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Edition

Design: Reckless Noble Topaz

RareJewelcrafting
Open in the auction house

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Price

Last scan Nov 7, 2026, 06:00 UTC

Market value on Dreadmaul (US)

14,436g 57s 0c
Lowest buyout
14,436g 57s 0c
Listings
1
  • Regional auction data, hourly
  • 22 scans
How prices are measured
  • Design: Reckless Noble Topaz
  • Item Level: 27
  • Jewelcrafting
  • Sell price: 3g 0s 0c
Sources: 1 recipe

Sources

Recipe, 1 source

  • a Reckless Noble Topaz

Most sources come from published game data.

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Market

Dreadmaul (US)

Price History

Dreadmaul (US)
Low
11,927g 80s 0c
Average
13,503g 92s 9c
High
14,436g 57s 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 Design: Reckless Noble Topaz, 1 week, Dreadmaul (US); days with data: 5
Time (UTC)Lowest buyoutAverageQuantity
Nov 2, 1811,928g11,928g1
Nov 2, 2111,928g11,928g1
Nov 3, 0011,928g11,928g1
Nov 3, 0311,928g11,928g1
Nov 3, 0613,272g13,272g1
Nov 3, 0913,272g13,272g1
Nov 3, 1213,272g13,272g1
Nov 3, 1513,272g13,272g1
Nov 3, 1813,272g13,272g1
Nov 3, 2113,272g13,272g1
Nov 4, 0013,272g13,272g1
Nov 4, 0313,272g13,272g1
Nov 4, 0613,272g13,272g1
Nov 6, 0614,437g14,437g1
Nov 6, 0914,437g14,437g1
Nov 6, 1214,437g14,437g1
Nov 6, 1514,437g14,437g1
Nov 6, 1814,437g14,437g1
Nov 6, 2114,437g14,437g1
Nov 7, 0014,437g14,437g1
Nov 7, 0314,437g14,437g1
Nov 7, 0614,437g14,437g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Design: Reckless Noble Topaz
Day (UTC)AverageUnits listed
Nov 714,436g 57s 0c1
Nov 614,436g 57s 0c1
Nov 413,271g 77s 0c1
Nov 313,271g 77s 0c1
Nov 211,927g 80s 0c1

The 1 week view covers the 5 days of data this item has. Showing Nov 2, 2026 to Nov 7, 2026.

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

Trading Hours

See when Design: Reckless Noble Topaz 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