Sentiment Analysis 2.0: Top coins for the week starting May 28

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Finally, let's take things up a notch.

Sorry again for the lack of posts this week, but I promise it's well worth it. Today I'm releasing my new and improved sentiment analysis system moving forward, upgrading both the analysis and graphics of what I'm putting out.

A quick overview:

  • I've automated most of the process, utilizing a python-based Twitter scrape, which allowed me to increase the list of crypto traders and influencers I follow from 40 to 100. I'm taking in a lot more data as well, which will allow me to expand my analysis and content moving forward.

  • For sentiment analysis, I'm starting with a base of the Google Natural Language API, while simultaneously beginning efforts to use machine-learning to train a better model.

  • Finally, from the analysis side, my new power rating is a weighted formula that takes into account both the sentiment and volume of a coin's mention on social media.

The graphics

The pic below will give you a guide to the new graphic layout for rankings:

cryptoguide.jpg

Things will be added and tweaked as time goes on, but a lot more data on here. Don't forget about news items! You don't want to get caught in a news dump.

$BTC

Another rough week for the big boy...

Screen Shot 2018-05-27 at 1.11.17 PM.png

Sentiment has been...erratic. It seems like every time we stabilize for a moment, sentiment creeps back up just to get washed down again. There's no meaningful sign of improved confidence at this point which you'd like to see before the market turns around.

I'd like to see a significant push upwards, like we had in reverse a few weeks ago. Until then, trading crypto strikes me as a big risk.

The top 15 coins

The one thing that's nice about sentiment analysis in a down market is that it really allows you to root out strength in weakness. These coins shined through a pretty thoroughly shitty week. Several news items this week as well. Pay attention to the dates and follow closely as coins often dump when news is released.

15.

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14.

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12. (tie)

Screen Shot 2018-05-27 at 8.26.01 PM.png

12. (tie)

Screen Shot 2018-05-27 at 8.26.14 PM.png

11. $PHR

Screen Shot 2018-05-27 at 8.26.26 PM.png

9. (tie)

Screen Shot 2018-05-27 at 8.26.35 PM.png

9. (tie)

Screen Shot 2018-05-27 at 8.26.46 PM.png

8.

Screen Shot 2018-05-27 at 8.26.57 PM.png

7.

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6.

Screen Shot 2018-05-27 at 8.29.35 PM.png

5.

Screen Shot 2018-05-27 at 8.27.34 PM.png

4.

Screen Shot 2018-05-27 at 8.27.45 PM.png

3.

Screen Shot 2018-05-27 at 8.27.54 PM.png

2.

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1.

Screen Shot 2018-05-27 at 8.28.10 PM.png

Everything

As always, here is all the data I collected this week:

CoinPower Rating (of 100)VolumeSentiment (of 100)Passion(of 100)Influencers
ACAT48195661
ADA74.5760474
AION11.512291
AIX6.511291
AKL11.512291
ALQO39.538532
APH35.5168971
APPC11.512291
ARDR47243202
ARK45.5190531
AURA73377283
BAT57.5262531
BBK11.512201
BCC4.518841
BCH56.5920234
BCN36.5221842
BIS3837753
BITG11.512201
BIX25.5150281
BLOCK57.5262732
BLZ48243362
BMC43186841
BNB11.512201
BPT45.5322272
BTC71271415061
BTX3940981
BUSS43186381
CNN55342241
COLX43186381
COV25.5150531
CRNC40.5180281
CVC35.5168841
CXO49.5198841
DASH5125092
DAXT45.5322183
DBC6.511291
DBET57.5262662
DBIX71290531
DCR72467382
DERO11.512201
DIG45.5190531
DNT0.510661
DOGE35.5168381
DOT11.512291
DRGN58.51220253
DXT45.5190531
ECA67365451
ECC214381
ELEC43186841
ENG32212252
EOS4456465
EQL11.512201
ETH59.539205221
ETH11.512201
EVX58347182
EXC68.5368273
FLEA43186991
FOR11.512201
FOTA50199911
FUN57262532
GIN64.5642362
GVT50199911
HKN50422823
HOT40.5180761
HTB68.5286531
ICX63448904
IMPUY11.512201
INXT85.5589633
IOST43312763
IOTA4354765
IPBC48195981
KEC73.5758281
KIN40.5180661
KMD32212761
KORE45.5190531
LBC35.5168381
LBC?4.518531
LEND11.5122281
LGO25.5150381
LINDA64545661
LINK49197761
LMC11.512201
LNS25.5150531
LOOM68.5368842
LTC57.5922197
LTCBTC25.5150201
LWF35.5168911
MAID3722201
MANA11.5122201
MBC0.510661
MCO25.515091
MENLO45.5190531
MORPH25.5150281
MSP1.513951
MWAT72467283
NANO57922503
NAV25.515091
NBAI1.513931
NCASH0.510661
NEBL52522343
NEO68.5748644
NIHL61268281
NLX75568892
NOS11.512291
NYE40.5180661
OCN73.521493310
OKB25.5150841
OPEN68280652
OST86.5685813
PASC3837821
PCN83397951
PHR78478903
PIRL45.5190951
POE11.5122991
POSW11.512201
PRL31.5211822
QASH3722201
QSH6.511291
RDN45.5190531
REL45.5190531
REN40.5180281
REP4.518201
RLC82.5776642
RLT6.5112761
RPX68.5368661
RTO25.515091
SALT35.5168531
SCRL11.512291
SCT35.5168201
SEN32212251
SENT50519385
SHIFT40.5180931
SHIP48.5419934
SKY77.5668344
SNM49197761
SPX11.512201
SS86980666
STORM6.5112931
STRAT601322465
SUICIDE4.518381
SWTH6.5112911
TAU2620662
TAY11.512201
TEL65278842
TFD25.5150661
THETA61268381
TKY40.5180951
TOMO51250531
TRAC40312351
TRIG25.5150281
TROLL28.525761
TRX8041606415
TRY11.5122381
TSC65278472
TUBE79577234
UBT72.51149755
VEE51250201
VEN65361662
VIA3.517281
VRA60443513
WABI70.5290472
WAN73.5758645
WAVES79965504
WAX11.512291
WPR57.5262252
WTI11.5122761
XAP6.511291
XBY25.515091
XEM4724392
XLM47512363
XLQ11.512201
XLR73377531
XMCC48195661
XMN66280891
XMR58347373
XN77.5962453
XPT35.5168381
XPTX4724381
XRB11.512201
XRH74.5760833
XRP70.5559385
XSN88.5886843
XTL811265444
XVG58.52218749
XXX4.518531
XZC2825762
ZCL37222732
ZEC48.585516
ZEN61268472
ZIL63.5545494
ZPT25.515091
ZRX72.534463513

The Influencers

Below are the original 40. I'll get around to adding the rest at some point, but you can find them all here.

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, in a neutral way 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 both volume 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.

Sort:  

What happened to LUX?

No one mentioned by name last week. Consider it neutral for the moment.

XSN is a really serious project...