If you have access, that button takes you straight there. If you do not, ask whoever sent you
the note to add your address — the platform is invitation-only, and the note you were reading
came from it.
Equity research infrastructure
The model and the note are the same thing.
Live financial models of managed-care companies, and the research written from them — built
so that every figure in a note can be traced back to the assumption that produced it, and to
the filing that produced the assumption.
2companies modelled end to end, each from its own filings
68research surfaces, from the three statements to state-level Medicaid
10yrof filed segment history, per segment and sub-segment
3note formats across the earnings cycle — preview, print, call
Three things, joined up
Most research is a model in one place and a document in another, reconciled by hand and by
memory. These are one system, which is what makes the rest of it possible.
A model you can interrogate
Full three-statement forecast driven by segment-level assumptions, on the company’s
own reporting calendar — annual, quarterly, or a mix. Change one driver and every
statement, scenario and valuation moves with it, in your own copy, visible to nobody else
until it is published.
Research built from the model
A preview before the print, a review of the result against sealed consensus, and a note on
what the call added — written from the model’s own numbers rather than retyped from
it, then scheduled and sent to a named list.
A record of what changed
Every published version keeps what it replaced, field by field, with the reason it moved.
A number from six months ago still explains itself, and so does the person who changed it.
What’s inside
The model is the spine. Most of the platform is the work that has to exist underneath a
forecast before it means anything — the industry it sits in, the history it came from, and
the evidence for each assumption.
The model
Three statements on a mixed annual and quarterly axis
Segment forecasts built from members, price and cost
Scenarios — base, bull, bear, and named cases of your own
Results vs consensus, sealed before the print
EPS power, uses of cash, credit and the debt schedule
Excel export that computes what the app computes
Valuation
Historical multiples against the company’s own record
Projected value from growth and multiple, side by side
Implied return — what today’s price has to believe
Point-in-time consensus, reconstructed from dated guidance
Portfolio backtest over many start dates, against a null
Rating and price target, each axis argued and dated
The company
Company history from inception, with what the market paid
Segment history, ten years, segment by segment
Risks sized in EPS on drivers that actually move
Target margins, each graded by what it is sourced to
Management, proxy and acquisitions from the filings
Catalyst calendar and quarterly commentary
The industry
Medicare Advantage — rates, stars, benefits, SNPs
Medicaid — expansion, state programmes, monthly enrolment
Commercial — employer, exchange, and the uninsured
Pharmacy and PBM economics
Medical cost trend and industry margins by line
Peer scorecard and every peer’s quarterly print
How a note actually gets out
The part that usually lives in somebody’s inbox and memory. Writing, reviewing,
scheduling and sending are one path, and every step of it is refusable.
01
Built from the model
Pick the company and the format. The note is generated from the current model — its
figures are the model’s figures, not a transcription of them.
02
Audited before it moves
The finished note is checked against the reported figures it was built from, and against
its own text. Rehearsal wording, an unverified claim or a stale figure stops it.
03
Addressed deliberately
The company’s standing distribution list, or a set of people chosen for this note.
The list is resolved when it sends, so an unsubscribe in between takes effect.
04
Scheduled, and cancellable
Queued for a time you choose and visible until it fires — what is waiting, when it goes,
and exactly who receives it. Nothing sends without passing every check again.
What the machinery is actually for
Nearly all of it exists to make one kind of mistake impossible: a figure reaching a reader
without anyone able to say where it came from.
Consensus is sealed first
The benchmark is hashed before the company reports, so a beat is measured against what
was expected beforehand — not against a number revised afterwards.
Nothing is inferred
A figure that was not disclosed is recorded as absent and says so. A null with an
explanation is the correct answer; an interpolation presented as a fact is not.
Sourcing is a field, not a footnote
A margin target the company stated and one the analyst assumed are different objects, and
the platform will not let them share a column without saying which is which.
A note is audited before it goes
The finished note is checked against the reported figures it was built from. If those
changed after it was written, it does not send.
Sending is off until switched on
A container that is merely running cannot email an investment committee. Live sending is
enabled by hand, after a dry run has been read.
Drafts are private until published
Anyone can work on their own version of the model. Only the owner of that model can make
one the official build, and doing so is recorded.
Access is granted one surface at a time
There is deliberately no bundle to hand out. Each person’s reach is set surface by
surface, and every change to it is written to the audit log.
Every change has an author
Who changed what, when, and what it replaced — kept for good, and readable by everyone
who reads the numbers.
Built for the second company, not just the first
A platform written around one company will quietly serve that company’s answers under
every other name. Its reporting calendar becomes the calendar; its segments
become the segments; its peer group, its research and its executives end up
on another company’s page, and nothing errors.
So the time axis, the segment tree, the revenue build, the driver registry, the research and
the risk register are all declared per company rather than assumed — and
the tests assert that the second company behaves, not merely that the first still does. A
surface no one has researched for a company is hidden rather than filled in
with somebody else’s.
Adding a company is a sequence of declarations, each one checkable on its own. It is the
least glamorous work in the system and the reason a number can be trusted once there is
more than one company in it.
Access is by invitation
The platform is private. If you have an account, sign in with the address it was issued to.