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Darkmoon Deck: Squalls

EpicMiscellaneous
Open in the auction house

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Price

Last scan Oct 6, 2026, 00:00 UTC

Last seen price on Draenor (EU)

28,000g 0s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
28,000g 0s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 159 scans
How prices are measured
  • Darkmoon Deck: Squalls
  • Item Level: 60
  • Binds when equipped
  • TrinketMiscellaneous
  • Required Level: 50
  • Sell price: 42g 0s 93c
Sources: 1 recipe

Sources

Crafted, 1 source

  • Squalls Deck

Most sources come from published game data.

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Market

Draenor (EU)

Price History

Draenor (EU)
Low
500g 0s 0c
Average
13,973g 98s 87c
High
80,000g 0s 0c
Samples
159
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 Darkmoon Deck: Squalls, 1 week, Draenor (EU)
Time (UTC)Lowest buyoutAverageQuantity
Mar 9, 0020,000g20,000g1
Mar 10, 0020,000g20,000g1
Mar 14, 0030,000g30,000g1
Mar 17, 0025,000g25,000g1
Mar 18, 0025,000g25,000g2
Mar 20, 0020,000g20,000g1
Mar 22, 0020,000g20,000g1
Mar 30, 0020,000g20,000g1
Apr 8, 0015,000g15,000g2
Apr 9, 0015,000g15,000g1
Apr 10, 0012,500g14,722g1
Apr 11, 0012,500g12,500g1
Apr 12, 0012,000g12,450g1
Apr 13, 0012,000g12,000g1
Apr 14, 0012,000g12,000g1
Apr 15, 0012,000g12,000g1
Apr 16, 0012,000g12,000g1
Apr 17, 0012,000g12,000g1
Apr 18, 0012,000g12,000g1
Apr 19, 0012,000g12,000g1
Apr 20, 0022,800g22,800g1
Apr 21, 0022,800g22,800g1
Apr 22, 0022,800g22,800g1
Apr 23, 0010,000g10,000g1
Apr 24, 0010,000g10,000g1
Apr 25, 0010,000g10,000g1
Apr 26, 0020,000g20,000g1
Apr 27, 0020,000g20,000g1
Apr 28, 0020,000g20,000g1
Apr 30, 0012,000g12,000g1
May 1, 0012,000g12,000g1
May 2, 0012,000g12,000g1
May 3, 0012,000g12,000g1
May 4, 0012,000g12,000g1
May 5, 0012,000g12,000g1
May 6, 0012,000g12,000g1
May 7, 0012,000g12,000g1
May 8, 0012,000g12,000g1
May 9, 0012,000g12,000g2
May 10, 0012,000g12,000g1
May 11, 0012,000g12,000g1
May 13, 0010,000g10,000g1
May 14, 0010,000g10,000g1
May 15, 0010,000g10,000g1
May 16, 008,000g8,000g1
May 17, 008,000g8,000g1
May 20, 0010,000g10,000g1
May 21, 0010,000g10,000g1
May 22, 0010,000g10,000g1
May 27, 0028,000g28,000g1
May 28, 0028,000g28,000g1
Jun 1, 0018,000g18,000g1
Jun 3, 0018,000g18,000g1
Jun 8, 0012,000g12,000g1
Jun 9, 0012,000g12,000g1
Jun 10, 0010,000g10,000g1
Jun 11, 0010,000g10,000g1
Jun 12, 0010,000g10,000g1
Jun 13, 0010,000g10,000g1
Jun 14, 0010,000g10,000g1
Jun 17, 0010,000g10,000g1
Jun 18, 0010,000g10,000g1
Jun 19, 0010,000g10,000g1
Jun 20, 0010,000g10,000g1
Jun 21, 0010,000g10,000g1
Jun 22, 0010,000g10,000g1
Jun 23, 0010,000g10,000g1
Jun 24, 0010,000g10,000g1
Jun 25, 0010,000g10,000g1
Jun 26, 0010,000g10,000g1
Jun 27, 0010,000g10,000g1
Jun 28, 0010,000g10,000g1
Jun 29, 0010,000g10,000g1
Jun 30, 0010,000g10,000g1
Jul 1, 0010,000g10,000g1
Jul 2, 0010,000g10,000g1
Jul 3, 0010,000g10,000g1
Jul 4, 0010,000g10,000g1
Jul 5, 0010,000g10,000g1
Jul 6, 0010,000g10,000g1
Jul 7, 0010,000g10,000g1
Jul 8, 0010,000g10,000g1
Jul 9, 0010,000g10,000g1
Jul 10, 0010,000g10,000g1
Jul 11, 0010,000g10,000g1
Jul 12, 0010,000g10,000g1
Jul 13, 0010,000g10,000g1
Jul 14, 0010,000g10,000g1
Jul 15, 0010,000g10,000g1
Jul 16, 0010,000g10,000g1
Jul 17, 0010,000g10,000g1
Jul 18, 0010,000g10,000g1
Jul 19, 0010,000g10,000g1
Jul 20, 0010,000g10,000g1
Jul 21, 0010,000g10,000g1
Jul 22, 0010,000g10,000g1
Jul 23, 0010,000g10,000g1
Jul 24, 0010,000g10,000g1
Jul 25, 0010,000g10,000g1
Jul 26, 0010,000g10,000g1
Jul 27, 0010,000g10,000g1
Jul 28, 0010,000g10,000g1
Jul 29, 0010,000g10,000g1
Jul 30, 0010,000g10,000g1
Jul 31, 0010,000g10,000g1
Aug 1, 0010,000g10,667g1
Aug 2, 0012,000g12,000g1
Aug 3, 0012,000g12,000g1
Aug 4, 0012,000g12,000g1
Aug 5, 0012,000g12,000g1
Aug 6, 0012,000g12,000g1
Aug 7, 0012,000g12,000g1
Aug 8, 0010,000g10,000g1
Aug 9, 0010,000g10,000g1
Aug 10, 0010,000g10,000g1
Aug 11, 0010,000g10,000g1
Aug 12, 0010,000g10,000g1
Aug 13, 0010,000g10,000g1
Aug 14, 0010,000g10,000g1
Aug 15, 0010,000g10,000g1
Aug 17, 0012,000g12,000g1
Aug 18, 0012,000g12,000g1
Aug 19, 0012,000g12,000g1
Aug 21, 0010,000g10,000g1
Aug 22, 0010,000g10,000g1
Aug 23, 0010,000g10,000g1
Aug 27, 0080,000g80,000g1
Aug 28, 0080,000g80,000g1
Aug 29, 0010,000g36,923g1
Aug 30, 0010,000g10,000g1
Aug 31, 0010,000g12,500g1
Sep 1, 0020,000g20,000g1
Sep 2, 0020,000g20,000g1
Sep 4, 0012,000g12,000g1
Sep 5, 0012,000g12,000g1
Sep 6, 0012,000g13,333g1
Sep 7, 0015,000g15,000g1
Sep 8, 0012,000g13,846g1
Sep 9, 0012,000g12,000g1
Sep 10, 0012,000g12,000g1
Sep 11, 00500g12,444g2
Sep 12, 00500g11,250g2
Sep 13, 00500g10,273g2
Sep 14, 008,000g8,000g1
Sep 15, 008,000g8,000g1
Sep 16, 008,000g8,000g1
Sep 17, 0010,000g10,000g1
Sep 18, 0010,000g10,000g1
Sep 19, 0010,000g10,000g1
Sep 20, 0048,000g48,000g1
Sep 21, 00500g42,722g1
Sep 22, 00500g16,333g2
Sep 23, 00500g500g1
Sep 29, 0012,000g12,000g1
Sep 30, 0012,000g12,000g1
Oct 1, 0012,000g12,000g1
Oct 4, 0028,000g28,000g1
Oct 5, 0028,000g28,000g1
Oct 6, 0028,000g28,000g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Darkmoon Deck: Squalls
Day (UTC)AverageUnits listed
Oct 628,000g 0s 0c1
Oct 528,000g 0s 0c1
Oct 428,000g 0s 0c1
Oct 112,000g 0s 0c1
Sep 3012,000g 0s 0c1
Sep 2912,000g 0s 0c1
Sep 23500g 2s 0c1
Sep 2216,333g 33s 33c2
Sep 2142,722g 22s 22c1
Sep 2048,000g 0s 0c1
Sep 1910,000g 0s 0c1
Sep 1810,000g 0s 0c1
Sep 1710,000g 0s 0c1
Sep 168,000g 0s 0c1
Sep 158,000g 0s 0c1
Sep 148,000g 0s 0c1
Sep 1310,272g 72s 73c2
Sep 1211,250g 0s 0c2
Sep 1112,444g 44s 44c2
Sep 1012,000g 0s 0c1
Sep 912,000g 0s 0c1
Sep 813,846g 15s 38c1
Sep 715,000g 0s 0c1
Sep 613,333g 33s 33c1
Sep 512,000g 0s 0c1
Sep 412,000g 0s 0c1
Sep 220,000g 0s 0c1
Sep 120,000g 0s 0c1
Aug 3112,500g 0s 0c1
Aug 3010,000g 0s 0c1

Sparse data for 1 week: showing all available history.

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

Trading Hours

See when Darkmoon Deck: Squalls 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