# How to do a SMA in Python

• 1 min**SMAs **are by far the **most famous technical indicators** used in financial analysis.

Here is a **simple example **of how to compute it in Python using the Pandas library.

# We get our data

In order to compute the SMA we first need to get a financial dataset.

Here we take APPLE stock price data from yahoo finance using the **yfinance **library.

# We compute the SMA

Using the **Close prices** we got back from the **yfinance **download method we compute the a **10 days close price SMA** using the pandas **.rolling() **method.

The rolling method here is used to get the past 10 days close prices and the **mean **method is used to compute the **average of those prices.**

In the end we have the** 10 days close price SMA !**

# Plotting the SMA

In order to see if we did a good job of computing the SMA on the Close prices, we use the .**plot()** method to see the results.