Last week we were talking about how Bitcoin was approaching a big decision. That decision, for the moment, appears to be bullish.

While the 154 crypto influencers and traders I follow for my sentiment analysis were split heading into last week, today they’re more bullish than they’ve been in months.

Alts remain bullish, but have cooled off after a nice couple of weeks. Let’s look at the charts.

$BTC has outperformed the expectations of the folks I follow who remained bearish last week, and saw its sentiment peak today with the price coasting above $7,300 USD and a green weekly close for the third straight week.

That doesn’t guarantees it’ll be all roses. Several have questioned how long this run could last after more than two weeks of bullish action. Daily indicators suggest a cooling off period is necessary before long.

Still, it’s nice to see some sustained positive sentiment. It’s just not clear how long it will last.

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’s all the data I collected this week.

Coin Sentiment

(of 100) Volume Influencers Power Rating ABYSS 81 4 1 57 ACED 75 9 3 76 ACT 67 1 1 33.5 ADA 47 49 21 72 AE 94 2 1 57 AION 19 1 1 9.5 ALQO 94 10 4 88 AMD 81 1 1 40.5 ARDR 19 2 2 33.5 ARK 19 2 2 33.5 AUM 88 1 1 44 AURA 43 8 6 63.25 BAK 67 1 1 33.5 BAT 38 7 5 59.5 BCC 19 1 1 9.5 BCH 17 43 19 56.75 BCN 77 4 4 75 BCO 67 4 3 68.25 BIS 10 2 1 15 BITG 47 1 1 23.5 BLK 19 1 1 9.5 BLOCK 10 2 1 15 BLZ 43 7 5 62 BNB 46 35 10 69.25 BTC 40 753 96 70 BTCP 86 2 2 67 BTG 2 12 2 36.75 BTS 42 3 2 48.75 BURST 81 1 1 40.5 BWK 77 22 2 75.75 BYOC 12 1 1 6 BZNT 67 1 1 33.5 CACHE 3 1 1 1.5 CANN 12 1 1 6 CAP 1 1 1 0.5 CATO 60 4 2 60.5 CET 19 1 1 9.5 CGC 12 1 1 6 CMT 41 2 2 44.5 CNN 35 9 1 37.75 COLX 44 7 1 41 COSS 47 1 1 23.5 COV 19 1 1 9.5 CRNC 47 1 1 23.5 CRW 60 2 2 54 CS 5 1 1 2.5 CTK 5 1 1 2.5 CVC 81 1 1 40.5 DADI 47 1 1 23.5 DAI 5 2 1 12.5 DART 93 4 1 63 DASH 43 32 16 69 DATA 81 1 1 40.5 DBIX 12 3 2 33.75 DBX 19 1 1 9.5 DCR 88 8 4 83.75 DDGE 0 1 1 0 DENT 47 2 2 47.5 DEV 16 5 1 25.75 DGB 74 14 7 81.25 DGBBTC 19 1 1 9.5 DIS 47 1 1 23.5 DOGE 60 124 47 79.5 DRGN 17 5 5 47.75 DTB 67 3 2 61.25 DXY 12 1 1 6 DYN 47 4 1 40 ELA 75 3 2 65.25 ELF 64 3 1 45.75 ENG 9 3 2 32.25 EOS 19 125 16 58.25 EOS- 47 1 1 23.5 EQL 100 1 1 50 ESH 67 1 1 33.5 ETC 57 17 12 74.5 ETH 37 94 41 67.75 ETHU18 19 2 1 19.5 ETN 97 2 2 72.5 ETP 47 2 2 47.5 EUR 47 2 1 33.5 EURCAD 47 1 1 23.5 EXP 19 1 1 9.5 EXRN 47 1 1 23.5 EXUS 5 1 1 2.5 F 19 1 1 9.5 FDC 19 1 1 9.5 FDR 66 7 3 70.25 FMG 19 1 1 9.5 FOR 88 3 2 71.75 FOTA 19 1 1 9.5 FUN 81 2 2 64.5 GAS 67 2 2 57.5 GCASH 95 2 1 57.5 GET 88 2 1 54 GFY 19 9 1 29.75 GIC 10 2 1 15 GIN 67 3 3 65.5 GM 67 1 1 33.5 GMT 67 1 1 33.5 GNT 47 3 2 51.25 GO 88 3 2 71.75 GVT 85 8 1 62.25 HER 47 1 1 23.5 HKN 19 1 1 9.5 HMNY 18 11 2 44.25 HOT 64 25 14 78.75 HSR 97 1 1 48.5 HUC 0 1 1 0 I 42 7 1 40 ICX 34 49 15 64.75 IFT 67 1 1 33.5 IOST 88 1 1 44 IOT 36 3 2 45.75 IOTA 60 15 10 75.25 IOTX 47 1 1 23.5 JEW 19 1 1 9.5 KEY 16 3 1 21.75 KIN 60 10 2 65 KLKS 40 20 4 63 KMD 64 8 4 71.75 LGD 47 1 1 23.5 LIFE 96 6 1 66.5 LINDA 88 2 1 54 LINK 59 3 3 61.5 LMT 19 1 1 9.5 LOOM 88 11 4 85.25 LRC 99 1 1 49.5 LTC 33 52 10 63.5 LUN 97 1 1 48.5 LUX 41 4 1 37 LVH 81 1 1 40.5 MAN 9 3 3 36.5 MANA 57 10 3 67.75 MDX 81 2 1 50.5 MEDX 77 2 2 62.5 MFT 67 13 6 77.5 MKR 85 3 2 70.25 MORE 96 1 1 48 MSFT 1 1 1 0.5 MSP 2 2 2 25 MTL 0 1 1 0 MU 67 1 1 33.5 MUE 12 3 2 33.75 NANO 34 26 17 64.75 NAS 47 1 1 23.5 NCASH 79 9 3 78 NCP 47 1 1 23.5 NDB 5 1 1 2.5 NEBL 88 2 1 54 NEO 19 41 17 57.5 NEX 60 2 2 54 NEXO 75 3 2 65.25 NIO 15 2 1 17.5 NIX 19 1 1 9.5 NPXS 62 17 5 75.25 NULS 67 1 1 33.5 NXPS 67 1 1 33.5 NXT 94 3 1 60.75 OCE 47 1 1 23.5 OCN 39 9 3 58 OMG 93 4 3 81.25 OMNI 36 3 2 45.75 ONT 10 14 11 50.25 OPNT 19 1 1 9.5 OST 99 1 1 49.5 PART 1 1 1 0.5 PASC 41 2 1 30.5 PHR 65 10 4 73.5 PINK 36 3 1 31.75 PIRL 66 10 3 72.25 PIVX 36 6 4 56.5 PKC 67 1 1 33.5 POA 86 2 1 53 POE 19 2 1 19.5 POLIS 88 1 1 44 POLY 79 3 2 67.25 POWR 5 1 1 2.5 PROC 67 1 1 33.5 PTOY 47 1 1 23.5 PWR 81 1 1 40.5 QKC 10 2 2 29 QSP 64 3 1 45.75 QTUM 81 7 7 81.75 RDD 81 1 1 40.5 RDN 5 2 1 12.5 REN 79 3 3 71.5 REP 3 1 1 1.5 REQ 47 1 1 23.5 RPX 1 1 1 0.5 RUPX 45 9 1 42.75 RVN 95 4 3 82.25 SAFEX 12 1 1 6 SAFU 96 1 1 48 SBUX 5 3 2 30.25 SC 58 7 4 68 SCRL 88 2 2 68 SCT 75 3 1 51.25 SENT 4 6 4 40.5 SGMO 5 1 1 2.5 SHA 80 5 1 57.75 SHIFT 19 1 1 9.5 SMART 86 4 3 77.75 SPACE 5 1 1 2.5 SPX 58 8 5 70.25 SPY 15 2 2 31.5 SQ 77 2 2 62.5 SS 97 4 3 83.25 STEEM 19 1 1 9.5 STONE 59 6 2 62 STORJ 88 1 1 44 STORM 19 1 1 9.5 STRAT 35 4 3 52.25 SUB 42 3 2 48.75 SUN 77 2 1 48.5 SYS 5 1 1 2.5 TEL 44 5 1 39.75 TFD 12 4 3 40.75 THR 12 1 1 6 TLRY 47 1 1 23.5 TOMO 39 9 3 58 TPAY 12 5 1 23.75 TRC 47 2 1 33.5 TRX 58 69 21 78 TT 67 2 1 43.5 TUBE 75 6 4 76 TWTR 86 2 2 67 TXMD 97 1 1 48.5 UBQ 4 3 2 29.75 UBT 19 1 1 9.5 USO 19 1 1 9.5 UUU 88 1 1 44 VEN 19 1 1 9.5 VET 63 72 15 79.75 VIA 63 11 10 75.5 VIBE 19 1 1 9.5 VIX 19 1 1 9.5 VNX 88 1 1 44 WABI 56 15 9 73.25 WAN 66 49 15 80.75 WAVES 46 11 4 64.25 WCT 19 1 1 9.5 WRP 47 1 1 23.5 WTC 46 39 10 69.5 WWE 95 1 1 47.5 XAU 5 1 1 2.5 XBT 38 20 5 63.5 XCP 60 2 1 40 XDN 67 2 2 57.5 XEM 88 1 1 44 XG 19 1 1 9.5 XHV 47 2 2 47.5 XLM 38 14 9 63.75 XLQ 19 1 1 9.5 XLR 56 11 3 67.5 XMR 45 18 12 68.75 XRP 35 57 23 66.25 XSN 79 8 2 73.25 XTZ 19 1 1 9.5 XVG 33 14 7 60.75 XZC 39 9 4 59.75 YOU 19 1 1 9.5 ZCL 76 15 4 80.5 ZEC 17 5 4 46.25 ZEN 79 3 3 71.5 ZIL 57 14 6 72.5 ZINC 85 6 4 81 ZPT 19 5 2 41.25 ZRX 34 19 14 63.5 ZS_F 3 1 1 1.5

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.