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The results demonstrate that the applied models within the framework such as the CNN model outperformed the other models in stock price prediction at different circumstances based on several evaluation metrics like R-Square (R2), Root Mean Square Error (RMSE), Rootmean Square (RMS), Mean Square error (MSE), Mean Average Error (MAE) and Mean Average Percentage Error (MAPE). Idiap. Parsing natural scenes and natural language with recursive neural networks. Anastasia Ioannidou, Elisavet Chatzilari, Spiros Nikolopoulos, and Ioannis Kompatsiaris. 2009. Hsin-Yu Ha, Yimin Yang, Samira Pouyanfar, Haiman Tian, and Shu-Ching Chen. This has led to the advancement in science and technology. 2016. Each category is examined thoroughly and the most relevant models are compared on benchmark datasets. Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, and Brian Kingsbury. 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