How to invest in NFT track through data?


Data quantitative analysis framework

  • Horizontal data-time dimension
  • Longitudinal data-like comparison
  • Particle data-subdivision indicators
  • Token Data-Investment Opportunities

Study qualitative analysis logic

  • Practicality
  • Ownership history
  • fluidity

Discover value capture value

  • Total market
  • Leaderboard
  • Metadata search
  • Giant Whale Tracking
  • Project Analysis

Many friends inside and outside the industry always encounter similar problems when chatting with me. For investor friends, they want to grasp the macro situation and latest trends of NFT assets, and they often ask which NFT assets they hold? How much are these assets valued? For newbies who are new to NFT, what would they want to know about NFT? How can I purchase NFT at a low threshold? What is the trend of NFT? And, what is the most popular NFT? and many more.

It can be seen that the above problems all involve the acquisition and aggregation of information. Today, NFT is experiencing explosive growth. While everyone is paying attention to this track, it always feels that the information in the NFT world is scattered. For example, the only one I have come into contact with is hundreds of domestic and foreign NFT exchanges on different chains. It is difficult for people who have just entered the field of NFT to have a general understanding of this immediately. At this time, it is very important to understand the comprehensive data of the track.

As we all know, since the birth of digital assets, CoinMarketCap and CoinGecko have become an indispensable portal for finding FT-related data, knowledge and information. And this form of platform is usually called “Data Aggregator” (Data Aggregator), “aggregator” can help users directly capture most of the content value. For example, Google aggregates the content of various websites, such as Amazon, which aggregates thousands of businesses and users.

Therefore, for anyone who wants to learn more about NFT, they can form a clear thinking framework for the NFT industry through data framework and analysis.

Data quantitative analysis framework

Horizontal data-time dimension

In the horizontal dimension of data, it is divided into historical data, recent data and current data. For example, historical NFT market trends in 7D/30D/90D and the latest NFT market performance. By observing the time axis, it is important to understand the corresponding data fluctuations. In addition, some cumulative data, such as each project and total cumulative transaction volume, total holders and other data are also worthy of reference.

Longitudinal data-like comparison

In the vertical dimension, the comparison between NFT types/items is also very important. In terms of project types, investors also need to understand the market share of different NFT fields, such as the current market share of various NFT types such as trading cards, artworks, collectibles, and virtual worlds. The proportion of transaction volume of specific NFT projects is also worth paying attention to, and even the total transaction volume of some top projects will exceed half. Through these data, users can easily determine whether the project is currently in the first echelon or the second echelon. The weekly turnover is also worth paying attention to, such as whether it is more than 100,000 US dollars or more than 10,000 US dollars.

Particle data-subdivision indicators

In addition to macro market data, we also need subdivision data to understand NFT projects more specifically.

For example, the number of visits to the project details page, the frequency of appearing in search results, the number of traders, the number of transactions, the number of NFT holders, and the activity of the community. For a certain NFT asset, users can also learn about historical transaction prices, purchasers or sellers, etc. through historical transaction data.

With the support of these data, investors can more easily hold, manage and invest in NFT assets. For example, in the recently popular Bored Ape Yacht Club, the issue price of each monkey is 0.08 ETH, and their subsequent price fluctuations and changes.

We can also judge the potential of specific NFTs based on market transaction records. In the NFT market, we can find past transaction data. Although historical data may not predict the future, it can be used as a reference standard for pricing when selling and buying.

In addition, the number of visits to the project details page, the frequency of the search results, the number of traders, the number of transactions, the number of NFT holders, community activity and other indicators can also be used as influencing factors to help you make better investment decisions.

Token Data-Investment Opportunities

In terms of NFT tokens, it is necessary to understand its market value, transaction volume, status, project ecology, community construction, etc., which projects have greater potential, how much the project’s rate of return, how big the average increase, and how In the time dimension, which items have the largest increase and so on.

Study qualitative analysis logic

In addition to analyzing NFT data, what other aspects do we need to judge the investment value of NFT? The following three aspects can be referred to.


The first is practicality. The practical value depends on how the NFT is used. The two main categories with high utility value are game assets and tickets. Another aspect of practicality is the ability to use NFTs in different applications. Imagine that if you can use the same asset in different games, the value of such NFTs will be relatively higher.

Ownership history

Second is the ownership history. The value of NFT depends on the identity of the issuer and previous owner of the NFT. NFTs with high historical value of ownership are usually created or issued by well-known artists or companies with strong brands. You can find the address of the whale holder and list the other NFTs they own as an indicator reference.


The third liquidity, high liquidity means that the value of NFT is higher. Liquidity is one of the factors that measure whether NFT has higher value. NFTs that meet ERC-721 or ERC-1155 standards can easily be traded with anyone holding ETH in the secondary market, which increases the number of potential buyers to a certain extent. Investors may be more inclined to invest in the NFT category with a large trading volume, because liquidity reduces the risk of holding NFTs. In the extreme case where NFTs lose their practical value after the relevant platforms are closed, as long as someone is willing to buy and sell, the highly liquid NFTs still have value. On the other hand, NFT standards that are not based on Ethereum are affected by the lack of liquidity, and the value of NFTs created on these platforms is often discounted.

Discover value, capture value

Let’s take the data on NFTGO as an example to further analyze several key points of the dimensions of the data.

First of all, we need to pay attention to the whole network NFT market data, including real-time whole network NFT transaction and asset data, including NFT market value, total transaction volume, total transaction volume, and the number of NFTs and their holders, which are used to judge the overall NFT market Trends and popularity.

How to invest in NFT track through data?

Secondly, you can look at the market data trends of the past 7 days/30 days/90 days, as well as the buyer and seller market ratios, and use these macro data to judge market supply and demand.

How to invest in NFT track through data?

As mentioned above, NFT liquidity, which reflects the turnover rate of NFT to some extent, is a very important indicator. This concept is also relatively common in the stock market, and the turnover rate is usually used to measure the liquidity of a stock. The higher the turnover rate , the more active the trading of the stock, the higher the overall quality, and the more investment value.

How to invest in NFT track through data?

The concept of liquidity is similar to this. According to this indicator, the ability of the NFT to be smoothly realized at a reasonable price can be measured. Especially for those who do not plan to hold NFT for a long time and want to obtain income through NFT trading, liquidity indicators are indeed one of the data that must be paid attention to.

How to invest in NFT track through data?

How to invest in NFT track through data?

The current NFT market distribution and popular items are one of the important data dimensions, so as to intuitively understand the hottest NFT subdivision areas and items in the current market. Whether it’s a novice who just understands NFT or an investor, these data can help quickly establish a basic understanding of the NFT world. At the same time, by checking the proportion changes, you can quickly find popular items in the first time and perceive the changes in the NFT market trend.

NFT leaderboard

Most of the above-mentioned data are in some macroscopic dimensions, and granular data on the micro-level also need attention. What are high-value projects and assets? Who are the NFT whales? What is the investment value of NFT and NFT Token?

The most typical is the ranking of NFT projects, including the value ranking of NFTs, the ranking of the fastest value-added projects, and the ranking of asset value.

How to invest in NFT track through data?

How to invest in NFT track through data?

In terms of sorting dimensions and methods, in addition to the dimensions of market value/growth/number of transactions/volume, the liquidity indicators mentioned earlier. Through sorting, you can basically quickly find the NFT projects with the most liquidity in the current market and capture potential investment opportunities.

How to invest in NFT track through data?

In addition, it is worth mentioning the giant whale rankings. In addition to quickly knowing the number and value of the giant whale’s NFT holdings, it can also spy on the specific NFT held by the giant whale and buying trends. Some friends around will indeed choose to follow the pace of the giant whale and understand the whereabouts of important players in the market. This is also a key part of exploring market trends.

Although this cannot constitute a scientific basis for investment, by understanding which NFTs the giant whale holds, which NFTs have been purchased or sold, you may be able to discover some investment opportunities.

NFT metadata/natural language search

Metadata is also called Metadata. Each NFT pass will have its own Metadata URl, which defines some more detailed information about the NFT, such as the name and description of the NFT, the URL of the picture, and special attributes. Take Bored Ape Yacht Club as an example. Each ape has a different color, shape, name, etc. Searching through metadata can help users quickly locate the target NFT range.

How to invest in NFT track through data?

For example, by entering “Bored” in the search box, you can view the Bored Ape assets of the entire network. For a large number of search results, you can further subdivide and filter the dimensions in the left column, and further refine the search results from the three dimensions of category/project/blockchain. At the same time, it can also be sorted by current price/create time/transaction time.

How to invest in NFT track through data?

Click into a single NFT asset, you can know its basic properties, and understand all historical transaction information, including the number of transactions, transaction time, historical prices, historical holders, etc. When making an NFT purchase decision, you can use the historical information of the NFT, especially historical holders. It is worth mentioning that whether an NFT has ever been held by a giant whale or a celebrity may also be a key decision basis for NFT valuation.

After talking about the data dimension, let’s talk about the data depth, we need to understand the basic information of the project, as well as the current market performance, such as market value, transaction volume, number of issued NFTs, holders, and liquidity.

Market data is the core of all modeling and analysis tools, not only for understanding the market, but also for correlation analysis between various products, such as NFT+Layer2, NFT+DeFi, etc.

Finally, it is crucial to understand what gives the value of the NFT and its tokens. Regardless of the field, assessing risks from different perspectives and thinking, and identifying various opportunities in new NFT projects, is a kind of ability, but also requires better tools.

Posted by:CoinYuppie,Reprinted with attribution to:
Coinyuppie is an open information publishing platform, all information provided is not related to the views and positions of coinyuppie, and does not constitute any investment and financial advice. Users are expected to carefully screen and prevent risks.

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