TUMKolleg Sebastian O. Jung
Towards a Web Application to Detect and Analyze Wash Trading in NFT Collections on the Solana Blockchain *
Abstract
With the rise of NFTs popularity, fraudulent activities to manipulate this market also increased. One of these techniques often used by scammers is wash trading, where the asset is traded between multiple accounts by one person or a group to increase the trading volume artificially. This fake demand can be very damaging to private investors, as they invest in an asset that does not have that value. Therefore, providing a website that allows users to check wash trading activity on NFT collections would be helpful. In this work, a methodology is developed to identify wash trades in the transaction history of an NFT collection on the Solana Blockchain. In addition, the user interface of a web page described above is explained, which we developed in the course of the work. Subsequently, this website is used to analyze the wash trading activities of small NFT collections.
Web App: https://xyz.pizza/
* Received the first place prize in 2023 Dr. Hans Riegel-Fachpreis.
| Attribute | Value |
|---|---|
| Title (de) | Entwicklung einer Webanwendung zur Erkennung und Analyse von Wash-Trading bei NFT-Kollektionen auf der Solana-Blockchain |
| Title (en) | Towards a Web Application to Detect and Analyze Wash Trading in NFT Collections on the Solana Blockchain |
| Project | |
| Type | Application Project |
| Status | completed |
| Student | Sebastian Jung |
| Advisor | Burak Öz |
| Supervisor | Prof. Dr. Florian Matthes |
| Start Date | 01.04.2022 |
| Sebis Contributor Agreement signed on | |
| Checklist filled | Yes |
| Submission date | 06.12.2022 |