690072 |
|
28 Dec 2019 12:33:33 UTC |
484,028 |
1 |
1 |
-4.00000000 LBC
|
689952 |
|
28 Dec 2019 07:27:07 UTC |
484,148 |
5 |
268 |
4.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-10.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-10.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-10.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-15.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-15.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-10.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-10.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-15.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-10.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-5.00000000 LBC
|
673432 |
|
27 Nov 2019 17:30:04 UTC |
500,655 |
1 |
1 |
-15.00000000 LBC
|
667308 |
|
16 Nov 2019 08:55:42 UTC |
506,777 |
1 |
4 |
10.00000000 LBC
|
667244 |
|
16 Nov 2019 05:55:17 UTC |
506,841 |
1 |
7 |
10.00000000 LBC
|
667242 |
|
16 Nov 2019 05:49:17 UTC |
506,843 |
1 |
7 |
15.00000000 LBC
|
667211 |
|
16 Nov 2019 04:30:53 UTC |
506,874 |
1 |
6 |
5.00000000 LBC
|
667127 |
|
16 Nov 2019 00:53:23 UTC |
506,958 |
3 |
9 |
15.00000000 LBC
|
667123 |
|
16 Nov 2019 00:44:34 UTC |
506,962 |
1 |
10 |
15.00000000 LBC
|
667118 |
|
16 Nov 2019 00:31:55 UTC |
506,966 |
1 |
16 |
10.00000000 LBC
|
667109 |
|
16 Nov 2019 00:05:53 UTC |
506,975 |
1 |
10 |
10.00000000 LBC
|
667096 |
|
15 Nov 2019 23:39:31 UTC |
506,988 |
1 |
3 |
10.00000000 LBC
|
667088 |
|
15 Nov 2019 23:14:43 UTC |
506,996 |
1 |
3 |
15.00000000 LBC
|
667078 |
|
15 Nov 2019 22:33:05 UTC |
507,006 |
1 |
8 |
10.00000000 LBC
|
664369 |
|
10 Nov 2019 21:22:03 UTC |
509,711 |
1 |
1 |
-5.00000000 LBC
|
663846 |
|
09 Nov 2019 22:11:49 UTC |
510,232 |
1 |
3 |
5.00000000 LBC
|
663697 |
|
09 Nov 2019 15:15:01 UTC |
510,381 |
4 |
2 |
10.00000000 LBC
|