Announcing New Feature: Portfolio Analysis | NFTGo Research
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Announcing New Feature: Portfolio Analysis Research Research0x7bA5A3Feb 11, 2022

Recognizing better ways of allocating capital is key to unlocking profits. Portfolio analysis aims to facilitate data-driven decision-making and hedging against risks.

NFTGo’s portfolio tracking feature is a game-changer, presenting comprehensive data analysis techniques to NFT investors and enthusiasts.

The features divide into four categories:

  • Overview
  • NFT
  • Stats
  • Activity


  • Performance metrics

This section includes information about the investor’s portfolio performance. The holding value is the sum of the latest prices of the NFTs held by the account. In volatile markets, sometimes the summing up of the latest sale prices might not reflect the current market’s evaluation. In speculative markets, the prices are constantly changing. Here’s an example from the Bored Ape Yacht Club collection. This NFT’s latest sale was in May 2021.

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Since then, the market has changed quite rapidly and the value of BAYC has risen. The floor price for a Bored Ape is now clocking at 93 ETH. The latest sale price of this NFT only reflects less than 3% of the market’s current valuation.

The volatility in NFT prices is the reason why we include another metric for analyzing portfolio performance. This metric is called estimated holding value. The formula below calculates the estimated value for a portfolio.

EST Value = The total number of NFTs max(Avg, Floor)

We also track the changes in estimated value both on a daily and weekly basis.

The estimated unrealized profits metric is another major indicator of performance evaluation. This metric is the difference between the Estimated holding value and the holding value.

  • Activity metrics

Activity includes: sell, mint, burn, transfer and buy activities of the address.

The buying volume of the address is the sum of all the NFTs brought by the address. Similarly, the sell volume applies the same function to the selling activity of the address. Both display the changes on a daily and weekly basis as well.

Profit is the difference between buying and selling volume.

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The stats provides a comprehensive snapshot of the address’ portfolio. This feature extracts valuable investment insights. The stats section includes graphs of:

  • Holding distribution
  • Holding trends
  • Buy and sell transactions
  • Related addresses
  • Collections
  • Holding distribution

The holding distribution graph illustrates the portfolio diversity using the numerical proportions of NFT holdings in a collection. Portfolio diversification analysis helps investors find potential risks and hedge against them accordingly. Below you can see an example of a diversified portfolio in terms of NFT count. For example, when we look into this portfolio from the lens of holding value distribution, the majority of the value stems from Fantasy Islands - Sandbox.

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The portfolio below illustrates the power of profitable NFT collections. This address’ holdings are mostly Art Blocks with more than 84% of the entire share in NFT count.

On the other hand, his Cryptopunks holdings account for 98.83% of the estimated value of the portfolio, while Art Blocks has an astoundingly low share of below 1%, which is also reflected that the increasing profits of the address is mainly from the fast growth of Cryptopunks.

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  • Holding trends

Trend analysis is one of the most important aspects of data-driven decision-making. The holding trends graph displays the direction of 3 metrics:

  • Holding value
  • Est holding value
  • Est URP

We already went over these metrics in the Overview section. Here you can see the upwards holding trends in estimated unrealized profits. This indicates an early entrance to one or several profitable NFT collections.

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On the other hand, this graph shows a similar relationship between Holding value and Est holding value. This comes with a steady trend in Est URP as well. After some time, we see a significant drop in Unrealized profits to below $-32 Million while the holding value is still going up.

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A reminder that holding value is the sum of the last sale price and often does not reflect current market valuation. When the prices spike, the market starts the price correction mechanism. Assets start to reflect their fair value. The different asset scenarios and graphs could be discovered and analyzed by comparing the three metrics.

  • Related addresses

This upgrade is part of NFTGo’s novel solution for finding related addresses based on the frequency of interactions by send and receive transactions. Most Whales operate with two or more different addresses. Some Whales have vaults for certain NFTs and others have trading/storing specific addresses. It can be hard to manually keep track of all the related addresses. We’ve automated this by leveraging the on-chain data. Using relational graphs, we can calculate the most related addresses, and display the data in two different ways:

  • Table
  • Graph

The data contains detailed information about the extent of each receive/send event and the corresponding address, and also including the last transfer date. Note that the contract addresses with 📄 and Whale addresses with 🐋.

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Here you can see the top related addresses of micmann.eth, most of her transfers are to this address. This is a contract that functions as a vault for their Sandbox NFTs.

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The graph view is a more visual and general representation of the transfer data, showing the relationship between the address and other counter-parties involved in transfer events.

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  • Collections

The collections section is a fully-detailed table of the different collections held by the address. This gives a more detailed look into which NFT projects have mostly contributed to the profit or losses of the address.

Tracking activities

Another feature of the portfolio analysis tool is activity tracking. We provide a visual guide of all the activities from an address. Below is an example of the bar chart of activity trends. There are several data points considered in analyzing activity trends. Mint, buy, sell, burn,  send, receive are all a part of this graph.

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The graph shows the quantity of each activity and its dominance in the selected time range among the other activities. The chart illustrates that overall, this address tends to buy in a much higher magnitude.

By looking into the related addresses of this account we can find a contract address that has the most send transactions with.

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By looking into the activity chart of this contract, we can clearly see that this contract acts as another “vault” for this Whale address.

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This feature can help you quickly and easily distinguish between the functionality and legitimacy of addresses.

There’s also a subsequent detailed version of every single activity from an address in the period of your choice.

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The options let you sort the data that is most impactful to your decisions. NFTGo does not list all the NFTs on the blockchain and you can choose if you want to only view those that are listed on our website. For more information about the listing criteria visit here.

You can also sort the data based on collection or activity. The calendar allows for selecting a particular time range.

Thank you for reading through this article about the latest NFTGo features. We will keep adding new features to our website. To be the latest to know about our products make sure to follow us and check our social channels for more details.

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