Detecting and Predicting Changes in Crypto Markets
Cryptocurrencies are becoming increasingly more popular and relevant as a form of finance. Currently, there are a lot of trading bots that can help traders trade on the crypto exchanges. This paper presents a solution for predicting the market with data from influential market makers and tweets from known cryptocurrency investors. We use these data for setting take profit, stop losses, and opening and closing positions. The results, that we conducted during research will also be discussed in detail. We conducted tests to evaluate the solution's effectiveness and profitability. The tests proved, that the solution has promising results and can be profitable in both the short and long term. Promising results would also show if our model is reliable enough to be deployed on live data.
Authors
- Dušan Morháč (ORCID: https://orcid.org/0009-0004-2053-3821)
- Jasna Horvat (ORCID: https://orcid.org/0000-0001-9665-1470)
- Kristián Košťál (ORCID: https://orcid.org/0000-0003-0679-4588)
- Erik Matovič
- Peter Oliver Kolek
- Viliam Jusko
- Šimon Drienik
- Martin Bačovský
Institutions
- Slovak University of Technology in Bratislava (SK)
Publication Details
- Published
- 2025-05-14
- DOI
- https://doi.org/10.23919/fruct65909.2025.11008029
- Citations
- 1
- Primary Topic
- Complex Systems and Time Series Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.13