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Quant Lessons

A curriculum that builds from first principles to the primitives used in the trading project. Each lesson concludes with a concrete artifact: a metric, an instrument, or a specific piece of code in the repository.

The arc

  1. The measurable — returns, volatility, random walks. The units all strategy code speaks.
  2. Options, end-to-end — contracts, payoffs, the bridge from random walk to price.
  3. The Greeks — sensitivity, hedging, the feedback loop.
  4. The vol surface — implied vs realized, term structure, skew.
  5. Dealer positioning and regime — why regimes exist, what the gamma flip marks.
  6. Backtest discipline — metrics that don't lie, CV that respects time.
  7. ML for finance — why iid fails, and what to do instead.
  8. Flows and frictions — order flow, events, cross-asset signals.

Prerequisites

Calculus and basic probability. No options background assumed. No measure theory needed.

Lesson structure

Every lesson closes with a reference into the trading repository — "implemented at packages/..." — linking the concept to a concrete implementation. Begin with Lesson 1 →.