Published Paper Details:

Deep learning for predicting stock market prices and trends has grown much more popular than before in the age of big data. In order to predict the price trend of stock markets, we collected two years' worth of data from the Chinese stock market and provideda thorough customisation of feature engineering and deep learning-based model. The preprocessing of the stock market dataset, the use of various feature engineering approaches, and a customized deep learning based system for stock market price trend prediction make up the suggested solution, which is complete. We thoroughly assessedseveral popular machine learning models and came to the conclusion that our proposed solution outperformed the m thanks to the thorough feature engineering we developed. The method predicts stock market trends with good overall accuracy. This work adds to the stock analysis research community in both the financial and technical areas through the thorough design and evaluation of prediction term lengths, feature engineering, and data pre-processing techniques.