Extraction of Periodic Characteristics and Long-Term Stock Price Forecasting Using Non-Harmonic Analysis With Over 14 Years of NASDAQ Data Before and After COVID-19
Stock price forecasting is a critical challenge in financial markets, and methods capable of accurately capturing the complex long-term dynamics of the market remain underdeveloped. Moreover, traditional methods such as Short-Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) suffe...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11006994/ |
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