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The Fab 14: The cryptocurrencies with the highest sentiment this week

In this week’s analysis, Remy Stephens tackles fourteen altcoin with power ratings including Dogecoin, Digitbyte and more!

Written by Remy Stephens Published on

Last week we were talking about how Bitcoin was approaching a big decision. That decision, for the moment, appears to be bullish.

While the 154 crypto influencers and traders I follow for my sentiment analysis were split heading into last week, today they’re more bullish than they’ve been in months.

Alts remain bullish, but have cooled off after a nice couple of weeks. Let’s look at the charts.

 $BTC has outperformed the expectations of the folks I follow who remained bearish last week, and saw its sentiment peak today with the price coasting above $7,300 USD and a green weekly close for the third straight week.

That doesn’t guarantees it’ll be all roses. Several have questioned how long this run could last after more than two weeks of bullish action. Daily indicators suggest a cooling off period is necessary before long.

Still, it’s nice to see some sustained positive sentiment. It’s just not clear how long it will last.

The Top Alts

These coins/tokens had the highest power rating in my analysis this week. The power rating is a weighted calculation taking into account sentiment, volume and the number of unique users who mentioned a coin. Generally, I eliminate any coins mentioned by less than 3 individual people as I don’t feel it would be representative of a trend.

You can always find my methodology at the bottom of my posts or pinned to the top of my Twitter page, where you can also find a legend for my charts.

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The Data

As always, here’s all the data I collected this week.

CoinSentiment
(of 100)
VolumeInfluencersPower Rating
ABYSS814157
ACED759376
ACT671133.5
ADA47492172
AE942157
AION19119.5
ALQO9410488
AMD811140.5
ARDR192233.5
ARK192233.5
AUM881144
AURA438663.25
BAK671133.5
BAT387559.5
BCC19119.5
BCH17431956.75
BCN774475
BCO674368.25
BIS102115
BITG471123.5
BLK19119.5
BLOCK102115
BLZ437562
BNB46351069.25
BTC407539670
BTCP862267
BTG212236.75
BTS423248.75
BURST811140.5
BWK7722275.75
BYOC12116
BZNT671133.5
CACHE3111.5
CANN12116
CAP1110.5
CATO604260.5
CET19119.5
CGC12116
CMT412244.5
CNN359137.75
COLX447141
COSS471123.5
COV19119.5
CRNC471123.5
CRW602254
CS5112.5
CTK5112.5
CVC811140.5
DADI471123.5
DAI52112.5
DART934163
DASH43321669
DATA811140.5
DBIX123233.75
DBX19119.5
DCR888483.75
DDGE0110
DENT472247.5
DEV165125.75
DGB7414781.25
DGBBTC19119.5
DIS471123.5
DOGE601244779.5
DRGN175547.75
DTB673261.25
DXY12116
DYN474140
ELA753265.25
ELF643145.75
ENG93232.25
EOS191251658.25
EOS-471123.5
EQL1001150
ESH671133.5
ETC57171274.5
ETH37944167.75
ETHU18192119.5
ETN972272.5
ETP472247.5
EUR472133.5
EURCAD471123.5
EXP19119.5
EXRN471123.5
EXUS5112.5
F19119.5
FDC19119.5
FDR667370.25
FMG19119.5
FOR883271.75
FOTA19119.5
FUN812264.5
GAS672257.5
GCASH952157.5
GET882154
GFY199129.75
GIC102115
GIN673365.5
GM671133.5
GMT671133.5
GNT473251.25
GO883271.75
GVT858162.25
HER471123.5
HKN19119.5
HMNY1811244.25
HOT64251478.75
HSR971148.5
HUC0110
I427140
ICX34491564.75
IFT671133.5
IOST881144
IOT363245.75
IOTA60151075.25
IOTX471123.5
JEW19119.5
KEY163121.75
KIN6010265
KLKS4020463
KMD648471.75
LGD471123.5
LIFE966166.5
LINDA882154
LINK593361.5
LMT19119.5
LOOM8811485.25
LRC991149.5
LTC33521063.5
LUN971148.5
LUX414137
LVH811140.5
MAN93336.5
MANA5710367.75
MDX812150.5
MEDX772262.5
MFT6713677.5
MKR853270.25
MORE961148
MSFT1110.5
MSP22225
MTL0110
MU671133.5
MUE123233.75
NANO34261764.75
NAS471123.5
NCASH799378
NCP471123.5
NDB5112.5
NEBL882154
NEO19411757.5
NEX602254
NEXO753265.25
NIO152117.5
NIX19119.5
NPXS6217575.25
NULS671133.5
NXPS671133.5
NXT943160.75
OCE471123.5
OCN399358
OMG934381.25
OMNI363245.75
ONT10141150.25
OPNT19119.5
OST991149.5
PART1110.5
PASC412130.5
PHR6510473.5
PINK363131.75
PIRL6610372.25
PIVX366456.5
PKC671133.5
POA862153
POE192119.5
POLIS881144
POLY793267.25
POWR5112.5
PROC671133.5
PTOY471123.5
PWR811140.5
QKC102229
QSP643145.75
QTUM817781.75
RDD811140.5
RDN52112.5
REN793371.5
REP3111.5
REQ471123.5
RPX1110.5
RUPX459142.75
RVN954382.25
SAFEX12116
SAFU961148
SBUX53230.25
SC587468
SCRL882268
SCT753151.25
SENT46440.5
SGMO5112.5
SHA805157.75
SHIFT19119.5
SMART864377.75
SPACE5112.5
SPX588570.25
SPY152231.5
SQ772262.5
SS974383.25
STEEM19119.5
STONE596262
STORJ881144
STORM19119.5
STRAT354352.25
SUB423248.75
SUN772148.5
SYS5112.5
TEL445139.75
TFD124340.75
THR12116
TLRY471123.5
TOMO399358
TPAY125123.75
TRC472133.5
TRX58692178
TT672143.5
TUBE756476
TWTR862267
TXMD971148.5
UBQ43229.75
UBT19119.5
USO19119.5
UUU881144
VEN19119.5
VET63721579.75
VIA63111075.5
VIBE19119.5
VIX19119.5
VNX881144
WABI5615973.25
WAN66491580.75
WAVES4611464.25
WCT19119.5
WRP471123.5
WTC46391069.5
WWE951147.5
XAU5112.5
XBT3820563.5
XCP602140
XDN672257.5
XEM881144
XG19119.5
XHV472247.5
XLM3814963.75
XLQ19119.5
XLR5611367.5
XMR45181268.75
XRP35572366.25
XSN798273.25
XTZ19119.5
XVG3314760.75
XZC399459.75
YOU19119.5
ZCL7615480.5
ZEC175446.25
ZEN793371.5
ZIL5714672.5
ZINC856481
ZPT195241.25
ZRX34191463.5
ZS_F3111.5

 

Methodology

Each week, I scrape the Twitter accounts of some of the crypto world’s favorite influencers, traders and TA folk. I run a sentiment analysis to see which coins they are mentioning positively, neutrally and which they are mentioning in a negative light.

I also take in data on unique influencers, retweets, favorites, volume and strength of feeling in sentiment.

I calculate power by through a weighted formula that takes into consideration volume, number of unique influencers and sentiment. The higher the score, the better, the lower the worse.

This isn’t financial advice, just my own way of trying to make sense of what’s out there. And as with most things, the more data I collect, hopefully, the more interesting it’ll be. This is a work in progress. Please leave suggestions on how to make it better. I imagine if I keep up with it, I’ll be able to expand a bunch of the analysis, but I wanted to start somewhere.

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Written by

Remy Stephens is a longtime data journalist from the U.S. who became mildly obsessed with cryptocurrency in 2017. More of his sentiment analysis can be found on Steemit. @FomoCryptoDojo

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