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Description

This study calculates and displays the Arms Ease of Movement Value (EMV) for the Price and Volume data, as well as a Moving Average of the EMV. It was developed by Richard W. Arms, Jr.

Let \(H\), \(L\), and \(V\) be random variables denoting the High Price, Low Price, and Volume, and let \(H_t\), \(L_t\), and \(V_t\) be their respective values at Index \(t\). Let \(k\) be the Volume Divisor Input. We then calculate the Midpoint Move and the Box Ratio as follows.

Midpoint Move:

Box Ratio:

The Ease of Movement is essentially a ratio of these two quantities. We denote the Arms Ease of Movement at Index \(t\) as \(EMV_t(k)\), and we compute it for the given Input as follows.

For \(t = 0\): \(EMV_0(k) = 0\)

For \(t > 0\):

Let \(n\) be the Length Input. We denote the Moving Average of the EMV as \(\overline{EMV}_t(k,n)\), and we compute it for \(t \geq n - 1\) for the given Inputs in terms of a Simple Moving Average as follows.

Note: Depending on the setting of the Moving Average Type Input, the Simple Moving Average in the above formula could be replaced with an Exponential Moving Average, a Linear Regression Moving Average, a Weighted Moving Average, a Wilders Moving Average, a Simple Moving Average - Skip Zeros, or a Smoothed Moving Average.