Hedge fund 13F tracker: every filer, every quarter, one feed

Form 13F is the Securities and Exchange Commission's quarterly holdings disclosure: institutional investment managers report the US-listed equities they held at quarter end, and each filing lands as public record. A tracker turns those filings into watchable histories - a manager page you revisit every cycle, quarter-over-quarter comparisons of the same security, holder lists showing every filer on the other side of a name. The grain is unforgivingly regular: one row per manager, per security, per quarter.

Scale surprises people first. The directory behind the 13F Info record lists 1,116 managers whose names begin with "A" alone - a hint of how many filers a single quarter's sweep touches - and the Q2 2026 cycle is verified present as of August 2026. Datadory delivers that same sweep as typed rows upstream of any clicking: you name a manager or a security and receive the position history, not a research project.

Two depths ship side by side in the Multi-Sector Holdings pool. Coverage keyed to structured EDGAR XML runs from 2013 through the current quarter. The cleaned position-level archive in the WhaleWisdom record pushes the window back to Q1 2001 and attaches the adjacent disclosure types: Form 4 insider transactions and Schedule 13D/G filings from roughly 2006 onward, plus mutual fund and ETF constituent data since 2019.

Because both trackers derive from the same public SEC filings, a discrepancy between them points to a parsing difference, not a different source document. The practical consequence splits cleanly: if the fund you follow started filing recently, the shallower window already spans its entire reported history; if you want behavior through earlier cycles - the dot-com unwind included - only the 2001 archive reaches those quarters.

Some filers attract a tracking economy of their own, and Berkshire Hathaway is the clearest case in this slice. Two complementary views cover it. The Berkshire Hathaway Holdings and Financial Tables record packs four structured tables and a roughly 23-field infobox onto one page: 47 rows of annual returns versus the S&P 500 since 1965, 32 equity holdings rows with ownership percentages and values, and around 20 recent years of financial history. That is a structured snapshot, not a feed.

For the quarter-by-quarter trail, the 13F record carries Berkshire's manager page through every filing cycle - and the identical routine transfers to any other filer page, not just the famous ones. Pull the long-run profile once for portfolio shape and the returns record, then diff the positions each quarter to catch additions, exits and size changes.

A tracker tells you that a manager bought a stock; it does not tell you where that legal entity sits inside a corporate group, and filer names rarely match the operating subsidiaries you actually care about. Three records close the gap. GLEIF Golden Copy and Delta Files holds roughly 3.41 million Level 1 entity records and about 485 thousand Level 2 direct-and-ultimate parent-child relationships - walk upward from an operating company to the group that consolidates it.

For on-demand resolution, the GLEIF API mirrors the same index: a name search for Berkshire Hathaway returns 11 matches resolving to the 20-character identifier 5493000C01ZX7D35SD85, a standing reminder that name-only joins need disambiguation rules. When an entity holds no LEI at all - private and state-linked structures are common - OpenCorporates supplies officer and filing records from more than 140 government registries, including all 50 US states, across a marketed universe of over 200 million companies.

Tracking is retrospective; backtesting asks whether the tracked positions would have made money. The cleaned archive reaching Q1 2001 supports 13F-mimicking strategies end to end, and proprietary enrichment layers - rankings, a WhaleIndex, a WhaleScore - sit on top of the same filings, unlike the filings themselves, which are US Government public record.

Investors and quant researchers diff quarters to read positioning shifts and screen for crowded names. Market researchers overlay institutional ownership onto market-entry and concentration studies. Data scientists treat thousands of uniformly shaped position rows as honest fixtures for entity-resolution and matching pipelines. Sales and growth teams read filer universes as account lists with disclosed convictions attached.

Workflow mappings live on the pairing pages: the positioning workflow runs through multi-sector-holdings data for investors and quants, the pipeline angle through industrial conglomerates data for data scientists, and sizing work through the market researchers route for this industry.

This cluster sits inside a 16-dataset pool spanning regulatory filings, legal-entity reference data and government energy statistics. The multi-sector-holdings data guide walks all of it, and the multi sector holdings data hub lists every product with coverage and delivery options in one table.

Adjacent workflows: ultimate parent company lookup resolves each filer up to its ultimate owner, company registry data for KYC screens the counterparties you resolve, and conglomerate segment revenue data adds the financial dimension a filings-only view lacks.