Complete an end-to-end quantitative research project on historical data, from hypothesis and backtest to robustness testing, peer review and a reproducible write-up.
Duration12 weeks
LevelAdvanced
Modules12
Lessons48
This capstone program brings research methods together in one supervised project. You will formulate a testable question, prepare point-in-time historical data, build and backtest a signal, then stress it with walk-forward, sensitivity and multiple-testing checks. The program ends with peer review, an honest written report of results and limitations, and a reproducible repository that another researcher can rerun.
12 modules · 48 lessons · 12 weeks. Curriculum preview; the final syllabus may change before enrollment opens.
Complete an end-to-end research study from hypothesis to documented backtest on historical data
Produce a robustness report covering walk-forward, sensitivity and multiple-testing adjustments
Publish a reproducible research repository with data lineage, code and a written paper
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.
10 weeks10 modulesPractice quant research the way professional teams structure it: rigorous hypotheses, point-in-time data, factor-aware testing, validation, peer review and decision memos.
7 weeks7 modulesApply rigorous validation methods to trading strategies: walk-forward and cross-validation, overfitting diagnostics, multiple testing control and robust parameter optimization.
8 weeks8 modulesResearch, construct and evaluate factor models using cross-sectional regressions, portfolio sorts and risk attribution, with careful handling of biases and multiple testing.
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