Interactive exam-prep notes for a Quantitative Modelling / High-Frequency Trading course: ten focused modules, two full mock exams with live grading, and a numerical formula sheet — built from the course slides and the official exam blueprint.
▶ Live site: https://bug-finderr.github.io/quant-notes/
10 study modules (notes/) — each with LaTeX equations, Mermaid diagrams and worked numerical examples:
| # | Module | Exam theme |
|---|---|---|
| 1 | Intro to Quant Research & Workflow | Research workflow |
| 2 | Market Microstructure & OHLCV Data | Markets & data |
| 3 | Financial Time Series | Analysis fundamentals (numeric core) |
| 4 | Alpha Signals & Quant Research | Alpha signals |
| 5 | Backtesting Systems & Biases | Quant evaluation |
| 6 | Statistical Arbitrage & Pairs Trading | Alpha (advanced) |
| 7 | Portfolio Construction & Risk | Risk & evaluation |
| 8 | Machine Learning for Trading | Features & validation |
| 9 | Quant Infrastructure & KDB+/q | Data infrastructure |
| 10 | Strategy Robustness & Validation | Quant evaluation |
2 mock exams (practice/) — 65 questions each, graded live with worked solutions, matching the real blueprint: Part A (30 × 1), Part B (15 × 2), Part C (20 × 2 numerical) = 100 marks, 120 minutes.
- 📐 LaTeX equations via KaTeX
- 📊 Diagrams via Mermaid (no static images)
- 🌗 Light / dark theme with persistence
- 🧮 Self-grading practice tests with instant scoring
- 📱 Responsive, and works fully offline (open
index.htmldirectly)
Just open index.html in a browser — no build step or server required. (Scripts load as classic scripts so it works over file:// too.)
index.html Landing page
index.md Topic index (mapped to the exam blueprint)
assets/ Shared design system: styles.css, page.js, quiz.js, favicon.svg
notes/ 10 module pages
practice/ 2 mock exams
Educational study material derived from course lectures. KaTeX and Mermaid loaded from jsDelivr CDN.