Lithium Finance
  • Overview
    • What is Lithium Finance?
    • How it works
  • Governance
    • Lithium DAO
    • DAO Structure
    • Governance Process
  • Protocol
    • Ecosystem
    • Two Currencies
    • Pricing Quest
    • Pricing Mechanism
    • Reward Mechanism
  • Machine Learning
    • Our Approach
  • Guides
    • Earn Rewards
    • Bug Bounty
    • Bridging
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  • Why Machine Learning & Community Wisdom?
  • Our Approach
  1. Overview

How it works

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Last updated 2 years ago

Lithium Finance combines wisdom of community with machine learning to provide deep insight into NFT markets.

Why Machine Learning & Community Wisdom?

Main challenge of assessing NFT value is the limited amount of quality data available. Valuation is difficult without sufficient transaction history.

  • Every NFT is unique.

  • Most NFTs are traded once or twice. Many have never been traded since mint.

  • Volatile market makes benchmarking across time and across different NFT even harder.

Our Approach

Machine Learning

Our quantitative models analyze millions worth of trading data to produce a base valuation with the aim to identify situations when Machine Learning may struggle to perform (such as price prediction for rare NFTs without sufficient trading data). In those cases, we supplement machine learning with wisdom from the community.

Collective Intelligence

Get involved!

Think you’ve got the eye? Become an NFT price expert, be rewarded for your guesses, and join the Lithium community today

The protocol incentivizes and aggregates opinion from the community to gauge market sentiment. Inspired by and , Lithium Finance approaches valuation from a behavioral finance perspective that prices are determined by perception of others.

John Maynard Keynes
Richard Thaler