4/18/20: I have created a dashboard with the latest, most accurate cryptocurrency resources for data, visualization, and APIs. Bookmark it at www.coinresources.io

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Cryptoasset valuation is a fairly new and iterating practice. Investors often have strong and varying opinions on how to value projects in the emerging asset class. The assets are constantly under experimentation and development, making a fixed model methodology challenging. Traditional market indicators such as market capitalization and supply are often flawed or manipulated. The fundamental side provides even less clarity as debates ensue over scaling, decentralization, PoW and PoS, governance frameworks, privacy, and security.

There is no consensus on how to properly evaluate and value a cryptoasset.

However, there is one statement that can be agreed upon: evaluating cryptoassets requires a deeper look under the hood. The obvious price, rank, market capitalization, and trading volume metrics do not paint a full or accurate picture. Most cryptoassets are developed on public blockchains with transparent network activity. This results in a wealth of information available to collect, dissect, and process. The data can be examined to gather valuable information such as network size, health, and security.

Metrics such as on-chain transaction volume, average fees on the network, hashrates, active addresses, inflation, block size, and block difficulty provide an insight on what is occurring on the blockchain. Furthermore, block explorers provide even more essential data from top token holders, transfer activity, pending transactions, and exchange list volume. This is an overwhelming amount of information to find, nonetheless consume, considering there are over 1500+ cryptoassets currently deployed (3 of which are probably legitimate).

Fortunately, there are some spectacular resources available to students, engineers, traders, and analysts. Below are some bookmark-worthy data and visualization resources for those looking to dig deeper into a cryptoasset.

The resources are grouped into following categories: market data, blockchain data, ICO and token data, and some fun data visualizations.