Finance获取股票数据。
这里我使用两家公司31天的股票数据。
In this case, I take stock data from a 31-day period for two companies.
因此，股票数据不可能一直是正确的。
手工输入与网上下载股票数据随您选！
这样，您能利用一切资源得到每日的股票数据。
In this way, you can use all the resources of the daily stock data.
股票数据是连续的数值型数据，而不是逻辑型的。
应用程序分发者把门户网站放在股票数据分析输入应用程序之前。
The application distributor positions the portal in front of the stock data plot input application.
系统自动定时刷新股票数据，让你紧握股市的脉搏。
Automatically refresh stock from time to time, you seize the pulse of the stock market.
不过本文选择svg，并结合使用PHP为股票数据绘制一些图像。
But for this article, I choose SVG and use it in combination with PHP to do a bit of stock graphing.
对于xml和json格式而言，该服务器将返回作为文本的串行化的股票数据。
For XML and JSON formats, the server will return the stock data serialized as text.
虽然公共基金数据每天只更新一次可以缓存，但是股票数据一直在改变。
Although mutual funds data is only updated once a day and can be cached, the stocks data keeps on changing.
在比较各国收入产出之前，有必要确认收入和股票数据的量度是否一致。
Before comparing income yields across countries, it is necessary to ensure that the measurement of income and stock data is consistent.
最后，将该算法应用到股票数据的趋势挖掘中，得到了满意的实验结果。
Finally experimental figures show it has nice performance in stock data min...
选取适当的股票数据进行预测的操作，保证数据具有一定的可参考价值。
Choose proper socket data to operate, assure the data have a definite reference value.
股票数据作为经济数据的一种，跟其他经济时间序列一样，具有长记忆性。
The stock data as one of economic data is the same as other economic data, is of long memory.
这个服务会每三十天为两家公司(compa和compb)导出一些随机的股票数据。
This service exports some random stock data for two companies (compa and compb) for thirty days.
宏观上，把近数月的股票数据通过模糊时间序列匹配的方法转化为股票的长期参数；
On the macroscopical aspect, data of latest months is transformed to obtain the long-term parameters of the stock through the fuzzy time series match method.
最后，在以上研究的基础上，集合数据库、面向对象等技术实现了股票数据挖掘系统。
Finally, based on researches above, we implement the data mining system of the stock with aggregation database and object oriented technology.
由于web服务完成了检索股票数据并存储在一个简单的数据结构中，所以我只需要将数据转换成rdf。
Because the web service does the work of retrieving the stock ticker data and storing it in a simple data structure, I only needed to convert that data to RDF.
在这部分本文提出了股票数据多重分形特征值的概念，可以用一对多重分形特征值来表征股票序列的多重分形特性。
In this section, the concept of multifractal eigenvalue is proposed, so a pair of multifractal eigenvalue can represent multifractal character of stock series.
当用户点击按钮时，您可以从各个小部件(确切地说是EditText小部件)读取股票数据并填入一个新的Stock对象。
When the user clicks the button, you read the stock data from various widgets (EditText widgets to be exact) and populate a new stock object.
最后以最具代表性的上证指数为例对所建的预测模型进行训练，并用训练好的网络预测股票数据，取得了较好的效果。
At last Shanghai stock index have been applied to train the established network model, then stock datum have been predicted using the trained network and good effect has been gained.
然而，目前的这些非线性方法多数仅仅就股票数据运行规律进行研究，很少考虑投资者的心理因素对股价运行规律的影响。
However, most of those nonlinear methods are focusing on the rule of stock data, and the influence of psychological factors is seldom considered.
然而，目前的这些非线性方法多数仅仅就股票数据运行规律进行研究，很少考虑投资者的心理因素对股价运行规律的影响。
However, most of those nonlinear methods are focusing on the rule of stock data, and the influence of psychological factors is seldom considered.
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