For Funds
Portfolio managers and fund analysts get public accuracy, assurance, and discoverability for their structured finance holdings — without compromising confidentiality.For Funds
Portfolio managers and fund analysts get public accuracy, assurance, and discoverability for their structured finance holdings — without compromising confidentiality.
See what you hold, and how it connects
Publish Fund Context →
The Fund Visibility Problem
Portfolio managers, fund analysts, and reporting teams know their positions — but they often lack visibility into how those positions appear across the public context.
Fund holdings are frequently misaligned, outdated, or missing when counterparties, vendors, or AI systems reference them.
Dealcharts delivers assurance-grade visibility so you can see — and control — how your fund appears across datasets, dashboards, and AI-driven tools.
What Dealcharts provides
1. See your fund the way the market sees it
Problem: Even correctly filed NPORT-P data can fragment across platforms.
What you get: Assured fund context pages showing mapped holdings and exposures across securitizations — linked to collateral, servicers, and issuers. Visibility into how your fund appears in analytics and AI systems.
2. Correct and assure your exposure across all public deals
Problem: Mis-tagged or missing exposures lead to downstream model errors.
What you get: Ability to publish and reconcile holdings, claim your fund entity, and correct misattributions. Updates propagate automatically across datasets.
3. Discover what peers hold and how exposures compare
Problem: Peer exposure data is opaque and paywalled.
What you get: Open, explorable peer comparisons by issuer, shelf, vintage, servicer, or asset class. Tools to analyze concentration and diversification.
4. Benchmark and validate your internal pipelines
Problem: Internal mappings often drift from public context.
What you get: Cross-validation of internal identifiers against Dealcharts' assured context graph. APIs and exports to sync directly with CMD+RVL's Context Engine.
5. Publish contextual signals tied to your positions
Problem: Portfolio commentary lives in silos.
What you get: Publish structured Signals linked to your holdings — discoverable alongside deal data and charts. Fund attribution travels with your analysis.
6. Future-proof for AI adoption
Problem: AI systems rely on structured, trusted data. Unassured funds risk invisibility.
What you get: Inclusion in the CMD+RVL Context Engine and access to APIs for internal modeling. Your fund becomes AI-readable, assured, and discoverable.
Summary
| Category | Action | What You Get | Why It Matters |
|---|---|---|---|
| Representation | Publish fund context | Accurate market exposure | Protect credibility |
| Assurance | Correct and align holdings | Eliminate errors | Trust the data |
| Discovery | Peer exposure analytics | Transparent comparisons | Smarter market insight |
| Benchmarking | Validate internal pipelines | Cross-reference to assured context | Clean data, faster |
| Signals | Publish contextual analysis | Connect insight to holdings | Extend visibility |
| AI-Readiness | Context Engine integration | Machine-discoverable fund data | Stay visible to AI |
See it in action
Explore how fund managers and analysts use Dealcharts to assure holdings, discover peer exposure, and publish contextual insights.
Ready to strengthen your market representation?
Join the funds already building transparency with assurance-grade context.
Publish Fund Context →