As part of a business strategy, effective competitive research helps businesses outperform
their competitors and attract loyal consumers. To perform competitive research, sentiment …

Numerous recent studies have attempted to create efficient mechanical trading systems
through the use of machine learning approaches for stock price estimation and portfolio …

The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal
and external environmental variables. Artificial intelligence (AI) techniques can detect such …

Forecasting the stock market is one of the most difficult undertakings in the financial industry
due to its complex, volatile, noisy, and nonparametric character. However, as computer …

News sentiment can influence stock prices indirectly, in addition to the technical indicators
already used to analyze stock prices. The information quantification of news sentiment by …

Determining the price movement of stocks is a challenging problem to solve because of
factors such as industry performance, economic variables, investor sentiment, company …

Social media has been embraced by different people as a convenient and official medium of
communication. People write or share messages and attach images and videos on Twitter …

The literature on stock forecasting using the innovative technique of Artificial Intelligence (AI)
has become overwhelming, making it quite challenging for academics and relevant …

One of the most difficult problems analysts and decision-makers may face is how to improve
the forecasting and predicting of financial time series. However, several efforts were made to …

The COVID-19 pandemic has deeply influenced our emotional state, leading to significant
volatility in the Indian stock market throughout the year. Emotions have become a key factor …