Ravencoin up 80% since the initial rally in real-time sentiment

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 Ravencoin as another case study of application of sentiment analytics for profitable trading. On 17th October it had a big jump in sentiment, see our tweet from that time:

 

Ravencoin proceeded to make a return of over +80% after the sentiment signal. Real-time social media analytics tools are available as part of our advanced subscription, you can find more information at:

https://www.bittsanalytics.com/subscribe.php

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

 

 

Sentiment again a very useful warning signal for Bitcoin price

In this post we are looking at recent social media sentiment data for Bitcoin. Sentiment is determined with machine learning from analysis of texts in social media posts about Bitcoin.

By analysing first the sentiment on the daily basis we notice that it had a very strong spike a few days ago:

For those who are reading our blog posts over the last year, this usually means a major price decrease in the near future. For previous such examples of Bitcoin falling after reaching high levels of sentiment see e.g. one of our previous blog posts on this topic:

Bitcoin again falls after reaching sentiment high – for the fourth time the warning was correct

We have recently introduced an even more detailed sentiment analytics, on hourly level. If you examine the picture of hourly sentiment:

you will notice that although the prices were relatively high the sentiment was really on the lower part of historical range for the last 10 days. Just before the price fell, it was again near the trough. Especially concerning was also the development days ago when the hourly sentiment reached record levels without any major movement in price itself.

Our sentiment analysis tool was thus again proven extremely valuable for market timing. If you want to know more about it read our other blog posts or subscribe at:

https://www.bittsanalytics.com/subscribe.php

Siacoin rallies after real-time sentiment jump for a return of 20+%

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:

https://www.bittsanalytics.com/subscribe.php

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