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Gemmed Copper Gauntlets

UncommonMail
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Price

Last scan Nov 3, 2026, 09:00 UTC

Market value on Thrall (US)

402g 50s 0c
49% below the 7-day average market value
Lowest buyout
402g 50s 0c
Listings
1
7-day average market value
784g 50s 70c
  • Regional auction data, hourly
  • 31 scans
How prices are measured
  • Gemmed Copper Gauntlets
  • Item Level: 8
  • Binds when equipped
  • HandsMail
  • Required Level: 5
  • Sell price: 15s 0c
Sources: 1 recipe

Sources

Crafted

Most sources come from published game data.

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Market

Thrall (US)

Price History

Thrall (US)
Low
370g 87s 0c
Average
852g 8s 84c
High
1,351g 78s 0c
Samples
31
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 Gemmed Copper Gauntlets, 1 week, Thrall (US)
Time (UTC)Lowest buyoutAverageQuantity
Oct 28, 21371g371g1
Oct 29, 00371g371g1
Oct 29, 03371g371g1
Oct 29, 06371g371g1
Oct 30, 061,352g1,352g1
Oct 30, 091,352g1,352g1
Oct 30, 121,352g1,352g1
Oct 30, 151,352g1,352g1
Oct 30, 181,352g1,352g1
Oct 30, 211,352g1,352g1
Oct 31, 001,352g1,352g1
Oct 31, 031,352g1,352g1
Oct 31, 061,352g1,352g1
Oct 31, 15388g388g1
Oct 31, 18388g388g1
Oct 31, 21388g388g1
Nov 1, 00388g388g1
Nov 1, 18374g374g1
Nov 1, 21374g374g1
Nov 2, 00374g374g1
Nov 2, 03374g374g1
Nov 2, 061,351g1,351g1
Nov 2, 091,351g1,351g1
Nov 2, 121,351g1,351g1
Nov 2, 151,351g1,351g1
Nov 2, 181,351g1,351g1
Nov 2, 211,351g1,351g1
Nov 3, 00403g403g2
Nov 3, 03403g403g2
Nov 3, 06403g403g2
Nov 3, 09403g403g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Gemmed Copper Gauntlets
Day (UTC)AverageUnits listed
Nov 3402g 50s 0c1
Nov 21,351g 34s 0c1
Nov 1373g 54s 0c1
Oct 31388g 26s 0c1
Oct 301,351g 78s 0c1
Oct 29370g 87s 0c1
Oct 28370g 87s 0c1

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

Trading Hours

See when Gemmed Copper Gauntlets 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