Author: Tang, Wing-cheong
Title: Development of a stock time series pattern search engine
Degree: M.Sc.
Year: 2004
Subject: Hong Kong Polytechnic University -- Dissertations
Stocks -- Prices -- Charts, diagrams, etc
Stocks -- Prices -- Databases
Internet searching
Department: Department of Computing
Pages: 33 leaves : ill. ; 30 cm
Language: English
Abstract: Technical analysis is simply study the past trading transactions through financial chart pattern or time series and forecast the upcoming trends and developments of the interested markets or individuals. It is one of the most important and reliable information for stock market analysts and investors to decide what to do next over the years. However, the importance and the existence of an online financial chart pattern searching engine are not proportionally related. Although we are in an electronic computing era, we are still lack of searching tools to search a particular financial chart patterns over a stock time series. There are hundreds and thousands of financial websites around the globe. And, some of them provide a very comprehensive financial analysis and information retrieval tools. Nevertheless, none of them provide a financial chart patterns search engine. Most people are still making this serious technical analysis by actually eye balling stock price charts. The purpose of this project is to develop a user friendly and yet high performance stock time series search engine for stock market analysts and investors. This search engine can help identify financial analysis patterns for a given time period from which the analysts or investors may make forecast on the stocks exchange markets or the price movement of an individual stock.
Rights: All rights reserved
Access: restricted access

Files in This Item:
File Description SizeFormat 
b17490947.pdfFor All Users (off-campus access for PolyU Staff & Students only)1.62 MBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show full item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/199