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fecon235

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
1,280 stars+1★ this week350 forksJupyter NotebookUpdated 1/20/2023100% free · open source
What it does

Fecon235 provides a Jupyter Notebook environment for analyzing and forecasting financial and economic data, including inflation, unemployment, and stock market trends, using libraries like pandas and data from sources like the Federal Reserve's FRED

When to use it
  • •When you need to analyze historical economic data to inform business decisions
  • •When you want to build predictive models of financial markets or economic indicators
  • •When you need to visualize and explore large economic datasets
Ready-to-paste prompt
Fetch the latest GDP data using `fredapi` and plot it against the S&P 500 index: `fred.get_series('GDP', observation_start='2020-01-01')` and `yf.download('SPY', start='2020-01-01')`
Heads up: You need to obtain a free API key from the Federal Reserve's FRED database and store it as an environment variable `FRED_API_KEY` to use the `fredapi` library
Saves to your device
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Claude Code
mkdir -p ~/.claude/skills/fecon235 && curl -fsSL https://workflowstacks.com/api/skills/fecon235/claude-skill -o ~/.claude/skills/fecon235/SKILL.md
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How fecon235 works
Codeflow
Free to inspect

Fecon235 is mostly documents (10 doc files, 20 small scripts) — something you read, not something you run. There is nothing to install. Last commit 46 months ago, Other license.

Size
Mostly documents
10 documents · 20 small scripts · 14 min skim
Setup
Nothing to install
A course / notebook collection. Read it; run cells if you like.
Runs on
Nowhere — you read it
A reading resource, not a program.
Jupyter Notebook 94%Python 6%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    lib/__init__.py
    Inside lib/ — the main logic begins here
What's in each folder
lib/Core code — the actual logic17 files
bin/Command-line entry points3 files
docs/Documentation6 files
nb/Folder35 files
tests/Tests — proof it works13 files
.github/CI / automation (GitHub Actions)4 files
READMEHas testsDocumentedOther licenseLast update 46 mo ago
Quick Actions
Details
Creator
rsvp
Language
Jupyter Notebook
Category
analytics
Published
11/9/2014

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