Fund Holdings Deal Charts
Learn why tracking the holdings of bonds in structured finance is critical, and how metadata from NPORT-P filings in Dealcharts.org provides actionable insights for investors and analysts.Who holds what — and how that shapes the market.
At Dealcharts.org, we organize fund holdings data from NPORT-P filings to reveal connections between funds, bonds, and deals. This metadata-first approach brings visibility to relationships that are otherwise buried, helping both humans and AI systems make smarter decisions.
Fund Metrics
Key performance indicators and portfolio statistics across institutional funds that we are reporting on.Portfolio Composition
Asset Allocation
Funds Index
Search and explore institutional funds by name. View detailed holdings and external resources.| Fund Name | Total Value | Report Date | Filing Date | Asset Types |
|---|---|---|---|---|
| Loomis Sayles Full Discretion Institutional Securitized Fund | $16.9M | Oct 31, 2026 | Apr 1, 2026 | cmbs |
| Catholic Responsible Investments Bond Fund | $25M | Oct 31, 2026 | Apr 1, 2026 | cmbs |
| AAM SLC Low Duration Income ETF | $8.8M | Oct 31, 2026 | Mar 31, 2026 | cmbs |
| VANGUARD STAR CORE-PLUS BOND FUND | $83.6M | Oct 31, 2026 | Mar 31, 2026 | auto |
| Global Bond Fund | $43.1M | Oct 31, 2026 | Mar 30, 2026 | cmbs |
| Capital Income Builder | $33.8M | Oct 31, 2026 | Mar 30, 2026 | cmbsauto |
| Balanced Fund | $2.4M | Oct 31, 2026 | Mar 30, 2026 | cmbs |
| American Funds Global Balanced Fund | $8.2M | Oct 31, 2026 | Mar 30, 2026 | cmbs |
| John Hancock CQS Asset Backed Securities Fund | $6M | Oct 31, 2026 | Mar 30, 2026 | cmbsauto |
| AMG GW&K Core Bond ESG Fund | $277K | Oct 31, 2026 | Mar 30, 2026 | cmbs |
| Columbia Short Duration Bond ETF | $24.5M | Oct 31, 2026 | Mar 27, 2026 | cmbsauto |
| Franklin Low Duration Total Return Fund | $91.8M | Oct 31, 2026 | Mar 27, 2026 | cmbsauto |
| Putnam Short Duration Bond Fund | $26M | Oct 31, 2026 | Mar 27, 2026 | cmbs |
| JPMorgan Income Builder Fund | $163.9M | Oct 31, 2026 | Mar 27, 2026 | cmbsauto |
| Putnam Global Income Trust | $6.7M | Oct 31, 2026 | Mar 27, 2026 | cmbs |
| iShares Core Universal USD Bond ETF | $54M | Oct 31, 2026 | Mar 27, 2026 | cmbsauto |
| Putnam Income Fund | $66.4M | Oct 31, 2026 | Mar 27, 2026 | cmbsauto |
| MetLife Core Plus Bond Fund | $1.1M | Oct 31, 2026 | Mar 27, 2026 | cmbs |
| Knights of Columbus Core Bond Fund | $1.9M | Oct 31, 2026 | Mar 27, 2026 | auto |
| NYLI MacKay Strategic Bond Fund | $76.8M | Oct 31, 2026 | Mar 26, 2026 | cmbsauto |
| NYLI MacKay Total Return Bond Fund | $21.1M | Oct 31, 2026 | Mar 26, 2026 | cmbsauto |
| MFS Income Fund | $76.3M | Oct 31, 2026 | Mar 25, 2026 | cmbsauto |
| MFS Global Total Return Fund | $4.8M | Oct 31, 2026 | Mar 25, 2026 | cmbs |
| FlexShares Ultra-Short Income Fund | $36.4M | Oct 31, 2026 | Mar 25, 2026 | auto |
| Janus Henderson Asset - Backed Securities ETF | $7.6M | Oct 31, 2026 | Mar 23, 2026 | auto |
Why Fund Holdings Matter
Fund holdings data tells a story about how structured finance products move through the market — and who's exposed to them. This data is essential for:
- Understanding market sentiment
- Evaluating portfolio risk and liquidity
- Tracking regulatory alignment
- Building agentic models that reason about capital flows
Real Use Cases
🧠 For Portfolio Managers
Use fund holdings metadata to enrich your own view of capital markets. Understand how your fund's exposures compare across peers — and feed that context into cashflow modeling, allocation decisions, and capital markets strategy.
📡 For Vendors & Data Providers
Surface which funds are exposed to which structured products. This opens the door to context-aware outreach, product targeting, or building datasets that align with fund exposures and mandates.
🤖 For AI Systems
Every connection — fund → bond → deal — creates a new opportunity for prompting. This metadata graph enables systems to trace relationships, contextualize holdings, and power intelligent agents that can explain, recommend, and synthesize structured finance positions.
What We Capture
We extract and structure metadata from each NPORT-P filing, including:
- Fund identifiers and classifications
- Security-level holdings (including CUSIP, name, quantity, value)
- Issuer and deal-level linkages where identifiable
- Time-series snapshots to observe shifts in allocation
The Metadata Advantage
A metadata-first strategy transforms raw holdings into structured, usable inputs:
- Risk & liquidity modeling → See how concentrated exposures evolve over time
- Portfolio comparison → Benchmark funds holding similar deals or bonds
- Trend detection → Analyze asset flows, not just prices
- Prompt engineering → Feed lineage and relationship data directly into LLM workflows
Get Started
We've made fund holdings data accessible, structured, and ready to use — whether you're running models, building products, or exploring the structured finance ecosystem.