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 MACD指标与移动平均线混合利用 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 MACD指标与移动平均线混合利用 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 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 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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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.
Documentation
[macdvec, nineperma] = macd(data) calculates the Moving Average Convergence/Divergence (MACD指标与移动平均线混合利用 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 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 MACD指标与移动平均线混合利用 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 , 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 MACD指标与移动平均线混合利用 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 MACD指标与移动平均线混合利用 exponential moving average of the MACD line.