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Python for Trading Course

Python for Trading Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course equips you with skills to convert trading rules into robust, tested strategies using authentic US stock and ETF data. You will develop a Python backtesting framework, incorporate transaction costs, assess drawdowns along with Sharpe and Sortino ratios, and scrutinise trade performance. Gain expertise in preventing overfitting, recording assumptions, generating professional visualisations, and producing succinct, reproducible reports suitable for rigorous evaluation.

Elevify advantages

Develop skills

  • Python backtesting expertise: construct, execute, and troubleshoot rule-driven equity strategies swiftly.
  • Market data handling: purify US stock and ETF datasets while mitigating survivorship and selection biases.
  • Risk and performance analysis: calculate Sharpe ratios, drawdowns, and detailed trade statistics using Python.
  • Strategy formulation: convert trading concepts into exact entry, exit, and position sizing guidelines.
  • Professional documentation: produce insightful charts and comprehensive reports for investment committee reviews.

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

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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