**The analysis of historical financial market data can reveal interesting patterns and insights. This information can help to build a strong portfolio.**

![Mastering the Capital Asset Pricing Model Using Python](../../assets/img/blog/2025-05-30-mastering-the-capital-asset-pricing-model-using-python/header_img.webp)

When creating a portfolio, two key variables play a significant role: diversification and the risk-return ratio.

The diversification of a portfolio can be easily implemented by adding different assets from various sectors. However, many retail investors overlook the evaluation of the risk-return ratio.

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In this guide, we will explain how to apply and use the Capital Asset Pricing Model (CAPM). The CAPM is a theoretical model used to analyze the risk and return of securities. The model’s goal is to determine expected returns based on the risk involved.

We will discuss the following points:

* **Introduction to the Capital Asset Pricing Model**
* **Difference between systematic and unsystematic risk**
* **CAPM Calculation with a simple example**
* **Advantages and disadvantages of the CAPM**
* **Example with Python**
  * Technical requirements
  * Download stock market data with OpenBB
  * Exploratory analysis
  * Application of the CAPM
* **Conclusion**

The [full article](https://steady.page/en/tinztwins-hub/posts/96c185af-b3be-423b-89c0-21193b8c7ee9) is available in our members-only area.
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