Secondary NFT Market Mega Dashboard
Introduction
Optimism is a Layer-2 scaling solution for Ethereum that supports all dapps and it runs all computations and data off-chain. So, due to this, Ethereum's transactions per second are increased and transaction fees are decreased, rather than running all computation on the Ethereum network.
Moreover, Optimism sounds very similar to Polygon Matic, as both offer similar something very similar, as it’s a scaling solution for Ethereum.
In this article, we will explore the NFT transactions on Optimism chain in terms of standard metrics such as the daily NFT sales volume, daily users who has bought/ sold NFTs, total number of NFTs sold etc.. with supporting visuals.

What does an NFT means ?
NFTs stands for Non-fungible tokens, where in Non-fungible can be defined as something that cannot be exchanged for another item because its unique. For example, one piece of Art is not equal to another as both will have unique properties.
Basically, NFTs are tokens that lives or survives on a blockchain and represent ownership of unique items. These NFT tokens in general will contain bit of information specific to it, such as unique token name, symbol etc.. and will be owned by the creator or artist of that token. These NFT tokens will be sold by performing sell & buy transactions on the particular blockchain.
Methodology
For this analysis, we will first look at the standard metrics for NFT sales activity on Optimism chain assessed in terms of
-
Total sales volume (in USD)
-
Total Unique buyers & Unique Sellers count
-
Total number of NFTs Sold ie.. Sales count
-
Average buyers per day/ week/ month
-
Average Sales volume per day/ week/ month
-
Average Sellers per day/ week/ month
-
Average NFT sales count per day/ week/ month
-
7-day moving average of Sales price etc..
We will be using the data derived from the tables optimism.core.ez_nft_sales and optimism.core.dim_labels by joining nft_address column of ez_nft_sales table with address column of dim_labels table.
On choosing the above drop down parameters like ‘data_range’ (30 by default) and ‘nft_collection’ (mirror by default), all the below charts or visuals will get refreshed or populated with relevant data of that selected NFT collection according to that time period.