metadata
license: other
language:
- en
pretty_name: Dragon Finance - rates
tags:
- finance
- financial-data
- us-financial-data
- rates
Dragon Finance — rates
US sovereign rates and public finance — the risk-free curve and federal cash flows.
Part of the Dragon Finance Corpus — US public financial data from federal and official sources only. Nothing licensed, paywalled or registration-only.
Coverage
| Yield curve | Treasury daily yield curve, all maturities |
| Auctions | auction results via the Treasury fiscal API (auctions_query) |
| Fiscal | Treasury fiscal data: debt to the penny, average interest rates, interest expense |
| Money-market rates | NY Fed reference rates and SOMA holdings |
Size
| metric | value |
|---|---|
| stored | 61.88 MB |
| shards | 17 |
Sources present
| source | jurisdiction | data | licence |
|---|---|---|---|
| US Treasury | US | daily yield curve | public domain |
| FRED (St. Louis Fed) | US | rates + macro series | CC-BY-4.0 |
| SEC municipal advisers | US | registered municipal advisor registrations | US public record |
| NY Fed | US | reference rates (EFFR/OBFR/SOFR) + SOMA holdings | public |
| US Treasury | US | daily yield curve | public domain |
What you can do with it
- Build discount curves
- Track issuance and auction demand
- Monitor federal interest cost
For engineers
Data is stored as tar shards (the hub caps a directory at 10,000 files and these tiers run to millions). Members keep their original names and relative paths.
import tarfile
with tarfile.open("0000.tar") as tf:
print(tf.getnames()[:5])
tf.extractall("out/")
| shard | size |
|---|---|
README.md |
2.2 KB |
data/treasury/0000.tar |
675.8 KB |
fred/rates/0000.tar |
4.63 MB |
fred/rates/0001.tar |
532.5 KB |
fred/rates/0002.tar |
3.91 MB |
information-about-registered-municipal-advisors/0000.tar |
337.9 KB |
Showing 6 of 17 shards.
Every shard records its sha256 in the pipeline ledgers; shards are append-only, so a resumed run re-uploads only what changed. A shard with a failed member is never marked complete, so missed files are retried rather than dropped.