Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets

Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market

(2016) Mingyue Qiu et al.   CHAOS SOLITONS & FRACTALS

Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets

(2016) Deepak Kumar et al.   Journal of Computational Science

Application of artificial neural network models and principal component analysis method in predicting stock prices on Tehran Stock Exchange

(2015) Javad Zahedi et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Quantifying Trading Behavior in Financial Markets Using Google Trends

(2013) Tobias Preis et al.   Scientific Reports

Using artificial neural network models in stock market index prediction

(2011) Erkam Guresen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange

(2010) Yakup Kara et al.   EXPERT SYSTEMS WITH APPLICATIONS

Stock trend prediction based on fractal feature selection and support vector machine

(2010) Li-Ping Ni et al.   EXPERT SYSTEMS WITH APPLICATIONS