Novel Deep Learning Approach for Predicting Stock Market Trends

Novel Deep Learning Approach for Predicting Stock Market Trends

Akshada Subhash Tamboli , Anshuman Manoj Parmar , Kashyap Nileshbhai Visavadia , Sagar Shailesh Parmar , Lukesh Kadu

IT Department

Shah and Anchor Kutchhi Engineering College

Mumbai,India

Abstract— Stock Market Prediction a Major Achievement in financial markets is precisely forecasting stock market trends, which remains a considerable hurdle. Deep learning, a subset of machine learning, has grown to be a potent tool for untangling complex relationships within data. What distinguishes deep learning is its capacity to handle large amounts of data, unwrinkle difficult characteristics, and adapt to dynamic structures, all while unearthing concealed truths. Deep learning, at its core, is predicated on artificial neural networks that simulate human brain learning and pattern recognition capabilities, making it ideal for analyzing financial data. Through novel profound neural systems, the strategy applies a varied collection of the distributed showcase information, including, but not limited to, authentic stock costs, trading volumes, and calculations extracted from news sources.

Keywords— stock advertise patterns, back, profound learning, designs, authentic information, design acknowledgment, sentiments.