Data Aggregator

Data Aggregator includes two processes: data acquisition and feature processing.

Data Acquisition

Data Aggregator monitors and acquires the data related to target NFTs in real time, including:

• Metadata:

  The total amount of NFT supply, metadata, creators, etc.

• Trading Events:

  Listings, auctions, transactions, and other events in major marketplaces.

• Public Opinion Data:

  NFT-related data such as Twitter followers’ quantity and Discord server members quantity, keyword popularity, and KOL attention.

Feature Analysis

Data Aggregator will aggregate, clean and analyze all NFT collection data. The analysis process includes basic analysis, transaction analysis, and public opinion analysis. The features of NFT are constructed through feature analysis to provide training data for the model.

• Basic Analysis:

  The trader group characteristics and NFT category characteristics are constructed to reflect the basic traits of NFT based on the analysis of massive basic data, including trait information of NFT, portraits of buyers, portraits of sellers and portraits of NFTs, etc.,

• Transaction Analysis:

  Based on massive transaction data, we will build a transaction relationship network and extract the characteristics of related transactions, including transaction frequency, transaction amount and price trend of similar NFTs between buyers and sellers.

• Public Opinion Analysis:

  Through the real-time public opinion data, Banksea constructs features of NFT trending and NFT public opinion.