Markets are moving again and so are the social media metrics. Shorter and longer term scores are available in the report!
Full report (9.99 EUR)
A new ICO report is available. Find out which ICO’s receive most Twitter attention!
Full report (€4,99)
The latest report introduces a major update on short-term signals!
This is request I received frequently from people using the regression tool, which offers more insight in shorter term movements in the crypto markets. The overview shows the top 5 increases and decreases of the following social media metrics:
• Largest increase/decrease in Twitter mentions
• Largest increase/decrease in Twitter Recipients
• Largest increase/decrease in Twitter Sentiment
• Largest increase/decrease in Reddit Subscribers
• Largest increase/decrease in Reddit Users Online
• Largest increase/decrease in Sentiment
Partial report is available below
Full report (15 EUR, new payment options added!)
A new full Cryptocurrency score card report can be purchased below. In the following weeks new metrics will be added!
Full report (15 EUR)
A new ICO report is available. Check for an explanation and example the explanation page in the top.
Full report (5 EUR)
A new report is available below. Also a (free) Twitter implied market capitalization overview is uploaded, of which the used metrics are part of the scorecard. This provides some intuition in to methodology used.
Twitter implied market caps
Twitter Large account valuation
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Maybe unsurprisingly there is a clear relation between the number of Twitter (large account) mentions and market capitalization (see below for a scatter plot of all 200 top crypto currencies). For example, the number of mentions with respect to Bitcoin is about two times larger than Ethereum, whereas the market capitalization is also about twice as large. A regression shows that there is a clear linear relation for all cryptos. This relationship can be used to reverse engineer a hypothetical market cap (or price) based on a crypto’s Twitter mentions. Comparing this to the actual market cap then shows the deviation between actual value and hypothetical social media value.
Though there is obviously more to the value of a crypto than only its social media presence, it does offer some insight since there is clear linear relation.
The same logic is used for the scorecard, however there Z-scores are used to make differences more meaningful and make them more suitable for incorporating in the total scorecard. Also the applied metric (large account Twitter mentions) is only a small part of the overall score.