romanmichaelpaolucci/Quant-Guild-Library resource
A library of Jupyter notebooks and corresponding YouTube lectures by Roman Paolucci observed · 2026-08-28
Health v2 · maintenance only
64/100
- Activity 96
- Release rhythm 35
- Longevity 42
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 592
- days_rel: n/a
- days_push: 27
- n_releases_24m: 0
Adoption not part of the score
1404 stars · 330 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated library of Jupyter notebooks paired with YouTube video lectures on quantitative finance by Roman Paolucci. Topics span stochastic calculus, options pricing, trading strategies, portfolio management, and AI in finance.
Use cases
- learn quantitative finance from scratch
- understand how to derive the Black-Scholes equation
- build an AI stock trading bot with Interactive Brokers
- learn to backtest trading strategies in Python
- study stochastic calculus and Brownian motion
- learn portfolio management and risk metrics like alpha, beta, and Sharpe ratio
- find projects to become a quant
When to choose
- you want free, notebook-based lessons paired with video lectures on quant finance
- you are learning Python for trading, options pricing, or portfolio analytics
- you prefer a topic-by-topic curriculum from beginner to advanced quant skills
When to avoid
- you need production-ready trading software or a maintained code library
- you require a licensed, dependency-managed package for a project
- you want a single cohesive codebase rather than standalone educational notebooks
Facets
learning-resource · maturity active
data-science trading math machine-learning fintech education tutorials data-science mathematics python cross-platform quantitative-finance jupyter-notebooks video-lectures options-pricing stochastic-calculus algorithmic-trading trading-strategies black-scholes portfolio-management
1 source
- readme: https://github.com/romanmichaelpaolucci/Quant-Guild-Library · fetched 2026-08-28 · 4e90c05db77d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| romanmichaelpaolucci/Quant-Guild-Library | main | 64 |
For agents
markdown · JSON · MCP: product_card(name="romanmichaelpaolucci/Quant-Guild-Library")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem