Time-series plots:Full dataset:Truncated dataset: Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w27 (daydi = 890, 891), the incomplete week & incomlete day (dayid = 892). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 889 786.3037 632.7622 672 564 813 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 191 or 1187. . di 813-564 249
. di 249*1.5 373.5
. di 813+373.5 1186.5
. di 564-373.5 190.5
There are 60 outliers (beyond 1187 or 191) in full dataset, in total. . count if (merit >= 1187 | merit <= 191) & merit != . 60
Those days are: +---------------------------+ | dayid merit date | |---------------------------| 2. | 2 12676 25jan2018 | 3. | 3 6348 26jan2018 | 4. | 4 4627 27jan2018 | 5. | 5 3240 28jan2018 | 6. | 6 3343 29jan2018 | 7. | 7 3804 30jan2018 | 8. | 8 4103 31jan2018 | 9. | 9 2793 01feb2018 | 10. | 10 2621 02feb2018 | 11. | 11 2476 03feb2018 | 12. | 12 1790 04feb2018 | 13. | 13 2263 05feb2018 | 14. | 14 2003 06feb2018 | 15. | 15 2367 07feb2018 | 16. | 16 2059 08feb2018 | 17. | 17 2223 09feb2018 | 18. | 18 1334 10feb2018 | 19. | 19 1793 11feb2018 | 20. | 20 1475 12feb2018 | 21. | 21 1289 13feb2018 | 22. | 22 1580 14feb2018 | 23. | 23 2797 15feb2018 | 24. | 24 1740 16feb2018 | 25. | 25 1431 17feb2018 | 26. | 26 1589 18feb2018 | 27. | 27 1289 19feb2018 | 28. | 28 1442 20feb2018 | 30. | 30 1277 22feb2018 | 31. | 31 1249 23feb2018 | 33. | 33 1372 25feb2018 | 35. | 35 1414 27feb2018 | 36. | 36 1302 28feb2018 | 38. | 38 1345 02mar2018 | 39. | 39 1727 03mar2018 | 49. | 49 1316 13mar2018 | 51. | 51 1224 15mar2018 | 57. | 57 1390 21mar2018 | 58. | 58 1211 22mar2018 | 237. | 237 2553 17sep2018 | 238. | 238 1807 18sep2018 | 239. | 239 1347 19sep2018 | 240. | 240 1221 20sep2018 | |---------------------------| 429. | 429 1247 28mar2019 | 476. | 476 1215 14may2019 | 505. | 505 1227 12jun2019 | 660. | 660 1630 14nov2019 | 661. | 661 2374 15nov2019 | 662. | 662 1585 16nov2019 | 663. | 663 1377 17nov2019 | 664. | 664 2783 18nov2019 | 665. | 665 3826 19nov2019 | 666. | 666 2584 20nov2019 | 667. | 667 4889 21nov2019 | 668. | 668 5515 22nov2019 | 669. | 669 1590 23nov2019 | 678. | 678 1465 02dec2019 | |---------------------------| 726. | 726 1192 19jan2020 | 755. | 755 1364 17feb2020 | 756. | 756 1195 18feb2020 | 845. | 845 1198 17may2020 | +---------------------------+
Distributions of outliers over years:- 2018: 42 (70%)
- 2019: 14 (23.3%)
- 2020: 4 (6.7%)
|
|
|
Update 2020w26, 03jul2020 02:49:37 (GMT time)* last 3 days belong to 2020w27.For all users:- Number of users who only earned at least 1 merit: 19826
- Number of users who only sent at least 1 merit: 7380
- Number of users who earned AND sent at least 1 merit: 14897
- Number of users who earned OR sent at least 1 merit: 42103
- Total Autobanned users: 141917
- Total Nuked users: 65770
- Total earned merits (for all): 618650
- Total sent merits (for all): 659510
For legit users only:- Total legit users: 12357
- Total earned merits: 583191
- Total sent merits: 631337
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | 1-10 | | | 7586 | 61.4 | 35384 | 6.1 | | | 8750 | 70.8 | 30740 | 4.9 | 11-100 | | | 3780 | 30.6 | 113214 | 19.4 | | | 2808 | 22.7 | 95226 | 15.1 | 101-250 | | | 516 | 4.2 | 79375 | 13.6 | | | 470 | 3.8 | 72953 | 11.6 | 251-500 | | | 220 | 1.8 | 74470 | 12.8 | | | 175 | 1.4 | 61115 | 9.7 | 501-1000 | | | 156 | 1.3 | 111107 | 19.1 | | | 75 | 0.6 | 50811 | 8.0 | 1001+ | | | 99 | 0.8 | 169641 | 29.1 | | | 79 | 0.6 | 320492 | 50.8 | Total | | | 12357 | 100 | 583191 | 100 | | | 12357 | 100 | 631337 | 100 | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
Bar charts:Note:- Data on autobanned/ nuked users began at January 04, 2019, 08:03:06 AM *Counted at the start of this topic
Merit status (for all) | Frequency | Percent | _________________________ | ______________ | ______________ | Sent only | 7380 | 17.5 | Earned only | 19826 | 47.1 | Both | 14897 | 35.4 | Total | 42103 | 100 | _________________________ | ______________ | ______________ | Account status (for legit only) | | | _________________________ | ______________ | ______________ | Legit | 12357 | 83.0 | Autobanned | 2523 | 16.9 | Nuked | 17 | 0.1 | Total | 14897 | 100 | _________________________ | ______________ | ______________ |
|
|
|
Notes: - nsenders: Sum of merit senders.
- ntransactions: Sum of merit transactions one user received his/her merits.
- nposts: Sum of posts one user received his/her merits.
+------------------------------------------------------------------------------------+ | rank_median username userid nsenders ntransactions nposts | |------------------------------------------------------------------------------------| 1. | 1 LoyceV 459836 601 3046 1443 | 2. | 2 o_e_l_e_o 1188543 412 2460 1544 | 3. | 3 suchmoon 234771 404 2417 1515 | 4. | 4 El duderino_ 1067333 311 2401 1523 | 5. | 5 DdmrDdmr 1582324 386 2086 1134 | |------------------------------------------------------------------------------------| 6. | 6 Last of the V8s 479624 252 2237 1476 | 7. | 7 theymos 35 950 2625 514 | 8. | 8 fillippone 1852120 303 2049 1025 | 9. | 9 mikeywith 2033515 254 1516 861 | 10. | 10 nutildah 317618 308 1330 833 | |------------------------------------------------------------------------------------| 11. | 11 The Pharmacist 487418 320 1348 949 | 12. | 12 LFC_Bitcoin 379487 235 1738 1175 | 13. | 13 achow101 290195 173 1210 495 | 14. | 14 VB1001 1138727 192 1592 969 | 15. | 15 JayJuanGee 252510 224 1450 1161 | |------------------------------------------------------------------------------------| 16. | 16 gmaxwell 11425 174 948 357 | 17. | 17 HairyMaclairy 181806 156 1330 930 | 18. | 18 pooya87 379147 248 1209 793 | 19. | 19 HCP 867786 228 1184 739 | 20. | 20 xhomerx10 120694 216 1167 662 | |------------------------------------------------------------------------------------| 21. | 21 TheBeardedBaby 1291828 299 1044 469 | 22. | 22 1miau 2143453 275 1456 665 | 23. | 23 TryNinja 557798 294 1108 753 | 24. | 24 gentlemand 155345 284 1107 845 | 25. | 25 abhiseshakana 1878246 127 998 523 | |------------------------------------------------------------------------------------| 26. | 26 hilariousetc 397737 211 903 553 | 27. | 27 philipma1957 64507 208 777 612 | 28. | 28 BobLawblaw 569455 142 1073 665 | 29. | 29 ETFbitcoin 359716 220 826 576 | 30. | 30 marlboroza 787736 222 727 451 | |------------------------------------------------------------------------------------| 31. | 31 bitmover 1554927 271 945 527 | 32. | 32 hugeblack 1059082 247 903 524 | 33. | 33 qwk 24140 215 880 535 | 34. | 34 Steamtyme 1112531 197 754 422 | 35. | 35 Goran_ 1039323 122 807 631 | |------------------------------------------------------------------------------------| 36. | 36 jojo69 49008 153 1048 703 | 37. | 37 taikuri13 1855828 119 779 539 | 38. | 38 mu_enrico 1574226 134 745 367 | 39. | 39 morvillz7z 1825672 158 690 338 | 40. | 40 DireWolfM14 2003859 215 870 484 | |------------------------------------------------------------------------------------| 41. | 41 Vod 30747 305 781 436 | 42. | 42 Husna QA 1827294 137 756 355 | 43. | 43 krogothmanhattan 1000199 224 674 283 | 44. | 44 Carlton Banks 64205 154 695 426 | 45. | 45 mk4 886521 282 831 547 | |------------------------------------------------------------------------------------| 46. | 46 mocacino 405464 195 802 425 | 47. | 47 joniboni 1275282 200 789 476 | 48. | 48 Coolcryptovator 1980983 279 821 382 | 49. | 49 DarkStar_ 507936 290 764 416 | 50. | 50 nc50lc 1237156 180 785 422 | |------------------------------------------------------------------------------------| 51. | 51 BitCryptex 1169179 156 722 366 | 52. | 52 yogg 140827 139 612 290 | 53. | 53 Jet Cash 698159 271 824 559 | 54. | 54 minerjones 346731 116 456 302 | 55. | 55 tvplus006 1311641 238 840 294 | |------------------------------------------------------------------------------------| 56. | 56 roycilik 1051955 156 833 338 | 57. | 57 Hhampuz 881377 343 986 435 | 58. | 58 Veleor 1177936 165 750 421 | 59. | 59 bob123 579628 187 989 611 | 60. | 60 mindrust 176777 201 739 503 | |------------------------------------------------------------------------------------| 61. | 61 Plutosky 1237522 55 696 381 | 62. | 62 witcher_sense 1433865 147 894 378 | 63. | 63 Toxic2040 239406 127 950 663 | 64. | 64 stompix 164749 224 661 495 | 65. | 65 Lafu 805820 165 694 412 | |------------------------------------------------------------------------------------| 66. | 66 coinlocket$ 1339716 194 621 345 | 67. | 67 infofront 41175 145 745 446 | 68. | 68 asche 1580039 140 727 446 | 69. | 69 OmegaStarScream 375981 224 703 425 | 70. | 70 tranthidung 1292764 251 868 361 | |------------------------------------------------------------------------------------| 71. | 71 CryptopreneurBrainboss 1052091 255 747 348 | 72. | 72 xtraelv 897509 222 737 337 | 73. | 73 LeGaulois 507856 222 593 366 | 74. | 74 Xal0lex 1068464 124 579 325 | 75. | 75 yahoo62278 355846 382 795 324 | |------------------------------------------------------------------------------------| 76. | 76 mole0815 1424178 132 885 629 | 77. | 77 Coding Enthusiast 879277 106 564 183 | 78. | 78 Lauda 101872 243 774 516 | 79. | 79 JSRAW 1210969 143 719 468 | 80. | 80 Welsh 84521 186 531 276 | |------------------------------------------------------------------------------------| 81. | 81 aundroid 1015954 113 694 407 | 82. | 82 Lakai01 1724800 100 735 392 | 83. | 83 satoshi 3 263 367 65 | 84. | 84 lovesmayfamilis 1982152 113 874 381 | 85. | 85 PHI16168 1071136 116 413 177 | |------------------------------------------------------------------------------------| 86. | 86 wwzsocki 131333 162 621 335 | 87. | 87 SaltySpitoon 38894 108 383 224 | 88. | 88 madnessteat 1894120 123 607 294 | 89. | 89 Piggy 188198 191 448 147 | 90. | 90 TMAN 98986 214 604 365 | |------------------------------------------------------------------------------------| 91. | 91 Kalemder 487377 145 610 264 | 92. | 92 tyKiwanuka 1025255 125 545 322 | 93. | 93 Corrosive 2005913 96 273 79 | 94. | 94 nullius 976210 221 717 301 | 95. | 95 theyoungmillionaire 1180530 151 369 117 | |------------------------------------------------------------------------------------| 96. | 96 zasad@ 2654005 134 577 269 | 97. | 97 masulum 1283017 137 618 230 | 98. | 98 dkbit98 1410401 172 712 257 | 99. | 99 Rikafip 2658890 184 725 294 | 100. | 100 Ratimov 2627711 141 857 468 | +------------------------------------------------------------------------------------+
|
|
|
Update 2020w26ABSTRACT- Period: 2018w4 - 2020w27 03jul2020 02:49:37 (GMT time).
- Observed weeks: 126
- Incomple weeks: 2018w4, 2020w27.
- The last merit transaction is at 03jul2020 02:49:37 (GMT time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+ | rank_total username userid total | |-------------------------------------------------------| 1. | 1 theymos 35 6859 | 2. | 2 LoyceV 459836 5553 | 3. | 3 o_e_l_e_o 1188543 4398 | 4. | 4 suchmoon 234771 4263 | 5. | 5 DdmrDdmr 1582324 3917 | |-------------------------------------------------------| 6. | 6 El duderino_ 1067333 3713 | 7. | 7 fillippone 1852120 3552 | 8. | 8 Last of the V8s 479624 3348 | 9. | 9 gmaxwell 11425 3044 | 10. | 10 mikeywith 2033515 2647 | |-------------------------------------------------------| 11. | 11 The Pharmacist 487418 2532 | 12. | 12 LFC_Bitcoin 379487 2399 | 13. | 13 nutildah 317618 2381 | 14. | 14 achow101 290195 2357 | 15. | 15 satoshi 3 2320 | |-------------------------------------------------------| 16. | 16 1miau 2143453 2320 | 17. | 17 VB1001 1138727 2123 | 18. | 18 xhomerx10 120694 2057 | 19. | 19 HCP 867786 2053 | 20. | 20 TheBeardedBaby 1291828 2011 | |-------------------------------------------------------| 21. | 21 Hhampuz 881377 1965 | 22. | 22 hilariousetc 397737 1931 | 23. | 23 JayJuanGee 252510 1914 | 24. | 24 abhiseshakana 1878246 1863 | 25. | 25 TryNinja 557798 1856 | |-------------------------------------------------------| 26. | 26 pooya87 379147 1802 | 27. | 27 DireWolfM14 2003859 1759 | 28. | 28 HairyMaclairy 181806 1706 | 29. | 29 gentlemand 155345 1668 | 30. | 30 Lauda 101872 1640 | |-------------------------------------------------------| 31. | 31 Steamtyme 1112531 1637 | 32. | 32 nullius 976210 1628 | 33. | 33 qwk 24140 1619 | 34. | 34 bob123 579628 1617 | 35. | 35 xtraelv 897509 1591 | |-------------------------------------------------------| 36. | 36 Vod 30747 1583 | 37. | 37 marlboroza 787736 1559 | 38. | 38 Ratimov 2627711 1552 | 39. | 39 bitmover 1554927 1540 | 40. | 40 tranthidung 1292764 1536 | |-------------------------------------------------------| 41. | 41 yogg 140827 1515 | 42. | 42 krogothmanhattan 1000199 1509 | 43. | 43 roycilik 1051955 1481 | 44. | 44 Toxic2040 239406 1473 | 45. | 45 jojo69 49008 1452 | |-------------------------------------------------------| 46. | 46 witcher_sense 1433865 1440 | 47. | 47 Veleor 1177936 1435 | 48. | 48 BitCryptex 1169179 1430 | 49. | 49 BobLawblaw 569455 1421 | 50. | 50 Jet Cash 698159 1415 | |-------------------------------------------------------| 51. | 51 philipma1957 64507 1410 | 52. | 52 joniboni 1275282 1406 | 53. | 53 yahoo62278 355846 1399 | 54. | 54 mocacino 405464 1396 | 55. | 55 hugeblack 1059082 1388 | |-------------------------------------------------------| 56. | 56 ETFbitcoin 359716 1388 | 57. | 57 Husna QA 1827294 1376 | 58. | 58 DarkStar_ 507936 1367 | 59. | 59 mu_enrico 1574226 1344 | 60. | 60 CryptopreneurBrainboss 1052091 1341 | |-------------------------------------------------------| 61. | 61 morvillz7z 1825672 1333 | 62. | 62 Coding Enthusiast 879277 1304 | 63. | 63 TMAN 98986 1303 | 64. | 64 nc50lc 1237156 1291 | 65. | 65 Coolcryptovator 1980983 1283 | |-------------------------------------------------------| 66. | 66 mole0815 1424178 1274 | 67. | 67 taikuri13 1855828 1271 | 68. | 68 coinlocket$ 1339716 1264 | 69. | 69 Carlton Banks 64205 1247 | 70. | 70 tvplus006 1311641 1239 | |-------------------------------------------------------| 71. | 71 lovesmayfamilis 1982152 1208 | 72. | 72 mk4 886521 1196 | 73. | 73 minerjones 346731 1179 | 74. | 74 asche 1580039 1165 | 75. | 75 Kalemder 487377 1164 | |-------------------------------------------------------| 76. | 76 Piggy 188198 1158 | 77. | 77 Goran_ 1039323 1150 | 78. | 78 Plutosky 1237522 1143 | 79. | 79 Rikafip 2658890 1141 | 80. | 80 SaltySpitoon 38894 1134 | |-------------------------------------------------------| 81. | 81 zasad@ 2654005 1123 | 82. | 82 stompix 164749 1119 | 83. | 83 OmegaStarScream 375981 1118 | 84. | 84 Xal0lex 1068464 1100 | 85. | 85 PHI16168 1071136 1096 | |-------------------------------------------------------| 86. | 86 aundroid 1015954 1095 | 87. | 87 masulum 1283017 1089 | 88. | 88 Lakai01 1724800 1085 | 89. | 89 LeGaulois 507856 1084 | 90. | 90 infofront 41175 1064 | |-------------------------------------------------------| 91. | 91 tyKiwanuka 1025255 1061 | 92. | 92 Welsh 84521 1058 | 93. | 93 dkbit98 1410401 1048 | 94. | 94 madnessteat 1894120 1034 | 95. | 95 Lafu 805820 1032 | |-------------------------------------------------------| 96. | 96 mindrust 176777 1030 | 97. | 97 Corrosive 2005913 1026 | 98. | 98 JSRAW 1210969 1020 | 99. | 99 wwzsocki 131333 1020 | 100. | 100 theyoungmillionaire 1180530 1013 | +-------------------------------------------------------+
List of top 100 merit earners, sorted descendingly by median of weekly earned merits:Algorithm: The idea are a narrower IQR and higher p25 are better. IQR plays its role as spread of weekly earned merits. p25 plays its role as lower threshold of 50% weekly earned merits. - Descending median
- Ascending IQR (IQR = p75 - p25)
- Descending p25
The new algorithm means if 2 users have same median, their ranks will be decided by IQR, which user has lower IQR will have higher position in the list. Next, if 2 users still have same IQR, the last indicator will be used: p25. The user has higher p25 value will have higher position. +-------------------------------------------------------------------------------------------+ | rank_median username userid median iqr p25 p75 min max | |-------------------------------------------------------------------------------------------| 1. | 1 LoyceV 459836 40.5 35.5 23 58.5 2 115 | 2. | 2 o_e_l_e_o 1188543 33 28 18 46 0 101 | 3. | 3 suchmoon 234771 29.5 29.5 16.5 46 0 148 | 4. | 4 El duderino_ 1067333 27 22.5 17 39.5 0 100 | 5. | 5 DdmrDdmr 1582324 25 26 15 41 0 106 | |-------------------------------------------------------------------------------------------| 6. | 6 Last of the V8s 479624 23 25.5 11.5 37 0 118 | 7. | 7 theymos 35 21 49 10 59 0 1328 | 8. | 8 fillippone 1852120 19.5 45 0 45 0 141 | 9. | 9 mikeywith 2033515 18.5 31.5 0 31.5 0 92 | 10. | 10 nutildah 317618 15.5 25 1.5 26.5 0 94 | |-------------------------------------------------------------------------------------------| 11. | 11 The Pharmacist 487418 15 18.5 9 27.5 0 93 | 12. | 12 LFC_Bitcoin 379487 15 20.5 6 26.5 0 73 | 13. | 13 achow101 290195 14.5 16.5 7.5 24 0 77 | 14. | 14 VB1001 1138727 14.5 27 0 27 0 98 | 15. | 15 JayJuanGee 252510 13.5 14.5 6 20.5 0 54 | |-------------------------------------------------------------------------------------------| 16. | 16 gmaxwell 11425 13 26 4 30 0 178 | 17. | 17 HairyMaclairy 181806 12 13 5 18 0 56 | 18. | 18 pooya87 379147 12 14.5 6 20.5 0 48 | 19. | 19 HCP 867786 12 17 5 22 0 69 | 20. | 20 xhomerx10 120694 11.5 15 5 20 0 121 | |-------------------------------------------------------------------------------------------| 21. | 21 TheBeardedBaby 1291828 11.5 20.5 5 25.5 0 52 | 22. | 22 1miau 2143453 11.5 23.5 2.5 26 0 100 | 23. | 23 TryNinja 557798 11 12.5 6 18.5 0 173 | 24. | 24 gentlemand 155345 10 13 5 18 1 74 | 25. | 25 abhiseshakana 1878246 10 18 3 21 0 73 | |-------------------------------------------------------------------------------------------| 26. | 26 hilariousetc 397737 10 19 2 21 0 90 | 27. | 27 philipma1957 64507 9.5 11 5 16 0 38 | 28. | 28 BobLawblaw 569455 9 10 5 15 0 55 | 29. | 29 ETFbitcoin 359716 9 10 4 14 0 50 | 30. | 30 marlboroza 787736 9 11 3.5 14.5 0 79 | |-------------------------------------------------------------------------------------------| 31. | 31 bitmover 1554927 9 12 4 16 0 127 | 32. | 32 hugeblack 1059082 9 13 2 15 0 62 | 33. | 33 qwk 24140 9 15 3 18 0 88 | 34. | 34 Steamtyme 1112531 8.5 15 2.5 17.5 0 115 | 35. | 35 Goran_ 1039323 8 9.5 3.5 13 0 36 | |-------------------------------------------------------------------------------------------| 36. | 36 jojo69 49008 8 10 4 14 0 102 | 37. | 37 taikuri13 1855828 8 12 4 16 0 36 | 38. | 38 mu_enrico 1574226 8 13 2 15 0 78 | 39. | 39 morvillz7z 1825672 8 14 1 15 0 58 | 40. | 40 DireWolfM14 2003859 8 18.5 1 19.5 0 84 | |-------------------------------------------------------------------------------------------| 41. | 41 Vod 30747 7.5 10.5 2.5 13 0 158 | 42. | 42 Husna QA 1827294 7.5 12 3 15 0 62 | 43. | 43 krogothmanhattan 1000199 7.5 14 2 16 0 77 | 44. | 44 Carlton Banks 64205 7 10 3 13 0 76 | 45. | 45 mk4 886521 7 10 3 13 0 52 | |-------------------------------------------------------------------------------------------| 46. | 46 mocacino 405464 7 10.5 4 14.5 0 50 | 47. | 47 joniboni 1275282 7 11 4 15 0 54 | 48. | 48 Coolcryptovator 1980983 7 11.5 2.5 14 0 64 | 49. | 49 DarkStar_ 507936 7 11.5 2 13.5 0 78 | 50. | 50 nc50lc 1237156 7 11.5 2 13.5 0 68 | |-------------------------------------------------------------------------------------------| 51. | 51 BitCryptex 1169179 7 12 3 15 0 126 | 52. | 52 yogg 140827 7 12 2 14 0 91 | 53. | 53 Jet Cash 698159 7 13 2 15 0 65 | 54. | 54 minerjones 346731 7 13 1 14 0 67 | 55. | 55 tvplus006 1311641 7 15 1 16 0 42 | |-------------------------------------------------------------------------------------------| 56. | 56 roycilik 1051955 7 15.5 2.5 18 0 48 | 57. | 57 Hhampuz 881377 7 16 3 19 0 92 | 58. | 58 Veleor 1177936 7 16.5 0 16.5 0 90 | 59. | 59 bob123 579628 7 17 2 19 0 68 | 60. | 60 mindrust 176777 6.5 8.5 2 10.5 0 55 | |-------------------------------------------------------------------------------------------| 61. | 61 Plutosky 1237522 6.5 11.5 2 13.5 0 43 | 62. | 62 witcher_sense 1433865 6.5 18.5 0 18.5 0 76 | 63. | 63 Toxic2040 239406 6.5 19.5 0 19.5 0 105 | 64. | 64 stompix 164749 6 8.5 3.5 12 0 62 | 65. | 65 Lafu 805820 6 9 2 11 0 41 | |-------------------------------------------------------------------------------------------| 66. | 66 coinlocket$ 1339716 6 10 2 12 0 98 | 67. | 67 infofront 41175 6 10 2 12 0 74 | 68. | 68 asche 1580039 6 10.5 1.5 12 0 50 | 69. | 69 OmegaStarScream 375981 6 11 2 13 0 43 | 70. | 70 tranthidung 1292764 6 16 1 17 0 98 | |-------------------------------------------------------------------------------------------| 71. | 71 CryptopreneurBrainboss 1052091 6 16 0 16 0 81 | 72. | 72 xtraelv 897509 6 17 1 18 0 104 | 73. | 73 LeGaulois 507856 5.5 8 3 11 0 64 | 74. | 74 Xal0lex 1068464 5 9 2 11 0 116 | 75. | 75 yahoo62278 355846 5 10.5 2 12.5 0 130 | |-------------------------------------------------------------------------------------------| 76. | 76 mole0815 1424178 5 11 2 13 0 73 | 77. | 77 Coding Enthusiast 879277 5 12.5 0 12.5 0 116 | 78. | 78 Lauda 101872 5 15 1 16 0 238 | 79. | 79 JSRAW 1210969 4.5 13 0 13 0 76 | 80. | 80 Welsh 84521 4 8 1 9 0 103 | |-------------------------------------------------------------------------------------------| 81. | 81 aundroid 1015954 4 8 .5 8.5 0 64 | 82. | 82 Lakai01 1724800 4 10.5 .5 11 0 63 | 83. | 83 satoshi 3 4 19 1 20 0 482 | 84. | 84 lovesmayfamilis 1982152 3.5 16 0 16 0 45 | 85. | 85 PHI16168 1071136 3 8.5 0 8.5 0 85 | |-------------------------------------------------------------------------------------------| 86. | 86 wwzsocki 131333 3 10.5 0 10.5 0 70 | 87. | 87 SaltySpitoon 38894 3 12 0 12 0 94 | 88. | 88 madnessteat 1894120 3 13 0 13 0 54 | 89. | 89 Piggy 188198 2.5 13.5 0 13.5 0 85 | 90. | 90 TMAN 98986 1.5 9.5 0 9.5 0 275 | |-------------------------------------------------------------------------------------------| 91. | 91 Kalemder 487377 1 7 0 7 0 161 | 92. | 92 tyKiwanuka 1025255 1 10 0 10 0 107 | 93. | 93 Corrosive 2005913 0 5 0 5 0 172 | 94. | 94 nullius 976210 0 5.5 0 5.5 0 180 | 95. | 95 theyoungmillionaire 1180530 0 10 0 10 0 104 | |-------------------------------------------------------------------------------------------| 96. | 96 zasad@ 2654005 0 12.5 0 12.5 0 72 | 97. | 97 masulum 1283017 0 13 0 13 0 61 | 98. | 98 dkbit98 1410401 0 13 0 13 0 63 | 99. | 99 Rikafip 2658890 0 13.5 0 13.5 0 100 | 100. | 100 Ratimov 2627711 0 23 0 23 0 93 | +-------------------------------------------------------------------------------------------+
|
|
|
Converted dataset: - In 2020 at 03jul2020 02:49:37 (GMT time)
- The last one, with dayid = 892 is an incomplete day.
+-----------------------------------------------------------------+ | dayid date merit dofw week month year | |-----------------------------------------------------------------| 708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 | 709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 | 710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 | 711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 | 712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 | |-----------------------------------------------------------------| 713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 | 714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 | 715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 | 716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 | 717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 | |-----------------------------------------------------------------| 718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 | 719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 | 720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 | 721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 | 722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 | 724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 | 725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 | 726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 | 727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 | 729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 | 730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 | 731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 | 732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 | |-----------------------------------------------------------------| 733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 | 734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 | 735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 | 736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 | 737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 | |-----------------------------------------------------------------| 738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 | 739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 | 740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 | 741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 | 742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 | |-----------------------------------------------------------------| 743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 | 744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 | 745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 | 746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 | 747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 | |-----------------------------------------------------------------| 748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 | 749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 | 750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 | 751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 | 752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 | |-----------------------------------------------------------------| 753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 | 754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 | 755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 | 756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 | 757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 | 759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 | 760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 | 761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 | 762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 | 764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 | 765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 | 766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 | 767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 | |-----------------------------------------------------------------| 768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 | 769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 | 770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 | 771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 | 772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 | 774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 | 775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 | 776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 | 777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 | 779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 | 780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 | 781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 | 782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 | |-----------------------------------------------------------------| 783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 | 784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 | 785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 | 786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 | 787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 | |-----------------------------------------------------------------| 788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 | 789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 | 790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 | 791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 | 792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 | 794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 | 795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 | 796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 | 797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 | 799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 | 800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 | 801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 | 802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 | |-----------------------------------------------------------------| 803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 | 804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 | 805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 | 806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 | 807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 | 809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 | 810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 | 811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 | 812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 | 814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 | 815. | 815 17apr2020 827 Friday 2020w16 2020m4 2020 | 816. | 816 18apr2020 752 Saturday 2020w16 2020m4 2020 | 817. | 817 19apr2020 627 Sunday 2020w16 2020m4 2020 | |-----------------------------------------------------------------| 818. | 818 20apr2020 626 Monday 2020w16 2020m4 2020 | 819. | 819 21apr2020 723 Tuesday 2020w16 2020m4 2020 | 820. | 820 22apr2020 700 Wednesday 2020w17 2020m4 2020 | 821. | 821 23apr2020 687 Thursday 2020w17 2020m4 2020 | 822. | 822 24apr2020 706 Friday 2020w17 2020m4 2020 | |-----------------------------------------------------------------| 823. | 823 25apr2020 639 Saturday 2020w17 2020m4 2020 | 824. | 824 26apr2020 663 Sunday 2020w17 2020m4 2020 | 825. | 825 27apr2020 654 Monday 2020w17 2020m4 2020 | 826. | 826 28apr2020 490 Tuesday 2020w17 2020m4 2020 | 827. | 827 29apr2020 795 Wednesday 2020w18 2020m4 2020 | |-----------------------------------------------------------------| 828. | 828 30apr2020 983 Thursday 2020w18 2020m4 2020 | 829. | 829 01may2020 1099 Friday 2020w18 2020m5 2020 | 830. | 830 02may2020 745 Saturday 2020w18 2020m5 2020 | 831. | 831 03may2020 716 Sunday 2020w18 2020m5 2020 | 832. | 832 04may2020 659 Monday 2020w18 2020m5 2020 | |-----------------------------------------------------------------| 833. | 833 05may2020 702 Tuesday 2020w18 2020m5 2020 | 834. | 834 06may2020 707 Wednesday 2020w19 2020m5 2020 | 835. | 835 07may2020 852 Thursday 2020w19 2020m5 2020 | 836. | 836 08may2020 734 Friday 2020w19 2020m5 2020 | 837. | 837 09may2020 806 Saturday 2020w19 2020m5 2020 | |-----------------------------------------------------------------| 838. | 838 10may2020 919 Sunday 2020w19 2020m5 2020 | 839. | 839 11may2020 988 Monday 2020w19 2020m5 2020 | 840. | 840 12may2020 642 Tuesday 2020w19 2020m5 2020 | 841. | 841 13may2020 734 Wednesday 2020w20 2020m5 2020 | 842. | 842 14may2020 929 Thursday 2020w20 2020m5 2020 | |-----------------------------------------------------------------| 843. | 843 15may2020 681 Friday 2020w20 2020m5 2020 | 844. | 844 16may2020 749 Saturday 2020w20 2020m5 2020 | 845. | 845 17may2020 1198 Sunday 2020w20 2020m5 2020 | 846. | 846 18may2020 728 Monday 2020w20 2020m5 2020 | 847. | 847 19may2020 783 Tuesday 2020w20 2020m5 2020 | |-----------------------------------------------------------------| 848. | 848 20may2020 759 Wednesday 2020w21 2020m5 2020 | 849. | 849 21may2020 774 Thursday 2020w21 2020m5 2020 | 850. | 850 22may2020 805 Friday 2020w21 2020m5 2020 | 851. | 851 23may2020 731 Saturday 2020w21 2020m5 2020 | 852. | 852 24may2020 598 Sunday 2020w21 2020m5 2020 | |-----------------------------------------------------------------| 853. | 853 25may2020 937 Monday 2020w21 2020m5 2020 | 854. | 854 26may2020 730 Tuesday 2020w21 2020m5 2020 | 855. | 855 27may2020 698 Wednesday 2020w22 2020m5 2020 | 856. | 856 28may2020 690 Thursday 2020w22 2020m5 2020 | 857. | 857 29may2020 686 Friday 2020w22 2020m5 2020 | |-----------------------------------------------------------------| 858. | 858 30may2020 565 Saturday 2020w22 2020m5 2020 | 859. | 859 31may2020 530 Sunday 2020w22 2020m5 2020 | 860. | 860 01jun2020 834 Monday 2020w22 2020m6 2020 | 861. | 861 02jun2020 659 Tuesday 2020w22 2020m6 2020 | 862. | 862 03jun2020 488 Wednesday 2020w23 2020m6 2020 | |-----------------------------------------------------------------| 863. | 863 04jun2020 759 Thursday 2020w23 2020m6 2020 | 864. | 864 05jun2020 640 Friday 2020w23 2020m6 2020 | 865. | 865 06jun2020 589 Saturday 2020w23 2020m6 2020 | 866. | 866 07jun2020 741 Sunday 2020w23 2020m6 2020 | 867. | 867 08jun2020 638 Monday 2020w23 2020m6 2020 | |-----------------------------------------------------------------| 868. | 868 09jun2020 821 Tuesday 2020w23 2020m6 2020 | 869. | 869 10jun2020 666 Wednesday 2020w24 2020m6 2020 | 870. | 870 11jun2020 623 Thursday 2020w24 2020m6 2020 | 871. | 871 12jun2020 688 Friday 2020w24 2020m6 2020 | 872. | 872 13jun2020 395 Saturday 2020w24 2020m6 2020 | |-----------------------------------------------------------------| 873. | 873 14jun2020 602 Sunday 2020w24 2020m6 2020 | 874. | 874 15jun2020 682 Monday 2020w24 2020m6 2020 | 875. | 875 16jun2020 534 Tuesday 2020w24 2020m6 2020 | 876. | 876 17jun2020 570 Wednesday 2020w25 2020m6 2020 | 877. | 877 18jun2020 587 Thursday 2020w25 2020m6 2020 | |-----------------------------------------------------------------| 878. | 878 19jun2020 675 Friday 2020w25 2020m6 2020 | 879. | 879 20jun2020 658 Saturday 2020w25 2020m6 2020 | 880. | 880 21jun2020 439 Sunday 2020w25 2020m6 2020 | 881. | 881 22jun2020 602 Monday 2020w25 2020m6 2020 | 882. | 882 23jun2020 835 Tuesday 2020w25 2020m6 2020 | |-----------------------------------------------------------------| 883. | 883 24jun2020 700 Wednesday 2020w26 2020m6 2020 | 884. | 884 25jun2020 579 Thursday 2020w26 2020m6 2020 | 885. | 885 26jun2020 679 Friday 2020w26 2020m6 2020 | 886. | 886 27jun2020 481 Saturday 2020w26 2020m6 2020 | 887. | 887 28jun2020 657 Sunday 2020w26 2020m6 2020 | |-----------------------------------------------------------------| 888. | 888 29jun2020 746 Monday 2020w26 2020m6 2020 | 889. | 889 30jun2020 632 Tuesday 2020w26 2020m6 2020 | 890. | 890 01jul2020 734 Wednesday 2020w27 2020m7 2020 | 891. | 891 02jul2020 531 Thursday 2020w27 2020m7 2020 | 892. | 892 03jul2020 34 Friday 2020w27 2020m7 2020 | +-----------------------------------------------------------------+
|
|
|
For specific days of weekTransaction countSunday +---------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |---------------------------------------------------------------------| 1. | 1 1 - 6 UTC 255 18 1028 1010 1 5944 | 2. | 2 7 - 12 UTC 270 19 1150 1131 1 6144 | 3. | 3 19 - 0 UTC 338 27 1277 1250 1 5866 | 4. | 4 13 - 18 UTC 375 23 1541 1518 1 5787 | +---------------------------------------------------------------------+
+------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |------------------------------------------------------------------| 1. | 1 5 239 18 950 932 1 5944 | 2. | 2 6 240 15 1042 1027 1 3789 | 3. | 3 10 256 15 1103 1088 1 3527 | 4. | 4 3 257.5 17 1067 1050 1 4968 | 5. | 5 4 258 20 1022 1002 1 5682 | |------------------------------------------------------------------| 6. | 6 7 258 19 1024 1005 1 5593 | 7. | 7 1 258.5 18 1062 1044 1 4342 | 8. | 8 2 259 21 999.5 978.5 1 3846 | 9. | 9 9 261 17 1124 1107 1 3499 | 10. | 10 8 271 19 1153 1134 1 6144 | |------------------------------------------------------------------| 11. | 11 11 285 22 1131 1109 1 5550 | 12. | 12 23 297 22 1141 1119 1 5866 | 13. | 13 12 298 22 1349 1327 1 5201 | 14. | 14 0 319 26 1107 1081 1 3868 | 15. | 15 14 328.5 18 1561 1543 1 3972 | |------------------------------------------------------------------| 16. | 16 22 333 31 1255.5 1224.5 1 3781 | 17. | 17 21 338 24 1329 1305 1 4348 | 18. | 18 19 361.5 30 1398 1368 1 3693 | 19. | 19 18 367 27 1569 1542 1 5459 | 20. | 20 13 368.5 18 1330 1312 1 3851 | |------------------------------------------------------------------| 21. | 21 17 377 26 1567.5 1541.5 1 5787 | 22. | 22 15 407 23 1717 1694 1 3856 | 23. | 23 16 409 29 1559 1530 1 3912 | 24. | 24 20 412 32 1415 1383 1 3732 | +------------------------------------------------------------------+
Monday +--------------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |--------------------------------------------------------------------------| 1. | 1 1 - 6 UTC 1750 847.5 2442.5 1595 1 4043 | 2. | 2 7 - 12 UTC 2403.5 1921 2691.5 770.5 1 3505 | 3. | 3 19 - 0 UTC 2491 1875 2887 1012 1 3786 | 4. | 4 13 - 18 UTC 2544 2075 2839 764 1 3653 | +--------------------------------------------------------------------------+
+---------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |---------------------------------------------------------------------| 1. | 1 5 1525 699 2388 1689 14 4043 | 2. | 2 3 1657 830 2408 1578 21 3109 | 3. | 3 2 1664 738 2310 1572 1 3930 | 4. | 4 1 1746 992 2520 1528 29 3665 | 5. | 5 4 1856 819 2461 1642 57 3159 | |---------------------------------------------------------------------| 6. | 6 0 1910 1115 2627 1512 1 3786 | 7. | 7 6 2009 1120 2549 1429 1 3469 | 8. | 8 13 2065 1631 2552 921 894 3323 | 9. | 9 8 2214 1845 2572 727 3 3059 | 10. | 10 7 2296 1311 2613 1302 59 3172 | |---------------------------------------------------------------------| 11. | 11 22 2319.5 1612 2760.5 1148.5 38 3781 | 12. | 12 9 2394 1861 2625 764 1 3285 | 13. | 13 11 2396 1929 2728 799 1 3505 | 14. | 14 14 2446 2060 2702 642 1 3407 | 15. | 15 23 2462.5 1731 2882 1151 1 3772 | |---------------------------------------------------------------------| 16. | 16 10 2471 2098 2677 579 87 3163 | 17. | 17 21 2522 2046 2851 805 102 3560 | 18. | 18 16 2578 2181 2870 689 216 3562 | 19. | 19 12 2593.5 2276.5 2808.5 532 231 3243 | 20. | 20 19 2640 2077.5 3014.5 937 425 3491 | |---------------------------------------------------------------------| 21. | 21 18 2651 2192 2950 758 1 3565 | 22. | 22 15 2663 2227 2835 608 212 3553 | 23. | 23 17 2689 2338 2947 609 168 3653 | 24. | 24 20 2699 2364 3009 645 1 3662 | +---------------------------------------------------------------------+
Tuesday +--------------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |--------------------------------------------------------------------------| 1. | 1 1 - 6 UTC 2011.5 1146.5 2539 1392.5 1 3487 | 2. | 2 7 - 12 UTC 2446.5 1849 2724 875 1 3729 | 3. | 3 19 - 0 UTC 2456 1868 2858 990 1 3656 | 4. | 4 13 - 18 UTC 2582.5 2164.5 2898 733.5 1 3685 | +--------------------------------------------------------------------------+
+--------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |--------------------------------------------------------------------| 1. | 1 6 1761 1035 2384 1349 48 3205 | 2. | 2 5 1774.5 959.5 2602.5 1643 1 3441 | 3. | 3 4 1910 948 2448 1500 21 3265 | 4. | 4 0 2115.5 1280 2620 1340 1 3572 | 5. | 5 2 2140 1611 2538 927 40 3353 | |--------------------------------------------------------------------| 6. | 6 3 2147 1489 2605 1116 49 3243 | 7. | 7 1 2177 1267 2670 1403 71 3487 | 8. | 8 13 2189.5 1555 2572 1017 102 3448 | 9. | 9 7 2281 1370 2643 1273 1 3272 | 10. | 10 23 2301.5 1257 2827 1570 59 3629 | |--------------------------------------------------------------------| 11. | 11 8 2336 1738 2630 892 184 3496 | 12. | 12 22 2340.5 1842 2804 962 1 3536 | 13. | 13 14 2489.5 2111 2782.5 671.5 1 3472 | 14. | 14 12 2493.5 1892.5 2773 880.5 1 3539 | 15. | 15 9 2496.5 1976 2722 746 470 3729 | |--------------------------------------------------------------------| 16. | 16 10 2513 2162 2736 574 80 3240 | 17. | 17 11 2568 1933 2802 869 1 3451 | 18. | 18 21 2571 2080 2899 819 1 3656 | 19. | 19 19 2640 2211 2951 740 1 3548 | 20. | 20 20 2654 2090 2961 871 42 3619 | |--------------------------------------------------------------------| 21. | 21 15 2666.5 2363 2928 565 1 3685 | 22. | 22 18 2668 2253.5 2948.5 695 1 3664 | 23. | 23 16 2683 2205 2933 728 1 3328 | 24. | 24 17 2783 2423 2980 557 1 3466 | +--------------------------------------------------------------------+
Wednesday +--------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |--------------------------------------------------------------------| 1. | 1 4 1873.5 911 2413 1502 1 3333 | 2. | 2 6 1900.5 1103.5 2489.5 1386 55 3437 | 3. | 3 3 1963 1008 2458 1450 25 3135 | 4. | 4 2 2031.5 1255 2524 1269 1 3380 | 5. | 5 5 2032 1350 2566 1216 64 3323 | |--------------------------------------------------------------------| 6. | 6 0 2157 1339.5 2678.5 1339 1 3630 | 7. | 7 7 2222 1392 2688 1296 20 3288 | 8. | 8 13 2242.5 1479 2638 1159 1 3202 | 9. | 9 1 2293 982 2728 1746 32 3379 | 10. | 10 8 2339 1661 2712 1051 33 3352 | |--------------------------------------------------------------------| 11. | 11 10 2362 1718 2627 909 1 3261 | 12. | 12 23 2388 1564 2858 1294 1 3642 | 13. | 13 14 2515 2013 2816 803 2 3457 | 14. | 14 11 2544 1920 2780 860 1 3514 | 15. | 15 9 2553 2085.5 2835.5 750 1 3259 | |--------------------------------------------------------------------| 16. | 16 22 2591 2066.5 2865 798.5 152 3577 | 17. | 17 12 2596 2244 2811 567 324 3328 | 18. | 18 20 2600 2155 2863 708 220 3520 | 19. | 19 18 2603 2199 2923 724 126 3548 | 20. | 20 21 2646 2127 2940 813 359 3552 | |--------------------------------------------------------------------| 21. | 21 19 2647 2150 3034 884 1 3596 | 22. | 22 15 2659 2241 2944 703 13 3322 | 23. | 23 16 2664 2323.5 2870 546.5 268 3428 | 24. | 24 17 2751.5 2503.5 2982.5 479 1 3582 | +--------------------------------------------------------------------+
+--------------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |--------------------------------------------------------------------------| 1. | 1 1 - 6 UTC 2002 1087 2526 1439 1 3437 | 2. | 2 7 - 12 UTC 2459 1884.5 2759.5 875 1 3514 | 3. | 3 19 - 0 UTC 2525 1932 2887 955 1 3642 | 4. | 4 13 - 18 UTC 2597 2143 2883 740 1 3582 | +--------------------------------------------------------------------------+
Thursday +----------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |----------------------------------------------------------------------| 1. | 1 1 - 6 UTC 2057 1176 2559 1383 1 3867 | 2. | 2 7 - 12 UTC 2446 1943 2710 767 1 3468 | 3. | 3 19 - 0 UTC 2467 1787 2819 1032 1 3775 | 4. | 4 13 - 18 UTC 2539 2020 2860 840 1 4377 | +----------------------------------------------------------------------+
+--------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |--------------------------------------------------------------------| 1. | 1 4 1928 770 2515 1745 79 3481 | 2. | 2 5 1952.5 1085 2536 1451 1 3609 | 3. | 3 13 1991 1559.5 2543 983.5 21 4377 | 4. | 4 3 2026.5 1053 2533 1480 44 3336 | 5. | 5 0 2119 1350 2647 1297 1 3775 | |--------------------------------------------------------------------| 6. | 6 6 2134 1433 2589 1156 16 3192 | 7. | 7 2 2138.5 1577 2574 997 22 3867 | 8. | 8 1 2154.5 1519 2651 1132 1 3488 | 9. | 9 22 2261 1575 2754 1179 1 3425 | 10. | 10 8 2302.5 1723.5 2550.5 827 187 3222 | |--------------------------------------------------------------------| 11. | 11 10 2333.5 1629 2656 1027 1 3144 | 12. | 12 7 2371.5 1924 2636 712 124 3213 | 13. | 13 23 2438 1539 2799 1260 203 3748 | 14. | 14 14 2511 2073.5 2818.5 745 1 3483 | 15. | 15 12 2513 2180 2767.5 587.5 1 3468 | |--------------------------------------------------------------------| 16. | 16 20 2517 1787 2853 1066 149 3639 | 17. | 17 18 2534 2082 2814 732 1 3576 | 18. | 18 11 2552 2062 2761 699 129 3362 | 19. | 19 9 2561 2210.5 2787.5 577 1 3219 | 20. | 20 21 2599.5 2159.5 2892 732.5 49 3732 | |--------------------------------------------------------------------| 21. | 21 17 2635 2108.5 2951.5 843 101 3712 | 22. | 22 15 2642 2256 2898 642 105 3658 | 23. | 23 19 2665 2170 2924 754 209 3574 | 24. | 24 16 2695.5 2213.5 2969.5 756 1 3481 | +--------------------------------------------------------------------+
Friday +----------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |----------------------------------------------------------------------| 1. | 1 1 - 6 UTC 2032 1196 2589 1393 1 3926 | 2. | 2 7 - 12 UTC 2407 1785 2723 938 1 3518 | 3. | 3 19 - 0 UTC 2505 1810 2883 1073 1 3809 | 4. | 4 13 - 18 UTC 2599 2155 2887 732 1 3711 | +----------------------------------------------------------------------+
+---------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |---------------------------------------------------------------------| 1. | 1 3 1743 1052 2422 1370 33 3410 | 2. | 2 2 1898.5 1008 2390 1382 49 3513 | 3. | 3 4 1933.5 1240 2447 1207 12 3926 | 4. | 4 5 2121 1143 2696 1553 1 3434 | 5. | 5 13 2146 1628.5 2647 1018.5 1 3351 | |---------------------------------------------------------------------| 6. | 6 0 2182 1337.5 2687.5 1350 17 3514 | 7. | 7 1 2199 1340 2851 1511 73 3652 | 8. | 8 8 2255.5 1543.5 2600 1056.5 1 3489 | 9. | 9 7 2314 1470 2639 1169 1 3518 | 10. | 10 6 2323 1393 2718 1325 25 3582 | |---------------------------------------------------------------------| 11. | 11 9 2397 1315 2723 1408 81 3369 | 12. | 12 14 2440 1975 2789 814 1 3330 | 13. | 13 12 2491 2158 2757 599 107 3423 | 14. | 14 10 2495 2109 2744 635 1 3426 | 15. | 15 20 2511 2003 2834 831 1 3578 | |---------------------------------------------------------------------| 16. | 16 11 2512.5 1871 2823 952 32 3228 | 17. | 17 23 2523 1686 2959 1273 42 3535 | 18. | 18 22 2562 1973 2903 930 78 3666 | 19. | 19 19 2562.5 1839 2918.5 1079.5 1 3809 | 20. | 20 21 2627 2049.5 2960 910.5 22 3566 | |---------------------------------------------------------------------| 21. | 21 18 2659 2153 2898 745 32 3711 | 22. | 22 15 2699 2369 2914 545 1 3503 | 23. | 23 16 2720 2356 2929 573 1 3653 | 24. | 24 17 2783 2529 2979 450 719 3469 | +---------------------------------------------------------------------+
Saturday +--------------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |--------------------------------------------------------------------------| 1. | 1 1 - 6 UTC 1796 940 2511 1571 1 3712 | 2. | 2 7 - 12 UTC 2210 1205 2665 1460 1 3908 | 3. | 3 19 - 0 UTC 2231.5 1159.5 2801 1641.5 1 3809 | 4. | 4 13 - 18 UTC 2374.5 1689 2790 1101 1 3797 | +--------------------------------------------------------------------------+
+-------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |-------------------------------------------------------------------| 1. | 1 6 1481 893 2341 1448 1 3438 | 2. | 2 4 1671 749 2389 1640 14 3712 | 3. | 3 5 1691 915 2625 1710 19 3535 | 4. | 4 13 1785 1396 2298 902 1 3053 | 5. | 5 21 1915 838 2779 1941 43 3809 | |-------------------------------------------------------------------| 6. | 6 23 1964 971 2826 1855 1 3652 | 7. | 7 8 1970 984 2511 1527 1 3908 | 8. | 8 3 1980 1018 2548 1530 46 3595 | 9. | 9 9 1987 920 2527 1607 19 3401 | 10. | 10 1 2010 1045 2695 1650 1 3485 | |-------------------------------------------------------------------| 11. | 11 2 2050 1228.5 2532.5 1304 1 3542 | 12. | 12 0 2127 996 2705 1709 29 3451 | 13. | 13 22 2165 1140 2721 1581 36 3679 | 14. | 14 10 2198 1073 2630 1557 104 3375 | 15. | 15 11 2259 1262 2779 1517 14 3405 | |-------------------------------------------------------------------| 16. | 16 20 2313 1512 2787 1275 48 3622 | 17. | 17 14 2335 1898 2710 812 1 3605 | 18. | 18 7 2354 1247 2742 1495 43 3364 | 19. | 19 18 2433 1772 2832 1060 1 3564 | 20. | 20 12 2478 1790 2736 946 1 3317 | |-------------------------------------------------------------------| 21. | 21 16 2500.5 1856 2809 953 1 3459 | 22. | 22 15 2518 1884 2905 1021 46 3490 | 23. | 23 17 2587 1795 2885 1090 1 3797 | 24. | 24 19 2612 1971 2966 995 1 3515 | +-------------------------------------------------------------------+
|
|
|
Updates for weekend and institutional effects Transaction countsDays of week +--------------------------------------------------------------------+ | rank_median dofw median p25 p75 iqr min max | |--------------------------------------------------------------------| 1. | 1 Sunday 1919 935 2598 1663 1 3912 | 2. | 2 Saturday 2183 1223 2704 1481 1 3908 | 3. | 3 Monday 2364 1634 2747 1113 1 4043 | 4. | 4 Tuesday 2395 1751 2776 1025 1 3729 | 5. | 5 Thursday 2402 1762 2758 996 1 4377 | |--------------------------------------------------------------------| 6. | 6 Friday 2414 1721 2798 1077 1 3926 | 7. | 7 Wednesday 2428 1760 2787 1027 1 3642 | +--------------------------------------------------------------------+
4 hour frames +--------------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |--------------------------------------------------------------------------| 1. | 1 1 - 6 UTC 1902 996 2509.5 1513.5 1 4043 | 2. | 2 7 - 12 UTC 2363 1606 2699 1093 1 3908 | 3. | 3 19 - 0 UTC 2416 1621 2845.5 1224.5 1 3809 | 4. | 4 13 - 18 UTC 2514 1975 2853 878 1 4377 | +--------------------------------------------------------------------------+
Specific hours +---------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |---------------------------------------------------------------------| 1. | 1 5 1745 884 2538.5 1654.5 1 4043 | 2. | 2 4 1837 843 2425 1582 1 3926 | 3. | 3 3 1898.5 1008 2481 1473 21 3595 | 4. | 4 2 1912 1076 2457 1381 1 3930 | 5. | 5 6 1929 1063.5 2498 1434.5 1 3789 | |---------------------------------------------------------------------| 6. | 6 13 2048.5 1464 2531 1067 1 4377 | 7. | 7 1 2064 1086 2674 1588 1 3684 | 8. | 8 0 2070 1099 2642.5 1543.5 1 3786 | 9. | 9 8 2179 1493 2577 1084 1 3908 | 10. | 10 7 2273 1278 2646 1368 1 3518 | |---------------------------------------------------------------------| 11. | 11 22 2326 1575.5 2790 1214.5 1 3781 | 12. | 12 23 2331 1321 2844 1523 1 3772 | 13. | 13 10 2364 1694.5 2658.5 964 1 3426 | 14. | 14 9 2372 1540 2700 1160 1 3729 | 15. | 15 14 2409.5 1948.5 2749 800.5 1 3605 | |---------------------------------------------------------------------| 16. | 16 11 2441 1698.5 2765.5 1067 1 3514 | 17. | 17 21 2496 1745 2881 1136 1 3809 | 18. | 18 12 2503 1978 2776 798 1 3539 | 19. | 19 20 2519.5 1926.5 2885.5 959 1 3662 | 20. | 20 18 2557.5 2033 2890 857 1 3711 | |---------------------------------------------------------------------| 21. | 21 16 2602 2164 2888 724 1 3912 | 22. | 22 19 2610 2009 2943 934 1 3809 | 23. | 23 15 2630 2180 2903 723 1 3685 | 24. | 24 17 2685 2238 2959 721 1 3797 | +---------------------------------------------------------------------+
Fees per kbDays of week +---------------------------------------------------------------------------------+ | rank_median dofw median p25 p75 iqr min max | |---------------------------------------------------------------------------------| 1. | 1 Sunday 12700.8 8690.33 20556.8 11866.47 0 188742 | 2. | 2 Saturday 14257.6 9221.46 24028.1 14806.64 0 251598 | 3. | 3 Monday 15810.1 10102.7 27392.7 17290 0 186707 | 4. | 4 Tuesday 17296 11337.8 29133.3 17795.5 0 189464 | 5. | 5 Wednesday 18283.3 11404 32239.9 20835.9 0 240323 | |---------------------------------------------------------------------------------| 6. | 6 Friday 18470.4 11586.7 35324 23737.3 0 200909 | 7. | 7 Thursday 18698.7 11583.7 35223.6 23639.9 0 205993 | +---------------------------------------------------------------------------------+
4 hour frames +--------------------------------------------------------------------------------------+ | rank_median hour_frame median p25 p75 iqr min max | |--------------------------------------------------------------------------------------| 1. | 1 1 - 6 UTC 14715.75 9900.97 23627.65 13726.68 0 179317 | 2. | 2 7 - 12 UTC 15385 9859.04 27262.2 17403.16 0 240323 | 3. | 3 19 - 0 UTC 15526.9 9584.255 28404.7 18820.45 0 251598 | 4. | 4 13 - 18 UTC 20462 12816.1 37721.7 24905.6 0 205993 | +--------------------------------------------------------------------------------------+
Specific hours +-----------------------------------------------------------------------------------+ | rank_median hour median p25 p75 iqr min max | |-----------------------------------------------------------------------------------| 1. | 1 23 13672.5 8924.76 25592.5 16667.74 0 197133 | 2. | 2 0 13974.3 8839.105 23478.65 14639.54 0 251598 | 3. | 3 6 13974.5 9788.5 22205.45 12416.95 0 179317 | 4. | 4 5 14066.3 9908.475 20872.65 10964.18 0 158879 | 5. | 5 1 14225.4 9301.72 23568.6 14266.88 0 153043 | |-----------------------------------------------------------------------------------| 6. | 6 4 14648.5 9749.46 23919.4 14169.94 0 170940 | 7. | 7 11 14746.1 9253.01 26180.15 16927.14 0 184278 | 8. | 8 8 14754.7 9768.505 25968.8 16200.3 0 163804 | 9. | 9 7 15214.3 10228.3 25028.7 14800.4 0 172784 | 10. | 10 22 15233.3 9400.43 30033.5 20633.07 0 175237 | |-----------------------------------------------------------------------------------| 11. | 11 3 15264.15 10360.4 24253.3 13892.9 702.706 151196 | 12. | 12 9 15411.3 10056.1 27745.4 17689.3 0 163924 | 13. | 13 10 15793.8 10048.1 27756.1 17708 0 240323 | 14. | 14 21 15954.7 9574.7 29815.7 20241 0 165064 | 15. | 15 2 16281.25 10476.9 26734.1 16257.2 0 171137 | |-----------------------------------------------------------------------------------| 16. | 16 12 17040.6 9942.12 31164.4 21222.28 0 191862 | 17. | 17 20 17292.65 10539.9 32032.15 21492.25 0 195694 | 18. | 18 19 17643.5 10512.7 31874.1 21361.4 0 182568 | 19. | 19 18 19047.3 11483.9 33592.4 22108.5 0 184813 | 20. | 20 15 19439.85 12662.85 34582.15 21919.3 0 197136 | |-----------------------------------------------------------------------------------| 21. | 21 17 19527.35 12374 35840.9 23466.9 0 188799 | 22. | 22 14 19864.95 12991.75 33917.3 20925.55 0 203965 | 23. | 23 16 20149.8 12503.3 34950.6 22447.3 0 205993 | 24. | 24 13 26047.5 15521.4 60192.1 44670.7 0 203426 | +-----------------------------------------------------------------------------------+
|
|
|
The article is interesting: https://cointelegraph.com/news/set-your-alarms-most-bitcoin-is-now-traded-during-these-hoursIt, once again, confirms that weekends are good periods to move bitcoin, with often cheaper fees than in other days of week. You can always look at mempool and choose time to move your bitcoin at cheapest fees but generally you should do this in weekends. Regarding to time frames of day, my previous analysis for the whole period since 2018 so I will do another one for this year (2020) only and compare my results with what are given by the article. Quality of the image is not good. Further data from on-chain analyst Skew confirms the trend. At present, around 4 pm UTC marks the most intense time of day for Bitcoin trading.
Again using Coinbase, in addition to Binance, Skew finds that midweek is also more intense than the start or end of the working week. Weekends, as is often noted, are quieter still.
As an example, over the past 30 days, Coinbase saw an average of $6.5 million in volume between 3 pm and 4 pm UTC. The quietest hour, 9 am, saw just $2 million.
Those times correspond to around 12 pm EST, or 2.5 hours after NY markets officially open.
|
|
|
Few days back I have one withdrawal and this was without any decuction so I am sure now they are not taking any fees and its all free of charge.
It happened about one or two months ago, when BTC transaction fees were too high and Fortune Jack listened to community and decided to waive the fees. I checked and the decision was made on 20 May. AFAIK, there is nothing change since that day. Hi Dear Community,As you all have mentioned, there was some increase in transaction fees on FortuneJack and not only. It was long discussed in this thread as well, that increase was absolutely not something we intended to benefit on, this was caused by issues attached to halving as Cointelegraph reported .
However, we understand concerns and complaints from the community, and have decided to waive the fee for all BTC transactions at FJ. From now on, the casino will cover all BTC transaction fees concerning deposits and withdrawals made on our website.
With you all luck, FJ.
|
|
|
Deleted posts have two types and they have different meanings too. - Deleted by moderators, staffs, admins. They are spam posts or posts break forum rules.
- Deleted by users themselves: They are likely shitposts - users delete by themselves, clearing post history when they are maturing or from hacked accounts - new owners; or bump posts from service threads.
It will be cool if you can differentiate between deleted bump posts and the others.
|
|
|
It's a good thing the number's shrinking, right? And what exactly does the number in brackets stand for? So the (-7629) for June means so many accounts have been banned in one month?
Figures in bracket blocks are for raw changes (increasing or decreasing) compare to previous months.
|
|
|
Like what I said on my story before, I am also once a spammer, never know how to quote properly, never know how to post properly... Until I learned from the rude people. You just need to be open, set aside the emotions then you will learn.
The forum was changed by the merit system, and the merit system changed the community. The system is created with main targets on spammers and it works - to reduce newly generated accounts, active accounts and ranked-up accounts. There are less accounts in all three categories since the merit system kick-off. The time-series plot is outdated but things have not changed too much recent months. Ranked up users, Bitcointalk Merit Dashboard. There are 16671 ranked-up users since the kick-off of the merit system.
|
|
|
I have the thread that is outdated because I don't remember or don't have time to visit the stats center of the forum to get stats at beginning of each month. If you can dump it each month, please do it. You should really learn how to use crontab I got you this: loyce.club/other/stats. It has 2 test-files, and saves a new copy of Bitcointalk Statistics Center once a day, at midnight Amsterdam time. Thank you LoyceV. Sure, I will spend time to learn Crontab because I missed some of data imports in weeks I was too busy and don't have time to import data manually.
|
|
|
|