there are two major methods in predincing the pattern of share value in the stock market: fundamental analysis and technical analysis. i this study we developed a novel model for fundamental analysis of share price and validated it by predicting the behavior of phrama share price in tehran stock market. the efficiency of the fundamental method was compared with that of indicator-based technical...

Billions of dollars worth of shares are traded in the stock market on a daily basis. Many people depend on the stock market as their primary source of income while others have their retirement funds tied to the stock market. The importance of “good” performance of the stock market is obvious. History has shown that a downturn in stock prices can cause major disturbances in the lives of many. Al...

This paper surveys recent literature in the domain of machine learning techniques and artificial intelligence used to predict stock market movements. Artificial Neural Networks (ANNs) are identified to be the dominant machine learning technique in stock market prediction area. Keywords— Artificial Neural Networks (ANNs); Stock Market; Prediction

With trend of globalization in the international financial market, a more intimate relationship of capital flows is being formed day by day in capital market. Thus, it is important to understand the relationship of individual country with others in the international stock markets. The main purpose of this study is to explore the relationship of Stock Indices among China, US, and Japan. The stud...

We analyze the relations between the stock market and a stock bulletin board system (BBS) in Japan. Previous studies in the USA found that the characteristics of messages posted on stock BBSs can predict market volatility and trading volume. We develop hypotheses based on the results of those analyses and apply statistical analysis to the data about companies mentioned in a large number of mess...

Prediction of stock market trends has been an area of great interest both to researchers attempting to uncover the information hidden in the stock market data and for those who wish to profit by trading stocks. The extremely nonlinear nature of the stock market data makes it very difficult to design a system that can predict the future direction of the stock market with sufficient accuracy. Thi...