BittsAnalytics platform offers real-time social media analytics for cryptocurrencies – determining number of social media mentions as well as sentiment on an hourly basis. This allows assessing both the current buzz about the cryptocurrency as well as its sentiment (positive or negative). Sentiment is determined by applying machine learning models on texts of social media posts.

In this post we focus on Siacoin as another case study of application of sentiment analytics for profitable trading. A few days ago it had a big jump in sentiment, see our tweet from that time:

Siacoin proceeded to make a quick return of over +20% after the sentiment signal. Real-time social media analytics tools are available as part of our advanced subscription, you can find more information at:

For other recent examples of using real-time analytics read our recent blog posts:

Electroneum up 230% since a sentiment signal from real-time social media analytics

Ripple up more than 100% since a spike in social media mentions

Nano up more than 50% since surge in social media mentions on 11th September