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DC FieldValueLanguage
dc.contributorDepartment of Computingen_US
dc.creatorWong, Lik-man-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/4404-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleStock market buy sell signals by candlestick analysisen_US
dcterms.abstractIn 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.en_US
dcterms.extentv, 144 leaves : ill. ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2009en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertations.en_US
dcterms.LCSHStocks -- Prices.en_US
dcterms.LCSHStock exchanges.en_US
dcterms.LCSHStock price forecasting.en_US
dcterms.LCSHInvestment analysis.en_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/4404