Methodology

Public data sources, update frequency, and how the Industry Composite is calculated

Flightline Composite View

The Flightline Composite View is a composite index (0-100) measuring the overall health of the U.S. mortgage lending industry. It is computed from real data across six weighted components, each scored independently:

Component	Weight	Source
Rate Environment Stress	20%	FRED API, Fannie Mae loan-level data
FHA Defect Pressure	20%	FHA Neighborhood Watch (453 lenders)
Fannie Mae Performance	20%	Fannie Mae loan-level delinquency & repurchase data
Enforcement Activity	15%	CFPB, OCC, NCUA enforcement actions
Regulatory Intensity	15%	Cross-agency enforcement density
Market Stress	10%	Compare ratio distribution (% above 150)

Score Interpretation

0-30 (Stressed)

Multiple headwinds: volume declining, defects rising, regulatory pressure intense.

31-50 (Cautious)

Mixed signals. Some areas of concern, monitor closely.

51-70 (Stable)

Normal operating conditions. Typical cyclical position.

71-100 (Strong)

Favorable conditions. Volume growing, defects contained.

Editorial Standards

The AWACS distinguishes between three types of content:

Observed Facts: Directly sourced from public data (FRED, FHA, CFPB, Fannie Mae)

Computed Metrics: The Industry Composite and component scores derived from public data using our published methodology

AWACS Analysis: Editorial risk signals and commentary reflecting our interpretation of available evidence

We clearly distinguish between data and opinion throughout the dashboard.

Data Sources

All data used in the AWACS comes from publicly available sources:

This public dashboard presents market, regulatory, and industry-level signals. Internal sales or prioritization metrics are not included.

Federal Reserve Economic Data (FRED): Federal Reserve Bank of St. Louis: rates, yields, CPI, unemployment

Freddie Mac PMMS: Primary Mortgage Market Survey (mortgage rates)

HUD FHA Neighborhood Watch: Compare ratios, endorsements, claims for 453 lenders

Fannie Mae Single-Family Loan Performance Data: Delinquency, repurchase, modification data for 57 top sellers

CFPB Consumer Complaint Database: Consumer complaints by product, company, and issue

CFPB Enforcement Actions: Bureau enforcement actions and consent orders

OCC Enforcement Actions: Office of the Comptroller of the Currency enforcement actions

Kalshi Prediction Markets: Market-implied probabilities for economic events

HMDA: Home Mortgage Disclosure Act origination and denial data

Update Frequency

Rates & yieldsDaily (via FRED API)

Composite ViewComputed in real-time from underlying data

FHA compare ratiosQuarterly (FHA Neighborhood Watch)

Fannie Mae performanceQuarterly (loan-level data)

Enforcement actionsAs published

FLIGHTLINE Platform

FLIGHTLINE uses this same underlying data (FHA defect metrics, Fannie Mae performance data, and regulatory intelligence) to power its autonomous quality control platform for mortgage lenders. The AWACS is our way of making this intelligence freely available to the industry.

For institution-specific analysis, peer benchmarking, and automated defect detection, learn more about FLIGHTLINE →

Transparency

We believe in full transparency about our methodology. The AWACS is designed to be an objective, data-driven tool. Our editorial layer (risk signals, impact assessments) represents our best analysis based on available evidence. We clearly distinguish between data and opinion.

Questions about our methodology? Contact us at jesse@flightlinehq.com