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Design: Rhinestone Sunglasses

RareJewelcrafting
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Price

Market value on Dreadmaul (US)

597,000g 0s 0c
Lowest buyout
597,000g 0s 0c
Listings
1
  • Regional auction data, hourly
  • 27 scans
How prices are measured
  • Design: Rhinestone Sunglasses
  • Item Level: 32
  • Jewelcrafting
Sources: 1 recipe

Sources

Recipe, 1 source

  • Rhinestone Sunglasses

Most sources come from published game data.

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Market

Dreadmaul (US)

Price History

Dreadmaul (US)
Low
318,176g 41s 0c
Average
491,301g 2s 15c
High
597,000g 0s 0c
Samples
27
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 Design: Rhinestone Sunglasses, 1 week, Dreadmaul (US)
Time (UTC)Lowest buyoutAverageQuantity
Nov 2, 06318,176g318,176g1
Nov 2, 09318,176g318,176g1
Nov 2, 12318,176g318,176g1
Nov 2, 15318,176g318,176g1
Nov 2, 18318,176g318,176g1
Nov 5, 03511,132g511,132g1
Nov 5, 06511,132g511,132g1
Nov 5, 09511,132g511,132g1
Nov 5, 12511,132g511,132g1
Nov 5, 15511,132g511,132g1
Nov 5, 18511,132g511,132g1
Nov 5, 21511,132g511,132g1
Nov 6, 00511,132g511,132g1
Nov 6, 03511,132g511,132g1
Nov 6, 06511,132g511,132g1
Nov 6, 09511,132g511,132g1
Nov 6, 12511,132g511,132g1
Nov 6, 15511,132g511,132g1
Nov 6, 18511,132g511,132g1
Nov 6, 21511,132g511,132g1
Nov 7, 00511,132g511,132g1
Nov 7, 03511,132g511,132g1
Nov 8, 18597,000g597,000g1
Nov 8, 21597,000g597,000g1
Nov 9, 00597,000g597,000g1
Nov 9, 03597,000g597,000g1
Nov 9, 06597,000g597,000g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Design: Rhinestone Sunglasses
Day (UTC)AverageUnits listed
Nov 9597,000g 0s 0c1
Nov 8597,000g 0s 0c1
Nov 7511,132g 9s 0c1
Nov 6511,132g 9s 0c1
Nov 5511,132g 9s 0c1
Nov 2318,176g 41s 0c1

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

Trading Hours

See when Design: Rhinestone Sunglasses 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