I didn’t mean that. I mean merit the OP (Opening Post) vs merit in replies. That would make sense why most newbie create threads. As thread/opening post receive more merits than normal replies, they tend to create more thread.
I don't think so. - Quality topics help you earn more merit than quality posts. I see this point because topics are hardly to be covered by others. With posts, old posts will be covered by other posts.
- Shit topics don't hep you earn a single merit or if earn some, there will no significant difference with shit posts.
- It is general picture but for some knowledgeable users like o_e_l_e_o who does not need to create topics to earn thousand of merits
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I can find one reason behind the creation of such threads. Although I don't have any data, it’s easy to speculate that the ratio of merit between post:thread is quite high. If the maximum number of merits in a thread is 100 (assume), it will be 20 for a post.
I can not answered your question but some stats for you. There are 82141 topics received merits and the for those merited topics, the median of received merits is 3, interquartile range is 1 to 7. By that I meant 50% of merited topics have their receive merits range from 1 to 7. Min and max values are 1 and 61984. The max value belong to Wall Observer thread. variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
emerit_topic | 82141.0 9.9 235.8 3.0 1.0 7.0 1.0 61984.0
----------------------------------------------------------------------------------------------
About posts received merits inside each thread, here you go: variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
nposts | 82141.0 3.3 105.2 1.0 1.0 2.0 1.0 29399.0
----------------------------------------------------------------------------------------------
Median: 1 Interquartile range: 1 - 2 Min - max: 1 - 29399 What does it mean? 50% of merited threads have number of merited posts range from 1 to 2 (with the median is at 1). This one does not take into account how many posts are made in each thread (I only have data for merited topics and merited posts). Top-50 most merit-earned topics month, year (2018 - 2020)That’s why newbies motivated to create new thread but; the problem is almost all the threads are unnecessary and surprisingly some of high rank member still post their.
There's nothing wrong with creating thread IMO but they should be enough informative, they should be on good discussion. Apart from that, I guess this board should be moderated heavily specially on creating threads.
- They get motivation from merited topics and try to do the same thing.
- They do neither know Search nor how to use it effectively
- They know Search and how to use but skip all and create topics because they like to do it.
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UpdatesWith plots (period from 2013 to 2020; and in 2020 only) Periods: - 29/4/2013 - 9/12/2020
- In 2020 only (01/1/2020 - 09/12/2020)
This part is important. As I promised in OP, here is results when I calculated the difference in a different method - p_oc = [ close ( of end date of every month) - open (of start date of every month) ] / open (of start date of every month) *100
- open_s: open of start date of every month
- close_e: close of end date of every month
Results are clear so you are free to interpret them by yourself. PlotsSummarySummary for variables: p_oc
by categories of: m (m)
m | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
1 | 7.0 -5.9 21.7 -7.7 -27.6 9.9 -32.1 30.0
2 | 7.0 4.1 19.7 11.4 -8.0 18.5 -33.7 21.5
3 | 7.0 -12.3 13.5 -9.2 -25.1 -4.0 -32.9 6.5
4 | 7.0 17.8 16.6 25.8 -2.0 31.9 -3.3 34.5
5 | 8.0 21.0 32.4 13.8 -4.8 49.8 -19.0 69.6
6 | 8.0 4.4 18.4 5.5 -9.0 20.2 -25.0 26.8
7 | 8.0 6.9 13.0 8.4 -6.8 18.4 -8.6 23.8
8 | 8.0 4.4 28.2 -6.2 -14.0 15.3 -19.2 63.8
9 | 8.0 -5.9 8.2 -6.8 -10.8 0.5 -19.0 5.9
10 | 8.0 21.5 23.8 21.4 3.1 41.1 -12.7 53.8
11 | 8.0 67.4 159.1 15.7 -5.7 50.6 -36.4 453.9
12 | 7.0 3.1 25.5 -5.0 -15.4 29.2 -33.2 38.8
---------+--------------------------------------------------------------------------------
Total | 91.0 11.0 52.4 2.6 -8.0 21.5 -36.4 453.9
------------------------------------------------------------------------------------------
+----------------------------------------------------------------+
| month start open_s end close_e p_oc |
|----------------------------------------------------------------|
1. | 2013m5 01may2013 139 31may2013 129 -7.19 |
2. | 2013m6 01jun2013 128.82 30jun2013 96.61 -25 |
3. | 2013m7 01jul2013 97.51 31jul2013 106.09 8.8 |
4. | 2013m8 01aug2013 106.21 31aug2013 135.35 27.44 |
5. | 2013m9 01sep2013 135.14 30sep2013 133 -1.58 |
6. | 2013m10 01oct2013 132.68 31oct2013 204 53.75 |
7. | 2013m11 01nov2013 203.9 30nov2013 1129.43 453.91 |
8. | 2013m12 01dec2013 1128.92 31dec2013 754.01 -33.21 |
|----------------------------------------------------------------|
9. | 2014m1 01jan2014 754.97 31jan2014 829.92 9.93 |
10. | 2014m2 01feb2014 828.61 28feb2014 549.26 -33.71 |
11. | 2014m3 01mar2014 549.92 31mar2014 457 -16.9 |
12. | 2014m4 01apr2014 457 30apr2014 447.64 -2.05 |
13. | 2014m5 01may2014 447.63 31may2014 623.68 39.33 |
14. | 2014m6 01jun2014 623.69 30jun2014 639.8 2.58 |
15. | 2014m7 01jul2014 641.39 31jul2014 586.23 -8.6 |
16. | 2014m8 01aug2014 586.2 31aug2014 477.76 -18.5 |
17. | 2014m9 01sep2014 477.79 30sep2014 386.94 -19.01 |
18. | 2014m10 01oct2014 387.43 31oct2014 338.32 -12.68 |
19. | 2014m11 01nov2014 338.65 30nov2014 378.05 11.63 |
20. | 2014m12 01dec2014 378.25 31dec2014 320.19 -15.35 |
|----------------------------------------------------------------|
21. | 2015m1 01jan2015 320.43 31jan2015 217.46 -32.13 |
22. | 2015m2 01feb2015 216.87 28feb2015 254.26 17.24 |
23. | 2015m3 01mar2015 254.28 31mar2015 244.22 -3.96 |
24. | 2015m4 01apr2015 244.22 30apr2015 236.15 -3.3 |
25. | 2015m5 01may2015 235.94 31may2015 230.19 -2.44 |
26. | 2015m6 01jun2015 230.23 30jun2015 263.07 14.26 |
27. | 2015m7 01jul2015 263.35 31jul2015 284.65 8.09 |
28. | 2015m8 01aug2015 284.69 31aug2015 230.06 -19.19 |
29. | 2015m9 01sep2015 230.26 30sep2015 236.06 2.52 |
30. | 2015m10 01oct2015 236 31oct2015 314.17 33.12 |
31. | 2015m11 01nov2015 315.01 30nov2015 377.32 19.78 |
32. | 2015m12 01dec2015 377.41 31dec2015 430.57 14.09 |
|----------------------------------------------------------------|
33. | 2016m1 01jan2016 430.72 31jan2016 368.77 -14.38 |
34. | 2016m2 01feb2016 369.35 29feb2016 437.7 18.51 |
35. | 2016m3 01mar2016 437.92 31mar2016 416.73 -4.84 |
36. | 2016m4 01apr2016 416.76 30apr2016 448.32 7.57 |
37. | 2016m5 01may2016 448.48 31may2016 531.39 18.49 |
38. | 2016m6 01jun2016 531.11 30jun2016 673.34 26.78 |
39. | 2016m7 01jul2016 672.52 31jul2016 624.68 -7.11 |
40. | 2016m8 01aug2016 624.6 31aug2016 575.47 -7.87 |
41. | 2016m9 01sep2016 575.55 30sep2016 609.73 5.94 |
42. | 2016m10 01oct2016 609.93 31oct2016 700.97 14.93 |
43. | 2016m11 01nov2016 701.34 30nov2016 745.69 6.32 |
44. | 2016m12 01dec2016 746.05 31dec2016 963.74 29.18 |
|----------------------------------------------------------------|
45. | 2017m1 01jan2017 963.66 31jan2017 970.4 .7 |
46. | 2017m2 01feb2017 970.94 28feb2017 1179.97 21.53 |
47. | 2017m3 01mar2017 1180.04 31mar2017 1071.79 -9.17 |
48. | 2017m4 01apr2017 1071.71 30apr2017 1347.89 25.77 |
49. | 2017m5 01may2017 1348.3 31may2017 2286.41 69.58 |
50. | 2017m6 01jun2017 2288.33 30jun2017 2480.84 8.41 |
51. | 2017m7 01jul2017 2492.6 31jul2017 2875.34 15.36 |
52. | 2017m8 01aug2017 2871.3 31aug2017 4703.39 63.81 |
53. | 2017m9 01sep2017 4701.76 30sep2017 4338.71 -7.72 |
54. | 2017m10 01oct2017 4341.05 31oct2017 6468.4 49.01 |
55. | 2017m11 01nov2017 6440.97 30nov2017 10233.6 58.88 |
56. | 2017m12 01dec2017 10198.6 31dec2017 14156.4 38.81 |
|----------------------------------------------------------------|
57. | 2018m1 01jan2018 14112.2 31jan2018 10221.1 -27.57 |
58. | 2018m2 01feb2018 10237.3 28feb2018 10397.9 1.57 |
59. | 2018m3 01mar2018 10385 31mar2018 6973.53 -32.85 |
60. | 2018m4 01apr2018 7003.06 30apr2018 9240.55 31.95 |
61. | 2018m5 01may2018 9251.47 31may2018 7494.17 -18.99 |
62. | 2018m6 01jun2018 7500.7 30jun2018 6404 -14.62 |
63. | 2018m7 01jul2018 6411.68 31jul2018 7780.44 21.35 |
64. | 2018m8 01aug2018 7769.04 31aug2018 7037.58 -9.42 |
65. | 2018m9 01sep2018 7044.81 30sep2018 6625.56 -5.95 |
66. | 2018m10 01oct2018 6619.85 31oct2018 6317.61 -4.57 |
67. | 2018m11 01nov2018 6318.14 30nov2018 4017.27 -36.42 |
68. | 2018m12 01dec2018 4024.46 31dec2018 3742.7 -7 |
|----------------------------------------------------------------|
69. | 2019m1 01jan2019 3746.71 31jan2019 3457.79 -7.71 |
70. | 2019m2 01feb2019 3460.55 28feb2019 3854.79 11.39 |
71. | 2019m3 01mar2019 3853.76 31mar2019 4105.4 6.53 |
72. | 2019m4 01apr2019 4105.36 30apr2019 5350.73 30.34 |
73. | 2019m5 01may2019 5350.91 31may2019 8574.5 60.24 |
74. | 2019m6 01jun2019 8573.84 30jun2019 10817.16 26.16 |
75. | 2019m7 01jul2019 10796.93 31jul2019 10085.63 -6.59 |
76. | 2019m8 01aug2019 10077.44 31aug2019 9630.66 -4.43 |
77. | 2019m9 01sep2019 9630.59 30sep2019 8293.87 -13.88 |
78. | 2019m10 01oct2019 8299.72 31oct2019 9199.58 10.84 |
79. | 2019m11 01nov2019 9193.99 30nov2019 7569.63 -17.67 |
80. | 2019m12 01dec2019 7571.62 31dec2019 7193.6 -4.99 |
|----------------------------------------------------------------|
81. | 2020m1 01jan2020 7194.89 31jan2020 9350.53 29.96 |
82. | 2020m2 01feb2020 9346.36 29feb2020 8599.51 -7.99 |
83. | 2020m3 01mar2020 8599.76 31mar2020 6438.64 -25.13 |
84. | 2020m4 01apr2020 6437.32 30apr2020 8658.55 34.51 |
85. | 2020m5 01may2020 8672.78 31may2020 9461.06 9.09 |
86. | 2020m6 01jun2020 9463.61 30jun2020 9137.99 -3.44 |
87. | 2020m7 01jul2020 9145.99 31jul2020 11323.47 23.81 |
88. | 2020m8 01aug2020 11322.57 31aug2020 11680.82 3.16 |
89. | 2020m9 01sep2020 11679.32 30sep2020 10787.62 -7.63 |
90. | 2020m10 01oct2020 10785.01 31oct2020 13780.99 27.78 |
91. | 2020m11 01nov2020 13780.99 30nov2020 19625.84 42.41 |
92. | 2020m12 01dec2020 19633.77 31dec2020 . . |
+----------------------------------------------------------------+
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It's weekend and today is Sunday that usually gives you opportunities to move your bitcoin at lower fee rate. There is less than 2.6 MB in mempool and you have probability to get confirmation for your transaction within next 3 to 6 block with fee rate at 1 sat/vbyte. To make sure if you are in hurry, you can choose the fee rate at 2 - 3 sat/vbyte. If you are not in a hurry, there is chances for 1 sat/vbyte. In the next days till the end of December, you will probably see wild movements of bitcoin so make sure to take advantage of low fee rates today. |
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32. Posting multiple posts in a row (excluding bumps and reserved posts by the thread starter) is not allowed.
Reserved posts tend to be allowed for thread starter (author) as the rule presents. I am not sure (just my rule interpretation).
Me- Character limits: if I think OP exceeds the limit, I will make some reserved posts
- I use Reserved posts when I feel that I will have more updates for my topics. Those updates will be supplementary for OPs. Sometimes I have clear plans that how many posts I will made to support OPs. Sometimes, I don't have clear plan, just know I will have a few more updates.
- Reserved posts will prevent unexpected breaks between OP and my updates if someone join my threads and leave replies.
- Of course, if don't have update at the ends, those reserved posts should be deleted. Honestly, I never mind to do it (my bad).
The others might have other reasons but theirs will have some common reasons with me (not all, certainly).
Cons- I see some people use Reserved when they apply in signature campaigns that is not necessary. In my opinion, they can post the dummy application post (without detail) and edit it with details later. Most of campaigns as I know not "First come, first serve" campaign so they don't have to hurry with Reserved posts.
- Some spammers have their creative post style: Make reserved posts to get enough post quota before the deadline. They will return to edit their Reserved posts to shitposts.
Posting reserve? (genius shitposters) |
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Update 2020w49ABSTRACT- Period: 2018w4 - 2020w49 11dec2020 02:41:22 (GMT time).
- Observed weeks: 149
- Incomple weeks: 2018w4, 2020w50.
- The last merit transaction is at 11dec2020 02:41:22 (GMT time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+
| rank_total username userid total |
|-------------------------------------------------------|
1. | 1 theymos 35 6975 |
2. | 2 LoyceV 459836 6227 |
3. | 3 o_e_l_e_o 1188543 5275 |
4. | 4 suchmoon 234771 4974 |
5. | 5 fillippone 1852120 4634 |
|-------------------------------------------------------|
6. | 6 DdmrDdmr 1582324 4571 |
7. | 7 El duderino_ 1067333 4386 |
8. | 8 Last of the V8s 479624 3885 |
9. | 9 gmaxwell 11425 3665 |
10. | 10 mikeywith 2033515 3317 |
|-------------------------------------------------------|
11. | 11 Ratimov 2627711 3025 |
12. | 12 LFC_Bitcoin 379487 3013 |
13. | 13 nutildah 317618 2861 |
14. | 14 1miau 2143453 2783 |
15. | 15 The Pharmacist 487418 2754 |
|-------------------------------------------------------|
16. | 16 HCP 867786 2569 |
17. | 17 achow101 290195 2565 |
18. | 18 JayJuanGee 252510 2511 |
19. | 19 TryNinja 557798 2484 |
20. | 20 Hhampuz 881377 2469 |
|-------------------------------------------------------|
21. | 21 xhomerx10 120694 2449 |
22. | 22 VB1001 1138727 2384 |
23. | 23 pooya87 379147 2363 |
24. | 24 satoshi 3 2360 |
25. | 25 TheBeardedBaby 1291828 2211 |
|-------------------------------------------------------|
26. | 26 bitmover 1554927 2100 |
27. | 27 nullius 976210 2081 |
28. | 28 hilariousetc 397737 2032 |
29. | 29 zasad@ 2654005 1972 |
30. | 30 bob123 579628 1967 |
|-------------------------------------------------------|
31. | 31 gentlemand 155345 1954 |
32. | 32 tranthidung 1292764 1949 |
33. | 33 abhiseshakana 1878246 1936 |
34. | 34 DireWolfM14 2003859 1906 |
35. | 35 philipma1957 64507 1882 |
|-------------------------------------------------------|
36. | 36 Toxic2040 239406 1849 |
37. | 37 Lauda 101872 1793 |
38. | 38 mocacino 405464 1792 |
39. | 39 qwk 24140 1785 |
40. | 40 HairyMaclairy 181806 1771 |
|-------------------------------------------------------|
41. | 41 BobLawblaw 569455 1768 |
42. | 42 Steamtyme 1112531 1757 |
43. | 43 Vod 30747 1748 |
44. | 44 marlboroza 787736 1719 |
45. | 45 xtraelv 897509 1689 |
|-------------------------------------------------------|
46. | 46 BitCryptex 1169179 1687 |
47. | 47 yogg 140827 1686 |
48. | 48 krogothmanhattan 1000199 1640 |
49. | 49 CryptopreneurBrainboss 1052091 1619 |
50. | 50 jojo69 49008 1613 |
|-------------------------------------------------------|
51. | 51 witcher_sense 1433865 1606 |
52. | 52 ETFbitcoin 359716 1601 |
53. | 53 Coolcryptovator 1980983 1580 |
54. | 54 nc50lc 1237156 1580 |
55. | 55 yahoo62278 355846 1566 |
|-------------------------------------------------------|
56. | 56 Jet Cash 698159 1563 |
57. | 57 lovesmayfamilis 1982152 1550 |
58. | 58 Rikafip 2658890 1536 |
59. | 59 roycilik 1051955 1524 |
60. | 60 hugeblack 1059082 1517 |
|-------------------------------------------------------|
61. | 61 mk4 886521 1490 |
62. | 62 morvillz7z 1825672 1488 |
63. | 63 Veleor 1177936 1487 |
64. | 64 DarkStar_ 507936 1484 |
65. | 65 OmegaStarScream 375981 1482 |
|-------------------------------------------------------|
66. | 66 Coding Enthusiast 879277 1480 |
67. | 67 joniboni 1275282 1461 |
68. | 68 mole0815 1424178 1452 |
69. | 69 Husna QA 1827294 1445 |
70. | 70 mu_enrico 1574226 1444 |
|-------------------------------------------------------|
71. | 71 Lakai01 1724800 1424 |
72. | 72 Carlton Banks 64205 1404 |
73. | 73 taikuri13 1855828 1397 |
74. | 74 LeGaulois 507856 1397 |
75. | 75 Plutosky 1237522 1389 |
|-------------------------------------------------------|
76. | 76 minerjones 346731 1379 |
77. | 77 bullrun2020bro 2744352 1370 |
78. | 78 tvplus006 1311641 1363 |
79. | 79 asche 1580039 1362 |
80. | 80 dkbit98 1410401 1355 |
|-------------------------------------------------------|
81. | 81 stompix 164749 1338 |
82. | 82 coinlocket$ 1339716 1334 |
83. | 83 tyKiwanuka 1025255 1315 |
84. | 84 GazetaBitcoin 1285797 1306 |
85. | 85 TMAN 98986 1305 |
|-------------------------------------------------------|
86. | 86 Goran_ 1039323 1251 |
87. | 87 JSRAW 1210969 1242 |
88. | 88 infofront 41175 1237 |
89. | 89 khaled0111 1012655 1217 |
90. | 90 Lafu 805820 1215 |
|-------------------------------------------------------|
91. | 91 Kalemder 487377 1207 |
92. | 92 wwzsocki 131333 1201 |
93. | 93 actmyame 465017 1186 |
94. | 94 masulum 1283017 1186 |
95. | 95 Bthd 1836948 1179 |
|-------------------------------------------------------|
96. | 96 Xal0lex 1068464 1175 |
97. | 97 Royse777 366632 1168 |
98. | 98 Piggy 188198 1159 |
99. | 99 efialtis 2597426 1159 |
100. | 100 SaltySpitoon 38894 1148 |
+-------------------------------------------------------+
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 37 32 23 55 2 115 |
2. | 2 Ratimov 2627711 35 31 17 48 0 132 |
3. | 3 o_e_l_e_o 1188543 33 27 20 47 0 101 |
4. | 4 suchmoon 234771 29 25 18 43 0 148 |
5. | 5 El duderino_ 1067333 27 22 17 39 0 100 |
|------------------------------------------------------------------------------------------|
6. | 6 fillippone 1852120 26 51 2 53 0 141 |
7. | 7 DdmrDdmr 1582324 25 25 16 41 0 106 |
8. | 8 bullrun2020bro 2744352 24 14 18 32 1 98 |
9. | 9 Last of the V8s 479624 23 26 11 37 0 118 |
10. | 10 zasad@ 2654005 23 27 12 39 0 73 |
|------------------------------------------------------------------------------------------|
11. | 11 mikeywith 2033515 21 32 1 33 0 92 |
12. | 12 LFC_Bitcoin 379487 18 22 7 29 0 73 |
13. | 13 Rikafip 2658890 17.5 19.5 11 30.5 0 100 |
14. | 14 theymos 35 17 44 7 51 0 1328 |
15. | 15 JayJuanGee 252510 16 16 7 23 0 54 |
|------------------------------------------------------------------------------------------|
16. | 16 nutildah 317618 16 24 4 28 0 94 |
17. | 17 1miau 2143453 15 22 4 26 0 100 |
18. | 18 gmaxwell 11425 15 27 5 32 0 178 |
19. | 19 achow101 290195 14 15 6 21 0 77 |
20. | 20 The Pharmacist 487418 14 18 7 25 0 93 |
|------------------------------------------------------------------------------------------|
21. | 21 pooya87 379147 13 15 7 22 0 48 |
22. | 22 HCP 867786 13 18 5 23 0 128 |
23. | 23 xhomerx10 120694 12 14 6 20 0 121 |
24. | 24 TryNinja 557798 12 15 6 21 0 173 |
25. | 25 VB1001 1138727 12 26 0 26 0 98 |
|------------------------------------------------------------------------------------------|
26. | 26 BobLawblaw 569455 10 10 5 15 0 57 |
27. | 27 gentlemand 155345 10 13 5 18 0 74 |
28. | 28 philipma1957 64507 10 13 5 18 0 55 |
29. | 29 HairyMaclairy 181806 10 15 2 17 0 56 |
30. | 30 TheBeardedBaby 1291828 10 20 4 24 0 52 |
|------------------------------------------------------------------------------------------|
31. | 31 Hhampuz 881377 10 20 4 24 0 92 |
32. | 32 ETFbitcoin 359716 9 10 4 14 0 50 |
33. | 33 mk4 886521 9 10 4 14 0 52 |
34. | 34 mocacino 405464 9 12 4 16 0 62 |
35. | 35 bitmover 1554927 9 13 5 18 0 127 |
|------------------------------------------------------------------------------------------|
36. | 36 bob123 579628 9 16 3 19 0 68 |
37. | 37 efialtis 2597426 9 18 3 21 0 55 |
38. | 38 Toxic2040 239406 9 21 0 21 0 105 |
39. | 39 jojo69 49008 8 9 4 13 0 102 |
40. | 40 marlboroza 787736 8 11 3 14 0 79 |
|------------------------------------------------------------------------------------------|
41. | 41 Coolcryptovator 1980983 8 11 3 14 0 64 |
42. | 42 nc50lc 1237156 8 12 2 14 0 68 |
43. | 43 qwk 24140 8 13 2 15 0 88 |
44. | 44 abhiseshakana 1878246 8 17 2 19 0 73 |
45. | 45 tranthidung 1292764 8 17 1 18 0 98 |
|------------------------------------------------------------------------------------------|
46. | 46 hilariousetc 397737 8 19 1 20 0 90 |
47. | 47 taikuri13 1855828 7 9 4 13 0 36 |
48. | 48 Goran_ 1039323 7 9 3 12 0 36 |
49. | 49 LeGaulois 507856 7 10 3 13 0 64 |
50. | 50 Carlton Banks 64205 7 11 2 13 0 76 |
|------------------------------------------------------------------------------------------|
51. | 51 mu_enrico 1574226 7 11 2 13 0 78 |
52. | 52 Vod 30747 7 11 2 13 0 158 |
53. | 53 BitCryptex 1169179 7 12 3 15 0 126 |
54. | 54 Plutosky 1237522 7 12 2 14 0 43 |
55. | 55 Jet Cash 698159 7 12 2 14 0 65 |
|------------------------------------------------------------------------------------------|
56. | 56 OmegaStarScream 375981 7 13 2 15 0 43 |
57. | 57 yogg 140827 7 13 1 14 0 91 |
58. | 58 Steamtyme 1112531 7 14 2 16 0 115 |
59. | 59 CryptopreneurBrainboss 1052091 7 14 1 15 0 81 |
60. | 60 DireWolfM14 2003859 7 17 0 17 0 84 |
|------------------------------------------------------------------------------------------|
61. | 61 stompix 164749 6 9 3 12 0 62 |
62. | 62 Lafu 805820 6 9 2 11 0 41 |
63. | 63 asche 1580039 6 10 2 12 0 50 |
64. | 64 DarkStar_ 507936 6 10 2 12 0 78 |
65. | 65 Husna QA 1827294 6 10 2 12 0 62 |
|------------------------------------------------------------------------------------------|
66. | 66 infofront 41175 6 10 2 12 0 74 |
67. | 67 joniboni 1275282 6 11 3 14 0 54 |
68. | 68 hugeblack 1059082 6 12 2 14 0 62 |
69. | 69 tvplus006 1311641 6 13 1 14 0 42 |
70. | 70 minerjones 346731 6 13 1 14 0 67 |
|------------------------------------------------------------------------------------------|
71. | 71 morvillz7z 1825672 6 13 1 14 0 58 |
72. | 72 khaled0111 1012655 6 13 0 13 0 42 |
73. | 73 Lakai01 1724800 6 14 1 15 0 63 |
74. | 74 krogothmanhattan 1000199 6 15 1 16 0 77 |
75. | 75 lovesmayfamilis 1982152 6 17 0 17 0 45 |
|------------------------------------------------------------------------------------------|
76. | 76 witcher_sense 1433865 6 17 0 17 0 76 |
77. | 77 Xal0lex 1068464 5 9 1 10 0 116 |
78. | 78 mole0815 1424178 5 10 2 12 0 73 |
79. | 79 yahoo62278 355846 5 10 2 12 0 130 |
80. | 80 Coding Enthusiast 879277 5 12 0 12 0 116 |
|------------------------------------------------------------------------------------------|
81. | 81 roycilik 1051955 5 14 2 16 0 48 |
82. | 82 Veleor 1177936 5 14 0 14 0 90 |
83. | 83 wwzsocki 131333 4 9 1 10 0 70 |
84. | 84 coinlocket$ 1339716 4 10 1 11 0 98 |
85. | 85 actmyame 465017 4 10 1 11 0 66 |
|------------------------------------------------------------------------------------------|
86. | 86 Royse777 366632 4 11 0 11 0 59 |
87. | 87 Lauda 101872 4 13 1 14 0 238 |
88. | 88 JSRAW 1210969 4 13 0 13 0 76 |
89. | 89 xtraelv 897509 4 17 0 17 0 104 |
90. | 90 satoshi 3 3 14 1 15 0 482 |
|------------------------------------------------------------------------------------------|
91. | 91 masulum 1283017 2 11 0 11 0 61 |
92. | 92 dkbit98 1410401 2 13 0 13 0 63 |
93. | 93 tyKiwanuka 1025255 2 13 0 13 0 107 |
94. | 94 TMAN 98986 1 5 0 5 0 275 |
95. | 95 Kalemder 487377 1 7 0 7 0 161 |
|------------------------------------------------------------------------------------------|
96. | 96 SaltySpitoon 38894 1 9 0 9 0 94 |
97. | 97 Bthd 1836948 1 9 0 9 0 92 |
98. | 98 Piggy 188198 1 12 0 12 0 85 |
99. | 99 nullius 976210 1 17 0 17 0 180 |
100. | 100 GazetaBitcoin 1285797 0 11 0 11 0 82 |
+------------------------------------------------------------------------------------------+
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Screw predictions. Even the so called "experts" get it wrong A LOT, and let's not forget that drawing on charts won't be able to predict events in the first place.
There are many uncertainty factors so all models are useless. They can be right for a while but there are time-points when they are useless and naively believe in models or predictions can kill you. Such a trader who say price will 100% move to this way is never a good trader. They are kinda traders contribute to flash crashes and huge liquidations on the market. The market often goes to the opposite direction of what most of people are thinking it will move. Since you're interested in trading though, why not continue holding and simply allocate a certain percentage for your trading? You don't necessarily need to be all-in on trading or all-in on holding. It's possible to do both.
Personally, the proportion for trading should be somewhere from 10 to 20%, the rest are for long term investment. Trading has its very special beauty and actively trading makes you really live in the market despite of it can distract you from the general situation. Look at chart in both narrow and wide windows even you are trading. |
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Something is not clear to me.
Why you sort the "most profitable" days with Open prices higher than Close and "Bloodiest" the day where Close is Higher than Open?
I guess you made the assumption of a long investor, so I think you should reverse the title of the table (most probably), or the title of the column, as it is not very clear by now.
Let me check my code, @fil and I will give you updates soon. 
Update: I mis-calculated it. Initially, my formula is: p_oc = (open - close)/open*100
It should be as of now p_oc = (close - open)/open*100
Thank you for your head up. OP will be updated soon. |
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Privacy and anonymity has no worth - ZEC - ZEN - DASH the crypto is dead now!
What is your definition of dead coin? Please define yours. Every crypto hits it ath, ZEC - ZEN and DASH are the cryptos which never hitting to its ATH. At the launch of ZEC network, 1 ZEC had more than a BTC and now it is completely dead even in 2017s bull run, ZEC could only reached to 0.10 BTC. Hence this proves that privacy and anonymity has no worth in cryptocurrency.
Your statement is extremely fault. What is this? "Every crypto hits its ath". You have to be clear and differentiate between - Reach past ATH
- Make a new ATH
These 2 situations are very different. With the bull run recently, Bitcoin moves to its all time high range. Some said it moved closely to its past all time high in 2017. Some said it made a new all time high. Honestly, the highest price of bitcoin is in 2017 on BitMEX ($20093)and even the King, bitcoin has not yet made its new record ATH. Altcoins, I only discussed about old altcoins that have their ages from 4 and above, have not yet reached their past 2017 or 2018 All time highs. For young altcoins, I don't care about them much and even they reached their new all time highs recent months, it does not make much sense. |
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Most profitable and bloodiest days in 2020 (I sorted them out chronologically and here I use cut-offs at 5% or -5%) Profitable +---------------------------------------------------+
| year date open close p_oc |
|---------------------------------------------------|
2441. | 2020 03jan2020 6984.43 7344.88 5.160765 |
2445. | 2020 07jan2020 7768.68 8163.69 5.084648 |
2452. | 2020 14jan2020 8140.93 8827.76 8.436751 |
2466. | 2020 28jan2020 8912.52 9358.59 5.004982 |
2511. | 2020 13mar2020 5017.83 5563.71 10.87881 |
2517. | 2020 19mar2020 5245.42 6191.19 18.0304 |
2521. | 2020 23mar2020 5831.37 6416.31 10.03092 |
2528. | 2020 30mar2020 5925.54 6429.84 8.510616 |
2535. | 2020 06apr2020 6788.05 7271.78 7.1262 |
2545. | 2020 16apr2020 6640.45 7116.8 7.17346 |
2558. | 2020 29apr2020 7806.71 8801.04 12.73686 |
2566. | 2020 07may2020 9261.9 9951.52 7.445773 |
2572. | 2020 13may2020 8805.39 9269.99 5.276314 |
2591. | 2020 01jun2020 9463.61 10167.27 7.435429 |
2647. | 2020 27jul2020 9905.22 10990.87 10.96038 |
2706. | 2020 24sep2020 10227.48 10745.55 5.065471 |
2733. | 2020 21oct2020 11913.08 12823.69 7.643783 |
2748. | 2020 05nov2020 14133.73 15579.85 10.23169 |
2760. | 2020 17nov2020 16685.69 17645.41 5.751755 |
2773. | 2020 30nov2020 18178.32 19625.84 7.962892 |
+---------------------------------------------------+
Bloodiest +----------------------------------------------------+
| year date open close p_oc |
|----------------------------------------------------|
2488. | 2020 19feb2020 10143.8 9633.39 -5.031744 |
2495. | 2020 26feb2020 9338.29 8820.52 -5.544591 |
2506. | 2020 08mar2020 8908.21 8108.12 -8.98149 |
2510. | 2020 12mar2020 7913.62 4970.79 -37.1869 |
2512. | 2020 14mar2020 5573.08 5200.37 -6.687685 |
2514. | 2020 16mar2020 5385.23 5014.48 -6.884572 |
2520. | 2020 22mar2020 6185.56 5830.25 -5.744185 |
2527. | 2020 29mar2020 6245.62 5922.04 -5.180911 |
2539. | 2020 10apr2020 7303.82 6865.49 -6.00138 |
2569. | 2020 10may2020 9591.17 8756.43 -8.703214 |
2592. | 2020 02jun2020 10162.97 9529.8 -6.230167 |
2601. | 2020 11jun2020 9870.08 9321.78 -5.555173 |
2653. | 2020 02aug2020 11758.76 11053.61 -5.996806 |
2685. | 2020 03sep2020 11407.19 10245.3 -10.18559 |
2769. | 2020 26nov2020 18729.84 17150.62 -8.431572 |
+----------------------------------------------------+
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@o_e_l_e_o raised an important factor to assess quality of the news you read. On the side of statistics and research (academic, crypto, trading), "Garbage in, garbage out" and with a same quality of data, bad variable definition and bad analytical method can cause bad results. Some decisive factors: - Data quality: depends on data collection or data scraping
- Variable definitions: such ones need to be presented clearly and avoid misleading intention
- Analytical methods: it is important but it is a step after data collection/ scraping and define variables
- Data interpretations: from results, from articles
Bitcoin blockchain is public so any analysis is reproducible with same data, same variable definitions, and analytic methods. The forum, websites are not academic place to publish researches so people have their reasons to hide those details but such vague articles should be read with questionable point of view. Reproducible research. When you publish article on top journals, you have to give editors your dataset, variable definitions, dofile (or script), then they will be able to reproduce your analysis and know you are liar (fake data, fake results, ie.) or not. Read to have info, and try to verify them, don't trust on what they present.
The article is from bitcoin[cash][dot]com. |
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could the patrol page be narrowed down to a specific section (e.g. meta or reputation (not very good examples, but still...) ? ) ??
You have customization for patrol page. Please see Hidden pages/ features on the forum | | | | | | | | | | | | | | | | | | | | | | | | | Patrol | | | | | | | | | Recent posts | | | Last 100 recent posts (from all accounts) | | | | | | Patrol | | | Last 200 recent posts (from Newbie accounts) | | | | | | No-bounty patrol | | | Last 200 recent posts (from Newbie accounts (outside bounty threads) | | | | | | Customized recent posts | | | Last 100 recent posts (from all accounts) in a specific board (ex: 1 ~ Bitcoin discussion) | | | | | | No-bounty customized patrol | | | Last 200 recent posts (from Newbie accounts (outside bounty threads) (ex: 1 ~ Bitcoin discussion) | | |
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@tranthidung is the Mastering Bitcoin book available online the exact same as the one that is sold as a paperback? There seems to be several versions and editions of it. Which one should I go for?
Same contents if you are reading same edition of that book. It has only 2 versions if I don't miss a newest version. The link I gave you is English version of the Mastering bitcoin 2 nd edition and it is given by the author the book, Andreas Annatopolous. For translations (pdf files), as said you them with risks and bias information (probably can have from translation process). Try with English version if you can. Additionally, you can try it there (with free trial): https://www.oreilly.com/library/view/mastering-bitcoin-2nd/9781491954379/- Click on Table of contents, and choose the chapter you want to read
I would prefer to read it on Github.
Mastering Bitcoin have many technical information, while The Internet of Money doesn't contain technical information. The book have it's own website at https://theinternetofmoney.infoI've read the Little Bitcoin Book[1] and it pretty much covered most of the important parts crunched into a pretty small book(as to not bore the reader). [1] https://littlebitcoinbook.comI don't know that website and that book. Thank you both. |
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Bloodiest days (between open and close prices) I listed to top 50 bloodiest days only and pay attention on days in December over years. We are in the December, calendar day. I am not here to give you any financial advice to buy or sell, long or short bitcoin. It is stats and data interpretation is for your side. Please use it with risk, and verify my information (if you can), don't trust me. +---------------------------------------------+
| open close p_oc date |
|---------------------------------------------|
1. | 7913.62 4970.79 -37.1869 12mar2020 |
2. | 678.2 522.7 -22.92834 18dec2013 |
3. | 223.89 178.1 -20.45201 14jan2015 |
4. | 1042.38 829.45 -20.42729 06dec2013 |
5. | 880.33 705.97 -19.80621 16dec2013 |
6. | 580.26 471.24 -18.78813 27mar2014 |
7. | 3875.37 3154.95 -18.58971 14sep2017 |
8. | 257.93 211.08 -18.16384 18aug2015 |
9. | 712.76 584.61 -17.9794 19nov2013 |
10. | 442.26 365.18 -17.42866 10apr2014 |
11. | 13836.1 11490.5 -16.95275 16jan2018 |
12. | 835.32 698.23 -16.41167 07dec2013 |
13. | 8270.54 6955.27 -15.90307 05feb2018 |
14. | 139 116.99 -15.83453 01may2013 |
15. | 267.39 225.86 -15.53162 13jan2015 |
16. | 1128.92 955.85 -15.33058 01dec2013 |
17. | 430.26 364.33 -15.32329 15jan2016 |
18. | 946.49 802 -15.26588 07jan2014 |
19. | 79.99 68.43 -14.45181 05jul2013 |
20. | 908.11 777.76 -14.35399 11jan2017 |
21. | 90.4 77.53 -14.23673 03jul2013 |
22. | 13017.12 11182.81 -14.09152 27jun2019 |
23. | 132.05 114.13 -13.57062 02oct2013 |
24. | 5620.78 4871.49 -13.33071 19nov2018 |
25. | 10896.65 9477.64 -13.02244 16jul2019 |
26. | 15898 13831.8 -12.9966 22dec2017 |
27. | 884.6 771.39 -12.79787 27jan2014 |
28. | 1156.73 1013.38 -12.39269 05jan2017 |
29. | 14681.9 12952.2 -11.78117 30dec2017 |
30. | 1099.69 973.82 -11.44595 18mar2017 |
+---------------------------------------------+
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Notes- Bitcoin 2017 - 2020. Better price not yet to come. Be careful read
- It is summarized stats. There are winners and losers in market, over days, months despite of how market moves.
- It seems more outliers in second half of each year
- For months, p is median of % of difference between open and close price over days in a month, then I takes median of each month stats (from month 1 to month 12, according to ordinal numbers). There are 4 months have median >= 30%: January, March, May and November. When talking about median (p50), please look at the interquartile range (p25 to p75).
- 3 months with extremely spikes are December, November and somewhat March, October (look at max values).
- You can expand the analysis with stat for open and end days of each months (I might or might not do it later)
- Data source: https://coinmarketcap.com/currencies/bitcoin/historical-data/
- Months: I will update with the difference between open price at the first day of every month and close price at the last day of every month. This idea comes from that topic Bitcoin pumps/ dumps and altcoin price actions (2013 - 2020) but unfortunately I have never done it.
MonthsSummary for variables: p
by categories of: m (Months)
m | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
1 | 7.0 43.2 23.9 36.1 23.6 73.4 18.2 76.9
2 | 7.0 31.0 19.5 20.1 18.6 54.6 18.5 64.0
3 | 7.0 39.1 28.8 36.0 9.2 68.0 8.6 83.5
4 | 8.0 27.1 15.1 29.0 15.2 39.2 4.0 46.1
5 | 8.0 37.3 22.7 37.3 18.7 54.2 6.1 71.9
6 | 8.0 31.3 18.5 26.8 18.0 39.7 12.4 69.3
7 | 8.0 31.1 16.0 28.7 18.2 42.1 12.6 57.8
8 | 8.0 30.0 19.7 27.4 17.1 33.6 10.7 73.5
9 | 8.0 23.2 15.5 18.2 12.8 30.7 7.3 55.1
10 | 8.0 35.6 25.0 29.0 21.1 45.6 6.3 87.2
11 | 8.0 93.0 145.5 39.2 31.2 72.4 9.1 449.0
12 | 8.0 41.2 38.4 29.3 18.3 53.9 6.1 120.2
---------+--------------------------------------------------------------------------------
Total | 93.0 38.6 48.5 30.0 18.2 45.4 4.0 449.0
------------------------------------------------------------------------------------------
  ] Most profitable days (between open and close prices) +------------------------------------------+
| open close p_oc date |
|------------------------------------------|
1. | 496.58 703.56 41.6811 18nov2013 |
2. | 519.06 691.96 33.31021 19dec2013 |
3. | 14266.1 17899.7 25.47017 07dec2017 |
4. | 2269.89 2817.6 24.12936 20jul2017 |
5. | 594.32 722.43 21.55573 21nov2013 |
6. | 11923.4 14291.5 19.86095 06dec2017 |
7. | 562.56 667.76 18.70023 03mar2014 |
8. | 176.9 209.84 18.62069 15jan2015 |
9. | 5245.42 6191.19 18.0304 19mar2020 |
10. | 4156.92 4879.88 17.39172 02apr2019 |
11. | 363.71 420.95 15.73781 11apr2014 |
12. | 7490.7 8660.7 15.61937 25oct2019 |
13. | 1932.62 2228.41 15.30513 17jul2017 |
14. | 805.73 928.1 15.18747 26nov2013 |
15. | 367.98 423.56 15.10408 12nov2014 |
16. | 3166.3 3637.52 14.88235 15sep2017 |
17. | 14036.6 16099.8 14.69872 26dec2017 |
18. | 98.1 112.5 14.6789 04may2013 |
19. | 697.31 795.87 14.13432 08dec2013 |
20. | 297.85 338.11 13.51687 08nov2013 |
21. | 6955.38 7889.25 13.42659 12apr2018 |
22. | 261.68 296.41 13.27194 07nov2013 |
23. | 3591.09 4065.2 13.2024 18sep2017 |
24. | 76.72 86.76 13.08655 10jul2013 |
25. | 6379.67 7204.77 12.93327 11may2019 |
26. | 360.97 407.37 12.85425 13nov2013 |
27. | 7267.96 8197.69 12.79217 19may2019 |
28. | 4829.58 5446.91 12.78227 12oct2017 |
29. | 7806.71 8801.04 12.73686 29apr2020 |
30. | 15477.2 17429.5 12.61404 05jan2018 |
+------------------------------------------+
Most profitable days (between close and low prices) +------------------------------------------+
| close low p_cl date |
|------------------------------------------|
1. | 703.56 494.94 42.15056 18nov2013 |
2. | 691.96 502.89 37.59669 19dec2013 |
3. | 5563.71 4106.98 35.46962 13mar2020 |
4. | 590.83 448.45 31.74936 20nov2013 |
5. | 7754 6048.26 28.20216 06feb2018 |
6. | 538.71 420.41 28.1392 25feb2014 |
7. | 584.61 456.39 28.09439 19nov2013 |
8. | 17899.7 14057.3 27.33384 07dec2017 |
9. | 722.43 577.29 25.14161 21nov2013 |
10. | 522.7 420.51 24.30144 18dec2013 |
11. | 2817.6 2269.89 24.12936 20jul2017 |
12. | 681.03 550.5 23.71117 10feb2014 |
13. | 97.75 79.1 23.57775 03may2013 |
14. | 3637.52 2946.62 23.4472 15sep2017 |
15. | 661.99 541.04 22.35509 14feb2014 |
16. | 112.5 92.5 21.62162 04may2013 |
17. | 14291.5 11923.4 19.86095 06dec2017 |
18. | 420.95 351.27 19.83659 11apr2014 |
19. | 955.85 801.82 19.21005 01dec2013 |
20. | 667.76 560.52 19.13223 03mar2014 |
21. | 11188.6 9402.29 18.99867 17jan2018 |
22. | 795.87 670.88 18.63075 08dec2013 |
23. | 209.84 176.9 18.62069 15jan2015 |
24. | 6191.19 5236.97 18.22084 19mar2020 |
25. | 326.62 277.24 17.81128 10nov2013 |
26. | 198.23 168.52 17.62996 24oct2013 |
27. | 4879.88 4155.32 17.43692 02apr2019 |
28. | 13831.8 11833 16.89174 22dec2017 |
29. | 15455.4 13226.6 16.85089 10dec2017 |
30. | 1045.11 897.11 16.49742 05dec2013 |
+------------------------------------------+
Most profitable days (between open and high prices) +--------------------------------------------+
| open high p_oh date |
|--------------------------------------------|
1. | 496.58 703.78 41.7254 18nov2013 |
2. | 519.06 707.23 36.25207 19dec2013 |
3. | 176.9 229.07 29.49124 15jan2015 |
4. | 2269.89 2900.7 27.79033 20jul2017 |
5. | 14266.1 17899.7 25.47017 07dec2017 |
6. | 562.56 702.91 24.94845 03mar2014 |
7. | 594.32 733.4 23.40154 21nov2013 |
8. | 403.66 495.56 22.76669 04nov2015 |
9. | 254.08 309.38 21.7648 26jan2015 |
10. | 5245.42 6329.74 20.67175 19mar2020 |
11. | 11923.4 14369.1 20.51177 06dec2017 |
12. | 363.71 429.77 18.16282 11apr2014 |
13. | 4156.92 4905.95 18.01887 02apr2019 |
14. | 3166.3 3733.45 17.91207 15sep2017 |
15. | 14036.6 16461.2 17.27341 26dec2017 |
16. | 98.1 115 17.22732 04may2013 |
17. | 11778.58 13796.49 17.13203 26jun2019 |
18. | 88.98 104 16.8802 12jul2013 |
19. | 367.98 429.72 16.77809 12nov2014 |
20. | 5017.83 5838.11 16.34731 13mar2020 |
21. | 261.68 304.17 16.23739 07nov2013 |
22. | 793.8 921.93 16.14135 09dec2013 |
23. | 7490.7 8691.54 16.03108 25oct2019 |
24. | 8667.58 10021.74 15.62328 26oct2019 |
25. | 361.87 417.9 15.48346 03nov2015 |
26. | 6971.18 8047.41 15.43828 13may2019 |
27. | 1932.62 2230.49 15.41276 17jul2017 |
28. | 805.73 928.54 15.24208 26nov2013 |
29. | 697.31 802.51 15.08655 08dec2013 |
30. | 601.17 691.72 15.06229 14feb2014 |
+--------------------------------------------+
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@Ratimov: You do a lot of good work but its actually too much! Just be yourself and don't try to impress everyone so hard going forward. Trust me, we're already impressed.
I said the same as yours. Ratimov indeed made lots of huge threads and he is knowledgeable and spent decent efforts and time to compiled those huge topics. With topics he simply shared, he is knowlegeable and selective to do so and I admired him for his selection process. I can learn from myself too. Don't do anything too much and too often, then people will don't feel values of what you are doing. Sometimes, it can cause side-effects, they feel annoying. Sometimes, they are jealous and many other reasons. Some notes - Learn (first): and I much appreciated all people helped and partially built up my adventure here. I spent my time definitely but you all have your contributions indirectly.
- Share: share things selectively and reduce the intensity. Some people who are unable to do what they do will feel uncomfortable with your achievements.
- Abuse: yes it is. Low quality members will look at reputable users and their works (mostly they pay attention on merits) and repeat with same styles. The more people do it, the more potential troubles you can get (as initiator).
I am impressed with Ratimov works BUT such the drama raises the need to revise the rule on plagiarsim and guide how to share documents better. |
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The DeFi tokens are repeating what stake/ masternode coins have in the past (2018 is the year of hundreds of stake/ MN coins. They were created on daily basis). Where there are games, there are participants and there are winners and losers. I don't say I am a winner or will be such winner if I join the game, but some points to note if you want to win - Entry and exit points (price and time): Join too early and exit super fastly after that can give you profits and safe (of course if you have internal info or the project you are invest in are not scam and fails in the egg)
- Accept high price at early phase but still later than the first one, but staking/ yielding rewards are still high. You can get lots of coins in a few days BUT you need to be very determinant to exit. Hesitation will cause stuck and losses.
- Wait patiently till the phase price was dropped too much, and inflation rate falls to acceptable rate: When you join, you have better safety and don't worry much about price crashes, just stake/ yield, get rewards and wait for price pumps to take profit. Again, when chances knock your doors, do it instantly, don't hesitate.
- Try to cash out and get your capital back first, you can be greed with the rest rewards. At least, don't lose your capital
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- Google translate can help, sure and I see this tool is improved a lot than 2 or 3 years ago. Nowadays, it translates smoothly and in some context, some phrase, the translation is good enough to understand.
- Fundamentally, posts if are released in very short can bring troubles to posters (burst-posting). Except it is for topic creators.
- Quality of the post: if the quality is zero or very low, there is unnecessary to spread it around multiple boards. Such efforts are considered as spamming or shilling projects.
- Repitition: If multi accounts are detected to do the same post contents over many local boards. I guess, no matter the content is -- but I believe quality is very low, ban hammer will be used
- Intention when translate original posts to local languages. You can link it with PMs. If PMs are used to advertise your services or unsolicited PMs, the sender can get troubles (temp ban) if receivers report it to moderators. Even the ban is applied, the ban-time will be different (the more PMs or the intensity -- same PMs within shorter period, can cause longer ban-time)
- Same as plagiarism. If intention stays behind plagiarism is bad, no second chance
There are multiple things will be considered by moderators.
ReferencesUnsolicited PMsSorry BitcoinFX, you are banned from posting or sending personal messages29. Sending unsolicited PMs, including but not limited to advertising and flood, is not allowed. You sent over 100 PMs with the same format: clear unsolicited bulk PMs. 4 people reported it, making it unwanted & unsolicited bulk PMs = spam. Most others would've been banned much longer.
PlagiarismPlagiarism is what gets people permabanned, not just copying. Plagiarism is copying with the intent of passing the work off as your own. In essentially all cases, plagiarism deserves a permaban because it usually proves definitively that the person is here for the wrong reasons: to fill up space in order to get paid, not to actually discuss or contribute. If someone was able to convince us that they were plagiarizing just to eg. impress people rather than to fill up space, then a lesser ban of a few months might instead be warranted. But this has never happened AFAICR. (Arguments based on plausible deniability aren't going to work; we don't need to prove that you had the motive we see in your actions.)
Posts in local boards while language proficiency is not good enoughMonths ago, in 2018 or 2019, one forum member asked that will his posts be deleted or he get banned if he makes posts in French local board just as to practice his French-learning process. He was learning French, I meant. I remembered Halab said it is fine if his posts are understandable somewhat. I can not find that topic but hope if Halab see this post, he can help to spot it. |
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