Skip to content

KB/signal

2s10s Curve

Last verified

Auto-generated. This article is rebuilt from app/signals/config/signal_definitions.json by scripts/build_signals_kb.py. Edit the registry entry and re-run the script β€” do not edit this file directly.

2s10s Curve

What it is

2s10s Curve β€” registry key curve_2s10s.

Yield curve shape is a slow-moving recession indicator; informational context alongside credit signals.

Data-pyramid tier

T1 β€” Signal. This metric sits at the signal layer of the platform’s six-tier data pyramid (T0 raw inputs β†’ T5 actionable read). The tier reflects how far the value is from a raw measurement β€” not how strongly it is validated. Abstraction and validation are separate axes: a higher tier is not a claim of stronger evidence.

Horizon & validation

No validated skill horizon is on file for this metric β€” read it as context / a data carrier, not a validated edge. Stamps are added only when a gated research verdict lands.

Source

Source module: credit
Data source: back_fillable

Fetched directly from app/sources/credit.py; see source code for the upstream API call and any provider-specific handling.

How it’s computed

Treasury 2s10s spread = tnx_close (10y) βˆ’ dgs2 (2y), in percent. Raw 2y from FRED series DGS2; 10y from existing tnx_close. See app/sources/credit.py.

Where it surfaces

Bands / thresholds

Classifier direction: higher_is_better.

Range Label Dot Implication Points
β€” Healthy slope favorable BULLISH β€”
β€” Flat-ish leaning NEUTRAL β€”
β€” Flat neutral NEUTRAL β€”
β€” Inverting cautionary BEARISH β€”
β€” Inverted adverse BEARISH β€”

Health-score / alignment role

Display-only β€” has bands for surface labeling but does not contribute to the health score (scoring is handled by a companion metric).

Release cadence

cadence corrected 2026-06-12 (PR-4/L1-6): FRED T10Y2Y/DGS2 daily series, next-business-morning publication, stored value is T-1 (app/sources/credit.py); was mislabeled intraday.

See also