README.md

---
# LATEST: https://huggingface.co/datasets/CyberMax-tools/curvewire-us-macro-panel/blob/main/latest.json (data date, refresh cadence, fresh API, licence links; also LATEST.md)
# API (fresh data): https://data.cybermaxtools.com/buy/curvewire-brief?s=hf-file-curvewire-us-macro-panel
# Licence: cc0-1.0 (open, unchanged); commercial licence + support: https://data.cybermaxtools.com/buy/dataset-license?s=hf-file-curvewire-us-macro-panel
license: cc0-1.0
pretty_name: 'Curvewire: US Treasury yield curve + BLS macro panel (official sources)'
language:
- en
tags:
- finance
- economics
- macroeconomics
- interest-rates
- yield-curve
- treasury
- inflation
- cpi
- jobs
- unemployment
- bls
- time-series
- tabular
- cybermax
task_categories:
- time-series-forecasting
- tabular-regression
size_categories:
- 10K<n<100K
configs:
- config_name: treasury_yields
  default: true
  data_files:
  - split: train
    path: data/treasury_yields.parquet
- config_name: treasury_real_yields
  data_files:
  - split: train
    path: data/treasury_real_yields.parquet
- config_name: bls_monthly
  data_files:
  - split: train
    path: data/bls_monthly.parquet
---

# Curvewire: US Treasury yield curve + BLS macro panel

<!-- cybermax-bridge:start -->
> **Every Monday: the rates and macro brief built from this data (PDF + CSVs), $19/month, cancel any time.** **[Buy now →](https://data.cybermaxtools.com/buy/curvewire-brief?s=hf-curvewire-us-macro-panel-top)** · Delivered instantly after checkout · no subscription · [14-day refund](https://cybermaxtools.com/terms#payments) if it doesn't work as described · help: cybermax.tools@gmail.com
> 
> **Need it fresh, filtered or via API?** This free file is a snapshot (US macro series up to the last refresh), last updated **2026-09-24**.
> - **[US Rates & Macro Brief: Weekly Edition (yearly)](https://data.cybermaxtools.com/buy/curvewire-brief-yearly?s=hf-curvewire-us-macro-panel)** ($190/year): the same Monday rates & macro brief for a year, two months free.
> - **[All Three Monday Briefs: Rates, Recalls + Exploited Vulns](https://data.cybermaxtools.com/buy/monday-briefs-3?s=hf-curvewire-us-macro-panel)** ($25/month): all three weekly briefs (Treasury/BLS rates & macro, NHTSA recalls, CISA KEV/EPSS) for $25/month instead of $37.
> - Using it at work? **[Commercial license + support](https://data.cybermaxtools.com/buy/dataset-license?s=hf-curvewire-us-macro-panel)** (from $49/year): invoice, PDF licence certificate, named support, freshness and availability commitments and an SLA; the data stays free and open for everyone.
> - **[Get an email when this dataset updates](https://data.cybermaxtools.com/notify?ds=curvewire-us-macro-panel&s=hf-curvewire-us-macro-panel)**: free, double opt-in, unsubscribe any time.
> - **[CyberMax Store](https://cybermaxtools.com/store/?utm_source=huggingface&utm_medium=dataset&utm_campaign=curvewire-us-macro-panel)**: every CyberMax data product, API plan and weekly brief in one place.
> 
> *Information only, not investment advice.*
<!-- cybermax-bridge:end -->

<!-- cm:banner -->
![Curvewire: The US yield curve and CPI, ready to load](https://cybermax-tools-cybermax.static.hf.space/brand/curvewire/banner.png)
<!-- /cm:banner -->

The US numbers macro models, trading bots and LLM agents ask for most, taken **straight from the agencies that publish them** (US Treasury and the Bureau of Labor Statistics), not scraped from redistributors, and cleaned into three tidy tables:

| config | rows | what |
|---|---|---|
| `treasury_yields` (default) | 9,189 | Daily par yield curve, 1 month to 30 years, 1990-01-02 → 2026-09-23, with 10y–2y and 10y–3m spreads |
| `treasury_real_yields` | 5,936 | Daily real (TIPS) par yield curve, 5 to 30 years, 2003-01-02 → 2026-09-23 |
| `bls_monthly` | 7,514 | 15 headline monthly series in long format, with 1-month and 12-month changes |

Latest readings in this build (see `meta.json`): 10-year yield **5.11%**, 2-year 4.85% (10y–2y spread +0.26 pt), 3-month 4.19%; August 2026 CPI **+3.35%** year on year (core +2.45%), unemployment rate **4.1%**, payrolls +162k on the month; JOLTS job openings 7.27 million (July).

<!-- cm:gallery -->
![Curvewire: product image 1](https://cybermax-tools-cybermax.static.hf.space/brand/curvewire/image-1-output.png)
![Curvewire: product image 2](https://cybermax-tools-cybermax.static.hf.space/brand/curvewire/image-2-inside.png)
![Curvewire: product image 3](https://cybermax-tools-cybermax.static.hf.space/brand/curvewire/image-3-savings.png)
<!-- /cm:gallery -->

## BLS series included

| series_id | series | units |
|---|---|---|
| CUSR0000SA0 / CUUR0000SA0 | CPI-U, all items (seasonally adjusted / not) | index 1982-84=100 |
| CUSR0000SA0L1E | Core CPI (less food and energy) | index |
| CUSR0000SAF1, CUSR0000SA0E, CUSR0000SAH1 | CPI food, energy, shelter | index |
| CES0000000001 | Total nonfarm payrolls | thousands |
| CES0500000003, CES0500000002 | Average hourly earnings, average weekly hours (private) | USD, hours |
| LNS14000000, LNS11300000, LNS12300000 | Unemployment rate, participation rate, employment-population ratio | percent |
| JTS000000000000000JOL, JTS000000000000000QUR | JOLTS job openings, quits rate | thousands, percent |
| WPSFD4 | PPI final demand | index |

`bls_monthly` columns: `series_id`, `series_name`, `units`, `seasonally_adjusted`, `date` (first day of the month), `value`, `footnote_codes` (BLS codes, e.g. `P` = preliminary), `change_1m`, `pct_change_1m`, `pct_change_12m` (null for series already in percent), `change_12m`.

`treasury_yields` columns: `date`, `y_1m`, `y_6w` (1.5-month bill, from 2025), `y_2m`, `y_3m`, `y_4m`, `y_6m`, `y_1y`, `y_2y`, `y_3y`, `y_5y`, `y_7y`, `y_10y`, `y_20y`, `y_30y` (percent), `spread_10y_2y`, `spread_10y_3m` (percentage points). Maturities Treasury didn't publish on a date (e.g. 20-year before 1993, 30-year in 2002–2006) are `null`.

## Use it

```python
from datasets import load_dataset
curve = load_dataset("CyberMax-tools/curvewire-us-macro-panel", "treasury_yields", split="train").to_pandas()
print(curve[curve.spread_10y_2y < 0].date.agg(["min", "max", "count"]))   # inversion days

bls = load_dataset("CyberMax-tools/curvewire-us-macro-panel", "bls_monthly", split="train").to_pandas()
cpi = bls[bls.series_id == "CUSR0000SA0L1E"].set_index("date")["pct_change_12m"]
print(cpi.tail(12))   # core CPI inflation, last 12 months
```

## Refresh and revisions

Rebuilt from the agencies' own files (Treasury's daily CSVs, BLS bulk time-series files); `meta.json` has the build time and each series' latest month. BLS revises recent months (payrolls for two months, CPI seasonal factors each February), and every refresh picks the revisions up, so always use the latest build rather than stitching old ones together.


<!-- cybermax-production:start -->
## Use it in production

This snapshot is free. Prefer the weekly picture to raw series? The US Rates & Macro Brief arrives every Monday as a PDF plus CSVs: every tenor's move, curve spreads and TIPS breakevens.

[See the US Rates & Macro Brief (weekly)](<https://data.cybermaxtools.com/buy/curvewire-brief?s=hf-feed-curvewire>)

**Licence:** Free for any use, including commercial (CC0; Treasury and BLS data are public domain). Using it at work? The [Commercial License + Support](<https://data.cybermaxtools.com/buy/dataset-license?s=hf-feed-curvewire>) adds an invoice, a licence certificate, named support and an SLA.

*Information only, not investment advice.*

<!-- cybermax-production:end -->

## Licence

US Treasury and BLS data are works of the US federal government, in the public domain; this compilation is released under **CC0 1.0**. Please cite the agencies as the source. Compiled by **CyberMax**. Not affiliated with or endorsed by the US Treasury or BLS. Not investment advice. Series from redistributors with third-party copyright (e.g. some FRED series) are deliberately not included.

## Also from CyberMax

- Free datasets: [Eventwren: SEC 8-K events by Item](https://huggingface.co/datasets/CyberMax-tools/eventwren-sec-8k-events) · [Insidewell: SEC Form 4 insider transactions](https://huggingface.co/datasets/CyberMax-tools/sec-form4-insider-transactions)
- Tools for AI agents and data teams (pay per use, on Apify), e.g. [Insidewell: SEC insider trading tracker](https://apify.com/cybermax/sec-insider-tracker) and [Swellmeter: Google Trends API](https://apify.com/cybermax/google-trends): https://apify.com/cybermax

<!-- cybermax-xlinks:start -->
## More free from CyberMax

- [All free CyberMax demos & datasets](https://huggingface.co/spaces/CyberMax-tools/cybermax)
- [Insidewell: SEC Form 4 Insider Transactions (latest EDGAR filings)](https://huggingface.co/datasets/CyberMax-tools/sec-form4-insider-transactions)
- [Eventwren: SEC 8-K Material Events by Item (latest EDGAR filings)](https://huggingface.co/datasets/CyberMax-tools/eventwren-sec-8k-events)
<!-- cybermax-xlinks:end -->

<!-- cybermax-notebook:start -->
## Quickstart notebook

Load this dataset with pandas and see real outputs in the [quickstart notebook](https://huggingface.co/datasets/CyberMax-tools/curvewire-us-macro-panel/blob/main/notebooks/quickstart.ipynb).
<!-- cybermax-notebook:end -->