NFT Valuations precises NFT Valuations and up-to-date pricing data for leading NFT collections with advanced analytics platform.
How valuate NFTs
NFT Valuations continuously monitor NFT transactions and events to track movements and sales, primarily using Etherscan for data on transactions, current prices, and NFT attributes. The system also attempts to identify and record additional characteristics like rarity, where feasible.
In-house Machine Learning pipeline processes this data to develop optimized models that predict NFT values based on sales patterns and metadata for each collection.
The valuation model, NFTi combining multiple ML models to ensure comprehensive coverage of various scenarios. These models are designed to either extrapolate beyond observed sales prices or interpolate within them, depending on the rarity and desirability of the NFTs.
NFTi updates occur twice: a daily update at 12AM UTC for all collections and a bi-hourly update that excludes collections with low trading volumes. Model re-training occurs every Monday, potentially disrupting the bi-hourly updates.
The Adjusted Floor Market Capitalization (AF Market Cap) represents the sum of the highest values of each token’s properties within a collection. This calculation method ensures that NFT valuations reflect the most current and relevant sales data.
While the Adjusted Floor and NFTi valuation methods are inherently different, significant discrepancies between them are monitored for potential errors. These differences are expected and acceptable in cases where NFT traits are highly unique or rare, but ongoing adjustments are made to refine both valuation methods.
NFT Marketplaces and Data Sources
The pricing data is sourced from multiple platforms including CryptoPunks Marketplace, OpenSea, LooksRare, X2Y2, Blur, and SuperRare, ensuring a broad coverage and accurate market representation.
