Sentiment analysis: Top and bottom coins for week of June 11

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Wow, so uh...let me just try to wipe the blood off the screen before I start this.

It goes without saying that the market's been through a rough ride, and that is the big disclaimer to start this post. If $BTC doesn't get it's act together, there's not much hope for the rest of the market.

If you look at the chart above, it's concerning to me for a few reasons. First, we've been making lower lows in sentiment for the past two weeks. And when we finally leveled off for a bit (as of this writing), I'm not seeing the kind of bounce you'd expect with a short-term bottom.

Most of the 100 influencers and traders I follow for this analysis remain nervous and tentative, so until there's a clear bottom in trading across the market is risky. So if you're going to play 'catch the knife', good luck to you.

New features!

You'll notice a few new elements, where available.

  • I'm adding the 7-day price change in $BTC for each coin here for some perspective.
  • I'll now be giving a few of the bottom coins by power rating. I figure it's worth taking a look to see if any of these coins/tokens are nearing a bottom.
  • Lastly, where I have data, you'll now see a line chart showing the power rating for each coin featured over the last several weeks.

I'm continuing to workshop things, add things and change them as I go along. I'm working hard on getting a website together so you'll all be able to review all these graphics and data for every coin I track.

The Top Alts

These coins had the highest overall power rating for last week, which is compiled using a weighted formula combining sentiment, volume of mentions and total number of unique influencers who mentioned it.

7.


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6.

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5.


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4.

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3.


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2.


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1.

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The Bottom Dwellers

These are the most notable coins on the bottom of the pile. Coins/tokens with less than 4 mentions and 3 influencers were excluded.

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The data

CoinMentionsInfluencersSentiment (of 100)Power Rating
ADA843760.5
AE223137
AION227659.5
ALQO219556
APR1110050
ARDR1100
ARK1173.5
ARO321434.25
AUC21812.5
BAT112412
BBO321534.25
BCH1575473.5
BIS223840
BITG1152.5
BIX418761
BLZ212420.5
BNB338475.5
BTC289555879.25
BTCP113818.5
BTCZ1173.5
BTS117638
CV11157
DASH116144
DAXT325340.25
DBET117638
DCR21926
DGB223124
DGD1100
DIG218451
DIVX119969.75
DOGE443849
DRGN221114
DRV11917.5
ENG438282.75
EOS32125753
EQL117651
ETC229580.75
ETH23155262.75
FOR521929.75
FOTA113818.5
FUN111527.25
GAME113831.5
GVT449276.5
HKN227646.5
HPB426172.25
HXX113831.5
ICX981831
IFT221136
INS113840.5
IOTA1752937.75
IPBC657156.5
KEC219267.5
KLKS529165.75
KMD329260.25
LBC1152.5
LINDA319485
LOOM223124
LTC2095149.5
MUE412350.5
MWAT217646.5
NANO1062849
NCASH333028.75
NEO223827
NEXO113831.5
NLX116131
NOS527079.25
NULS11214
OCN2296174.75
OMG223124
ONT743457.5
OST113837.75
PCN339662.25
PHR736071.5
PIRL21423.5
POE446148.5
PROC428258.5
QSP113838.75
REL219757
RLC443535
RTY_F113818.5
RVT212433.5
SAFEX117638
SALT322244.5
SCT118743.5
SENT333832.75
SKY338670.25
SNAP11214
SPX116144
SS225536
STORM326145.25
STRAT327162.75
TAU113818.5
TEL118743.5
TFD427354
THETA212040.5
TKY118743.5
TOMO116155.5
TRAC11220.25
TRX1065951.5
TSC113831.5
TUBE19115775.75
VEN543048.25
VRC112412
WABI228451
WAN1083640
WAVES321823.25
WAX21027.75
WTC312426.25
XBT325353.25
XEM113818.5
XLM432027.5
XLQ116154
XLR225536
XN417555
XRH116153.75
XRP1772347.75
XSN429866.5
XTL116144
XVG1066957
XZC227358
ZAP113838.75
ZCL331119.75
ZEC227666.75
ZEN221126
ZIL647377.75
ZPT118743.5
ZRX1041550

The Influencers

Who am I?

I'm an investigative data journalist during the day, and I've been looking for a way to cut through the noise and get a true sense of what some of the biggest crypto influencers are pushing toward and pulling away from.

Using a pseudonym here because I can't post about this shit on my verified accounts. I've become mildly obsessed with crypto and its constant stream of data and needed an outlet. So here I am.

What is this?

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.