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ABSTRACT
Intra-day merits:
Notes:
- The part of the asbstract describes figures of intraday merits over the period from 19/2/2018 to 11/11/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 11/11/2019 truncated as well due to incomplete week (the 2019w46);
- Statistics presented in the post are for truncated dataset
(1) Potential outliers are days that have intraday total merits beyond 212 or 1060;
(2) Median of intraday merits over the period is 627;
(3) 50% of observed days have their intra-day merits range from 530 to 742 (the interquartile range);
(4) Friday [in GTM time] is the day over weeks has lowest intraday merits in terms of both median and mean, at 586, and 610, respectively.
(5) Monday [in GTM time] is the day over weeks has highest intraday merits in terms of median and mean, at 675, and 726.
(6) There are 36 potential outliers (beyond 207 or 1063) in total, and only seven of them occured in 2019, 04/01/2019 (1083) , 09/1/2019 (1162), 14/01/2019 (1128) , 27/3/2019 (1250), 13/5/2019 (1151), 11/6/2019 (1188), and 21/10/2019 (1082).
(7) Minimum and maximum of intraday merits (full dataset) are 295, and 13018, on 03/8/2019 and 24/1/2018, respectively.
* The day with id = 659, on 13/11/2019 at 1476 merits changed hands is an outlier but it belongs to the incomplete week (2019w46).
Intra-week merits:
Notes:
The part of the abstract use full dataset, only dropped last two days due to incomple week (2019w46).
(1) The median of intra-week merits is 4521;
(2) 50% of observed weeks (94 weeks in total), have total merits in the range from 4043 to 4965 (the interquartile range of intra-week merits).
(3) Minimum and maximum of intra-week merits are 3072 and 30960, in 2018w35, and 2018w4, respectively;
(4) Thirteen potential outliers [beyond 2660 or 6348], only one of them occurred in the year 2019, in 2019w2 at 6632.
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Intra-week merits (from 24/1/2018 to 11/11/2019)Last two days dropped due to incomplete weeks (2019w46)Converted dataset:. list merit week
+-----------------+
| merit week |
|-----------------|
1. | 30960 2018w4 |
2. | 19979 2018w5 |
3. | 13313 2018w6 |
4. | 11745 2018w7 |
5. | 8767 2018w8 |
|-----------------|
6. | 8833 2018w9 |
7. | 7261 2018w10 |
8. | 7317 2018w11 |
9. | 6952 2018w12 |
10. | 6744 2018w13 |
|-----------------|
11. | 6423 2018w14 |
12. | 5494 2018w15 |
13. | 4742 2018w16 |
14. | 4612 2018w17 |
15. | 4965 2018w18 |
|-----------------|
16. | 4766 2018w19 |
17. | 4353 2018w20 |
18. | 3864 2018w21 |
19. | 4194 2018w22 |
20. | 4538 2018w23 |
|-----------------|
21. | 3839 2018w24 |
22. | 4929 2018w25 |
23. | 4465 2018w26 |
24. | 4278 2018w27 |
25. | 4247 2018w28 |
|-----------------|
26. | 4167 2018w29 |
27. | 3661 2018w30 |
28. | 3863 2018w31 |
29. | 4011 2018w32 |
30. | 3631 2018w33 |
|-----------------|
31. | 3805 2018w34 |
32. | 3072 2018w35 |
33. | 3590 2018w36 |
34. | 5644 2018w37 |
35. | 7837 2018w38 |
|-----------------|
36. | 4395 2018w39 |
37. | 4310 2018w40 |
38. | 3816 2018w41 |
39. | 4829 2018w42 |
40. | 3953 2018w43 |
|-----------------|
41. | 3347 2018w44 |
42. | 4525 2018w45 |
43. | 3747 2018w46 |
44. | 4575 2018w47 |
45. | 3765 2018w48 |
|-----------------|
46. | 3571 2018w49 |
47. | 3805 2018w50 |
48. | 3769 2018w51 |
49. | 3338 2018w52 |
50. | 4803 2019w1 |
|-----------------|
51. | 6632 2019w2 |
52. | 5317 2019w3 |
53. | 4667 2019w4 |
54. | 4491 2019w5 |
55. | 4332 2019w6 |
|-----------------|
56. | 4221 2019w7 |
57. | 4521 2019w8 |
58. | 4638 2019w9 |
59. | 4913 2019w10 |
60. | 4326 2019w11 |
|-----------------|
61. | 4609 2019w12 |
62. | 6130 2019w13 |
63. | 4526 2019w14 |
64. | 5271 2019w15 |
65. | 4688 2019w16 |
|-----------------|
66. | 4448 2019w17 |
67. | 4764 2019w18 |
68. | 5454 2019w19 |
69. | 5214 2019w20 |
70. | 4580 2019w21 |
|-----------------|
71. | 4445 2019w22 |
72. | 4687 2019w23 |
73. | 5354 2019w24 |
74. | 4726 2019w25 |
75. | 4367 2019w26 |
|-----------------|
76. | 4225 2019w27 |
77. | 4119 2019w28 |
78. | 4277 2019w29 |
79. | 4176 2019w30 |
80. | 3549 2019w31 |
|-----------------|
81. | 3207 2019w32 |
82. | 4236 2019w33 |
83. | 3622 2019w34 |
84. | 3540 2019w35 |
85. | 3809 2019w36 |
|-----------------|
86. | 4043 2019w37 |
87. | 4520 2019w38 |
88. | 4318 2019w39 |
89. | 4357 2019w40 |
90. | 4565 2019w41 |
|-----------------|
91. | 5542 2019w42 |
92. | 4975 2019w43 |
93. | 4730 2019w44 |
94. | 4735 2019w45 |
+-----------------+
- 50% of observed weeks ( 94 weeks) have total intra-week merits above 4521, whilst the rest 50% of them have total intra-week merits below 4521. 4521 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4043 to 4965 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3072 - 30960. . tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 94.0 5290.2 3476.3 4520.5 4043.0 4965.0 3072.0 30960.0
----------------------------------------------------------------------------------------------
. di 4965-4043
922
. di 922*1.5
1383
. di 4965+1383
6348
. di 4043-1383
2660
It means that potential outliers are weeks that have intra-week merits beyond 2660 or 6348. How many weeks are potential outliers? . count if (merit >= 6348 | merit < 2660) & merit != .
13
weeks are outliers, in total. List of those thirteen weeks: . list merit week if merit >= 6348 | merit <= 2660
+-----------------+
| merit week |
|-----------------|
1. | 30960 2018w4 |
2. | 19979 2018w5 |
3. | 13313 2018w6 |
4. | 11745 2018w7 |
5. | 8767 2018w8 |
|-----------------|
6. | 8833 2018w9 |
7. | 7261 2018w10 |
8. | 7317 2018w11 |
9. | 6952 2018w12 |
10. | 6744 2018w13 |
|-----------------|
11. | 6423 2018w14 |
35. | 7837 2018w38 |
51. | 6632 2019w2 |
+-----------------+
Most of them occured in the year 2018, and there is only one outlier week occured in 2019, in 2019w2 at 6632. 
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Medians and means of intra-day merits over days of weeks.Colors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Monday, Wednesday, and Thursday at 675, 654, and 652, respectively; whislt the lowest days are Friday, Saturday, and Sunday at 586, 591, and 614, respectively. - In means, the highest days are Monday, Wednesday, and Tuesday, at 726, 697, and 688, respectively; whilst the lowest days are Friday, Saturday, and Sunday, at 610, 612, and 665, respectively. - Monday has still been the highest day in terms of median and mean of intra-day merits over weeks, in contrast Friday is the lowest days in terms of median, and mean of intra-day merits over weeks. Calendar day is in GMT time.To take away all doubt: the first Merit was this one: 1516831941 1 2818066.msg28853325 35 877396 Use EpochConverter to convert 1516831941 (Unix Time) to GMT: Wednesday 24 January 2018 22:12:21. . tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f) by(dofw)
Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 90.0 664.5 266.9 613.5 512.0 729.0 394.0 2464.0
Monday | 91.0 725.3 253.1 675.0 566.0 797.0 313.0 1863.0
Tuesday | 90.0 687.1 194.1 641.0 586.0 737.0 384.0 1327.0
Wednesday | 90.0 696.4 196.1 654.0 559.0 762.0 394.0 1271.0
Thursday | 90.0 678.1 188.0 651.5 541.0 767.0 348.0 1335.0
Friday | 90.0 609.6 185.8 585.5 500.0 676.0 349.0 1706.0
Saturday | 90.0 611.9 193.6 590.5 478.0 689.0 295.0 1410.0
----------+--------------------------------------------------------------------------------
Total | 631.0 667.6 216.2 627.0 530.0 742.0 295.0 2464.0
-------------------------------------------------------------------------------------------
Outliers displayed as red circles. Outliers non-displayed.
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During the period from 24/1/2018 to 11/11/2019 (last two days dropped due to incomplete week), the minimum and maximum of intra-day merit are 295 and 13018, on 03/8/2019 and 24/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: . list merit id date dofw day month2 year week month
+-------------------------------------------------------------------------------+
| merit id date dofw day month2 year week month |
|-------------------------------------------------------------------------------|
1. | 13018 1 24jan2018 Wednesday 24 1 2018 2018w4 2018m1 |
2. | 6762 2 25jan2018 Thursday 25 1 2018 2018w4 2018m1 |
3. | 4500 3 26jan2018 Friday 26 1 2018 2018w4 2018m1 |
4. | 4193 7 30jan2018 Tuesday 30 1 2018 2018w5 2018m1 |
5. | 3800 6 29jan2018 Monday 29 1 2018 2018w5 2018m1 |
|-------------------------------------------------------------------------------|
6. | 3490 4 27jan2018 Saturday 27 1 2018 2018w4 2018m1 |
7. | 3190 5 28jan2018 Sunday 28 1 2018 2018w4 2018m1 |
8. | 2821 8 31jan2018 Wednesday 31 1 2018 2018w5 2018m1 |
9. | 2569 10 02feb2018 Friday 2 2 2018 2018w5 2018m2 |
10. | 2546 9 01feb2018 Thursday 1 2 2018 2018w5 2018m2 |
|-------------------------------------------------------------------------------|
11. | 2514 22 14feb2018 Wednesday 14 2 2018 2018w7 2018m2 |
12. | 2464 236 16sep2018 Sunday 16 9 2018 2018w37 2018m9 |
13. | 2310 14 06feb2018 Tuesday 6 2 2018 2018w6 2018m2 |
14. | 2182 12 04feb2018 Sunday 4 2 2018 2018w5 2018m2 |
15. | 2143 16 08feb2018 Thursday 8 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
16. | 2142 15 07feb2018 Wednesday 7 2 2018 2018w6 2018m2 |
17. | 2078 13 05feb2018 Monday 5 2 2018 2018w6 2018m2 |
18. | 1992 23 15feb2018 Thursday 15 2 2018 2018w7 2018m2 |
19. | 1868 11 03feb2018 Saturday 3 2 2018 2018w5 2018m2 |
20. | 1863 237 17sep2018 Monday 17 9 2018 2018w38 2018m9 |
|-------------------------------------------------------------------------------|
21. | 1748 18 10feb2018 Saturday 10 2 2018 2018w6 2018m2 |
22. | 1706 38 02mar2018 Friday 2 3 2018 2018w9 2018m3 |
23. | 1618 25 17feb2018 Saturday 17 2 2018 2018w7 2018m2 |
24. | 1580 21 13feb2018 Tuesday 13 2 2018 2018w7 2018m2 |
25. | 1449 17 09feb2018 Friday 9 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
26. | 1443 19 11feb2018 Sunday 11 2 2018 2018w6 2018m2 |
27. | 1416 24 16feb2018 Friday 16 2 2018 2018w7 2018m2 |
28. | 1410 32 24feb2018 Saturday 24 2 2018 2018w8 2018m2 |
29. | 1404 27 19feb2018 Monday 19 2 2018 2018w8 2018m2 |
30. | 1392 34 26feb2018 Monday 26 2 2018 2018w9 2018m2 |
|-------------------------------------------------------------------------------|
31. | 1355 48 12mar2018 Monday 12 3 2018 2018w11 2018m3 |
32. | 1335 37 01mar2018 Thursday 1 3 2018 2018w9 2018m3 |
33. | 1332 20 12feb2018 Monday 12 2 2018 2018w7 2018m2 |
34. | 1327 35 27feb2018 Tuesday 27 2 2018 2018w9 2018m2 |
35. | 1324 56 20mar2018 Tuesday 20 3 2018 2018w12 2018m3 |
|-------------------------------------------------------------------------------|
36. | 1295 238 18sep2018 Tuesday 18 9 2018 2018w38 2018m9 |
37. | 1293 26 18feb2018 Sunday 18 2 2018 2018w7 2018m2 |
38. | 1280 30 22feb2018 Thursday 22 2 2018 2018w8 2018m2 |
39. | 1271 239 19sep2018 Wednesday 19 9 2018 2018w38 2018m9 |
40. | 1268 29 21feb2018 Wednesday 21 2 2018 2018w8 2018m2 |
|-------------------------------------------------------------------------------|
41. | 1258 68 01apr2018 Sunday 1 4 2018 2018w13 2018m4 |
42. | 1250 428 27mar2019 Wednesday 27 3 2019 2019w13 2019m3 |
43. | 1246 41 05mar2018 Monday 5 3 2018 2018w10 2018m3 |
44. | 1229 57 21mar2018 Wednesday 21 3 2018 2018w12 2018m3 |
45. | 1188 504 11jun2019 Tuesday 11 6 2019 2019w24 2019m6 |
|-------------------------------------------------------------------------------|
46. | 1187 33 25feb2018 Sunday 25 2 2018 2018w8 2018m2 |
47. | 1170 28 20feb2018 Tuesday 20 2 2018 2018w8 2018m2 |
48. | 1162 351 09jan2019 Wednesday 9 1 2019 2019w2 2019m1 |
49. | 1160 50 14mar2018 Wednesday 14 3 2018 2018w11 2018m3 |
50. | 1151 475 13may2019 Monday 13 5 2019 2019w19 2019m5 |
|-------------------------------------------------------------------------------|
List of the top 50-lowest days in terms of intra-day merits: . list merit id date dofw day month2 year week month
+-------------------------------------------------------------------------------+
| merit id date dofw day month2 year week month |
|-------------------------------------------------------------------------------|
1. | 295 557 03aug2019 Saturday 3 8 2019 2019w31 2019m8 |
2. | 313 335 24dec2018 Monday 24 12 2018 2018w52 2018m12 |
3. | 317 333 22dec2018 Saturday 22 12 2018 2018w51 2018m12 |
4. | 328 564 10aug2019 Saturday 10 8 2019 2019w32 2019m8 |
5. | 344 340 29dec2018 Saturday 29 12 2018 2018w52 2018m12 |
|-------------------------------------------------------------------------------|
6. | 348 298 17nov2018 Saturday 17 11 2018 2018w46 2018m11 |
7. | 348 338 27dec2018 Thursday 27 12 2018 2018w52 2018m12 |
8. | 349 304 23nov2018 Friday 23 11 2018 2018w47 2018m11 |
9. | 368 566 12aug2019 Monday 12 8 2019 2019w32 2019m8 |
10. | 371 122 25may2018 Friday 25 5 2018 2018w21 2018m5 |
|-------------------------------------------------------------------------------|
11. | 377 342 31dec2018 Monday 31 12 2018 2018w52 2018m12 |
12. | 377 191 02aug2018 Thursday 2 8 2018 2018w31 2018m8 |
13. | 379 326 15dec2018 Saturday 15 12 2018 2018w50 2018m12 |
14. | 380 220 31aug2018 Friday 31 8 2018 2018w35 2018m8 |
15. | 382 599 14sep2019 Saturday 14 9 2019 2019w37 2019m9 |
|-------------------------------------------------------------------------------|
16. | 384 217 28aug2018 Tuesday 28 8 2018 2018w35 2018m8 |
17. | 386 214 25aug2018 Saturday 25 8 2018 2018w34 2018m8 |
18. | 387 339 28dec2018 Friday 28 12 2018 2018w52 2018m12 |
19. | 394 341 30dec2018 Sunday 30 12 2018 2018w52 2018m12 |
20. | 394 568 14aug2019 Wednesday 14 8 2019 2019w33 2019m8 |
|-------------------------------------------------------------------------------|
21. | 395 529 06jul2019 Saturday 6 7 2019 2019w27 2019m7 |
22. | 395 345 03jan2019 Thursday 3 1 2019 2019w1 2019m1 |
23. | 396 228 08sep2018 Saturday 8 9 2018 2018w36 2018m9 |
24. | 398 320 09dec2018 Sunday 9 12 2018 2018w49 2018m12 |
25. | 399 558 04aug2019 Sunday 4 8 2019 2019w31 2019m8 |
|-------------------------------------------------------------------------------|
26. | 400 262 12oct2018 Friday 12 10 2018 2018w41 2018m10 |
27. | 403 329 18dec2018 Tuesday 18 12 2018 2018w51 2018m12 |
28. | 406 287 06nov2018 Tuesday 6 11 2018 2018w45 2018m11 |
29. | 407 556 02aug2019 Friday 2 8 2019 2019w31 2019m8 |
30. | 411 565 11aug2019 Sunday 11 8 2019 2019w32 2019m8 |
|-------------------------------------------------------------------------------|
31. | 413 222 02sep2018 Sunday 2 9 2018 2018w35 2018m9 |
32. | 413 403 02mar2019 Saturday 2 3 2019 2019w9 2019m3 |
33. | 414 527 04jul2019 Thursday 4 7 2019 2019w27 2019m7 |
34. | 416 533 10jul2019 Wednesday 10 7 2019 2019w28 2019m7 |
35. | 416 278 28oct2018 Sunday 28 10 2018 2018w43 2018m10 |
|-------------------------------------------------------------------------------|
36. | 416 588 03sep2019 Tuesday 3 9 2019 2019w36 2019m9 |
37. | 417 109 12may2018 Saturday 12 5 2018 2018w19 2018m5 |
38. | 417 592 07sep2019 Saturday 7 9 2019 2019w36 2019m9 |
39. | 417 587 02sep2019 Monday 2 9 2019 2019w35 2019m9 |
40. | 419 186 28jul2018 Saturday 28 7 2018 2018w30 2018m7 |
|-------------------------------------------------------------------------------|
41. | 421 187 29jul2018 Sunday 29 7 2018 2018w30 2018m7 |
42. | 422 192 03aug2018 Friday 3 8 2018 2018w31 2018m8 |
43. | 425 276 26oct2018 Friday 26 10 2018 2018w43 2018m10 |
44. | 427 140 12jun2018 Tuesday 12 6 2018 2018w24 2018m6 |
45. | 427 277 27oct2018 Saturday 27 10 2018 2018w43 2018m10 |
|-------------------------------------------------------------------------------|
46. | 429 418 17mar2019 Sunday 17 3 2019 2019w11 2019m3 |
47. | 429 313 02dec2018 Sunday 2 12 2018 2018w48 2018m12 |
48. | 431 284 03nov2018 Saturday 3 11 2018 2018w44 2018m11 |
49. | 431 264 14oct2018 Sunday 14 10 2018 2018w41 2018m10 |
50. | 433 221 01sep2018 Saturday 1 9 2018 2018w35 2018m9 |
|-------------------------------------------------------------------------------|
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Time-series plots:Full dataset:Truncated dataset:
Basic statistics:- Last two days dropped due to incomple week (2019w46)Full dataset (only dropped first three days):. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 655.0 729.0 416.5 636.0 533.0 766.0 295.0 4500.0
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 184 or 1116. . di 766-533
233
. di 233*1.5
349.5
. di 766+349.5
1115.5
. di 533-349.5
183.5
There are 52 outliers (beyond 1116 or 184) in full dataset, in total. . count if (merit >= 1116 | merit <= 184) & merit != .
52
Those days are: . list id merit date if (merit >= 1116 | merit <= 184) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 3 4500 26jan2018 |
2. | 4 3490 27jan2018 |
3. | 5 3190 28jan2018 |
4. | 6 3800 29jan2018 |
5. | 7 4193 30jan2018 |
|-------------------------|
6. | 8 2821 31jan2018 |
7. | 9 2546 01feb2018 |
8. | 10 2569 02feb2018 |
9. | 11 1868 03feb2018 |
10. | 12 2182 04feb2018 |
|-------------------------|
11. | 13 2078 05feb2018 |
12. | 14 2310 06feb2018 |
13. | 15 2142 07feb2018 |
14. | 16 2143 08feb2018 |
15. | 17 1449 09feb2018 |
|-------------------------|
16. | 18 1748 10feb2018 |
17. | 19 1443 11feb2018 |
18. | 20 1332 12feb2018 |
19. | 21 1580 13feb2018 |
20. | 22 2514 14feb2018 |
|-------------------------|
21. | 23 1992 15feb2018 |
22. | 24 1416 16feb2018 |
23. | 25 1618 17feb2018 |
24. | 26 1293 18feb2018 |
25. | 27 1404 19feb2018 |
|-------------------------|
26. | 28 1170 20feb2018 |
27. | 29 1268 21feb2018 |
28. | 30 1280 22feb2018 |
30. | 32 1410 24feb2018 |
31. | 33 1187 25feb2018 |
|-------------------------|
32. | 34 1392 26feb2018 |
33. | 35 1327 27feb2018 |
35. | 37 1335 01mar2018 |
36. | 38 1706 02mar2018 |
39. | 41 1246 05mar2018 |
|-------------------------|
46. | 48 1355 12mar2018 |
48. | 50 1160 14mar2018 |
49. | 51 1131 15mar2018 |
54. | 56 1324 20mar2018 |
55. | 57 1229 21mar2018 |
|-------------------------|
66. | 68 1258 01apr2018 |
67. | 69 1147 02apr2018 |
151. | 153 1139 25jun2018 |
234. | 236 2464 16sep2018 |
235. | 237 1863 17sep2018 |
|-------------------------|
236. | 238 1295 18sep2018 |
237. | 239 1271 19sep2018 |
349. | 351 1162 09jan2019 |
354. | 356 1128 14jan2019 |
426. | 428 1250 27mar2019 |
|-------------------------|
473. | 475 1151 13may2019 |
502. | 504 1188 11jun2019 |
+-------------------------+
Only five of them occured in 2019, on 09/1/2019 (1162), 14/1/2019 (1128), 27/3/2019 (1250), 13/5/2019 (1151), and 11/6/2019 (1188). Note that the latest spike on 13/11/2019 at 1476 merits changed hands is surely a potential outlier but for this week that day dropped becauase it belongs to the incomplete week (2019w46). Truncated dataset (first 25 days dropped):. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 631.0 667.6 216.2 627.0 530.0 742.0 295.0 2464.0
----------------------------------------------------------------------------------------------
Applied same formulas I used in earlier analyses, potential outliers are days have intra-day merits beyond 212 or 1060. . di 742-530
212
. di 212*1.5
318
. di 742+318
1060
. di 530-318
212
There are 36 outliers in total, only seven of them occured in 2019, on 04/01/2019 (1083) , 09/1/2019 (1162), 14/01/2019 (1128) , 27/3/2019 (1250), 13/5/2019 (1151), 11/6/2019 (1188), and 21/10/2019 (1082). . count if (merit >= 1060 | merit <= 212) & merit != .
36
List of those 36 outliers in truncated dataset . list id merit date if (merit >= 1060 | merit <= 212) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 27 1404 19feb2018 |
2. | 28 1170 20feb2018 |
3. | 29 1268 21feb2018 |
4. | 30 1280 22feb2018 |
6. | 32 1410 24feb2018 |
|-------------------------|
7. | 33 1187 25feb2018 |
8. | 34 1392 26feb2018 |
9. | 35 1327 27feb2018 |
11. | 37 1335 01mar2018 |
12. | 38 1706 02mar2018 |
|-------------------------|
13. | 39 1090 03mar2018 |
15. | 41 1246 05mar2018 |
16. | 42 1075 06mar2018 |
17. | 43 1111 07mar2018 |
21. | 47 1092 11mar2018 |
|-------------------------|
22. | 48 1355 12mar2018 |
24. | 50 1160 14mar2018 |
25. | 51 1131 15mar2018 |
30. | 56 1324 20mar2018 |
31. | 57 1229 21mar2018 |
|-------------------------|
42. | 68 1258 01apr2018 |
43. | 69 1147 02apr2018 |
44. | 70 1081 03apr2018 |
45. | 71 1062 04apr2018 |
127. | 153 1139 25jun2018 |
|-------------------------|
210. | 236 2464 16sep2018 |
211. | 237 1863 17sep2018 |
212. | 238 1295 18sep2018 |
213. | 239 1271 19sep2018 |
320. | 346 1083 04jan2019 |
|-------------------------|
325. | 351 1162 09jan2019 |
330. | 356 1128 14jan2019 |
402. | 428 1250 27mar2019 |
449. | 475 1151 13may2019 |
478. | 504 1188 11jun2019 |
|-------------------------|
610. | 636 1082 21oct2019 |
+-------------------------+
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Update:ABSTRACT- Observed weeks: 22
- Median (interquartile range) of weekly earned merits for all 100 top merited profiles is 8 (2 - 17). It means they usually earn around 1 merit per day.
- Median (interquartile range) of weekly earned merits for the group of 1-25 is 12 (4 - 26), that is significantly higher than the figures of last 3 groups: 26-50 ( 8 ), 51-75 (7), and 76-100 (7).
- Min - max: 0 and 129, respectively.
- Period: 2019w23 - 2019w45
- Weekly earned merits: are not exacly weekly in Calendar day; and come from theymos' merit data dumps and LoyceV's data update. See
- All users in the top 100: 8 merits per week, with interquartile range is 2 to 17. It means if someone can manage to earn more than 7 merits per week, over months, they might move to the top months later.
- The top 1-25: 12 merits per week, that is 50-percent higher than the the second group (top 26-50) at 8. The rest two groups (top 51-75, and top 76-100) have same median at 7. (see details below)
- In median, top 26-100 merited users earn a little more than 1 merit per day
Data for last week (2019w45) Source: https://bitcointalk.org/index.php?topic=5115154.msg53096057#msg53096057. list id username m45 c45
+-------------------------------------------+
| id username m45 c45 |
|-------------------------------------------|
1. | 1 theymos 5723 128 |
2. | 2 LoyceV 4031 18 |
3. | 3 suchmoon 3263 21 |
4. | 4 DdmrDdmr 2834 28 |
5. | 5 o_e_l_e_o 2859 15 |
|-------------------------------------------|
6. | 6 micgoossens 2745 28 |
7. | 7 The Pharmacist 2158 12 |
8. | 8 satoshi 2063 20 |
9. | 9 Last of the V8s 1986 27 |
10. | 10 achow101 1902 5 |
|-------------------------------------------|
11. | 11 hilariousetc 1748 0 |
12. | 12 gmaxwell 1606 15 |
13. | 13 1miau 1496 47 |
14. | 14 abhiseshakana 1394 4 |
15. | 15 HairyMaclairy 1396 0 |
|-------------------------------------------|
16. | 16 Vod 1322 7 |
17. | 17 HCP 1348 3 |
18. | 18 xhomerx10 1388 5 |
19. | 19 nutildah 1445 10 |
20. | 20 bob123 1321 0 |
|-------------------------------------------|
21. | 21 xtraelv 1382 47 |
22. | 22 Jet Cash 1287 3 |
23. | 23 krogothmanhattan 1298 8 |
24. | 24 Hhampuz 1244 8 |
25. | 25 iasenko 1316 25 |
|-------------------------------------------|
26. | 26 mikeywith 1448 22 |
27. | 27 qwk 1180 1 |
28. | 28 marlboroza 1151 0 |
29. | 29 Piggy 1135 0 |
30. | 30 Lauda 1195 2 |
|-------------------------------------------|
31. | 31 fillippone 1623 64 |
32. | 32 joniboni 1154 3 |
33. | 33 Steamtyme 1335 11 |
34. | 34 LFC_Bitcoin 1251 11 |
35. | 35 TMAN 1060 3 |
|-------------------------------------------|
36. | 36 coinlocket$ 1110 9 |
37. | 37 ETFbitcoin 1082 5 |
38. | 38 bitmover 1096 10 |
39. | 39 BitCryptex 1066 4 |
40. | 40 JayJuanGee 1104 23 |
|-------------------------------------------|
41. | 41 BobLawblaw 1071 11 |
42. | 42 roycilik 1018 5 |
43. | 43 Toxic2040 985 0 |
44. | 44 DarkStar_ 1058 8 |
45. | 45 TryNinja 1106 14 |
|-------------------------------------------|
46. | 46 gentlemand 1070 2 |
47. | 47 SaltySpitoon 990 0 |
48. | 48 mu_enrico 1019 3 |
49. | 49 theyoungmillionaire 959 0 |
50. | 50 VB1001 1074 0 |
|-------------------------------------------|
51. | 51 Alex_Sr 898 0 |
52. | 52 taikuri13 1028 35 |
53. | 53 morvillz7z 1003 2 |
54. | 54 philipma1957 970 18 |
55. | 55 ICOEthics 879 0 |
|-------------------------------------------|
56. | 56 Carlton Banks 1052 23 |
57. | 57 pooya87 1048 19 |
58. | 58 Husna QA 929 6 |
59. | 59 minerjones 913 3 |
60. | 60 jojo69 955 39 |
|-------------------------------------------|
61. | 61 kenzawak 841 0 |
62. | 62 Veleor 1123 34 |
63. | 63 pandukelana2712 876 1 |
64. | 64 Lutpin 818 0 |
65. | 65 Xal0lex 943 2 |
|-------------------------------------------|
66. | 66 PHI16168 799 3 |
67. | 67 Coolcryptovator 914 6 |
68. | 68 nullius 783 0 |
69. | 69 TheNewAnon135246 809 10 |
70. | 70 yogg 954 27 |
|-------------------------------------------|
71. | 71 infofront 861 1 |
72. | 72 Coding Enthusiast 909 10 |
73. | 73 CryptopreneurBrainboss 857 8 |
74. | 74 Quickseller 769 0 |
75. | 75 DireWolfM14 854 25 |
|-------------------------------------------|
76. | 76 loyvesmayfamilis 889 18 |
77. | 77 actmyame 824 3 |
78. | 78 mocacino 822 10 |
79. | 79 OgNasty 735 0 |
80. | 80 asche 799 8 |
|-------------------------------------------|
81. | 81 Goran_ 808 29 |
82. | 82 Flying Hellfish 710 4 |
83. | 83 witcher_sense 882 29 |
84. | 84 bones261 706 0 |
85. | 85 mole0815 762 7 |
|-------------------------------------------|
86. | 86 LeGaulois 722 12 |
87. | 87 Lafu 720 16 |
88. | 88 yahoo62278 937 6 |
89. | 89 hilariousandco 687 0 |
90. | 90 Pmalek 665 2 |
|-------------------------------------------|
91. | 91 tvplus006 755 5 |
92. | 92 HeRetiK 638 5 |
93. | 93 wwzsocki 801 3 |
94. | 94 stompix 692 5 |
95. | 95 Artemis3 646 3 |
|-------------------------------------------|
96. | 96 tranthidung 819 49 |
97. | 97 TheFuzzStone 722 18 |
98. | 98 chimk 689 9 |
99. | 99 Coin-1 635 2 |
100. | 100 mjglqw 671 9 |
+-------------------------------------------+
- For all 100 users: - Mean +/- standard deviation: 12.6 +/- 15.3
- Median (interquartile range): 8 (2 - 17)
Details: . tabstat meritchange , s(n mean sd p50 p25 p75 min max)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
meritchange | 2200 12.61636 15.2437 8 2 17 0 129
----------------------------------------------------------------------------------------------
For each users (see details in below table). In median(interquartile range): the top 5 (just for last 21 weeks) are: - LoyceV: 48 (24 - 60)
- fillippone: 48 (33 - 64)
- o_e_l_e_o: 44 (22 - 53)
- suchmoon: 36 (21 - 47)
- nutildah: 31 (21 - 43)
There is no outliers found in the top 5. It means their weekly earned merits are very very stable.  Sorting them out descendingly by median of weekly earned merits (p50 - median) and list only the top 30 because of limited characters in one post (a new section since this week). For the rest, please see the raw results below. . list rank username median p25 p75 min max if rank <= 30, abb(30)
+----------------------------------------------------------------+
| rank username median p25 p75 min max |
|----------------------------------------------------------------|
1. | 1 fillippone 47.5 33 64 23 113 |
2. | 2 LoyceV 47.5 24 60 16 110 |
3. | 3 o_e_l_e_o 44 22 53 12 82 |
4. | 4 suchmoon 35.5 21 47 10 87 |
5. | 5 nutildah 31 21 43 4 66 |
|----------------------------------------------------------------|
6. | 6 mikeywith 26.5 18 30 8 51 |
7. | 7 micgoossens 26.5 24 38 16 62 |
8. | 8 bob123 23.5 10 35 0 56 |
9. | 9 DdmrDdmr 23 18 34 5 67 |
10. | 10 theymos 22.5 12 44 1 128 |
|----------------------------------------------------------------|
11. | 11 VB1001 22.5 10 31 0 54 |
12. | 12 witcher_sense 21.5 14 30 3 61 |
13. | 13 LFC_Bitcoin 21 15 27 10 48 |
14. | 14 loyvesmayfamilis 19 4 29 0 49 |
15. | 15 Veleor 19 12 24 2 81 |
|----------------------------------------------------------------|
16. | 16 achow101 16.5 9 29 1 60 |
17. | 17 pooya87 16.5 11 20 7 30 |
18. | 18 1miau 16 10 29 4 100 |
19. | 19 bitmover 15 7 21 4 68 |
20. | 20 morvillz7z 15 9 19 2 39 |
|----------------------------------------------------------------|
21. | 21 taikuri13 15 9 21 5 35 |
22. | 22 gentlemand 14.5 9 23 2 31 |
23. | 23 BitCryptex 14.5 6 20 2 30 |
24. | 24 wwzsocki 14 4 22 0 78 |
25. | 25 tranthidung 13.5 9 30 1 104 |
|----------------------------------------------------------------|
26. | 26 TryNinja 13 9 19 0 32 |
27. | 27 JayJuanGee 13 7 20 3 57 |
28. | 28 Carlton Banks 12.5 10 19 7 60 |
29. | 29 CryptopreneurBrainboss 12.5 10 15 3 79 |
30. | 30 iasenko 12.5 2 20 0 40 |
+----------------------------------------------------------------+
Raw results: . tabstat meritchange , s(n mean sd p50 p25 p75 min max) by(username)
Summary for variables: meritchange
by categories of: username (username)
username | N mean sd p50 p25 p75 min max
-----------------+--------------------------------------------------------------------------------
1miau | 22 23.18182 21.67649 16 10 29 4 100
Alex_Sr | 22 4 5.061526 1.5 0 7 0 18
Artemis3 | 22 5.954545 5.268751 4 2 9 0 19
BitCryptex | 22 14.13636 9.009495 14.5 6 20 2 30
BobLawblaw | 22 6.409091 6.084008 4.5 2 9 0 27
Carlton Banks | 22 16.86364 12.19014 12.5 10 19 7 60
Coding Enthusias | 22 12.86364 11.21349 10.5 5 17 0 45
Coin-1 | 22 6.772727 5.65628 5 3 8 0 23
Coolcryptovator | 22 8.636364 6.77211 8 2 12 0 25
CryptopreneurBra | 22 15.54545 15.22131 12.5 10 15 3 79
DarkStar_ | 22 10.95455 10.37156 7.5 4 14 2 45
DdmrDdmr | 22 27.31818 15.87267 23 18 34 5 67
DireWolfM14 | 22 12.04545 10.4402 9 5 18 0 43
ETFbitcoin | 22 12.90909 10.36895 10 7 15 1 47
Flying Hellfish | 22 4.681818 8.120441 1 0 4 0 26
Goran_ | 22 9.727273 6.929453 9 5 11 0 29
HCP | 22 10.72727 7.802209 9 4 17 1 26
HairyMaclairy | 22 11.5 9.425144 10 4 16 0 42
HeRetiK | 22 3.818182 4.338492 2.5 1 5 0 20
Hhampuz | 22 5.681818 8.225317 3 1 6 0 36
Husna QA | 22 6.5 6.815598 5 3 7 0 31
ICOEthics | 22 1.227273 2.202419 0 0 1 0 8
JayJuanGee | 22 14.40909 11.36268 13 7 20 3 57
Jet Cash | 22 5.863636 4.290582 5 3 9 0 16
LFC_Bitcoin | 22 22.45455 9.369288 21 15 27 10 48
Lafu | 22 7.090909 5.639226 6 2 10 0 19
Last of the V8s | 22 13.31818 13.15977 7.5 1 25 0 43
Lauda | 22 5.727273 6.204314 3.5 1 9 0 21
LeGaulois | 22 4.772727 4.428606 4 2 5 0 18
LoyceV | 22 44.54545 23.48602 47.5 24 60 16 110
Lutpin | 22 1.818182 2.575274 1 0 3 0 7
OgNasty | 22 2.045455 2.081146 1.5 0 3 0 7
PHI16168 | 22 2.590909 4.737481 1 0 3 0 17
Piggy | 22 1.727273 2.229282 1 0 2 0 7
Pmalek | 22 5.363636 4.865285 3 2 9 0 17
Quickseller | 22 4.545455 5.500885 2.5 0 8 0 18
SaltySpitoon | 22 7.363636 7.985376 4 1 12 0 27
Steamtyme | 22 17.45455 27.55035 8 5 16 2 129
TMAN | 22 1.454545 1.710674 1 0 2 0 6
The Pharmacist | 22 8.909091 7.083913 8 4 10 0 29
TheFuzzStone | 22 14.63636 13.76865 12 7 18 0 53
TheNewAnon135246 | 22 4.545455 4.008649 3 1 8 0 15
Toxic2040 | 22 5.727273 9.823111 0 0 6 0 36
TryNinja | 22 14.22727 8.371902 13 9 19 0 32
VB1001 | 22 22.31818 13.70223 22.5 10 31 0 54
Veleor | 22 22.31818 19.78789 19 12 24 2 81
Vod | 22 3.181818 3.620528 2 1 4 0 14
Xal0lex | 22 13 10.81885 8.5 6 20 2 38
abhiseshakana | 22 9.227273 5.846707 8 5 13 0 20
achow101 | 22 20.31818 14.81758 16.5 9 29 1 60
actmyame | 22 11.59091 8.438343 9 6 17 0 32
asche | 22 8.636364 7.594142 7 4 10 1 33
bitmover | 22 16.63636 13.40414 15 7 21 4 68
bob123 | 22 22.68182 16.70582 23.5 10 35 0 56
bones261 | 22 5.272727 7.336678 2.5 0 8 0 27
chimk | 22 11.04545 7.047305 9.5 5 13 3 30
coinlocket$ | 22 3.363636 5.602257 2 0 3 0 25
fillippone | 22 51.5 21.02096 47.5 33 64 23 113
gentlemand | 22 15.68182 8.037924 14.5 9 23 2 31
gmaxwell | 22 13.90909 24.39342 5.5 1 15 0 113
hilariousandco | 22 4.409091 4.866397 2 1 7 0 18
hilariousetc | 22 6.772727 9.060284 2.5 1 10 0 30
iasenko | 22 13.31818 11.82566 12.5 2 20 0 40
infofront | 22 6.772727 15.92223 2 0 5 0 72
jojo69 | 22 8.954545 8.214257 8 4 11 1 39
joniboni | 22 5.181818 4.51069 4.5 1 9 0 17
kenzawak | 22 3.181818 6.507405 0 0 1 0 23
krogothmanhattan | 22 8.727273 7.238665 7.5 3 10 0 28
loyvesmayfamilis | 22 19 15.27213 19 4 29 0 49
marlboroza | 22 10.40909 13.11001 6 1 15 0 48
micgoossens | 22 31.45455 12.35864 26.5 24 38 16 62
mikeywith | 22 25 10.7038 26.5 18 30 8 51
minerjones | 22 9.454545 6.836368 10.5 3 14 1 23
mjglqw | 22 10.95455 7.227443 11.5 5 15 0 24
mocacino | 22 9.772727 7.533619 7.5 5 15 0 28
mole0815 | 22 6.363636 9.514628 2 1 6 0 34
morvillz7z | 22 16.04545 9.882535 15 9 19 2 39
mu_enrico | 22 8.772727 5.951645 7 4 15 1 23
nullius | 22 .3181818 .7162311 0 0 0 0 3
nutildah | 22 32.36364 16.52572 31 21 43 4 66
o_e_l_e_o | 22 40.77273 19.03363 44 22 53 12 82
pandukelana2712 | 22 6.272727 6.437848 6 1 7 0 25
philipma1957 | 22 10.09091 6.494753 9 5 13 2 26
pooya87 | 22 16.59091 6.85676 16.5 11 20 7 30
qwk | 22 2.909091 2.775901 2 1 5 0 10
roycilik | 22 6.363636 9.121119 2 1 9 0 35
satoshi | 22 13 18.94353 3.5 1 20 0 71
stompix | 22 7 5.537749 5.5 2 11 1 20
suchmoon | 22 37.18182 20.75168 35.5 21 47 10 87
taikuri13 | 22 16 8.87479 15 9 21 5 35
theymos | 22 37.36364 37.35868 22.5 12 44 1 128
theyoungmilliona | 22 3.954545 6.972581 .5 0 4 0 25
tranthidung | 22 22.18182 22.40246 13.5 9 30 1 104
tvplus006 | 22 13.45455 10.41851 10.5 6 21 0 37
witcher_sense | 22 24.18182 15.2179 21.5 14 30 3 61
wwzsocki | 22 18.04545 17.94297 14 4 22 0 78
xhomerx10 | 22 9.863636 8.345489 8.5 5 13 0 36
xtraelv | 22 13.81818 14.11057 9.5 3 20 0 47
yahoo62278 | 22 18.36364 24.27922 10.5 6 20 0 112
yogg | 22 14.27273 13.18073 11 4 18 0 61
-----------------+--------------------------------------------------------------------------------
Total | 2200 12.61636 15.2437 8 2 17 0 129
--------------------------------------------------------------------------------------------------
. tabstat meritchange , s(n mean sd p50 p25 p75 min max) by(group)
Summary for variables: meritchange
by categories of: group
group | N mean sd p50 p25 p75 min max
-------+--------------------------------------------------------------------------------
1-25 | 550 18.6 19.7558 12 4 26 0 128
26-50 | 550 12.28182 14.87858 7.5 2 17 0 129
51-75 | 550 9.378182 10.89571 7 1 14 0 81
76-100 | 550 10.20545 12.16805 7 2 13 0 112
-------+--------------------------------------------------------------------------------
Total | 2200 12.61636 15.2437 8 2 17 0 129
----------------------------------------------------------------------------------------
Box plots:For all top 100 merited users: For 4 groups of top 100 merited users: Over each users (outliers displayed with red circles):
A new section included since this week, the list of most merited users among the top-100 for each week (if their last week earned merits >=5). This time, for the 2019w45. . list id username c45 m45 if c45 >= 5
+-------------------------------------------+
| id username c45 m45 |
|-------------------------------------------|
1. | 1 theymos 128 5723 |
2. | 31 fillippone 64 1623 |
3. | 96 tranthidung 49 819 |
4. | 13 1miau 47 1496 |
5. | 21 xtraelv 47 1382 |
|-------------------------------------------|
6. | 60 jojo69 39 955 |
7. | 52 taikuri13 35 1028 |
8. | 62 Veleor 34 1123 |
9. | 83 witcher_sense 29 882 |
10. | 81 Goran_ 29 808 |
|-------------------------------------------|
11. | 6 micgoossens 28 2745 |
12. | 4 DdmrDdmr 28 2834 |
13. | 9 Last of the V8s 27 1986 |
14. | 70 yogg 27 954 |
15. | 75 DireWolfM14 25 854 |
|-------------------------------------------|
16. | 25 iasenko 25 1316 |
17. | 56 Carlton Banks 23 1052 |
18. | 40 JayJuanGee 23 1104 |
19. | 26 mikeywith 22 1448 |
20. | 3 suchmoon 21 3263 |
|-------------------------------------------|
21. | 8 satoshi 20 2063 |
22. | 57 pooya87 19 1048 |
23. | 2 LoyceV 18 4031 |
24. | 76 loyvesmayfamilis 18 889 |
25. | 54 philipma1957 18 970 |
|-------------------------------------------|
26. | 97 TheFuzzStone 18 722 |
27. | 87 Lafu 16 720 |
28. | 5 o_e_l_e_o 15 2859 |
29. | 12 gmaxwell 15 1606 |
30. | 45 TryNinja 14 1106 |
|-------------------------------------------|
31. | 7 The Pharmacist 12 2158 |
32. | 86 LeGaulois 12 722 |
33. | 33 Steamtyme 11 1335 |
34. | 34 LFC_Bitcoin 11 1251 |
35. | 41 BobLawblaw 11 1071 |
|-------------------------------------------|
36. | 38 bitmover 10 1096 |
37. | 72 Coding Enthusiast 10 909 |
38. | 19 nutildah 10 1445 |
39. | 78 mocacino 10 822 |
40. | 69 TheNewAnon135246 10 809 |
|-------------------------------------------|
41. | 36 coinlocket$ 9 1110 |
42. | 98 chimk 9 689 |
43. | 100 mjglqw 9 671 |
44. | 73 CryptopreneurBrainboss 8 857 |
45. | 24 Hhampuz 8 1244 |
|-------------------------------------------|
46. | 23 krogothmanhattan 8 1298 |
47. | 44 DarkStar_ 8 1058 |
48. | 80 asche 8 799 |
49. | 85 mole0815 7 762 |
50. | 16 Vod 7 1322 |
|-------------------------------------------|
51. | 88 yahoo62278 6 937 |
52. | 58 Husna QA 6 929 |
53. | 67 Coolcryptovator 6 914 |
54. | 37 ETFbitcoin 5 1082 |
55. | 18 xhomerx10 5 1388 |
|-------------------------------------------|
56. | 94 stompix 5 692 |
57. | 10 achow101 5 1902 |
58. | 91 tvplus006 5 755 |
59. | 92 HeRetiK 5 638 |
60. | 42 roycilik 5 1018 |
+-------------------------------------------+
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I am not aware of any other forum in which the mass collection of posts are allowed. Lol, please define forum. A collections of posts, maybe? All publicly accessible posts?  I think this just became number one on QuickSeller's List of Asinine Accusations. Posts made in the forum are visible for all, excludes special boards for staffs and VIP members (as far as I know). Everyone have rights to use quote button to quote posts and they can save, scrap, archive any post they want. If one care about their privacy, just don't use public forum or don't post personal information publicly. As I read from the Welcome message by theymos, the forum is a place for discussion, not private or secret discussion. This forum exists to provide a platform for the free (but ordered) exchange of ideas. If you have an idea to express, then it is probably possible to do it here as long as you follow the rules.
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As far as I know, reinstalling Electrum from seed should recover your transaction history too, just like when you import an old private key.
Hey, now I see transaction history and my transaction was confirmed about 6 hours ago. I saw it hours ago on explorer but did not check my wallet till now. Are there any explanation why I did not see transaction history yesterday?In my wallet, I choose "Select server automatically". Wallet.dat doesn't belong to Electrum, it's used by Bitcoin Core.
It is my incorrect description, I am sorry. The Electrum save wallet as wallet_default but we can rename that file. Most of wallets use wallet.dat so I made mistakes due to this. If you're in a hurry you could probably export the private key and create a new transaction (double spend), but you'll need to know what you're doing and take safety precautions. If you're not in a hurry I'd just wait it out. Chances are though it won't confirm anymore in the weekend, and on week days fees usually go up. So it can either drop from mempool or confirm in a few days or next weekend.
Thank you for the clarification. Finally, that transaction was confirmed about 6 hours ago at 1 satoshi/byte fee. |
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@Issenko there is bit wrong info, I had started journey with ZERO merit on forum. All merit received from others. Anyway thanks for add me on list. I need more 79 merit to become Legendary  . Feeling excited...  It is wrong for my case too. I remembered that I started with 0 merit (not 1) when merit system kicked in. Months ago, @DdmrDdmr made a update in one of his threads and claimed that I am a self-made Hero member from old-era Newbie. |
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I assumed that you also didn't see your balance. Was the value of the unconfirmed transaction deducted from it?
What I saw is: Balance: A [-B unconfirmed] A is the balance of my wallet before I made that unconfirmed transaction. B is the value of the transaction I want to boost it. |
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Click on the green dot and tell us what the third value is equal to.
Third value, what do you mean? Can you clarify it, please. If you meant blockchain, it is 604214 blocks. You can also try using a different server.
There are so many servers to check and get transaction history. Can I check which server my yesterday wallet connected to? It will save lots of time.
As other said, are you sure you're on the same wallet? Can you check to see if you have access to the same addresses?
Maybe you'd recognize some of them, their inputs, outputs or balances. Check on the blockchain to see.
Sure, I can see rest of my balance and my address; just did not see transaction history. |
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Are you sure you are on the same wallet? It seems to me you are either looking at the wrong wallet (likely) or your transaction dropped out of the mempool. (unlikely because the transaction is pretty new, 1 day old)
As I stated in OP, I reinstalled my Windows. Then, I tried to log in my wallet in two ways: - With seeds - With my wallet.dat file I saved before reinstalled Windows (but I don't remember that wallet backup is before or after I did that transaction). Both ways lead to same result, I can not see transaction history - that is the problem because without transaction history I can not use RBF or CPFP. For your question, it is my wallet, not wrong one. 
Theoretically, you can prepare your transaction in a watch-only wallet and then sign it using the recovered wallet, but if you managed to recover the same wallet from which you send the coins then your transaction history should be synchronized anyway. What version of Electrum do you have?
Electrum 3.3.8. It has synced with the network (green) but I have not yet seen my transaction history. CPFP can be used be the wallet which contains the destination address.
Really, from the FAQ, CPFP can be done by senders or recipients. - Create a “Child Pays for Parent” transaction. A CPFP is a new transaction that pays a high fee in order to compensate for the small fee of its parent transaction. It can be done by the recipient of the funds, or by the sender, if the transaction has a change output. To create a CPFP transaction right click on the unconfirmed transaction on the history tab and choose “Child pays for parent”. Set an appropriate fee and click on “OK”. A window will popup with the unsigned transaction. Click on “Sign” and then “Broadcast”.
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Hi all,
I reinstall my Windows early today, and yeah reinstalled my Electrum wallet. This is my first time to do this, so after using my old seeds to create wallet, I lost my transaction history inside the wallet.
The problem is yesterday I made a transaction at 1 satoshi/ byte, and today I would like to use Replace-by-fee (RBF) or Child-pay-for-parent (CPFP) transactions to boost yesterday transaction - that has not yet confirmed.
Can I do this with the wallet without transaction history?
Thanks for all your help, guys.
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Update:Converted intra-day merits for days in 2019. . list id merit date day month2 year week month dofw if year == 2019
+-------------------------------------------------------------------------------+
| id merit date day month2 year week month dofw |
|-------------------------------------------------------------------------------|
343. | 343 604 01jan2019 1 1 2019 2019w1 2019m1 Tuesday |
344. | 344 530 02jan2019 2 1 2019 2019w1 2019m1 Wednesday |
345. | 345 395 03jan2019 3 1 2019 2019w1 2019m1 Thursday |
346. | 346 1083 04jan2019 4 1 2019 2019w1 2019m1 Friday |
347. | 347 836 05jan2019 5 1 2019 2019w1 2019m1 Saturday |
|-------------------------------------------------------------------------------|
348. | 348 784 06jan2019 6 1 2019 2019w1 2019m1 Sunday |
349. | 349 571 07jan2019 7 1 2019 2019w1 2019m1 Monday |
350. | 350 783 08jan2019 8 1 2019 2019w2 2019m1 Tuesday |
351. | 351 1162 09jan2019 9 1 2019 2019w2 2019m1 Wednesday |
352. | 352 988 10jan2019 10 1 2019 2019w2 2019m1 Thursday |
|-------------------------------------------------------------------------------|
353. | 353 879 11jan2019 11 1 2019 2019w2 2019m1 Friday |
354. | 354 713 12jan2019 12 1 2019 2019w2 2019m1 Saturday |
355. | 355 979 13jan2019 13 1 2019 2019w2 2019m1 Sunday |
356. | 356 1128 14jan2019 14 1 2019 2019w2 2019m1 Monday |
357. | 357 818 15jan2019 15 1 2019 2019w3 2019m1 Tuesday |
|-------------------------------------------------------------------------------|
358. | 358 881 16jan2019 16 1 2019 2019w3 2019m1 Wednesday |
359. | 359 1019 17jan2019 17 1 2019 2019w3 2019m1 Thursday |
360. | 360 612 18jan2019 18 1 2019 2019w3 2019m1 Friday |
361. | 361 644 19jan2019 19 1 2019 2019w3 2019m1 Saturday |
362. | 362 659 20jan2019 20 1 2019 2019w3 2019m1 Sunday |
|-------------------------------------------------------------------------------|
363. | 363 684 21jan2019 21 1 2019 2019w3 2019m1 Monday |
364. | 364 619 22jan2019 22 1 2019 2019w4 2019m1 Tuesday |
365. | 365 737 23jan2019 23 1 2019 2019w4 2019m1 Wednesday |
366. | 366 716 24jan2019 24 1 2019 2019w4 2019m1 Thursday |
367. | 367 616 25jan2019 25 1 2019 2019w4 2019m1 Friday |
|-------------------------------------------------------------------------------|
368. | 368 588 26jan2019 26 1 2019 2019w4 2019m1 Saturday |
369. | 369 656 27jan2019 27 1 2019 2019w4 2019m1 Sunday |
370. | 370 735 28jan2019 28 1 2019 2019w4 2019m1 Monday |
371. | 371 613 29jan2019 29 1 2019 2019w5 2019m1 Tuesday |
372. | 372 511 30jan2019 30 1 2019 2019w5 2019m1 Wednesday |
|-------------------------------------------------------------------------------|
373. | 373 451 31jan2019 31 1 2019 2019w5 2019m1 Thursday |
374. | 374 596 01feb2019 1 2 2019 2019w5 2019m2 Friday |
375. | 375 942 02feb2019 2 2 2019 2019w5 2019m2 Saturday |
376. | 376 581 03feb2019 3 2 2019 2019w5 2019m2 Sunday |
377. | 377 797 04feb2019 4 2 2019 2019w5 2019m2 Monday |
|-------------------------------------------------------------------------------|
378. | 378 780 05feb2019 5 2 2019 2019w6 2019m2 Tuesday |
379. | 379 560 06feb2019 6 2 2019 2019w6 2019m2 Wednesday |
380. | 380 549 07feb2019 7 2 2019 2019w6 2019m2 Thursday |
381. | 381 612 08feb2019 8 2 2019 2019w6 2019m2 Friday |
382. | 382 624 09feb2019 9 2 2019 2019w6 2019m2 Saturday |
|-------------------------------------------------------------------------------|
383. | 383 560 10feb2019 10 2 2019 2019w6 2019m2 Sunday |
384. | 384 647 11feb2019 11 2 2019 2019w6 2019m2 Monday |
385. | 385 586 12feb2019 12 2 2019 2019w7 2019m2 Tuesday |
386. | 386 675 13feb2019 13 2 2019 2019w7 2019m2 Wednesday |
387. | 387 650 14feb2019 14 2 2019 2019w7 2019m2 Thursday |
|-------------------------------------------------------------------------------|
388. | 388 611 15feb2019 15 2 2019 2019w7 2019m2 Friday |
389. | 389 525 16feb2019 16 2 2019 2019w7 2019m2 Saturday |
390. | 390 608 17feb2019 17 2 2019 2019w7 2019m2 Sunday |
391. | 391 566 18feb2019 18 2 2019 2019w7 2019m2 Monday |
392. | 392 638 19feb2019 19 2 2019 2019w8 2019m2 Tuesday |
|-------------------------------------------------------------------------------|
393. | 393 698 20feb2019 20 2 2019 2019w8 2019m2 Wednesday |
394. | 394 505 21feb2019 21 2 2019 2019w8 2019m2 Thursday |
395. | 395 510 22feb2019 22 2 2019 2019w8 2019m2 Friday |
396. | 396 661 23feb2019 23 2 2019 2019w8 2019m2 Saturday |
397. | 397 609 24feb2019 24 2 2019 2019w8 2019m2 Sunday |
|-------------------------------------------------------------------------------|
398. | 398 900 25feb2019 25 2 2019 2019w8 2019m2 Monday |
399. | 399 737 26feb2019 26 2 2019 2019w9 2019m2 Tuesday |
400. | 400 554 27feb2019 27 2 2019 2019w9 2019m2 Wednesday |
401. | 401 708 28feb2019 28 2 2019 2019w9 2019m2 Thursday |
402. | 402 510 01mar2019 1 3 2019 2019w9 2019m3 Friday |
|-------------------------------------------------------------------------------|
403. | 403 413 02mar2019 2 3 2019 2019w9 2019m3 Saturday |
404. | 404 1003 03mar2019 3 3 2019 2019w9 2019m3 Sunday |
405. | 405 713 04mar2019 4 3 2019 2019w9 2019m3 Monday |
406. | 406 681 05mar2019 5 3 2019 2019w10 2019m3 Tuesday |
407. | 407 788 06mar2019 6 3 2019 2019w10 2019m3 Wednesday |
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408. | 408 714 07mar2019 7 3 2019 2019w10 2019m3 Thursday |
409. | 409 713 08mar2019 8 3 2019 2019w10 2019m3 Friday |
410. | 410 724 09mar2019 9 3 2019 2019w10 2019m3 Saturday |
411. | 411 657 10mar2019 10 3 2019 2019w10 2019m3 Sunday |
412. | 412 636 11mar2019 11 3 2019 2019w10 2019m3 Monday |
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413. | 413 681 12mar2019 12 3 2019 2019w11 2019m3 Tuesday |
414. | 414 689 13mar2019 13 3 2019 2019w11 2019m3 Wednesday |
415. | 415 805 14mar2019 14 3 2019 2019w11 2019m3 Thursday |
416. | 416 581 15mar2019 15 3 2019 2019w11 2019m3 Friday |
417. | 417 483 16mar2019 16 3 2019 2019w11 2019m3 Saturday |
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418. | 418 429 17mar2019 17 3 2019 2019w11 2019m3 Sunday |
419. | 419 658 18mar2019 18 3 2019 2019w11 2019m3 Monday |
420. | 420 759 19mar2019 19 3 2019 2019w12 2019m3 Tuesday |
421. | 421 652 20mar2019 20 3 2019 2019w12 2019m3 Wednesday |
422. | 422 721 21mar2019 21 3 2019 2019w12 2019m3 Thursday |
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423. | 423 676 22mar2019 22 3 2019 2019w12 2019m3 Friday |
424. | 424 626 23mar2019 23 3 2019 2019w12 2019m3 Saturday |
425. | 425 596 24mar2019 24 3 2019 2019w12 2019m3 Sunday |
426. | 426 579 25mar2019 25 3 2019 2019w12 2019m3 Monday |
427. | 427 727 26mar2019 26 3 2019 2019w13 2019m3 Tuesday |
|-------------------------------------------------------------------------------|
428. | 428 1250 27mar2019 27 3 2019 2019w13 2019m3 Wednesday |
429. | 429 928 28mar2019 28 3 2019 2019w13 2019m3 Thursday |
430. | 430 729 29mar2019 29 3 2019 2019w13 2019m3 Friday |
431. | 431 656 30mar2019 30 3 2019 2019w13 2019m3 Saturday |
432. | 432 852 31mar2019 31 3 2019 2019w13 2019m3 Sunday |
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433. | 433 988 01apr2019 1 4 2019 2019w13 2019m4 Monday |
434. | 434 701 02apr2019 2 4 2019 2019w14 2019m4 Tuesday |
435. | 435 617 03apr2019 3 4 2019 2019w14 2019m4 Wednesday |
436. | 436 533 04apr2019 4 4 2019 2019w14 2019m4 Thursday |
437. | 437 617 05apr2019 5 4 2019 2019w14 2019m4 Friday |
|-------------------------------------------------------------------------------|
438. | 438 620 06apr2019 6 4 2019 2019w14 2019m4 Saturday |
439. | 439 729 07apr2019 7 4 2019 2019w14 2019m4 Sunday |
440. | 440 709 08apr2019 8 4 2019 2019w14 2019m4 Monday |
441. | 441 708 09apr2019 9 4 2019 2019w15 2019m4 Tuesday |
442. | 442 742 10apr2019 10 4 2019 2019w15 2019m4 Wednesday |
|-------------------------------------------------------------------------------|
443. | 443 909 11apr2019 11 4 2019 2019w15 2019m4 Thursday |
444. | 444 613 12apr2019 12 4 2019 2019w15 2019m4 Friday |
445. | 445 791 13apr2019 13 4 2019 2019w15 2019m4 Saturday |
446. | 446 770 14apr2019 14 4 2019 2019w15 2019m4 Sunday |
447. | 447 738 15apr2019 15 4 2019 2019w15 2019m4 Monday |
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448. | 448 678 16apr2019 16 4 2019 2019w16 2019m4 Tuesday |
449. | 449 629 17apr2019 17 4 2019 2019w16 2019m4 Wednesday |
450. | 450 785 18apr2019 18 4 2019 2019w16 2019m4 Thursday |
451. | 451 609 19apr2019 19 4 2019 2019w16 2019m4 Friday |
452. | 452 663 20apr2019 20 4 2019 2019w16 2019m4 Saturday |
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453. | 453 777 21apr2019 21 4 2019 2019w16 2019m4 Sunday |
454. | 454 547 22apr2019 22 4 2019 2019w16 2019m4 Monday |
455. | 455 525 23apr2019 23 4 2019 2019w17 2019m4 Tuesday |
456. | 456 535 24apr2019 24 4 2019 2019w17 2019m4 Wednesday |
457. | 457 930 25apr2019 25 4 2019 2019w17 2019m4 Thursday |
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458. | 458 651 26apr2019 26 4 2019 2019w17 2019m4 Friday |
459. | 459 478 27apr2019 27 4 2019 2019w17 2019m4 Saturday |
460. | 460 598 28apr2019 28 4 2019 2019w17 2019m4 Sunday |
461. | 461 731 29apr2019 29 4 2019 2019w17 2019m4 Monday |
462. | 462 624 30apr2019 30 4 2019 2019w18 2019m4 Tuesday |
|-------------------------------------------------------------------------------|
463. | 463 589 01may2019 1 5 2019 2019w18 2019m5 Wednesday |
464. | 464 550 02may2019 2 5 2019 2019w18 2019m5 Thursday |
465. | 465 523 03may2019 3 5 2019 2019w18 2019m5 Friday |
466. | 466 919 04may2019 4 5 2019 2019w18 2019m5 Saturday |
467. | 467 864 05may2019 5 5 2019 2019w18 2019m5 Sunday |
|-------------------------------------------------------------------------------|
468. | 468 695 06may2019 6 5 2019 2019w18 2019m5 Monday |
469. | 469 734 07may2019 7 5 2019 2019w19 2019m5 Tuesday |
470. | 470 755 08may2019 8 5 2019 2019w19 2019m5 Wednesday |
471. | 471 892 09may2019 9 5 2019 2019w19 2019m5 Thursday |
472. | 472 702 10may2019 10 5 2019 2019w19 2019m5 Friday |
|-------------------------------------------------------------------------------|
473. | 473 593 11may2019 11 5 2019 2019w19 2019m5 Saturday |
474. | 474 627 12may2019 12 5 2019 2019w19 2019m5 Sunday |
475. | 475 1151 13may2019 13 5 2019 2019w19 2019m5 Monday |
476. | 476 913 14may2019 14 5 2019 2019w20 2019m5 Tuesday |
477. | 477 845 15may2019 15 5 2019 2019w20 2019m5 Wednesday |
|-------------------------------------------------------------------------------|
478. | 478 752 16may2019 16 5 2019 2019w20 2019m5 Thursday |
479. | 479 643 17may2019 17 5 2019 2019w20 2019m5 Friday |
480. | 480 612 18may2019 18 5 2019 2019w20 2019m5 Saturday |
481. | 481 647 19may2019 19 5 2019 2019w20 2019m5 Sunday |
482. | 482 802 20may2019 20 5 2019 2019w20 2019m5 Monday |
|-------------------------------------------------------------------------------|
483. | 483 730 21may2019 21 5 2019 2019w21 2019m5 Tuesday |
484. | 484 823 22may2019 22 5 2019 2019w21 2019m5 Wednesday |
485. | 485 673 23may2019 23 5 2019 2019w21 2019m5 Thursday |
486. | 486 627 24may2019 24 5 2019 2019w21 2019m5 Friday |
487. | 487 513 25may2019 25 5 2019 2019w21 2019m5 Saturday |
|-------------------------------------------------------------------------------|
488. | 488 552 26may2019 26 5 2019 2019w21 2019m5 Sunday |
489. | 489 662 27may2019 27 5 2019 2019w21 2019m5 Monday |
490. | 490 592 28may2019 28 5 2019 2019w22 2019m5 Tuesday |
491. | 491 729 29may2019 29 5 2019 2019w22 2019m5 Wednesday |
492. | 492 733 30may2019 30 5 2019 2019w22 2019m5 Thursday |
|-------------------------------------------------------------------------------|
493. | 493 626 31may2019 31 5 2019 2019w22 2019m5 Friday |
494. | 494 639 01jun2019 1 6 2019 2019w22 2019m6 Saturday |
495. | 495 475 02jun2019 2 6 2019 2019w22 2019m6 Sunday |
496. | 496 651 03jun2019 3 6 2019 2019w22 2019m6 Monday |
497. | 497 675 04jun2019 4 6 2019 2019w23 2019m6 Tuesday |
|-------------------------------------------------------------------------------|
498. | 498 489 05jun2019 5 6 2019 2019w23 2019m6 Wednesday |
499. | 499 634 06jun2019 6 6 2019 2019w23 2019m6 Thursday |
500. | 500 587 07jun2019 7 6 2019 2019w23 2019m6 Friday |
501. | 501 994 08jun2019 8 6 2019 2019w23 2019m6 Saturday |
502. | 502 517 09jun2019 9 6 2019 2019w23 2019m6 Sunday |
|-------------------------------------------------------------------------------|
503. | 503 791 10jun2019 10 6 2019 2019w23 2019m6 Monday |
504. | 504 1188 11jun2019 11 6 2019 2019w24 2019m6 Tuesday |
505. | 505 792 12jun2019 12 6 2019 2019w24 2019m6 Wednesday |
506. | 506 654 13jun2019 13 6 2019 2019w24 2019m6 Thursday |
507. | 507 538 14jun2019 14 6 2019 2019w24 2019m6 Friday |
|-------------------------------------------------------------------------------|
508. | 508 778 15jun2019 15 6 2019 2019w24 2019m6 Saturday |
509. | 509 692 16jun2019 16 6 2019 2019w24 2019m6 Sunday |
510. | 510 712 17jun2019 17 6 2019 2019w24 2019m6 Monday |
511. | 511 660 18jun2019 18 6 2019 2019w25 2019m6 Tuesday |
512. | 512 673 19jun2019 19 6 2019 2019w25 2019m6 Wednesday |
|-------------------------------------------------------------------------------|
513. | 513 761 20jun2019 20 6 2019 2019w25 2019m6 Thursday |
514. | 514 618 21jun2019 21 6 2019 2019w25 2019m6 Friday |
515. | 515 545 22jun2019 22 6 2019 2019w25 2019m6 Saturday |
516. | 516 490 23jun2019 23 6 2019 2019w25 2019m6 Sunday |
517. | 517 979 24jun2019 24 6 2019 2019w25 2019m6 Monday |
|-------------------------------------------------------------------------------|
518. | 518 844 25jun2019 25 6 2019 2019w26 2019m6 Tuesday |
519. | 519 769 26jun2019 26 6 2019 2019w26 2019m6 Wednesday |
520. | 520 755 27jun2019 27 6 2019 2019w26 2019m6 Thursday |
521. | 521 442 28jun2019 28 6 2019 2019w26 2019m6 Friday |
522. | 522 486 29jun2019 29 6 2019 2019w26 2019m6 Saturday |
|-------------------------------------------------------------------------------|
523. | 523 580 30jun2019 30 6 2019 2019w26 2019m6 Sunday |
524. | 524 491 01jul2019 1 7 2019 2019w26 2019m7 Monday |
525. | 525 723 02jul2019 2 7 2019 2019w27 2019m7 Tuesday |
526. | 526 617 03jul2019 3 7 2019 2019w27 2019m7 Wednesday |
527. | 527 414 04jul2019 4 7 2019 2019w27 2019m7 Thursday |
|-------------------------------------------------------------------------------|
528. | 528 522 05jul2019 5 7 2019 2019w27 2019m7 Friday |
529. | 529 395 06jul2019 6 7 2019 2019w27 2019m7 Saturday |
530. | 530 689 07jul2019 7 7 2019 2019w27 2019m7 Sunday |
531. | 531 865 08jul2019 8 7 2019 2019w27 2019m7 Monday |
532. | 532 688 09jul2019 9 7 2019 2019w28 2019m7 Tuesday |
|-------------------------------------------------------------------------------|
533. | 533 416 10jul2019 10 7 2019 2019w28 2019m7 Wednesday |
534. | 534 811 11jul2019 11 7 2019 2019w28 2019m7 Thursday |
535. | 535 528 12jul2019 12 7 2019 2019w28 2019m7 Friday |
536. | 536 604 13jul2019 13 7 2019 2019w28 2019m7 Saturday |
537. | 537 559 14jul2019 14 7 2019 2019w28 2019m7 Sunday |
|-------------------------------------------------------------------------------|
538. | 538 513 15jul2019 15 7 2019 2019w28 2019m7 Monday |
539. | 539 622 16jul2019 16 7 2019 2019w29 2019m7 Tuesday |
540. | 540 666 17jul2019 17 7 2019 2019w29 2019m7 Wednesday |
541. | 541 696 18jul2019 18 7 2019 2019w29 2019m7 Thursday |
542. | 542 487 19jul2019 19 7 2019 2019w29 2019m7 Friday |
|-------------------------------------------------------------------------------|
543. | 543 538 20jul2019 20 7 2019 2019w29 2019m7 Saturday |
544. | 544 487 21jul2019 21 7 2019 2019w29 2019m7 Sunday |
545. | 545 781 22jul2019 22 7 2019 2019w29 2019m7 Monday |
546. | 546 495 23jul2019 23 7 2019 2019w30 2019m7 Tuesday |
547. | 547 670 24jul2019 24 7 2019 2019w30 2019m7 Wednesday |
|-------------------------------------------------------------------------------|
548. | 548 599 25jul2019 25 7 2019 2019w30 2019m7 Thursday |
549. | 549 629 26jul2019 26 7 2019 2019w30 2019m7 Friday |
550. | 550 571 27jul2019 27 7 2019 2019w30 2019m7 Saturday |
551. | 551 625 28jul2019 28 7 2019 2019w30 2019m7 Sunday |
552. | 552 587 29jul2019 29 7 2019 2019w30 2019m7 Monday |
|-------------------------------------------------------------------------------|
553. | 553 623 30jul2019 30 7 2019 2019w31 2019m7 Tuesday |
554. | 554 502 31jul2019 31 7 2019 2019w31 2019m7 Wednesday |
555. | 555 760 01aug2019 1 8 2019 2019w31 2019m8 Thursday |
556. | 556 407 02aug2019 2 8 2019 2019w31 2019m8 Friday |
557. | 557 295 03aug2019 3 8 2019 2019w31 2019m8 Saturday |
|-------------------------------------------------------------------------------|
558. | 558 399 04aug2019 4 8 2019 2019w31 2019m8 Sunday |
559. | 559 563 05aug2019 5 8 2019 2019w31 2019m8 Monday |
560. | 560 459 06aug2019 6 8 2019 2019w32 2019m8 Tuesday |
561. | 561 547 07aug2019 7 8 2019 2019w32 2019m8 Wednesday |
562. | 562 594 08aug2019 8 8 2019 2019w32 2019m8 Thursday |
|-------------------------------------------------------------------------------|
563. | 563 500 09aug2019 9 8 2019 2019w32 2019m8 Friday |
564. | 564 328 10aug2019 10 8 2019 2019w32 2019m8 Saturday |
565. | 565 411 11aug2019 11 8 2019 2019w32 2019m8 Sunday |
566. | 566 368 12aug2019 12 8 2019 2019w32 2019m8 Monday |
567. | 567 620 13aug2019 13 8 2019 2019w33 2019m8 Tuesday |
|-------------------------------------------------------------------------------|
568. | 568 394 14aug2019 14 8 2019 2019w33 2019m8 Wednesday |
569. | 569 652 15aug2019 15 8 2019 2019w33 2019m8 Thursday |
570. | 570 763 16aug2019 16 8 2019 2019w33 2019m8 Friday |
571. | 571 535 17aug2019 17 8 2019 2019w33 2019m8 Saturday |
572. | 572 627 18aug2019 18 8 2019 2019w33 2019m8 Sunday |
|-------------------------------------------------------------------------------|
573. | 573 645 19aug2019 19 8 2019 2019w33 2019m8 Monday |
574. | 574 493 20aug2019 20 8 2019 2019w34 2019m8 Tuesday |
575. | 575 607 21aug2019 21 8 2019 2019w34 2019m8 Wednesday |
576. | 576 602 22aug2019 22 8 2019 2019w34 2019m8 Thursday |
577. | 577 434 23aug2019 23 8 2019 2019w34 2019m8 Friday |
|-------------------------------------------------------------------------------|
578. | 578 516 24aug2019 24 8 2019 2019w34 2019m8 Saturday |
579. | 579 515 25aug2019 25 8 2019 2019w34 2019m8 Sunday |
580. | 580 455 26aug2019 26 8 2019 2019w34 2019m8 Monday |
581. | 581 629 27aug2019 27 8 2019 2019w35 2019m8 Tuesday |
582. | 582 470 28aug2019 28 8 2019 2019w35 2019m8 Wednesday |
|-------------------------------------------------------------------------------|
583. | 583 584 29aug2019 29 8 2019 2019w35 2019m8 Thursday |
584. | 584 453 30aug2019 30 8 2019 2019w35 2019m8 Friday |
585. | 585 538 31aug2019 31 8 2019 2019w35 2019m8 Saturday |
586. | 586 449 01sep2019 1 9 2019 2019w35 2019m9 Sunday |
587. | 587 417 02sep2019 2 9 2019 2019w35 2019m9 Monday |
|-------------------------------------------------------------------------------|
588. | 588 416 03sep2019 3 9 2019 2019w36 2019m9 Tuesday |
589. | 589 553 04sep2019 4 9 2019 2019w36 2019m9 Wednesday |
590. | 590 613 05sep2019 5 9 2019 2019w36 2019m9 Thursday |
591. | 591 717 06sep2019 6 9 2019 2019w36 2019m9 Friday |
592. | 592 417 07sep2019 7 9 2019 2019w36 2019m9 Saturday |
|-------------------------------------------------------------------------------|
593. | 593 534 08sep2019 8 9 2019 2019w36 2019m9 Sunday |
594. | 594 559 09sep2019 9 9 2019 2019w36 2019m9 Monday |
595. | 595 525 10sep2019 10 9 2019 2019w37 2019m9 Tuesday |
596. | 596 646 11sep2019 11 9 2019 2019w37 2019m9 Wednesday |
597. | 597 768 12sep2019 12 9 2019 2019w37 2019m9 Thursday |
|-------------------------------------------------------------------------------|
598. | 598 482 13sep2019 13 9 2019 2019w37 2019m9 Friday |
599. | 599 382 14sep2019 14 9 2019 2019w37 2019m9 Saturday |
600. | 600 666 15sep2019 15 9 2019 2019w37 2019m9 Sunday |
601. | 601 574 16sep2019 16 9 2019 2019w37 2019m9 Monday |
602. | 602 576 17sep2019 17 9 2019 2019w38 2019m9 Tuesday |
|-------------------------------------------------------------------------------|
603. | 603 788 18sep2019 18 9 2019 2019w38 2019m9 Wednesday |
604. | 604 582 19sep2019 19 9 2019 2019w38 2019m9 Thursday |
605. | 605 607 20sep2019 20 9 2019 2019w38 2019m9 Friday |
606. | 606 614 21sep2019 21 9 2019 2019w38 2019m9 Saturday |
607. | 607 621 22sep2019 22 9 2019 2019w38 2019m9 Sunday |
|-------------------------------------------------------------------------------|
608. | 608 732 23sep2019 23 9 2019 2019w38 2019m9 Monday |
609. | 609 691 24sep2019 24 9 2019 2019w39 2019m9 Tuesday |
610. | 610 749 25sep2019 25 9 2019 2019w39 2019m9 Wednesday |
611. | 611 479 26sep2019 26 9 2019 2019w39 2019m9 Thursday |
612. | 612 588 27sep2019 27 9 2019 2019w39 2019m9 Friday |
|-------------------------------------------------------------------------------|
613. | 613 639 28sep2019 28 9 2019 2019w39 2019m9 Saturday |
614. | 614 481 29sep2019 29 9 2019 2019w39 2019m9 Sunday |
615. | 615 691 30sep2019 30 9 2019 2019w39 2019m9 Monday |
616. | 616 654 01oct2019 1 10 2019 2019w40 2019m10 Tuesday |
617. | 617 501 02oct2019 2 10 2019 2019w40 2019m10 Wednesday |
|-------------------------------------------------------------------------------|
618. | 618 467 03oct2019 3 10 2019 2019w40 2019m10 Thursday |
619. | 619 733 04oct2019 4 10 2019 2019w40 2019m10 Friday |
620. | 620 508 05oct2019 5 10 2019 2019w40 2019m10 Saturday |
621. | 621 559 06oct2019 6 10 2019 2019w40 2019m10 Sunday |
622. | 622 935 07oct2019 7 10 2019 2019w40 2019m10 Monday |
|-------------------------------------------------------------------------------|
623. | 623 659 08oct2019 8 10 2019 2019w41 2019m10 Tuesday |
624. | 624 799 09oct2019 9 10 2019 2019w41 2019m10 Wednesday |
625. | 625 581 10oct2019 10 10 2019 2019w41 2019m10 Thursday |
626. | 626 574 11oct2019 11 10 2019 2019w41 2019m10 Friday |
627. | 627 474 12oct2019 12 10 2019 2019w41 2019m10 Saturday |
|-------------------------------------------------------------------------------|
628. | 628 721 13oct2019 13 10 2019 2019w41 2019m10 Sunday |
629. | 629 757 14oct2019 14 10 2019 2019w41 2019m10 Monday |
630. | 630 508 15oct2019 15 10 2019 2019w42 2019m10 Tuesday |
631. | 631 588 16oct2019 16 10 2019 2019w42 2019m10 Wednesday |
632. | 632 858 17oct2019 17 10 2019 2019w42 2019m10 Thursday |
|-------------------------------------------------------------------------------|
633. | 633 926 18oct2019 18 10 2019 2019w42 2019m10 Friday |
634. | 634 874 19oct2019 19 10 2019 2019w42 2019m10 Saturday |
635. | 635 706 20oct2019 20 10 2019 2019w42 2019m10 Sunday |
636. | 636 1082 21oct2019 21 10 2019 2019w42 2019m10 Monday |
637. | 637 719 22oct2019 22 10 2019 2019w43 2019m10 Tuesday |
|-------------------------------------------------------------------------------|
638. | 638 877 23oct2019 23 10 2019 2019w43 2019m10 Wednesday |
639. | 639 767 24oct2019 24 10 2019 2019w43 2019m10 Thursday |
640. | 640 596 25oct2019 25 10 2019 2019w43 2019m10 Friday |
641. | 641 653 26oct2019 26 10 2019 2019w43 2019m10 Saturday |
642. | 642 665 27oct2019 27 10 2019 2019w43 2019m10 Sunday |
|-------------------------------------------------------------------------------|
643. | 643 698 28oct2019 28 10 2019 2019w43 2019m10 Monday |
644. | 644 833 29oct2019 29 10 2019 2019w44 2019m10 Tuesday |
645. | 645 594 30oct2019 30 10 2019 2019w44 2019m10 Wednesday |
646. | 646 724 31oct2019 31 10 2019 2019w44 2019m10 Thursday |
647. | 647 701 01nov2019 1 11 2019 2019w44 2019m11 Friday |
|-------------------------------------------------------------------------------|
648. | 648 559 02nov2019 2 11 2019 2019w44 2019m11 Saturday |
649. | 649 683 03nov2019 3 11 2019 2019w44 2019m11 Sunday |
650. | 650 636 04nov2019 4 11 2019 2019w44 2019m11 Monday |
651. | 651 779 05nov2019 5 11 2019 2019w45 2019m11 Tuesday |
652. | 652 837 06nov2019 6 11 2019 2019w45 2019m11 Wednesday |
|-------------------------------------------------------------------------------|
653. | 653 602 07nov2019 7 11 2019 2019w45 2019m11 Thursday |
654. | 654 508 08nov2019 8 11 2019 2019w45 2019m11 Friday |
655. | 655 747 09nov2019 9 11 2019 2019w45 2019m11 Saturday |
656. | 656 640 10nov2019 10 11 2019 2019w45 2019m11 Sunday |
657. | 657 622 11nov2019 11 11 2019 2019w45 2019m11 Monday |
|-------------------------------------------------------------------------------|
658. | 658 675 12nov2019 12 11 2019 2019w46 2019m11 Tuesday |
659. | 659 1476 13nov2019 13 11 2019 2019w46 2019m11 Wednesday |
+-------------------------------------------------------------------------------+
For the year of 2018, please get it there
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To avoid future compromise on your bitcoin, I think you can apply the steps guide by @LoyceV. How to lose your Bitcoins with CTRL-C CTRL-VCopying part of your bitcoin address, and manually type the rest. Doing double or tripple checks after you finish copy & paste & type the whole address. Doing this carefully before clicking on send button and / or confirm button/link from your email will help you safe. More details can be found in the given thread.
It is a little off-topic but I think the lesson of sending bitcoin to bitcoin-A/B/C address and lose bitcoin is a painful lesson and if you are interested, please see the story: Sent BTC to BCH address. And the answer. You have to be careful when choosing ticker of crypto currency on exchanges, make sure you choose BTC, not BCH or whatever B- or BT- coins. To recap, please carefully check: - Bitcoin address - Ticker of cryptocurrency you want to withdraw or send. |
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