Analysis: The 12 coins with sizzling sentiment through $BTC’s rough week

Bitcoin price

Well last week was … dramatic.

As $BTC once again teetered toward its annual lows, it largely took the Alt market with it before balancing out.  After peaking last week just before the massive drop, sentiment on Bitcoin crashed before recovering a bit this weekend.

There’s still a fair number of the 154 traders and influencers I follow who remain bullish, but things have cooled considerably.

Let’s look at where we’re at on the market charts.

Note: The chart above shows sentiment for $BTC and a combination of the top 20 Alt coins/tokens as of this writing on CoinMarketCap. 

Both $BTC and the Alt markets are on downtrends in sentiment, and although you could argue the Alts are closer to a bottom, they won’t start performing again until Bitcoin at least levels out.

Bitcoin was very choppy over the weekend, but if we get some steadiness, we could see sentiment on the Alts turn around.

Even with the price drops, sentiment remains high on many alts. Let’s take a look.

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 is the data I collected this week.

CoinSentiment (of 100)VolumeInfluencersPower Rating
ACBFF1110.5
ACED9211386
ADA39271467
AE221111
AION9114.5
AKA671133.5
ALQO7713682.75
AMD501125
ARN642257
ARWR13116.5
AST13116.5
AUD222122.25
AUR0110
AURA378559.5
BABA1110.5
BAK222122.25
BAT6317877.5
BCD378861.75
BCH2017956.25
BCN795476.75
BEER991149.5
BIS671133.5
BK881144
BLAS931146.5
BLOCK642143.25
BLPH971148.5
BLZ501125
BNB677775.5
BRAVO971148.5
BTC4579410672.5
BTCD128547
BTG34232
BTS671133.5
BURST881144
BUST3111.5
BVO623259.75
BWK8110380
CACHE5112.5
CAN951147.5
CANN991149.5
CATO764268.5
CDT13116.5
CGC416253
CHAT604260.5
CHF811140.5
CL_F221111
CMT671133.5
CNN503140
COLX477143
CORN501125
COSS0110
CRNC221111
CRON4911466
CS174239
CURE13116.5
DADI501125
DART885161.75
DASH4014664.5
DAV9114.5
DAX501125
DBC811140.5
DBIX122117.25
DBX221111
DCR174239
DEB2010552.25
DENT222236
DEV375136.25
DGB672258.5
DIG222236
DIVC13116.5
DNT5112.5
DOGE61532679.75
DOR811140.5
DRGN208752.75
DTB379459
DXY501125
DYN455140.25
ELF663261.75
EOS2255758
ETC45281770.5
ETH192176759
ETHBTC172233.5
ETP3111.5
EXC501125
FB501125
FDR223239.75
FLASH221111
FOR623259.75
FUEL671133.5
FUN811140.5
GBTC3111.5
GFY477256.75
GGP671133.5
GIN501125
GLD766270.5
GNO881144
GO221111
GVT2210452
HMNY3610357.5
HOT75511886.5
HUSH764154.75
ICX22181257.75
IGNIS0110
INXT881144
IOTA416560
IOTX501125
IWM221111
IXIC501125
JD222122.25
KEY971148.5
KIN223239.75
KLKS469257.75
KMD678574.5
KRL812265.5
LBC174239
LEND1110.5
LIFE972159.75
LINK412245.5
LISK501125
LOOM221111
LSK672258.5
LTC22421058.5
LUV501125
LUX501125
MAID13116.5
MAN82229
MANA223344
MED221111
METM5112.5
MFT887584.25
MKR882155.25
MSP792264.5
MTC931146.5
MTL2129555
MUE1710348
MVIS133121.5
NANO224345.75
NAV501125
NCASH6611474.5
NEBL5112.5
NEO63412180
NEXO671133.5
NIO773153.5
NKE113338.5
NPXS75271384.75
NXC13116.5
NXS811140.5
NXT221111
OCN6712677.5
OMG677573.75
OMNI873272.25
ONT222236
PART1110.5
PASC221111
PCN3111.5
PHR4117361.5
PINK642143.25
PIRL642257
PIVX609264.75
POA412131.75
POLY642257
POWR222122.25
PPT931146.5
PUREX811140.5
PXS221111
QKC811140.5
QNT875480.75
QQQ9114.5
QSP221111
QTL1110.5
QTUM501125
RDD811140.5
REN971148.5
RUBY501125
RUPX407139.5
SC466461.25
SCRL675470.75
SCT504141.75
SENT496462.75
SHA672144.75
SHIFT881144
SKYBTC1110.5
SMART815272
SNAP223344
SPX221111
SPY502250
SQ811140.5
SS5112.5
STEEM221111
STONE496143.25
STORM85542.5
STRAT2114755.75
SUN922157.25
T9114.5
TEL6020776
TFD132231.5
TKS951147.5
TKY942158.25
TLRY52227.5
TNC971148.5
TOMO808160.25
TRC115123.25
TROLL951147.5
TRX46431371
TSC501125
TUBE4112664.5
UBQ776578
UCNS934482.75
UUU881144
VEN113234.25
VERGE5112.5
VET48441071.75
VIA812265.5
VIBE412245.5
VNX773153.5
VTC221111
WABI132231.5
WAN137344
WAVES3915256.25
WENDO504255.5
WHIP501125
WYS811140.5
XBT665264.5
XDN671133.5
XEM951147.5
XG922157.25
XHV221111
XLM39341367.25
XLQ223344
XLR4413464
XMR629673.75
XPTX412131.75
XRP38581768
XSN792150.75
XVG679676.25
XZC812151.75
ZCL617570.75
ZEC133339.5
ZEN463251.75
ZER502136.25
ZIL817273.75
ZINC501125
ZNGA9114.5
ZPT671133.5
ZRX4012764.75

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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