Forecasting the behavior of the stock market is a classic but difficult topic, one that has
attracted the interest of both economists and computer scientists. Over the course of the last …

Stock market prediction has always caught the attention of many analysts and researchers.
Popular theories suggest that stock markets are essentially a random walk and it is a fool's …

This research paper explores the performance of Machine Learning (ML) algorithms and
techniques that can be used for financial asset price forecasting. The prediction and …

Today, stock market has important function and it can be a place as a measure of economic
position. People can earn a lot of money and return by investing their money in the stock …

The stock market is viewed as an unpredictable, volatile, and competitive market. The
prediction of stock prices has been a challenging task for many years. In fact, many analysts …

This study's primary goal is to investigate and gain better knowledge of the relationship
between ChatGPT usage dimensions such as analyzing data, managing risk, optimizing …

Stock market trends forecast is one of the most current topics and a significant research
challenge due to its dynamic and unstable nature. The stock data is usually non-stationary …

This paper analyzes the factor zoo, which has theoretical and empirical implications for
finance, from a machine learning perspective. More specifically, we discuss feature selection …

Numerous machine learning models have been developed to achieve the 'real-life'financial
objective of optimising the risk/return profile of investment strategies. In the current article:(a) …

Due to its dynamics, non-linearity and complexity nature, stock market is inherently difficult to
predict. One of the attractive objectives is to predict stock market movement direction by …