Zhe-Yu Ding

Application of Deep Learning Methods in Predicting Stock Market Direction

. This paper selects daily data from the S&P 500 from 2013 to 2024 and constructs a binary prediction box for stock market direction using average market return as the core indicator. Logistic regression is used as the baseline method to characterize linear relationships; Long Short-Term Memory (LSTM) is used to model...