SMART MONEYhealthcare ownership terminal early beta 2026-06-30 books · built 2026-10-16 Open the terminal

Every screener tells you who owns a healthcare name. This one tells you what kind of money it is.

An index fund, a multi-strategy pod running a three-week catalyst trade, a PIPE financier who bought at a discount, and a physician-founded specialist who spent four months on the mechanism all render as identical rows on a normal ownership table. They mean completely different things.

The money is classified first, and everything else — sorting, scoring, filtering, comparison — runs on that classification. Schedule 13D/G filings are carried alongside, because they land within days of a 5% crossing rather than 45 days after a quarter ends.

Open the terminal → An email address is all it asks for.

One real company — Nkarta, Inc. (NKTX) at 2026-06-30
RA CapitalSpecialist HF15.1% of the company · 0.3% of their book · heldcounts 1.00 in the score
NEAVenture & strategic5.0% of the company · 0.6% of their book · heldcounts 0.60 in the score
AlyeskaGeneralist L/S0.7% of the company · under 0.1% of their book · trimmed -77%counts 0.45 in the score
AWM / Special SituationsStructured / financing1.3% of the company · 0.2% of their book · heldcounts 0.30 in the score
The largest holder of each kind, as each filed its 13F; each owns at least 0.5% of NKTX. A normal ownership table lists these as rows of the same shape. Here each counts for what that kind of money tells you, and the score says how much. Chosen by the build, not by hand.
Tracked institutional value
$317B
across 149 institutional books (81 Specialist HF · 35 Venture & strategic · 20 Other · 11 Generalist L/S · 1 Long-only institutional · 1 Structured / financing), $254B of it in healthcare names, at 2026-06-30
Institutional books
149
of 163 institutions classified — the other 14 are known from a single position. Each book is set against its own 2026-03-31 filing
Issuer positions
7,210
across those 149 books at 2026-06-30; 1,589 more were closed out since 2026-03-31
Schedule 13D/G filings
2,417
on in-scope companies, from 149 managers; 373 of them ⚡ filed after 2026-06-30
Securities
1,965
782 of them healthcare and in scope, 732 of those still trading
Lonely-conviction positions
30
specialist positions of at least 1.5% of the book, in a company no more than 2 tracked books hold
Crowded names
167
companies where tracked specialists own 20% or more of the shares

The register, by kind of capital

Every institution in the dataset carries one of eight classes and an explicit scoring weight — index money is weighted at zero, specialist conviction at full. Counts below are institutions, not dollars.

Specialist HF81
Venture & strategic37
Other22
Generalist L/S11
Multi-strat pod7
Long-only institutional2
Structured / financing2
Index / passive1

It classifies the money

163 institutions in eight classes of capital, each with a scoring weight: an index fund counts for nothing, a pod for a quarter of a specialist. A 13F files one line per instrument, and each is labelled as filed — ownership counts the long claim, so a put is never read as belief, and nothing is called a hedge or a short, because the filing does not say which it is.

It shows what moved, and what is due

149 books set against their own 2026-03-31 filings — opened, added, trimmed and exited, including the exits most trackers throw away. 373 Schedule 13D/G filings since the quarter closed, because a 5% crossing is filed within days. A catalyst calendar whose every row cites the filing its date came from, and a company that has stopped trading is shown as stopped, from its own filing index.

Every figure goes back to a filing

148 of 149 books carry every line their information table filed. 700 of 701 research profiles cite an SEC filing and none rests on a newswire or an aggregator. Every security carries the CIK EDGAR knows it by, and a percentage that would be wrong — a reverse split putting holdings and quote on different share bases — is withheld with a warning rather than shown.

Not here yet

This is in early beta, so it is worth being plain about what is missing rather than letting you find out. Everything below is designed and specified; none of it is half-built behind a flag. Next means the work is unblocked and scheduled; planned means it is waiting on a decision or on data the dataset does not yet hold.

Ownership over timenext

Five years and 2,536 filed books are already loaded and validated. Every past event on a security already shows the 13F either side of it. Still to come: how one manager’s position moved quarter by quarter, how the cohort rotated between therapeutic areas, and how long a position has actually been held.

Lonely conviction, over timenext

Today a lonely position is a single-quarter photograph. It cannot tell you whether a manager has been alone in it for eight quarters and adding, or is alone because two other books sold out from under them. Those are opposite situations.

Build a rule and replay itplanned

Compose a hypothesis out of the classification layer — “the top ten oncology specialists’ five most-overlapped holdings” — and replay it quarterly across the corpus. It would state what a rule would have owned, never that you should own it.

Long and short exposureplanned

The instrument is labelled today; the aggregate is not. This would show how much of a name the tracked cohort is long through common and warrants against how much it is short through puts — as a description of the positions, not a claim about anyone’s view.

Open it

An email address opens it. No password, no confirmation step, nothing to install.

What happens to your address. It is stored to know who has looked and to say when the next quarter lands. Which securities are opened is logged against it, because that is the only way to learn what is actually useful. It is not sold, not shared and not passed to any third party, and it is deleted on request. There is no confirmation email, so nothing here is a verified identity — this is a gate on the dataset, not an account.
Not investment advice. This states observations — three specialists exited this last quarter — never a verdict. It does not tell you to buy, sell or trim, does not model returns, and assumes you check price and valuation elsewhere. A high signal score on a failing asset is still a failing asset. 13F is a lagged, long-only, no-shorts snapshot; movement is a two-quarter difference, not a transaction log.