💻MQ Terminal

An AI-powered terminal to address all aspects of NFT finance, offering pro trading & risk management tools, protocol integrations, and a seamless experience for traders and lenders.

Vision

We are developing an AI-powered terminal that is designed to address every facet of the NFT financialization narrative, and facilitate the generation of alpha for the end user. Our vision for the MQ Terminal is to create a comprehensive solution for NFT Finance that offers users access to professional trading capabilities, advanced analytical and risk management tools, as well as direct integration with protocols encompassing perpetual DEXs, P2Peer, P2Pool, and AMMs that are integrated with MetaQuants. This will provide a seamless experience for traders, flippers, borrowers, lenders, and institutions, enabling them to access all verticals of NFT Finance from a single platform.

MQ Terminal (beta)

• Collection Dominance - based on market capitalization of leading collections.

• Marketplaces Volume - supporting OpenSea, X2Y2, LooksRare, Blur, SudoSwap, EZswap, OnePlanet and other.

• MQ NFT Index - an index for the NFT domain with focus on Blue-chip collections.

• Collection Screener - overview of supported collections with metrics such as floor price, percentage change, volume, market capitalization.

• NFT Feeds - news from leading magazines such as Decrypt, Blockworks, etc. and twitter threads from NFT leaders with impact for the NFT segment.

• Protocol Performance - focus on liquidations, repaid, borrowed and leveraged volumes for NFT lending, perpetual DEXs and derivatives protocols.

Collection Analytics

• General Metrics - market capitalization, collection rank, volatility, volume, floor prices on leading marketplaces calculated by us after wash trading detection, top 10 holders that can bring alpha to the flippers.

• MQ Floor Price - floor prices calculated according to our methodology with volume and sales that have happened for a given collection, professional trading charts and financial indicators.

• Sentiment Analysis - correlation between events and floor data in a time-series manner.

• News - news and twitter threads that are related for the given collection.

• Market Depth - reflection of real-time market activity that can support liquidity providers to figure out whether a large order can influence the floor price, as well as listings and offers.

• Activity - transaction history of all tokens within a collection.

Individual NFT Analysis

• NFT Appraisal - real-time evaluation of a given token id combined with a standard error number.

• Rarity Score - in-house rarity score that is based on actual historical sales and calculated via distance measures.

• Trading - trading capabilities and option to make an offer for an NFT on various marketplaces.

• Value Drivers - provide insight of the value contribution in absolute ETH terms of every feature that goes into our model.

• Cost Basis - understand whether there is a downward or upward pressure on a given token ID.

• Trait Estimate - evaluation of the rarity, floor price, volatility and last sale given every trait of a token ID.

• Transaction History - activities related to the token ID in order to figure out former holders.