Purpose This paper aims to analyze the role and performance of different artificial
intelligence (AI) algorithms in forecasting future movements in the main indices of the world's …

The recognition of the value and importance of recognizing patterns in the stock market is
widely accepted. As a result, using innovative decision-making strategies is expected to lead …

Forecasting the stock market is one of the most challenging things for investors to do to
increase their profits. The objective of this study is to predict the closing price of the stock …

Purpose This study aims to tackle the critical issue of detecting stock market manipulation,
which undermines the integrity and stability of financial markets globally. Even enhanced …

This study employs forecast stock market trends by integrating benchmark sentiment
analysis and deep learning techniques. In periods of consistent growth within the stock …

Using sentiment data to analyze the stock market fascinates many people. Algorithms for
natural language processing can glean information about market sentiment from texts like …

This research paper has focused on the integration of promising stock market indicators
such as the relative strength index (RSI) and different versions of the exponential moving …

IT Sector is one of the important sectors which plays a vital role in the development of Indian
Economy. Wipro Limited is a global Information Technology, consulting and BPS (Business …

It is generally assumed that with efficient markets, it is not possible to make accurate stock
price predictions. With the rise and rapid development of ML models in recent years, this …

The diagnosis of sleep disorders often relies on subjective patient reports, sleep diaries, and
potentially cumbersome polysomnography (PSG) tests. However, these methods have …