Press "Enter" to skip to content
lucadp/Shutterstock.com

Highest attention for REPO, MEET.ONE und Aidos Kuneen. These and other crypto currencies are the focus of discussion

Updated on 09/19/2019 at 11:01 am CEST

Frankfurt am Main/Bonn (spn).

In the middle of the week, these heavily discussed crypto currencies are the focus of market participants in social media (updated: 11:00 am CEST):

Rank Crypto Symbol Buzz Price Change Time
1. REPO REPO 16.122% 0.0646025553131 USD -28.1% 11:00 am
2. MEET.ONE MEETONE 10.082% 0.00152050278923 USD -5.5% 11:00 am
3. Aidos Kuneen ADK 8.029% 4.05072016444 USD +8.9% 11:00 am
4. Tratok TRAT 7.337% 0.00386929664764 USD -17.6% 11:00 am
5. IoT Chain ITC 4.210% 0.161643235682 USD -0.8% 11:00 am
6. BitMart Token BMX 1.939% 0.0311831710019 USD -2.9% 11:00 am
7. Jarvis+ JAR 1.910% 0.0100581159765 USD -5.6% 11:00 am
8. Bitcoin Atom BCA 1.793% 0.0710609020175 USD -22.6% 11:00 am
9. Kalkulus KLKS 1.777% 0.00614159773113 USD -11.6% 11:00 am
10. Defi DEFI 1.702% 0.0819373964822 USD -8.6% 11:00 am
11. Bounty0x BNTY 1.693% 0.00313985471586 USD -6.6% 11:00 am

Background: Buzz is a measure for the intensity of communication about a crypto coin. Put simpler: Buzz shows the level of attention from market participants. The value refers to the average number of opinions, tweets and messages for each crypto coin, thus the value is expressed as percentage. 100% means that currently the normal amount of messages is observed. 500% means that the crypto coin is currently discussed five times more than on average. StockPulse is a pioneer in the area of Big Data analyses for financial markets.

– – – – – – – – – – – – – – – – – – – –

Please be aware that buzz and sentiment values for crypto coins can be subject to very high volatility, just like regular security prices.

To calculate these values StockPulse considers millions of Tweets, news, and social media posts about the financial markets each day. Buzz and sentiment data should be seen as short-term indicators and are updated continuously. StockPulse is an expert in the area of Big Data analyses for financial markets.