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This project explores predicting Bitcoin prices through tweet sentiment analysis, introducing a novel sentiment aggregation method and demonstrating its impact on prediction accuracy.

In the ever-evolving landscape of blockchain technologies the ability to establish and run experiments on different typologies of local networks is a challenge. The project addresses this by introducing a system that allows user to quickly setup and visualize local Proof of Work (PoW) Ethereum (ETH) networks on Raspberry Pis (RPIs). The report introduces the reader to the concept and use case of RPIs, the characteristics of Ethereum blockchains, and the general topic of blockchain technology. It describes the requirements and discusses the design and implementation of the server-client system. The system was evaluated on several runs for grid, star and circle topologies with 3 up to 9 RPIs showcasing the consensus degradation at varying levels of delays.

David Pinezichs Kurs zu Python Automatisierungm Web-Scraping und Bildbearbeitung im Januar 2024