Quant Methods
Ten weeks in Python. You leave with a strategy package a CIO would actually read.
You leave with
Working Strategy Package
A reproducible GitHub repository, a research notebook that runs end to end, and a CIO memo that states the case in two pages.
- 01GitHub repository — runs from a clean clone
- 02Research notebook — every figure reproducible
- 03CIO memo — two pages, no hedging
Next cohort starts 14 Sept 2026 · enrolment closes 10 Sept 2026 · 13 of 30 seats left
Quant Methods — what's inside
Course preview — coming soon
Who it is for
Three people this was built for.
If none of these is you, the free lesson will tell you faster than we can.
Take the free lessonDevelopers who can write Python but have never validated a signal
Quant-adjacent analysts who want a defensible research process
Graduates of Quant Foundations ready to implement the framework
By the end you can
- Build a backtest that does not lie to you
- Kill your own strategy before the market does
- Size positions from a risk model, not a hunch
- Ship research that another person can reproduce
Curriculum
All 10 weeks, in the open.
Nothing here is a surprise after you pay. Expand any week to see exactly which lessons, files and assignments it contains.
- Lecture 1 — Reproducibility as a first-class constraintFree44 min
- Slides — week 1Free3.1 MB
- demo_01_environment.ipynbFree410 KB
- lab_01_environment.ipynb96 KB
- Course repository & PR workflowReading
- Assignment 1 — submit as pull requestAssignment
demo → lab, in that order
The demo notebook is complete, commented code you read and run. The lab notebook is the same task with the interesting parts replaced by TODO stubs. You write those.
Data and reproducibility
Python 3.11+, pinned requirements.txt, daily data via yfinance on liquid US ETFs, and a parquet cache in the course repo so a network outage never blocks a lab. SEED=42, always.
Tiers
Same lectures. Different amount of us.
Tiers do not gate content. They differ by review, support and rhythm — the parts that need a human and a calendar.
Self-Paced
All unlockedEverything unlocks at purchase. You set the rhythm.
Apple Pay · Google Pay · card
- All video lectures & PDF slides
- All notebooks, templates and artifacts
- Course community access group
- Lifetime access to materials
- Peer review
- Instructor support
- Checkpoint defenses
- Certificate
Cohort
Calendar dripYou move with a group. Weeks unlock on the calendar.
or 3 × $166.83 — Klarna / Afterpay
Next cohort 14 Sept 2026 · 13 seats left
- Everything in Self-Paced
- Structured peer review against a rubric
- Async instructor support in community
- Checkpoint defenses (live, Google Meet)
- Certificate on completion + final defense
Premium
Calendar dripCohort plus direct, scheduled time with the instructor.
or 3 × $233.50 — Klarna / Afterpay
Next cohort 14 Sept 2026 · 13 seats left
- Everything in Cohort
- 2 × 1:1 sessions with the instructor
- Line-by-line review of your final artifact
- Priority response window (1 business day)
- Career / portfolio positioning review
Taking Quant Foundations too? The two-course bundle is 20% off — from $359.
See the bundleIf you pick Cohort
Here is the actual calendar.
Methods · Cohort 26-D opens on 14 Sept 2026. One module unlocks per week, on the same date for everyone, which is what makes peer review work.
Enrolment closes 10 Sept 2026 so the group starts together.
“Unfinished is fine. Undefended is not.”
— from the defense rubric, week 1
Quant Methods FAQ
Before you enrol.
A GitHub repository that runs from a clean clone, a research notebook that reproduces every figure, and a two-page CIO memo. Together that is the Working Strategy Package.