尽管美国人口普查局的数据显示了这一信息，但实体零售股票的价值一直在下降。
Despite what the Census data suggest, the value of physical retail stocks has been dropping.
为什么呢，因为作者无法得到数据，两国没有股票市场？
Why not? Well, they can't get data, there wasn't a stock market.
匿名函数的参数是两项市场数据：股票代码和价格。
The anonymous function takes two market data as arguments: a ticker symbol and a price.
想用历史数据解答“股票便宜吗？”
The problem with attempts that use historical data to answer "Are stocks cheap?"
两国是否存有过去100年的股票市场数据。
They have any stock market disruptions in the last one hundred years?
因此，股票数据不可能一直是正确的。
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.
apply_biz_rules函数将一个内部函数映射到市场数据中的每一对股票代码/股价。
The apply_biz_rules function maps an inner function to each ticker/price pair within the market data.
Finance获取股票数据。
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.
然后通过实例讨论了数据采掘在股票分析与决策系统中的应用。
Finally, we discuss the application of data mining for the analysis and decision of stock.
并在股票交易的历史数据基础上，进行了实证分析。
And I do a demonstration analysis based on history exchange data of stock market.
根据有关数据表明，我国股票市场存在着明显的投机行为。
Obviously there are speculations in Chinese stock market according to some data statistics.
一开始下载至少2年的股票或期货数据。
Begin by downloading your stock or futures data for a minimum of two years.
在这里您可以找到所有必要的功能来管理您的数据的股票。
Here you can find all the necessary functions to manage your data stock.
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.
股票数据是连续的数值型数据，而不是逻辑型的。
介绍了股票指数波动率的概念和基本的估计方法，并用有关数据进行了计算。
In this paper, the concept and the estimation method of index volatility are introduced.
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.
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.
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...
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...
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