The research aims to study the extent of reliance by the investors in DSE on fundamental analysis and technical analysis in making investment decisions, additionally examines factors affecting the extent of reliance of investors on those techniques i
n their decision-making.
The research in theoretical part concept of fundamental analysis by displaying the definition , importance , information sources , standards , methods and techniques used in fundamental analysis and technical analysis by displaying the tools for the stock price and market theories and analyzes of advanced technical analysis.
This thesis focused on composing two models built by using Neural Networks techniques for increasing the accuracy of predicting result represented by stock value in stock market, where the proposed solution includes two modalities of processing: in f
irst one, we build two neural networks which we want to compose, one of the two networks deals with previous stock’s prices and the other one with indecators of technical analysis, then we will compose the outputs of these two networks into third neural network which represents the second modality of processing.
