rsvp/fecon235 resource
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics 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: 4315
- days_rel: n/a
- days_push: 1321
- n_releases_24m: 0
Adoption not part of the score
1275 stars · 349 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Jupyter notebooks for financial economics research, providing high-level Python interfaces to economic data sources like FRED, Quandl, and pandas_datareader. It integrates numpy, pandas, statsmodels, and matplotlib for econometrics, time-series analysis, and portfolio analysis, with reusable modules refactored into the companion fecon236 repository.
Use cases
- retrieve and analyze Federal Reserve FRED economic data in Python
- forecast inflation, GDP, or interest rates with time-series models
- analyze equity, bond, FX, and gold price data in Jupyter notebooks
- run econometric analysis on macroeconomic time series
- build reproducible financial economics research notebooks
- resample and align financial time series from incompatible data sources
- learn quantitative economics with Python examples
When to choose
- you want ready-made Jupyter notebooks for macro and financial data analysis
- you need free access to FRED and other economic data with simple get/plot commands
- you are teaching or learning econometrics and quantitative finance in Python
When to avoid
- you need a maintained production library - active development moved to fecon236
- you need structured, tested application code rather than research notebooks
- you require commercial data sources or non-Python environments
Facets
learning-resource · maturity maintenance
data-science data-visualization etl math sdk data-science fintech analytics time-series tutorials python jvm windows cross-platform jupyter-notebooks econometrics fred-data financial-economics time-series-forecasting quantitative-finance pandas reproducible-research economics linux macos docker
2 sources
- readme: https://github.com/rsvp/fecon235 · fetched 2026-08-28 · 02658e2730af
- homepage: https://git.io/econ · fetched 2026-08-29 · 48641a88f436
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| rsvp/fecon235 | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem