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Algo Trading Course

Algo Trading Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

You will learn how to design and code complete trading systems in Python, covering data ingestion, indicator construction, backtesting, and live order execution. The course walks you through building a backtesting engine from scratch, applying machine learning models for signal generation, and implementing professional-grade risk controls including position sizing and drawdown limits. You will also explore quantitative strategy development, statistical arbitrage, and alternative data sources such as NLP-based sentiment signals. By the end, you will know how to deploy a strategy to live markets, monitor its performance in real time, and maintain a structured research pipeline for continuous improvement.

Elevify advantages

Develop skills

  • Backtesting Engine Development: Build a custom event-driven backtester with realistic slippage and cost simulation.
  • Signal Generation and Filtering: Construct and combine technical indicators into robust, rule-based trading signals.
  • Live System Deployment: Connect a fully coded strategy to broker APIs and monitor it in production.
  • Quantitative Risk Management: Implement Kelly sizing, drawdown circuit breakers, and portfolio-level risk controls.

Suggested summary

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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