity
  • Latest lowest price
Daily average for Pattern: Lunar Eclipse Robes
Day (UTC)AverageUnits listed
Nov 148,000g 76s 0c1
Oct 3148,000g 76s 0c1
Oct 30789g 67s 0c3
Oct 28821g 38s 0c1
Oct 27821g 38s 0c1
Oct 26821g 38s 0c1
Oct 25821g 38s 0c1

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

Trading Hours

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

The grid follows the auction week in UTC.

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Cheaper than usualTypicalMore expensive than usualLimited data