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Analysis: The top 14 altcoins to watch this week in the dry market

In this week’s analysis, Remy Stephens dives into the altcoins which are showing the highest sentiment in the quiet market.

Written by Remy Stephens Published on

Every I write one of these on a Sunday night and Bitcoin hasn’t moved, it gets a little more stressful.

But here we are. Another week, another period of near no movement for $BTC.

And things have gotten a little quieter among the 150+ influencers and traders I follow. Most have stated opinions at this point, but aren’t posting about them as much because, well, we’re all just waiting.

You can see this pretty clearly on my market sentiment charts.

We’re pretty much dead even for $BTC sentiment, after riding high for most of the previous week.

That’s been mixed, but mostly positive news for the alts. And as long as we stay put in this increasingly tight range, I don’t see why that wouldn’t continue.  But sooner or later, this tightening Bitcoin channel is going to break, and it’ll probably be pretty dramatic when it does.

So if you’re going to dive into the Alts, do it with care.

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.

One important note: Pay close attention to the previous week’s price action. High sentiment can indicate both a possible move or a possible peak in price, however temporary. I’ll be adding signals soon to indicate this, but be wary of any coin with a major price shift in the last week. 

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The Data

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

CoinSentiment
(of 100)
VolumeInfluencersPower Rating
ABP221111
ABYSS522138
ACAT11115.5
ACT4112
ADA48181071.25
ADC961148
ADX672145.5
AE182121
AELF672145.5
AEX72115.5
AGIBTC521126
AION6310676.5
ALQO184243.5
AMB521126
AMP22229.25
ANC791139.5
ANDY862155
ANON982161
ANS522254.25
APPC961148
ARK762266.25
ARN745273.25
ATMI791139.5
ATVI671133.5
AURA205130
BAT74151084.25
BAX671133.5
BBK783271.5
BCH4414868.25
BCN221111
BCN€¦791139.5
BIS673369.25
BITG863159.25
BLOCK204128.25
BLZ521126
BNB62411679.5
BNG521126
BOD2111
BOX861143
BPT671133.5
BQX912157.5
BTC424738671
BTC-221111
BTC”0110
BTC€¦164447.75
BTCX222239.25
BTX911145.5
BVO221111
BWK4314260.75
BXY664370.75
BZX434139.75
CAN521126
CATO521126
CDT221111
CHAT22229.25
CLDR221111
CLO941147
CLQ791139.5
CMT483140.25
CNN671133.5
COLX221111
CRDZ221111
CRW672261.75
CTR4112
CTS221111
CV961148
DACC24235.5
DADI791139.5
DALA962160
DASH92116.5
DAX221111
DB1110.5
DBIX791139.5
DBX0110
DCR497365.5
DENT671133.5
DERO477261.25
DEV504143.25
DGB215350
DIG8114
DIVC941147
DJI444359.75
DNR861143
DOGE797683.75
DOT762266.25
DP862155
DRGN672261.75
DRK11115.5
DTA92116.5
DXY11115.5
DXY€¦911145.5
DYN475143.5
EDR221111
EEM221111
ELF222123
ENG82232.25
ENJ653265
EOS21301058.25
ESE861143
ETC647676.25
ETH51482374.75
ETHOS42230.25
ETN941147
ETST221111
EVE911145.5
EVI221111
EVX777379.5
EXRN861143
FLASH832153.5
FOR991149.5
FOTA516263
FROK861143
FUEL173124.75
FUN759481.25
GAME4112
GANN221111
GAS221111
GCC521126
GFY613146.75
GGP221111
GIGA941147
GIN827484
GLD221111
GNO221111
GO857164
GRS4112
GVT7920986.75
HEXX221111
HG221111
HKN1618351
HMNY523142.25
HOLO941147
HOT7610582.75
HXRO832153.5
HYG221111
ICX61431979.5
INDA521126
IOST854380.25
IOTA521126
IOTX113238
ITA911145.5
IWM182121
JNJ785159
KEK791139.5
KEY522254.25
KIN671133.5
KLKS2114353
KMD515467
LAND4112
LBC22229.25
LDOGE221111
LEND854380.25
LEV221111
LEX221111
LIFE221111
LINDA671133.5
LINK176129.75
LOL11115.5
LOOM4112
LPT4112
LRC832269.75
LSK2111
LTC22131258
LUN215350
LUX653368.25
MAN8114
MANA113121.75
MAS903161.25
MBC221111
MCO832269.75
MDX524144.25
MEDX943163.25
METM188131
MFI483140.25
MFIN221111
MFT7610582.75
MINT521126
MKR442134
MSP525467.5
MSR221111
MTL221111
MUE674371.25
MVIS442134
MWAT642260.25
NANO223346.75
NCASH791139.5
NCT4112
NDX203242.5
NEBL523258.5
NEO42230.25
NEXO679779
NIFTY672145.5
NIO906282.5
NIX0110
NIX€¦8114
NPXS42412369.75
NPXSONCE861143
NULS221111
NVDA672145.5
NXPS164447.75
NXS11115.5
OCE671133.5
OCN48652973.5
OMG911145.5
OMNI92116.5
ONION941147
ONT221111
OST991149.5
PAL221111
PASC442134
PAY182237.25
PHR657270.25
PHX862155
PINK64521126
PIRL615370
PIVX425360.5
PK221111
POE941147
POLY114445.25
PPT221111
PRL221111
PSEC221111
PSJ671133.5
PTOY671133.5
PXS521126
PYN221111
QASH8114
QKC444461.75
QLC221111
QNT483140.25
QSH11115.5
RBBT221111
RDD862271.25
RDN215452
REN521126
ROCK11115.5
RUPX442134
RVN791139.5
SAFEX221111
SALT4112666
SB_F221111
SC21401058.5
SCRL524260.5
SCT113121.75
SGR0110
SHA635151.5
SKY522254.25
SLV221111
SMCI961148
SNAP92232.75
SNM521126
SNT861143
SOMA11115.5
SONO521126
SPANK961148
SPHTX223127.25
SPR861143
SPX1110.5
SPY182237.25
SRN912157.5
START221111
STEEM911145.5
STONE522138
STORM853378.25
STRAT788482.5
SUB991149.5
SWFTC1110.5
SWM1712452.75
SYS221111
TAU961148
TAYLR92232.75
TBPH221111
TEL764375.75
TFD114123.75
THETA221111
THT221111
TKY836585.25
TLER521126
TOM221111
TOMO6641980.75
TPAY€¦221111
TRAC912273.75
TROLL4112
TRX42421870
TUBE435463
UBEX2111
UBQ673369.25
UPX€¦11115.5
UUU523142.25
VEE911145.5
VET5215369
VIA442250.25
VIBE442134
VIX221111
VOISE221111
VOT11115.5
VTC11115.5
WABI8114
WAN5022972.25
WAVES665269.25
WENDO832269.75
WGR753153.75
WSX8313164.25
WTC504362.75
X”4112
XAP991149.5
XBY223346.75
XCU613263
XDN613263
XEM11115.5
XG791139.5
XHV5124973
XHVD673369.25
XLM5218973
XLMBTC962160
XLQ204347.75
XLR6324578
XMR764375.75
XPT791139.5
XRP471345173
XRR221111
XSN522138
XTL675373
XTZ644471.75
XVG75141284.75
XX221111
XZC7413582.25
Z9672145.5
ZCL483256.5
ZEC6510778
ZEN225247.25
ZIL6214977.5
ZINC221111
ZL_F221111
ZPT671133.5
ZRX44431770.75

 

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.

Start trading cryptocurrency with Coindirect.

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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