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Python Trading Course

What will I learn?

Unlock the power of algorithmic trading with our Python Trading Course, designed for technology professionals who want to do well for themselves inside the financial markets. Go deep into trading strategy concepts, learn how to manage risk properly, and explore different kinds of trading strategies. Use Python to analyze data with Pandas and Matplotlib, and learn how to test trading strategies using past data. Gain skills in collecting data, managing it, and analyzing how well it's doing. Improve your skills by writing and making trading algorithms better so they can give you correct buy and sell signals.

Apoia's Unique Features

Online course accessible for life
Certificate compliant with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, without needing internet access

Develop skills

Strengthen the development of the practical skills listed below

Learn how to manage risk properly: Use ways to reduce trading losses as much as possible.

Analyze data with Pandas: Change and view data to get useful information.

Test trading strategies using past data: Check how well strategies would have worked in the past.

Make trading algorithms better: Improve how well the code works and how fast it runs.

Create trading signals: Develop algorithms that tell you when to buy and sell.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.