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MACD指标与移动平均线混合利用

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MACD指标与移动平均线混合利用

Moving Average Convergence/Divergence (MACD)

Syntax

Arguments

Dimension. Default = 1 (column orientation).

Financial time series object

Data series name

Description

[macdvec, nineperma] = macd(data) calculates the Moving Average Convergence/Divergence (MACD) line, macdvec, from the data matrix, data, as well as the nine-period exponential moving average, nineperma, from the MACD line.

When the two lines are plotted, they can give you an indication of whether to buy or sell a stock, when an overbought or oversold condition is occurring, and when the end of a trend might occur.MACD指标与移动平均线混合利用

The MACD is calculated by subtracting the 26-period (7.5%) exponential moving average from the 12-period (15%) moving average. The MACD指标与移动平均线混合利用 9-day (20%) exponential moving average of the MACD line is used as the signal line. For example, when the MACD and the 20% moving average line MACD指标与移动平均线混合利用 have just crossed and the MACD line falls below the other line, it is time to sell.

[macdvec, nineperma] = macd(data, dim) lets you specify the orientation direction for the input. If the MACD指标与移动平均线混合利用 input data is a matrix, you need to indicate whether each row is a set of observations (dim = 2) or each column is a set of observations (dim = 1, the default).

macdts = macd(tsobj, series_name) calculates the MACD line from the financial time series tsobj, as well as the nine-period exponential moving average from the MACD line. The MACD指标与移动平均线混合利用 MACD is calculated for the closing price series in tsobj, presumed to have been named Close. The result is stored in the financial time series object macdts. The macdts object has the same dates as the input object tsobj and contains only two series, named MACDLine and NinePerMA. The first series contains the values representing the MACD line and the second is the nine-period exponential moving average of the MACD line.