本文選題：股票分析　切入點(diǎn)：web信息抽取　出處：《中國海洋大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著世界經(jīng)濟(jì)和股票市場的發(fā)展，越來越多的人將股票投資作為一種理財方式。在我國，股票證券交易不過十幾年時間，但發(fā)展卻非�？�。然而，由于對國內(nèi)市場沒有清晰的認(rèn)識、缺乏股票數(shù)據(jù)分析相關(guān)知識等一系列原因，很多人買賣股票非常盲目，造成很大的損失。國內(nèi)市場也有不少股票分析軟件，但都大同小異，都是將各種數(shù)據(jù)通過圖表及各種曲線的方式展示給用戶，沒有幫助股民進(jìn)行智能分析的能力，不對股票的走向，以及如何進(jìn)行操作給出任何建議。因此，開發(fā)一款具有智能分析并給出投資者合理建議的股票分析系統(tǒng)勢在必行。 通過對現(xiàn)有股票分析系統(tǒng)和股票分析方法的研究，股票系統(tǒng)應(yīng)該具有股票數(shù)據(jù)的獲取、股票技術(shù)圖形的繪制、股票分析和預(yù)測等功能，本文以實現(xiàn)這些功能為目的從以下幾個方面依次展開研究： 首先，，本文對股票的知識作了相關(guān)介紹，對股票分析系統(tǒng)的總體設(shè)計和部分實現(xiàn)進(jìn)行了論述； 然后，系統(tǒng)采用軟件工程的方法進(jìn)行設(shè)計和分析，采用迭代模型進(jìn)行開發(fā)和實現(xiàn)，最終開發(fā)和完成了“理智股票分析系統(tǒng)”的原型系統(tǒng)； 最后，通過一段時間的測試和應(yīng)用，新系統(tǒng)能夠準(zhǔn)確全面的獲取所需的股票數(shù)據(jù)，所建立的財務(wù)分析、智能選股、量價分析、信息檢索等模型對股票投資的指導(dǎo)有一定的參考價值。另外，系統(tǒng)軟件的設(shè)計方法和結(jié)構(gòu)對其他信息提取和分析類軟件同樣適用。 本論文所設(shè)計的智能股票分析系統(tǒng)以價值投資為理念，通過對股票歷史交易數(shù)據(jù)和財務(wù)數(shù)據(jù)的關(guān)系進(jìn)行研究，最終得出股票的內(nèi)在價值，對數(shù)據(jù)獲取的實時性要求不高，不但可以節(jié)省費(fèi)用，擺脫現(xiàn)有系統(tǒng)對數(shù)據(jù)獲取實時性的要求，并且獲取的數(shù)據(jù)更加全面，更加便于進(jìn)行數(shù)據(jù)分析。同時，本文所設(shè)計的新系統(tǒng)基于.NET平臺，使用GDI+技術(shù)開發(fā)股票技術(shù)圖形相關(guān)模塊，并且采用坐標(biāo)轉(zhuǎn)換、雙緩沖等方法，從而很好地解決了相關(guān)圖形的顯示、繪制和刷新等問題。
[Abstract]:With the development of the world economy and the stock market, more and more people regard stock investment as a kind of financial management. In our country, stock and securities trading is only ten years, but the development is very fast. However, Because of the lack of a clear understanding of the domestic market, lack of knowledge about stock data analysis, and other reasons, many people are very blind in buying and selling stocks, resulting in great losses. There are also quite a few stock analysis software in the domestic market, but they are mostly the same. They show the data to users through charts and curves, they don't have the ability to help investors with intelligent analysis, they don't give any advice on where the stock is going and how it works. So, It is imperative to develop a stock analysis system with intelligent analysis and reasonable advice to investors. Through the research on the existing stock analysis system and stock analysis method, the stock system should have the functions of obtaining stock data, drawing stock technical graph, stock analysis and forecasting, etc. The purpose of this paper is to realize these functions from the following aspects:. First of all, this paper introduces the knowledge of stock, and discusses the overall design and partial implementation of stock analysis system. Then, the system adopts the method of software engineering to design and analyze, uses iterative model to develop and implement, and finally develops and completes the prototype system of "rational stock analysis system". Finally, through a period of testing and application, the new system can accurately and comprehensively obtain the required stock data, established financial analysis, intelligent stock selection, volume price analysis, The information retrieval model has certain reference value for the guidance of stock investment. In addition, the design method and structure of the system software are also applicable to other information extraction and analysis software. The intelligent stock analysis system designed in this paper is based on the concept of value investment, through the research on the relationship between stock historical trading data and financial data, finally the intrinsic value of stock is obtained, and the real-time requirement of data acquisition is not high. It can not only save the cost, get rid of the requirement of real-time data acquisition, but also obtain more comprehensive data, more convenient for data analysis. At the same time, the new system designed in this paper is based on .NET platform. Using GDI technology to develop the related module of stock technology graphics, coordinate transformation, double buffering and other methods are used to solve the problems of display, drawing and refreshing of related graphics.
【學(xué)位授予單位】：中國海洋大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP311.52;F832.51

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 張成洪;古曉洪;白延紅;;Web數(shù)據(jù)抽取技術(shù)研究進(jìn)展[J];計算機(jī)科學(xué);2004年02期

2 李凌志;張玉婷;;基于本體的信息集成研究[J];情報雜志;2008年01期

本文編號：1576032