Stock market or individual stock forecasting poses a significant challenge due to the
influence of uncertainty and dynamic conditions in financial markets. Traditional methods …

In recent years, with the rapid development of Internet technology, the number of credit card
users has increased significantly. Subsequently, credit card fraud has caused a large …

As the economy has grown rapidly in recent years, more and more people have begun
putting their money into the stock market. Thus, predicting trends in the stock market is …

Inflation growth in Indonesia and other countries impacts the currency value and investors'
purchasing power, particularly in the transportation sector. This research explores the impact …

This review paper thoroughly examines the role of technical analysis in energy and financial
markets with a primary focus on its application, effectiveness, and comparative analysis with …

This study proposes a novel hybrid model, called ICE2DE-MDL, integrating secondary
decomposition, entropy, machine and deep learning methods to predict a stock closing …

Stock market prediction is a challenging and complex problem that has received the
attention of researchers due to the high returns resulting from an improved prediction. Even …

Abstract The objective of Stock Market Forecasting (SMF) is to forecast the future value of a
company's financial stocks. The availability of Machine Learning (ML), particularly obtains …

Predicting future direction of stock markets using the historical data has been a fundamental
component in financial forecasting. This historical data contains the information of a stock in …

Stock market prediction by using Machine Learning (ML) models has been a hot topic of
research for more than a decade. Combined with the power of sentiment analysis and ML …