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Quantitative Analyst Training

Quantitative Analyst Training
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This training offers a straightforward guide to creating clear trading signals, preparing market data properly, and conducting solid backtests that account for real costs. You will master portfolio building, position sizing, risk management, stress testing, and reporting methods to produce reliable strategies and present findings effectively to key stakeholders.

Elevify advantages

Develop skills

  • Design strong trading signals by creating, adjusting, and merging price factors.
  • Conduct reliable backtests by matching data, including costs, and assessing Sharpe ratios and drawdowns.
  • Build efficient portfolios using ranking-to-weight methods, sizing rules, and effective risk controls.
  • Carry out validation checks to prevent overfitting through walk-forward testing and bootstrapping.
  • Present quantitative concepts clearly in reports for portfolio managers and risk teams.

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 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 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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