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Forecast System For Stock Price Trend Based On Pattern Recognition

Posted on:2008-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y WangFull Text:PDF
GTID:2178360212476217Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Fund can invest in stocks, bonds, foreign exchange, futures, options and other financial assets, but most fund companies in China make investments in key areas of stock since China started earliest stock transactions in the most mature, so it is very important for fund managers and fund researcher to understand the trend of the stock market dynamically and in real-time. Fortunately, the artificial intelligence technology with the growing maturity provides a powerful calculation and an analysis tool to the stock analysis, because it can think and even make a decision instead of people, which extricates the fund operators from a wide variety of diverse technical indicators and reduces the risks associated with manual analysis of forecast. Thus, the topics on how to develop a forecast system for stock price trends which supports fund managers and fund researcher to make a decision are discussed in detail in this paper.First, this paper has carefully studied the existing methods for forecasting stock market on the use of neural network technology or statistical theory and finds that these methods are absent of the research on how to further reduce...
Keywords/Search Tags:Neural Network, Supervised Learning, Combined Neural Network Model, Markov Chain, Open Architecture
PDF Full Text Request
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