How Bingo NFT helps traders and investors analyze the market
Data Source: Footprint Analytics — Bingo NFT Overview
Bingo NFT is an NFT analytics platform built using the Footprint Analytics’ Data API. It provides a window into NFTs, with insights into the general state of the market and individual collection.
- Total market cap
- Trading volume
- Buyer-seller volume
- Market sentiment
- Blue chip index
- Potential NFT index
- Wash trade index
The platform also includes a collection comparison tool that allows users to quickly visualize data about 2 projects side-by-side.
Data Tracking Metrics
Wash trading inflates and distorts the trading volume in the market, misleading analysts and investors. In the Bingo NFT platform, data is filtered for wash trading, reducing one of the main obstacles for evaluating NFT industry projects and assets.
- The Blue Chip Index tracks the market cap of several well-known and relatively stable NFTs known as blue chips. A high index is one indicator of a strong market.
The Potential NFT Index tracks popular and active collections that are still underneath the blue chip level.A high index score indicates that these potential NFT collections have increased in price relative to the market, indicating more speculative investment.
Example Use Case: Bored Ape Yacht Club collection analysis
Users can search for collections or click on one of the top projects on the Bingo NFT homepage.
The BAYC home page provides introductory information as well as basic data indicators, including project market cap, total number of project holders, latest trading volume and latest floor price.
As of Oct. 30, there are 10,000 NFTs in the BAYC project.
Project Market Cap: $1.3 billion
Total number of project holders: 6,399
Latest trading volume: $780,000
The majority of BAYCs were purchased significantly below the current floor price, indicating they have been held or on the market for a significant period of time.
Traits and feature analysis
The feature data below shows that BAYC has seven different combinations of features, including background, clothing, earrings, eyes, fur, hat, and mouth. Under each feature, there is a collection of sub-features that have varying degrees of rarity depending on how often they appear in the set. The number of total features also comes into play, as it does in BAYC, bringing the total number of “subfeatures” to 8.
A limited supply creates rarity and scarcity, driving value and demand. The number of BAYC traits is a community-specific attribute, with all “apes” receiving between 4 and 7 traits. There are currently only 254 apes with 4 traits, so “only 4 traits” increases their rarity and intrinsic value.
When you start looking at the attributes of apes, you can rank them according to rarity. In other words, rare apes are usually more expensive than common apes.
Single NFT history and data
By clicking on a single NFT within a collection, users can view the price of each pending order NFT, rarity characteristics, the number of past holders, the date of mint, NFT transactions and other information.
Through the data displayed on Bingo NFT, users can quickly identify opportunities and make faster and more informed decisions.
About us
Bingo NFT is an NFT analytics platform built using the Footprint Analytics Data API that requires no user development and is user-friendly. It is hoped that users can use its various data to analyze NFT market trends, capture NFT search engine rankings, NFT rarity and NFT project comparisons, among other information. This allows for better discovery, purchase and evaluation of NFT assets.
This piece is contributed by Footprint Analytics community.
The Footprint Community is a place where data and crypto enthusiasts worldwide help each other understand and gain insights about Web3, the metaverse, DeFi, GameFi, or any other area of the fledgling world of blockchain. Here you’ll find active, diverse voices supporting each other and driving the community forward.
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