Skip to main content
Matplotlib

Matplotlib

Computer programWikipedia

Search complete. 51 mentions across 34 episodes found for "Matplotlib".

Nov 11, 2026

Harrison KinsleyHOST
0:08
Hello and welcome to the 24th financial charting tutorial with Python and Matplotlib.
Harrison KinsleyHOST
0:13
Where we left off, we have this wonderful looking chart.
Harrison KinsleyHOST
0:17
We've got the RSI added, the MACD added.
Harrison KinsleyHOST
0:08
Hello and welcome to the 22nd financial plotting tutorial within Python and Matplotlib where we left off.
Harrison KinsleyHOST
0:14
We created a function for computing the exponential moving average.
Harrison KinsleyHOST
0:18
Now what we want to do is create a function for using the exponential moving average to compute the MACD.
Harrison KinsleyHOST
0:07
What is going on everybody? Welcome to the 21st financial plotting tutorial with Matplotlib and Python.
Harrison KinsleyHOST
0:14
Where we left off, we made the addition of the relative strength index to the top of our chart.
Harrison KinsleyHOST
0:19
A few things I would like to change about it, but I think the best thing for us to do is to go ahead and add, or at least start adding, the MACD indicator and then we'll change up the colors with RSI and the MACD all together at the same time.
Harrison KinsleyHOST
0:08
What is going on everybody? Welcome to the 20th financial charting tutorial with Python and Matplotlib.
Harrison KinsleyHOST
0:14
This is where we've left off.
Harrison KinsleyHOST
0:16
And so yeah, let's go ahead and get started and let's start editing this RSI chart a little bit more.
Harrison KinsleyHOST
0:08
What is up, everybody? Welcome to the 16th financial plotting tutorial with Python and Matplotlib.
Harrison KinsleyHOST
0:14
I am your host, Mr. CentDex, and let's get started.
Harrison KinsleyHOST
0:18
So where we left off, we got this... simple moving average a couple simple moving average lines going on the 26 and 12. we've decided that those need to be color changed line thickness changed wow that was some serious zoom and then also we noticed this little gap here in our volume just looks unprofessional so we're going to go ahead and fix that as well so let's go ahead and hop into that and get started so let's just scroll up to the top orient ourselves you know the deal So let's go down now that we've been oriented.
Harrison KinsleyHOST
0:08
Hello and welcome to another Matplotlib tutorial.
Harrison KinsleyHOST
0:11
In this tutorial we're going to be talking about how to smooth lines out.
Harrison KinsleyHOST
0:14
Now there's a few different ways to do it.
Harrison KinsleyHOST
0:08
Alright guys, welcome back.
Harrison KinsleyHOST
0:09
This is the, I don't know, 19th video, I think? Financial charting within Python and Matplotlib.
Harrison KinsleyHOST
0:15
What we did last time was actually define our RSI function.
Harrison KinsleyHOST
0:19
Not positive it's going to work just yet, but I think it will.
Harrison KinsleyHOST
1:53
It's like the way that you handle it is different on each operating system.
Harrison KinsleyHOST
1:56
I know Matplotlib will act the same way that I'm used to.
Harrison KinsleyHOST
1:59
So I'm going to use Matplotlib here.
Harrison KinsleyHOST
2:02
We're also going to...
Harrison KinsleyHOST
2:03
We probably...
Harrison KinsleyHOST
0:08
Hello everybody and welcome to the 17th financial charting tutorial with Python and Matplotlib.
Harrison KinsleyHOST
0:14
Where we left off we added this simple moving average or two simple moving average lines of 12 and 26.
Harrison KinsleyHOST
0:19
Probably in a little bit we'll change those to something more like 20 and 200 just because this is a very long term chart.
Harrison KinsleyHOST
0:09
What is going on everybody? Welcome to the 12th financial charting tutorial within Python and Matplotlib.
Harrison KinsleyHOST
0:17
Where we left off, I'll just bring up an example of the chart that we've got.
Harrison KinsleyHOST
0:22
We left off with a chart basically like this.

24 more episodes mention Matplotlib.

Create an account to see the whole feed, search across every transcript, and follow the entities you care about.

We value your privacy

We use cookies to understand how you use our platform and to improve your experience. Click “Accept All” to consent, or “Decline non-essential” to opt out of non-essential cookies. Read our Privacy Policy.