A joint development by scientists from three American universities: the University of California, Michigan and Stanford, will make it possible to invest in ICOs without fear that you may “hand over” your capital to attackers.
A machine learning algorithm called ICORating is able to determine the reality of the initial coin offering at its very initial stages.
The description of the scientists’ work says the following:
“We hope that this development will automate the process of analyzing and evaluating ICO projects, and will also help identify scammers and save investors’ funds.”
The creators tested the algorithm on 2251 ICOs, in parallel analyzing the time since their launch and fluctuations in the value of tokens. All data and documentation about the projects were also used, the team, website and GitHub repository were evaluated.
Testing showed that the ICORating algorithm is able to identify ICO scammers with an accuracy of almost 83%.
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