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Practical Python for Algorithmic Trading Robots

2 Days

·

Cohort-based Course

Turn your investment strategies into scalable Python algorithms that automate your research, backtest, and deployment.

Hosted by

Jesús López

LinkedIn Learning Instructor: Practical Python for Algorithmic Trading

Course overview

Deploy the execution of your code automatically

From programming the code locally on your computer to deploying it automatically using CI/CD techniques.


Interaction with APIs.


Investment strategies.


Backtest how good investment strategies are.


Dockerization of Python scripts for deployment.


Creation of remote servers to run code in real-time.


Private API to share access.


Everything is explained step by step from blank files of code.


Plus, you'll learn how to market access to APIs.


Disclaimer: no financial advice is given; algorithmic trading is an excellent practical case for the technical skills covered in this course.

Becoming a freelance Python developer

01

Add end-to-end projects to your portfolio to showcase the value of your skills to win new contracts.

02

Program clean and scalable Python code from minute one to avoid repetition; you'll prepare scripts and notebooks to be run on autopilot.

03

Prepare your scripts for selling through an API. You'll also get an overview of how to market them through RapidAPI.

04

Avoid copy-pasting-executing code and practice programming with a methodology that pushes you to be creative on new problems.

Outcomes

Algorithmic trading strategies

Develop, test, and optimize algorithmic trading strategies. Learn to use data for informed trading decisions and implement real-world scenarios.

Dockerized applications

Learn to create, manage, and deploy Docker containers for portable, scalable, and efficient applications.

Running code on remote servers continuously

Deploy and manage code on remote servers with CI/CD pipelines, ensuring smooth, continuous production operations.

API ready to be shared through an URL

Develop and deploy robust, scalable APIs accessible via URL, ready for consumption by clients or other applications.

Making money with algorithmic trading strategies

Monetize your trading strategies by developing, deploying, and marketing them through APIs on platforms like RapidAPI.

What’s included

Jesús López

Live sessions

Learn directly from Jesús López in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Week 1

Jul 25—Jul 27

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