Font Size: a A A

Visual Stock Technical Index Analysis And Forecast Tools Development

Posted on:2011-04-11Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y QianFull Text:PDF
GTID:2189360308452613Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Just like banking and insurance, securities investment has become an essential part innational econmy. It is more and more important in capital markets with the development ofour countries economy, the depth of our economical and financial system revolution.Furthermore, due to its fastest speed, powerful ability and minimum cost in financing,securities investment is the most adaptive tool in market economy. So it costs a great deal ofcapital that was plunged into stock market and other correlative security market. For investors,if you want to gain more, it is important to analysis the price of stocks. a excellent stockanalysis software will double their profits in stock investment. Although there are many kindsof stock analysis software , but most of them only can provide traditional technical index andbasic analysis. Most investors can't afford the software that can provide characteristic index.It is inconvenient for most common investors to analysis. Furthermore, these years,nerve nethas been put forward once more because of it's powerfulability in fitting nolinear timesequence. The forecasting of share price by nerve net is becoming a new research directionfor foreign academicians with the development of computer technology.Since there is few stock analysis software for investors to indicate exchange signaldefinitely, this article designed visible characteristic technical index and lined out theexchange signal by developing free DZH software based on DZH formula editor. In this way investors can use stock analysis software more convenient and effective without payment. Forit is rarely in our country to research in stock analysis by using nerve net, so the article set upthree stock models base on the closing price,the price and amount,the technical index byMATLAB in order to compare their performance to make models more practical.The article is including some parts as follows:(1) Researching stock technical analysis index deeply, developing DZH software overagain by using DZH formula editor, design a new technical index system. In the index, wewill give dealing signal, edit the candle sticks, it's convenient for investors to analysis anduse.(2) Setting up characteristic chief chart index, colorized MACD index, buy and sellindex , advance trend index , testing profits of 175 stocks in different parts.(3) Researching BP nerve net arithmetic, in order to forecast future prices of 100stocks ,setting up nerve net model based on the price and amount of stock, 10day's closing price andpivotal technical index by modifying nerve net arithmetic.(4)Testing share price in different ways based on the model including latent functionnode, different numbers of sample, learning velocity, inspire function. Analysising the effectof forecasting conclusion in different parameters,sample numbers and insoire functions. In theend,get relative conclusion.
Keywords/Search Tags:nerve net, forecast share price, BP, stock technical analysis
PDF Full Text Request
Related items