Bitcoin sentiment fell again yesterday to levels last seen on 18th January and the price is also on levels from 18th January

Bitcoin sentiment determined with machine learning from tweets cooled down yesterday. BTC sentiment is now on similar level as on 18th January. And the price is also where it was approximately on those dates. After the rebound of Bitcoin from lows two weeks ago the rally has stalled both in sentiment as well as in price.

If you want to use data like this as an additional source of information to improve your cryptocurrency trading, you can get it at our platform www.bittsanalytics.com.

Populous up 70% in a week since sentiment surge

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies. We can become interested in a cryptocurrency for many different reasons based on our data, three such examples are:

  • cryptocurrency had a large jump in tweets mentions
  • it had a large jump in sentiment as determined with machine learning from tweets about it
  • it had a large increase in both sentiment and tweets mentions number

We are especially interested in coins which are below the top 10 in terms of market cap but still among the top 100 (those that are below 100 have smaller number of tweets and the sentiment can thus be less statistical significant). One of the latest examples for second kind of signal was Populous. It had a surge in sentiment on 22th January, see chart below. Since then its price increased around 70%.

We also wrote about the surge in Populous sentiment in our twitter account in that period:

twitter.com/bittsanalytics/status/955899987879170061

If you want to use data like this as an additiona source of information to improve your cryptocurrency trading, you can get it at our platform www.bittsanalytics.com.

 

 

RChain up 25% since jump in tweets mentions

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies. We can become interested in a cryptocurrency for many different reasons based on our data, three such examples are:

  • cryptocurrency had a large jump in tweets mentions
  • it had a large jump in sentiment as determined with machine learning from tweets about it
  • it had a large increase in both sentiment and tweets mentions number

We are especially interested in coins which are below the top 10 in terms of market cap but still among the top 100 (those that are below 100 have smaller number of tweets and the sentiment can thus be less statistical significant). One of the latest examples for first kind of signal was RChain. It had a large jump in tweets mentions on 21th January, see chart below. Since then its price increased around 25%.

We also wrote about the jump in our twitter account in that period:

twitter.com/bittsanalytics/status/955530979807985664

If you want to use data like this as an additiona source of information to improve your cryptocurrency trading, you can get it at our platform www.bittsanalytics.com.

 

 

Aelf – surge in tweets mentions and sentiment

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies. One of the cryptocurrencies which we became recently  interested in is Aelf. We first noticed it after a sentiment surge on 19th January, see our tweet from that period:

twitter.com/bittsanalytics/status/954869833505693696

After the sentiment surge, Aelf made a quick rally of around 20% in a day and is still at some decent return since then and yesterday had another big jump in tweets mentions while it remains at a very high sentiment. Will be watching this one to see if it can make a rally to even higher prices. This is also a nice example of one way that we use our portal BittsAnalytics:

  • we watch for either surge in tweets mentions or for a surge in sentiment
  • if we decide to enter position then we monitor what is happening with those two categories on a daily basis to see whether to add or subtract from our positions

This is actually just one of many ways we use BittsAnalytics for profitable trading. You can use it yourself by becoming our user at www.bittsanalytics.com.

 

How sentiment could help you reenter position after downturn and make 20% on Bitcoin in latest rally

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies. Sentiment and other social media data can often greatly help you in cryptocurrency trading. E.g. the most recent big decisions were 1) should you go back in market (if you decreased positions before) and 2) if yes then when to do it. We track hourly sentiment for Bitcoin determined with machine learning from tweets, see the chart below. And came to the conclusion that a very good reentry point was on 17th January 9am UTC time since the sentiment showed that the worst seemed to be over for Bitcoin. The price at that point was around 10.500 USD so it was a good point for (re)entry. Bitcoin has rallied about 20% since then.

Tweets mentions and sentiment are often ahead of the price and you can start using sentiment and tweets mentions data like this to improve your cryptocurrency trading by using our platform www.bittsanalytics.com.

Bitcoin sentiment falls much more in time of distress than Ethereum

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies. Our platform allows many analysis including comparisons and in the chart below you can find the sentiment comparison between Bitcoin and Ethereum. It is quite interesting to see how during the latest downturn it seems that the Bitcoin was mostly mentioned in the negative posts and thus bared the brunt of negative comments. On the other hand it got a lot of free publicity as well.

If you want to know how you can improve cryptocurrency trading with sentiment and other data from social media read our blog posts:

http://www.bittsanalytics.com/blog/category/bittssignals/

Cardano had a sentiment reversal on 11th January, up 20% since then

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Below is real-time sentiment of tweets mentioning Cardano over the last period.  We often look for any extremes in hourly sentiment because often sentiment is ahead of price. As you can see the hourly sentiment of Cardano made a major sentiment reversal on 11th January, 9am UTC time. As we have already posted in other such cases in the past this means a major bullish signal and indeed Cardano has rallied since then for a gain of around 20% in a couple of days.

Tweets mentions and sentiment are often signals for price movements and you can start using sentiment and tweets mentions data like this to improve your cryptocurrency trading by using our platform www.bittsanalytics.com.

EOS had a sentiment reversal on 11th January and jumped by 60% since then in around two days

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Below is real-time sentiment of tweets mentioning EOS over the last period.  We often look for any extremes in hourly sentiment because often sentiment is ahead of price. As you can see the hourly sentiment of EOS made a major sentiment reversal on 11th January, 4am UTC time. As we have already posted in other such cases in the past this means a major bullish signal and indeed EOS has rallied since then for a gain of around 60% in around two days.

Note also (see picture below) that at around same time there was also a spike in tweets mentions of EOS which is another confirming indicator.

Tweets mentions and sentiment are often ahead of the price and you can start using sentiment and tweets mentions data like this to improve your cryptocurrency trading by using our platform www.bittsanalytics.com.

Yesterdays sentiment fell for most of the big cryptos, today their price is down as well

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. An interesting happened yesterday regarding the sentiment of cryptocurrencies, most had their sentiment fall.

See examples, first Bitcoin: 

Ethereum: 

Bitcoin Cash: 

Cardano: 

Litecoin: 

Nem: 

Stellar Lumens: 

Sentiment is often ahead of the price and you can start using sentiment data like this to improve your cryptocurrency trading by using our platform www.bittsanalytics.com.

 

Tron with sentiment reversal on 29th December is up around 270% since then

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Below is real-time sentiment of tweets mentioning Tron over the last period.  We often look for any extremes in hourly sentiment because often sentiment is ahead of price. As you can see the hourly sentiment of Tron made a major sentiment reversal on 29th December. As we have already posted in other such cases in the past this means a major bullish signal and indeed Tron has rallied since for a gain of more than 270%. 

Note also (see picture below) that at around same time there was also a spike in tweets mentions of Tron which is another confirming indicator.

Tweets mentions is also like sentiment often ahead of the price and you can start using sentiment and tweets mentions data like this to improve your cryptocurrency trading by using our platform www.bittsanalytics.com.