Literature Review on Stock Market Prediction using ANN

Literature Review on Stock Market Prediction using ANN

Artificial Neural Networks (ANNs) have been widely explored as a tool for stock market prediction.

These machine learning algorithms use historical data, such as stock prices and trading volume, financial

statements, and economic indicators to make predictions. We examined thirty journal papers published

between 1998-2021. The main object of this paper is to show the systematic and comprehensive evaluation of

ANN in stock prediction. We find that the success of ANNs in stock market prediction also depends on factors

such as the size and quality of the dataset, the design of the network, and the choice of hyperparameters.

Therefore, ANNs should be used with caution and interpreted critically to get the best results.