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I am Arun and welcome in this new minute.
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In this video, we're all going to compute the moving standard deviation.
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So it is a very complex name, I think, to a very easy thing because the standard deviation of the
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variation process is just the volatility.
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So we're all going to compute the moving volatility of Google stock price.
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So first, we need to compute the returns to have the valuation of the assets.
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So we're going to use the cruise column and we apply the percentage change.
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Function from front us, and we specify that we want to compute the percentage change with an interval
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on one row, so.
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Here we are not going to put a shift because we are going to compute the moving volatility and then
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we are going to put a shift on this metric because if you want to use the returns as inputs, you need
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also to put a shift after this line.
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So to compute the moving standard deviation.
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We are going to take exactly the same code as before.
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So.
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We just need to put the return inside of the absolute process and to change the function mean ensure
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Stormont aviation function, then we are going to print all this value to a better understanding.
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As we can see, when the volatility of the asset is very high, for example, here the moving standard
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deviation, so the moving volatility increases.
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So it will be a very interesting feature for our future algorithm.
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So it's all part of this video in this next video, we are going to talk about the technical analysis
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library.
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