, high, low price parameters for prediction. Research considers the next day's stock price prediction using a deep learning … framework (SPDL). The data set is transformed by various deep learning techniques to get more accurate results. The proposed … model produces approximately 85 % of accurate predictions with a deep learning framework. The market trends in terms of high …

machine learning. We propose a novel adjusted learning algorithm based on peak price tracking for OLPS to tackle this … algorithm called the PPTA-NPM to maximize the cumulative return. Extensive benchmark data experiment results and statistical …