Stock Market Prediction Using Artificial Neural Networks

Stock Market Prediction using Feed-forward Artificial Neural Network

This paper presents computational approach for stock market prediction. Artificial Neural Network (ANN) forms a useful tool in predicting price movement of a particular stock. In the short term, the pricing relationship between the elements of a sector holds firmly. An ANN can learn this pricing relationship to high degree of accuracy and be deployed to generate profits with sufficiently large ...

Using artificial neural network models in stock market index prediction

Forecasting stock exchange rates is an important financial problem that is receiving increasing attention. During the last few years, a number of neural network models and hybrid models have been proposed for obtaining accurate prediction results, in an attempt to outperform the traditional linear and nonlinear approaches. This paper evaluates the effectiveness of neural network models which ar...

A Technique to Stock Market Prediction Using Fuzzy Clustering and Artificial Neural Networks

Stock market prediction is essential and of great interest because successful prediction of stock prices may promise smart benefits. These tasks are highly complicated and very difficult. Many researchers have made valiant attempts in data mining to devise an efficient system for stock market movement analysis. In this paper, we have developed an efficient approach to stock market prediction by...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

Stock Market Investing Using Neural Networks

The fundamental hypothesis of this paper is that certain trends exist in stock market data that, if properly recognized, could be used to invest well on certain stocks. This paper details an attempt to apply neural networks to stock market investing, in order to create an agent that can learn to invest profitably in certain stocks. To accomplish this, a classification scheme is developed which ...