Quant Memo

Free & open, progress saved in your browser

Learn quant, properly.

A structured curriculum that takes you from the math up to the models real desks run. Not a glossary: each lesson is a proper treatment, with derivations, worked examples, failure modes, and references.

See the full roadmap →Browse all 127 concepts7 tracks · 127 concepts

The tracks, in order

They build on each other, so top to bottom is the intended path.

  1. 1

    Mathematical Foundations

    Foundational

    Probability, linear algebra, and optimization, the language everything else is written in.

    16/16
  2. 2

    Statistics & Econometrics

    Core

    Estimation, inference, regression, and time series, done rigorously, with the failure modes.

    20/20
  3. 3

    Portfolio Construction & Risk

    Core

    From Markowitz to risk parity, covariance estimation, Kelly sizing, and tail risk.

    26/26
  4. 4

    Derivatives & Volatility

    Advanced

    Stochastic calculus, Black-Scholes, the Greeks, and the volatility surface.

    18/18
  5. 5

    Systematic Strategies & Alpha

    Advanced

    Market efficiency, the factor zoo, signal construction, and stat-arb.

    16/16
  6. 6

    Backtesting & ML in Finance

    Advanced

    How backtests lie, and the validation discipline that separates signal from noise.

    14/14
  7. 7

    Market Microstructure & Execution

    Advanced

    Order books, adverse selection, market impact, and optimal execution.

    14/14

How to use this

Starting out? Go top to bottom, the tracks are ordered by dependency. Prepping for interviews? Pair the reading with the question bank and a prep roadmap. Here to build? Each concept links to the strategies that use it.