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Author

Priya Sidhu

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Open access Aug 2026

A Hybrid Deep Learning Ensemble with Wavelet Feature Extraction for Stock Market Prediction

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 · 0 citations
Review Open access Aug 2026

Intelligent Stock Market Recommender Systems: A Review of Predictive Models, LLMs, and Decision Frameworks

The evolution of approaches to predicting trends in financial markets has involved several stages, starting from autoregressive statistics, going further to deep sequences, graphs, fusion of sentiment with LLMs, and finally arriving at large language model (LLM) reasoning layers. One area where there has been a lack is...

Priya Sidhu, H. Aggarwal, Madan Lal · 0 citations

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