📚 Introduction

Near Protocol

Near Protocol is a decentralized, open-source platform that enables developers to build decentralized applications (dApps) on the blockchain. It uses a proof-of-stake consensus mechanism to validate transactions and secure the network. Near Protocol aims to provide a scalable, user-friendly platform for developers to build dApps that can handle high transaction volumes and offer low fees. It also offers features such as smart contracts, cross-chain interoperability, and a developer-friendly environment with easy-to-use tools and resources. The native token of the Near Protocol is called NEAR, which is used for staking, transaction fees, and governance on the network.

TradePort

Tradeport is the marketplace for NFT enthusiasts, offering the tools needed to discover, collect, sell, and research NFTs. Tradeport’s mission is to build an open marketplace that artists, founders, investors, collectors, and communities can trust. Currently supporting Stacks, Aptos and NEAR, Tradeport intends to continue building a unified cross-chain NFT experience through its data infrastructure and marketplace.

🧱 Methodology

Flipsidecrypto database was used for data extraction. Because NFTs are sold in TradePort on the Stacks, NEAR and Aptos chains, and in this dashboard we only want to check the transactions registered on this platform on the Near chain, so we first went to the near.core.fact_receipts table. The condition receiver_id='market.tradeport.near' was used to receive TradePort market data. On the other hand, the addresses of buyers and sellers were called using the codes parse_logs:params:buyer_id as buyer_id and parse_logs:params:owner_id as owner_id. Similarly, NFT contracts were also called using parse_logs:params:nft_contract_id as nft_contract_id. Transaction fees were obtained by joining two tables near.core.fact_receipts and near.core.fact_transactions and by calling sum(transaction_fee)/pow(10,24) as "Fee".

🧠Purposes of Dashboard

In this dashboard, we examine the performance of the TradePort market. Its purpose is that readers can see the performance of this platform from different aspects. The following metrics are considered for the analysis of this marketplace:

1. Number of active users (sellers and buyers): This metric will help you understand how many addresses are using the marketplace regularly.

2. Number of new users(Sellers and Buyers): This metric shows readers how many addresses have used this NFT marketplace for the first time.

3. Sales Volume: This metric will help you understand the total volume of sales that are taking place on the marketplace.

4. Average sales volume per user: This metric is used to analyze the volume of NFT sales or purchases per user.

5. Sales Count: Similar to the volume of buying and selling, the number of these transactions is also very important, so this metric is also provided for the readers.

6. Maximum/Average/Median/Minimum price per NFT: This metric will help you understand the Maximum/Average/Median/Minimum price at which NFTs are being sold on the marketplace.

7. Total transaction fees: This measure shows the amount of fee generated by this platform.

8. Top users Identifying: Buyers and sellers who recorded the highest number of transactions or the highest transaction volume are identified for readers.

9. Distribution of the sales volume and sales count This metric classifies the users of this market in terms of the number and volume of purchases or sales.

10. Sales Pattern: This metric shows the temporal pattern of trades made in TradePort.