A data analytic approach to forecasting daily stock returns in an emerging market
Stock forecasting technology has become a hot spot for scholars and investors, with its unique charm to attract a large number of scholars and investors to be committed to the stock market forecast research. Particularly, intelligent forecasting technology has made significant achievements in this regard. This paper describes 14 advanced neural networks and support vector machine forecasting techniques at home and abroad, analyzes and summarizes the characteristics and key points of each forecasting method. Finally, it puts forward the existing problems of stock forecasting research methods and explores the prospect of the future.