Intelligent technical analysis using neural networks and fuzzy logic
"The objective of this study is to evaluate the use of fuzzy logic and neural networks for increasing the efficiency of using technical analysis for predicting stock trading signals. The goal is to develop a Fuzzy-Neuro model which combines the contradicting decisions of individual technical indicators into a single buy/sell decision and by doing so effectively predict the movement of stock price trends."--page 3.
Engineering Management and Systems Engineering
M.S. in Engineering Management
University of Missouri--Rolla
ix, 46 pages
© 2002 Vamsi Krishna Bogullu, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Stocks -- Prices
Neural networks (Computer science)
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b4976940~S5
Bogullu, Vamsi Krishna, "Intelligent technical analysis using neural networks and fuzzy logic" (2002). Masters Theses. 2266.
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