All language subtitles for 5. Use the technical analysis library to create a RSI indicator

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Original subtitles

Everyone and welcome in this new video in this video, I will show you how the Technical Analysis Library

rose to do it.

I will create the RSI indicator of our own Google stock price.

So there are a lot of indicators into this library.

So if you want to use another indicator, I agree.

I advise you to check the official documentation and put the link here.

So now we need to import that to a library.

So first, I have just in it.

As for wife finance here?

So then we need to create a object containing the error class to create or assign.

So we are going to use a model momentum.

And the class parasite indicator, so discuss demand as inputs to cross price and.

The window, so the value by default is 14, so we put 14 because we don't want to optimize this indicator

like in my previous courses, for example.

But in these courses, we just want to use the IRS's site as an input

and we put fill any equal force.

It means that if there is missing value, the library, we don't delete or put another value like average,

median, etc. well at this place.

So if a print an error say we can see that this is a T-A object.

So now we are going to create the RSI of the Google stock price with a window of 14 on the daily data

using this plus and the function error site.

And then we can display our work in 2010.

Like for the over India controls.

So it is very easy to create some indicators.

And I really insist that when you walk on a financial project, you need to create your own.

Metrics, because the most important thing when you walk on a trading project is the data.

So I would be really interested in this point because most student starts their courses and think that's

the most important thing is the model.

The more the model is complex, the more the result will be good.

It's really not right because to have this relation, you need to have very good data because with very

good data, even a very basic model like linear regression will be excellent.

So it's OK for these video.

And in the next video, we are going to create a function to watch my thighs this process.

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