Trading
4 of 903 ongoing trades
| Sent | ETA | Resource | Seller / Sender | Buyer / Receiver | Gold | |
|---|---|---|---|---|---|---|
| 14m 45s ago | 9m 47s |  1Swords | Andre1976— Bad Segeberg | Andre1976— Arnis | — | |
| 14m 51s ago | 9m 41s |  2Pikes | Andre1976— Bad Segeberg | Andre1976— Arnis | — | |
| 15m 40s ago | 15m 2s | 2Pikes | Andre1976— Bad Schwartau | Andre1976— Arnis | — | |
| 15m 48s ago | 14m 54s | 2Swords | Andre1976— Bad Schwartau | Andre1976— Arnis | — |
Total revenue (sells)
597,780,282g
Total spend (buys)
139,880,052g
| Resource | Sold | Bought |
|---|---|---|
| Meat | 585,986,500 | 52,299,000 |
| Wood | 472,339,000 | 158,094,000 |
| Stone | 402,922,000 | 136,014,000 |
| Apples | 485,197,000 | 36,123,000 |
| Cheese | 443,296,000 | 39,332,000 |
| Bread | 363,936,000 | 26,119,000 |
| Vegetables | 269,452,000 | 8,883,500 |
| Fish | 224,274,500 | 8,937,500 |
| Iron | 131,155,600 | 35,509,600 |
| Pitch | 107,200,200 | 22,324,400 |
| Ale | 95,745,200 | 2,407,400 |
| Venison | 16,980,200 | 741,750 |
| Furniture | 15,677,650 | 807,550 |
| Clothes | 6,191,400 | 1,037,150 |
| Metalware | 6,129,500 | 1,049,050 |
| Wine | 2,783,180 | 970,620 |
| Salt | 2,463,380 | 1,001,040 |
| Spices | 1,979,340 | 1,136,060 |
| Silk | 1,971,540 | 1,044,860 |
| Bows | 992,805 | 232,155 |
| Pikes | 738,100 | 190,000 |
| Armour | 618,940 | 179,995 |
| Swords | 209,635 | 46,750 |
| Catapults | 18,011 | 16,041 |
- 1Дvдtдrr15,172,780g
- 2I11Idan10,320,359g
- 3Ke-kotei9,392,199g
- 4Sergey_Black7,027,249g
- 5roulabhishek306,932,175g
- 6iSugar6,512,963g
- 7Miox boy6,317,363g
- 8Alex Spy5,816,120g
- 9_CottonBall_5,751,858g
- 10Strongholds King5,545,396g
- 1Strongholds King3,714,754g
- 2GoingOnDeath3,670,851g
- 3_CottonBall_3,239,587g
- 4Sergey_Black2,339,371g
- 5&VodkaPolska&2,282,243g
- 6I11Idan2,271,232g
- 7iSugar2,086,124g
- 8makhunteur2,070,942g
- 9Rivers931,908,349g
- 10Marius641,748,449g
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.