Lisk up 40% after rebounding on bottom pattern and our BittsBands

Our BittsAnalytics platform uses artificial intelligence to provide its users with automated recognition of technical chart patterns for the cryptocurrency market. We also use deep learning to generate our BittsBands that show price bands with increased probability of resistance. In this post we would like to demonstrate how use of both features can lead to high returns.

As you can see in the following picture Lisk had a bottom pattern already formed through dips in December and End of March. And what happened recently is that it had indeed bounced on that bottom support line of 6.9 USD to deliver a return of 40%.

Note that our BittsBands also indicated a strong resistance in the area around 7 USD indicating a higher probability of the price bouncing on this level. You can also see that it has already bounced on this level several times in December. And that has indeed happened confirming the value of our BittsBands framework yet again.

If you want to use automated detection of chart patterns with artificial intelligence and our advanced BittsBands (as well as many other advanced tools) to improve your cryptocurrency trading it is easy Рsubscribe and become one of the many users of our platform BittsAnalytics at

Lisk had a sentiment surge on 30th January, next day up 50% during the day

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

One of the latest examples for second kind of signal was Lisk. It had a surge in sentiment on 30th January, see chart below. Next day price jumped during the day by more than 50%.


As you can see from the chart of hourly sentiment below there was a sentiment jump already at the start of 30th January.

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