Skip to main content

Acolyte's Shoes

CommonCloth
Open in the auction house

Advertisements

Price

Market value on Feathermoon (US)

876g 89s 0c
Lowest buyout
876g 89s 0c
Listings
1
  • Regional auction data, hourly
  • 22 scans
How prices are measured
  • Acolyte's Shoes
  • Item Level: 1
  • Binds when equipped
  • FeetCloth
  • Sell price: 6c
Sources: sold by 3 vendors

Sources

  • Sold by 3 vendors.

Sold by vendors, 3 sources

  • Carla GrangerCost per purchase30c+29,229,566.7% auction price against vendor
  • OllanusCost per purchase30c+29,229,566.7% auction price against vendor
  • Thomas YanceCost per purchase30c+29,229,566.7% auction price against vendor

Most sources come from published game data.

Advertisements

Market

Feathermoon (US)

Price History

Feathermoon (US)
Low
876g 89s 0c
Average
876g 89s 24c
High
876g 90s 0c
Samples
22
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 Acolyte's Shoes, 1 week, Feathermoon (US); days with data: 3
Time (UTC)Lowest buyoutAverageQuantity
Nov 4, 00877g877g1
Nov 4, 03877g877g1
Nov 4, 06877g877g1
Nov 4, 09877g877g1
Nov 4, 12877g877g1
Nov 4, 15877g877g2
Nov 4, 18877g877g2
Nov 4, 21877g877g2
Nov 5, 00877g877g2
Nov 5, 03877g877g2
Nov 5, 06877g877g2
Nov 5, 09877g877g2
Nov 5, 12877g877g2
Nov 5, 15877g877g2
Nov 5, 18877g877g2
Nov 5, 21877g877g2
Nov 6, 00877g877g2
Nov 6, 03877g877g1
Nov 6, 06877g877g1
Nov 6, 09877g877g1
Nov 6, 12877g877g1
Nov 6, 15877g877g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Acolyte's Shoes
Day (UTC)AverageUnits listed
Nov 6876g 89s 0c1
Nov 5876g 89s 0c2
Nov 4876g 89s 0c2

The 1 week view covers the 3 days of data this item has. Showing Nov 4, 2026 to Nov 6, 2026.

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

Trading Hours

See when Acolyte's 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