| Título: | Implementation of an information retrieval system for stock option analysis |
| Autores: | Lu, Xiaofan |
| Fecha: | 2003 |
| Publicador: | McGill University - MCGILL |
| Fuente: |
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| Tipo: | Electronic Thesis or Dissertation |
| Tema: | Applied Sciences - Computer Science |
| Descripción: | Stock option trading has been very active since options were invented. Option analysis is very useful in helping investors decide investing strategies and predict the trend of the future stock movements. In this thesis, basic theory about stock option trading and some important approaches of option analysis such as option volume, open interest, put/call ratios and breakeven stock prices are discussed. A system called Stock Option Analyzer that can perform the option analysis based on these approaches is described in detail. The Stock Option Analyzer is able to automatically retrieve option quotes on any specified stock from the website Yahoo!Finance and present analysis results in the user's web browser. This analysis information is very useful for us to understand investors' opinions about the underlying stocks. The system is developed using JSP technology, utilizing JavaBeans, Java applets, and the help of the web server to generate web page contents dynamically. |
| Idioma: | en |
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