TAILIEUCHUNG - Intelligent Techniques in Stock Analysis

Door frames should be solidly anchored to the rough opening. There are often spaces left between the rough opening stud at a point midway up the door jamb. These spaces create a poor anchorage for hardware making the door easy to kick open. If possible, the door molding should be removed and these spaces should be filled or “shimmed” prior to mounting any new lock strikes. If the entry door opens inward, the stop strip should actually be part of the wood frame, not applied. The stop strip is a wood strip installed on or milled into the door jamb (it’s the part of the jamb that. | Intelligent Techniques in Stock Analysis Halina Kwasnicka Marcin Ciosmak Department of Computer Science Wroclaw University of Technology Wyb. Wyspianskiego 27 50-370 Wroclaw Poland kwasnicka@ Abstract. The paper presents computer system named Stock Market Electronic Expert SMEE for Stock Market Analysis. It is developed as friendly useful and credible computer program giving advises concerning investment policy on Stock Market. Fundamental and technical analysis are made automatically and - on the base of obtained partial results - system produces evaluation of companies attractiveness as well as comments and suggestions for users in text format. The system uses some filter stated by the user in the program. SMEE was tested using real data from the Warsaw Stock Exchange. Obtained results reveal high accuracy. Keywords Stock market analysis fuzzy expert system neural network Introduction Computers are useful for such tasks as analyzing and prediction of Stock Exchange computer programs can play the role of expert or advisor for investors. Different Stock Exchange can be analyzed using similar techniques because all of them work under near the same law. The popular techniques for Stock analysis are Fundamental Analysis and Technical Analysis. Very popular techniques from the field of Artificial Intelligence used for financial analysis are Artificial Neural Networks Mitchell 1997 Zurada Barski Jẹdruch 1996 . But recently others intelligent techniques as expert systems and genetic algorithms are developed to improve the judgement of traders to derive automated trading strategies or to optimize portfolio management. Some examples of such attempts one can find in Deboeck 1994 . In the presented project we tray to develop computer program useful for each trader in fact for every one of us who would like to invest on Stock. We focus on Warsaw Stock Exchange and developed system is verified using the data from this Stock. The general aim of our project can be

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