… the stock price trend, this study proposes an Attention mechanism and Layer normalization-based
… in this study is 4.27% and 6.32% higher than the deep learning model LSTM and the …

… Critical analysis of artificial intelligence As per the survey done in this paper, authors
found 6 numbers of papers address the security issue of IoT. In an application like smart …

… method in Taiwan’s stock market environment, … research that uses reinforcement learning
Policy Gradient techniques. The experimental results show that the win rate of this study in short…

… machine learning techniques. Despite many different text feature representation methods
being used for stock prediction, there is no a comprehensive study … level of stock price changes …

… In this thesis, machine learning has been implemented … trading, the variation of the stock
price has to be higher than the … a comparative study by incorporating supervised learning (SL…

… stock price changes from 11th of the current month to 10th of the next month. This study uses
nine different machine learning … , this study respectively calculates go long, go short, and go …

… The outcome of our study is encouraging. Among the five candidate machine learning models
… First, we will increase the coverage to all stocks in Taiwan equity market and expand the …

… In our surveys, we found that most of the portfolio selection … method such as reinforcement
learning or recurrent neural … In our work, we tried to develop a strategy on stock market with …

… of stock price of each company and the stock price fluctuation range. Design/methodology/approach-In
this study, four machine learning algorithms are used to predict the stock prices …