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Analysis: Sentiment on 13 coins that are fire right now

In this week’s analysis, Remy Stephens explores thirteen cryptocurrencies leading bullish support and sentiment on Twitter.

Written by Remy Stephens Published on

Is it finally safe to come out and play?

For the moment anyways, it appears $BTC is in some form of a sustained bull trend — though there’s no indication the broader bear market is over yet.

After a nearly two and a half month bleed, sentiment on Bitcoin finally broke out of a sustained downtrend, piercing a point in my analysis that hadn’t been touched in a long while.

Most of the 149 influencers and traders I follow for my analysis have remained positive on $BTC since it broke through the much vaunted $6,800 barrier last week. Few on that list believe this run signals we’re out of the monster bear market we’ve been gripped in since February, but this is the best we’ve seen sentiment on Bitcoin in quite a while.

The pattern suggests to me that we’re likely experiencing something more along the lines of April’s bull charge than a complete shift in the market. But hey, April was fun.

The Top Alts

Here are the 13 coins/tokens that scored above a 75 on my power rating scale, a weighted formula that takes into account sentiment, volume and unique influencer mentions.  I don’t include coins in my rankings if they have received less than 5 mentions or have been mentioned by less than 3 unique people.

You can always find methodology and a key to my charts at the bottom of my posts, or pinned to the top of my Twitter page @FOMOcryptoDojo.

13. $SCRL

12. $LBC

11. $NEO

10. $SC

9. $KLKS

8. $POE

7. $WAN

6. $ADA

5. $BWK

4. $ZEN

3. $MSP

2. $DOGE

1. $PHR

CoinSentiment (of 100)VolumeInfluencersPower Rating
ADA65321681
ARDR4313766
AURA5627573.25
BAT5516973
BCH10171251.5
BNB59111174.5
WYS928280.75
AION924380.5
TUBE864479.75
BTC3475510067
BWK7711581.5
DCR69545.75
DGB55221274.25
DOGE76241685.75
GIN944277.25
DRGN156649.25
ELF66340.75
ENG427359.25
NEXO863374.75
EOS1624653.75
ETC14301454.75
ETH13783156
HKN467361.25
ICX44211569.25
KLKS7613378.25
MORE972272.75
ADH776272
EVE766271.5
KMD595468.5
IOTA783370.75
KRL657370.75
OMG932270.75
XTZ783370.75
LBC786376.75
LTC14331755.75
MANA5815774
MFT3222661.5
MSP935485.5
PPI872267.75
NANO368459.25
SS664367.5
GVT744267.25
PASC862267.25
NEO60261477.5
LOOM654367
PK667267
OCN4510766.25
ALQO783266.5
ONT137447
PAY465462
PHR9222590.75
POE777479
DASH663364.75
EXP663364.75
UBQ625263.5
CND782263.25
ZCL664263.25
ZLC944163.25
SC6613978
GRV973162
SCRL6619476.5
STRAT5616773
TFD1413751.5
TPAY447360.25
NCP7811160.5
SALT604260.25
TRX41441769.25
VEN33702365.5
VIA6213876
RLC982159.25
ATMI633259
ONION633259
IOST574258.75
ATMOS952157.75
BTG583256.5
WAN62301779.25
WAVES4211765
WTC4011563
ELA424355.5
XZC784155.25
XBT465462
XLM45311370.5
PURE435254
XLR5416367.75
XG344453.75
PIRL862153.25
VET6212153
POD364352.5
REP403351.75
XMR335556.5
XRP10873454.5
TRBO753151
XMN753151
STR463250.5
TEL336250
ELIX991149.5
OPEN991149.5
XVG4413967
BCN981149
LEX981149
BTS343348.75
NFLX343348.75
WPR343348.75
KEY364248.25
ZEC128548.25
BITG951147.5
DIG403247.5
LCS951147.5
MAN951147.5
POWR403247.5
XBY951147.5
XXX951147.5
GLD462247.25
PCN462247.25
SUMO462247.25
ZEN945383.75
DBIX565146.5
INN663146.5
LINK565146.5
SUN931146.5
CRAVE604146.25
ZIL45161068.25
SCT633145
TX633145
CTS574144.75
MCO343244.5
ALTS871143.5
DLT871143.5
DNR871143.5
EUNO871143.5
LGO871143.5
MUE871143.5
RDD871143.5
XTO871143.5
ZPT662143.25
LSK164342.5
NPXS583142.5
LEND362242.25
SPD362242.25
ZRX46321471
APD602140.25
CORN602140.25
LINDA602140.25
ANON781139
CAH781139
COV781139
DEV781139
ESZ781139
MTC781139
POLY781139
QSP781139
SEND781139
SLV781139
SOMA781139
SONM781139
SPO781139
SPY781139
ACED368138.75
HILL463136.5
MTL163235.5
BBP364134.25
SNM84234.25
ARK43333.75
SENT74233.75
XSN123233.5
MWAT462133.25
ADX661133
APH661133
CRB661133
FUN661133
GC_F661133
INF661133
OST661133
QWARK661133
RCN661133
THETA661133
TOMO661133
WINGS661133
XGS661133
BLZ162232.25
ENJ162232.25
LUX162232.25
PIVX162232.25
QTUM162232.25
STORM162232.25
BELA362128.25
BLOCK82228.25
ECC362128.25
INXT362128.25
LINX362128.25
DYN156127
JEW118126.25
WABI32225.75
NEBL12224.75
BTCC461123
CHAT461123
COSS461123
ETP461123
MBC461123
NAS461123
NIX461123
QKC461123
SPHTX461123
STEEM461123
TRAC461123
TRC67123
VEE461123
VNX461123
YCE461123
POLIS114121.75
STONE114121.75
XP84120.25
INS162118.25
XAU162118.25
AEG63116.5
BIS122116.25
NULS82114.25
SOAP22111.25
ACT16118
AMP16118
ARN16118
AST16118
BBO16118
BLK16118
BNT16118
DTB16118
DYOR16118
EDO16118
GNT16118
GS16118
IONC16118
KICK16118
MCM16118
MENLO16118
MNX16118
NCASH16118
NF16118
NIHL16118
NOS16118
PEX16118
PRL16118
QRL16118
RAIN16118
SAN16118
SNAP16118
TAL16118
TKS16118
UBIQ16118
VTHO16118
XCO16118
REQ8114
VEO8114
XYZ8114
DNT4112
GFY4112
KIN4112
VRC4112
GAME3111.5
XCP3111.5
NIO2111
XTL1110.5
BND0110
DJI0110
MTH0110
VRH0110
WAX0110

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.

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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