Python for Trading Course
Gain expertise in Python for Trading to transform investment concepts into validated, rule-driven strategies. Master data preparation, backtesting frameworks, risk assessment, performance metrics, and professional reporting to confidently appraise strategies for equities, ETFs, and stocks with precision and reliability.

from 4 to 360h flexible workload
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. Build a Python backtesting engine, account for transaction costs, assess drawdowns, Sharpe and Sortino ratios, and scrutinise trade performance. Master techniques to prevent overfitting, record assumptions, produce polished visualisations, and compile succinct, reproducible reports suitable for rigorous evaluation.
Elevify advantages
Develop skills
- Python backtesting: construct, execute, and troubleshoot rule-driven equity strategies swiftly.
- Market data preparation: cleanse 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 protocols.
- Professional reporting: generate insightful charts and comprehensive summaries for investment evaluations.
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.What our students say
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