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The Application Of Plan Recognition In Monitoring The Money Flow For The Stock Market

Posted on:2012-11-14Degree:MasterType:Thesis
Country:ChinaCandidate:D G DuFull Text:PDF
GTID:2219330338494840Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Two decades years has seen the vigorous development of stock market in china. By the end of 2009, the market value scale of China surmounts Japan becomes the second largest after the U.S in the word, realizing the leap fog development. But generally speaking, China's stock market is still an emerging market, there are still many deficiencies, among which banker manipulation is the most serious problem. In view of this problem, domestic scholar have done a lot of research and achieved certain result. However, in practical applications still face many problems. We introduce the technology of plan recognition to the domain of stock market in this paper. Based on the technology of plan recognition, we build an algorithm to monitor the money flow of the stock market. The question of plan recognition is the issues which cross the field between psychology and artificial intelligence. It includes work on story understanding, psychological model, natural language pragmatics, and intelligent computer system interfaces. After more than 20 years of development, the application of plan recognition is increasing constantly.Due to the disorderly trading, retail investors is very difficult to change the trend of stock price. Bankers dominate the trend of stock prices. The share price will rise if the bankers actively buy stocks, and vice versa. The operation gimmick of the banker reflected on the time sharing chart, which creates the opportunity for retail investors to judge the bankers' intentions. We abstract the action of the banker from time sharing chart. Then set planning library based on the operation gimmick of the banker. We identify the banker's intention by observing their action. Because of the hostile state, the bankers usually hide their true intentions to hamper identification. The true degree function is built to describe the degree that the action belongs to the plan of the banks. Finally, monitoring the money flows based on the intent of the banker. At last, test the effectiveness of the algorithm through experiments, which has achieved sound effects.
Keywords/Search Tags:plan recognition, stock market, abstract action, plan
PDF Full Text Request
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