With the advent of technological marvels like global digitization, the prediction of the stock
market has entered a technologically advanced era, revamping the old model of trading …

Stock market investment strategies are complex and rely on an evaluation of vast amounts of
data. In recent years, machine learning techniques have increasingly been examined to …

In this literature review, we investigate machine learning techniques that are applied for
stock market prediction. A focus area in this literature review is the stock markets …

Stock market prediction is a major exertion in the field of finance and establishing
businesses. Stock market is totally uncertain as the prices of stocks keep fluctuating on a …

Prediction of stock prices is one of the most researched topics and gathers interest from
academia and the industry alike. With the emergence of Artificial Intelligence, various …

Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …

Several intelligent data mining approaches, including neural networks, have been widely
employed by academics during the last decade. In today's rapidly evolving economy, stock …

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 …

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 …

Stock market trading is a major and predominant activity when one talks about the financial
markets. With the inevitable uncertainty and volatility in the prices of the stocks, an investor …