Evaluating the Effectiveness of Machine Learning Algorithms in Stock Price Prediction Across Different Time Frames

Isabella J E Lim, Amy L Y Low, Kenneth Y T Lim

Keywords: machine learning, financial forecasting, algorithmic trading, Singapore, stock price prediction

TL;DR: Random Forest, Support Vector Regression, K-Nearest Neighbors, Artificial Neural Networks, and Long Short-Term Memory models were evaluated to analyse their respective performance in predicting stock price trends within Singapore's banking sector.

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Submission Number: 60