Data | CryptoAttack πŸ€–
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πŸ€– НСкоторыС Π΄Π°Π½Π½Ρ‹Π΅ ΠΈ ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊΠΈ ΠΏΠΎ ΠΊΡ€ΠΈΠΏΡ‚ΠΎ ΠΈΠ· @cryptoattackbot - ΠΏΠ΅Ρ€Π΅Π΄ΠΎΠ²Ρ‹Π΅ инструмСнты ΠΈ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π½Π° Π±Π°Π·Π΅ AIπŸ€–

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πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (5 min) #DTradingTwitter

#DOGE $0,1094 (1h: +10,46%, 24h: +11,72%)
tweet: 4137 +74%, +3,28 (Vol 24h: +363,65%, +10,95)
πŸ₯³ 36%, πŸ˜‘ 47%, 🀬 17%

#TON $2,6 (1h: -2,54%, 24h: +20,37%)
tweet: 511 +90%, +1,12 (Vol 24h: +578,37%, +3,39)
πŸ₯³ 48%, πŸ˜‘ 41%, 🀬 12%

#LEO $4,5 (1h: +0,21%, 24h: +2,69%)
tweet: 100 +58%, +1,59 (Vol 24h: +33,95%, +1,59)
πŸ₯³ 39%, πŸ˜‘ 53%, 🀬 8%

#CRV $0,6247 (1h: +2,11%, 24h: +7,76%)
tweet: 80 +62%, +2,04 (Vol 24h: +51,68%, +1,1)
πŸ₯³ 30%, πŸ˜‘ 52%, 🀬 18%

#SC $0,0098 (1h: +3,01%, 24h: +4,02%)
tweet: 56 +8%, +5,77 (Vol 24h: -24,64%, +1,05)
πŸ₯³ 34%, πŸ˜‘ 45%, 🀬 21%

#PNG $0,4555 (1h: -1,06%, 24h: -34,06%)
tweet: 357 +215%, +1,77 (Vol 24h: +255,27%, +3,88)
πŸ₯³ 33%, πŸ˜‘ 55%, 🀬 12%

#ELA $4,2 (1h: +1,15%, 24h: +0,71%)
tweet: 59 +30%, +6,67 (Vol 24h: -23,58%, +1,4)
πŸ₯³ 29%, πŸ˜‘ 59%, 🀬 12%

#REN $0,0885 (1h: +2,79%, 24h: +18,6%)
tweet: 22 -5%, +4,35 (Vol 24h: +189,82%, +4,46)
πŸ₯³ 36%, πŸ˜‘ 45%, 🀬 18%

#EWT $2,5 (1h: +0,12%, 24h: -6,04%)
tweet: 79 +18%, +4,48 (Vol 24h: +104,33%, +1,28)
πŸ₯³ 33%, πŸ˜‘ 43%, 🀬 24%

#AST $0,1157 (1h: +2,23%, 24h: +5,63%)
tweet: 17 +26%, +7,69 (Vol 24h: +91,99%, +2,82)
πŸ₯³ 18%, πŸ˜‘ 82%, 🀬 0%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (5 min) #DTradingTwitter

#DOGE $0,1811 (1h: +7,23%, 24h: +28,34%)
tweet: 8056 +167%, +1,93 (Vol 24h: +449,19%, +9,15)
πŸ₯³ 37%, πŸ˜‘ 50%, 🀬 13%

#SHIB $0 (1h: +16,97%, 24h: +54,47%)
tweet: 4192 +219%, +4,03 (Vol 24h: +732,78%, +26,96)
πŸ₯³ 36%, πŸ˜‘ 49%, 🀬 15%

#THETA $2,4 (1h: +4,09%, 24h: +1,22%)
tweet: 93 +14%, +2,44 (Vol 24h: +22,66%, +3,85)
πŸ₯³ 35%, πŸ˜‘ 51%, 🀬 14%

#SXP $0,476 (1h: -2,44%, 24h: +9,52%)
tweet: 50 +137%, +4,76 (Vol 24h: +1078,18%, +1,8)
πŸ₯³ 38%, πŸ˜‘ 44%, 🀬 18%

#BADGER $6,3 (1h: +4,88%, 24h: +13,67%)
tweet: 45 +54%, +3,45 (Vol 24h: +162,8%, +2,54)
πŸ₯³ 33%, πŸ˜‘ 53%, 🀬 13%

#UNFI $8,3 (1h: -2,05%, 24h: +5,46%)
tweet: 52 +269%, +7,14 (Vol 24h: +175,57%, +1,03)
πŸ₯³ 33%, πŸ˜‘ 63%, 🀬 4%

#HTR $0,0879 (1h: +0,43%, 24h: +2,67%)
tweet: 48 +40%, +2,94 (Vol 24h: +29,52%, +1,85)
πŸ₯³ 27%, πŸ˜‘ 60%, 🀬 12%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (30 min) #DTradingTwitter

#STX $3,4 (1h: -1,66%, 24h: +15,26%)
tweet: 657 +119%, +4,68 (Vol 24h: +96,84%, +2,77)
πŸ₯³ 59%, πŸ˜‘ 34%, 🀬 7%

πŸ†• #ORDI $65 (1h: +2,27%, 24h: +12,46%)
tweet: 123 -14%, +2,08 (Vol 24h: -23,1%, +2,78)
πŸ₯³ 37%, πŸ˜‘ 41%, 🀬 21%

#ZRX $0,9219 (1h: +1,1%, 24h: -17,77%)
tweet: 71 +84%, +2,56 (Vol 24h: +127,74%, +2,2)
πŸ₯³ 41%, πŸ˜‘ 41%, 🀬 18%

#FTT $2,1 (1h: +7,39%, 24h: +18,86%)
tweet: 24 -34%, +8,33 (Vol 24h: -28,38%, +12,65)
πŸ₯³ 33%, πŸ˜‘ 62%, 🀬 4%

#RPL $32 (1h: +9,7%, 24h: +18,7%)
tweet: 15 -12%, +5,88 (Vol 24h: +22,87%, +15,63)
πŸ₯³ 47%, πŸ˜‘ 53%, 🀬 0%

#RSR $0,0082 (1h: +8,14%, 24h: +51,31%)
tweet: 231 +105%, +19,47 (Vol 24h: +214,81%, +23,78)
πŸ₯³ 42%, πŸ˜‘ 50%, 🀬 8%

#ACH $0,0385 (1h: +0,38%, 24h: +16,27%)
tweet: 117 +110%, +3,57 (Vol 24h: -13,63%, +5,29)
πŸ₯³ 50%, πŸ˜‘ 43%, 🀬 8%

#ARK $1,1 (1h: +1,81%, 24h: +20,74%)
tweet: 25 +78%, +21,43 (Vol 24h: +43,07%, +14,77)
πŸ₯³ 44%, πŸ˜‘ 44%, 🀬 12%

#DUSK $0,4702 (1h: +4,98%, 24h: +62,75%)
tweet: 330 +524%, +35,85 (Vol 24h: +497,29%, +70,33)
πŸ₯³ 42%, πŸ˜‘ 45%, 🀬 12%

#STPT $0,0701 (1h: -3,33%, 24h: +19,28%)
tweet: 15 +152%, +33,33 (Vol 24h: +64,96%, +13,44)
πŸ₯³ 40%, πŸ˜‘ 53%, 🀬 7%

#BAKE $0,4176 (1h: +2,45%, 24h: +20,76%)
tweet: 29 -2%, +3,33 (Vol 24h: -19,66%, +2,4)
πŸ₯³ 21%, πŸ˜‘ 66%, 🀬 14%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

πŸ†• #LINK $17 (1h: +0,95%, 24h: +2,34%)
tweet: 1538 +19%, +3,33 (Vol 24h: +31,98%, +6)
πŸ₯³ 36%, πŸ˜‘ 49%, 🀬 15%

#XEC $0,0001 (1h: -2,04%, 24h: +5,31%)
tweet: 102 -14%, +4,2 (Vol 24h: +56,36%, +17,34)
πŸ₯³ 34%, πŸ˜‘ 57%, 🀬 9%

#TRB $125 (1h: +3,9%, 24h: +16,94%)
tweet: 145 +17%, +11,29 (Vol 24h: +34,52%, +11,9)
πŸ₯³ 41%, πŸ˜‘ 46%, 🀬 14%

#COTI $0,1371 (1h: +1,09%, 24h: +8,16%)
tweet: 151 +101%, +6,67 (Vol 24h: +215,01%, +5,01)
πŸ₯³ 50%, πŸ˜‘ 44%, 🀬 5%

#BLZ $0,3127 (1h: -1,95%, 24h: -13,34%)
tweet: 74 +209%, +33,33 (Vol 24h: +241,31%, +10,94)
πŸ₯³ 49%, πŸ˜‘ 36%, 🀬 15%

#UNFI $4 (1h: +1,03%, 24h: +6,43%)
tweet: 41 +179%, +6,67 (Vol 24h: +138,37%, +7,32)
πŸ₯³ 27%, πŸ˜‘ 56%, 🀬 17%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#DOGE $0,1669 (1h: +0,66%, 24h: +4,64%)
tweet: 10318 +216%, +27,06 (Vol 24h: +139,99%, +27,84)
πŸ₯³ 35%, πŸ˜‘ 46%, 🀬 19%

#SHIB $0 (1h: +0,63%, 24h: +0,33%)
tweet: 1325 +30%, +3,05 (Vol 24h: +21,27%, +5,29)
πŸ₯³ 37%, πŸ˜‘ 47%, 🀬 16%

#IOTX $0,0508 (1h: -0,58%, 24h: +1,31%)
tweet: 114 +45%, +3,8 (Vol 24h: +22,67%, +3,91)
πŸ₯³ 55%, πŸ˜‘ 39%, 🀬 6%

#RSR $0,0089 (1h: -1,6%, 24h: +9,16%)
tweet: 82 +15%, +9,86 (Vol 24h: +154,45%, +4,44)
πŸ₯³ 39%, πŸ˜‘ 54%, 🀬 7%

#AUDIO $0,2455 (1h: -2,7%, 24h: +49,9%)
tweet: 405 +413%, +29,11 (Vol 24h: +3058,02%, +47,21)
πŸ₯³ 39%, πŸ˜‘ 52%, 🀬 9%

#CHR $0,3466 (1h: -0,68%, 24h: +5,4%)
tweet: 67 +12%, +10 (Vol 24h: +25,11%, +8,49)
πŸ₯³ 27%, πŸ˜‘ 61%, 🀬 12%

#DUSK $0,3704 (1h: -1,87%, 24h: +9,21%)
tweet: 49 +42%, +20,59 (Vol 24h: +78,58%, +8,24)
πŸ₯³ 35%, πŸ˜‘ 61%, 🀬 4%

#DENT $0,0014 (1h: -0,26%, 24h: +0,24%)
tweet: 24 +69%, +7,14 (Vol 24h: +64,64%, +3,8)
πŸ₯³ 12%, πŸ˜‘ 88%, 🀬 0%

#REQ $0,1365 (1h: +0,39%, 24h: -0,49%)
tweet: 11 +51%, +14,29 (Vol 24h: -1,37%, +5,2)
πŸ₯³ 36%, πŸ˜‘ 45%, 🀬 18%

#KNC $0,6641 (1h: -1,52%, 24h: +11,06%)
tweet: 43 +194%, +13,33 (Vol 24h: +331,88%, +27,02)
πŸ₯³ 28%, πŸ˜‘ 67%, 🀬 5%

#ATLAS $0,0039 (1h: +1,92%, 24h: -0,33%)
tweet: 200 +419%, +12,82 (Vol 24h: +1,25%, +4,7)
πŸ₯³ 7%, πŸ˜‘ 90%, 🀬 4%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#LINK $19 (1h: +0,42%, 24h: +9,22%)
tweet: 1333 +1%, +6,97 (Vol 24h: +42,66%, +9,66)
πŸ₯³ 38%, πŸ˜‘ 51%, 🀬 11%

#JASMY $0,0272 (1h: +3,92%, 24h: +15,38%)
tweet: 1724 +601%, +4,47 (Vol 24h: +613,62%, +24,43)
πŸ₯³ 36%, πŸ˜‘ 55%, 🀬 9%

#ENJ $0,3796 (1h: +2,34%, 24h: +10,85%)
tweet: 42 +13%, +18,92 (Vol 24h: +54,37%, +29,57)
πŸ₯³ 31%, πŸ˜‘ 52%, 🀬 17%

#TWT $1,1 (1h: +0,24%, 24h: +1,98%)
tweet: 15 -3%, +20 (Vol 24h: -19,37%, +8,8)
πŸ₯³ 33%, πŸ˜‘ 67%, 🀬 0%

#ELF $0,5269 (1h: -0,23%, 24h: +1,3%)
tweet: 213 +253%, +5 (Vol 24h: -42,86%, +3,45)
πŸ₯³ 11%, πŸ˜‘ 87%, 🀬 1%

πŸ†• #AMP $0,0072 (1h: +3,11%, 24h: +4,01%)
tweet: 77 -16%, +11,96 (Vol 24h: -22,06%, +18,29)
πŸ₯³ 23%, πŸ˜‘ 64%, 🀬 13%

#API3 $3,1 (1h: -0,01%, 24h: +13,21%)
tweet: 90 +127%, +15 (Vol 24h: +224,63%, +5,42)
πŸ₯³ 47%, πŸ˜‘ 43%, 🀬 10%

#SPELL $0,001 (1h: +0,16%, 24h: +16,87%)
tweet: 153 +505%, +60 (Vol 24h: +598,03%, +23,51)
πŸ₯³ 16%, πŸ˜‘ 59%, 🀬 25%

#ELA $2,8 (1h: -0,12%, 24h: -1,78%)
tweet: 71 -4%, +5,41 (Vol 24h: +18,44%, +3,12)
πŸ₯³ 28%, πŸ˜‘ 63%, 🀬 8%

#HTR $0,0616 (1h: +3,28%, 24h: +8,41%)
tweet: 34 +76%, +15,79 (Vol 24h: +4,59%, +6,29)
πŸ₯³ 29%, πŸ˜‘ 65%, 🀬 6%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#AR $44 (1h: +0,17%, 24h: +13,68%)
tweet: 168 +91%, +30,68 (Vol 24h: +40,64%, +18,38)
πŸ₯³ 37%, πŸ˜‘ 52%, 🀬 11%

#JASMY $0,0311 (1h: +11,15%, 24h: +24,98%)
tweet: 673 +132%, +85,86 (Vol 24h: +186,99%, +113,12)
πŸ₯³ 32%, πŸ˜‘ 58%, 🀬 10%

#QNT $91 (1h: +0,81%, 24h: -0,36%)
tweet: 202 +36%, +6,04 (Vol 24h: +32,29%, +3,92)
πŸ₯³ 35%, πŸ˜‘ 49%, 🀬 16%

#ORDI $47 (1h: -0,38%, 24h: +15,79%)
tweet: 227 +160%, +16,09 (Vol 24h: +114,32%, +9,55)
πŸ₯³ 21%, πŸ˜‘ 62%, 🀬 17%

πŸ†• #LUNC $0,0001 (1h: +10,33%, 24h: +8,43%)
tweet: 285 +38%, +29,95 (Vol 24h: +132,08%, +135,98)
πŸ₯³ 28%, πŸ˜‘ 47%, 🀬 25%

#ROSE $0,0951 (1h: +0,51%, 24h: +1,11%)
tweet: 141 -15%, +6,67 (Vol 24h: +29,78%, +4,29)
πŸ₯³ 30%, πŸ˜‘ 59%, 🀬 11%

#FTT $1,6 (1h: +4,98%, 24h: +3,44%)
tweet: 22 -26%, +13,33 (Vol 24h: -37,05%, +18,05)
πŸ₯³ 27%, πŸ˜‘ 55%, 🀬 18%

#DCR $21 (1h: +1,81%, 24h: +1,14%)
tweet: 9 +31%, +28,57 (Vol 24h: -17,63%, +3,29)
πŸ₯³ 33%, πŸ˜‘ 56%, 🀬 11%

#AMP $0,0071 (1h: -1,12%, 24h: +1,79%)
tweet: 218 +131%, +3,19 (Vol 24h: +317,61%, +14,7)
πŸ₯³ 28%, πŸ˜‘ 52%, 🀬 20%

#RLC $3,4 (1h: +0,98%, 24h: +11,76%)
tweet: 170 +84%, +9,68 (Vol 24h: +107,09%, +9,43)
πŸ₯³ 41%, πŸ˜‘ 47%, 🀬 12%

#DUSK $0,4309 (1h: -1,86%, 24h: +4,49%)
tweet: 94 +131%, +34,15 (Vol 24h: +74,23%, +8,61)
πŸ₯³ 36%, πŸ˜‘ 49%, 🀬 15%

#NKN $0,1262 (1h: +2,02%, 24h: +3,51%)
tweet: 52 +24%, +7,14 (Vol 24h: +27,07%, +3,75)
πŸ₯³ 15%, πŸ˜‘ 81%, 🀬 4%

#QKC $0,0119 (1h: -0,31%, 24h: -1,82%)
tweet: 9 +63%, +16,67 (Vol 24h: -3,68%, +7,66)
πŸ₯³ 11%, πŸ˜‘ 67%, 🀬 22%

#POLY $0,0736 (1h: -8,59%, 24h: -6,23%)
tweet: 15 +28%, +25 (Vol 24h: -54,32%, +8,87)
πŸ₯³ 20%, πŸ˜‘ 60%, 🀬 20%

#UNFI $4,7 (1h: -1%, 24h: -3,11%)
tweet: 33 +5%, +3,12 (Vol 24h: +7,57%, +4,93)
πŸ₯³ 24%, πŸ˜‘ 64%, 🀬 12%

πŸ†• #FIRO $1,8 (1h: +1,54%, 24h: +2,5%)
tweet: 2 -76%, +12,5 (Vol 24h: -48,48%, +7,6)
πŸ₯³ 0%, πŸ˜‘ 100%, 🀬 0%

#SWAP $0,2043 (1h: +5,2%, 24h: +7,09%)
tweet: 58 +138%, +16,67 (Vol 24h: +146,63%, +77,53)
πŸ₯³ 38%, πŸ˜‘ 59%, 🀬 3%

#VGX $0,0909 (1h: -1,91%, 24h: +16,83%)
tweet: 82 +291%, +4,76 (Vol 24h: +330,82%, +15,96)
πŸ₯³ 35%, πŸ˜‘ 59%, 🀬 6%

#MIR $0,0323 (1h: +7,08%, 24h: -2,65%)
tweet: 5 -22%, +16,67 (Vol 24h: +15,86%, +11,14)
πŸ₯³ 0%, πŸ˜‘ 80%, 🀬 20%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#JASMY $0,0358 (1h: +0,67%, 24h: +18,06%)
tweet: 1423 +290%, +6,03 (Vol 24h: +361,38%, +3,6)
πŸ₯³ 39%, πŸ˜‘ 48%, 🀬 13%

#KLAY $0,2128 (1h: -0,39%, 24h: +4,05%)
tweet: 51 +86%, +3,7 (Vol 24h: +74,71%, +5,11)
πŸ₯³ 41%, πŸ˜‘ 49%, 🀬 10%

#IOTX $0,0638 (1h: +4,21%, 24h: +11,93%)
tweet: 121 +31%, +10,87 (Vol 24h: +69,1%, +27,22)
πŸ₯³ 40%, πŸ˜‘ 45%, 🀬 14%

#HOT $0,0025 (1h: +0,72%, 24h: +5,42%)
tweet: 132 +5%, +3,17 (Vol 24h: +4,07%, +21,54)
πŸ₯³ 33%, πŸ˜‘ 57%, 🀬 11%

#ELF $0,5098 (1h: +0,07%, 24h: +0,16%)
tweet: 252 +195%, +4,71 (Vol 24h: -45,53%, +8,04)
πŸ₯³ 11%, πŸ˜‘ 88%, 🀬 1%

#SPELL $0,0012 (1h: +4,14%, 24h: +23,37%)
tweet: 147 +321%, +14,29 (Vol 24h: +933,73%, +72,33)
πŸ₯³ 30%, πŸ˜‘ 62%, 🀬 8%

#MDX $0,0498 (1h: -17,03%, 24h: -4,62%)
tweet: 11 -27%, +6,67 (Vol 24h: +10,41%, +3,3)
πŸ₯³ 9%, πŸ˜‘ 73%, 🀬 18%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#INJ $30 (1h: +0,86%, 24h: +4,33%)
tweet: 666 +14%, +4,61 (Vol 24h: +70,38%, +4,31)
πŸ₯³ 45%, πŸ˜‘ 46%, 🀬 9%

#FLR $0,0287 (1h: +0,36%, 24h: +6,4%)
tweet: 349 +29%, +8,82 (Vol 24h: +70,08%, +18,58)
πŸ₯³ 33%, πŸ˜‘ 56%, 🀬 11%

#AXS $7,3 (1h: -1,72%, 24h: -1,51%)
tweet: 118 +19%, +8,08 (Vol 24h: +0,82%, +11,6)
πŸ₯³ 26%, πŸ˜‘ 48%, 🀬 25%

#GNO $335 (1h: +1,52%, 24h: +2,93%)
tweet: 16 +75%, +22,22 (Vol 24h: -6,32%, +6,78)
πŸ₯³ 25%, πŸ˜‘ 56%, 🀬 19%

#ROSE $0,1232 (1h: +1,36%, 24h: +11,07%)
tweet: 575 +132%, +13,31 (Vol 24h: +189,42%, +7,64)
πŸ₯³ 44%, πŸ˜‘ 43%, 🀬 13%

#LPT $23 (1h: +0,85%, 24h: +4,47%)
tweet: 59 -9%, +4,62 (Vol 24h: +42,57%, +4,2)
πŸ₯³ 34%, πŸ˜‘ 63%, 🀬 3%

#FRONT $1,3 (1h: -6,35%, 24h: +2,87%)
tweet: 155 +78%, +98,85 (Vol 24h: +188,9%, +23,45)
πŸ₯³ 17%, πŸ˜‘ 78%, 🀬 5%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#CRV $0,2441 (1h: -30,56%, 24h: -32,04%)
tweet: 150 +243%, +156,82 (Vol 24h: +210,81%, +193,05)
πŸ₯³ 17%, πŸ˜‘ 59%, 🀬 23%

#ONT $0,259 (1h: -1,99%, 24h: +5,51%)
tweet: 12 -35%, +5,26 (Vol 24h: +54,33%, +31,62)
πŸ₯³ 25%, πŸ˜‘ 75%, 🀬 0%

πŸ†• #KNC $0,7641 (1h: -3,04%, 24h: +3,95%)
tweet: 28 +1%, +3,57 (Vol 24h: +38,44%, +3,04)
πŸ₯³ 21%, πŸ˜‘ 75%, 🀬 4%

#BAKE $0,3693 (1h: -3,63%, 24h: +28,73%)
tweet: 93 +204%, +6,45 (Vol 24h: +305,61%, +11,33)
πŸ₯³ 32%, πŸ˜‘ 41%, 🀬 27%

#ALEPH $0,2797 (1h: -0,6%, 24h: +4,05%)
tweet: 12 -49%, +12,5 (Vol 24h: -17,5%, +3,75)
πŸ₯³ 58%, πŸ˜‘ 42%, 🀬 0%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#BTC $60207 (1h: -1,04%, 24h: -5,79%)
tweet: 68088 +22%, +4,4 (Vol 24h: +32,04%, +9,93)
πŸ₯³ 35%, πŸ˜‘ 41%, 🀬 25%

#BCH $351 (1h: +0,94%, 24h: -8,12%)
tweet: 1227 +121%, +6,13 (Vol 24h: +9,09%, +3,35)
πŸ₯³ 19%, πŸ˜‘ 57%, 🀬 23%

#INJ $21 (1h: +1,42%, 24h: +4,69%)
tweet: 686 +3%, +3,44 (Vol 24h: -4,5%, +4,65)
πŸ₯³ 40%, πŸ˜‘ 48%, 🀬 13%

πŸ†• #AAVE $82 (1h: +1,64%, 24h: +2,33%)
tweet: 595 +6%, +5 (Vol 24h: -12,96%, +3,92)
πŸ₯³ 25%, πŸ˜‘ 53%, 🀬 23%

#EOS $0,5601 (1h: +1,92%, 24h: +0,42%)
tweet: 46 +7%, +9,3 (Vol 24h: +2,23%, +3,45)
πŸ₯³ 30%, πŸ˜‘ 50%, 🀬 20%

πŸ†• #ENJ $0,1987 (1h: +2,91%, 24h: +7,38%)
tweet: 38 -5%, +32,5 (Vol 24h: +9,03%, +8,59)
πŸ₯³ 45%, πŸ˜‘ 45%, 🀬 11%

#BAT $0,1858 (1h: +0,09%, 24h: -0,43%)
tweet: 32 -28%, +13,64 (Vol 24h: +79,76%, +8,64)
πŸ₯³ 22%, πŸ˜‘ 69%, 🀬 9%

#T $0,0223 (1h: +0,72%, 24h: -1,66%)
tweet: 7 -45%, +23,08 (Vol 24h: +37,74%, +3,98)
πŸ₯³ 14%, πŸ˜‘ 57%, 🀬 29%

#UMA $2,4 (1h: +0,43%, 24h: -2,59%)
tweet: 17 -17%, +5 (Vol 24h: -12,61%, +4,27)
πŸ₯³ 24%, πŸ˜‘ 76%, 🀬 0%

#PERL $0,0008 (1h: +0,31%, 24h: -0,65%)
tweet: 15 -14%, +11,76 (Vol 24h: -30,23%, +4,65)
πŸ₯³ 33%, πŸ˜‘ 47%, 🀬 20%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#XLM $0,0922 (1h: -0,52%, 24h: +1,34%)
tweet: 81 +18%, +13,24 (Vol 24h: -22,13%, +6,65)
πŸ₯³ 35%, πŸ˜‘ 56%, 🀬 10%

πŸ†• #LDO $2,1 (1h: -11,15%, 24h: -11,9%)
tweet: 183 -11%, +41,46 (Vol 24h: +13,21%, +27,39)
πŸ₯³ 33%, πŸ˜‘ 56%, 🀬 11%

#RPL $19 (1h: -4,94%, 24h: -7,62%)
tweet: 70 +176%, +232 (Vol 24h: -64,89%, +6,08)
πŸ₯³ 14%, πŸ˜‘ 71%, 🀬 14%

#BAT $0,1972 (1h: -0,64%, 24h: +0,83%)
tweet: 34 -11%, +5,26 (Vol 24h: +80,23%, +12,52)
πŸ₯³ 38%, πŸ˜‘ 56%, 🀬 6%

#GLMR $0,2164 (1h: -0,34%, 24h: -0,05%)
tweet: 165 +22%, +3,7 (Vol 24h: +388,58%, +3,31)
πŸ₯³ 27%, πŸ˜‘ 54%, 🀬 19%

#LSK $1,1 (1h: -0,3%, 24h: +5,58%)
tweet: 61 +239%, +11,11 (Vol 24h: +383,24%, +5,42)
πŸ₯³ 38%, πŸ˜‘ 43%, 🀬 20%

#REQ $0,1119 (1h: -1,11%, 24h: -1,17%)
tweet: 5 -22%, +16,67 (Vol 24h: -30,84%, +4,1)
πŸ₯³ 60%, πŸ˜‘ 40%, 🀬 0%

#FUN $0,0038 (1h: -0,76%, 24h: -2,08%)
tweet: 29 +63%, +5,56 (Vol 24h: +46,99%, +3,14)
πŸ₯³ 21%, πŸ˜‘ 72%, 🀬 7%

πŸ†• #UOS $0,1059 (1h: +0,71%, 24h: +1,84%)
tweet: 14 -52%, +6,9 (Vol 24h: -42,68%, +7,06)
πŸ₯³ 29%, πŸ˜‘ 57%, 🀬 14%

#AKRO $0,0072 (1h: -0,16%, 24h: +54,68%)
tweet: 140 +2216%, +83,33 (Vol 24h: +1264,21%, +63,56)
πŸ₯³ 34%, πŸ˜‘ 33%, 🀬 33%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (5 min) #DTradingTwitter

#MDX $0,032 (1h: -9,16%, 24h: -11,32%)
tweet: 13 +34%, +100 (Vol 24h: -29,51%, +12,34)
πŸ₯³ 8%, πŸ˜‘ 23%, 🀬 69%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#LEO $5,7 (1h: +0,09%, 24h: -1,35%)
tweet: 37 +39%, +7,41 (Vol 24h: -0,54%, +7,05)
πŸ₯³ 41%, πŸ˜‘ 41%, 🀬 19%

#STX $1,7 (1h: +0,39%, 24h: +4,14%)
tweet: 240 +161%, +23,91 (Vol 24h: +32,69%, +3,58)
πŸ₯³ 40%, πŸ˜‘ 46%, 🀬 13%

#MKR $2515 (1h: +5,16%, 24h: +8,59%)
tweet: 97 +111%, +56,52 (Vol 24h: +34%, +22,49)
πŸ₯³ 40%, πŸ˜‘ 47%, 🀬 12%

#ORDI $33 (1h: +5,95%, 24h: +7,84%)
tweet: 111 +34%, +32,53 (Vol 24h: -28,92%, +10,61)
πŸ₯³ 32%, πŸ˜‘ 63%, 🀬 5%

#WOO $0,1855 (1h: +1,92%, 24h: +1,32%)
tweet: 102 +45%, +10 (Vol 24h: -9,7%, +4,42)
πŸ₯³ 40%, πŸ˜‘ 43%, 🀬 17%

#UMA $2 (1h: +0,15%, 24h: -2,06%)
tweet: 19 +24%, +46,67 (Vol 24h: -1,06%, +5,86)
πŸ₯³ 37%, πŸ˜‘ 53%, 🀬 11%

#MDX $0,061 (1h: -1,13%, 24h: +67,07%)
tweet: 67 +341%, +13,33 (Vol 24h: +1059,08%, +25,92)
πŸ₯³ 27%, πŸ˜‘ 39%, 🀬 34%

#FLM $0,0657 (1h: +1,28%, 24h: +9,4%)
tweet: 41 +261%, +63,64 (Vol 24h: +226,31%, +22,98)
πŸ₯³ 27%, πŸ˜‘ 56%, 🀬 17%

#SWAP $0,1598 (1h: +2,01%, 24h: +22,25%)
tweet: 6 -48%, +8,33 (Vol 24h: +189,02%, +10,98)
πŸ₯³ 50%, πŸ˜‘ 33%, 🀬 17%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#ETH $3463 (1h: +0,34%, 24h: -1,01%)
tweet: 29325 +135%, +5,39 (Vol 24h: +61,18%, +7,34)
πŸ₯³ 37%, πŸ˜‘ 49%, 🀬 13%

#MATIC $0,5383 (1h: +1,02%, 24h: -0,53%)
tweet: 519 +72%, +10,93 (Vol 24h: +41,32%, +3,59)
πŸ₯³ 48%, πŸ˜‘ 35%, 🀬 17%

#ETC $24 (1h: +0,58%, 24h: +1,81%)
tweet: 156 +275%, +28,57 (Vol 24h: +142,15%, +3,29)
πŸ₯³ 35%, πŸ˜‘ 55%, 🀬 10%

πŸ†• #MKR $2799 (1h: +2,05%, 24h: +1,45%)
tweet: 48 -32%, +7,14 (Vol 24h: +16,3%, +7,85)
πŸ₯³ 31%, πŸ˜‘ 56%, 🀬 12%

πŸ†• #QNT $73 (1h: -0,05%, 24h: -1,45%)
tweet: 85 -23%, +6,31 (Vol 24h: +4,4%, +3,13)
πŸ₯³ 21%, πŸ˜‘ 51%, 🀬 28%

#HNT $5,3 (1h: +0,49%, 24h: +6,43%)
tweet: 63 +135%, +33,33 (Vol 24h: +26,41%, +9,71)
πŸ₯³ 60%, πŸ˜‘ 35%, 🀬 5%

#PENDLE $4,2 (1h: +2,29%, 24h: +0,19%)
tweet: 73 -4%, +6,58 (Vol 24h: +5,5%, +4,61)
πŸ₯³ 40%, πŸ˜‘ 51%, 🀬 10%

#KAVA $0,408 (1h: -1,11%, 24h: -3,12%)
tweet: 107 -10%, +9,24 (Vol 24h: +60,45%, +6,16)
πŸ₯³ 55%, πŸ˜‘ 36%, 🀬 8%

#COTI $0,1103 (1h: +1,64%, 24h: +5,02%)
tweet: 282 +380%, +18,64 (Vol 24h: +298,92%, +26,13)
πŸ₯³ 34%, πŸ˜‘ 56%, 🀬 10%

#OXT $0,0795 (1h: -0,08%, 24h: -7,4%)
tweet: 15 +25%, +8,33 (Vol 24h: +19,07%, +4,3)
πŸ₯³ 27%, πŸ˜‘ 67%, 🀬 7%

#GTC $0,8905 (1h: +1,01%, 24h: +0,13%)
tweet: 116 +39%, +3,57 (Vol 24h: +7,08%, +4,63)
πŸ₯³ 33%, πŸ˜‘ 56%, 🀬 11%

#LIT $0,7079 (1h: +0,28%, 24h: -9,78%)
tweet: 220 +280%, +6,9 (Vol 24h: +127,48%, +13,19)
πŸ₯³ 66%, πŸ˜‘ 32%, 🀬 1%

#MDX $0,0241 (1h: +0,04%, 24h: -28,66%)
tweet: 15 -33%, +18,18 (Vol 24h: -48,86%, +38,56)
πŸ₯³ 20%, πŸ˜‘ 73%, 🀬 7%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#FIL $4,7 (1h: +0,71%, 24h: +14,18%)
tweet: 308 +16%, +3,4 (Vol 24h: +34,83%, +13,54)
πŸ₯³ 44%, πŸ˜‘ 48%, 🀬 8%

#CFX $0,1691 (1h: +0,77%, 24h: +19,42%)
tweet: 23 -16%, +11,11 (Vol 24h: +22,85%, +5,63)
πŸ₯³ 17%, πŸ˜‘ 48%, 🀬 35%

πŸ†• #LUNC $0,0001 (1h: +1,42%, 24h: +7,45%)
tweet: 127 -36%, +5,58 (Vol 24h: -37,25%, +7,42)
πŸ₯³ 39%, πŸ˜‘ 46%, 🀬 16%

#BAND $1,5 (1h: +1,27%, 24h: +20,39%)
tweet: 42 +121%, +15,79 (Vol 24h: +59,24%, +20,18)
πŸ₯³ 40%, πŸ˜‘ 45%, 🀬 14%

#UMA $2,6 (1h: -2,74%, 24h: +22,88%)
tweet: 77 +311%, +10,53 (Vol 24h: +257,24%, +6,34)
πŸ₯³ 18%, πŸ˜‘ 44%, 🀬 38%

#STMX $0,0086 (1h: +9,75%, 24h: +22,82%)
tweet: 39 +44%, +33,33 (Vol 24h: +193,37%, +36,13)
πŸ₯³ 26%, πŸ˜‘ 67%, 🀬 8%

#LINA $0,0056 (1h: -0,06%, 24h: +8,59%)
tweet: 20 +23%, +62,5 (Vol 24h: +10,86%, +10,42)
πŸ₯³ 40%, πŸ˜‘ 55%, 🀬 5%

#ASD $0,0423 (1h: +0,5%, 24h: +4,27%)
tweet: 496 +559%, +74,67 (Vol 24h: +9%, +3,11)
πŸ₯³ 53%, πŸ˜‘ 43%, 🀬 4%

#FIRO $1,4 (1h: -3,85%, 24h: +18,59%)
tweet: 22 +404%, +50 (Vol 24h: +396,26%, +75,22)
πŸ₯³ 14%, πŸ˜‘ 64%, 🀬 23%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (5 min) #DTradingTwitter

#SUI $1,1 (1h: +8,07%, 24h: +23,15%)
tweet: 1750 +684%, +8,07 (Vol 24h: +352,22%, +5,99)
πŸ₯³ 39%, πŸ˜‘ 47%, 🀬 14%

#SEI $0,3128 (1h: +6,55%, 24h: +12,54%)
tweet: 233 +24%, +1,06 (Vol 24h: +77,62%, +1,67)
πŸ₯³ 36%, πŸ˜‘ 51%, 🀬 12%

#CRV $0,3033 (1h: +5,75%, 24h: +20,91%)
tweet: 300 +301%, +2,67 (Vol 24h: +98,48%, +2,97)
πŸ₯³ 39%, πŸ˜‘ 46%, 🀬 15%

#ZIL $0,0142 (1h: +4,29%, 24h: +2,07%)
tweet: 52 -22%, +1,49 (Vol 24h: -13,16%, +1,43)
πŸ₯³ 37%, πŸ˜‘ 46%, 🀬 17%

#REEF $0,0009 (1h: -0,06%, 24h: -19,88%)
tweet: 151 +433%, +3,57 (Vol 24h: +299,24%, +4,3)
πŸ₯³ 34%, πŸ˜‘ 40%, 🀬 26%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

#LUNC $0,0001 (1h: +4,59%, 24h: +4,28%)
tweet: 192 +10%, +4,57 (Vol 24h: -21,04%, +21,29)
πŸ₯³ 30%, πŸ˜‘ 50%, 🀬 20%

#DFI $0,0271 (1h: +1,51%, 24h: +10,55%)
tweet: 74 +159%, +20,69 (Vol 24h: +8,77%, +14,29)
πŸ₯³ 28%, πŸ˜‘ 49%, 🀬 23%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (1 h) #DTradingTwitter

πŸ†• #MATIC $0,415 (1h: -1,79%, 24h: -1,58%)
tweet: 302 -11%, +6,78 (Vol 24h: -11,49%, +5,82)
πŸ₯³ 47%, πŸ˜‘ 39%, 🀬 14%

#T $0,0245 (1h: +0,11%, 24h: +8,09%)
tweet: 16 +21%, +7,69 (Vol 24h: +158,9%, +40,37)
πŸ₯³ 56%, πŸ˜‘ 38%, 🀬 6%

πŸ†• #STORJ $0,3685 (1h: +4,97%, 24h: +4,26%)
tweet: 18 -39%, +30 (Vol 24h: -66,92%, +8,91)
πŸ₯³ 50%, πŸ˜‘ 39%, 🀬 11%

πŸ†• #PROM $5,2 (1h: -0,85%, 24h: -4,64%)
tweet: 3 -86%, +4,55 (Vol 24h: -4,66%, +4,7)
πŸ₯³ 100%, πŸ˜‘ 0%, 🀬 0%

#CREAM $17 (1h: -0,02%, 24h: -9,65%)
tweet: 70 +718%, +33,33 (Vol 24h: -13,53%, +4,89)
πŸ₯³ 60%, πŸ˜‘ 23%, 🀬 17%

#DFI $0,0303 (1h: +2,3%, 24h: +22,68%)
tweet: 135 +350%, +26,67 (Vol 24h: +35,42%, +6,02)
πŸ₯³ 34%, πŸ˜‘ 50%, 🀬 16%

#NU $0,0812 (1h: +3,42%, 24h: +9,03%)
tweet: 175 +395%, +5,71 (Vol 24h: +96,17%, +35,33)
πŸ₯³ 41%, πŸ˜‘ 39%, 🀬 20%
πŸ“ŠπŸ”₯ Tracking the dynamics of changes in trading volumes and Twitter activity (5 min) #DTradingTwitter

#AMP $0,0039 (1h: +6,03%, 24h: +10,79%)
tweet: 297 +369%, +3,17 (Vol 24h: +191,06%, +13,34)
πŸ₯³ 28%, πŸ˜‘ 62%, 🀬 10%