Application Project Jonas Gebele
Retrospectively Identifying Profit-Generating Transactions on the Algorand Blockchain
Abstract
This study systematically identifies arbitrage opportunities within Algorand’s decentralized finance (DeFi) ecosystem,
focusing on Automated Market Maker (AMM) platforms. Utilizing graph algorithms such as Bellman-Ford, alongside
optimization techniques, we introduce a system designed for real-time and historical data arbitrage exploration. While
this initial study focuses on select asset pairs and short time frames, it establishes a framework for future research.
The work combines theoretical and practical insights, suggesting that further refinement and broader implementation
could significantly increase arbitrage profitability.
| Attribute | Value |
|---|---|
| Title (de) | Rückwirkende Identifizierung gewinnbringender Transaktionen auf der Algorand Blockchain |
| Title (en) | Retrospectively Identifying Profit-Generating Transactions on the Algorand Blockchain |
| Project | Algorand Centres of Excellence (ACE) - SUPPRA |
| Type | Application Project |
| Status | completed |
| Student | Gebele Jonas |
| Advisor | Burak Öz |
| Supervisor | Prof. Dr. Florian Matthes |
| Start Date | 17.04.2023 |
| Sebis Contributor Agreement signed on | 17.04.2023 |
| Checklist filled | Yes |
| Submission date | 17.10.2023 |