782582 |
|
17 Jun 2020 14:32:08 UTC |
391,713 |
1 |
2 |
1.00000000 LBC
|
781923 |
|
16 Jun 2020 09:28:21 UTC |
392,367 |
1 |
2 |
2.00000000 LBC
|
781383 |
|
15 Jun 2020 09:35:29 UTC |
392,905 |
1 |
2 |
3.00000000 LBC
|
779407 |
|
11 Jun 2020 17:04:09 UTC |
394,871 |
1 |
2 |
2.00000000 LBC
|
778742 |
|
10 Jun 2020 11:40:27 UTC |
395,533 |
1 |
2 |
3.00000000 LBC
|
778674 |
|
10 Jun 2020 08:43:43 UTC |
395,601 |
1 |
2 |
12.00000000 LBC
|
778226 |
|
09 Jun 2020 12:22:36 UTC |
396,047 |
1 |
2 |
1.00000000 LBC
|
777657 |
|
08 Jun 2020 11:35:10 UTC |
396,615 |
1 |
2 |
2.00000000 LBC
|
775642 |
|
04 Jun 2020 18:14:59 UTC |
398,621 |
1 |
2 |
4.00000000 LBC
|
775123 |
|
03 Jun 2020 19:09:02 UTC |
399,137 |
1 |
2 |
2.00000000 LBC
|
774556 |
|
02 Jun 2020 17:54:09 UTC |
399,701 |
1 |
2 |
5.00000000 LBC
|
773930 |
|
01 Jun 2020 14:00:24 UTC |
400,324 |
1 |
2 |
4.00000000 LBC
|
773409 |
|
31 May 2020 14:56:03 UTC |
400,844 |
1 |
2 |
5.00000000 LBC
|
772884 |
|
30 May 2020 15:45:43 UTC |
401,367 |
1 |
2 |
2.00000000 LBC
|
772733 |
|
30 May 2020 09:23:15 UTC |
401,516 |
1 |
2 |
5.00000000 LBC
|
772364 |
|
29 May 2020 16:35:03 UTC |
401,882 |
1 |
2 |
5.00000000 LBC
|
771933 |
|
28 May 2020 21:06:38 UTC |
402,309 |
1 |
2 |
2.00000000 LBC
|
771933 |
|
28 May 2020 21:06:38 UTC |
402,309 |
1 |
2 |
1.00000000 LBC
|
771933 |
|
28 May 2020 21:06:38 UTC |
402,309 |
1 |
2 |
2.00000000 LBC
|
771846 |
|
28 May 2020 17:25:12 UTC |
402,396 |
1 |
2 |
2.00000000 LBC
|
771249 |
|
27 May 2020 14:48:21 UTC |
402,991 |
1 |
2 |
2.00000000 LBC
|
771246 |
|
27 May 2020 14:23:00 UTC |
402,994 |
1 |
2 |
1.00000000 LBC
|
771133 |
|
27 May 2020 09:09:36 UTC |
403,106 |
1 |
2 |
1.00000000 LBC
|
770802 |
|
26 May 2020 17:13:27 UTC |
403,436 |
1 |
2 |
1.00000000 LBC
|
770784 |
|
26 May 2020 16:30:12 UTC |
403,454 |
1 |
2 |
-0.03410700 LBC
|
770781 |
|
26 May 2020 16:19:59 UTC |
403,457 |
1 |
2 |
0.15000000 LBC
|
770735 |
|
26 May 2020 14:23:26 UTC |
403,502 |
1 |
2 |
2.00000000 LBC
|
770732 |
|
26 May 2020 14:18:26 UTC |
403,505 |
1 |
2 |
1.00000000 LBC
|