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Algorithmic Trading Course

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

What will I learn?

This Algorithmic Trading Course teaches you how to transform clear trading ideas into strong, rules-based strategies for liquid US equities and ETFs. You will learn to set precise entry and exit rules, create and merge technical signals, obtain and prepare market data, and conduct realistic backtests that include costs and biases. Additionally, you will explore risk management, execution methods, and a practical setup for live trading.

Elevify advantages

Develop skills

  • Strategy design: Convert market ideas into exact, testable trading rules.
  • Signal engineering: Develop and integrate strong technical indicators for equities.
  • Backtesting mastery: Perform realistic tests accounting for costs, slippage, and biases.
  • Risk and sizing: Implement professional position sizing, drawdown limits, and stop-losses.
  • Execution tactics: Select order types and timings to minimise market impact and slippage.

Suggested summary

Before starting, you can change the chapters and 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 lessons 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 thank you 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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