LongOnly/Quantitative-Notebooks resource
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
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: 2894
- days_rel: n/a
- days_push: 2254
- n_releases_24m: 0
Adoption not part of the score
1393 stars · 215 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of educational Jupyter notebooks on quantitative finance, covering algorithmic trading strategies, pairs trading, and dynamic asset allocation. It is intended for idea generation and learning rather than production trading use.
Use cases
- learn quantitative finance with python notebooks
- understand pairs trading strategies
- example of machine learning for trading
- learn dynamic asset allocation and diversification
- educational algorithmic trading examples
- financial modelling tutorials in jupyter
When to choose
- you want educational, well-explained quant finance notebooks
- you are learning pairs trading or asset allocation concepts
- you want starter code combining pandas, scikit-learn, and market data
When to avoid
- you need production-ready trading strategies
- you need current market data (last updated July 2020)
- you want a maintained trading framework or backtesting engine
Facets
learning-resource · maturity maintenance
machine-learning data-science trading fintech data-science education python quantitative-finance algorithmic-trading jupyter-notebooks pairs-trading asset-allocation educational jupyter
1 source
- readme: https://github.com/LongOnly/Quantitative-Notebooks · fetched 2026-08-28 · 8d76f425b792
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| LongOnly/Quantitative-Notebooks | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="LongOnly/Quantitative-Notebooks")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem