The volatility of NFT markets highlights the need for new valuation models to support informed investment decisions. Unlike traditional assets, NFTs’ value is driven by subjective factors like rarity, cultural significance, and community sentiment, alongside speculative trading. Current models often fail to capture these dynamics, leading to mispriced assets and increased risk. A robust valuation framework should integrate on-chain data, such as transaction history and provenance, with off-chain metrics like social engagement and creator reputation. Machine learning could enhance predictive accuracy by analyzing market trends and sentiment shifts. By addressing these unique characteristics, a tailored valuation model can provide investors with clearer insights, reduce uncertainty, and foster confidence in navigating the rapidly evolving NFT landscape.