Over 170% cumulative return of Verge from sentiment and mentions analytics signals over the last ten days

We track millions of social media posts and use machine learning to determine sentiment of cryptocurrencies in real-time. Hourly sentiment can provide opportunities for profit especially in turbulent times like the last week. One signal we look for are surges in either hourly sentiment or tweets mentions like seen in the chart below for Verge which we regard as bullish signals (when occurring in a consolidating or downward price trend):

As you can see there was a sentiment and mentions surge (signal 1) and (signal 2) and sentiment surge (signal 3). We plotted these signals on the price chart of Verge:

As you can see after the first and third signal, price rallies were especially big. The total compounded return from these signals was around 170% and occurring in time when most other cryptocurrencies actually fell. If you want to improve your trading in cryptocurrencies you can start using our platform BittsAnalytics – just subscribe at www.bittsanalytics.com.

Sentiment analytics trading signal hit the Bitcoin low point almost to the hour resulting in 15% return on Bitcoin

We track millions of social media posts and use machine learning to determine sentiment of cryptocurrencies in real-time. Hourly sentiment can provide opportunities for profit especially in turbulent times like the last week. One signal we look for is a drastic fall in hourly sentiment followed by a sharp sentiment reversal in positive direction, like seen in the chart below for Bitcoin:

It occurred on 1st April 5 pm UTC time. The price at the time was 6500 USD and it was literally the low point of this latest correction. While this kind of sentiment signal was correct in many past cases as you can read in numerous posts on our blog, this time it hit the low point practically within an hour. The price has then rallied from 6500 to of 7500 USD at the time of this blog post. That is a return of almost 15% in just a couple of days on the main cryptocurrency. If you want to improve your trading in cryptocurrencies you can start using our platform BittsAnalytics – just subscribe at www.bittsanalytics.com.

Tron up 85% since social media surge on 18th March

We track millions of social media posts and use machine learning to determine sentiment of cryptocurrencies. Below is hourly sentiment of tweets mentioning Tron over the last period.  We often look for any surges in tweets mentions because buzz is often ahead of price. As you can see in the chart below, the tweets mentions surged on 18 March 7 am UTC time when the price was around 0.265 USD and so has the sentiment associated with the tweets. As we have already posted in other such cases in the past this means a major bullish signal and Tron has indeed rallied since then for a gain of 85% in just one week.

A similar surge can also be observed with tweets mentions aggregated on daily basis:

We also do NLP analysis of themes discussed and generate tagclouds. As you can see in the following picture below, one of the main topics is the upcoming launch of Tron test net:

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 subscribing to our platform www.bittsanalytics.com.

Return on Particl 70% – example of using social media analytics combined with advanced technical analysis

In this post we would like to demonstrate how to use our social media analytics combined with our advanced technical analysis on the example of Particl.

Particl had a surge in sentiment and tweets mentions around a week ago. See our tweet from that time:

twitter.com/bittsanalytics/status/969388576575279105

By looking at the hourly data we can see sentiment and mentions surged on 28th February 8pm UTC time when the price of Particl was around 20.8 USD.

While the sentiment somewhat receded this was followed later by another surge in tweets mentions on 3rd March. Social media momentum was strong.

If we now look at the bands provided by our platform:

you can see 1) weak or white band between 30 USD and 32 USD. 2) stronger resistance band above 32 USD. From our bands we would expect a rapid rise from 30 USD to 32 USD and then consolidation or fall back to lower levels. One trading way in addition to original long position is to put a limit buy order at 30 USD and limit sell order at 32 USD. And this is indeed what happened regarding the band 30-32 eventually confirming again the valuable insight from our BittsBands (you can also see how fast was the increase from 21 to 26 USD where the resistance bands were very weak) . See updated chart below:

Total return from original levels around 70%.

If you want to start using our platform subscribe at www.bittsanalytics.com.

 

 

Lunyr up more than 100% in one day since social media mentions surge

We track millions of social media posts and use machine learning to determine sentiment and number of mentions for 200+ of cryptocurrencies in real-time. Below are hourly number of tweets mentions for Lunyr. The tweets mentions jumped by more than 8 times February 23 at 5 pm UTC time. For us that was a huge bullish signal.  And indeed, over the next 24 hours the price jumped by more than 100%. We often find that the social media buzz is ahead of price.

 

Trading hourly sentiment reversals in recent downturn – around 30% return on Bitcoin from 6th to 7th February

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Hourly sentiment can provide opportunities for profit especially in turbulent times like the last few days. One signal we look for is a prolonged fall in hourly sentiment followed by a sharp sentiment reversal in positive direction, like seen in the chart below for Bitcoin:

It occurred on 6th February 6am UTC time. The price at the time was 6200 USD and has since then rallied to the price of 7700 USD at the time of this blog post. That is a return of almost 30% in around a day. Find out more about our data and analytics tools at www.bittsanalytics.com.

Trading hourly sentiment reversals in recent downturn – 15% in around one day on Bitcoin

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Hourly sentiment can provide opportunities for profit especially in turbulent times like the last few days. One signal we look for is a prolonged fall in hourly sentiment followed by a sharp sentiment reversal in positive direction, like seen in the chart below for Bitcoin:

It occurred on 2nd February 1pm UTC time. The price at the time was 8050 USD and then quickly rallied for the intermediate high of 9377 USD for a return of over 15%.

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 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.

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.