At Lithium Finance, our proprietary algorithm combines the two features to evaluate asset pricing. Our hybrid pricing model incorporates machine learning based on trading data and human-based community estimates to provide efficient, accurate valuations in real-time, even when there is a lack of historical sales data.
Our quantitative models analyze millions of trading data to produce baseline price prediction intervals for every NFT. Perhaps more importantly, our models also identify predictions that Machine Learning would not be able to perform sufficiently confident. This is where Lithium Finance brings in the community to offer deep market insights.
Generally, human makes better decisions than machines without sufficient data. As our model identifies gaps in data availability and other anomalies, human experts are recruited to collectively opine on those specific areas that algorithm is not confident in making judgement.