Stock market buy sell signals by candlestick analysis

Pao Yue-kong Library Electronic Theses Database

Stock market buy sell signals by candlestick analysis

 

Author: Wong, Lik-man
Title: Stock market buy sell signals by candlestick analysis
Degree: M.Sc.
Year: 2009
Subject: Hong Kong Polytechnic University -- Dissertations.
Stocks -- Prices.
Stock exchanges.
Stock price forecasting.
Investment analysis.
Department: Dept. of Computing
Pages: v, 144 leaves : ill. ; 30 cm.
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b2302475
URI: http://theses.lib.polyu.edu.hk/handle/200/4404
Abstract: In the year between 2007 and 2008, there was a financial turmoil which was described as a crisis only encountered once in a century. This turmoil caused a deep impact in the worldwide stock markets. The Hang Seng Index (a weighted average index for the Hong Kong Stock Market) was dropped from 31958 to 10676 in a year time demonstrated the severity of the situation. Obviously, this turmoil caused huge loss for many investors. There are some techniques to help investors to prevent such kind of loss. This is commonly known as technical analysis. Technical analysis tries to figure out a way to urge investors to leave the stock market when it is about to fall and tell them to involve in it when it is about to rise. This dissertation tries to apply Candlestick pattern analysis, one of the well-known technical analyses, to the Hong Kong Stock Market so as to discover a trade model which would result in a better chance of gaining profit for both long-term investors and short-term speculators and, meanwhile, observe the tendency of a stock market plummet so that investors can reduce their losses to the minimum. This dissertation also performs a scientific experiment on the previous stock data in order to prove the trade model discovered.

Files in this item

Files Size Format
b23024756.pdf 7.513Mb PDF
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.

     

Quick Search

Browse

More Information