Tokens analysis

How Analys evaluates different tokens.

Introduction

Now, the objective is to essentially do the same as with the protocols analysis but with the different tokens. As previously mentioned, these steps occur simultaneously with the protocol analysis interact with each other on multiple levels.

Relevance

Taking token characteristics into consideration for analyzing real yield is a very straightforward theory. Staking 2 different coins on the same protocol and with the same apy might seem equivalent but this is without consideration of the price evolution. If one token's price sees a 25% increase while the other's barely changes, staking the first token will obviously result in a much greater gain.

Data collection

Analysis collects on-chain data of the different tokens in a similar way as for the protocols. Again using The Graph to query information with the use of Subgraphs. Here is a list of all relevant data collected: -Market cap -Aggregate volume -Aggregate liquidity -Circulating supply -Token issuance rates

In term, these are stored by combining Arweave's technology together with Alchemis' innovations to ensure secure and reliable storage.

Data analysis

Very similarly to the TAF analysis, Analys can then evaluate the evolution of the different metrics, separately and together to create additional secondary data for each token. Complementing these data with temporality enables Analys to determine metrics such as volatility, market cap average change percentage or volume in relation to market cap evolution. These metrics are essential to deepen the analysis of a token.

Note: To reduce costs whilst ensuring a maximal quality, Analys runs a data collection and storage for each token every 5 minutes.

Dataset

By putting together all the data mentioned above, Analys is capable of assessing a multi-factorial dataset of each token, similar to the TAF analysis.