Equity Research
Multi-archetype DCF and a 10,000-path simulation on any US-listed ticker.
Composite fair value, verdict and every assumption behind them.
Real product capture
Run a valuation Public-market research terminal
Value any stock.See every assumption.
Multi-archetype DCF, Monte Carlo simulation and method diagnostics on any US-listed ticker. One workflow, and every number shows its work.
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In this demonstration from a real product run, typing E, L, F finds E.l.f. Beauty, Inc. (ELF, NYSE). The engines complete: the archetype classifies as 1 of 22, the DCF finishes, the simulation runs 10,000 paths, three future paths are priced, and peers are read inside the archetype. The composite value is $75.34 against a market price of $61.43, read as Modestly Undervalued. From the run: revenue growth +42.3%, gross margin 71.2%, forward P/E 16.9x. Every assumption is listed next to the number.
One real run, shown end to end.
01 · At a glance
Today on the desk.
Five sections, one reading habit. Start anywhere.
Portfolio Lab
Stress scenarios across a full book.
Rate, growth and sector shocks, tested before they arrive.
Verified product feature
Stress a portfolio Sector Heatmap
Sectors compared side by side in one grid.
One screen for relative sector strength.
Verified product feature
Compare the sectors Macro Overview
US CPI 3.5%, the first decline in five months.
The day's macro, read in one pass.
Curated · Jul 2026
Read today's brief Capital Flows
$1,300.5B deployed by the S&P 500 last quarter.
Capex, buybacks, dividends and R&D, quarter by quarter.
Session One · Q1 2026 · computed from filings
Trace the capital cycle Also on the desk: Market Pulse · Forecasting Lab · Charts LibrarySession One is research and educational analysis, not investment advice.
02 · How a run works
Ticker in, reasoned number out.
How a run works, in four steps. Step one, type a ticker: any US-listed company; suggestions rank the largest first. Step two, classified: one of 22 valuation archetypes sets the method before any math. Step three, the engines run: DCF, a 10,000-path simulation, three scenarios, peer comparison. Step four, the number, defended: every assumption listed next to the output. The full read is shown in section five.
What you walk away with
The number and its range.The full assumption listThree scenario pathsPeer context inside the archetype
03 · The workbench
Four engines. One research workflow.
Each engine produces a number, a range, and the reasoning behind both, so a thesis rests on structure, not instinct.
One fair value, assumptions attached.
An FCFF DCF with an 8-year explicit forecast by default: archetype-calibrated WACC and terminal assumptions, excess-return routing for financials, and every assumption listed next to the output.
DCF valuation output: composite fair value with its assumptions listed.
Real product capture
DCF EngineFCFF with an 8-year explicit forecast; archetype-calibrated WACC and terminal assumptions.
Monte Carlo10,000 paths per run; the fair value becomes a distribution, not a single point.
Future ScenariosThree explicit paths priced side by side before a position is sized.
Peer ComparisonMultiples read inside the company's archetype, not against the whole market.
04 · Archetype routing
Twenty-two archetypes. One model that adapts.
Banks aren't priced like SaaS. Every company is classified into one of 22 valuation archetypes, each with its own method registry, WACC calibration and margin logic, before a single number is produced.
Deterministic classification: rules and hard overrides, not an LLM
8-year explicit forecast by default, with stage decay
Excluded valuation methods listed with the reason
Auto-classified archetypeReal product capture
05 · The report
Every run ends in a report you can defend.
One ticker in. Four parts out. Nothing hidden in a footnote.
Real product capture
- The verdict and composite fair value
- The drivers behind it
- The standing risk note
What you walk away with
A number you can interrogate, with its range
The full assumption list, in the open
Three scenario paths, priced side by side
The risk note that keeps the read honest
06 · Method
A paper trail behind every number.
Named sources
Market data from Financial Modeling Prep, macro data from the IMF WEO, filings from SEC EDGAR. The source is printed next to the number.
Model-derived reads, labeled as such
Interpretations are rule-based and carry a Derived badge; raw data carries an Observed badge. The two never blur.
Not investment advice
Session One is research and educational analysis. Outputs depend on assumptions, and figures may be delayed or cached.
Real product capture— an unedited screenshot of the product.
Verified product feature— confirmed in code before it is claimed.
Curated · Jul 2026— a sourced figure entered by hand, dated.
Session One · Q1 2026 · computed from filings— calculated by our models from filings or data.
The same labels appear inside the terminal.
22
valuation archetypes
4
engines, one workflow
10,000
Monte Carlo paths per run
8-year
explicit forecasts
07 · Who it's for
The analyst desk, in one tab.
Three workflows: deep valuation, daily macro context, and portfolio stress. Pick the one your next decision needs.
Independent investors
Fair value frameworks, not hot takes.
You know the company. You need the number, the method, and three scenarios before you size the position.
Equity Research → DCF → Scenarios
Explore Equity Research Active market participants
Context before entry. Always.
You react fast. Session One puts a macro read, the day's catalysts and a fair-value check in front of every idea.
Macro Overview → Market Pulse → Equity Research
Explore the macro desk Portfolio builders
Concentration is a position. Own it.
Test your full book against rate, growth and sector shocks, before the market runs the test for you.
Portfolio Lab → Stress Test → Forward Path
Open Portfolio Lab 08 · Pricing · Founding access
One terminal. One price.
Founding member access
€49/ month · founding price
All four valuation engines: DCF, Monte Carlo, Future Scenarios, Peer Comparison
22 valuation archetypes, auto-classified
10,000-path simulation runs
8-year explicit forecasts
The macro desk: Macro Overview, Market Pulse, Quarterly Capital Review
Portfolio stress testing in Portfolio Lab
Free to start. No credit card required.
Billing launches later: founding members keep the founding price.
What the price covers
Institutional terminals list from roughly €12,000 to €24,000 per year.
All engines
DCF, the simulation, Future Scenarios and Peer Comparison on every run.
Macro coverage
Macro Overview, Market Pulse and the Quarterly Capital Review.
Portfolio stress
Stress testing across a full book in Portfolio Lab.
09 · Questions
Asked before you ask.
14 of 14 answers
Answers come from Session One's published pages. Not investment advice.