FOREX rate prediction improved by Elliott waves patterns based on neural networks

DOI10.1016/J.NEUNET.2021.10.024zbMath1527.91159OpenAlexW3211352728MaRDI QIDQ6055174

Eva Volna, Martin Kotyrba, Robert Jarusek

Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2021.10.024

zbMATH Keywords

predictionneural networksElliott wavefast Fourier transform (FFT)FOREX

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Financial markets (91G15)

Cites Work

• Unnamed Item
• Multi-classifier based on Elliott wave's recognition
• Regression neural network for error correction in foreign exchange forecasting and trading.
• Soft computing hybrids for FOREX rate prediction: a comprehensive review
• Computational Statistics
• The predictive power of price patterns
• Time series forecasting with neural network ensembles: an application for exchange rate prediction
• Learning representations by back-propagating errors
• A method for the solution of certain non-linear problems in least squares

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