The project is based on stock market price prediction using sentiment analysis and technical indicators for better prediction results. Our proposed model EEMD-Ensemble CNN is a complex Deep learning model which utlizes the IMFs and Residues of the targeted columns and make predictions. Our model outperforms all other baseline models with a notable R2-Score of 98.76%. This project is accepted under the Journal of Springer Nature: Social Network Analysis and Mining. Full paper can be found from here: https://link.springer.com/article/10.1007/s13278-023-01190-w Distribution, alteration or any mal-practice of this code without prior permission subject to copyright issue.