Quant Engineering · 100 days

Become aquant engineer.

A 100-day bootcamp in 23 modules: markets, Python, options, risk, machine learning, trading systems, GPUs and interviews. Each day you build part of a real project, and each module ends with one you can show.

Spread = ask − bidΔ = ∂V/∂SDay 1 → 100
Days
100
Modules
23
Days available
7
Go deeper lessons
20

Your 100 days

Each square is a day, in rows by level. It fills a third for each session you finish.

Days done
0/100
Sessions done
0/300

Beginner

Intermediate

Intermediate+

Advanced

Professional

Days you studied

Every date you finished a session or opened a day, over the last year.

Days studied
0
Weekly streak
0 weeks

Your pace

The hours a week you can give the course. A day takes about 6 hours, in three sessions.

20 hours a week · 10 sessions a week

Finish around 6 May 2027

Finish a session to start your plan.

The course

Day 1: Your first stock quotes

Take the days in order. Each one builds on the one before, and every module ends with a project.

Module 1 · Day 1 · About 6 hours, in three sessions

  1. 01Set up your machine, and your first quote
  2. 02A watchlist of stocks and ETFs
  3. 03Git: save your work, and go back to it
Start the day

All modules

Beginner

  1. 01Markets, Python and your portfolio siteDays 1 to 7Available
  2. 02The maths of moneyDays 8 to 128 Go deeper lessons
  3. 03Options and the GreeksDays 13 to 17Coming soon

Intermediate

  1. 04How machines learnDays 18 to 2211 Go deeper lessons
  2. 05Portfolios, backtests and paper tradingDays 23 to 27Coming soon
  3. 06Bonds, rates and credit riskDays 28 to 31Coming soon
  4. 07Neural networksDays 32 to 36Coming soon

Intermediate+

  1. 08C++ and computer systemsDays 37 to 41Coming soon
  2. 09Language models from scratchDays 42 to 46Coming soon
  3. 10Reinforcement learningDays 47 to 50Coming soon

Advanced

  1. 11Modern LLMsDays 51 to 54Coming soon
  2. 12AI engineeringDays 55 to 58Coming soon
  3. 13CUDA C++ and GPU programmingDays 59 to 63Coming soon
  4. 14Inference and servingDays 64 to 67Coming soon
  5. 15ML systems and MLOpsDays 68 to 71Coming soon

Professional

  1. 16Distributed systemsDays 72 to 74Coming soon
  2. 17ML compilersDays 75 to 77Coming soon
  3. 18Recommendation systems and graph networksDays 78 to 80Coming soon
  4. 19Vision, speech and image generationDays 81 to 83Coming soon
  5. 20Robot learningDays 84 to 86Coming soon
  6. 21System designDays 87 to 89Coming soon
  7. 22Forward-deployed engineeringDays 90 to 92Coming soon
  8. ProjectYour own portfolio projectDays 93 to 96Coming soon
  9. 23Interview sprintDays 97 to 100Coming soon

For education only. Not investment advice. Terms of Use