US Treasury Cash Balance & Reverse Repo
The daily Treasury General Account (TGA) closing balance and the Fed's overnight Reverse Repo (RRP) accepted volume, in $ billions, 2018-present - the two biggest swings in US dollar liquidity, served as one clean aligned daily Parquet.
- Source
- U.S. Treasury
- Licence
- Redistributable open data
- Updates
- Daily
- Data through
- 2026-07-31
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- Daily TGA closing balance + Reverse Repo accepted volume, $ bn, 2018-present
- series = Treasury General Account / Reverse Repo; one row per series × day
- TGA from the Daily Treasury Statement; RRP from the NY Fed Markets API
- Source: U.S. Treasury & Federal Reserve Bank of New York (public domain)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Always US | 100.0% | 1 |
| ts | timestamp (UTC) | Trading day | 100.0% | 2,147 |
| series | str | Treasury General Account / Reverse Repo | 100.0% | 2 |
| usd_bn | float | Balance / accepted volume, $ billions | 100.0% | 2,995 |
| unit | str | Unit | 100.0% | 1 |
| res_min | int | Native resolution (daily = 1440) | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: U.S. Treasury (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-treasury-cash-and-repo_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 1 zones
US
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