The footnote that breaks the thesis,
found before you commit capital.
For the stock you can't afford to be wrong about — the position that's too big, the name you're about to buy. Stockonomy is the forensic layer underneath your own research: a deep, reproducible read of every company's real 10-K, 10-Q and 8-K — how fragile the balance sheet is, whether the earnings are real cash or accruals, and whether the price is actually justified by the fundamentals. Verified XBRL, source-linked to EDGAR. Built to flag the disasters institutions screen for — not to sell you the next winner.
Every figure traceable to the filing · No credit card required
The same forensic checks, replayed before the collapse
We don't claim to predict the future. We show something checkable: the kinds of signal our engine reads — cash that never matches profit, balance-sheet fragility, revenue outrunning its receivables — were sitting in the public SEC filings before these companies came apart. Run on data truncated to before each blow-up. Reproducible, no AI guesswork.
And we don't hide behind a fake price target. Every name gets a calibrated 12-month return band — an honest probability range with a fat downside tail, not a single number — measured out-of-sample across 1,000+ point-in-time cases so the stated band actually brackets the real outcome about as often as it claims. The whole track record is public.
See the full proof & calibration →The answer is in the filing. Nobody has time to read it.
Whether a business is healthy, whether the earnings are real, whether the price makes sense — it's all disclosed in the 10-K and 10-Q every company is legally required to file. But that's 200 pages of footnotes per name, per quarter, and the signal that matters — cash that never matches profit, leverage outrunning coverage, revenue outrunning receivables — sits buried where a quick glance never finds it. Stockonomy runs the forensic checks an analyst would do by hand, on every filing, and shows the work.
The forensic work-up an analyst would do by hand
Built on the same primary SEC data institutions pay for — turned into a reproducible read on the risk and the reward, with every figure traceable back to the filing.
Forensic distress & earnings-quality screens
Altman Z for distress risk and Beneish M for earnings manipulation — the same screens institutions run — plus cash-conversion, accruals, DSO and DIO checks. The first question is always 'is this business sound underneath the price', not 'is it going up'.
Every number traceable to the filing
Figures come from verified XBRL, each one source-linked to the exact EDGAR document and as-of date. Where a value can't be confirmed from the primary filing, it's flagged as unverified rather than shown as fact — so you can trust the ones that aren't.
Price-aware verdict, with the reasoning
Is the price justified by the quality? One coherent verdict — sound and fairly valued, pricey but defensible, or carrying more risk than the reward supports — built as a causal chain from filing to line item to consequence, not a black-box score.
The whole filing, read and queried
A deep read of the real 10-K, 10-Q, 8-K and Form 4 behind every name, plus unlimited Q&A that retrieves over the complete filing — ask about a segment, a covenant, dilution, or a footnote and get the passage, not a guess.
Management tone, tracked across years
We compare management's own words across years of filings to surface when confidence quietly shifts — new hedging around a segment, a customer, or liquidity. Context on the people running the business, grounded in what they actually wrote.
Insider activity & dilution, in context
Form 4 buying and selling (10b5-1 plans separated out) and share-count dilution or buybacks — read as signals of how the people closest to the business see its value, explained rather than just listed.
Reproducible proof, not back-fit claims
The forensic checks are deterministic Python, calibrated point-in-time against history — and replayed on data truncated before each well-known collapse so you can verify the signal classes were visible in the filings beforehand.
A weekly sector teardown
Each week we run an entire sector through the same engine and email a plain-English read on which names look sound, which look stretched, and which the screens flag. A two-minute skim.
How it works
Enter a ticker
Any name you're researching or already hold. Stockonomy pulls its real EDGAR filings — 10-K, 10-Qs, 8-Ks and Form 4s — and the verified XBRL behind them.
The engine runs the forensics
Distress and earnings-quality screens, cash-conversion and accrual checks, sector-relative valuation, capital allocation and management tone — deterministic, calibrated, and source-linked to the filing.
You get one coherent verdict
A single price-aware read — sound and fairly valued, pricey but defensible, or carrying more risk than the reward supports — written as a causal chain you can audit, not a black-box score.
Track it, and get flagged on change
Add names to a watchlist and Stockonomy re-checks them after each new filing, emailing only the material changes — a downgrade in quality, a forensic disclosure, an insider cluster.
The analysis is free. Here's the honest plan behind it.
The full forensic work-up — on any stock, any time you ask — is free for individual investors, no card. That's the point: the analysis is the demo. The business sells to professionals — advisors and firms who need a documented, defensible due-diligence record, and platforms that license the engine. Your individual use stays free, and we don't sell anything that identifies you.
Why it costs us little
The forensic core is deterministic Python over free, public SEC EDGAR data — not an expensive model running on every screen. The heavy computation is cached and shared across users, so the cost of one more analysis stays near zero.
How we plan to fund it
Individual analysis stays free — it's the demo and the funnel. The revenue comes from professionals: advisor and firm subscriptions for documented due diligence, and non-exclusive licensing of the forensic engine to platforms (we host and keep improving it; they rent the use). We don't sell the company or hand over the IP, and we don't claim deals we haven't made yet — this is the plan we're building in the open.
What we won't do
We don't sell data that identifies you — not your email, not your individual activity — and we take no order flow. We're not an ad business monetizing your attention, and the forensic verdict itself is never for sale: no company can pay to change its grade. Our incentive is that the analysis is right.
Free for individual investors. Run a practice or a platform? Stockonomy for professionals →
Manage other people's money? You have to document the diligence.
Stockonomy gives advisors a source-linked, reproducible due-diligence record on every client holding, continuous SEC monitoring across the whole book, and a deterministic engine that won't drift or hallucinate — the kind of paper trail a fiduciary can defend. Platforms can license the same engine as a data feed. You rent the use; the technology stays ours.
Stockonomy for professionals →A plain-English read on a whole sector — every week
Each week we run an entire sector through the same engine — financial-health screens and valuation — and email you which names look solid, which look overpriced, and which carry more risk than the reward justifies. A two-minute read. No account needed. Unsubscribe anytime.
Informational only · not investment advice
The thesis lives or dies in a filing you'll never finish reading
Stockonomy runs the forensic work-up for you — so you know the risk you're taking and whether the price justifies it, on any name you research or hold.
Analyze a stock — freeNo credit card · Every figure traceable to the filing