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:


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.