股票价格的分析与预测

Tao Xing, Yuan Sun, Qian Wang, Guo Yu
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引用次数: 21

摘要

如今,股票市场以其高风险、高收益的特点越来越受到人们的关注,非线性回归等股票价格预测方法也层出不穷。本文介绍了一种基于隐马尔可夫模型的股票价格趋势预测方法。与现有的股票预测不同,本文试图找到股票价格之间存在的隐藏关系,对应于隐马尔可夫模型。实验结果表明,该方法能得到较准确的预测结果,尤其对短周期预测有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The analysis and prediction of stock price
Nowadays, the stock market has attracted more and more people's attention with its high risk and high returns, and forecasting method of stock price also emerge in an endless stream, such as nonlinear regression. In this paper, we introduce a kind of method based on Hidden Markov Model to forecast stock price trend. Which is different from the existing stock prediction, this paper attempts to find the hidden relationship existing between the stock prices, and corresponds to the Hidden Markov Model. The experimental result shows that, this method can get pretty accurate result, particularly effective in short period prediction.
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