The Problem to Solve
In typical NFT marketplaces and aggregators, a standard grid view does not allow traders to see the most relevant information about NFTs in a consolidated view, nor analyze them at a technical level at a glance beyond their order (by price, recency, etc)
The Solution
Introducing the Pro Trading View, which enables a smooth NFT analysis for fast-moving traders, inspired by real-time trading interfaces familiar to traditional fintech users.
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Token listings and sale events are plotted over time against an average collection value, color-coded to the level of discount estimated by machine learning models. Real-time activity and order depth chart are accessible in the right panel for further analysis.
Users can collapse and expand the Activity and Order Depth charts at will, with the activity section also allowing for filtering of specific type(s) of activity (e.g. sales, listings, transfers, burns)
Hovering over an item in this view summons a card with further details, allowing for quick purchase, adding to cart, or clicking the image to summon a modal with more information.
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The token modal pops up above the trading view, giving machine learning insights on the tokens valuation, appraised liquidity, and confidence of the models. The modal also provides insights on specific traits, details of its mint and contract parameters, and more.
From this trading view, with the (+) icons on the cards, users can quickly add multiple items to cart and checkout. This can also be accomplished with CMD / CTRL + click and drag to select multiple tokens at once.
No good NFT trading experience would be complete without robust filters and sorts. A detailed and technical panel of traits is present, giving insights on rarity and price floors for the traits of your choosing. Users can filter by supported marketplace, can hide or show “frozen” items on Opensea, or hide/show ones that are outliers via their deviant price. Upper limits to the amount of tokens on the view can be set, as well as specific timeframes for traders to analyze.