Stock market forecasting is not an easy task to undertake because of the volatility and the price movements which are non-stationary. In this work, the author suggests the hybrid deep learning architecture that combines the use of Discrete Wavelet Transform (DWT)-based feature extraction with multi-architecture aggrega...
Priya Sidhu, Himanshu Aggarwal, Madan Lal· International Journal of Int...· 0 citations
A survey of the current state of the art for financial trend prediction for the 2025–2026 horizon and eight methodological families is presented, including the classical machine learning methods, recurrent sequences, attention and transformers, graph neural networks, sentiment and LLM-based fusion, explainable AI, rein...
Priya Sidhu, H. Aggarwal, Madan Lal· Journal of Intelligent Decis...· 0 citations
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