# Technical Studies Reference

### Moving Average - Weight Volume Move-Adjusted

This study calculates and displays a Weight Volume Move-Adjusted Moving Average of the data specified by the Input Data Input. This moving average is taken from an article entitled "Weight + Volume + Move-Adjusted Moving Average: It's WEVOMO!" by Stephan Bisse in the April 2005 issue of Stocks & Commodities.

Let $$X$$ be a random variable denoting the Input Data, and let the Input Length be denoted as $$n$$. Then we denote the Moving Average - Weight Volume Move-Adjusted at Index $$t$$ for the given Inputs as $$WEVOMO_t(X,n)$$.

We compute $$WEVOMO_t(X,n)$$ for $$t \geq n -1$$ in terms of the Move-Adjusted Moving Average, the Volume-Weighted Moving Average, and the Weighted Moving Average. The Volume-Weighted Moving Average is denoted as $$VWMA_t(X,n)$$ by Sierra Chart, but the aforementioned article denotes it as $$VOMO_t(X,n)$$. The two moving averages are the same.

$$\displaystyle{WEVOMO_t(X,n) = \frac{MOMA_t(X,n) + VOMO_t(X,n) + WMA_t(X,n)}{3}}$$