ICORating Report Analyzes Clusterization of Ethereum-Based Tokens


Investors looking to gain exposure to cryptocurrency beyond Bitcoin and Ethereum are faced with hundreds of options. ICORating’s new report, Clusterization of Ethereum-Based Tokens, categorizes hundreds of ERC20 tokens into clusters based on several key parameters.

The purpose of this report is to help crypto investors optimize their portfolio structure. Using publicly available data, we have collated Ethereum-based assets and determined their structure by applying the affinity propagation clusterization algorithm.

Based on our results, ERC20 assets fall into two major groups:

1) Those that are marked by greater capitalization, a larger number of token holders, a larger number of tokens in circulation (further referred to as Cluster 10; e.g. this includes such tokens as EOS, Tron, BNB, Ziliqa, Aeternity)

2) Assets that have lower values in terms of the aforementioned parameters. Out of all groups, Cluster 2 (includes Kin and Dent) showed the highest values, excluding the monopolization parameter, determined as the percentage of tokens held by the top 100 addresses.

It is worth mentioning that some parameters, such as the country where a project is based, total token supply, ICO end date, and 24-hour circulating token volume, were not crucial for token grouping.

Find the full report here.

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