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Ancient Pattern: Bloodlord's Embrace

RareTailoring
Open in the auction house

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Price

Last scan Nov 10, 2026, 21:00 UTC

Market value on Barthilas (US)

45,714g 77s 0c
35% below the 7-day average market value
Lowest buyout
45,714g 77s 0c
Listings
2
7-day average market value
70,480g 6s 56c
  • Regional auction data, hourly
  • 19 scans
How prices are measured
  • Ancient Pattern: Bloodlord's Embrace
  • Item Level: 1
  • Tailoring
  • Required Level: 1
Sources: 1 recipe

Sources

Recipe, 1 source

  • Bloodlord's Embrace

Most sources come from published game data.

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Market

Barthilas (US)

Price History

Barthilas (US)
Low
45,714g 77s 0c
Average
69,176g 62s 89c
High
268,602g 43s 0c
Samples
19
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 Ancient Pattern: Bloodlord's Embrace, 1 week, Barthilas (US); days with data: 3
Time (UTC)Lowest buyoutAverageQuantity
Nov 8, 15268,602g268,602g1
Nov 8, 18268,602g268,602g1
Nov 8, 2145,715g45,715g2
Nov 9, 0045,715g45,715g2
Nov 9, 0345,715g45,715g2
Nov 9, 0645,715g45,715g2
Nov 9, 0945,715g45,715g2
Nov 9, 1245,715g45,715g2
Nov 9, 1545,715g45,715g2
Nov 9, 1845,715g45,715g2
Nov 9, 2145,715g45,715g2
Nov 10, 0045,715g45,715g2
Nov 10, 0345,715g45,715g2
Nov 10, 0645,715g45,715g2
Nov 10, 0945,715g45,715g2
Nov 10, 1245,715g45,715g2
Nov 10, 1545,715g45,715g2
Nov 10, 1845,715g45,715g2
Nov 10, 2145,715g45,715g2
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Ancient Pattern: Bloodlord's Embrace
Day (UTC)AverageUnits listed
Nov 1045,714g 77s 0c2
Nov 945,714g 77s 0c2
Nov 845,714g 77s 0c2

The 1 week view covers the 3 days of data this item has. Showing Nov 8, 2026 to Nov 10, 2026.

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

Trading Hours

See when Ancient Pattern: Bloodlord's Embrace 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