Interesting updates for you guys. Let's rock! - Sundays are better than Saturdays to move bitcoin with lower median fees.
- The best hour-frame to move bitcoin is from 19 - 0 UTC.
- There are likely changes in best hour-frame from institutional capital (see the changes in best hour-frame between 3 periods 2011 - 2013; 2014 - 2017 and 2018 - 2020. You can easily see the hour-frame 19 - 0 UTC slowly climbs up to the top (from most expensive to cheapest.
Note:
Stratified by hoursFull data 2009 - 2020 Summary for variables: feeperkb
by categories of: hour
hour | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
0 | 26207.0 103393.4 502453.6 31582.6 9641.4 96372.9 0.0 3.8e+07
1 | 26027.0 101575.1 584553.1 31519.3 9643.9 94205.6 0.0 7.3e+07
2 | 26190.0 99196.3 558043.1 31413.7 10418.1 91417.5 0.0 5.9e+07
3 | 25924.0 98541.5 439057.2 31315.8 10686.8 92773.0 0.0 4.6e+07
4 | 26386.0 96736.9 533605.3 30908.2 9790.8 92421.4 0.0 5.7e+07
5 | 26239.0 100688.4 1203361.0 31137.5 10137.5 93916.8 0.0 1.9e+08
6 | 26343.0 94430.7 344936.3 30902.0 9382.3 91444.4 0.0 3.2e+07
7 | 25722.0 95806.3 691420.5 30821.2 9416.7 91236.1 0.0 9.9e+07
8 | 26336.0 94652.7 301875.3 31561.7 9990.2 95045.6 0.0 2.2e+07
9 | 25961.0 101684.3 586712.4 31652.4 9923.4 94733.9 0.0 7.9e+07
10 | 26414.0 99916.0 611851.1 31418.8 9687.6 94223.7 0.0 8.5e+07
11 | 26590.0 103306.3 408190.1 31799.3 9247.8 95784.0 0.0 2.0e+07
12 | 26344.0 96474.0 277447.6 32695.3 9264.1 95163.6 0.0 7982190.0
13 | 26274.0 162112.9 6254117.2 38078.1 12905.2 99756.3 0.0 8.8e+08
14 | 26318.0 112315.0 568639.9 34930.4 11684.6 99917.8 0.0 5.1e+07
15 | 26157.0 116210.3 1352799.8 34572.2 11018.2 103306.0 0.0 2.0e+08
16 | 26543.0 153261.5 7027734.4 34412.3 11694.5 103588.0 0.0 1.1e+09
17 | 26471.0 112858.1 1421354.0 34208.4 11042.6 105605.0 0.0 2.2e+08
18 | 26636.0 107566.9 866164.7 33158.4 10174.8 103299.5 0.0 1.3e+08
19 | 26575.0 112892.3 1009389.1 32478.4 9633.9 101863.0 0.0 1.4e+08
20 | 26244.0 110802.0 640915.2 32843.2 10050.4 103353.5 0.0 6.3e+07
21 | 26517.0 102294.4 351400.5 32119.7 9234.4 100586.0 0.0 2.5e+07
22 | 26558.0 103410.2 599391.9 31784.7 9936.9 99970.9 0.0 6.7e+07
23 | 26269.0 119384.4 2912319.3 30677.9 8937.7 94768.8 0.0 4.7e+08
---------+--------------------------------------------------------------------------------
Total | 631245.0 108343.2 2128284.4 32314.6 10077.3 97241.8 0.0 1.1e+09
------------------------------------------------------------------------------------------
+---------------------------------------------------------------------------------+
| rank_median hour median p25 p75 iqr min max |
|---------------------------------------------------------------------------------|
1. | 1 23 30677.9 8937.71 94768.8 85831.09 0 4.67e+08 |
2. | 2 7 30821.2 9416.68 91236.1 81819.42 0 9.94e+07 |
3. | 3 6 30902 9382.32 91444.4 82062.08 0 3.17e+07 |
4. | 4 4 30908.2 9790.79 92421.4 82630.61 0 5.66e+07 |
5. | 5 5 31137.5 10137.5 93916.8 83779.3 0 1.89e+08 |
|---------------------------------------------------------------------------------|
6. | 6 3 31315.85 10686.75 92773 82086.25 0 4.64e+07 |
7. | 7 2 31413.7 10418.1 91417.5 80999.4 0 5.94e+07 |
8. | 8 10 31418.75 9687.57 94223.7 84536.13 0 8.54e+07 |
9. | 9 1 31519.3 9643.87 94205.6 84561.73 0 7.33e+07 |
10. | 10 8 31561.7 9990.22 95045.6 85055.38 0 2.17e+07 |
|---------------------------------------------------------------------------------|
11. | 11 0 31582.6 9641.44 96372.9 86731.46 0 3.75e+07 |
12. | 12 9 31652.4 9923.39 94733.9 84810.51 0 7.88e+07 |
13. | 13 22 31784.7 9936.87 99970.9 90034.03 0 6.69e+07 |
14. | 14 11 31799.35 9247.78 95784 86536.22 0 2.02e+07 |
15. | 15 21 32119.7 9234.37 100586 91351.63 0 2.50e+07 |
|---------------------------------------------------------------------------------|
16. | 16 19 32478.4 9633.91 101863 92229.09 0 1.39e+08 |
17. | 17 12 32695.3 9264.115 95163.55 85899.43 0 7982190 |
18. | 18 20 32843.2 10050.4 103353.5 93303.1 0 6.31e+07 |
19. | 19 18 33158.45 10174.8 103299.5 93124.7 0 1.33e+08 |
20. | 20 17 34208.4 11042.6 105605 94562.4 0 2.24e+08 |
|---------------------------------------------------------------------------------|
21. | 21 16 34412.3 11694.5 103588 91893.5 0 1.14e+09 |
22. | 22 15 34572.2 11018.2 103306 92287.8 0 1.98e+08 |
23. | 23 14 34930.4 11684.6 99917.8 88233.2 0 5.09e+07 |
24. | 24 13 38078.05 12905.2 99756.3 86851.09 0 8.81e+08 |
+---------------------------------------------------------------------------------+
2009, 2010 dropped. Summary for variables: feeperkb
by categories of: hour
hour | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
0 | 22065.0 119735.6 533293.4 41091.5 20681.8 118328.0 0.0 3.8e+07
1 | 21879.0 117844.4 629134.0 40825.4 21152.9 115141.0 0.0 7.3e+07
2 | 22080.0 115814.6 601628.9 40136.9 21274.0 112003.0 0.0 5.9e+07
3 | 21768.0 114133.3 465364.8 40321.5 21490.6 112990.0 0.0 4.6e+07
4 | 22156.0 112700.0 574555.4 39809.6 20935.8 112992.0 0.0 5.7e+07
5 | 22032.0 107976.5 298043.0 40401.1 21019.3 113605.5 0.0 1.8e+07
6 | 22111.0 110241.3 364796.2 39932.1 20821.9 111434.0 0.0 3.2e+07
7 | 21602.0 111130.5 747347.2 39996.8 20505.2 111931.0 0.0 9.9e+07
8 | 22179.0 109869.6 314554.7 41045.5 21037.5 114681.0 0.0 2.2e+07
9 | 21891.0 116504.8 627838.6 41578.4 21343.4 115269.0 0.0 7.9e+07
10 | 22280.0 115326.4 657863.9 41057.7 21118.1 115319.5 0.0 8.5e+07
11 | 22369.0 119387.0 430631.1 41538.4 20883.6 116678.0 0.0 2.0e+07
12 | 22139.0 109772.7 273177.9 42048.0 21453.4 114715.0 0.0 7982190.0
13 | 22167.0 188499.6 6807822.4 50770.5 25092.7 119968.0 0.0 8.8e+08
14 | 22112.0 129063.0 580356.9 45560.9 23555.0 121351.0 0.0 5.1e+07
15 | 21848.0 132179.0 1426235.8 46691.3 23097.8 124090.0 0.0 2.0e+08
16 | 22316.0 176964.7 7663158.5 45197.8 22753.9 124488.0 0.0 1.1e+09
17 | 22307.0 130185.8 1543968.1 45670.1 22336.9 125788.0 0.0 2.2e+08
18 | 22368.0 123704.9 937479.3 44309.4 21841.8 124521.5 0.0 1.3e+08
19 | 22289.0 131506.8 1096674.4 43140.1 21367.8 124172.0 0.0 1.4e+08
20 | 22148.0 127433.8 688209.1 43422.1 21416.8 124435.5 0.0 6.3e+07
21 | 22258.0 118984.4 372195.4 42225.6 20886.9 122386.0 0.0 2.5e+07
22 | 22453.0 118017.1 577542.8 41200.9 20794.6 120058.0 0.0 6.7e+07
23 | 22018.0 140462.2 3179888.2 40217.6 20228.7 116186.0 0.0 4.7e+08
---------+--------------------------------------------------------------------------------
Total | 530835.0 124932.2 2301321.3 42317.6 21560.9 117911.0 0.0 1.1e+09
------------------------------------------------------------------------------------------
+---------------------------------------------------------------------------------+
| rank_median hour median p25 p75 iqr min max |
|---------------------------------------------------------------------------------|
1. | 1 4 39809.6 20935.85 112992 92056.15 0 5.66e+07 |
2. | 2 6 39932.1 20821.9 111434 90612.1 0 3.17e+07 |
3. | 3 7 39996.85 20505.2 111931 91425.8 0 9.94e+07 |
4. | 4 2 40136.9 21274 112003 90729 0 5.94e+07 |
5. | 5 23 40217.65 20228.7 116186 95957.3 0 4.67e+08 |
|---------------------------------------------------------------------------------|
6. | 6 3 40321.5 21490.6 112990 91499.4 0 4.64e+07 |
7. | 7 5 40401.15 21019.25 113605.5 92586.25 0 1.83e+07 |
8. | 8 1 40825.4 21152.9 115141 93988.1 0 7.33e+07 |
9. | 9 8 41045.5 21037.5 114681 93643.5 0 2.17e+07 |
10. | 10 10 41057.7 21118.05 115319.5 94201.45 0 8.54e+07 |
|---------------------------------------------------------------------------------|
11. | 11 0 41091.5 20681.8 118328 97646.2 0 3.75e+07 |
12. | 12 22 41200.9 20794.6 120058 99263.4 0 6.69e+07 |
13. | 13 11 41538.4 20883.6 116678 95794.4 0 2.02e+07 |
14. | 14 9 41578.4 21343.4 115269 93925.6 0 7.88e+07 |
15. | 15 12 42048 21453.4 114715 93261.6 0 7982190 |
|---------------------------------------------------------------------------------|
16. | 16 21 42225.55 20886.9 122386 101499.1 0 2.50e+07 |
17. | 17 19 43140.1 21367.8 124172 102804.2 0 1.39e+08 |
18. | 18 20 43422.15 21416.75 124435.5 103018.8 0 6.31e+07 |
19. | 19 18 44309.45 21841.8 124521.5 102679.7 0 1.33e+08 |
20. | 20 16 45197.8 22753.9 124488 101734.1 0 1.14e+09 |
|---------------------------------------------------------------------------------|
21. | 21 14 45560.9 23555 121351 97796 0 5.09e+07 |
22. | 22 17 45670.1 22336.9 125788 103451.1 0 2.24e+08 |
23. | 23 15 46691.3 23097.8 124090 100992.2 0 1.98e+08 |
24. | 24 13 50770.5 25092.7 119968 94875.3 0 8.81e+08 |
+---------------------------------------------------------------------------------+
Since 2018 only Summary for variables: feeperkb
by categories of: hour
hour | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
0 | 5296.0 34068.8 63377.0 17455.9 10361.9 30103.8 0.0 879840.0
1 | 5358.0 35508.3 63042.6 18429.1 11018.9 32417.6 0.0 612975.0
2 | 5342.0 36398.2 62284.5 19624.6 12016.7 34092.1 0.0 595758.0
3 | 5291.0 35297.5 59725.5 19593.6 12054.1 32813.7 0.0 605636.0
4 | 5454.0 35303.5 60762.7 18834.2 11664.1 32047.0 0.0 592790.0
5 | 5370.0 34743.2 60697.7 18271.3 11680.2 31979.4 0.0 640286.0
6 | 5360.0 35593.4 63258.3 18098.7 11084.8 32745.3 0.0 684738.0
7 | 5288.0 33648.5 57450.5 18232.8 11129.2 32125.8 0.0 603728.0
8 | 5392.0 37056.4 64431.8 18619.2 11347.2 34914.3 0.0 959738.0
9 | 5316.0 36231.1 61063.3 19385.3 11308.5 34475.4 0.0 537101.0
10 | 5399.0 36393.9 62302.2 18386.5 10734.8 33974.3 0.0 873767.0
11 | 5370.0 36402.4 63649.1 18350.7 10694.9 34230.9 0.0 795582.0
12 | 5208.0 36498.4 62782.4 19024.1 10853.4 35527.1 0.0 625477.0
13 | 5346.0 51329.0 67594.9 32485.4 16084.0 62872.2 0.0 643424.0
14 | 5431.0 42508.3 67507.5 23476.7 13511.5 43648.1 0.0 621954.0
15 | 5217.0 43999.4 71250.5 23233.9 13896.7 42568.1 0.0 637244.0
16 | 5455.0 42098.8 69826.6 21741.7 12784.5 40758.3 0.0 650844.0
17 | 5495.0 40808.0 67702.9 21119.7 12241.5 38691.7 0.0 604820.0
18 | 5422.0 38965.6 68666.8 19388.3 11359.3 36139.9 0.0 621837.0
19 | 5530.0 37187.8 65017.2 18647.9 10713.8 34300.3 0.0 600615.0
20 | 5418.0 35860.3 63591.5 18090.5 10542.4 33115.9 0.0 652918.0
21 | 5511.0 34012.6 62688.2 17183.4 9969.6 31152.6 0.0 710515.0
22 | 5562.0 33991.4 62420.1 16991.7 10375.2 31100.6 0.0 679488.0
23 | 5453.0 31921.1 63766.6 16042.0 9903.2 27813.6 0.0 614009.0
---------+--------------------------------------------------------------------------------
Total | 129284.0 37318.3 64167.9 19274.7 11389.7 35444.2 0.0 959738.0
------------------------------------------------------------------------------------------
+-------------------------------------------------------------------------------+
| rank_median hour median p25 p75 iqr min max |
|-------------------------------------------------------------------------------|
1. | 1 23 16042 9903.23 27813.6 17910.37 0 614009 |
2. | 2 22 16991.7 10375.2 31100.6 20725.4 0 679488 |
3. | 3 21 17183.4 9969.59 31152.6 21183.01 0 710515 |
4. | 4 0 17455.95 10361.9 30103.8 19741.9 0 879840 |
5. | 5 20 18090.5 10542.4 33115.9 22573.5 0 652918 |
|-------------------------------------------------------------------------------|
6. | 6 6 18098.7 11084.85 32745.25 21660.4 0 684738 |
7. | 7 7 18232.75 11129.15 32125.85 20996.7 0 603728 |
8. | 8 5 18271.35 11680.2 31979.4 20299.2 0 640286 |
9. | 9 11 18350.65 10694.9 34230.9 23536 0 795582 |
10. | 10 10 18386.5 10734.8 33974.3 23239.5 0 873767 |
|-------------------------------------------------------------------------------|
11. | 11 1 18429.1 11018.9 32417.6 21398.7 0 612975 |
12. | 12 8 18619.15 11347.2 34914.25 23567.05 0 959738 |
13. | 13 19 18647.9 10713.8 34300.3 23586.5 0 600615 |
14. | 14 4 18834.15 11664.1 32047 20382.9 0 592790 |
15. | 15 12 19024.1 10853.35 35527.1 24673.75 0 625477 |
|-------------------------------------------------------------------------------|
16. | 16 9 19385.25 11308.5 34475.45 23166.95 0 537101 |
17. | 17 18 19388.25 11359.3 36139.9 24780.6 0 621837 |
18. | 18 3 19593.6 12054.1 32813.7 20759.6 0 605636 |
19. | 19 2 19624.55 12016.7 34092.1 22075.4 0 595758 |
20. | 20 17 21119.7 12241.5 38691.7 26450.2 0 604820 |
|-------------------------------------------------------------------------------|
21. | 21 16 21741.7 12784.5 40758.3 27973.8 0 650844 |
22. | 22 15 23233.9 13896.7 42568.1 28671.4 0 637244 |
23. | 23 14 23476.7 13511.5 43648.1 30136.6 0 621954 |
24. | 24 13 32485.45 16084 62872.2 46788.2 0 643424 |
+-------------------------------------------------------------------------------+
Only for data since 2018 till now Generally, Sundays are better than Saturdays. And it seems the hour frame from 19 - 0 UTC time is best to move bitcoin. Saturdays: +----------------------------------------------------------------------------------+
| rank_median hour median p25 p75 iqr min max |
|----------------------------------------------------------------------------------|
1. | 1 23 13923.75 8881.78 24646.2 15764.42 0 489047 |
2. | 2 19 14864.2 8933.15 28243.8 19310.65 0 531955 |
3. | 3 22 15268.75 9715.71 27223.1 17507.39 0 516933 |
4. | 4 21 15311.7 9357.44 25406.7 16049.26 0 505436 |
5. | 5 20 15550.3 9795.88 27806.7 18010.82 0 549642 |
|----------------------------------------------------------------------------------|
6. | 6 18 15790.25 9265.41 30937.8 21672.39 0 514021 |
7. | 7 11 15896.1 9954.67 31395.4 21440.73 0 505285 |
8. | 8 17 16185.3 10321.2 30604.9 20283.7 0 520122 |
9. | 9 10 16791.4 9803.845 31005.05 21201.21 0 501147 |
10. | 10 7 16926.05 10425 30062.3 19637.3 0 525720 |
|----------------------------------------------------------------------------------|
11. | 11 5 17112.4 10894.3 29917.9 19023.6 0 515187 |
12. | 12 8 17285.5 10686.3 30582.2 19895.9 0 530335 |
13. | 13 12 17335.95 10381.3 30578.7 20197.4 0 518726 |
14. | 14 0 17348 10772 28477.4 17705.4 0 515283 |
15. | 15 15 17633.6 10762.6 31614.8 20852.2 0 495409 |
|----------------------------------------------------------------------------------|
16. | 16 16 17673.3 10282.6 32347.9 22065.3 0 532994 |
17. | 17 6 17688.1 11474.2 31929.1 20454.9 0 557016 |
18. | 18 4 18152.15 11692.25 29211.9 17519.65 0 592790 |
19. | 19 9 18410.5 11200.3 29740.2 18539.9 1107.9 497460 |
20. | 20 14 18425.95 11298.3 31693 20394.7 0 534530 |
|----------------------------------------------------------------------------------|
21. | 21 3 19115.9 12166.3 29836.2 17669.9 0 552175 |
22. | 22 1 19219.55 11401.8 31400.7 19998.9 0 541738 |
23. | 23 2 19597.8 12589.25 33943.7 21354.45 0 488497 |
24. | 24 13 24028.1 13132.5 54373.4 41240.9 0 485792 |
+----------------------------------------------------------------------------------+
Sundays: +-------------------------------------------------------------------------------+
| rank_median hour median p25 p75 iqr min max |
|-------------------------------------------------------------------------------|
1. | 1 23 13565 8924.87 23388.1 14463.23 0 541857 |
2. | 2 20 13689.9 8678.07 25328.5 16650.43 0 495122 |
3. | 3 21 13959.2 8622.04 25230.7 16608.66 0 710515 |
4. | 4 22 14058.1 9195.76 25558.5 16362.74 0 542217 |
5. | 5 19 15032.3 8969.46 26609.4 17639.94 0 504652 |
|-------------------------------------------------------------------------------|
6. | 6 11 15592.9 9817.8 26720.6 16902.8 0 542285 |
7. | 7 18 15609.35 9349.24 27726.1 18376.86 0 535356 |
8. | 8 0 15625 10214 29802.4 19588.4 0 507533 |
9. | 9 9 15900.1 10137.6 30006.4 19868.8 0 536622 |
10. | 10 5 15982 10905.45 26213.85 15308.4 0 546672 |
|-------------------------------------------------------------------------------|
11. | 11 10 16055.9 9409.94 27165.6 17755.66 0 576058 |
12. | 12 1 16160.15 10067.6 28240.4 18172.8 0 497123 |
13. | 13 6 16245.7 10107.4 28107.6 18000.2 0 544942 |
14. | 14 12 16250.15 9725.29 29132 19406.71 0 520193 |
15. | 15 17 16351 9893.29 31823.95 21930.66 0 551834 |
|-------------------------------------------------------------------------------|
16. | 16 16 16524.9 9867.565 26740.5 16872.93 0 579706 |
17. | 17 7 16573.6 10314.6 28666.2 18351.6 0 548623 |
18. | 18 14 16951.85 10722 30204.5 19482.5 0 501031 |
19. | 19 8 17095 11187.3 29898.8 18711.5 0 539959 |
20. | 20 4 17110.85 10385.2 27700.7 17315.5 0 496670 |
|-------------------------------------------------------------------------------|
21. | 21 2 17411.5 11265.6 30644.7 19379.1 0 487012 |
22. | 22 15 17938.55 11079.7 32156.85 21077.15 0 536418 |
23. | 23 3 18753 11542.8 29393.5 17850.7 0 490857 |
24. | 24 13 22715.5 12521.7 50709.1 38187.4 0 547448 |
+-------------------------------------------------------------------------------+
Now, let's get a better overview by stratifying hours into 4 categories of hour-frame. 26 May 2020, I expanded it with a previous period, 2011 - 2013.Saturday +---------------------------------------------------------------------------------------------------------------+
| period hour_frame rank_median median iqr p25 p75 min max dofw |
|---------------------------------------------------------------------------------------------------------------|
1. | 2018 - 2020 19 - 0 UTC 1 15321 17522.71 9514.79 27037.5 0 549642 saturday |
2. | 2018 - 2020 7 - 12 UTC 2 17088.6 20200.6 10423 30623.6 0 530335 saturday |
3. | 2018 - 2020 13 - 18 UTC 3 17974.8 24323 10752.2 35075.2 0 534530 saturday |
4. | 2018 - 2020 1 - 6 UTC 4 18399 19203.7 11587.5 30791.2 0 592790 saturday |
|---------------------------------------------------------------------------------------------------------------|
5. | 2014 - 2017 7 - 12 UTC 1 36939.35 46594.9 25879.3 72474.2 0 1022810 saturday |
6. | 2014 - 2017 19 - 0 UTC 2 37383.2 44285.4 26544.9 70830.3 0 2341400 saturday |
7. | 2014 - 2017 1 - 6 UTC 3 37849.3 45339.6 26481.6 71821.2 0 1093800 saturday |
8. | 2014 - 2017 13 - 18 UTC 4 38777.6 51459.3 26441.9 77901.2 0 1.15e+07 saturday |
|---------------------------------------------------------------------------------------------------------------|
9. | 2011 - 2013 1 - 6 UTC 1 110409.5 141870.2 43122.8 184993 0 1.14e+07 saturday |
10. | 2011 - 2013 7 - 12 UTC 2 112179 130555.2 46890.8 177446 0 1.77e+07 saturday |
11. | 2011 - 2013 13 - 18 UTC 3 119406.5 141103.1 48470.9 189574 0 1.90e+07 saturday |
12. | 2011 - 2013 19 - 0 UTC 4 120998 140629 54706 195335 0 6.04e+07 saturday |
+---------------------------------------------------------------------------------------------------------------+
Sunday +--------------------------------------------------------------------------------------------------------------+
| period hour_frame rank_median median iqr p25 p75 min max dofw |
|--------------------------------------------------------------------------------------------------------------|
1. | 2018 - 2020 19 - 0 UTC 1 14227.6 16710.62 9082.48 25793.1 0 710515 sunday |
2. | 2018 - 2020 7 - 12 UTC 2 16216 18386.4 10102.7 28489.1 0 576058 sunday |
3. | 2018 - 2020 1 - 6 UTC 3 16822.1 17625.7 10782.2 28407.9 0 546672 sunday |
4. | 2018 - 2020 13 - 18 UTC 4 17529.2 22342.5 10392.2 32734.7 0 579706 sunday |
|--------------------------------------------------------------------------------------------------------------|
5. | 2014 - 2017 7 - 12 UTC 1 35401.9 42150.8 25213.9 67364.7 0 1108710 sunday |
6. | 2014 - 2017 1 - 6 UTC 2 35798.95 39597.35 25903.75 65501.1 0 1361470 sunday |
7. | 2014 - 2017 19 - 0 UTC 3 37735.6 47127.5 26159.8 73287.3 0 2659140 sunday |
8. | 2014 - 2017 13 - 18 UTC 4 37808 49860.7 24980.9 74841.6 0 3.81e+07 sunday |
|--------------------------------------------------------------------------------------------------------------|
9. | 2011 - 2013 1 - 6 UTC 1 111690 139801.4 46474.6 186276 0 3.17e+07 sunday |
10. | 2011 - 2013 7 - 12 UTC 2 116072 133731.5 48235.5 181967 0 2.17e+07 sunday |
11. | 2011 - 2013 13 - 18 UTC 3 117441 139759.4 49094.6 188854 0 8.81e+08 sunday |
12. | 2011 - 2013 19 - 0 UTC 4 123885.5 138552.3 56797.65 195350 0 4.67e+08 sunday |
+--------------------------------------------------------------------------------------------------------------+
Once again, in the same hour-frame, Sundays are better than Saturdays to move bitcoin. Below are percent of differences between Sundays and Saturdays, in the period 2018 - 2020. * 19 - 0 UTC
. di (14228-15321)/15321*100
-7.1339991
* 7 - 12 UTC
. di (16216-17089)/17089*100
-5.1085494
* 1 - 6 UTC
. di (16822-17975)/17975*100
-6.4144645
* 13 - 18 UTC
. di (17529-18399)/18399*100
-4.7285179
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Then I will end after 6 weeks in the FJ campaign. I am happy with it despite of it is a short time for me. Anyway it is life and I appreciated all things we have experienced together.
Think positively instead, it will be my first time after many months I will be able to wear my own avatar, that I truly love it.
Good luck to Fortune Jack, Hhampuz, and everyone here.
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I know the page of Johoe but as I said there is only chart and no details on fees over days of week. I can look at the chart and guess but I don't like that.  By the way, could you confirm the time zone from blockchair.com is in GMT time zone or another one, please.
Or it's just that people are still getting drunk at weekends and stop depositing and withdrawing as well as other purchases.  Actually I'm hoping it is like that although when finally coinbase started batching transaction this drop happened. I don't know. Despite of the fact that Sundays and Saturdays are best days to move bitcoin, the Monday has the best declining percentages (-38.3%) in median fees (between 2018 and 2020). The next two ones are Sunday (-36.3%) and Saturday (-33.3%).
OP is updated with more details! |
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Ok fil. I will take a look at it. The OP is in-progress. I make it because I saw people talk about weekend effects on fees. But there is no stats on this. Just a vague clue over the forum. I know people look at the mempool stats and jump to such conclusion.
Now, here you go with detailed stats. I will stratify it over specific years, tomorrow. I am off my computer now.
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I made an update and additional analysis here, please check it along with OP.Changes of median fees and best hour-frame to move bitcoins, potential institutional effects
Data source:
Notes:All timestamps are in the UTC timezone, and have the following format: YYYY-MM-DD hh:ii:ss
From 03/01/2009 to 21/05/2020, there are some interesting things on bitcoin transaction fees (satoshis/ kB), over days of week. Summary for variables: feeperkb
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 593.0 115803.4 468940.0 34697.5 16324.6 128883.5 0.0 9484216.2
Monday | 593.0 111365.9 401325.0 37557.2 18009.1 140753.8 0.0 9225123.3
Tuesday | 593.0 100150.8 158071.5 38152.3 19496.3 138605.4 0.0 1605024.8
Wednesday | 593.0 96682.2 152792.6 37311.1 19622.8 140122.4 0.0 1935712.1
Thursday | 593.0 100000.1 155034.9 37832.8 19532.9 137204.1 0.0 1614434.0
Friday | 593.0 100188.7 165738.1 38049.2 19795.5 139654.3 0.0 1739244.7
Saturday | 594.0 91788.8 135577.6 35897.1 16857.5 129571.5 0.0 964080.3
----------+--------------------------------------------------------------------------------
Total | 4152.0 102280.3 266939.1 37111.2 18488.7 137180.5 0.0 9484216.2
-------------------------------------------------------------------------------------------
Ranks in median fees: +---------------------------------------------------------------------------------------------------+
| rank_median dofw median iqr p25 p75 min max median_all |
|---------------------------------------------------------------------------------------------------|
1. | 1 Sunday 34697.51 112558.9 16324.63 128883.5 0 9484216 37111.2 |
2. | 2 Saturday 35897.09 112713.9 16857.54 129571.5 0 964080.3 37111.2 |
3. | 3 Wednesday 37311.14 120499.6 19622.8 140122.4 0 1935712 37111.2 |
4. | 4 Monday 37557.21 122744.7 18009.13 140753.8 0 9225123 37111.2 |
5. | 5 Thursday 37832.75 117671.2 19532.88 137204.1 0 1614434 37111.2 |
|---------------------------------------------------------------------------------------------------|
6. | 6 Friday 38049.16 119858.8 19795.47 139654.3 0 1739245 37111.2 |
7. | 7 Tuesday 38152.32 119109.1 19496.31 138605.4 0 1605025 37111.2 |
+---------------------------------------------------------------------------------------------------+
Which days of week are the best for you to move your bitcoins? Look at the following results The two best days are in the weekend: - Sunday: ~ 6.5% lower fees (than median fees)
- Saturday: ~ 3.3 lower fees (than median fees)
+---------------------------------------------------------------------------------------------------------------+
| rank_median dofw median median_all percent iqr p25 p75 min max |
|---------------------------------------------------------------------------------------------------------------|
1. | 1 Sunday 34697.51 37111.2 -6.503933 112558.9 16324.63 128883.5 0 9484216 |
2. | 2 Saturday 35897.09 37111.2 -3.271534 112713.9 16857.54 129571.5 0 964080.3 |
3. | 3 Wednesday 37311.14 37111.2 .5387735 120499.6 19622.8 140122.4 0 1935712 |
4. | 4 Monday 37557.21 37111.2 1.201836 122744.7 18009.13 140753.8 0 9225123 |
5. | 5 Thursday 37832.75 37111.2 1.944304 117671.2 19532.88 137204.1 0 1614434 |
|---------------------------------------------------------------------------------------------------------------|
6. | 6 Friday 38049.16 37111.2 2.527444 119858.8 19795.47 139654.3 0 1739245 |
7. | 7 Tuesday 38152.32 37111.2 2.80542 119109.1 19496.31 138605.4 0 1605025 |
+---------------------------------------------------------------------------------------------------------------+
 As requested by @fillippone, I stratified data by specific years (2009 - 2020). Details:Monday: Summary for variables: feeperkb
by categories of: year
year | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2009 | 51.0 4950.3 33360.4 0.0 0.0 0.0 0.0 238095.0
2010 | 52.0 34904.5 114720.9 0.0 0.0 8211.5 0.0 653126.2
2011 | 52.0 514649.4 1262784.3 233010.2 142041.8 595944.6 24708.7 9225123.3
2012 | 53.0 179022.9 120559.2 152690.6 137667.1 175029.6 96503.1 870947.9
2013 | 52.0 150790.4 70376.0 153020.6 114558.2 174918.1 37592.8 498257.1
2014 | 52.0 33135.0 8558.4 29954.7 27128.6 36717.2 23751.9 64432.5
2015 | 52.0 31326.1 15170.5 28566.7 25248.5 33179.7 23250.8 133031.9
2016 | 52.0 52386.6 16033.0 50726.5 39774.5 60562.8 28054.2 96109.9
2017 | 52.0 180241.5 93641.3 152725.8 121587.0 202201.9 75191.4 528990.3
2018 | 53.0 43986.7 76488.3 22626.1 15208.9 28315.9 10945.8 391606.3
2019 | 52.0 31551.2 24647.7 22422.7 16064.8 37342.7 10473.2 131621.1
2020 | 20.0 23039.5 19878.1 13969.6 12855.1 27805.3 10461.7 93306.4
----------+--------------------------------------------------------------------------------
Total | 593.0 111365.9 401325.0 37557.2 18009.1 140753.8 0.0 9225123.3
-------------------------------------------------------------------------------------------
Tuesday Summary for variables: feeperkb
by categories of: year
year | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2009 | 51.0 27163.2 190251.5 0.0 0.0 0.0 0.0 1359064.7
2010 | 52.0 36361.9 126942.2 0.0 0.0 1347.8 0.0 664349.7
2011 | 52.0 336001.7 303561.4 216371.2 130483.8 520788.0 18727.9 1605024.8
2012 | 52.0 181725.2 105328.0 159116.7 133683.0 187035.7 101777.4 826886.6
2013 | 53.0 155542.8 92725.8 158850.1 114067.4 175743.3 40950.7 702333.1
2014 | 52.0 32295.5 8818.4 29382.5 27055.6 34595.3 23929.0 67830.4
2015 | 52.0 28688.8 3983.1 28478.0 25132.7 32047.0 22796.9 40503.3
2016 | 52.0 57169.0 29541.9 51534.9 39382.4 63220.8 29632.3 231537.4
2017 | 52.0 192130.5 104358.7 161890.0 116277.4 247427.9 70813.2 482196.3
2018 | 52.0 48955.6 87343.1 21424.5 16194.0 31960.9 11611.5 431956.1
2019 | 53.0 33237.1 24513.7 21238.7 16525.8 41632.0 8691.3 110994.1
2020 | 20.0 25283.7 24904.3 15019.1 14060.1 23449.1 12935.9 118484.2
----------+--------------------------------------------------------------------------------
Total | 593.0 100150.8 158071.5 38152.3 19496.3 138605.4 0.0 1605024.8
-------------------------------------------------------------------------------------------
Wednesday Summary for variables: feeperkb
by categories of: year
year | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2009 | 51.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2010 | 52.0 11677.9 31072.7 0.0 0.0 0.2 0.0 148318.8
2011 | 52.0 345898.9 339271.4 235424.2 139956.8 507037.1 10606.8 1935712.1
2012 | 52.0 162495.0 49637.9 152850.4 137417.6 173893.8 97582.9 343365.3
2013 | 52.0 173264.2 102866.7 169026.2 119091.9 186283.3 44876.7 684132.7
2014 | 53.0 33121.4 9195.0 29781.2 26979.5 36606.7 24040.2 72236.9
2015 | 52.0 28705.1 4479.9 27214.6 25292.9 31485.6 23171.0 42320.3
2016 | 52.0 53150.9 14081.0 53137.4 41509.2 62153.4 29793.3 90628.9
2017 | 52.0 195654.6 112334.8 159772.1 125666.4 244862.7 78410.2 625547.2
2018 | 52.0 52139.1 94496.5 22335.3 16411.3 30153.9 11059.8 448499.9
2019 | 52.0 34481.1 23772.4 23365.3 18116.7 45055.2 11462.5 103487.8
2020 | 21.0 28038.4 26805.8 18544.2 13994.9 28985.5 8737.1 125343.0
----------+--------------------------------------------------------------------------------
Total | 593.0 96682.2 152792.6 37311.1 19622.8 140122.4 0.0 1935712.1
-------------------------------------------------------------------------------------------
Thursday Summary for variables: feeperkb
by categories of: year
year | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2009 | 51.0 240.8 1719.4 0.0 0.0 0.0 0.0 12279.3
2010 | 52.0 13169.5 43415.6 0.0 0.0 0.0 0.0 241310.0
2011 | 52.0 363820.6 311723.5 245530.3 162098.1 525536.8 12562.5 1614434.0
2012 | 52.0 191894.8 129888.7 152932.8 130908.1 182110.7 109681.0 805762.0
2013 | 52.0 162010.1 81951.6 161381.1 113910.1 187210.9 44607.3 495504.9
2014 | 52.0 32800.1 8631.3 28975.5 26799.8 36254.9 24315.9 60081.2
2015 | 53.0 29011.0 4709.4 27604.2 25401.5 31488.4 23249.0 43112.7
2016 | 52.0 52823.4 14638.3 51567.6 41126.1 61675.4 30985.0 93517.2
2017 | 52.0 197985.0 125115.5 164563.4 115341.3 245580.5 74788.0 805217.0
2018 | 52.0 48757.4 85759.9 23553.5 16814.6 29984.9 11156.2 435074.6
2019 | 52.0 34768.6 26378.7 23742.8 17611.0 44549.2 10034.6 125018.8
2020 | 21.0 31079.3 29168.4 17614.9 14728.3 31110.3 9425.7 119124.5
----------+--------------------------------------------------------------------------------
Total | 593.0 100000.1 155034.9 37832.8 19532.9 137204.1 0.0 1614434.0
-------------------------------------------------------------------------------------------
Friday Summary for variables: feeperkb
by categories of: year
year | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2009 | 51.0 249.6 1782.3 0.0 0.0 0.0 0.0 12728.1
2010 | 53.0 10407.2 35737.5 0.0 0.0 0.0 0.0 237765.1
2011 | 52.0 323978.6 288721.0 199914.7 144542.6 501429.0 8743.7 1363952.1
2012 | 52.0 239621.5 282500.6 156698.2 134327.1 198446.6 108030.9 1739244.7
2013 | 52.0 153132.6 67294.1 155538.9 115835.0 180468.6 46422.6 379982.8
2014 | 52.0 33993.9 10648.4 30008.9 27327.5 36623.8 23615.4 81961.2
2015 | 52.0 31893.7 18130.9 28965.8 25591.4 33015.2 23819.8 156067.1
2016 | 53.0 53017.9 16679.6 53561.4 39157.5 60421.0 26762.0 103608.7
2017 | 52.0 201265.8 134357.6 167277.1 123086.4 235439.5 68692.6 908621.0
2018 | 52.0 48192.5 83010.9 23320.5 16717.7 31212.6 11494.1 459456.1
2019 | 52.0 34543.2 27468.5 23106.5 16874.5 42172.0 11232.5 135576.4
2020 | 20.0 28665.4 24055.8 16944.6 14609.3 38184.6 10340.2 99857.6
----------+--------------------------------------------------------------------------------
Total | 593.0 100188.7 165738.1 38049.2 19795.5 139654.3 0.0 1739244.7
-------------------------------------------------------------------------------------------
Saturday Summary for variables: feeperkb
by categories of: year
year | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2009 | 52.0 1965.1 14170.7 0.0 0.0 0.0 0.0 102186.5
2010 | 52.0 32092.7 125612.4 0.0 0.0 4466.9 0.0 790521.1
2011 | 53.0 317022.6 261008.8 197302.8 139154.7 492533.0 6495.2 964080.3
2012 | 52.0 166173.6 66467.2 147489.1 127647.4 173937.5 107258.2 442026.9
2013 | 52.0 147467.4 53945.4 149918.3 113866.7 176124.4 35432.9 277574.8
2014 | 52.0 32328.0 7143.1 29260.4 27339.0 35645.5 24155.8 57007.6
2015 | 52.0 30372.5 10512.1 27958.0 25225.3 32855.7 22015.5 94374.6
2016 | 53.0 50148.5 13575.6 49684.7 38064.4 57658.6 28823.1 86846.1
2017 | 52.0 186994.1 118988.2 146220.3 113944.3 217920.2 67630.7 722789.4
2018 | 52.0 41940.1 72920.2 20167.8 15559.9 28546.0 9917.0 389297.9
2019 | 52.0 26995.6 19331.8 18576.9 13499.9 32719.5 8725.6 83301.4
2020 | 20.0 20668.8 15182.3 13447.1 11746.9 27872.7 8472.0 65710.5
----------+--------------------------------------------------------------------------------
Total | 594.0 91788.8 135577.6 35897.1 16857.5 129571.5 0.0 964080.3
-------------------------------------------------------------------------------------------
Sunday Summary for variables: feeperkb
by categories of: year
year | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2009 | 51.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2010 | 52.0 55886.8 148737.9 0.0 0.0 654.3 0.0 800519.0
2011 | 52.0 439772.4 787280.4 200565.4 133085.2 625671.2 21181.0 5624557.7
2012 | 53.0 328402.8 1282878.3 140663.6 123587.4 163576.8 88269.0 9484216.2
2013 | 52.0 141031.5 49752.2 149606.5 115114.5 172138.3 35983.2 282832.6
2014 | 52.0 35656.5 31107.0 28378.2 26498.9 35867.7 22862.9 249820.1
2015 | 52.0 28472.1 5818.3 27330.6 24328.7 31335.8 21057.6 53612.1
2016 | 52.0 48522.6 13749.4 47761.4 36857.4 59168.6 27127.8 85031.1
2017 | 53.0 163036.1 111610.9 132054.8 97780.7 183671.3 60490.4 694572.0
2018 | 52.0 38893.2 68516.1 19472.9 15142.5 30898.4 10467.6 401735.9
2019 | 52.0 24335.9 16180.8 17025.1 13437.5 28488.2 10260.8 72749.0
2020 | 20.0 18574.4 14943.4 12402.5 10619.3 23487.8 8738.8 73272.0
----------+--------------------------------------------------------------------------------
Total | 593.0 115803.4 468940.0 34697.5 16324.6 128883.5 0.0 9484216.2
-------------------------------------------------------------------------------------------
- If we take the year 2018 as a reference year, and calculate the percent of changes in median fees between 2018 and 2020, the values are shown below.
- Monday, Sunday and Saturday are days of week that have most decreasing median fees.
- percent = (y2020 - y2018)/ y2018*100
- I dropped 2 years : 2009 and 2010 (because of their 0-values)
+---------------------------------------------------------------------------------------------------------+
| dofw y2011 y2012 y2013 y2014 y2015 y2016 y2017 y2018 y2019 y2020 percent |
|---------------------------------------------------------------------------------------------------------|
1. | Monday 233010 152691 153021 29955 28567 50727 152726 22626 22423 13970 -38.3 |
2. | Sunday 200565 140664 149607 28378 27331 47761 132055 19473 17025 12403 -36.3 |
3. | Saturday 197303 147489 149918 29260 27958 49685 146220 20168 18577 13447 -33.3 |
4. | Tuesday 216371 159117 158850 29383 28478 51535 161890 21425 21239 15019 -29.9 |
5. | Friday 199915 156698 155539 30009 28966 53561 167277 23321 23107 16945 -27.3 |
|---------------------------------------------------------------------------------------------------------|
6. | Thursday 245530 152933 161381 28976 27604 51568 164563 23554 23743 17615 -25.2 |
7. | Wednesday 235424 152850 169026 29781 27215 53137 159772 22335 23365 18544 -17 |
+---------------------------------------------------------------------------------------------------------+
Time-series plots:
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Mins ago, I played with the seclog dataset, and here you go with some disclosures on wokeup. I don't know when the woke-up indicator was integrated into seclog page but from the data, I guess it was integrated since 2018. Raw statistics:Notes:- I am lazy to replace days with zero observation (for all activity types: wokeup, password changed, password reset, etc.) so the stats for mean and p50 should be lower, in reality if I include all days with 0 wokeup case. Another reason is I pay my attention on spikes.
- The time-series plot's title is incorrect (I forgot to change the word "merits" to "woke-up")
The forum has around 200 woke up cases daily (somewhere around 200 because of the incomplete data because of my side when I played with data). Summary for variables: wokeup
by categories of: year (Year)
year | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2015 | 160.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2016 | 328.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2017 | 312.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2018 | 344.0 31.8 64.1 0.0 0.0 0.0 0.0 362.0
2019 | 365.0 258.6 458.8 200.0 11.0 274.0 1.0 5716.0
2020 | 144.0 261.8 229.9 216.0 192.5 243.0 9.0 2612.0
----------+--------------------------------------------------------------------------------
Total | 1653.0 86.5 255.5 0.0 0.0 154.0 0.0 5716.0
-------------------------------------------------------------------------------------------
There are 17 days with 1000+ accounts woke up, most of them occured in the year 2019. I guess those spikes come from Yobit/ Cryptotalk signature campaigns. +--------------------+
| date wokeup |
|--------------------|
462. | 28apr2019 3136 |
477. | 13may2019 5716 |
478. | 14may2019 2278 |
479. | 15may2019 1358 |
480. | 16may2019 1319 |
512. | 17jun2019 1747 |
513. | 18jun2019 1072 |
568. | 12aug2019 1378 |
569. | 13aug2019 1489 |
570. | 14aug2019 1247 |
636. | 19oct2019 3070 |
637. | 20oct2019 2291 |
638. | 21oct2019 1014 |
647. | 30oct2019 1652 |
649. | 01nov2019 1011 |
|--------------------|
746. | 06feb2020 2612 |
751. | 11feb2020 1020 |
+--------------------+
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Update 2020w20, 22may2020 02:50:10 (GMT time)* last 3 days belong to 2020w21.For all users:- Number of users who only earned at least 1 merit: 19431
- Number of users who only sent at least 1 merit: 7376
- Number of users who earned AND sent at least 1 merit: 14743
- Number of users who earned OR sent at least 1 merit: 41550
- Total Autobanned users: 141732
- Total Nuked users: 65507
- Total earned merits (for all): 592969
- Total sent merits (for all): 632067
For legit users only:- Total legit users: 12214
- Total earned merits: 557603
- Total sent merits: 603921
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | | 1-10 | | | 7522 | 61.6 | 35014 | 6.3 | | | 8655 | 70.9 | 30459 | 5.0 | | 11-100 | | | 3734 | 30.6 | 111501 | 20.0 | | | 2785 | 22.8 | 94293 | 15.6 | | 101-250 | | | 503 | 4.1 | 77431 | 13.9 | | | 462 | 3.8 | 72318 | 12.0 | | 251-500 | | | 209 | 1.7 | 70269 | 12.6 | | | 164 | 1.3 | 57199 | 9.5 | | 501-1000 | | | 156 | 1.3 | 110203 | 19.8 | | | 73 | 0.6 | 49982 | 8.3 | | 1001+ | | | 90 | 0.7 | 153185 | 27.5 | | | 75 | 0.6 | 299670 | 49.6 | | Total | | | 12214 | 100 | 557603 | 100 | | | 12214 | 100 | 603921 | 100 | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
- 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 | 7376 | 17.8 | | Earned only | 19431 | 46.8 | | Both | 14743 | 35.4 | | Total | 41550 | 100 | | _________________________ | ______________ | ______________ | | Account status (for legit only) | | | | _________________________ | ______________ | ______________ | | Legit | 12214 | 82.9 | | Autobanned | 2512 | 17.0 | | Nuked | 17 | 0.1 | | Total | 14743 | 100 | | _________________________ | ______________ | ______________ |
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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 582 2889 1362 |
2. | 2 o_e_l_e_o 1188543 393 2303 1444 |
3. | 3 suchmoon 234771 394 2341 1456 |
4. | 4 El duderino_ 1067333 308 2306 1475 |
5. | 5 DdmrDdmr 1582324 375 1985 1066 |
|------------------------------------------------------------------------------------|
6. | 6 theymos 35 946 2603 511 |
7. | 7 Last of the V8s 479624 241 2101 1409 |
8. | 8 fillippone 1852120 292 1838 910 |
9. | 9 mikeywith 2033515 245 1413 809 |
10. | 10 The Pharmacist 487418 315 1334 941 |
|------------------------------------------------------------------------------------|
11. | 11 achow101 290195 170 1168 477 |
12. | 12 nutildah 317618 292 1247 784 |
13. | 13 LFC_Bitcoin 379487 229 1628 1106 |
14. | 14 VB1001 1138727 191 1530 930 |
15. | 15 gmaxwell 11425 172 894 341 |
|------------------------------------------------------------------------------------|
16. | 16 HairyMaclairy 181806 156 1310 917 |
17. | 17 HCP 867786 225 1154 724 |
18. | 18 JayJuanGee 252510 215 1346 1079 |
19. | 19 iasenko 1291828 296 1015 453 |
20. | 20 xhomerx10 120694 214 1126 642 |
|------------------------------------------------------------------------------------|
21. | 21 TryNinja 557798 283 1021 709 |
22. | 22 pooya87 379147 236 1133 735 |
23. | 23 hilariousetc 397737 207 893 543 |
24. | 24 1miau 2143453 257 1328 616 |
25. | 25 gentlemand 155345 274 1041 793 |
|------------------------------------------------------------------------------------|
26. | 26 abhiseshakana 1878246 123 973 509 |
27. | 27 BobLawblaw 569455 140 1019 631 |
28. | 28 ETFbitcoin 359716 213 798 551 |
29. | 29 philipma1957 64507 203 733 580 |
30. | 30 bitmover 1554927 259 868 495 |
|------------------------------------------------------------------------------------|
31. | 31 marlboroza 787736 211 688 429 |
32. | 32 Steamtyme 1112531 194 739 409 |
33. | 33 qwk 24140 214 856 517 |
34. | 34 roycilik 1051955 152 814 331 |
35. | 35 witcher_sense 1433865 144 876 367 |
|------------------------------------------------------------------------------------|
36. | 36 jojo69 49008 151 1024 686 |
37. | 37 Goran_ 1039323 120 768 597 |
38. | 38 Vod 30747 302 763 421 |
39. | 39 Carlton Banks 64205 153 680 419 |
40. | 40 taikuri13 1855828 119 760 523 |
|------------------------------------------------------------------------------------|
41. | 41 Husna QA 1827294 134 741 348 |
42. | 42 hugeblack 1059082 229 840 495 |
43. | 43 mu_enrico 1574226 129 728 354 |
44. | 44 krogothmanhattan 1000199 224 667 282 |
45. | 45 morvillz7z 1825672 153 658 318 |
|------------------------------------------------------------------------------------|
46. | 46 DireWolfM14 2003859 212 839 466 |
47. | 47 joniboni 1275282 197 772 461 |
48. | 48 Veleor 1177936 164 737 416 |
49. | 49 mk4 886521 262 768 506 |
50. | 50 mocacino 405464 187 772 407 |
|------------------------------------------------------------------------------------|
51. | 51 DarkStar_ 507936 287 753 408 |
52. | 52 Coolcryptovator 1980983 269 779 365 |
53. | 53 yogg 140827 136 582 279 |
54. | 54 Jet Cash 698159 271 823 558 |
55. | 55 minerjones 346731 113 435 289 |
|------------------------------------------------------------------------------------|
56. | 56 Hhampuz 881377 323 875 385 |
57. | 57 tvplus006 1311641 234 806 277 |
58. | 58 bob123 579628 173 915 562 |
59. | 59 mindrust 176777 198 717 491 |
60. | 60 BitCryptex 1169179 152 681 345 |
|------------------------------------------------------------------------------------|
61. | 61 nc50lc 1237156 172 734 392 |
62. | 62 stompix 164749 215 604 451 |
63. | 63 Lafu 805820 159 665 394 |
64. | 64 OmegaStarScream 375981 212 624 385 |
65. | 65 infofront 41175 141 708 426 |
|------------------------------------------------------------------------------------|
66. | 66 coinlocket$ 1339716 193 610 335 |
67. | 67 Plutosky 1237522 55 640 350 |
68. | 68 asche 1580039 133 680 422 |
69. | 69 Coding Enthusiast 879277 105 553 177 |
70. | 70 xtraelv 897509 221 729 334 |
|------------------------------------------------------------------------------------|
71. | 71 tranthidung 1292764 246 826 344 |
72. | 72 Lauda 101872 242 770 514 |
73. | 73 Toxic2040 239406 124 884 615 |
74. | 74 LeGaulois 507856 210 535 331 |
75. | 75 Xal0lex 1068464 123 565 318 |
|------------------------------------------------------------------------------------|
76. | 76 yahoo62278 355846 374 775 314 |
77. | 77 mole0815 1424178 124 838 590 |
78. | 78 CryptopreneurBrainboss 1052091 228 659 324 |
79. | 79 satoshi 3 261 363 64 |
80. | 80 Welsh 84521 186 518 266 |
|------------------------------------------------------------------------------------|
81. | 81 Foxpup 55384 148 424 224 |
82. | 82 aundroid 1015954 111 676 394 |
83. | 83 SaltySpitoon 38894 105 374 220 |
84. | 84 Blacknavy 1018510 155 530 266 |
85. | 85 pandukelana2712 1304130 155 534 216 |
|------------------------------------------------------------------------------------|
86. | 86 PHI16168 1071136 116 406 170 |
87. | 87 wwzsocki 131333 159 606 323 |
88. | 88 Piggy 188198 191 448 147 |
89. | 89 madnessteat 1894120 120 592 287 |
90. | 90 lovesmayfamilis 1982152 109 839 353 |
|------------------------------------------------------------------------------------|
91. | 91 TMAN 98986 214 604 365 |
92. | 92 Kalemder 487377 143 592 256 |
93. | 93 tyKiwanuka 1025255 116 501 293 |
94. | 94 eddie13 580327 148 457 271 |
95. | 95 nullius 976210 221 707 297 |
|------------------------------------------------------------------------------------|
96. | 96 Corrosive 2005913 96 272 79 |
97. | 97 theyoungmillionaire 1180530 151 369 117 |
98. | 98 Rikafip 2658890 173 649 258 |
99. | 99 masulum 1283017 133 590 220 |
100. | 100 Ratimov 2627711 128 734 408 |
+------------------------------------------------------------------------------------+
|
|
|
|
Update 2020w20ABSTRACT- Period: 2018w4 - 2020w21 22may2020 02:50:10 (GMT time).
- Observed weeks: 121
- Incomple weeks: 2018w4, 2020w21.
- The last merit transaction is at 22may2020 02:50:10 (GMT time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+
| rank_total username userid total |
|-------------------------------------------------------|
1. | 1 theymos 35 6809 |
2. | 2 LoyceV 459836 5315 |
3. | 3 o_e_l_e_o 1188543 4155 |
4. | 4 suchmoon 234771 4154 |
5. | 5 DdmrDdmr 1582324 3775 |
|-------------------------------------------------------|
6. | 6 El duderino_ 1067333 3580 |
7. | 7 fillippone 1852120 3222 |
8. | 8 Last of the V8s 479624 3076 |
9. | 9 gmaxwell 11425 2802 |
10. | 10 The Pharmacist 487418 2507 |
|-------------------------------------------------------|
11. | 11 mikeywith 2033515 2428 |
12. | 12 satoshi 3 2307 |
13. | 13 achow101 290195 2271 |
14. | 14 nutildah 317618 2236 |
15. | 15 LFC_Bitcoin 379487 2233 |
|-------------------------------------------------------|
16. | 16 1miau 2143453 2154 |
17. | 17 VB1001 1138727 2043 |
18. | 18 HCP 867786 1998 |
19. | 19 xhomerx10 120694 1951 |
20. | 20 iasenko 1291828 1947 |
|-------------------------------------------------------|
21. | 21 hilariousetc 397737 1919 |
22. | 22 abhiseshakana 1878246 1808 |
23. | 23 Hhampuz 881377 1804 |
24. | 24 JayJuanGee 252510 1771 |
25. | 25 pooya87 379147 1709 |
|-------------------------------------------------------|
26. | 26 DireWolfM14 2003859 1702 |
27. | 27 HairyMaclairy 181806 1684 |
28. | 28 TryNinja 557798 1669 |
29. | 29 Lauda 101872 1635 |
30. | 30 Steamtyme 1112531 1617 |
|-------------------------------------------------------|
31. | 31 nullius 976210 1600 |
32. | 32 xtraelv 897509 1577 |
33. | 33 qwk 24140 1565 |
34. | 34 Vod 30747 1553 |
35. | 35 gentlemand 155345 1517 |
|-------------------------------------------------------|
36. | 36 bob123 579628 1510 |
37. | 37 krogothmanhattan 1000199 1494 |
38. | 38 marlboroza 787736 1482 |
39. | 39 tranthidung 1292764 1469 |
40. | 40 roycilik 1051955 1445 |
|-------------------------------------------------------|
41. | 41 yogg 140827 1444 |
42. | 42 jojo69 49008 1424 |
43. | 43 Jet Cash 698159 1414 |
44. | 44 witcher_sense 1433865 1408 |
45. | 45 Veleor 1177936 1402 |
|-------------------------------------------------------|
46. | 46 Toxic2040 239406 1383 |
47. | 47 joniboni 1275282 1376 |
48. | 48 yahoo62278 355846 1370 |
49. | 49 BitCryptex 1169179 1365 |
50. | 50 Husna QA 1827294 1358 |
|-------------------------------------------------------|
51. | 51 bitmover 1554927 1355 |
52. | 52 ETFbitcoin 359716 1353 |
53. | 53 DarkStar_ 507936 1345 |
54. | 54 mocacino 405464 1344 |
55. | 55 BobLawblaw 569455 1335 |
|-------------------------------------------------------|
56. | 56 philipma1957 64507 1332 |
57. | 57 Ratimov 2627711 1318 |
58. | 58 mu_enrico 1574226 1316 |
59. | 59 TMAN 98986 1303 |
60. | 60 Coding Enthusiast 879277 1290 |
|-------------------------------------------------------|
61. | 61 morvillz7z 1825672 1288 |
62. | 62 hugeblack 1059082 1276 |
63. | 63 coinlocket$ 1339716 1247 |
64. | 64 taikuri13 1855828 1245 |
65. | 65 Coolcryptovator 1980983 1229 |
|-------------------------------------------------------|
66. | 66 nc50lc 1237156 1225 |
67. | 67 mole0815 1424178 1223 |
68. | 68 Carlton Banks 64205 1222 |
69. | 69 tvplus006 1311641 1196 |
70. | 70 CryptopreneurBrainboss 1052091 1172 |
|-------------------------------------------------------|
71. | 71 lovesmayfamilis 1982152 1160 |
72. | 72 Piggy 188198 1158 |
73. | 73 minerjones 346731 1139 |
74. | 74 Kalemder 487377 1120 |
75. | 75 SaltySpitoon 38894 1109 |
|-------------------------------------------------------|
76. | 76 Goran_ 1039323 1104 |
77. | 77 mk4 886521 1091 |
78. | 78 asche 1580039 1090 |
79. | 79 PHI16168 1071136 1089 |
80. | 80 Xal0lex 1068464 1081 |
|-------------------------------------------------------|
81. | 81 aundroid 1015954 1076 |
82. | 82 Plutosky 1237522 1053 |
83. | 83 masulum 1283017 1040 |
84. | 84 Corrosive 2005913 1025 |
85. | 85 Welsh 84521 1024 |
|-------------------------------------------------------|
86. | 86 stompix 164749 1024 |
87. | 87 Rikafip 2658890 1023 |
88. | 88 madnessteat 1894120 1014 |
89. | 89 theyoungmillionaire 1180530 1013 |
90. | 90 tyKiwanuka 1025255 1004 |
|-------------------------------------------------------|
91. | 91 infofront 41175 1004 |
92. | 92 wwzsocki 131333 995 |
93. | 93 OmegaStarScream 375981 990 |
94. | 94 mindrust 176777 987 |
95. | 95 Lafu 805820 986 |
|-------------------------------------------------------|
96. | 96 Foxpup 55384 980 |
97. | 97 pandukelana2712 1304130 975 |
98. | 98 eddie13 580327 971 |
99. | 99 LeGaulois 507856 967 |
100. | 100 Blacknavy 1018510 955 |
+-------------------------------------------------------+
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 39.5 36 23 59 2 115 |
2. | 2 o_e_l_e_o 1188543 32.5 30 16 46 0 101 |
3. | 3 suchmoon 234771 30 30 17 47 0 148 |
4. | 4 El duderino_ 1067333 28 23 17 40 0 100 |
5. | 5 DdmrDdmr 1582324 25 26 15 41 0 106 |
|----------------------------------------------------------------------------------------|
6. | 6 theymos 35 25 51 10 61 0 1328 |
7. | 7 Last of the V8s 479624 23 24 12 36 0 96 |
8. | 8 fillippone 1852120 17 43 0 43 0 141 |
9. | 9 mikeywith 2033515 16.5 31 0 31 0 92 |
10. | 10 The Pharmacist 487418 16 20 9 29 0 93 |
|----------------------------------------------------------------------------------------|
11. | 11 achow101 290195 15 19 7 26 0 77 |
12. | 12 nutildah 317618 15 25 1 26 0 94 |
13. | 13 LFC_Bitcoin 379487 14.5 20 6 26 0 73 |
14. | 14 VB1001 1138727 14.5 27 0 27 0 98 |
15. | 15 gmaxwell 11425 13 26 4 30 0 178 |
|----------------------------------------------------------------------------------------|
16. | 16 HairyMaclairy 181806 12.5 12 6 18 0 56 |
17. | 17 HCP 867786 12.5 18 5 23 0 69 |
18. | 18 JayJuanGee 252510 12 14 6 20 0 54 |
19. | 19 iasenko 1291828 12 20 6 26 0 52 |
20. | 20 xhomerx10 120694 11.5 15 5 20 0 121 |
|----------------------------------------------------------------------------------------|
21. | 21 TryNinja 557798 11 11 6 17 0 173 |
22. | 22 pooya87 379147 11 15 6 21 0 48 |
23. | 23 hilariousetc 397737 11 20 3 23 0 90 |
24. | 24 1miau 2143453 11 24 2 26 0 100 |
25. | 25 gentlemand 155345 10 13 5 18 1 74 |
|----------------------------------------------------------------------------------------|
26. | 26 abhiseshakana 1878246 10 18 3 21 0 73 |
27. | 27 BobLawblaw 569455 9 10 5 15 0 55 |
28. | 28 ETFbitcoin 359716 9 10 4 14 0 50 |
29. | 29 philipma1957 64507 9 11 5 16 0 38 |
30. | 30 bitmover 1554927 9 11 4 15 0 48 |
|----------------------------------------------------------------------------------------|
31. | 31 marlboroza 787736 9 12 3 15 0 79 |
32. | 32 Steamtyme 1112531 9 15 3 18 0 115 |
33. | 33 qwk 24140 9 15 3 18 0 88 |
34. | 34 roycilik 1051955 8.5 15 3 18 0 48 |
35. | 35 witcher_sense 1433865 8.5 19 0 19 0 76 |
|----------------------------------------------------------------------------------------|
36. | 36 jojo69 49008 8 10 4 14 0 102 |
37. | 37 Goran_ 1039323 8 10 3 13 0 36 |
38. | 38 Vod 30747 8 11 3 14 0 158 |
39. | 39 Carlton Banks 64205 8 11 3 14 0 76 |
40. | 40 taikuri13 1855828 8 12 4 16 0 36 |
|----------------------------------------------------------------------------------------|
41. | 41 Husna QA 1827294 8 12 3 15 0 62 |
42. | 42 hugeblack 1059082 8 12 2 14 0 62 |
43. | 43 mu_enrico 1574226 8 13 2 15 0 78 |
44. | 44 krogothmanhattan 1000199 8 14 3 17 0 77 |
45. | 45 morvillz7z 1825672 8 14 1 15 0 58 |
|----------------------------------------------------------------------------------------|
46. | 46 DireWolfM14 2003859 8 19 1 20 0 84 |
47. | 47 joniboni 1275282 7.5 12 4 16 0 54 |
48. | 48 Veleor 1177936 7.5 17 0 17 0 90 |
49. | 49 mk4 886521 7 9 3 12 0 52 |
50. | 50 mocacino 405464 7 11 4 15 0 50 |
|----------------------------------------------------------------------------------------|
51. | 51 DarkStar_ 507936 7 12 3 15 0 78 |
52. | 52 Coolcryptovator 1980983 7 12 2 14 0 64 |
53. | 53 yogg 140827 7 12 2 14 0 91 |
54. | 54 Jet Cash 698159 7 13 3 16 0 65 |
55. | 55 minerjones 346731 7 13 1 14 0 67 |
|----------------------------------------------------------------------------------------|
56. | 56 Hhampuz 881377 7 16 3 19 0 92 |
57. | 57 tvplus006 1311641 7 16 0 16 0 42 |
58. | 58 bob123 579628 7 17 2 19 0 68 |
59. | 59 mindrust 176777 6.5 8 2 10 0 55 |
60. | 60 BitCryptex 1169179 6.5 12 3 15 0 126 |
|----------------------------------------------------------------------------------------|
61. | 61 nc50lc 1237156 6.5 12 1 13 0 68 |
62. | 62 stompix 164749 6 8 3 11 0 62 |
63. | 63 Lafu 805820 6 9 2 11 0 41 |
64. | 64 OmegaStarScream 375981 6 9 2 11 0 43 |
65. | 65 infofront 41175 6 10 2 12 0 74 |
|----------------------------------------------------------------------------------------|
66. | 66 coinlocket$ 1339716 6 11 2 13 0 98 |
67. | 67 Plutosky 1237522 6 11 2 13 0 43 |
68. | 68 asche 1580039 6 11 1 12 0 50 |
69. | 69 Coding Enthusiast 879277 6 13 0 13 0 116 |
70. | 70 xtraelv 897509 6 16 2 18 0 104 |
|----------------------------------------------------------------------------------------|
71. | 71 tranthidung 1292764 6 16 1 17 0 98 |
72. | 72 Lauda 101872 5.5 14 2 16 0 238 |
73. | 73 Toxic2040 239406 5.5 20 0 20 0 105 |
74. | 74 LeGaulois 507856 5 8 3 11 0 64 |
75. | 75 Xal0lex 1068464 5 10 2 12 0 116 |
|----------------------------------------------------------------------------------------|
76. | 76 yahoo62278 355846 5 11 2 13 0 130 |
77. | 77 mole0815 1424178 5 11 2 13 0 73 |
78. | 78 CryptopreneurBrainboss 1052091 5 15 0 15 0 81 |
79. | 79 satoshi 3 4.5 20 1 21 0 482 |
80. | 80 Welsh 84521 4 8 1 9 0 103 |
|----------------------------------------------------------------------------------------|
81. | 81 Foxpup 55384 4 9 1 10 0 88 |
82. | 82 aundroid 1015954 4 11 0 11 0 64 |
83. | 83 SaltySpitoon 38894 3.5 12 0 12 0 94 |
84. | 84 Blacknavy 1018510 3 8 0 8 0 121 |
85. | 85 pandukelana2712 1304130 3 9 0 9 0 94 |
|----------------------------------------------------------------------------------------|
86. | 86 PHI16168 1071136 3 10 0 10 0 85 |
87. | 87 wwzsocki 131333 3 11 0 11 0 70 |
88. | 88 Piggy 188198 3 14 0 14 0 85 |
89. | 89 madnessteat 1894120 3 14 0 14 0 54 |
90. | 90 lovesmayfamilis 1982152 3 16 0 16 0 45 |
|----------------------------------------------------------------------------------------|
91. | 91 TMAN 98986 2 10 0 10 0 275 |
92. | 92 Kalemder 487377 1 7 0 7 0 161 |
93. | 93 tyKiwanuka 1025255 1 9 0 9 0 107 |
94. | 94 eddie13 580327 1 10 0 10 0 122 |
95. | 95 nullius 976210 0 6 0 6 0 180 |
|----------------------------------------------------------------------------------------|
96. | 96 Corrosive 2005913 0 6 0 6 0 172 |
97. | 97 theyoungmillionaire 1180530 0 11 0 11 0 104 |
98. | 98 Rikafip 2658890 0 12 0 12 0 100 |
99. | 99 masulum 1283017 0 13 0 13 0 61 |
100. | 100 Ratimov 2627711 0 17 0 17 0 93 |
+----------------------------------------------------------------------------------------+
|
|
|
|
Converted dataset: - In 2020 at 22may2020 02:50:10 (GMT time)
- The last one, with dayid = 850 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 65 Friday 2020w21 2020m5 2020 |
+-----------------------------------------------------------------+
|
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Thank you so much for your time to translate it into Turkish and help to spread it out. It means my thread is helpful for the forum community, generally. I am happy with the recognition. Stay safe, as always, and keep up your good works. Reminder: The OP might be updated over time so make sure that you will keep your Turkish thread will be updated too. Example: Today, I updated OP with LoyceV's seclog. |
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I suggested to avoid using list block in thread titles for a long time ago. Small reminder for you when name your topic titles and tag with LIST block. It is definitely not a big issue but it is inconvenient for sure. So if you can, please avoid using list block in your thread titles. Today, I decided to add it into the Bitcointalk posting etiquette, as the last point. |
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The legendary Athletic Bilbao’s striker, Aritz Aduriz, said goodbye to football yesterday Enjoy the retirement man, we will miss your fantastic goals  Aduriz is one of the last players of the latest generation of football players, before the era of Messi and Ronaldo (Portugal), not Ronaldo de Lima. He is not the greatest or one of the greatest players in his era but he has one of the longest career. It's amazing. There are many great players, legends said goodbye to football. In Spain, we have Torres, Aduriz. In England we have Lampard, Gerrad, Beckham, Ferdinand, etc. In Italy, we have F. Totti, Del Piero, Canavaro, Maldini, Inzaghi, Vieri, Pirlo, etc. In addition, there are Ballack, Zidane, Ronaldo de Lima, Rivaldo, etc. They all together built up one of the greatest period in my life time so far with football. Nowadays, football matches are easier to watch (back in about previous 20 years, it is so difficult to watch European leagues' matches in my nation). But I still have feelings that I would like to come back to that period. Many great players, and players themselves did not play for money, and they had great pride for the club they were grown by or served for. Today, players have much higher salary, and their transfer set up new records easily but they don't actually have pride for the club they are serving for. |
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