Digital Sentiment Analysis for Quantitative Bitcoin Trading
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Authors
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Publication date
2025
Typ of student thesis
Bachelor
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Collections
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
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Hochschule für Wirtschaft FHNW, Olten
Abstract
The Bitcoin market is defined by extreme price swings, often driven by investor sentiment rather than clear fundamentals. Standard quantitative trading strategies struggle in this environment. While many studies confirm a link between social media mood and Bitcoin's price, a gap exists in developing and testing practical trading models based on this data . This thesis aims to close that gap by building and evaluating such a strategy to determine if it can deliver superior risk-adjusted returns.
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English
Created during FHNW affiliation
Yes
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Review
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Citation
Hubmann, L. (2025). Digital Sentiment Analysis for Quantitative Bitcoin Trading [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/54764