Abstract: An example method of predicting prices of non-fungible tokens (NFTs) includes the operations of: receiving an identifier of a target nun-fungible token (NFT); responsive to determining, based on first trading data associated with the target NFT, that the target NFT fails to satisfy an active trading frequency criterion, identifying a subset of similar NFTs including at least a predefined number of NFTs that satisfy a chosen similarity criterion based on their respective similarity scores with the target NFT, wherein the subset of similar NFTs is associated with at least a predefined number of reported trades within a predefined period; and predicting the price of the target NFT based on second trading data associated with the identified subset of similar NFTs.