在算法库中，除了部分的常规预测算法，如滑动平均、指数平滑、线性回归等，还加入了BP神经网络算法进行预测。

In the arithmetic base, besides some general predict algorithm as glide average, exponential smoothness, linearity regress, etc, it adds BP neural network algorithm for forecast.

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提出了当零售商采用一次平滑指数法或简单移动平均法获得需求信息的过程中，不存在波动放大现象。

It shows that the demand variability does not increase when the retailer relies on the simply exponentially weighted moving average or the simple moving average to forecast demand.

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计算MACD首先要选定移动平均线的初值，一般以起始日的收盘价作为指数平滑移动平均线（EMA）的初值。

Firstly select initial value of moving average to calculate MACD; we generally consider the close of beginning date as the initial value of EMA.

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