Add to ORKGThe Nigerian Capital Market though an emerging market, has in recent times been adjudged to be one of the most resilient in the world even in the heat of the global economic meltdown. It offers high returns on investment as compensation for its high risk. In this research, we have investigated the predictive capability of the fuzzy inference system (FIS) on stocks listed on the Nigerian Stock Exchange, within a two-month window. For each selected stock, the technical indicator-based fuzzy expert system developed in Matlab 7.0 provides the buy, sell or hold decision for each trading day. A web-based user interface enables the investor to access the trade forecast for each day. Using the Netbeans IDE, we implemented the user interface with Su...
Today, investment by purchasing stock-share constitutes the greater part of economic exchange of cou...
This project discussed the possibility of using artificial intelligence (AI) techniques to formulate...
In this paper, a hybrid fuzzy-neural system for Egyptian stocks price prediction is proposed. The mo...
The Nigerian Capital Market though an emerging market, has in recent times been adjudged to be one o...
Abstract:- In this article, we discuss the application of a combination of Neural Networks and Fuzzy...
Financial Markets have been increasingly attractive as the ways of investing in stocks, commodities ...
Abstract: Stock Market is considered as one of the fundamental building block of developed country ...
The operations of the prediction of stock price are complex and risky due to fluctuation in the stoc...
Abstract:- In this article, we discuss the implementation of an Interactive Intelligent Decision Sys...
Forecasting the price movements in stock market has been a major challenge for common investors, bus...
Summarization: Many researchers have tried to model the human behavior in stock markets. Because sto...
The algorithm trading has be an increasing important trading method in today’s financial market. ...
The aim of this study is to construct appropriate portfolios by taking investor's preferences and ri...
The development of new models that would enhance predictability for time series with dynamic time-va...
The need to constantly predict stocks and making accurate decisions based on past experience of the ...
Today, investment by purchasing stock-share constitutes the greater part of economic exchange of cou...
This project discussed the possibility of using artificial intelligence (AI) techniques to formulate...
In this paper, a hybrid fuzzy-neural system for Egyptian stocks price prediction is proposed. The mo...
The Nigerian Capital Market though an emerging market, has in recent times been adjudged to be one o...
Abstract:- In this article, we discuss the application of a combination of Neural Networks and Fuzzy...
Financial Markets have been increasingly attractive as the ways of investing in stocks, commodities ...
Abstract: Stock Market is considered as one of the fundamental building block of developed country ...
The operations of the prediction of stock price are complex and risky due to fluctuation in the stoc...
Abstract:- In this article, we discuss the implementation of an Interactive Intelligent Decision Sys...
Forecasting the price movements in stock market has been a major challenge for common investors, bus...
Summarization: Many researchers have tried to model the human behavior in stock markets. Because sto...
The algorithm trading has be an increasing important trading method in today’s financial market. ...
The aim of this study is to construct appropriate portfolios by taking investor's preferences and ri...
The development of new models that would enhance predictability for time series with dynamic time-va...
The need to constantly predict stocks and making accurate decisions based on past experience of the ...
Today, investment by purchasing stock-share constitutes the greater part of economic exchange of cou...
This project discussed the possibility of using artificial intelligence (AI) techniques to formulate...
In this paper, a hybrid fuzzy-neural system for Egyptian stocks price prediction is proposed. The mo...