Stock-market prediction using machine-learning technique aims at developing effective and
efficient models that can provide a better and higher rate of prediction accuracy. Numerous …

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 …

Stock market prediction is considered as an important yet challenging aspect of financial
analysis. The difficulty of forecasting arises from volatile and non-linear nature of stock …

The paper focuses on predicting the Nifty 50 Index by using 8 Supervised Machine Learning
Models. The techniques used for empirical study are Adaptive Boost (AdaBoost), k-Nearest …

The problem of predicting stock returns has been an important issue for many years.
Advancement in computer technology has allowed many recent studies to utilize machine …

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 …

Predicting the stock market has been done for a long time using traditional methods by
analyzing fundamental and technical aspects. With machine learning, stock market …

In recent years, machine learning and deep learning have become popular methods for
financial data analysis, including financial textual data, numerical data, and graphical data …

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 …

Forecasting the direction and trend of stock price is an important task which helps investors
to make prudent financial decisions in the stock market. Investment in the stock market has a …