A review of the representative models of machine learning research applied to the foreign exchange rate and stock price prediction problem is conducted. The article is organized as follows: The first section provides a context on the definitions and importance of foreign exchange rate and stock markets. The second section reviews machine learning models for financial prediction focusing on neural networks, SVM and evolutionary methods. Lastly, the third section draws some conclusions
Neural networks are commonly used methods in stock market predictions. From the earlier studies in t...
Financial markets are characterized by uncertainty, which is associated with the future progress of ...
Despite the extent of a theoretical framework in financial market studies, a vast majorityof the tra...
A review of the representative models of machine learning research applied to the foreign exchange r...
A review of the representative models of machine learning research applied to the foreign exchange r...
The modernization of the financial market, with the introduction of the internet, made it easier for...
I, Tristan Fletcher, confirm that the work presented in this thesis is my own. Where information has...
The process of predicting stock market movements may initially appear to be non-statistical due to t...
This article explores the application of advanced data analysis techniques in the financial sector u...
Foreign exchange Market is one of the most important financial movement in the world and for the pas...
Since the stock market is one of the most important areas for investors, stock market price trend pr...
Financial forecasting in general, and exchange rate prediction in particular, is an issue of much in...
Actually, exchange rate is a kind of important data in economy. There is immense economic informatio...
The following work aims to review the most important research from computational intelligence applie...
With the development of science and technology, people pay more attention to predicting the price of...
Neural networks are commonly used methods in stock market predictions. From the earlier studies in t...
Financial markets are characterized by uncertainty, which is associated with the future progress of ...
Despite the extent of a theoretical framework in financial market studies, a vast majorityof the tra...
A review of the representative models of machine learning research applied to the foreign exchange r...
A review of the representative models of machine learning research applied to the foreign exchange r...
The modernization of the financial market, with the introduction of the internet, made it easier for...
I, Tristan Fletcher, confirm that the work presented in this thesis is my own. Where information has...
The process of predicting stock market movements may initially appear to be non-statistical due to t...
This article explores the application of advanced data analysis techniques in the financial sector u...
Foreign exchange Market is one of the most important financial movement in the world and for the pas...
Since the stock market is one of the most important areas for investors, stock market price trend pr...
Financial forecasting in general, and exchange rate prediction in particular, is an issue of much in...
Actually, exchange rate is a kind of important data in economy. There is immense economic informatio...
The following work aims to review the most important research from computational intelligence applie...
With the development of science and technology, people pay more attention to predicting the price of...
Neural networks are commonly used methods in stock market predictions. From the earlier studies in t...
Financial markets are characterized by uncertainty, which is associated with the future progress of ...
Despite the extent of a theoretical framework in financial market studies, a vast majorityof the tra...