In stock market, successful investors can earn maximum profits depended on a stock
selection and a suitable time on trading. Generally, investors use two statistical techniques …

Accurate and effective financial data analysis is very important for investors to avoid risks
and formulate profitable investment strategies. Therefore, the analysis of financial data has …

In this paper, the daily returns of the S&P 500 stock market index are predicted using a
variety of different machine learning methods. We propose a new multinomial classification …

Abstract Artificial Neural Networks can be used to predict future returns of stocks in order to
take financial decisions. Should one build a separate network for each stock or share the …

In a financially volatile market, as the stock market, it is important to have a very precise
prediction of a future trend. Because of the financial crisis and scoring profits, it is mandatory …

Stock market is a complex non-linear dynamic system which is affected by many factors.
Traditional analysis and forecasting methods are insufficient to accurately reveal the …

The prediction of stock price performance is a difficult and complex problem. Multivariate
analytical techniques using both quantitative and qualitative variables have repeatedly been …

Research of quantitate investment on stock price prediction is effective to help investors
increase profits. Recently, technologies of machine learning have been well applied to …

Stock market prediction pertains to predicting the future value of stock of a company or other
financial instrument traded on an exchange. Though the successful prediction of a stock's …

In the field of securities investment, how to choose the right stock is always an essential
subject to investigate. In order to successfully identify the fluctuation trend of stock-price, this …