XMR nonstandrad fees update with Exodus Mobile txs

Monero-Nonstandard-Fees/code/Exodus-txs-release-fix-plot.R

@@ -6,22 +6,25 @@ library(ggplot2)
 
 fee.clusters <- read.csv("Monero-Nonstandard-Fees/data/fee-clusters-by-day.csv", stringsAsFactors = FALSE)
 
-exodus <- data.frame(block_timestamp_date = fee.clusters$block_timestamp_date, exodus.txs = fee.clusters$X24_34_44_fee, stringsAsFactors = FALSE)
+exodus <- data.frame(block_timestamp_date = fee.clusters$block_timestamp_date,
+  exodus.desktop.txs = fee.clusters$X24_34_44_fee,
+  exodus.mobile.txs = fee.clusters$X98_109_fee_per_byte, stringsAsFactors = FALSE)
 
-exodus$Week <- factor(c(rep(NA, 4), paste0("Week starting ",
-  rep(exodus$block_timestamp_date[-(1:4)][seq(1, nrow(exodus) - 4, by = 7)], each = 7))))
-# Note: If data newer than 2023-10-25, then must change this
+exodus$Week <- factor(c(rep(NA, 5), paste0("Week starting ",
+  rep(exodus$block_timestamp_date[-(1:5)][seq(1, nrow(exodus) - 5, by = 7)], each = 7))))
+# Note: Must change the "5" here if data does not end on a Thursday
 
-exodus$day.of.week <- lubridate::wday(as.Date(exodus$block_timestamp_date), label = TRUE, week_start = "Thursday")
+exodus$day.of.week <- lubridate::wday(as.Date(exodus$block_timestamp_date), label = TRUE, week_start = "Friday")
+# Note: Must change the "week_start" here if data does not end on a Thursday
 
-exodus <- exodus[(nrow(exodus) - 7*8 + 1):nrow(exodus), ]
+exodus <- exodus[(nrow(exodus) - 7*10 + 1):nrow(exodus), ]
 
 
 png("Monero-Nonstandard-Fees/images/Exodus-txs-after-fix-release.png", width = 800, height = 800)
 
 theme_set(theme_gray(base_size = 18))
 
-ggplot(exodus, aes(x = day.of.week, y = exodus.txs, col = Week, group = Week)) +
+ggplot(exodus, aes(x = day.of.week, y = exodus.desktop.txs, col = Week, group = Week)) +
   geom_line() + geom_point() + expand_limits(y = 0) +
   labs(title = "Number of Monero transactions with 0.00024060, 0.00034245, or\n0.00044430 XMR total fee (suspected Exodus Desktop wallet transactions)",
     x = "Day of week (by UTC time)", y = "Number of transactions per day",
@@ -30,3 +33,19 @@ ggplot(exodus, aes(x = day.of.week, y = exodus.txs, col = Week, group = Week)) +
   theme(plot.caption = element_text(color = "red"))
 
 dev.off()
+
+
+png("Exodus-Mobile-txs-after-fix-release.png", width = 800, height = 800)
+
+theme_set(theme_gray(base_size = 18))
+
+ggplot(exodus, aes(x = day.of.week, y = exodus.mobile.txs, col = Week, group = Week)) +
+  geom_line() + geom_point() + expand_limits(y = 0) +
+  labs(title = "Number of Monero transactions with fee per byte between\n98 and 109 nanoneros (suspected Exodus Mobile wallet transactions)",
+    x = "Day of week (by UTC time)", y = "Number of transactions per day",
+    caption = "New version of Exodus Mobile with standard fees was released Tuesday 2023-11-07") +
+  annotate("text", y = 0, x = 6, label = "github.com/Rucknium", size = 6) +
+  theme(plot.caption = element_text(color = "red"))
+
+dev.off()
+

Monero-Nonstandard-Fees/code/monero-nonstandard-fees.R

@@ -138,7 +138,6 @@ raw.fee.sort.prevalence.day <- fees[block_height >= v16.fork.height & n.outputs
 names(raw.fee.sort.prevalence.day)[-(1:2)] <- paste0(names(fee.freq), "_per_byte")
 
 
-
 write.csv(fee.clusters.week, file = "fee-clusters-by-week.csv", row.names = FALSE)
 write.csv(fee.clusters.day, file = "fee-clusters-by-day.csv", row.names = FALSE)
 

Monero-Nonstandard-Fees/data/fee-clusters-by-day.csv

@@ -437,3 +437,39 @@
 2023-10-23,21537,364,1233,59,263,64,1.69011468635372,5.72503134141245,0.27394716070019,1.22115429261271,0.297163021776478
 2023-10-24,21922,326,1266,76,232,85,1.48709059392391,5.77502052732415,0.346683696742998,1.05829760058389,0.387738345041511
 2023-10-25,20542,403,1055,63,269,57,1.96183429072145,5.13581929704995,0.306688735274073,1.30951221886866,0.27748028429559
+2023-10-26,19748,389,1122,52,185,87,1.96981972858011,5.6815880089123,0.263317804334616,0.936803726959692,0.440550941867531
+2023-10-27,19253,331,1057,74,157,51,1.71921259024568,5.49005349815613,0.384355684828338,0.815457331324988,0.264893782787098
+2023-10-28,16559,259,958,68,149,35,1.56410411256718,5.78537351289329,0.410652817199106,0.899812790627453,0.211365420617187
+2023-10-29,17063,315,941,55,179,42,1.84609974799273,5.51485670749575,0.322334876633652,1.04905350758952,0.246146633065698
+2023-10-30,22010,386,1308,80,217,92,1.75374829622899,5.94275329395729,0.36347114947751,0.985915492957746,0.417991821899137
+2023-10-31,20425,342,1071,80,191,106,1.67441860465116,5.24357405140759,0.391676866585067,0.935128518971848,0.518971848225214
+2023-11-01,20574,344,1245,16,205,86,1.67201322056965,6.05132691746865,0.0777680567706814,0.996403227374356,0.418003305142413
+2023-11-02,22168,357,1269,79,231,62,1.61042944785276,5.72446770119091,0.356369541681703,1.04204258390473,0.279682425117286
+2023-11-03,18519,351,1031,79,180,61,1.89535072088126,5.56725525136346,0.426588908688374,0.971974728657055,0.329391435822669
+2023-11-04,16700,220,870,44,108,47,1.31736526946108,5.20958083832335,0.263473053892216,0.646706586826347,0.281437125748503
+2023-11-05,16475,241,817,57,156,25,1.46282245827011,4.95902883156297,0.34597875569044,0.946889226100152,0.151745068285281
+2023-11-06,21655,394,1109,106,240,54,1.81944123758947,5.12121911798661,0.489494343107827,1.1082890787347,0.249365042715308
+2023-11-07,22368,407,999,91,198,66,1.81956366237482,4.4662017167382,0.406831187410587,0.88519313304721,0.295064377682403
+2023-11-08,20071,356,779,69,173,65,1.77370335309651,3.88122166309601,0.343779582482188,0.861940112600269,0.323850331323801
+2023-11-09,20197,265,610,66,172,63,1.31207605089865,3.02025053225727,0.326781205129475,0.851611625488934,0.311927513987226
+2023-11-10,21173,348,604,80,161,72,1.64360270155387,2.8526897463751,0.377839701506636,0.760402399282105,0.340055731355972
+2023-11-11,16671,233,489,67,126,46,1.39763661448024,2.93323735828685,0.401895507168136,0.755803491092316,0.27592825865275
+2023-11-12,17258,240,443,59,140,41,1.39065940433422,2.56692548383358,0.34187043689883,0.811217985861629,0.237570981573763
+2023-11-13,21275,274,567,45,190,47,1.28789659224442,2.66509988249119,0.211515863689777,0.893066980023502,0.220916568742656
+2023-11-14,21329,203,533,47,176,38,0.951755825402035,2.49894509822308,0.220357260068451,0.825167612171222,0.178161188991514
+2023-11-15,20816,269,506,84,170,49,1.29227517294389,2.43082244427364,0.403535741737125,0.816679477325134,0.235395849346656
+2023-11-16,25856,304,553,74,157,75,1.17574257425743,2.13876856435644,0.286200495049505,0.607209158415842,0.290068069306931
+2023-11-17,31413,270,481,29,122,93,0.859516760576831,1.53121319199058,0.0923184668767708,0.388374239964346,0.296055773087575
+2023-11-18,23674,231,351,45,119,38,0.975753991720875,1.48263918222523,0.190081946439132,0.502661147250148,0.160513643659711
+2023-11-19,19802,222,411,62,122,41,1.12109887890112,2.07554792445208,0.313099686900313,0.616099383900616,0.207049792950207
+2023-11-20,24337,395,611,60,131,64,1.62304310309405,2.51058059744422,0.246538192875046,0.538275054443851,0.262974072400049
+2023-11-21,24081,333,528,98,166,56,1.38283293883144,2.19259997508409,0.406959843860305,0.689340143681741,0.232548482205888
+2023-11-22,23380,368,502,70,117,53,1.57399486740804,2.14713430282293,0.29940119760479,0.500427715996578,0.226689478186484
+2023-11-23,21840,308,471,65,142,82,1.41025641025641,2.15659340659341,0.297619047619048,0.65018315018315,0.375457875457875
+2023-11-24,22207,321,489,63,123,78,1.44549016076012,2.20200837573738,0.283694330616472,0.553879407394065,0.35124059981087
+2023-11-25,19316,265,342,66,84,85,1.37191965210188,1.77055290950507,0.341685649202733,0.434872644439843,0.440049699730793
+2023-11-26,21216,260,427,82,110,62,1.22549019607843,2.01263197586727,0.386500754147813,0.518476621417798,0.292232277526395
+2023-11-27,24488,386,540,68,129,72,1.57628226069912,2.20516171185887,0.277687030382228,0.526788631166286,0.294021561581183
+2023-11-28,23719,399,512,80,116,74,1.68219570808213,2.15860702390489,0.337282347485138,0.489059403853451,0.311986171423753
+2023-11-29,23336,373,550,88,153,74,1.59838875557079,2.35687350017141,0.377099760027425,0.655639355502228,0.317106616386699
+2023-11-30,23356,332,537,101,124,68,1.42147628018496,2.29919506764857,0.432437061140606,0.530912827538962,0.29114574413427

Monero-Nonstandard-Fees/data/fee-clusters-by-week.csv

@@ -62,4 +62,9 @@
 "2023-40",146317,2034,6985,465,4013,442,1.39013238379682,4.77388136716855,0.317803126089245,2.74267515052933,0.302083831680529
 "2023-41",139272,2146,6798,516,2833,386,1.54086966511574,4.88109598483543,0.370498018266414,2.03414900338905,0.277155494284565
 "2023-42",144861,2082,7409,436,1683,383,1.43723983680908,5.11455809362078,0.300978179082017,1.16180338393356,0.264391382083515
-"2023-43",64001,1093,3554,198,764,206,1.70778581584663,5.5530382337776,0.309370166091155,1.19373134794769,0.321869970781707
+"2023-43",136624,2387,7632,447,1434,421,1.74713081157044,5.58613420775266,0.327175313268533,1.04959597142523,0.308144981847992
+"2023-44",136871,2241,7611,435,1288,479,1.63730812224649,5.56071044998575,0.317817506995638,0.941032066690533,0.349964565174507
+"2023-45",139393,2243,5033,538,1210,407,1.60911953971864,3.61065476745604,0.385959122768001,0.868049328158516,0.29198022856241
+"2023-46",164165,1773,3402,386,1056,381,1.08001096457832,2.0723053025919,0.235129290652697,0.643255261474736,0.232083574452532
+"2023-47",156377,2250,3370,504,873,480,1.43883051855452,2.15504837667944,0.322298036156212,0.558266241199153,0.306950510624964
+"2023-48",94899,1490,2139,337,522,288,1.57009030653642,2.25397527898081,0.355114384766963,0.550058483229539,0.30348054247147