The stock market is a key pivot in every growing and thriving economy, and every investment
in the market is aimed at maximising profit and minimising associated risk. As a result …

Achieving accurate stock market models can provide investors with tools for making better
data-based decisions. These models can help traders to reduce investment risk and select …

Big data is the collection of large datasets from traditional and digital sources to identify
trends and patterns. The quantity and variety of computer data are growing exponentially for …

Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

This paper develops ensemble machine learning models (XGBoost, Gradient Boosting, and
AdaBoost in addition to Random Forest) for predicting stock returns of Indian banks using …

ABSTRACT Over-the-counter (OTC) stocks are securities that are traded outside of
traditional exchanges and are usually issued by smaller companies. These stocks can be …

The stock market is of paramount importance to modern society. Decision support in this
sense must consider multiple criteria and be able to deal with the different stages involved …

Carbon prices have been rapidly increasing in the EU since 2018 and accurate forecasting
of EU Emissions Trading System (ETS) prices has become essential. This paper proposes a …

This study investigates the predictive power of informed traders' activities in stock price
movements by employing neural networks. Specifically, we examine whether informed …

It has been a challenge to develop a successful model for accurate stock price trend
prediction. This paper aimed to develop an accurate model based on semantic analysis of …