P-NFT

Predict the price pattern with graph at core

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Inspiration

Due to non-fungible tokens (NFTs) popularity, NFT marketplaces such as OpenSea and Binance are in high demand.

In the last 12 months, OpenSea alone has spent nearly $20 billion on NFTs. According to Dune Analytics, it has over 1.5 million active members, making it one of the largest NFT trading platforms. It surpassed its previous peak of approximately $5 billion in monthly trading volume.

The majority of projects, on the other hand, are short-term.

According to new research from The Block, the value of non-fungible tokens (NFTs) traded in 2021 exceeded $13 billion. Compared to previous year's NFT trading volumes, this marks a staggering 42,988 percent growth.

For NFT analytics, we use a couple of data sources and APIs, but we've uncovered a lot more that can be useful. We're adding them to our research toolkit for identifying long-term projects that benefit the industry and provide value to their users, as well as using Machine Learning to uncover patterns.

All above to get best estimate of NFT price prediction and patterns.

What it does

Utility, Rarity, Community Size, Trading Volume, Potential, and Provenance are all used to provide distinct metrics for NFT initiatives.

Our solution is connected to multiple market places to derive the prediction based on attributes that we believe should be cross referenced. This could be as well be candidate for patent as none of market players today brings such relevance that we have conceptualized and implemented through the technology levers – API economy and enterprise knowledge graphs TigerGraph

How we built it

Data was pulled from several APIs, evaluated, and a solution in Tiger graph was developed to highlight trends.

Key dependency on the datasets from marketplaces and exposed APIs to consume on defined attributes. Bundled with ML algos and datasets makes the crux of our solution.

Challenges we ran into

The NFT APIs contain a wealth of information, but the regular APIs are severely constrained. Rather than pulling relevant collection data to save time, we'd have to track raw transaction data and process it ourselves to acquire meaningful insights.

The OpenSea API helps developers build new experiences using NFTs and our marketplace data. Some specific challenges around OpenSea API key as well.

Accomplishments that we're proud of

To assist collectors in measuring and assessing the worth of an NFT, we've added four new indicators: Floor Price, Volume, Items, and Last Price.

What we learned

When you're working on a project that involves a lot of data and a lot of different ways to display it, make sure you have a clear aim in mind. Assign explicit responsibilities to a varied range of contributors. Ways to connect to NFTs data through different challenges of API connectivity for developers.

What's next for Untitled

Process the data in more meaningful ways and onboard more market stores to the roadmap.

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