Center Weighted Moving Average (CWMA)

14 ธ.ค. 2022

This is a pine script that defines and implements a custom weighted moving average (WMA) indicator. The script first defines a function called wma that calculates the weighted moving average of a given data source (src) with a specified set of weights (weights) over a specified length (len). The wma function first computes the weighted sum of the source data by multiplying the source data with the weights and summing over the length. It then calculates the sum of the weights. Finally, it divides the weighted sum by the sum of the weights to compute the weighted moving average.

The script then defines a second function called cwma that calculates a custom WMA by defining the weights for each value in the moving average as the length plus one divided by two minus the absolute value of the length minus the source data. It then uses the wma function to calculate and return the weighted moving average.

The script then specifies the input parameters for the cwma function: the source data (close) and the moving average length (length). It then plots the custom weighted moving average on the chart.