Auquan/Tutorials resource
Ipython notebooks for math and finance tutorials observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3511
- days_rel: n/a
- days_push: 2223
- n_releases_24m: 0
Adoption not part of the score
1134 stars · 578 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of IPython/Jupyter notebooks teaching quantitative trading strategies and the underlying math, including time series analysis, mean reversion, momentum, and pairs trading. It is educational material meant to be run locally with the Auquan toolbox.
Use cases
- learn quantitative trading strategies with python notebooks
- understand mean reversion and momentum trading basics
- learn time series analysis ARIMA GARCH with examples
- study pairs trading and cointegration
- learn statistics for finance random variables covariance
- avoid overfitting when backtesting trading models
When to choose
- you want hands-on Jupyter notebook tutorials for quant trading and financial math
- you are learning time series analysis with practical examples
- you use the Auquan toolbox ecosystem
When to avoid
- you need production trading software or a maintained library
- you require an actively updated resource - last release was 2020
- you need a license permitting redistribution
Facets
learning-resource · maturity maintenance
data-science trading math tutorials fintech mathematics data-science python cross-platform jupyter-notebooks quantitative-finance time-series-analysis trading-strategies education
1 source
- readme: https://github.com/Auquan/Tutorials · fetched 2026-08-28 · 90c89206c66f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Auquan/Tutorials | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Auquan/Tutorials")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem