Skip to main content

Arcanic Tramplers

EpicCloth
Open in the auction house

Advertisements

Price

Last scan Nov 4, 2026, 06:00 UTC

Market value on Emerald Dream (US)

499g 77s 0c
45% below the 7-day average market value
Lowest buyout
499g 77s 0c
Listings
1
7-day average market value
912g 71s 40c
  • Regional auction data, hourly
  • 18 scans
How prices are measured
  • Arcanic Tramplers
  • Item Level: 35
  • Binds when equipped
  • FeetCloth
  • Required Level: 30
  • Sell price: 6g 50s 78c
Sources: dropped by 2 sources

Sources

Verified Nov 4, 2026, 05:12 UTC
  • Drops from 2 sources.

Dropped by, 2 sources

  • Malygos
  • MalygosThe Eye of Eternity

Most sources come from published game data.

Advertisements

Market

Emerald Dream (US)

Price History

Emerald Dream (US)
Low
499g 77s 0c
Average
843g 89s 0c
High
1,188g 1s 0c
Samples
18
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 Arcanic Tramplers, 1 week, Emerald Dream (US); days with data: 4
Time (UTC)Lowest buyoutAverageQuantity
Nov 1, 181,188g1,188g1
Nov 1, 211,188g1,188g1
Nov 2, 001,188g1,188g1
Nov 2, 031,188g1,188g1
Nov 2, 061,188g1,188g1
Nov 2, 091,188g1,188g1
Nov 2, 121,188g1,188g1
Nov 2, 151,188g1,188g1
Nov 2, 181,188g1,188g1
Nov 3, 06500g500g1
Nov 3, 09500g500g1
Nov 3, 12500g500g1
Nov 3, 15500g500g1
Nov 3, 18500g500g1
Nov 3, 21500g500g1
Nov 4, 00500g500g1
Nov 4, 03500g500g1
Nov 4, 06500g500g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Arcanic Tramplers
Day (UTC)AverageUnits listed
Nov 4499g 77s 0c1
Nov 3499g 77s 0c1
Nov 21,188g 1s 0c1
Nov 11,188g 1s 0c1

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

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

Trading Hours

See when Arcanic Tramplers 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