Trading
37 of 1,122 ongoing trades
| Sent | ETA | Resource | Seller / Sender | Buyer / Receiver | Gold | |
|---|---|---|---|---|---|---|
| 44s ago | 6m 7s |  49Metalware |  House:1Charlestown | — | ||
| 1m 15s ago | 26s |  2,500Fish | Жижківка | Трясовиння | — | |
| 1m 27s ago | 8m 10s |  200Silk | — | |||
| 2m 5s ago | 4m 27s |  40Bows | Burgessopolis | New Village | — | |
| 2m 5s ago | 0s | 5,000Fish | Klekot 2 | Klekot 1 | — | |
| 2m 28s ago | 3m 57s |  2Swords | II | IV | — | |
| 2m 31s ago | 1m 42s | 199Metalware | House:1 Sea Bass | House:1 Georgetown | — | |
| 2m 44s ago | 13m 46s | 100Metalware | -01- Dagoth Ur | Azalea | — | |
| 3m 15s ago | 31m 35s | 319Metalware | — | |||
| 3m 29s ago | 15m 18s | 30Bows |  House:10Молдаванка | — | ||
| 3m 33s ago | 30m 14s | 409Metalware | — | |||
| 3m 37s ago | 15m 10s | 21Metalware | House:10 Молдаванка | — | ||
| 4m 20s ago | 34s | 20Silk | House:1 Georgetown | House:1 Fire Fox | — | |
| 4m 23s ago | 26m 2s | 5Bows | | New Village | — | |
| 4m 38s ago | 11m 25s | 1,424Fish | House:1 Georgetown | House:1 Gasparino | — | |
| 4m 51s ago | 14m 23s | 2,438Fish | House:1 Georgetown | House:1 Williamsburg | — | |
| 5m 9s ago | 2m 33s | 20Silk |  House:18Henri-III-05 | House:18 Henri-III-04 | — | |
| 5m 20s ago | 5m 10s | 1,500Fish | House:1 Fire Fox | — | ||
| 5m 27s ago | 4m 54s | 2,965Fish | House:1 Fire Fox | House:1 Arthurville | — | |
| 5m 53s ago | 4m 0s | 500Fish | House:18 Henri-III-05 | House:18 Henri-III-06 | — | |
| 6m 24s ago | 3m 26s | 40Silk | House:18 Henri-III-05 | House:18 Henri-III-01 | — | |
| 6m 32s ago | 31m 34s | 55Bows |  House:52 база | — | ||
| 7m 43s ago | 16m 1s | 120Silk | — | |||
| 8m 17s ago | 2m 36s | 600Metalware |  House:152 Syastroj | House:15 1 Kirigi | — | |
| 8m 21s ago | 17m 48s | 50Metalware | — | |||
| 8m 27s ago | 3m 33s | 18Bows | Pegasus | Lantea | — | |
| 8m 58s ago | 20m 46s | 20Silk | — | |||
| 9m 24s ago | 2m 52s | 20Bows | — | |||
| 13m 9s ago | 2m 3s | 190Silk | House:5 5 WISCHLAPPEN | House:5 1 TIEFER GEHTS NET | — | |
| 13m 28s ago | 17s | 30Silk | House:5 3 WEISSESGOLD | House:5 1 TIEFER GEHTS NET | — | |
| 18m 2s ago | 23m 58s | 70Bows | House:10 last summer... | House:10 another broke clown...lol | — | |
| 22m 2s ago | 4m 54s | 60Silk | — | |||
| 25m 54s ago | 3m 47s | 150Silk | — | |||
| 45m 55s ago | 9m 11s | 60Silk | Dino Dropzone | Goat Graveyard | — | |
| 1h 20m ago | 2h 2m | 50Bows | — | |||
| 1h 20m ago | 2h 10m | 50Bows | — | |||
| 1h 20m ago | 2h 9m | 50Swords | — |
House:6
House:17
House:20Total revenue (sells)
629,482,733g
Total spend (buys)
138,583,214g
| Resource | Sold | Bought |
|---|---|---|
| Meat | 597,442,500 | 61,110,500 |
| Wood | 502,178,000 | 151,917,000 |
| Apples | 533,045,500 | 48,872,000 |
| Stone | 423,874,000 | 134,172,000 |
| Cheese | 475,275,500 | 42,400,500 |
| Bread | 387,365,500 | 30,528,000 |
| Vegetables | 280,765,000 | 11,221,000 |
| Fish | 221,194,000 | 8,551,500 |
| Iron | 139,232,600 | 35,541,600 |
| Pitch | 119,128,800 | 24,079,800 |
| Ale | 94,266,400 | 2,610,800 |
| Venison | 19,611,900 | 858,600 |
| Furniture | 18,315,050 | 844,650 |
| Clothes | 6,741,200 | 1,095,000 |
| Metalware | 6,686,950 | 1,047,700 |
| Wine | 3,031,480 | 990,240 |
| Salt | 2,746,880 | 1,005,000 |
| Spices | 2,119,560 | 1,096,660 |
| Silk | 2,140,100 | 995,420 |
| Bows | 1,064,980 | 225,335 |
| Pikes | 777,575 | 167,140 |
| Armour | 638,545 | 172,705 |
| Swords | 210,860 | 39,695 |
| Catapults | 17,220 | 17,639 |
- 1Дvдtдrr15,900,831g
- 2Ke-kotei10,943,452g
- 3I11Idan10,723,472g
- 4Sergey_Black10,549,889g
- 5iSugar8,243,816g
- 6Miox boy7,049,768g
- 7xdasy6,953,247g
- 8roulabhishek306,536,824g
- 9_CottonBall_5,459,263g
- 10IgnacyPL5,339,474g
- 1Sergey_Black3,153,250g
- 2_CottonBall_3,003,583g
- 3Strongholds King2,720,978g
- 4IgnacyPL2,651,271g
- 5iSugar2,608,211g
- 6GoingOnDeath2,125,100g
- 7Shahrokhi1,823,321g
- 8Marius641,774,363g
- 9LordWalter1,747,747g
- 10gorilla11,670,604g
Revenue and spend are shown separately and never netted into profit. The bot only retains values for in-flight trades (completed trades clear their amounts), so these reflect current/recent flow rather than a complete historical total.