DealCharts

A public reference for structured finance
1,169 deals7,279 charts
Each page on DealCharts is designed to be cited directly, with stable URLs, timestamps, and source links.

What is DealCharts?

DealCharts is a public, read-only reference site for structured finance deals, funds, and counterparties. It publishes standardized charts and summaries derived from SEC EDGAR filings and issuer disclosures. Data is extracted, normalized, and linked to enable citation-ready outputs for both human analysts and AI systems.

What You'll Find Here

Deals
CMBS, Auto ABS, CLO securitizations with pool metrics and filing links
Charts
Pre-rendered, deal-specific charts with downloadable data and canonical URLs
Funds
Institutional holders with ABS exposures from NPORT-P filings
Counterparties
Servicers, trustees, and operating advisors linked to deals
Documents
Links to source SEC filings (10-D, ABS-EE, NPORT-P)
Datasets
Downloadable CSV and JSON exports for analysis

Coverage Snapshot

Asset Classes

CMBS, Auto ABS, CLO, BDC, +3

Time Range

2017 to present

Update Cadence

Within days of SEC publication

Sources

SEC EDGAR, issuer disclosures

Asset Classes

Browse structured finance data by asset class. Each section includes deal-level pages with computed metrics and cross-deal analysis.

Auto ABS

Pool composition, servicer performance, vintage comparisons

CMBS

Loan-level data, property exposures, delinquency metrics

Fund Holdings

NPORT-P derived ABS exposures by fund

BDCs

Portfolio analytics, peer comparisons

Student Loan ABS

Coming soon
Deal pages with pool and performance dataComing soon

Credit Card ABS

Coming soon
Deal pages with pool and performance dataComing soon

Newest Deals

Newest Charts

Trust and Citation

DealCharts publishes machine-readable artifacts (JSON-LD, CSV datasets, LLM-optimized endpoints) alongside human-readable pages. Each entity page includes stable canonical URLs, source links, and as-of timestamps for citation.

Data conforms to ODPS (Open Data Publishing Standard) for attribution-ready outputs.

Dealcharts.org FAQ

What is Dealcharts?

Dealcharts is the open context graph for structured finance. We connect filings, deals, shelves, tranches, and counterparties so you can explore relationships like a wiki—backed by charts you can cite and share.

What can I do with the charts on this site?

Use charts to answer questions quickly, validate your own analysis, and enrich presentations, emails, blogs, or newsletters. Each chart links back to the underlying context so you can trace who's involved and why it matters.

Can I search for different charts?

We're expanding coverage continuously. A dedicated search experience is on our roadmap; in the meantime, use entity, deal, and shelf pages to navigate related charts. Tell us what you need and we'll prioritize it.

Why does Dealcharts exist?

To make structured-finance context open and trustworthy. Instead of hunting PDFs and spreadsheets, you get a connected view of entities, deals, and filings—with clear paths for market participants and analysts.

What is Context Creation?

It's how everyday work becomes training-ready data. Verified statements, explanations, and citations are captured with provenance so they can ground retrieval, support evaluation, and—when opted-in—train future models.

How can I report incorrect data?

Look for "Spot an error?" on charts and profiles to report fixes or confirmations. You can also contact us directly at hello@dealcharts.org.

Why does structured finance need better training data for AI?

Current AI models struggle with specialized finance because training data is sparse, inconsistent, and lacks provenance. Better data means copilots that understand shelf structures, can verify counterparty relationships, and cite sources—reducing hallucinations in high-stakes analysis.

How does creating structured data now help the market long-term?

As AI becomes infrastructure for analysis, search, and decision-support, the market needs a foundation of truth. By creating provenance-rich data today, we ensure tomorrow's copilots can verify claims, trace lineage, and flag uncertainty—making markets more efficient and trustworthy.

What's the business case for entities to contribute training data?

Entities that maintain accurate public profiles and relationships ensure AI systems represent them correctly. When copilots cite your data, it increases visibility and positions you as a trusted source. Misrepresentation is costly—accuracy is preventative.

I'm new to structured finance—where should I start?

Start with our About page and explore a few CMBS or Auto ABS deals. Each deal page explains the structure, shows charts, and links to key entities. The FAQ and glossary (coming soon) help decode terminology.

How do I find a specific deal or entity?

Use the search bar at the top of any page. Search by deal name, shelf, CIK, or entity name. Results show deals, entities, and related charts. Browse by sector (CMBS, Auto ABS, BDCs) for broader exploration.

What datasets are available for download?

We publish curated deal-level datasets (CSV, JSON) and LLM-optimized facts endpoints. Bulk exports cover CMBS pools, Auto ABS metrics, and BDC holdings. Visit /datasets/ for the catalog.

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From filings to trust.

Discover

Charts and summaries from filings
EDGAR FILINGSISSUER DISCLOSURESACCESSIONSDEALSFUNDSCOUNTERPARTIESDATASETS

Organize

Claims and provenance (time-aware)

Trust

Evidence review in Signals