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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.17292650 |
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Table of Contents:
- <p>This paper explores how mathematical tools used to study sound and signals can also reveal patterns in financial markets. By applying the Fourier Transform, a method that breaks down complex data into repeating cycles, the study identifies rhythmic trends in stock prices and builds a trading indicator based on them. Using historical market data, the strategy is tested for accuracy and risk-adjusted returns, showing strong performance across major stocks and indexes. The work highlights how mathematical analysis can deepen our understanding of financial behavior and guide data-driven investment decisions.</p>