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Real Data Analysis On Bio-Stock Information Theory

Posted on:2006-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:L M LiFull Text:PDF
GTID:2166360155954982Subject:Business management
Abstract/Summary:PDF Full Text Request
How to forecast the future stock price has been a hot topic on invest theories and activities for rather a long time. Bio-stock information theory is a new method to forecast the future stock price, it applies the principle of genetic engineering and information science to the stock market and puts forward using stock triplet information code to represent the ups and downs and forecasting the future stock price with stock infonnation code order map and function stock triplet infonnation codes.This thesis introduces the Bio-stock information theory at first, and then makes the stock triplet information code of the real day close price data of all A stock in Shanghai and Shenzhen stock market based on the principle of making stock triplet information code. It makes real data analysis on the method of using "the world stock triplet information code order map" and "the stock market information code order of head part" to forecast the future stock price at last. By the analysis, it gets the following results:1. The stock triplet infonnation code of the real day close price data of all A stock can accord with "the world stock triplet information code order map" completely by adding "UUU" to "UUU" and "CCC" to "CCC", but the map is only a map of unlimited cycling binary tree, it's of non-sense to forecast the future stock price.2. The fail rate of using "thestock market information code order of head part" to forecast the future stock price will go into head part is very high, this method is invalid because the downs after the highest price of those stocks which accords with those orders is not deep enough to form a head part.In all, the Bio-stock information theory is fail and impractical through real data analysis.
Keywords/Search Tags:Bio-stock information theory, triplet stock information code, real data analysis
PDF Full Text Request
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