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    Technical Trading Support System (TTSS); A Stock Market Analyst Support System

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    Date
    2010
    Author
    Ndiritu, John M
    Type
    Thesis
    Language
    en
    Metadata
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    Abstract
    Stock exchanges like the Nairobi Stock Exchange (NSE) release daily, weekly, and other periodic data. This data, if filtered and stored can be of important use for stock market analysis using technical analysis methods. Currently technical analysis tools are being developed due to their perceived added advantage to those analysts who use them over those who don't. Emphasis has been on moving average based trading systems which are the simplest and most popular trend-following systems among practitioners. According to the (dual) moving average method is one of the few technical trading procedures that is statistically well defined. Both the Simple Moving Average (SMA) and the Exponential Moving Average (EMA) have been used in the system decision support. The Dual Moving Average Crossover system generates trading signals by identifying when the short-term trend rises above or below the longterm trend The goal of this project IS to develop a Technical Trading Support System (TTSS), an information system that uses selected technical indicators and charts overlay tool that can be used by market analysts and professionals. The system is developed to enable the users t9 store the data, to generate charts that aid data visualization, identify trend and enhance arralyst decision making process. System analysis, design and development methods are used to analyze, design, document, build and test the system.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23977
    Citation
    M.Sc (Information Systems)
    Sponsorhip
    University of Nairobi
    Publisher
    School of computing and informatics, University of Nairobi
    Description
    Master of Science Thesis
    Collections
    • Faculty of Science & Technology (FST) [4213]

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