This paper presents a new method based on Attribute Theory and Bernstein Basic Function fitting after thorough study of stock investment and prediction technology.
本文在深入分析股票投资理论和股价预测方法的基础上，提出了利用属性论方法和波恩斯坦基函数拟合技术的股市预测算法。
Stock market seasonal fluctuation is a part of short time fluctuation theory in stock investment return. This kind of phenomenon exists in the stock market of a lot of countries.
股票市场季节性波动是股票投资收益的短期波动理论，这种现象在许多国家的股票市场中存在。
In the stock price predicting, the Gray Markov predict Method USES the foundational theory, gives revision and expects to offer some guidance for investors' investment decision.
灰色马尔可夫预测方法在股票价格预测中应用理论基础，运用修正方法，能为投资者的投资决策行为提供一定的指导。
By comparing to the evaluation of stock value based on expected utility theory, the value of prospect theory-based evaluation model can better reflect the investment value of the stock.
通过和基于期望效用理论的评价对比发现基于前景理论的价值评价模型更能反映出股票的投资价值。
By comparing to the evaluation of stock value based on expected utility theory, the value of prospect theory-based evaluation model can better reflect the investment value of the stock.
通过和基于期望效用理论的评价对比发现基于前景理论的价值评价模型更能反映出股票的投资价值。
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