# MACD指标与移动平均线混合利用

## Documentation

[macdvec, nineperma] = macd(data) calculates the Moving Average Convergence/Divergence (MACD) line, macdvec , from the data matrix, data, and 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.

The MACD is calculated by subtracting the 26-period (7.5%) exponential moving average from the 12-period (15%) moving average. The 9-day (20%) exponential moving average of the MACD line is used as the signal line. For example, when MACD指标与移动平均线混合利用 the MACD and the 20% moving average line 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 input data is a matrix, you must indicate whether each row is a set MACD指标与移动平均线混合利用 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 , and the nine-period exponential moving average from the MACD line. The 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.

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## MACD指标与移动平均线混合利用

Moving Average Convergence/Divergence (MACD)

## 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 MACD指标与移动平均线混合利用 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.

The MACD is calculated by subtracting the 26-period (7.5%) exponential moving average from the 12-period (15%) moving average. The 9-day (20%) exponential moving average MACD指标与移动平均线混合利用 of the MACD line is used as the signal line. For example, when the MACD and the 20% moving average line 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 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 is calculated for the closing price series MACD指标与移动平均线混合利用 in tsobj, presumed to have been named MACD指标与移动平均线混合利用 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.

## Simple Sidebar

The starting state of the menu will appear collapsed on smaller screens, and will appear non-collapsed on larger screens. When toggled using the button below, the menu will change.

Make sure to keep all page content within the #page-content-wrapper . The top navbar is optional, and just for demonstration. Just create an element with the #sidebarToggle ID which will toggle the menu when clicked.