Combine strategies into portfolios and analyze their risk with allocation methods, risk decomposition, drawdown analysis, stress testing and risk reporting in Python.
Duration8 weeks
LevelAdvanced
Modules8
Lessons32
Single strategies rarely operate alone, and portfolio-level decisions often matter as much as individual signals. This course covers how to allocate across strategies and assets, estimate and decompose risk, analyze drawdowns and tail behavior, and run scenario and stress tests. You will build a Python risk analytics toolkit and a reporting dashboard that make portfolio risk visible and explainable.
8 modules · 32 lessons · 8 weeks. Curriculum preview; the final syllabus may change before enrollment opens.
Build a multi-strategy allocation engine with risk parity and volatility targeting
Create a risk decomposition toolkit that attributes risk to strategies and factors
Deliver a portfolio risk dashboard with stress scenarios and drawdown analysis
Quantzivo certificates are completion credentials issued by Quantzivo, not accredited qualifications. Courses teach technical and research skills; they do not promise investment returns or provide investment advice.
5 weeks5 modulesAnalyze multi-asset portfolios across global markets with return attribution, risk decomposition, currency effects and optimization methods, all in Python.
10 weeks10 modulesBuild professional portfolio models covering covariance estimation, robust optimization, risk budgeting, transaction costs and stress testing, implemented as tested Python code.
7 weeks7 modulesApply rigorous validation methods to trading strategies: walk-forward and cross-validation, overfitting diagnostics, multiple testing control and robust parameter optimization.
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