Original subtitles

I am Arun and welcome in this new minute.

In this video, we're all going to compute the moving standard deviation.

So it is a very complex name, I think, to a very easy thing because the standard deviation of the

variation process is just the volatility.

So we're all going to compute the moving volatility of Google stock price.

So first, we need to compute the returns to have the valuation of the assets.

So we're going to use the cruise column and we apply the percentage change.

Function from front us, and we specify that we want to compute the percentage change with an interval

on one row, so.

Here we are not going to put a shift because we are going to compute the moving volatility and then

we are going to put a shift on this metric because if you want to use the returns as inputs, you need

also to put a shift after this line.

So to compute the moving standard deviation.

We are going to take exactly the same code as before.

So.

We just need to put the return inside of the absolute process and to change the function mean ensure

Stormont aviation function, then we are going to print all this value to a better understanding.

As we can see, when the volatility of the asset is very high, for example, here the moving standard

deviation, so the moving volatility increases.

So it will be a very interesting feature for our future algorithm.

So it's all part of this video in this next video, we are going to talk about the technical analysis

library.