Questions

Can we parse the filings ourselves?

You can. The filings are public, and a first pass takes a weekend.

Keeping the data current is the hard part. We maintain a universe of 1,200+ fund families, collect sponsor holdings daily where available, process all N-PORT filings at full depth, project weights forward nightly, resolve identifiers that match your book directly, and stamp entries with source and date.

Is this real-time data?

Funds report their books periodically. For the largest ETF sponsors, we collect the sponsor holdings file daily, so those portfolios are typically a business day old. For other funds, we project the newest filing forward through price movement. Entries cite source and age. Read more about reporting lag →

We matched our ISINs and half came back empty.

Funds report holdings at portfolio level. Share classes of a fund share a book, so holdings publish under the portfolio identifier.

Match your ISIN to fund reference or fund liquidity. Both record portfolio_id, the identifier the holdings publish under. Use that value against the holdings file. The liquidity_status field on the fund liquidity entry records whether the portfolio has a current published book. How the files link →

How can we verify the data?

Measured values cite their evidence. On a holdings position, projection_method, data_source and data_source_date record where the weight came from and how old the source is. On a liquidity entry, data_source, data_source_date and staleness_days do likewise, while liquidity_status and exit_cost_status record the measurement basis. On a portfolio analytics entry, holdings_coverage_pct records how much of net assets the listed positions account for, and fixed-income measures stand beside their own coverage columns. Compare any figure against the filing cited. Sample files →

How is the fee data sourced?

From the fund's own regulatory filings. Net expense ratio reflects fee waivers in effect. Gross expense ratio is the contractual rate before waivers. Measures rank against a peer group defined by vehicle type and investment objective, with quintile, peer median, and peer count on the entry. Cost data →

How are sector and credit weights built?

From position-level holdings. A position's weight in the portfolio determines its contribution to the sector or credit-quality bucket. Weights recalculate nightly as positions project forward. Holdings and exposure →

Where does manager and adviser data come from?

Portfolio manager names and start dates come from the fund's SEC filings, primarily Form N-CEN. Adviser registration details come from the adviser's own Form ADV. Parent-firm identity resolves from SEC registrant filings and matches to the Global LEI Foundation record. Identity and governance →

Which funds are covered?

1,200+ fund families and 90k+ share classes across the U.S., Europe, and Japan. U.S. coverage starts from mutual funds and ETFs filing Form N-PORT, alongside unit investment trusts from sponsor filings. International coverage draws from EDI and EDINET fund universes, spanning Luxembourg, Ireland, Japan, the UK, and further domiciles. How we measure coverage →

The universe builds from maintained source lists and matches against daily NAV tapes, so it stays consistent across deliveries. What the filings disclose and what they leave out →

Can we license only the funds we need?

Yes. Entitlements belong in the scoping conversation. A lending desk may want the full universe in a nightly delivery. A wealth platform may prefer a few hundred funds. Both receive identical underlying data, and we scope and price it for the way they work.

What does it cost?

Pricing follows your fund universe, your delivery, and your entitlements. Tell us which funds you need, who will use the data, and how you want delivery, and we will send back a scope and a price. Start that conversation →

How can we evaluate the data?

Send us the funds already in your book. We will walk through the live data, show how the identifiers match your positions, and let you compare the figures against what your desk already believes about those funds. Beforehand, download sample files or open a fund in the explorer.

Who is behind the data?

SQX, a financial data platform delivering bond pricing and reference data to trading desks, asset managers, and platforms. The fund engine runs on the infrastructure behind those products. Meet the team →