White Linen Shirt

UncommonMiscellaneous

Price

Scanned 2h ago

Market value on Feathermoon (US)

2g 99s 0c

61% below the 7-day average market value

Sources: 1 recipe

Most sources come from published game data.

Feathermoon (US)

Feathermoon (US)

Price history for White Linen Shirt, 1 week, Feathermoon (US)
Time (UTC)	Lowest buyout	Average	Quantity
Nov 6, 00	2g 98s	2g 98s	7
Nov 6, 03	2g 98s	2g 98s	7
Nov 6, 06	2g 98s	2g 98s	7
Nov 6, 09	2g 98s	2g 98s	6
Nov 6, 12	2g 98s	2g 98s	5
Nov 6, 15	2g 98s	2g 98s	5
Nov 6, 18	2g 98s	2g 98s	4
Nov 6, 21	2g 99s	2g 99s	3
Nov 7, 00	2g 99s	2g 99s	3
Nov 7, 03	2g 99s	2g 99s	3
Nov 7, 06	2g 99s	2g 99s	3
Nov 7, 09	2g 99s	2g 99s	3
Nov 7, 12	2g 99s	2g 99s	3
Nov 7, 15	2g 99s	2g 99s	4
Nov 7, 18	2g 99s	2g 99s	4
Nov 7, 21	2g 99s	2g 99s	4
Nov 8, 00	2g 99s	2g 99s	4
Nov 8, 03	2g 99s	2g 99s	4
Nov 8, 06	2g 99s	2g 99s	4
Nov 8, 09	2g 99s	2g 99s	4
Nov 8, 12	2g 99s	2g 99s	4
Nov 8, 15	2g 99s	2g 99s	4
Nov 8, 18	2g 99s	2g 99s	4
Nov 8, 21	2g 99s	2g 99s	4
Nov 9, 00	2g 99s	2g 99s	4
Nov 9, 03	2g 99s	2g 99s	4
Nov 9, 06	2g 99s	2g 99s	4
Nov 9, 09	2g 99s	2g 99s	4
Nov 9, 12	2g 99s	2g 99s	4
Nov 9, 15	2g 99s	2g 99s	3
Nov 9, 18	2g 99s	2g 99s	3
Nov 9, 21	2g 99s	2g 99s	3
Nov 10, 00	2g 99s	2g 99s	3
Nov 10, 03	2g 99s	2g 99s	3
Nov 10, 06	2g 99s	2g 99s	3
Nov 10, 09	2g 99s	2g 99s	3
Nov 10, 12	2g 99s	2g 99s	3
Nov 10, 15	2g 99s	2g 99s	3
Nov 10, 18	2g 99s	2g 99s	3
Nov 10, 21	2g 99s	2g 99s	3
Nov 11, 00	2g 99s	2g 99s	3
Nov 11, 03	2g 99s	2g 99s	3
Nov 11, 06	2g 99s	2g 99s	3
Nov 11, 09	2g 99s	2g 99s	3
Nov 11, 12	2g 99s	2g 99s	3
Nov 11, 15	2g 99s	2g 99s	3
Nov 11, 18	2g 99s	2g 99s	3
Nov 11, 21	2g 99s	2g 99s	3
Nov 12, 00	2g 99s	2g 99s	3
Nov 12, 03	2g 99s	2g 99s	3
Nov 12, 06	2g 99s	2g 99s	3
Nov 12, 09	2g 99s	2g 99s	3
Nov 12, 12	2g 99s	2g 99s	3
Nov 12, 15	2g 99s	2g 99s	3
Nov 12, 18	2g 99s	2g 99s	5
Nov 12, 21	2g 99s	42g	3

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

See when White Linen Shirt tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC.

Cheaper than usualTypicalMore expensive than usualLimited data