A novel approach to predict future market direction has been introduced based on chart patterns recognition by using data mining classification. Models are built through different methods including neural network, decision tree, nave Bayes and k-nearest neighbors. Results were obtained, compared and ...
Yanshan, Wang., Anam-dong., Market Index & Stock Price Direction Prediction using Machine Learning Techniques: An empirical study on the KOSPI & HIS. Elsevier science direct00 () 1(13), 2013.Y. Wang, I.-Ch. Choi, "Market index and stock price direction prediction using machine learning ...
Stock Market Analysis and Prediction using Machine Learning Algorithm The prediction of a stock market direction serves as an unseasonable recommendation of system for shortterm investors and before time financial distress wa... SV Shashikala,HS H. - 《International Journal for Research in Applied Scie...
Stock market predictions showing future index moves help you easily and consistently beat Wall Street. Trade ETFs, High Beta Stocks, Options, and Futures. Market Turning Points
Quantitative methods used to predict the direction of stock market returns aim to assist decision-makers in taking action to buy or sell stocks at the best possible time. Prediction is one of the data mining techniques adopted in this research to achieve the research objective of using data anal...
Prediction of stock market returns is an important issue in finance. Artificial neural networks have been used in stock market prediction during the last decade. Studies were performed for the prediction of stock index values as well as daily direction of change in the index. In some applications...
The research presented in this work focuses on financial time series prediction problem. The integrated prediction model based on support vector machines (SVM) with independent component analysis (ICA) (called SVM-ICA) is proposed for stock market prediction. The presented approach first uses ICA tec...
Stock Market Forecast Investors have been waiting a long time for clarity on which direction theeconomywould head and whether disaster loomed due to the debt bomb, low tax revenue, and continuous high interest rates. Today, everyone received clarity with theelection of President Trump. The current...
stock market price prediction. Hidden features and noises embedded in the price data are threats of this work. The authors treated the research question as a time sequence problem. The best part of this paper is the feature engineering and optimization part; we could replicate the methods they ...
Financial news Forecasting MLP Regressor News sentiment analysis Stock Market Stock prediction View PDFReferences [1] W. Khan, M.A. Ghazanfar, M.A. Azam, A. Karami, K.H. Alyoubi, A.S. Alfakeeh Stock market prediction using machine learning classifiers and social media, news J. Ambient Int...