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Signals Taxonomy

Signals are interpretable patterns, events, or relationships derived from Dealcharts data. They bridge data → verified context → outcomes — for analysts and AI alike.

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9 signal types found

Core Financial

Performance Trends

Quant changes in delinquency, loss severity, DSCR, CPR, etc.

Examples

Delinquency rates rose 15% across 2024-vintage CMBS
Average loss severity on liquidations down 30 bps

CMBS

ABS

Delinquency

Loss

See deals Related charts

Core Financial

Prepayment / Refi Patterns

Speed and refinance behavior across pools and vintages.

Examples

Auto ABS prepayments accelerated post rate cut
SASB office exhibits muted refi activity

Prepay

CPR

Rates

Explore ABS

Entity Behavior

Entity Behavior & Activity

Issuer cadence, servicer corrections, trustee latency, fund exposure.

Examples

Midland corrections improved ID match rates by 9%
BlackRock CMBS exposure up 18% QoQ

Issuers

Servicers

Funds

Trustees

Entities directory

Credit & Ratings

Ratings Divergence

Differences between agencies over time and shelves.

Examples

Moody's vs. Fitch spread widened 40 bps on 2023 shelves

Ratings

Credit

AI-Relevant

Context Graph Completeness

Growth in verified links, coverage, and annotation density.

Examples

Avg. deal now has 5.4 connected entities (up from 3.1)

Graph

Verification

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Market & Macro

Market Share & Issuance

Share shifts by issuer/arranger; issuance trends by sector.

Examples

Wells overtakes JPM in new issuance volume
Office drops below 10% of new CMBS

Issuance

Sector

Structural & Network

Structural & Relationship Signals

New links, counterparty clusters, centrality in networks.

Examples

Top 5 issuers share same trustee in 40% of deals

Network

Trustee

Clusters

Economic & Regulatory

Economic & Regulatory Impact

Rate/regulatory shifts visible in SF data.

Examples

SOFR hike slowed conduit issuance
New SEC rule improved ESG data transparency

Rates

Regulation

ESG

Contributor & Community

Contributor & Community Output

Verified notes, external writeups, and fixes that improved data.

Examples

Contributor validation fixed 42 incorrect loan IDs

Contributors

Quality

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